{"meta":{"query_hash":"7d9102bef887","filters":{"topic":"Advanced Numerical Analysis Techniques"},"cohort_total":795,"direct_labels_cover":2,"predictions_cover":795,"exported":795,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/7d9102bef887","api":"https://metacan.xera.ac/api/v1/cohort?topic=Advanced+Numerical+Analysis+Techniques"},"results":[{"id":"W1162869768","doi":"10.71781/10106","title":"Génération et édition de textures géométriques représentées par des ensembles de points","year":2008,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Physics; Philosophy","score_opus":0.024753162448476657,"score_gpt":0.3373479807722604,"score_spread":0.3125948183237838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1162869768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8170773,0.0016451487,0.16284585,0.00035945198,0.00018194948,0.00079162273,0.000081859056,0.00008346303,0.016933385],"genre_scores_gemma":[0.52990276,0.0053087953,0.45936778,0.000065410604,0.00019285061,0.00017686498,0.001966265,0.0001140594,0.0029052505],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99751997,0.0003179507,0.00068791996,0.0006387083,0.00028076442,0.00055469386],"domain_scores_gemma":[0.998555,0.00028513581,0.00033810313,0.00042290584,0.00020729519,0.00019153215],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047699228,0.00052317267,0.00063305325,0.0002499544,0.00035034216,0.000302561,0.0005185762,0.0005652564,0.0007223084],"category_scores_gemma":[0.0005339483,0.0005855318,0.00024152291,0.00042693777,0.00014235287,0.00095064635,0.00008066078,0.00053520326,0.00020713003],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032064063,0.00059612154,0.0072082547,0.00053754647,0.00073309493,0.00032472654,0.028041638,0.027415616,0.4054723,0.00095818535,0.004783324,0.52360857],"study_design_scores_gemma":[0.00028791037,0.00015858874,0.014075716,0.0010516697,0.0002930722,0.00009934272,0.0015416925,0.007446395,0.9427139,0.021276336,0.010112283,0.0009430492],"about_ca_topic_score_codex":0.0014538856,"about_ca_topic_score_gemma":0.003768223,"teacher_disagreement_score":0.53724164,"about_ca_system_score_codex":0.0005977366,"about_ca_system_score_gemma":0.00018536547,"threshold_uncertainty_score":0.9996596},"labels":[],"label_agreement":null},{"id":"W1277493121","doi":"10.1090/amsip/025/13","title":"Approximation power of refinable vectors of functions","year":2002,"lang":"en","type":"book-chapter","venue":"AMS/IP studies in advanced mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Power (physics); Mathematics; Physics; Thermodynamics","score_opus":0.03602036012639951,"score_gpt":0.28160235052814214,"score_spread":0.24558199040174264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1277493121","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014643363,0.017232073,0.24332206,0.0000311938,0.0005581183,0.0013699993,0.00012000158,0.00092593767,0.7349763],"genre_scores_gemma":[0.104538225,0.036102876,0.6414044,0.000028552191,0.00010319282,0.0003910644,0.00006789978,0.0006242394,0.21673957],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981708,0.0000065774857,0.0010533106,0.00023951264,0.00030658612,0.00022324143],"domain_scores_gemma":[0.9984541,0.0002628355,0.00047113164,0.00056814996,0.0002134222,0.000030382407],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011402328,0.00039795757,0.0012258324,0.00033862176,0.00002983964,0.0000023341167,0.00019000153,0.00018529958,0.00008873158],"category_scores_gemma":[0.00019404864,0.0003802472,0.00019979675,0.00021045389,0.00024317468,0.00012210732,0.00010698258,0.00031337523,0.00001648051],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077524935,0.001289338,0.00005941849,0.035557427,0.0061273156,0.00006425666,0.017443491,0.24443878,0.007620832,0.62548256,0.009538983,0.052300084],"study_design_scores_gemma":[0.0013477548,0.0008174846,0.000020210437,0.010266981,0.0011779234,0.000022265573,0.0047360086,0.020586638,0.018890932,0.88949215,0.04961862,0.0030230465],"about_ca_topic_score_codex":8.632608e-7,"about_ca_topic_score_gemma":0.00000437615,"teacher_disagreement_score":0.5182367,"about_ca_system_score_codex":0.00023434774,"about_ca_system_score_gemma":0.000005933061,"threshold_uncertainty_score":0.99986494},"labels":[],"label_agreement":null},{"id":"W129480699","doi":"","title":"Local fairing with local inverse","year":2013,"lang":"en","type":"article","venue":"Graphics Interface","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Smoothing; Subdivision; Inverse; Local structure; Interpretation (philosophy); Computer science; Mathematics; Class (philosophy); Domain (mathematical analysis); Algorithm; Geometry; Topology (electrical circuits); Mathematical optimization; Mathematical analysis; Combinatorics; Artificial intelligence; Engineering; Computer vision; Physics","score_opus":0.007017922107710866,"score_gpt":0.21774387870851197,"score_spread":0.2107259566008011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W129480699","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.060894735,0.000110893896,0.93601173,0.00007455995,0.00003513596,0.00010464403,0.0000010087302,0.0008430246,0.0019242909],"genre_scores_gemma":[0.98918504,0.000042877295,0.010502934,0.00009578029,0.00001266711,0.000037661845,0.0000016650223,0.000040090465,0.00008128026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921364,0.00001156538,0.0001699122,0.00018751666,0.00015311223,0.00026425935],"domain_scores_gemma":[0.99951756,0.000029281036,0.00002278957,0.00026712354,0.00005921348,0.00010401923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003995384,0.000179569,0.00018275924,0.000121864854,0.000035308774,0.000028619768,0.00019677551,0.00007587692,0.00013240565],"category_scores_gemma":[0.000006110852,0.0001478133,0.000057816054,0.0004219583,0.00022539802,0.00024400197,0.000051430885,0.00033030994,0.00019333203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004036741,0.0001173405,0.0025237368,0.00022094985,0.00057502615,0.00004271286,0.0006792997,0.83913356,0.016061895,0.007884953,0.020227855,0.11249233],"study_design_scores_gemma":[0.0002978425,0.00019326176,0.0004536257,0.00012510901,0.000046594057,0.000023835786,0.0006921515,0.8427068,0.13375534,0.009001531,0.011986033,0.00071789435],"about_ca_topic_score_codex":0.0000971696,"about_ca_topic_score_gemma":0.000103782004,"teacher_disagreement_score":0.9282903,"about_ca_system_score_codex":0.00006151204,"about_ca_system_score_gemma":0.0000039781157,"threshold_uncertainty_score":0.6027652},"labels":[],"label_agreement":null},{"id":"W1489688050","doi":"10.3968/j.pam.1925252820120401.1533","title":"Second Triangular Hermite Spline Curves and Its Application","year":2012,"lang":"en","type":"article","venue":"Progress in applied mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cubic Hermite spline; Hermite spline; Monotone cubic interpolation; Smoothing spline; Spline interpolation; Mathematics; Hermite interpolation; Hermite polynomials; Trigonometry; Thin plate spline; Trigonometric polynomial; Spline (mechanical); Applied mathematics; Mathematical analysis; Polynomial interpolation; Polynomial; Linear interpolation; Statistics; Engineering; Structural engineering","score_opus":0.011019970708436924,"score_gpt":0.2663380305627638,"score_spread":0.2553180598543269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1489688050","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25786084,0.121561944,0.5849509,0.00021995748,0.000119422395,0.0048013353,0.000029288449,0.0034196512,0.027036633],"genre_scores_gemma":[0.863202,0.00059866585,0.13545562,0.00003396334,0.000051652947,0.00057545764,0.0000107488895,0.000043790653,0.000028117498],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999227,0.0000044980725,0.00029193555,0.00011753477,0.00012092363,0.00023812569],"domain_scores_gemma":[0.99961686,0.00004685619,0.00006091324,0.00019200183,0.000012261511,0.000071098504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021356228,0.00014982936,0.00026690695,0.00007330156,0.000018338273,0.000009356937,0.00010317522,0.00006689573,0.000031977663],"category_scores_gemma":[0.000010932053,0.00013935378,0.00002385761,0.00024622504,0.000032233052,0.0000867673,0.000043370594,0.00013009313,0.0000218332],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030100877,0.0016278076,0.0042137383,0.020191016,0.0003066684,0.000006743699,0.0029082883,0.00042739447,0.037716098,0.21054311,0.0009750128,0.721054],"study_design_scores_gemma":[0.0021191894,0.00006649222,0.0018896211,0.0010900036,0.00035372082,0.00004990106,0.00036870205,0.4384456,0.43565857,0.07749189,0.039798006,0.0026683188],"about_ca_topic_score_codex":4.9091273e-8,"about_ca_topic_score_gemma":6.392244e-7,"teacher_disagreement_score":0.7183857,"about_ca_system_score_codex":0.000030475769,"about_ca_system_score_gemma":0.0000016189624,"threshold_uncertainty_score":0.56826824},"labels":[],"label_agreement":null},{"id":"W1497703314","doi":"10.1007/978-3-642-14075-4_21","title":"On Multi-resolution Point-Based Haptic Rendering of Suture","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Haptic technology; Computer science; Rendering (computer graphics); Computer vision; Simulation; Artificial intelligence; Computer graphics (images)","score_opus":0.011807084890789268,"score_gpt":0.2390516728721768,"score_spread":0.22724458798138752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1497703314","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013359127,0.00015603253,0.99838614,0.000059949456,0.0003445206,0.00015454553,0.0000052540768,0.000297695,0.00046226967],"genre_scores_gemma":[0.38645044,0.000013153808,0.613204,0.00015554047,0.000095986004,0.000004679951,0.000005422984,0.000043506912,0.000027276386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838823,0.000007643863,0.00034636338,0.0005150134,0.00043073136,0.00031203942],"domain_scores_gemma":[0.9988739,0.00022161314,0.0001185445,0.0006197427,0.00008843931,0.00007779583],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019605478,0.00034641605,0.00042466738,0.00058426306,0.000060651102,0.000032021948,0.00061351346,0.0003340077,0.000026386073],"category_scores_gemma":[0.000090193505,0.0003145313,0.00012833386,0.00029923065,0.00038681953,0.000107481945,0.0001050509,0.0010048291,0.000007448851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051186275,0.000015335641,0.0000056054523,0.00006238329,0.000009224655,0.000010690772,0.000047930873,0.9033286,0.014177359,0.0005960094,0.000003612791,0.08173814],"study_design_scores_gemma":[0.000117057214,0.00007807021,0.000024133407,0.00032836525,0.000011261356,0.0000033454196,3.6764682e-8,0.93770075,0.040480908,0.020705976,0.00021063947,0.00033945942],"about_ca_topic_score_codex":0.000008333042,"about_ca_topic_score_gemma":0.000067662244,"teacher_disagreement_score":0.38631684,"about_ca_system_score_codex":0.00019459648,"about_ca_system_score_gemma":0.000044983542,"threshold_uncertainty_score":0.9999307},"labels":[],"label_agreement":null},{"id":"W1505728031","doi":"10.1007/978-1-84882-406-5","title":"Implicit Curves and Surfaces: Mathematics, Data Structures and Algorithms","year":2009,"lang":"en","type":"book","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Victoria","funders":"","keywords":"Algorithm; Computer science; Mathematics","score_opus":0.01975977068690537,"score_gpt":0.27070441855310573,"score_spread":0.25094464786620035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1505728031","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010672821,0.11158675,0.3779845,0.00024881546,0.000082377635,0.0012093318,0.00076929206,0.0043753157,0.5036369],"genre_scores_gemma":[0.00018783368,0.08603973,0.6904357,0.0004399228,0.00022108511,0.000011567804,0.0012950521,0.0002343069,0.22113483],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989991,0.000005990574,0.00029067654,0.00036584097,0.00016128612,0.00017710574],"domain_scores_gemma":[0.99902314,0.0000950153,0.000060240145,0.0007129175,0.000022594066,0.00008611149],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008134155,0.00033272017,0.00059717166,0.000075637974,0.00002771289,0.000042336305,0.00032691893,0.00017928806,0.000057075773],"category_scores_gemma":[0.000025384184,0.00026774473,0.000029522664,0.00004834892,0.00007127722,0.00015868159,0.00021357002,0.00025599345,0.0000025652837],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020369685,0.000024229157,0.000012987895,0.0045088893,0.000692326,0.000025815862,0.00008476395,0.0003334018,0.00029653774,0.008423164,0.7287223,0.2568736],"study_design_scores_gemma":[0.00023667575,0.00009947701,0.00021300347,0.0013568768,0.0006778194,0.00009676162,0.000031425745,0.09562355,0.00060032925,0.49760282,0.4013385,0.0021227703],"about_ca_topic_score_codex":0.00000943422,"about_ca_topic_score_gemma":0.000014696495,"teacher_disagreement_score":0.48917967,"about_ca_system_score_codex":0.000030085928,"about_ca_system_score_gemma":0.000010005352,"threshold_uncertainty_score":0.99997747},"labels":[],"label_agreement":null},{"id":"W1508197973","doi":"10.1007/978-3-540-25959-6_23","title":"Local Specification of Surface Subdivision Algorithms","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Subdivision; Polygon mesh; Polygon (computer graphics); Algorithm; Executable; Search engine indexing; Theoretical computer science; Graph; Programming language; Computer graphics (images); Artificial intelligence","score_opus":0.011448164076852394,"score_gpt":0.23916935260410815,"score_spread":0.22772118852725576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1508197973","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001520025,0.00039919151,0.9975936,0.000023362869,0.00020889482,0.00013645187,0.0000035484427,0.00020626305,0.0012767136],"genre_scores_gemma":[0.5768371,0.000090392976,0.42291325,0.000025919426,0.0000715232,7.4778717e-7,0.000006117614,0.000030043155,0.000024874533],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983605,0.000004523038,0.00039666664,0.00045957824,0.0005209971,0.0002577492],"domain_scores_gemma":[0.99910074,0.00012534866,0.00010537417,0.0004828647,0.00011927582,0.000066406414],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026244752,0.00026559795,0.00037207516,0.00033376258,0.000034256645,0.000024141775,0.0005831791,0.00020753178,0.000027831158],"category_scores_gemma":[0.000015294358,0.00024810928,0.00008451474,0.00044109058,0.00051070517,0.00013405172,0.00013102306,0.0004286857,0.000012264504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013929372,0.000006256472,0.0000052554988,0.000024976245,0.000004336703,0.00000727783,0.000045471206,0.615503,0.00105888,0.0014061215,0.000001734455,0.38193527],"study_design_scores_gemma":[0.000088903296,0.000074270785,0.00008249823,0.00030858716,0.0000100826055,0.0000075202606,1.3094105e-7,0.75867516,0.10979487,0.1301231,0.00041375204,0.0004211571],"about_ca_topic_score_codex":0.000012499606,"about_ca_topic_score_gemma":0.00000910295,"teacher_disagreement_score":0.57668513,"about_ca_system_score_codex":0.00039589932,"about_ca_system_score_gemma":0.00004651056,"threshold_uncertainty_score":0.99999714},"labels":[],"label_agreement":null},{"id":"W1514151998","doi":"","title":"Proceedings of the fourth Eurographics symposium on Geometry processing","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":338,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Geometry processing; Geometry; Computer science; Computer graphics (images); Intersection (aeronautics); Computer graphics; Computational geometry; Graphics; Set (abstract data type); Algorithm; Mathematics; Polygon mesh; Geography; Cartography","score_opus":0.004240833220321979,"score_gpt":0.2002820208446728,"score_spread":0.19604118762435083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1514151998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7987486,0.000137632,0.038285956,0.00038065028,0.000055839395,0.00026656155,0.0000023365533,0.0016735307,0.16044886],"genre_scores_gemma":[0.9919346,0.000014238692,0.0076728007,0.00004708317,0.000035055742,0.000008337453,4.935819e-7,0.000022172775,0.00026521465],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99940294,0.0000016081286,0.00016961205,0.00010822451,0.00017885356,0.00013878696],"domain_scores_gemma":[0.9997793,0.000013211042,0.00004260843,0.00008376918,0.00006318967,0.00001795946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004604444,0.00010099085,0.00012024995,0.00010691413,0.00003670582,0.000016527936,0.00016164497,0.0000398424,0.0000065031672],"category_scores_gemma":[0.0000079739375,0.000064790824,0.0000778302,0.0009820714,0.00004724245,0.00009173952,0.000024408839,0.00012272743,0.0000016481193],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000234554,0.00047134102,0.06660296,0.00094028143,0.00012733489,0.0000023122261,0.00014189033,0.070560925,0.7500624,0.06310885,0.012383762,0.035574455],"study_design_scores_gemma":[0.00018596754,0.000100188205,0.011735624,0.00015134567,0.00007132222,0.00000526996,0.000059489754,0.049163565,0.9166012,0.009937539,0.0115405945,0.00044789564],"about_ca_topic_score_codex":0.0000061664887,"about_ca_topic_score_gemma":0.0000016916149,"teacher_disagreement_score":0.19318597,"about_ca_system_score_codex":0.00001763658,"about_ca_system_score_gemma":0.0000023063594,"threshold_uncertainty_score":0.26420933},"labels":[],"label_agreement":null},{"id":"W1519399026","doi":"10.1007/3-540-44839-x_8","title":"Progressive Curve Representation Based on Reverse Subdivision","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Calgary","funders":"","keywords":"Subdivision; Computer science; Rendering (computer graphics); Subdivision surface; Curve fitting; Representation (politics); Algorithm; Computer graphics (images); Polygon mesh","score_opus":0.013034954508537783,"score_gpt":0.26835664890952515,"score_spread":0.2553216944009874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1519399026","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000049090104,0.00017966772,0.9957329,0.000105848536,0.00029565455,0.00029073656,0.000003512638,0.0003057457,0.0030368422],"genre_scores_gemma":[0.2796804,0.00009546415,0.7175058,0.0019375447,0.00032306483,0.00004337465,0.000043399697,0.00013738868,0.00023357265],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810827,0.000020977834,0.00029370384,0.00068517803,0.00059392396,0.00029795142],"domain_scores_gemma":[0.9988301,0.00022930063,0.00011161744,0.00064105703,0.00010706528,0.00008088459],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021218459,0.0003343619,0.00034453243,0.0005193538,0.0000739479,0.00007141647,0.00045352345,0.00019403573,0.000041386465],"category_scores_gemma":[0.000104303756,0.00029985222,0.00010312023,0.00048812467,0.00025535363,0.00016721412,0.00007424281,0.0005450278,0.000020889429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000632622,0.00001547746,0.00004831431,0.000028617706,0.0000067854894,0.00007748134,0.000043598953,0.7009691,0.00015112317,0.00033162412,0.00012903016,0.29819253],"study_design_scores_gemma":[0.00012029951,0.00011852918,0.000033445725,0.00044548753,0.000011935934,0.0000066150246,5.750237e-8,0.95060986,0.012547389,0.034192905,0.0014543983,0.00045906915],"about_ca_topic_score_codex":0.0000030251033,"about_ca_topic_score_gemma":0.0000034182403,"teacher_disagreement_score":0.29773346,"about_ca_system_score_codex":0.00029904032,"about_ca_system_score_gemma":0.00003388971,"threshold_uncertainty_score":0.99994534},"labels":[],"label_agreement":null},{"id":"W1535852552","doi":"10.1109/iai.2002.999926","title":"Spatio-temporal motion segmentation via level set partial differential equations","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Artificial intelligence; Image segmentation; Computer vision; Scale-space segmentation; Partial differential equation; Segmentation-based object categorization; Computer science; Segmentation; Motion field; Motion analysis; Pattern recognition (psychology); Image (mathematics); Motion (physics); Discretization; Level set method; Mathematics; Mathematical analysis","score_opus":0.033616963077797136,"score_gpt":0.27646905171393826,"score_spread":0.24285208863614113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1535852552","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048050206,0.0000073113783,0.9506021,0.000016437843,0.000085739084,0.00011690109,0.000007296968,0.00044973622,0.0006642591],"genre_scores_gemma":[0.9711155,0.0000043140144,0.02832719,0.00001823325,0.00004030294,0.00004369182,0.00021977889,0.000018724457,0.0002122545],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993476,0.00003199981,0.00020633855,0.0001278254,0.00014419667,0.00014201412],"domain_scores_gemma":[0.99974686,0.00001985935,0.000028449034,0.00012541967,0.00002923701,0.000050150447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000042636002,0.000110853696,0.000107130974,0.00006912564,0.000052050902,0.000020043532,0.000045608544,0.000046894165,0.0006001249],"category_scores_gemma":[0.000024897587,0.00010737133,0.000054055847,0.00018335022,0.000015015737,0.00015172134,0.0000074907034,0.00006331482,0.000054651122],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004508739,0.0005593982,0.019969715,0.00012941843,0.0005360885,0.00000821404,0.00090129295,0.3317451,0.47479782,0.040664136,0.007934098,0.12270963],"study_design_scores_gemma":[0.00036115144,0.0000471887,0.0014890139,0.0000052702367,0.00005830114,0.0000018969209,0.000048561615,0.5569204,0.43522888,0.0037110217,0.0017562689,0.00037206057],"about_ca_topic_score_codex":0.000019734998,"about_ca_topic_score_gemma":0.00005539757,"teacher_disagreement_score":0.9230653,"about_ca_system_score_codex":0.00006425604,"about_ca_system_score_gemma":0.000003985517,"threshold_uncertainty_score":0.65709466},"labels":[],"label_agreement":null},{"id":"W1540741350","doi":"10.1023/a:1020774608752","title":"Matrix Cubic Splines for Progressive 3D Imaging","year":2002,"lang":"en","type":"article","venue":"Journal of Mathematical Imaging and Vision","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Rendering (computer graphics); Computer science; Computer graphics (images); Algorithm; Computer vision; Artificial intelligence","score_opus":0.0096790321387853,"score_gpt":0.3221309051991915,"score_spread":0.3124518730604062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1540741350","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017012693,0.0069879363,0.9743769,0.0009010098,0.000067377885,0.00013338338,0.0000016773296,0.00014814235,0.00037087445],"genre_scores_gemma":[0.6220143,0.00028655093,0.37736106,0.00004869617,0.00017958191,0.000006530281,4.7896657e-7,0.000036363053,0.00006649069],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910885,0.000011819843,0.0004405211,0.000089969566,0.00017196377,0.00017685944],"domain_scores_gemma":[0.9993766,0.00018412597,0.00013295255,0.0000951725,0.000114291215,0.00009684282],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021066949,0.00013049551,0.00030922156,0.00012874373,0.000052695606,0.00006425104,0.000097715834,0.000022328979,0.000053893044],"category_scores_gemma":[0.00015363966,0.00009269754,0.00011651007,0.000104373394,0.000053969492,0.00030228592,0.000025149902,0.0001523771,0.0000066509906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041485648,0.00037748096,0.00062765996,0.0011805613,0.00014194108,0.00013770215,0.0005374195,0.0012599492,0.029090248,0.001481375,0.016729087,0.9483951],"study_design_scores_gemma":[0.00036493264,0.000060520706,0.000029947516,0.00047800172,0.00009324428,0.00036761354,0.000060175633,0.9569765,0.002921053,0.036022622,0.0024586003,0.0001668281],"about_ca_topic_score_codex":9.147801e-8,"about_ca_topic_score_gemma":1.0942891e-8,"teacher_disagreement_score":0.9557165,"about_ca_system_score_codex":0.000024890742,"about_ca_system_score_gemma":0.0000017079336,"threshold_uncertainty_score":0.3780096},"labels":[],"label_agreement":null},{"id":"W1555260909","doi":"10.1007/978-3-540-30231-5_7","title":"Floating-Point Filter for the Line Intersection Algorithm","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Intersection (aeronautics); Computer science; Point (geometry); Filter (signal processing); Floating point; Computation; Algorithm; Representation (politics); Line (geometry); Line segment; Theoretical computer science; Artificial intelligence; Mathematics; Computer vision","score_opus":0.011769418719654772,"score_gpt":0.2446099806250346,"score_spread":0.23284056190537983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1555260909","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000004170153,0.0002812416,0.99767977,0.00023448862,0.00073146675,0.00035247114,0.0000078372395,0.00032678436,0.0003817939],"genre_scores_gemma":[0.047505993,0.000074173826,0.95072925,0.000574451,0.0008789088,0.000031681437,0.000010180001,0.00006666908,0.00012867828],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986403,0.0000042759048,0.00031145973,0.00046492557,0.00027354388,0.0003055113],"domain_scores_gemma":[0.9989995,0.00032430215,0.00007753495,0.00044823976,0.000101837075,0.000048632697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024285946,0.00030732117,0.0002961281,0.00026003722,0.00012001245,0.000087240056,0.00062523276,0.0001601894,0.000033095457],"category_scores_gemma":[0.000051060488,0.00022007574,0.00014907209,0.0002447433,0.00027312676,0.0001443715,0.00015944318,0.0005359961,0.000007721635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012893287,0.0000029814594,2.7867566e-7,0.0000150457245,0.00001128578,0.000002180257,0.00008790705,0.39624912,0.00014280013,0.00022835372,0.000013641439,0.6032451],"study_design_scores_gemma":[0.00008391888,0.000087622764,0.000002304439,0.00016644053,0.000016596137,0.000009370321,1.6283462e-7,0.86005247,0.00847958,0.12907301,0.0017620947,0.0002664584],"about_ca_topic_score_codex":0.000012914861,"about_ca_topic_score_gemma":0.000032720567,"teacher_disagreement_score":0.60297865,"about_ca_system_score_codex":0.00040986465,"about_ca_system_score_gemma":0.00003780655,"threshold_uncertainty_score":0.8974428},"labels":[],"label_agreement":null},{"id":"W15693508","doi":"","title":"Simulating Flows Over Wavy Inclined Surfaces.","year":2009,"lang":"en","type":"article","venue":"Conference on Scientific Computing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mechanics; Computer science; Geology; Physics","score_opus":0.029336705342892844,"score_gpt":0.3000140502276549,"score_spread":0.2706773448847621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W15693508","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76461065,0.000049110826,0.22508372,0.000086490945,0.00040961307,0.00013701976,0.0000027619908,0.0012546497,0.008365966],"genre_scores_gemma":[0.98453563,0.0000024682174,0.0150795635,0.000074732015,0.000067689354,7.2715727e-7,0.000011360388,0.000016259819,0.00021158502],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834305,0.00002971646,0.00039541558,0.00045873795,0.00035887057,0.00041423208],"domain_scores_gemma":[0.9991278,0.0001216467,0.00007470301,0.0004389013,0.000121743775,0.00011520572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040904304,0.0002161744,0.00028536373,0.00018491749,0.00025191242,0.0002891783,0.00035244177,0.00006567575,0.00012492394],"category_scores_gemma":[0.00011419148,0.00020647394,0.00009094177,0.00078303146,0.000064413674,0.00016665853,0.000070967886,0.0002675391,0.000085339205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045814763,0.000047505215,0.00024330916,0.00001505583,0.000014507582,0.000008068416,0.00033437982,0.62352407,0.068718076,0.0019197775,0.0006270305,0.3045436],"study_design_scores_gemma":[0.00011474345,0.000027973203,0.0010763411,0.000076484874,0.000006348362,6.421549e-7,0.000024855097,0.9887181,0.0052686837,0.0030839213,0.0013531768,0.00024873207],"about_ca_topic_score_codex":0.000003127289,"about_ca_topic_score_gemma":0.000004531776,"teacher_disagreement_score":0.365194,"about_ca_system_score_codex":0.00007932913,"about_ca_system_score_gemma":0.000019600715,"threshold_uncertainty_score":0.8419763},"labels":[],"label_agreement":null},{"id":"W1574628199","doi":"10.1007/978-3-540-24767-8_25","title":"Incremental Adaptive Loop Subdivision","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Subdivision; Computer science; Subdivision surface; Aliasing; Loop (graph theory); Surface (topology); Algorithm; Computer vision; Mathematics; Computer graphics (images); Polygon mesh; Filter (signal processing); Geometry","score_opus":0.011415495580650876,"score_gpt":0.23593310500938153,"score_spread":0.22451760942873064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1574628199","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00018077409,0.00045900675,0.9945056,0.0000289339,0.000258751,0.00018213011,0.000004770021,0.00041709433,0.003962929],"genre_scores_gemma":[0.7037161,0.00012426272,0.2955952,0.00023323229,0.00020041277,0.0000062478625,0.000006781625,0.00005751457,0.000060264065],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99818134,0.00000580203,0.0003032395,0.00059933134,0.00054349774,0.00036677663],"domain_scores_gemma":[0.99924225,0.0000900243,0.00006843376,0.00043673106,0.00006666632,0.0000959024],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016151214,0.00037901243,0.00038805546,0.00045270124,0.000076388744,0.000061982406,0.00069607684,0.00019967493,0.000070153634],"category_scores_gemma":[0.000017824985,0.00034955554,0.000101675796,0.0003503142,0.00037726155,0.00021988201,0.00030230143,0.00062586984,0.00004168556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043224804,0.000011661269,0.000014325003,0.00002185381,0.000016968299,0.000049696187,0.0000886531,0.3624332,0.0010842117,0.0035575023,0.000010524651,0.63270706],"study_design_scores_gemma":[0.0002260294,0.00023404694,0.00007132099,0.0007397824,0.00002437251,0.000020417017,1.6812137e-7,0.6034989,0.035485666,0.35806283,0.00055843935,0.001078015],"about_ca_topic_score_codex":0.000015973426,"about_ca_topic_score_gemma":0.000026738897,"teacher_disagreement_score":0.7035353,"about_ca_system_score_codex":0.0007161869,"about_ca_system_score_gemma":0.00006003985,"threshold_uncertainty_score":0.99989563},"labels":[],"label_agreement":null},{"id":"W1574939360","doi":"10.20380/gi2003.23","title":"Distortion Minimization and Continuity Preservation in Surface Pasting","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Minification; Surface fitting; Spline (mechanical); Distortion (music); Surface (topology); Tensor product; Computer science; Mathematical optimization; Algorithm; Least-squares function approximation; B-spline; Mathematics; Geometry; Mathematical analysis; Engineering; Mechanical engineering","score_opus":0.008145842072169491,"score_gpt":0.22079317975520876,"score_spread":0.21264733768303928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1574939360","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48041567,0.000052963936,0.5161811,0.000009943769,0.0000093207955,0.000051435265,2.171067e-7,0.00017202352,0.003107279],"genre_scores_gemma":[0.97158694,0.00002954426,0.028254854,0.0000074530167,0.0000029471441,0.0000037799227,0.0000035172636,0.0000061855603,0.000104749124],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996854,0.00001547248,0.0001162625,0.000072153256,0.000043742555,0.00006698282],"domain_scores_gemma":[0.9998809,0.000025567986,0.0000144659625,0.000048992428,0.000014330257,0.000015727479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000066063214,0.000045670342,0.000067872184,0.000024877527,0.000011627764,0.000007794064,0.000015648726,0.000025317913,0.000014015574],"category_scores_gemma":[0.000083381805,0.000045096625,0.000007612034,0.0001684297,0.0000073068722,0.00020783099,0.000004454077,0.000038399583,7.864518e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075593744,0.000056274857,0.51090723,0.00009520897,0.000018766415,0.000002066938,0.00042843982,0.40908575,0.038974203,0.0071257637,0.0004295046,0.032869224],"study_design_scores_gemma":[0.00039435807,0.000027781909,0.111083545,0.00003672332,0.000014711134,0.0000016271033,0.0001134814,0.7977897,0.07752842,0.006706777,0.0059202714,0.0003826191],"about_ca_topic_score_codex":0.000016379103,"about_ca_topic_score_gemma":0.00005675026,"teacher_disagreement_score":0.4911713,"about_ca_system_score_codex":0.000034724486,"about_ca_system_score_gemma":0.0000010866436,"threshold_uncertainty_score":0.18389869},"labels":[],"label_agreement":null},{"id":"W1575744778","doi":"","title":"Influence of material model and modeling space on the precision of a finite element simulation to predict the deformation of silicone rubber","year":2011,"lang":"en","type":"article","venue":"Magazine Portal Bibliotech Digital (Universidad Nacional de Colombia)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Silicone rubber; Finite element method; Deformation (meteorology); Materials science; Natural rubber; Composite material; Silicone; Structural engineering; Engineering","score_opus":0.017782044660130975,"score_gpt":0.23164268336919003,"score_spread":0.21386063870905905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1575744778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8894194,0.00000861018,0.10947783,0.00006358088,0.000006709108,0.0002784921,0.000108561624,0.000048849204,0.00058797986],"genre_scores_gemma":[0.9982618,0.000027688377,0.0016353084,0.000017766248,0.000004566558,0.0000085060865,0.00001787413,0.000013056497,0.000013395404],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990485,0.000011571018,0.0003322232,0.00013158316,0.00033418156,0.00014195843],"domain_scores_gemma":[0.9993111,0.00011031192,0.00014225117,0.00020629671,0.00017748597,0.000052579457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017286642,0.00012873282,0.00019988503,0.00072233443,0.000036036814,0.000016426127,0.00019853431,0.0000719941,0.000017400944],"category_scores_gemma":[0.00008843994,0.00009921367,0.00006643491,0.0014184586,0.000073646814,0.00058413984,0.00011868406,0.00010110365,0.0000019641025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014269195,0.000044315195,0.0003495897,0.000030787818,0.00003233161,8.089239e-7,0.00019883833,0.97528493,0.020948468,0.0019767545,0.000032795342,0.00095768884],"study_design_scores_gemma":[0.00014243304,0.00026268442,0.005777795,0.00006307865,0.000027005164,0.0000014834284,0.000077134784,0.9646918,0.025500376,0.0033381912,0.000017578626,0.000100407095],"about_ca_topic_score_codex":0.000010346639,"about_ca_topic_score_gemma":0.0000043301948,"teacher_disagreement_score":0.108842455,"about_ca_system_score_codex":0.000034152876,"about_ca_system_score_gemma":0.00001821343,"threshold_uncertainty_score":0.4045816},"labels":[],"label_agreement":null},{"id":"W1575894195","doi":"10.1109/acc.1994.752407","title":"The differential geometric modelling of compressor blades","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Gas compressor; Automation; Position (finance); Differential (mechanical device); Parametric surface; Surface (topology); Parametric statistics; Computer science; Differential geometry; Mechanical engineering; Parametric model; Stability (learning theory); Geometric modeling; Air compressor; Control engineering; Control theory (sociology); Engineering; Geometry; Mathematics; Control (management); Artificial intelligence; Aerospace engineering","score_opus":0.015902737554843446,"score_gpt":0.2230155219366619,"score_spread":0.20711278438181846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1575894195","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043229133,0.000554824,0.9533019,0.00003841255,0.000014907569,0.000038856328,8.639493e-7,0.0002684058,0.0025526667],"genre_scores_gemma":[0.9733443,0.00041246685,0.025972664,0.0000057692505,0.00003907063,0.00000566647,8.266602e-7,0.000010718196,0.00020850955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995353,0.0000054995494,0.00016833312,0.000060318125,0.00010817755,0.00012234887],"domain_scores_gemma":[0.99970025,0.00009142184,0.000019002888,0.00014406192,0.00002130314,0.00002398523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000027618355,0.000067291636,0.00011453787,0.000074639844,0.000034907138,0.000010293113,0.0001419592,0.000023593957,0.000057757174],"category_scores_gemma":[0.000006506842,0.000041874468,0.000058597965,0.00028814646,0.00002982335,0.000056648973,0.000023094159,0.00007070098,0.000008191704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021132598,0.000014067241,0.000027857113,0.000008329831,0.00003534555,7.511231e-8,0.000011141248,0.94856405,0.003211,0.00068574917,0.00028266743,0.04715759],"study_design_scores_gemma":[0.000037788508,0.0000060361613,0.000035566758,0.0000024825638,0.0000104112505,1.9578039e-7,0.000005812678,0.90310043,0.090721786,0.00052911486,0.00549209,0.000058292073],"about_ca_topic_score_codex":0.0000064975397,"about_ca_topic_score_gemma":0.0000031504685,"teacher_disagreement_score":0.93011516,"about_ca_system_score_codex":0.000015580346,"about_ca_system_score_gemma":8.301131e-7,"threshold_uncertainty_score":0.17075913},"labels":[],"label_agreement":null},{"id":"W1581563679","doi":"10.1007/978-3-319-01851-5_11","title":"Trajectory Planning: Continuous-Path Operations","year":2013,"lang":"en","type":"book-chapter","venue":"Mechanical engineering series","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Trajectory; Path (computing); Twist; Motion planning; Computer science; Control theory (sociology); Mathematics; Artificial intelligence; Geometry; Control (management); Physics; Robot","score_opus":0.008961614084109129,"score_gpt":0.20383534222131344,"score_spread":0.19487372813720433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1581563679","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00019778065,0.0034138635,0.808566,0.00015953855,0.0011782658,0.0009515155,0.00011894922,0.010810679,0.1746034],"genre_scores_gemma":[0.054786045,0.0020148163,0.28278086,0.0002449632,0.0019050743,0.000830661,0.0005295318,0.0019456737,0.65496236],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982969,0.0000057981742,0.0005683706,0.00041511605,0.0002843427,0.00042946136],"domain_scores_gemma":[0.9991013,0.000059327962,0.000042545664,0.0005140282,0.000077327706,0.00020548025],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006947823,0.0006787613,0.0008499311,0.0002054649,0.000064121334,0.00008169937,0.0003427808,0.0005303491,0.001027322],"category_scores_gemma":[0.000051270035,0.0006928309,0.00026267898,0.000075298376,0.0000441856,0.00028950823,0.00008321821,0.00085581467,0.0002665083],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012613652,0.000027794264,4.3524497e-7,0.0004304413,0.0007331694,0.00011907972,0.000121703284,0.53508186,0.03123009,0.4174408,0.009345299,0.0054566874],"study_design_scores_gemma":[0.00027373154,0.00030578324,0.000005145055,0.0007841132,0.0002936103,0.00006980376,0.000019626877,0.18105213,0.020033982,0.01280961,0.7816016,0.002750842],"about_ca_topic_score_codex":0.0000037821824,"about_ca_topic_score_gemma":0.000001817908,"teacher_disagreement_score":0.7722563,"about_ca_system_score_codex":0.00015189161,"about_ca_system_score_gemma":0.000016331931,"threshold_uncertainty_score":0.99988586},"labels":[],"label_agreement":null},{"id":"W1586963669","doi":"10.1007/978-3-540-76725-1_28","title":"Smooth Image Surface Approximation by Piecewise Cubic Polynomials","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Piecewise; Subdivision surface; Triangulation; Surface (topology); Computer science; Computer graphics; Algorithm; Data point; Image (mathematics); Artificial intelligence; Mathematics; Geometry; Computer graphics (images); Mathematical analysis; Polygon mesh","score_opus":0.010880713112987791,"score_gpt":0.2483717229047413,"score_spread":0.2374910097917535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1586963669","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016580537,0.000890891,0.9929215,0.000090207344,0.00026778178,0.0002713846,0.000013244119,0.0005801358,0.0047990833],"genre_scores_gemma":[0.08010051,0.00019541482,0.91840833,0.0005131062,0.00028049632,0.0000066756897,0.000036000638,0.0001163933,0.00034304822],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977292,0.000010792636,0.00048413366,0.0007036675,0.00055841316,0.0005137874],"domain_scores_gemma":[0.9987819,0.00021293698,0.00013524569,0.00061167823,0.000096025615,0.00016221253],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043503847,0.00046650093,0.0005321599,0.00040586453,0.00008536589,0.0001318474,0.0008128895,0.00029684362,0.0000480939],"category_scores_gemma":[0.000061890685,0.00044771115,0.00011443399,0.00049615465,0.00044029264,0.00035430843,0.00018705332,0.0006500798,0.000041141437],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005703376,0.000021252961,0.000011581954,0.00008322547,0.000019839084,0.00002355887,0.00013768798,0.19558975,0.03457444,0.00038522738,0.000547279,0.76860046],"study_design_scores_gemma":[0.000192439,0.00008268801,0.000012392664,0.00026854646,0.000030330673,0.000013239485,1.6107332e-7,0.7933577,0.122996755,0.07082421,0.01093298,0.0012885615],"about_ca_topic_score_codex":0.000014470191,"about_ca_topic_score_gemma":0.000013349928,"teacher_disagreement_score":0.7673119,"about_ca_system_score_codex":0.00042726027,"about_ca_system_score_gemma":0.000051721385,"threshold_uncertainty_score":0.99979746},"labels":[],"label_agreement":null},{"id":"W1588849791","doi":"10.1007/11751540_11","title":"Fast Intersections for Subdivision Surfaces","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Subdivision; Computer science; Convex hull; Polygon mesh; Intersection (aeronautics); Subdivision surface; Property (philosophy); Hull; Bipartite graph; Graph; Algorithm; Regular polygon; Theoretical computer science; Computer graphics (images); Mathematics; Geometry; Cartography","score_opus":0.009627191011221174,"score_gpt":0.242175293476117,"score_spread":0.23254810246489582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1588849791","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013086817,0.00023711509,0.99613285,0.000042198106,0.00046841553,0.00023339374,0.000013556372,0.00043386224,0.0023077393],"genre_scores_gemma":[0.5240671,0.00006172059,0.47457826,0.00014460429,0.00040978883,0.000027373486,0.00003003142,0.00008895579,0.0005921846],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986435,0.0000038218077,0.0002865985,0.0004982097,0.00025828744,0.00030953562],"domain_scores_gemma":[0.99923575,0.00020530041,0.00006202084,0.00035281343,0.0000909199,0.00005320861],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001401462,0.00029578258,0.00033406724,0.00043941205,0.000098979566,0.00008175793,0.00050760753,0.00017141792,0.000013870744],"category_scores_gemma":[0.000022964416,0.0002712672,0.00012602178,0.00027927035,0.00025291828,0.00016368424,0.00012837062,0.00035390301,0.0000080419295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016746127,0.000006259607,0.000016009992,0.000030686446,0.0000083794075,0.000002967038,0.00004013753,0.7464584,0.00056627137,0.00032609768,0.00015688037,0.25238618],"study_design_scores_gemma":[0.0000683747,0.00007257021,0.000035253393,0.00015937726,0.000013018807,0.0000053292856,8.619612e-8,0.92835575,0.0061098337,0.05958474,0.005182041,0.0004136195],"about_ca_topic_score_codex":0.000015903846,"about_ca_topic_score_gemma":0.00012305229,"teacher_disagreement_score":0.5239362,"about_ca_system_score_codex":0.00023539936,"about_ca_system_score_gemma":0.000022353624,"threshold_uncertainty_score":0.99997395},"labels":[],"label_agreement":null},{"id":"W1589312926","doi":"10.1002/9780470391341.ch19","title":"Interpolation and Smoothing","year":2008,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Actua; University of Waterloo","funders":"","keywords":"Smoothing; Interpolation (computer graphics); Computer science; Mathematics; Computer graphics (images); Statistics","score_opus":0.007844804857008782,"score_gpt":0.22083695519800178,"score_spread":0.212992150340993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1589312926","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001880494,0.005567816,0.9165836,0.000027470633,0.00015307796,0.0004990231,0.00045560146,0.0009212229,0.07560414],"genre_scores_gemma":[0.0038348266,0.024109768,0.96059144,0.00002420226,0.00006219736,0.000050707313,0.00010783777,0.00024290408,0.010976102],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993723,0.00002397134,0.00021181836,0.0001957241,0.00007225658,0.00012394847],"domain_scores_gemma":[0.99970686,0.00005481944,0.000041756535,0.00014723002,0.0000111709105,0.000038148533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053688014,0.0001732167,0.0002833359,0.00009334138,0.00002270718,0.000016175472,0.000048366932,0.00014979065,0.00007763811],"category_scores_gemma":[0.00009294465,0.00017642004,0.000011487394,0.00008818504,0.00022619104,0.00007070594,0.000041945626,0.00020696224,0.0000011923534],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010120768,0.00018101849,0.017486718,0.008000595,0.00033737556,0.00012488593,0.0045561707,0.0011187633,0.0001660486,0.1009376,0.3089173,0.55807227],"study_design_scores_gemma":[0.000396672,0.00021314906,0.0014061477,0.00152265,0.00008285899,0.000051002186,0.00016529456,0.05784162,0.00006028715,0.35083473,0.5859334,0.0014922217],"about_ca_topic_score_codex":0.00006570885,"about_ca_topic_score_gemma":0.0005481894,"teacher_disagreement_score":0.55658007,"about_ca_system_score_codex":0.000035275974,"about_ca_system_score_gemma":0.0000059306744,"threshold_uncertainty_score":0.7194201},"labels":[],"label_agreement":null},{"id":"W1597326539","doi":"10.1109/icassp.1986.1169038","title":"Design of 3-D IIR filters via transformations of 2-D circularly symmetric rotated filters","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Infinite impulse response; Prototype filter; 2D Filters; Network synthesis filters; Band-pass filter; Cepstrum; Mathematics; Computer science; Control theory (sociology); Filter design; Algorithm; Topology (electrical circuits); Digital filter; Filter (signal processing); Electronic engineering; Engineering; Artificial intelligence; Combinatorics; Computer vision","score_opus":0.010408009751799884,"score_gpt":0.2170159985491329,"score_spread":0.206607988797333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1597326539","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062883566,0.00008763957,0.9916478,0.00004971718,0.000010088526,0.00017888843,0.0000067061587,0.00031657226,0.0014142473],"genre_scores_gemma":[0.8596239,0.000048585134,0.14023024,0.000023651146,0.000003876929,0.000019464593,0.000008047109,0.000016311422,0.000025892532],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991536,0.000019935173,0.0004182883,0.00008822522,0.00016477208,0.00015517724],"domain_scores_gemma":[0.999566,0.0000834215,0.000051228653,0.00018952122,0.00006019972,0.00004962601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000080466816,0.00012203132,0.00026823475,0.0003614412,0.000015868016,0.000004271753,0.00014847741,0.000050256476,0.00014851526],"category_scores_gemma":[0.000017616787,0.00010960912,0.000112299895,0.0010182231,0.00003515258,0.00027853294,0.0000067048622,0.00007922809,0.000011402035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067989145,0.0000890928,0.00008372942,0.00006782774,0.00021659126,6.7261936e-7,0.0002452402,0.6423852,0.30309397,0.00019120601,0.00034913153,0.05327055],"study_design_scores_gemma":[0.00021262711,0.000061008242,0.00029966387,0.000014824397,0.00005681382,0.0000017192601,0.00002218508,0.5945079,0.40409607,0.0003665804,0.00018909352,0.00017156835],"about_ca_topic_score_codex":0.000019655356,"about_ca_topic_score_gemma":0.000002448668,"teacher_disagreement_score":0.85333556,"about_ca_system_score_codex":0.00004710445,"about_ca_system_score_gemma":0.000005377871,"threshold_uncertainty_score":0.44697306},"labels":[],"label_agreement":null},{"id":"W1598798740","doi":"10.5220/0001790400820089","title":"TESSELLATING ALGEBRAIC CURVES AND SURFACES USING A-PATCHES","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Subdivision; Bézier curve; Mathematics; Surface (topology); Algebraic surface; Basis (linear algebra); Scalar (mathematics); Algebraic curve; Algebraic number; Subdivision surface; Basis function; Tessellation (computer graphics); Monomial; Algorithm; Geometry; Mathematical analysis; Combinatorics; Discrete mathematics; Polygon mesh","score_opus":0.010587620128026717,"score_gpt":0.2406661161625117,"score_spread":0.230078496034485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1598798740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86595273,0.004976028,0.12286318,0.000165792,0.000013251316,0.0000773999,7.0431196e-7,0.0012815952,0.004669291],"genre_scores_gemma":[0.9309291,0.0005348231,0.06833932,0.00013990847,0.000013825315,6.0031715e-7,9.53804e-7,0.000009600522,0.0000318694],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956626,0.0000064259184,0.00012519103,0.00010338609,0.00006688417,0.00013184594],"domain_scores_gemma":[0.99981016,0.00003776075,0.000015132508,0.000085082735,0.000012984594,0.0000388656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004780928,0.00009522819,0.000142701,0.0000360126,0.000033274406,0.000015778516,0.000045757635,0.000026813696,0.000019521656],"category_scores_gemma":[0.000018899356,0.00008222305,0.000022324564,0.00017591419,0.000017161407,0.00014901363,0.000010561939,0.00006195974,0.0000016581429],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000037572868,0.0000506993,0.018596983,0.00036088243,0.00011272873,0.000012818833,0.00026553648,0.07997096,0.7013066,0.0013217957,0.0016783321,0.19631892],"study_design_scores_gemma":[0.00011306128,0.00005794478,0.006367604,0.00026259746,0.000057628127,0.0000136362305,0.00009836431,0.75169224,0.2258925,0.014034567,0.0007901935,0.0006196733],"about_ca_topic_score_codex":0.000012047038,"about_ca_topic_score_gemma":0.0000021325684,"teacher_disagreement_score":0.6717213,"about_ca_system_score_codex":0.0000134700695,"about_ca_system_score_gemma":0.0000015468759,"threshold_uncertainty_score":0.33529586},"labels":[],"label_agreement":null},{"id":"W1602459978","doi":"10.1016/j.cad.2012.10.023","title":"Linear methods for <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si20.gif\" display=\"inline\" overflow=\"scroll\"><mml:msup><mml:mrow><mml:mi>G</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msup></mml:math>, <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si21.gif\" display=\"inline\" overflow=\"scroll\"><mml:msup><mml:mrow><mml:mi>G</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:math>, and <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si22.gif\" display=\"inline\" overflow=\"scroll\"><mml:msup><mml:mrow><mml:mi>G</mml:mi></mml:mrow><mml:mrow><mml:mn>3</mml:mn></mml:mrow></mml:msup></mml:math>—Multi-degree reduction of Bézier curves","year":2012,"lang":"lv","type":"article","venue":"Computer-Aided Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reduction (mathematics); Degree (music); Algorithm; Computer science; Linear equation; Scroll; Applied mathematics; Stability (learning theory); Mathematics; Geometry; Machine learning; Physics","score_opus":0.02868845736425522,"score_gpt":0.27375956328989876,"score_spread":0.24507110592564355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1602459978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5772023,0.0103615215,0.039221037,0.002188615,0.013019213,0.000459785,0.003503392,0.0025491808,0.35149494],"genre_scores_gemma":[0.90222275,0.009107751,0.052486423,0.003682352,0.009762755,0.007628509,0.008865501,0.0051564137,0.0010875656],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9600806,0.0027349934,0.009213433,0.008128127,0.009244937,0.01059788],"domain_scores_gemma":[0.9646105,0.0088617625,0.00962635,0.010170985,0.0011873314,0.005543076],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.008784277,0.005150056,0.002254501,0.00297659,0.0060488936,0.005560411,0.009451112,0.010777754,0.3346302],"category_scores_gemma":[0.008318436,0.009597742,0.009393195,0.005786347,0.0072901826,0.008325795,0.009309557,0.008216452,0.0057280078],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0069176443,0.001953849,0.000030301348,0.006329686,0.008471764,0.0043295794,0.0039789486,0.013762022,0.008614953,0.6348114,0.3033673,0.007432532],"study_design_scores_gemma":[0.0052375714,0.004518958,0.000121114215,0.0038218047,0.0058126976,0.0053576264,0.0022843631,0.4158773,0.54132444,0.00014689835,0.010315822,0.005181408],"about_ca_topic_score_codex":0.0047283852,"about_ca_topic_score_gemma":0.0022909115,"teacher_disagreement_score":0.63466454,"about_ca_system_score_codex":0.00015006837,"about_ca_system_score_gemma":0.005931685,"threshold_uncertainty_score":0.99970376},"labels":[],"label_agreement":null},{"id":"W1645461841","doi":"10.1023/a:1016652822276","title":"Birkhoff interpolation on non-uniformly distributed roots of unity","year":2000,"lang":"en","type":"article","venue":"Numerical Algorithms","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Maple; Interpolation (computer graphics); Theory of computation; Linear interpolation; Combinatorics; Pure mathematics; Discrete mathematics; Applied mathematics; Mathematical analysis; Algorithm; Computer science; Motion (physics)","score_opus":0.00658792249143084,"score_gpt":0.23754368707295415,"score_spread":0.2309557645815233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1645461841","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058259413,0.0000364304,0.9346524,0.000089700785,0.000074528936,0.00017327361,0.00008383219,0.00077672815,0.005853703],"genre_scores_gemma":[0.9726951,0.0000449342,0.026896767,0.00005817914,0.000063314794,0.000019760775,0.00009316027,0.000035566703,0.00009320138],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988535,0.000025809719,0.00038374375,0.00020595656,0.00025810627,0.00027288785],"domain_scores_gemma":[0.99939835,0.000073477866,0.000050950923,0.00029823981,0.00005233995,0.00012666738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006680041,0.00021219683,0.0003617715,0.00009742391,0.00004314646,0.000011992978,0.00021097802,0.000104104816,0.0006249192],"category_scores_gemma":[0.000029371939,0.00018776931,0.00013169827,0.0007979103,0.00006038292,0.00014797715,0.000020989712,0.0002787944,0.00013172366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007609692,0.00033079612,0.00052022503,0.000045590114,0.00012590729,0.00001158208,0.00007272346,0.05476648,0.005424648,0.00017275718,0.0015078261,0.9369454],"study_design_scores_gemma":[0.00030224922,0.00032608872,0.009280138,0.000050577877,0.00003394262,0.0000041803264,0.00001872656,0.9539709,0.01968524,0.0015897747,0.01434632,0.00039185683],"about_ca_topic_score_codex":0.000056864177,"about_ca_topic_score_gemma":0.0000013206827,"teacher_disagreement_score":0.93655354,"about_ca_system_score_codex":0.00008924932,"about_ca_system_score_gemma":0.0000074034133,"threshold_uncertainty_score":0.765701},"labels":[],"label_agreement":null},{"id":"W1658339150","doi":"10.1016/s1076-5670(04)35001-9","title":"Optics, Mechanics, and Hamilton–Jacobi Skeletons","year":2005,"lang":"en","type":"book-chapter","venue":"Advances in imaging and electron physics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Hamilton–Jacobi equation; Classical mechanics; Geometrical optics; Optics; Computer science; Physics","score_opus":0.003401239232913503,"score_gpt":0.23162735885115573,"score_spread":0.22822611961824224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1658339150","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013939157,0.19690755,0.5649131,0.00021982368,0.00028348214,0.0005401834,0.00007615016,0.0016193694,0.23530097],"genre_scores_gemma":[0.10040465,0.7822285,0.079807445,0.00057855644,0.0016597871,0.0000968065,0.00020354957,0.000748817,0.03427185],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99871796,0.0000064356964,0.00029792628,0.00041530028,0.00015018435,0.000412213],"domain_scores_gemma":[0.99947864,0.000064593485,0.0000805603,0.00026207222,0.000033747747,0.0000803656],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000056283727,0.00043705857,0.000510788,0.000121418365,0.000058339432,0.000033480803,0.00013473653,0.00010041017,0.000005638875],"category_scores_gemma":[0.000006193579,0.00047389462,0.00007200346,0.00007188457,0.00008471598,0.00040731695,0.000051670868,0.00066399,0.0000052599144],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008973834,0.000021461745,0.000023788707,0.00019505371,0.0000875935,0.00001587648,0.00010110928,0.008588825,0.00085308927,0.3144507,0.000325423,0.6753281],"study_design_scores_gemma":[0.00022085765,0.000049362236,0.0000024528724,0.00024253123,0.000101183185,0.00001548815,0.000010875402,0.044441454,0.0021292297,0.62327105,0.32857633,0.0009391738],"about_ca_topic_score_codex":0.000003444548,"about_ca_topic_score_gemma":0.000026454007,"teacher_disagreement_score":0.67438895,"about_ca_system_score_codex":0.00013755672,"about_ca_system_score_gemma":0.000009846283,"threshold_uncertainty_score":0.9997713},"labels":[],"label_agreement":null},{"id":"W166124905","doi":"","title":"Hyperbolic Modified Pell Functions.","year":2007,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Pure mathematics","score_opus":0.008612894878175,"score_gpt":0.23052262421363517,"score_spread":0.2219097293354602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W166124905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85489726,0.00046436852,0.0792857,0.00004847863,0.0012271206,0.00016048287,0.0000022118138,0.0025121886,0.061402205],"genre_scores_gemma":[0.99797124,0.000033863733,0.0014706975,0.0000469141,0.000014187267,0.000009133862,0.000006170651,0.0000341153,0.00041370583],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99922687,0.000007959618,0.00020242721,0.00014626313,0.00014289915,0.00027359207],"domain_scores_gemma":[0.9995129,0.00005820272,0.000021293074,0.00027078707,0.000038807215,0.00009797877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001305512,0.0001332508,0.0001683785,0.00010818819,0.000050134055,0.000012758458,0.00013826185,0.00007512117,0.00004369195],"category_scores_gemma":[0.000025097997,0.00013597946,0.000072408984,0.00043773005,0.000029839137,0.00011098646,0.000025654143,0.00017701666,0.00019417264],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068779125,0.0005174549,0.005696741,0.00011059306,0.00042162897,0.000105801926,0.00037966453,0.017401801,0.08090028,0.7156095,0.037494566,0.14129318],"study_design_scores_gemma":[0.0012215984,0.00016887444,0.008982834,0.000031833213,0.0001174934,0.00002058064,0.00012839973,0.024432424,0.109971315,0.7448707,0.108801395,0.0012525338],"about_ca_topic_score_codex":0.000010681581,"about_ca_topic_score_gemma":0.0000032287999,"teacher_disagreement_score":0.14307398,"about_ca_system_score_codex":0.00009408226,"about_ca_system_score_gemma":0.000004137942,"threshold_uncertainty_score":0.5545081},"labels":[],"label_agreement":null},{"id":"W167307853","doi":"10.1007/978-3-642-31401-8_44","title":"A Feasibility Study of Levels-of-Detail in Point-Based Haptic Rendering","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Rendering (computer graphics); Finite element method; Computer graphics (images); Computation; Representation (politics); Haptic technology; Computer vision; Computational science; Artificial intelligence; Algorithm","score_opus":0.03716966931053727,"score_gpt":0.2772039070924904,"score_spread":0.2400342377819531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W167307853","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015776156,0.00036183442,0.9829715,0.000012112268,0.00011898551,0.00038390746,0.000004288763,0.00012447595,0.00024675395],"genre_scores_gemma":[0.8874325,0.000005368049,0.11247145,0.000019367839,0.00003109964,0.0000065600952,7.2313156e-7,0.000028225948,0.0000046977157],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979459,0.000024502648,0.00066326134,0.0005198815,0.00050296984,0.0003434689],"domain_scores_gemma":[0.99863243,0.00026665904,0.00017357554,0.00076598255,0.00009213111,0.00006920676],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000553853,0.00032915425,0.00071594806,0.00070491375,0.000024296132,0.000015404588,0.00070106774,0.00015386395,0.000024461602],"category_scores_gemma":[0.00008587684,0.00030831917,0.00009892098,0.0005923882,0.00029892786,0.0001750861,0.00021273429,0.00054266205,0.0000014997228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014011781,0.00021443401,0.0041955155,0.00024245489,0.00002584707,0.000016144055,0.0008461686,0.7020473,0.00391458,0.00010412505,4.8562123e-7,0.28837895],"study_design_scores_gemma":[0.0007322133,0.00048728375,0.008468643,0.00083886884,0.00005639782,0.00000558742,0.0000030351061,0.93646455,0.02272268,0.029226713,0.00002327585,0.0009707776],"about_ca_topic_score_codex":0.000036139074,"about_ca_topic_score_gemma":0.00025729588,"teacher_disagreement_score":0.87165636,"about_ca_system_score_codex":0.00030034513,"about_ca_system_score_gemma":0.000056292596,"threshold_uncertainty_score":0.9999369},"labels":[],"label_agreement":null},{"id":"W1717630816","doi":"10.1090/s0002-9939-00-05567-2","title":"Convergence of cascade algorithms associated with nonhomogeneous refinement equations","year":2000,"lang":"lv","type":"article","venue":"Proceedings of the American Mathematical Society","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Education - Singapore; National University of Singapore","keywords":"Cascade; Convergence (economics); Algorithm; Computer science; Applied mathematics; Mathematics; Mathematical optimization; Engineering","score_opus":0.010206735442980406,"score_gpt":0.2395773284951148,"score_spread":0.2293705930521344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1717630816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94937307,0.00027623906,0.040353723,0.0010266978,0.000030545132,0.0009585173,0.00011807992,0.00037350453,0.0074896067],"genre_scores_gemma":[0.9025676,0.00038516242,0.095652714,0.00012662192,0.000037320006,0.00006646798,0.0000030827446,0.000077031444,0.0010839754],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997361,0.00001615403,0.00091089576,0.00036622063,0.00084381836,0.00050190074],"domain_scores_gemma":[0.9980212,0.0003261912,0.0008616404,0.00028413412,0.00036544556,0.00014142731],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036415487,0.0003913239,0.0010535046,0.000034202014,0.00013450348,0.00002303622,0.0007149911,0.00010563151,0.00048273505],"category_scores_gemma":[0.000327816,0.00027200877,0.0006058432,0.0017540386,0.0012929795,0.00012734487,0.00013801722,0.00039051595,0.000015662401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007809258,0.015594346,0.017161071,0.013637203,0.030544296,0.000013974372,0.05057916,0.042673618,0.41559905,0.07856319,0.017371893,0.31748128],"study_design_scores_gemma":[0.0012684633,0.0017172924,0.0032767921,0.0029773184,0.00328564,0.000031192445,0.003937379,0.75226194,0.17656764,0.051708516,0.0009429354,0.0020249095],"about_ca_topic_score_codex":0.000060005124,"about_ca_topic_score_gemma":0.0000015037521,"teacher_disagreement_score":0.7095883,"about_ca_system_score_codex":0.00023695352,"about_ca_system_score_gemma":0.00003683485,"threshold_uncertainty_score":0.99997324},"labels":[],"label_agreement":null},{"id":"W1791330396","doi":"10.1007/3-540-44990-6_13","title":"Numerical Implicitization of Parametric Hypersurfaces with Linear Algebra","year":2001,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Parametric statistics; Parametric surface; Trigonometry; Mathematics; Parametric equation; Algebra over a field; Polynomial; Applied mathematics; Pure mathematics; Mathematical analysis; Geometry","score_opus":0.009121096537179397,"score_gpt":0.2321073893731929,"score_spread":0.22298629283601348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1791330396","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00083212456,0.00036324604,0.9961223,0.000031193216,0.000079522404,0.00015838201,0.0000028646805,0.00024931473,0.0021610742],"genre_scores_gemma":[0.63768435,0.0001689553,0.36188534,0.00008384016,0.00008872233,0.0000044511394,0.0000067042884,0.000047757407,0.000029866225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983855,0.0000072673824,0.00034243372,0.0004771426,0.0004900424,0.0002976044],"domain_scores_gemma":[0.99904746,0.00020835784,0.00012041695,0.00041770533,0.00012899264,0.0000770483],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011383384,0.00031709255,0.0004999413,0.00063987816,0.000041589512,0.00002939351,0.0005239854,0.00017594249,0.0000255817],"category_scores_gemma":[0.00003933347,0.0002568963,0.00006973049,0.0013700341,0.00034038993,0.00015045873,0.00007865399,0.00040329667,0.000006454634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003876129,0.000008759571,0.00014800367,0.00002875741,0.000014783561,0.000010166188,0.00003164602,0.81805944,0.00021130523,0.00026411528,0.000002569033,0.18121657],"study_design_scores_gemma":[0.0001192119,0.00022408216,0.00010740532,0.00021294314,0.000027339674,0.000029383908,1.3100968e-7,0.9630955,0.013459507,0.021437403,0.00074550795,0.0005416266],"about_ca_topic_score_codex":0.0000139133645,"about_ca_topic_score_gemma":0.000006041797,"teacher_disagreement_score":0.63685226,"about_ca_system_score_codex":0.00014271158,"about_ca_system_score_gemma":0.000042149077,"threshold_uncertainty_score":0.9999883},"labels":[],"label_agreement":null},{"id":"W180366391","doi":"","title":"Прямые методы профилирования оптимальных пространственных аэродинамических форм","year":2011,"lang":"ru","type":"article","venue":"Vestnik of Lobachevsky State University of Nizhni Novgorod Series Social Sciences","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nozzle; Aerodynamics; Supersonic speed; Ramjet; Mathematics; Optimal design; Computer science; Rotational symmetry; Aerospace engineering; Geometry; Mechanical engineering; Engineering; Combustor","score_opus":0.03825961372949806,"score_gpt":0.2306637942002957,"score_spread":0.19240418047079766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W180366391","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83312386,0.0019215234,0.031831242,0.0013389268,0.0009879477,0.0011279712,0.00083651044,0.0011839774,0.12764804],"genre_scores_gemma":[0.9575221,0.0018383616,0.0383182,0.000046120073,0.00010626397,0.0000011167748,0.000017293725,0.000058353453,0.0020921945],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9955305,0.00023230884,0.0009626951,0.000934519,0.0011714078,0.0011686083],"domain_scores_gemma":[0.99745643,0.00014175347,0.0010387786,0.0005438906,0.000509766,0.00030935678],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008087768,0.00070893776,0.0014554799,0.0005822801,0.0009723221,0.000052140793,0.0021014272,0.0003950583,0.001046637],"category_scores_gemma":[0.00012567369,0.00082524517,0.0006044875,0.0031106193,0.006407992,0.001982879,0.00067630614,0.00052469043,0.00005257147],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0056325854,0.007544759,0.103356585,0.006371362,0.007573608,0.0012184326,0.35663995,0.0106613245,0.09421822,0.13087046,0.035867743,0.24004497],"study_design_scores_gemma":[0.008038939,0.016233187,0.24896021,0.0022468078,0.0048308037,0.00013924693,0.23471281,0.006107446,0.2270213,0.10835092,0.12912093,0.014237387],"about_ca_topic_score_codex":0.0053676087,"about_ca_topic_score_gemma":0.0012823085,"teacher_disagreement_score":0.22580758,"about_ca_system_score_codex":0.00033897941,"about_ca_system_score_gemma":0.00039767622,"threshold_uncertainty_score":0.99986655},"labels":[],"label_agreement":null},{"id":"W1814820559","doi":"10.1007/978-3-319-05789-7_13","title":"Generating Equidistributed Meshes in 2D via Domain Decomposition","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in computational science and engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Equidistributed sequence; Polygon mesh; Decomposition; Domain (mathematical analysis); Computer science; Mathematics; Computer graphics (images); Combinatorics; Chemistry; Mathematical analysis","score_opus":0.005706388967826693,"score_gpt":0.23286349283733931,"score_spread":0.22715710386951263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1814820559","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0048182607,0.00042857043,0.99374074,0.00006793085,0.00007127237,0.00010822559,0.000005313435,0.0001876167,0.0005720794],"genre_scores_gemma":[0.8567528,0.000031448115,0.14295222,0.00006224741,0.000093277784,0.000012013577,0.000054210897,0.000033134304,0.000008646877],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987063,0.0000050766726,0.0003298659,0.00032896298,0.00035148195,0.00027834557],"domain_scores_gemma":[0.9995021,0.00021928987,0.000042310912,0.0001012925,0.00006521416,0.00006974469],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028762576,0.00026227167,0.00030461678,0.00046250244,0.00006072314,0.000057277088,0.00016355436,0.00014616479,0.000009120971],"category_scores_gemma":[0.00007049307,0.00027385703,0.00003739311,0.00033287032,0.00008837611,0.00013077886,0.000057138204,0.00036612578,0.0000024309243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010388221,0.0000018148179,0.000016328357,0.000034305354,0.0000057782404,0.0000064241467,0.00003488853,0.96646726,0.007999827,0.0022700953,0.0000025145207,0.023159698],"study_design_scores_gemma":[0.0000796829,0.000015704256,0.00013591445,0.0001556119,0.0000050939284,0.000012222698,4.0274242e-7,0.9579674,0.000864719,0.04003944,0.00041785138,0.00030593955],"about_ca_topic_score_codex":0.000006898143,"about_ca_topic_score_gemma":0.000020733898,"teacher_disagreement_score":0.85193455,"about_ca_system_score_codex":0.00036239385,"about_ca_system_score_gemma":0.000024233705,"threshold_uncertainty_score":0.9999714},"labels":[],"label_agreement":null},{"id":"W1835442861","doi":"10.1090/s0025-5718-07-02013-3","title":"𝐶¹ spline wavelets on triangulations","year":2007,"lang":"en","type":"article","venue":"Mathematics of Computation","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Division of Mathematical Sciences; National University of Singapore; Vanderbilt University","keywords":"Mathematics; Wavelet; Spline (mechanical); Applied mathematics; Artificial intelligence; Computer science","score_opus":0.011901035537392399,"score_gpt":0.2798575348872014,"score_spread":0.267956499349809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1835442861","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11494063,0.000011625119,0.88100594,0.000018468438,0.000023186458,0.000085517524,0.0000013078966,0.00021929252,0.0036940286],"genre_scores_gemma":[0.7278045,0.0000019816644,0.2721279,0.0000074333648,0.000017548722,0.000001696053,0.000008678898,0.000011583663,0.00001867049],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941903,0.0000036482188,0.00029985988,0.00005477909,0.000139823,0.00008285543],"domain_scores_gemma":[0.9995855,0.00018074861,0.00006488518,0.000094968025,0.000049014707,0.000024893501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014750482,0.00007055518,0.00014446645,0.00012760366,0.000016314716,0.000004531378,0.000049290404,0.000031388674,0.000011076788],"category_scores_gemma":[0.000042735253,0.000067046756,0.00004483091,0.0002193365,0.000013812062,0.00004079129,0.0000066486355,0.000050005223,0.000015271775],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000118136395,0.0002771636,0.0000306894,0.00026136477,0.00008015757,0.00000364554,0.000761277,0.8258102,0.019870812,0.030704275,0.0005263747,0.12166222],"study_design_scores_gemma":[0.0001733592,0.00005032216,0.0006718352,0.000049388134,0.00002142451,0.0000015512042,0.000040358354,0.8590462,0.054132845,0.08553971,0.00015327371,0.000119698605],"about_ca_topic_score_codex":5.427866e-7,"about_ca_topic_score_gemma":9.798785e-7,"teacher_disagreement_score":0.6128639,"about_ca_system_score_codex":0.000028308057,"about_ca_system_score_gemma":0.0000017962366,"threshold_uncertainty_score":0.27340874},"labels":[],"label_agreement":null},{"id":"W1856315984","doi":"10.1007/978-3-7091-6270-5_13","title":"Cylindrical Surface Pasting","year":2001,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cylinder; Surface (topology); Feature (linguistics); Domain (mathematical analysis); Extension (predicate logic); Mathematics; Computer science; Materials science; Mathematical analysis; Geometry","score_opus":0.014467660660683983,"score_gpt":0.22672858341246752,"score_spread":0.21226092275178354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1856315984","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000007577007,0.0003106056,0.2097426,0.000023142473,0.000043972315,0.00006509654,0.000003242039,0.0017958293,0.7880079],"genre_scores_gemma":[0.0046680085,0.0009366865,0.05176596,0.00009017127,0.0002532822,0.000003837477,0.000031941297,0.00021528943,0.94203484],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990067,0.0000025021036,0.00030914118,0.00024834383,0.0001999396,0.00023341215],"domain_scores_gemma":[0.9994682,0.00006457524,0.00004202039,0.00029268567,0.000036095338,0.000096435935],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003761975,0.00032678898,0.00042385102,0.000069535956,0.000026690044,0.000015651836,0.00017189085,0.0002942204,0.0015935604],"category_scores_gemma":[0.000009697702,0.00030278685,0.00017570557,0.00004910247,0.000034593904,0.000052393527,0.000055176544,0.000482116,0.0004781889],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016893544,0.000048649435,0.00010504753,0.00031854858,0.001173066,0.0005919355,0.000055225846,0.1511845,0.0016574576,0.3319482,0.07930395,0.43359652],"study_design_scores_gemma":[0.000049496957,0.000019900372,0.0000022527622,0.00006904096,0.000065714434,0.000014101708,0.0000016165708,0.021081306,0.00040076693,0.025190223,0.9524739,0.0006316864],"about_ca_topic_score_codex":0.000004511784,"about_ca_topic_score_gemma":0.000005670934,"teacher_disagreement_score":0.87316996,"about_ca_system_score_codex":0.00010766867,"about_ca_system_score_gemma":0.000004566416,"threshold_uncertainty_score":0.9999424},"labels":[],"label_agreement":null},{"id":"W187054668","doi":"","title":"Using A-patches to Tessellate Algebraic Curves and Surfaces","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mathematics; Function (biology); Algebraic function; Scalar (mathematics); Algebraic number; Sign (mathematics); Polynomial; Algebraic curve; Pure mathematics; Mathematical analysis; Geometry","score_opus":0.0179215210546189,"score_gpt":0.27255457362488544,"score_spread":0.2546330525702665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W187054668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78208655,0.002569926,0.2099392,0.00053661043,0.000016652086,0.00012675497,0.00000125816,0.0012094233,0.0035136323],"genre_scores_gemma":[0.9196851,0.0004526425,0.07931249,0.00044177237,0.000011262408,0.0000011892729,6.973842e-7,0.000010355748,0.000084483814],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99956095,0.0000053610433,0.00011064766,0.00011602431,0.00006616854,0.00014086073],"domain_scores_gemma":[0.99978346,0.000021437232,0.000008668076,0.00010233809,0.000014267751,0.00006983741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000040432973,0.000098113705,0.00014776363,0.000049979124,0.00002321196,0.000015381807,0.000057257756,0.000024378734,0.000025548878],"category_scores_gemma":[0.000013643917,0.000083870655,0.000020753985,0.00023441818,0.000010954757,0.00010921918,0.000013710113,0.000047379,0.000006512314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007666711,0.000052092346,0.0036869217,0.00019547131,0.00009780243,0.000013817936,0.00025749882,0.10712492,0.7601792,0.0010352046,0.00557676,0.12177264],"study_design_scores_gemma":[0.00020869894,0.00021279688,0.014947865,0.00041800443,0.00010987921,0.000019726034,0.00010102874,0.30346513,0.64429945,0.025595011,0.009193679,0.0014287077],"about_ca_topic_score_codex":0.00001436763,"about_ca_topic_score_gemma":0.0000048091224,"teacher_disagreement_score":0.1963402,"about_ca_system_score_codex":0.0000149449515,"about_ca_system_score_gemma":0.0000014478599,"threshold_uncertainty_score":0.3420146},"labels":[],"label_agreement":null},{"id":"W1871296745","doi":"","title":"CORRECCIÓN AUTOMÁTICA DE HUECOS EN OBJETOS DE FORMA LIBRE EMPLEANDO FUNCIONES DE BASE RADIAL","year":2007,"lang":"es","type":"article","venue":"Redalyc (Universidad Autónoma del Estado de México)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science","score_opus":0.008853136724722521,"score_gpt":0.2400541589801372,"score_spread":0.2312010222554147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1871296745","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43199423,0.00068006763,0.56105614,0.0005374916,0.0001607334,0.00040906935,0.000069521455,0.0014787941,0.0036139486],"genre_scores_gemma":[0.8938111,0.0008819869,0.10292572,0.00041290987,0.00053044915,0.000023535606,0.00007216098,0.00024799182,0.0010941143],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9947091,0.0003282481,0.0008583954,0.000887128,0.0005880525,0.0026291308],"domain_scores_gemma":[0.9961518,0.0009678274,0.0003538471,0.001017623,0.00017192328,0.0013369906],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013260104,0.0009600439,0.0010853908,0.0011423719,0.0005213676,0.00023434023,0.0011376155,0.0010150564,0.00048147718],"category_scores_gemma":[0.0004313907,0.0011808793,0.00075470784,0.001759456,0.00027368357,0.0011705665,0.0003816431,0.0013997016,0.000115385505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030941314,0.0019030666,0.1282517,0.0022805515,0.0030981824,0.013475931,0.017153444,0.09595699,0.12931947,0.040612254,0.015770076,0.5490842],"study_design_scores_gemma":[0.0034930673,0.00073399016,0.07304985,0.00065318804,0.0014970454,0.0010631253,0.0043705744,0.82986474,0.03534444,0.004202264,0.042892735,0.0028349964],"about_ca_topic_score_codex":0.0006179475,"about_ca_topic_score_gemma":0.00012473544,"teacher_disagreement_score":0.73390776,"about_ca_system_score_codex":0.0043761795,"about_ca_system_score_gemma":0.00075742305,"threshold_uncertainty_score":0.99944586},"labels":[],"label_agreement":null},{"id":"W1889267135","doi":"10.5802/aif.2832","title":"Rational approximation to real points on conics","year":2013,"lang":"lv","type":"preprint","venue":"Annales de l’institut Fourier","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Conic section; Mathematics; Exponent; Parabola; Golden ratio; Combinatorics; Connection (principal bundle); Degree (music); Mathematical analysis; Upper and lower bounds; Diophantine approximation; Geometry; Physics; Diophantine equation","score_opus":0.021109665894136383,"score_gpt":0.2768809411457201,"score_spread":0.2557712752515837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1889267135","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10758746,0.000295307,0.82143867,0.0066148504,0.0009446841,0.0022904933,0.00022359948,0.0013636868,0.059241258],"genre_scores_gemma":[0.53850245,0.003015199,0.446131,0.0031394912,0.0016092063,0.0013553565,0.0012018799,0.0002802445,0.0047651934],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.996426,0.00011817928,0.00094066176,0.0009452416,0.000769985,0.00079997326],"domain_scores_gemma":[0.9975678,0.00016480638,0.0002812836,0.0010971664,0.0003802497,0.00050871214],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040062467,0.0008005492,0.0008519761,0.00044941506,0.00023218937,0.00023030106,0.00069261,0.0006758191,0.00059090095],"category_scores_gemma":[0.00037335954,0.00084614835,0.00041933297,0.00046112307,0.00016638266,0.0003992395,0.0003927841,0.0012142429,0.002637843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017838439,0.00045369935,0.0006193587,0.000627752,0.00092415774,0.00009592839,0.0014521327,0.7355199,0.0017439788,0.14896166,0.054364268,0.055058803],"study_design_scores_gemma":[0.0007335793,0.0003688183,0.0029839282,0.0012517828,0.00037721122,0.00003691732,0.000114765106,0.4696356,0.009455281,0.071259424,0.44106215,0.0027205485],"about_ca_topic_score_codex":0.0002341567,"about_ca_topic_score_gemma":0.00006222018,"teacher_disagreement_score":0.430915,"about_ca_system_score_codex":0.00080305623,"about_ca_system_score_gemma":0.00022134386,"threshold_uncertainty_score":0.99939895},"labels":[],"label_agreement":null},{"id":"W1929832589","doi":"10.1007/978-3-540-85521-7_11","title":"Transfinite Interpolation for Well-Definition in Error Analysis in Solid Modelling","year":2008,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subdivision; Transfinite number; Context (archaeology); Computer science; Representation (politics); Vertex (graph theory); Interpolation (computer graphics); Algorithm; Boundary (topology); Mathematics; Theoretical computer science; Graph; Discrete mathematics; Artificial intelligence; Mathematical analysis","score_opus":0.027047277463906907,"score_gpt":0.2613550573437748,"score_spread":0.2343077798798679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1929832589","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00060273573,0.0002267876,0.99784774,0.000044459925,0.00009461774,0.0002972213,0.000008823938,0.00014626386,0.0007313394],"genre_scores_gemma":[0.6379733,0.00023544751,0.36155424,0.00008075442,0.000055018703,0.000024926516,0.000034584282,0.000031483003,0.000010246895],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810094,0.000012055205,0.0006078761,0.0006237327,0.00028896393,0.00036646464],"domain_scores_gemma":[0.9992247,0.00025726124,0.00008731819,0.0003129864,0.00006763207,0.00005005869],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000255866,0.00033367448,0.0006244021,0.0023923414,0.000045914407,0.000040162628,0.0004028703,0.00025468026,0.000011361746],"category_scores_gemma":[0.000018937897,0.00034678535,0.00020227287,0.0013693968,0.0001496986,0.00026087655,0.00004334999,0.00053616473,0.0000033766298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007827796,0.000010316933,0.000057627367,0.000025537436,0.000019966568,0.000008455849,0.00039362453,0.9694855,0.00012032792,0.00011737546,9.961776e-7,0.029752405],"study_design_scores_gemma":[0.00013217994,0.000035319492,0.000033871915,0.00017790715,0.00003443302,0.0000021042508,2.350553e-7,0.96066153,0.0006185265,0.037868652,0.00009260442,0.00034261448],"about_ca_topic_score_codex":0.000030710133,"about_ca_topic_score_gemma":0.0005486296,"teacher_disagreement_score":0.6373706,"about_ca_system_score_codex":0.0003199812,"about_ca_system_score_gemma":0.000031374366,"threshold_uncertainty_score":0.99989843},"labels":[],"label_agreement":null},{"id":"W1940104921","doi":"10.1111/cgf.12287","title":"Detection and reconstruction of freeform sweeps","year":2014,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Planar; CAD; Surface (topology); Curvature; Kinematics; Task (project management); Space (punctuation); Computer vision; Artificial intelligence; Algorithm; Computer graphics (images); Engineering drawing; Geometry; Mathematics; Engineering","score_opus":0.004104695078367838,"score_gpt":0.18774401330089135,"score_spread":0.18363931822252352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1940104921","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.101194434,0.00004902849,0.8981157,0.000020386138,0.00013322102,0.000038251073,6.7383934e-7,0.0002520283,0.00019630714],"genre_scores_gemma":[0.9787813,0.00007162008,0.021062147,0.00002621837,0.000041294512,0.0000037919706,0.0000011244558,0.000010713413,0.0000018273619],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959433,0.000007929818,0.00014485778,0.00009403554,0.00005633847,0.00010251437],"domain_scores_gemma":[0.9997595,0.000022624436,0.00003192436,0.00012546287,0.000028627956,0.000031890842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005305048,0.00007496914,0.00012777599,0.00013527156,0.00003060738,0.000007193708,0.000052590793,0.000053326865,0.0000014078714],"category_scores_gemma":[0.0000040935865,0.00007181901,0.000046023302,0.00020255364,0.000052688367,0.000103876766,0.00002622551,0.00008834978,7.408049e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029620644,0.00000739768,0.0026697922,0.000047232777,0.000040664483,1.6044157e-7,0.000022259948,0.0008952826,0.0041621057,0.008875878,0.000078426376,0.9831978],"study_design_scores_gemma":[0.00011582421,0.000109721346,0.002819995,0.000023383243,0.000015371188,0.000013714954,0.000005770885,0.91865826,0.028864078,0.046055928,0.0031745571,0.00014342296],"about_ca_topic_score_codex":0.0000057066914,"about_ca_topic_score_gemma":0.000021912498,"teacher_disagreement_score":0.9830544,"about_ca_system_score_codex":0.000009112896,"about_ca_system_score_gemma":6.737726e-7,"threshold_uncertainty_score":0.29286942},"labels":[],"label_agreement":null},{"id":"W1963612676","doi":"10.1090/s0025-5718-2011-02442-7","title":"Geometric weakly admissible meshes, discrete least squares approximations and approximate Fekete points","year":2011,"lang":"en","type":"article","venue":"Mathematics of Computation","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Gruppo Nazionale per il Calcolo Scientifico; Università degli Studi di Padova; Istituto Nazionale di Alta Matematica \"Francesco Severi\"","keywords":"Mathematics; Polygon mesh; Interpolation (computer graphics); Factorization; Lagrange polynomial; Applied mathematics; Mathematical analysis; Algorithm; Geometry; Image (mathematics); Computer science","score_opus":0.022992891324720703,"score_gpt":0.2437091432089181,"score_spread":0.22071625188419738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963612676","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051586773,0.00017207995,0.94388026,0.000015334117,0.00001825132,0.0002069542,0.000007769538,0.00034710034,0.0037655008],"genre_scores_gemma":[0.6138173,0.000030433896,0.38607806,0.0000034094605,0.0000055964842,0.000016997243,0.000010755243,0.00002149633,0.0000159459],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908966,0.000016555638,0.00041317477,0.00013748316,0.00019073454,0.00015237812],"domain_scores_gemma":[0.9994496,0.00009157557,0.00014083543,0.00016923071,0.00007778651,0.00007093881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015318426,0.00015442501,0.00029077998,0.00033266313,0.000045204764,0.0000219271,0.00011494372,0.00005148537,0.000026851221],"category_scores_gemma":[0.000080201564,0.0001436567,0.000056950168,0.0005591922,0.000054426077,0.00023096765,0.000044697495,0.00008324638,0.0000081622375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001473951,0.0029833952,0.0036054011,0.02405211,0.002381314,0.000029106106,0.046283156,0.27679443,0.041091196,0.19781978,0.0033981784,0.40141454],"study_design_scores_gemma":[0.00015400536,0.000059632435,0.0006610968,0.00009611222,0.00006622588,0.0000063880143,0.00022492315,0.8369919,0.01944402,0.14205547,0.000025947314,0.00021425275],"about_ca_topic_score_codex":0.00000536312,"about_ca_topic_score_gemma":0.0000010052685,"teacher_disagreement_score":0.5622305,"about_ca_system_score_codex":0.000023466244,"about_ca_system_score_gemma":0.000005441647,"threshold_uncertainty_score":0.585815},"labels":[],"label_agreement":null},{"id":"W1964798934","doi":"10.1007/s00013-006-1615-z","title":"On the transversal Helly numbers of disjoint and overlapping disks","year":2006,"lang":"en","type":"article","venue":"Archiv der Mathematik","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Transversal (combinatorics); Mathematics; Disjoint sets; Infimum and supremum; Combinatorics; Unit (ring theory); Line (geometry); Natural number; Sequence (biology); Property (philosophy); Discrete mathematics; Geometry; Mathematical analysis","score_opus":0.004575194522278252,"score_gpt":0.18667463458638653,"score_spread":0.18209944006410828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964798934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5233059,0.00010718117,0.4472423,0.00022942194,0.0000148809295,0.00017294894,0.000008809744,0.0002643364,0.028654266],"genre_scores_gemma":[0.9908473,0.000020394482,0.009006119,0.000026015898,0.000012643085,0.000012138229,0.000002175349,0.000020153173,0.00005305071],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994542,0.000013904883,0.00018275066,0.000099766825,0.00011890586,0.0001304424],"domain_scores_gemma":[0.99951965,0.00024377173,0.000030300165,0.00017760284,0.0000056971753,0.000022970818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057529338,0.000108803186,0.00016609441,0.000038257902,0.00003401773,0.00000922731,0.00009092275,0.000018167697,0.00003020284],"category_scores_gemma":[0.000013442073,0.00007275696,0.00006770425,0.00009366357,0.0000738988,0.00004556415,0.000016579435,0.00009753208,0.0000063583666],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035296503,0.00027596205,0.00047792602,0.0006698524,0.00036255748,0.000013564121,0.0039742654,0.023408027,0.17415479,0.7759119,0.0052620773,0.015453775],"study_design_scores_gemma":[0.00028409527,0.00006362131,0.0031863146,0.0002338963,0.00008546455,0.000012478672,0.00025174912,0.060702935,0.057368644,0.8765857,0.0008141844,0.00041088698],"about_ca_topic_score_codex":0.00002578226,"about_ca_topic_score_gemma":0.000011889258,"teacher_disagreement_score":0.46754146,"about_ca_system_score_codex":0.000010951944,"about_ca_system_score_gemma":0.0000017193956,"threshold_uncertainty_score":0.29669425},"labels":[],"label_agreement":null},{"id":"W1965444722","doi":"10.1090/s0025-5718-06-01821-7","title":"Optimal 𝐶² two-dimensional interpolatory ternary subdivision schemes with two-ring stencils","year":2006,"lang":"en","type":"article","venue":"Mathematics of Computation","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Quadrilateral; Exponent; Smoothness; Subdivision; Ternary operation; Combinatorics; Uniform norm; Mathematical analysis; Geometry; Finite element method","score_opus":0.00647421579486388,"score_gpt":0.2418127085418627,"score_spread":0.23533849274699883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965444722","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49301672,0.000047951115,0.5063089,0.0000035218775,0.000012151091,0.00006461465,0.0000011157559,0.00018590261,0.00035912593],"genre_scores_gemma":[0.61130786,5.455384e-7,0.38862616,0.0000034241584,0.000019208443,0.0000048235124,0.000008754885,0.000019773806,0.00000946721],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999073,0.000010701615,0.0003647206,0.00012561325,0.00029038385,0.0001355731],"domain_scores_gemma":[0.9995256,0.000097862576,0.00012252221,0.00012960623,0.00009419154,0.000030234976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009892725,0.00015043964,0.00024693194,0.00013102924,0.000030188909,0.00001657331,0.00009684798,0.000029097848,0.000011857842],"category_scores_gemma":[0.00000800874,0.0001297007,0.00005580963,0.00016886473,0.000043399214,0.0001766698,0.000039631865,0.00009617862,0.000010166414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000065675035,0.00007006398,0.00022348225,0.00010938767,0.00003266841,0.0000037141629,0.0000816814,0.979096,0.017283192,0.0010579942,0.000042254167,0.0019930054],"study_design_scores_gemma":[0.00025659674,0.0000513476,0.00023334583,0.00016843542,0.000026558857,0.00000928295,0.000024908533,0.9530894,0.039765883,0.0062141228,0.00001049218,0.0001495988],"about_ca_topic_score_codex":0.0000137577845,"about_ca_topic_score_gemma":0.000002831137,"teacher_disagreement_score":0.118291125,"about_ca_system_score_codex":0.00005508239,"about_ca_system_score_gemma":0.000007459577,"threshold_uncertainty_score":0.5289041},"labels":[],"label_agreement":null},{"id":"W1965823846","doi":"10.1016/j.jco.2011.05.001","title":"Bit-size estimates for triangular sets in positive dimension","year":2011,"lang":"en","type":"article","venue":"Journal of Complexity","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Dimension (graph theory); Interpolation (computer graphics); Algebraic number; Context (archaeology); Degree (music); Discrete mathematics; Combinatorics; Mathematical analysis; Computer science","score_opus":0.04874806266807665,"score_gpt":0.2938994452722956,"score_spread":0.24515138260421895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965823846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6623614,0.00048299553,0.33592626,0.00009202888,0.00011452812,0.00019597873,0.000011291101,0.00010026661,0.0007152382],"genre_scores_gemma":[0.67229086,0.000013442748,0.32762942,0.000026181286,0.000022150845,0.000002400085,9.633317e-7,0.000011524671,0.0000030599178],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992963,0.000020139636,0.00036802585,0.000063142856,0.000109431574,0.000142945],"domain_scores_gemma":[0.9994704,0.0001628762,0.00011918236,0.00008611074,0.00010054799,0.000060874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020201966,0.000100062556,0.0003286374,0.00011060441,0.000021700285,0.000006424041,0.000117978605,0.000040126273,0.00004201784],"category_scores_gemma":[0.00014574229,0.00008287529,0.00013121811,0.00015622615,0.000038703532,0.00016267247,0.000017004786,0.00014623681,0.0000018364965],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008849894,0.0052165263,0.065881334,0.0013856862,0.004479321,0.0018115279,0.014845228,0.02479334,0.53880584,0.08125203,0.016664691,0.23601459],"study_design_scores_gemma":[0.001753024,0.00070306205,0.10566734,0.00023409392,0.0001459614,0.00009734697,0.00008612645,0.054788813,0.24902773,0.58654314,0.0005303042,0.00042303128],"about_ca_topic_score_codex":0.000011623346,"about_ca_topic_score_gemma":0.000007384282,"teacher_disagreement_score":0.50529116,"about_ca_system_score_codex":0.000074710086,"about_ca_system_score_gemma":0.0000071710506,"threshold_uncertainty_score":0.33795562},"labels":[],"label_agreement":null},{"id":"W1966550924","doi":"10.1177/0954405411401687","title":"Process planning for corner machining based on a looping tool path strategy","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; National Research Council Canada; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Deflection (physics); Machine tool; Kinematics; Tool path; Cutting tool; Jerk; Mechanical engineering; Computer science; Engineering","score_opus":0.01943453246756013,"score_gpt":0.23597815356494545,"score_spread":0.2165436210973853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966550924","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24914767,0.00018762294,0.7490464,0.000042525662,0.00057282567,0.00040970262,0.000019942465,0.00022331711,0.00035003052],"genre_scores_gemma":[0.9757566,0.000012390101,0.024031624,0.000023897337,0.00010828154,0.000017962284,0.0000014249665,0.00004417565,0.0000036533727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99831814,0.00000403744,0.00081648165,0.00016115082,0.0004139783,0.00028620902],"domain_scores_gemma":[0.9989675,0.00008300971,0.00042253494,0.00012349316,0.000304131,0.000099301695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041324046,0.0003027429,0.0005538999,0.00027292137,0.00004606953,0.000013513458,0.0005011657,0.00017845367,0.000010556464],"category_scores_gemma":[0.00041157374,0.00022382854,0.0003342097,0.0003260274,0.000041677307,0.0003039078,0.000026504202,0.00057354197,2.2814683e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011459015,0.0000552647,0.00003905477,0.00061256264,0.00012116967,0.0000018250227,0.0001356228,0.9767906,0.017894369,0.0035581603,0.00010595089,0.00057079765],"study_design_scores_gemma":[0.00059478625,0.000406677,0.00016315839,0.0014457363,0.00014573867,0.000020376641,0.000085603475,0.43582425,0.55957997,0.0010390735,0.00039414247,0.00030046364],"about_ca_topic_score_codex":6.904563e-7,"about_ca_topic_score_gemma":4.1689482e-8,"teacher_disagreement_score":0.72660893,"about_ca_system_score_codex":0.00008975129,"about_ca_system_score_gemma":0.00003606858,"threshold_uncertainty_score":0.91274625},"labels":[],"label_agreement":null},{"id":"W1967841258","doi":"10.1115/1.2961067","title":"Discretely Deformable Surface Based on Mechanical Interpolation: Application to the Design of a Dynamically Reconfigurable Theater Stage","year":2008,"lang":"en","type":"article","venue":"Journal of Mechanisms and Robotics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Interpolation (computer graphics); Actuator; Kinematics; Computer science; Mechanism (biology); Planar; Compliant mechanism; Limit (mathematics); Computer vision; Artificial intelligence; Computer graphics (images); Engineering; Mathematics; Finite element method; Structural engineering; Physics; Motion (physics)","score_opus":0.013205254629448465,"score_gpt":0.22557769257713053,"score_spread":0.21237243794768207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967841258","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017048048,0.000026028098,0.99752474,0.00043101664,0.000046310288,0.00015756501,0.000003211227,0.000026538335,0.00007978676],"genre_scores_gemma":[0.59421015,0.00006952038,0.40557665,0.0000848614,0.0000134997235,0.0000020508303,7.273378e-7,0.000012921941,0.000029630286],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991518,0.00004035278,0.00038951487,0.00007958804,0.00021326315,0.00012544496],"domain_scores_gemma":[0.9994279,0.000100408,0.00013968667,0.00015757841,0.00009617939,0.00007823919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033367364,0.00011208007,0.00024650316,0.000064816224,0.00006407281,0.000011277168,0.00015658952,0.000059080383,0.000014221811],"category_scores_gemma":[0.00002450785,0.0000671145,0.000071501476,0.00015642708,0.00001745585,0.000091303285,0.000013519025,0.00018399235,0.000001915982],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055452034,0.000020770609,0.0000032057874,0.000010086957,0.000021607126,0.0000025375805,0.00003429841,0.9488047,0.048552927,0.0017943112,0.000042744072,0.000657388],"study_design_scores_gemma":[0.00014332391,0.00043581516,0.00001870067,0.00004052996,0.000027065267,0.000021146763,0.000033631848,0.97016186,0.026745472,0.0021720964,0.00011712534,0.0000832604],"about_ca_topic_score_codex":0.0000029027094,"about_ca_topic_score_gemma":0.0000015609396,"teacher_disagreement_score":0.59250534,"about_ca_system_score_codex":0.000042832307,"about_ca_system_score_gemma":0.000015267713,"threshold_uncertainty_score":0.273685},"labels":[],"label_agreement":null},{"id":"W1968249674","doi":"10.4064/aa143-1-1","title":"The two faces of the twisted Kummer surface","year":2010,"lang":"en","type":"article","venue":"Acta Arithmetica","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"University of Waterloo","keywords":"Mathematics; Surface (topology); Pure mathematics; Geometry","score_opus":0.0044157659413114865,"score_gpt":0.23275180129292922,"score_spread":0.22833603535161773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968249674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9764902,0.0002405617,0.0070278817,0.0025440168,0.00040672655,0.00026968768,0.000010932268,0.00047792256,0.012532093],"genre_scores_gemma":[0.9909036,0.000045188528,0.008677639,0.00004192996,0.00002393833,0.0000068563554,6.6455954e-7,0.000019757736,0.000280399],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993194,0.000024369976,0.00018824276,0.00010495524,0.00017631802,0.0001867589],"domain_scores_gemma":[0.9991023,0.00024291486,0.000043340955,0.0005245181,0.000049281174,0.000037666206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001299205,0.0001083745,0.00014091106,0.000015677568,0.00009315548,0.000022155351,0.0004533741,0.00004563197,0.000049579754],"category_scores_gemma":[0.000128989,0.000057470246,0.00008803553,0.0003106655,0.0002161191,0.00005606136,0.000082402184,0.00032557067,0.000010109276],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005153168,0.00004326127,0.0018748625,0.000016437098,0.00013659017,9.0905024e-7,0.00013270913,0.0015632374,0.96808505,0.0053325566,0.0031041126,0.019705102],"study_design_scores_gemma":[0.0001655112,0.000020935593,0.005035821,0.000013339174,0.000073496245,0.0000051378315,0.000052775875,0.02794277,0.73609304,0.0061479053,0.22419572,0.00025355662],"about_ca_topic_score_codex":0.000027437258,"about_ca_topic_score_gemma":0.00007922056,"teacher_disagreement_score":0.23199204,"about_ca_system_score_codex":0.000010267308,"about_ca_system_score_gemma":0.0000066147236,"threshold_uncertainty_score":0.23435687},"labels":[],"label_agreement":null},{"id":"W1968445919","doi":"10.1016/j.cam.2003.12.047","title":"A note on finding clothoids","year":2004,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Mathematics; Transcendental equation; Work (physics); Spiral (railway); Nonlinear system; Applied mathematics; Transcendental number; Calculus (dental); Mathematical analysis; Numerical analysis","score_opus":0.011065155915795951,"score_gpt":0.26130692353996626,"score_spread":0.25024176762417033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968445919","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.093905516,0.00003041647,0.90415835,0.00008894362,0.000019384015,0.000033569668,8.9330206e-7,0.000042965716,0.001719961],"genre_scores_gemma":[0.57967037,0.000012799224,0.42022353,0.000042990123,0.00003805912,8.916054e-7,4.3722292e-7,0.000007746758,0.0000031594323],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994425,0.0000013836794,0.0002681396,0.000038216953,0.00018235807,0.00006740319],"domain_scores_gemma":[0.9996866,0.000107807406,0.00009474766,0.00003278493,0.000033062952,0.000044996912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007853885,0.00007692605,0.00017252154,0.00008489147,0.000028287628,0.000015305528,0.000053956213,0.000025433186,0.000004208695],"category_scores_gemma":[0.000011277715,0.000060471448,0.000042100553,0.00009617224,0.000019424448,0.000042006675,0.000008554334,0.00012270085,0.0000051832203],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041511803,0.00004145458,8.793962e-7,0.000037079502,0.000023100585,0.0000031467785,0.00018156932,0.9209318,0.0012283188,0.07281544,0.00005096419,0.0046820603],"study_design_scores_gemma":[0.00043412385,0.00007691372,0.000088285095,0.000098028606,0.000028775332,0.00007316753,0.00005112093,0.041786153,0.00706535,0.94972426,0.0004444977,0.00012933702],"about_ca_topic_score_codex":4.663665e-8,"about_ca_topic_score_gemma":4.6026578e-8,"teacher_disagreement_score":0.8791457,"about_ca_system_score_codex":0.000038271428,"about_ca_system_score_gemma":0.000008631951,"threshold_uncertainty_score":0.24659541},"labels":[],"label_agreement":null},{"id":"W1968884202","doi":"10.1145/1236246.1236291","title":"Approximate continuity for parametric Bézier patches","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Piecewise; Boundary (topology); Mathematics; Discontinuity (linguistics); Quartic function; Parametric statistics; Surface (topology); Position (finance); Interpolation (computer graphics); Parametrization (atmospheric modeling); Mathematical analysis; Geometry; Parametric surface; Classification of discontinuities; Computer science; Pure mathematics; Physics; Image (mathematics); Artificial intelligence","score_opus":0.01079470863262939,"score_gpt":0.26214422238136964,"score_spread":0.25134951374874026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968884202","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029105583,0.00008905,0.96145386,0.000010753344,0.0000316849,0.00017465712,0.000002773431,0.0010740038,0.008057628],"genre_scores_gemma":[0.80900407,0.0000156523,0.19051228,0.00004602514,0.000032015345,0.000027489958,0.0000040722593,0.000019532363,0.00033886344],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993489,0.000001905491,0.00018911305,0.00012198499,0.00008048452,0.00025763636],"domain_scores_gemma":[0.99957466,0.00015947204,0.000018925144,0.00014967276,0.000036200137,0.000061075785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002129149,0.00010188383,0.00017217173,0.000115359086,0.00002306994,0.00001036582,0.000092021735,0.00005667403,0.000031456126],"category_scores_gemma":[0.00006930546,0.0000853392,0.00008554736,0.0004204051,0.000021045433,0.000072796116,0.000014427842,0.00006789588,0.000011774848],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006640386,0.00019551764,0.0094761625,0.00027705348,0.00029719723,0.000010593236,0.00017063002,0.005193438,0.026857737,0.02524461,0.009541697,0.92266893],"study_design_scores_gemma":[0.00065421924,0.0001246804,0.0044575348,0.00001645329,0.00009087046,0.0000042696656,0.00014843307,0.15946002,0.6814352,0.060019106,0.09262713,0.0009620491],"about_ca_topic_score_codex":0.0000066863236,"about_ca_topic_score_gemma":0.000011595219,"teacher_disagreement_score":0.9217069,"about_ca_system_score_codex":0.000040591738,"about_ca_system_score_gemma":0.0000014153205,"threshold_uncertainty_score":0.34800315},"labels":[],"label_agreement":null},{"id":"W1969934681","doi":"10.1115/1.4006551","title":"Piecewise B-Spline Tool Paths With the Arc-Length Parameter and Their Application on High Feed, Accurate CNC Milling of Free-Form Profiles","year":2012,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Parameterized complexity; Piecewise; Spline (mechanical); Arc length; B-spline; Mathematics; Arc (geometry); Kinematics; Machining; Algorithm; Geometry; Computer science; Mathematical analysis; Engineering; Mechanical engineering; Physics","score_opus":0.006360302561107519,"score_gpt":0.20254260072780061,"score_spread":0.1961822981666931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969934681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89197683,0.0003011383,0.10744089,0.00009383409,0.00004015683,0.00009166215,0.00000209721,0.000041341293,0.000012032502],"genre_scores_gemma":[0.98814994,0.00022006157,0.011495847,0.000020110845,0.00008767772,0.0000080484815,3.0374605e-7,0.000016135426,0.0000018926188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990831,0.0000052301384,0.00026398152,0.00010855672,0.00027540946,0.0002637202],"domain_scores_gemma":[0.99936736,0.00014627502,0.00013350217,0.00019447731,0.000064325715,0.00009408161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005719747,0.00016418191,0.00023018241,0.00018964769,0.00008854926,0.000042859498,0.00024772913,0.000033222303,0.0000010468872],"category_scores_gemma":[0.00006552405,0.00008987238,0.00003459856,0.00020793887,0.00011599879,0.00060231116,0.000049340764,0.00024861813,2.514866e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007091558,0.00007053648,0.00064674544,0.00032275615,0.0001585499,0.0000039206234,0.001797664,0.4579242,0.35133117,0.00038949447,0.0000501241,0.18723392],"study_design_scores_gemma":[0.00022059433,0.00015097213,0.010218535,0.00014654682,0.00003561227,0.000049829177,0.00017763287,0.06439035,0.9235591,0.00026223107,0.00056743505,0.00022111772],"about_ca_topic_score_codex":0.0000034153438,"about_ca_topic_score_gemma":4.4153194e-7,"teacher_disagreement_score":0.57222795,"about_ca_system_score_codex":0.000050152314,"about_ca_system_score_gemma":0.000008506242,"threshold_uncertainty_score":0.36648893},"labels":[],"label_agreement":null},{"id":"W1970389490","doi":"10.1515/acv.2009.002","title":"Locality of the mean curvature of rectifiable varifolds","year":2009,"lang":"en","type":"article","venue":"Advances in Calculus of Variations","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University","keywords":"Mathematics; Bounded function; Locality; Mathematical analysis; Mean curvature; Constant (computer programming); Context (archaeology); Pure mathematics; Intersection (aeronautics); Geometry; Curvature","score_opus":0.0038792058686482043,"score_gpt":0.24712043795591268,"score_spread":0.24324123208726448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970389490","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005362444,0.0023696849,0.9799124,0.00018446216,0.00013483207,0.00020970801,0.000037631966,0.000100784135,0.011688032],"genre_scores_gemma":[0.97310174,0.00033723607,0.02649072,0.000020419107,0.0000112783955,0.0000065579643,0.0000028907853,0.000006988622,0.00002218834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991306,0.000036281162,0.000432028,0.000108958135,0.00017334385,0.00011877257],"domain_scores_gemma":[0.99926287,0.0001084062,0.00014605315,0.00036406703,0.00009850364,0.000020097501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015185041,0.00009119837,0.000269591,0.00007581432,0.000021032438,0.0000016986718,0.00023843284,0.00007103057,0.000017450664],"category_scores_gemma":[0.00014433873,0.00007156947,0.000095970885,0.0009965195,0.000067666275,0.00021340034,0.000023006136,0.00014873612,3.2129293e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017871993,0.00035190754,0.0027988798,0.00015420173,0.00007505923,5.3585103e-7,0.0004724652,0.75975716,0.035163533,0.15794757,0.00018734648,0.043073453],"study_design_scores_gemma":[0.00074875716,0.00025952506,0.03281573,0.00044266973,0.00022582104,0.0000029873897,0.00013968571,0.22041428,0.5038351,0.2187922,0.021722462,0.0006008151],"about_ca_topic_score_codex":0.000054284345,"about_ca_topic_score_gemma":0.000085463944,"teacher_disagreement_score":0.9677393,"about_ca_system_score_codex":0.00004719386,"about_ca_system_score_gemma":0.000014955779,"threshold_uncertainty_score":0.29185182},"labels":[],"label_agreement":null},{"id":"W1971209189","doi":"10.1016/j.jalgebra.2006.01.015","title":"A computational solution to a question by Beauville on the invariants of the binary quintic","year":2006,"lang":"en","type":"article","venue":"Journal of Algebra","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of British Columbia","keywords":"Quintic function; Mathematics; Quartic function; Moduli space; Binary number; Degree (music); Invariant theory; Invariant (physics); Pure mathematics; Conjugacy class; Moduli; Projective space; Projective line; Reduction (mathematics); Geometric invariant theory; Algebra over a field; Projective test; Mathematical analysis; Geometry; Arithmetic","score_opus":0.004790893812535596,"score_gpt":0.21716522571032526,"score_spread":0.21237433189778968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971209189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7134693,0.00017760994,0.2824069,0.0033184155,0.00010005041,0.000114145594,0.0000045568536,0.00003629792,0.00037267787],"genre_scores_gemma":[0.99532217,0.0000075898383,0.0044215554,0.00015813368,0.000056207275,0.0000021892968,0.0000011513368,0.000009086989,0.000021948126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992809,0.00004755188,0.0002954146,0.000044941415,0.00025015316,0.00008098815],"domain_scores_gemma":[0.9995748,0.00009176183,0.00013678984,0.00008916667,0.00008355834,0.000023922574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001918323,0.000067632456,0.00012400484,0.00007145057,0.000043042102,0.000009570666,0.00015571267,0.000027896687,0.000017609902],"category_scores_gemma":[0.000061741615,0.00003837039,0.000085221756,0.00028312893,0.00002787116,0.00008214053,0.000019793386,0.0001490342,0.0000046525324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005430074,0.00020413194,0.0006793848,0.000021985188,0.000108905406,0.0000044780504,0.00011994046,0.7795164,0.11454168,0.01319339,0.088235,0.0033204122],"study_design_scores_gemma":[0.0013408582,0.0017975895,0.10861009,0.0012053703,0.0003259555,0.00016985984,0.00018966051,0.35427636,0.18886174,0.33049804,0.0119030615,0.0008213993],"about_ca_topic_score_codex":0.000016964425,"about_ca_topic_score_gemma":0.0000028540921,"teacher_disagreement_score":0.42524004,"about_ca_system_score_codex":0.00007554002,"about_ca_system_score_gemma":0.000011392869,"threshold_uncertainty_score":0.15646991},"labels":[],"label_agreement":null},{"id":"W1972116990","doi":"10.1016/j.cagd.2013.05.002","title":"Curve design with more general planar Pythagorean-hodograph quintic spiral segments","year":2013,"lang":"en","type":"article","venue":"Computer Aided Geometric Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Quintic function; Mathematics; Planar; Hodograph; Offset (computer science); Geometric design; Algebraic expression; Polynomial; Geometry; Algebraic number; Mathematical analysis; Computer science; Computer graphics (images)","score_opus":0.019517623679762723,"score_gpt":0.22607676569182597,"score_spread":0.20655914201206324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972116990","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014739177,0.00034195438,0.982363,0.00003673322,0.0001414716,0.0008300766,0.0000034543732,0.0014362357,0.000107918146],"genre_scores_gemma":[0.28424597,0.000048377213,0.71489483,0.0002248182,0.00017337891,0.0001738897,0.000020459203,0.00010184821,0.0001164356],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974816,0.00014219977,0.00051124865,0.0005703265,0.0005155415,0.0007790699],"domain_scores_gemma":[0.99849015,0.0003214614,0.00011093333,0.0006180603,0.00015493354,0.00030445494],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027556685,0.00053546124,0.00062696764,0.0016228083,0.00009967725,0.00016124816,0.00059383246,0.00014387877,0.000112606205],"category_scores_gemma":[0.000029425772,0.00044289956,0.00016431611,0.0044306223,0.00010709895,0.0005196795,0.000073103576,0.00033249363,0.0002223981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004349336,0.0001978129,0.0039816275,0.00009384579,0.0006622344,0.0001351688,0.00011882976,0.74011874,0.001953445,0.000038359303,0.048350897,0.20430553],"study_design_scores_gemma":[0.0012659808,0.0013454147,0.01568801,0.00008170843,0.00019813656,0.00007650699,0.000018748302,0.95821804,0.018115688,0.002649497,0.00075340393,0.001588842],"about_ca_topic_score_codex":0.000059096983,"about_ca_topic_score_gemma":4.902162e-7,"teacher_disagreement_score":0.26950678,"about_ca_system_score_codex":0.00014334268,"about_ca_system_score_gemma":0.00001886408,"threshold_uncertainty_score":0.9998023},"labels":[],"label_agreement":null},{"id":"W1972729079","doi":"10.1137/s1052623401386794","title":"A Primal-Dual Algorithm for Solving Polyhedral Conic Systems with a Finite-Precision Machine","year":2002,"lang":"en","type":"article","venue":"SIAM Journal on Optimization","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mathematics; Conic section; Dual (grammatical number); Algorithm; Mathematical optimization; Geometry","score_opus":0.009995191754433275,"score_gpt":0.22356960838471207,"score_spread":0.2135744166302788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972729079","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00031811255,0.0008536833,0.99767303,0.00006851398,0.0001432846,0.0002689482,0.000014012906,0.00028955578,0.00037086324],"genre_scores_gemma":[0.3304239,0.00093363505,0.66776705,0.000073416464,0.00031999525,0.000052638377,0.00003536389,0.00010345201,0.00029059313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99886507,0.000028000128,0.0003813673,0.00016707597,0.00028403345,0.00027445544],"domain_scores_gemma":[0.9992963,0.00014757707,0.00015102801,0.0001450996,0.00014495698,0.000115036506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015821625,0.00020442945,0.00028028456,0.00022140925,0.00015931175,0.00012813047,0.00011238712,0.000083281404,0.00010296105],"category_scores_gemma":[0.00006541245,0.00015939579,0.00009047552,0.0003152669,0.000020558293,0.00034745346,0.000012324567,0.0002773648,0.0000075477874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021310065,0.000037332924,0.000009382905,0.000013261895,0.000051478208,0.000010284477,0.000043251053,0.96693724,0.00009385966,0.000035792073,0.00025030627,0.032496497],"study_design_scores_gemma":[0.0006233511,0.0004276408,0.0000036375466,0.00012875444,0.00004140412,0.000108061824,0.000020184181,0.997153,0.00038956065,0.000048316633,0.0008465598,0.00020953584],"about_ca_topic_score_codex":0.0000015607081,"about_ca_topic_score_gemma":4.5434123e-7,"teacher_disagreement_score":0.33010578,"about_ca_system_score_codex":0.00018768194,"about_ca_system_score_gemma":0.000007641876,"threshold_uncertainty_score":0.6499972},"labels":[],"label_agreement":null},{"id":"W1972781845","doi":"10.1080/1068276031000086778","title":"Optimal Geometric Representation of Turbomachinery Cascades Using Nurbs","year":2003,"lang":"en","type":"article","venue":"Inverse problems in engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Turbomachinery; Representation (politics); Smoothness; Aerodynamics; Mathematics; Turbine blade; Inverse; Aeroelasticity; Shape optimization; Control theory (sociology); Inverse problem; Simulated annealing; Mathematical optimization; Computer science; Turbine; Mathematical analysis; Control (management); Geometry; Engineering; Structural engineering; Mechanical engineering","score_opus":0.01790288665804625,"score_gpt":0.25186035025025505,"score_spread":0.23395746359220881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972781845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5666106,0.00044891692,0.43211833,0.0000011884739,0.00008166019,0.00012585764,0.0000017122346,0.0002678088,0.00034398312],"genre_scores_gemma":[0.86533594,0.000063089414,0.13451508,0.0000024614699,0.000014161876,0.000018796547,0.0000018744928,0.000040981515,0.000007641893],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989651,0.000020027934,0.00041540654,0.00018677638,0.00014501717,0.000267697],"domain_scores_gemma":[0.99958,0.000076442695,0.000051410145,0.00020659727,0.000030138845,0.00005539405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016237437,0.00018080472,0.0002962744,0.0007561838,0.000015851054,0.000010862742,0.00009498885,0.00008968905,0.000023340417],"category_scores_gemma":[0.00016472516,0.00019897093,0.00007899969,0.0019684015,0.000022853566,0.00026730716,0.000022829943,0.000235691,0.0000020213986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.484454e-7,0.000014510393,0.0016520742,0.00013617818,0.000028731169,0.0000424508,0.00010417968,0.9482914,0.049038637,0.00007588408,0.000010504244,0.000604776],"study_design_scores_gemma":[0.00017476021,0.000012358517,0.00008413359,0.00008509786,0.000019016483,0.000140896,0.000051782154,0.89541316,0.10354027,0.00011340539,0.00013700018,0.0002281376],"about_ca_topic_score_codex":0.00010480596,"about_ca_topic_score_gemma":0.0000103547445,"teacher_disagreement_score":0.29872537,"about_ca_system_score_codex":0.0001530001,"about_ca_system_score_gemma":0.000006637509,"threshold_uncertainty_score":0.8113799},"labels":[],"label_agreement":null},{"id":"W1973090961","doi":"10.1145/2608628.2608650","title":"A fast algorithm for computing the characteristic polynomial of the p-curvature","year":2014,"lang":"en","type":"preprint","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Curvature; Polynomial; Algorithm; Operator (biology); Computation; Differential operator; Time complexity; Differential (mechanical device); Field (mathematics); Computer science; Mathematics; Discrete mathematics; Algebra over a field; Pure mathematics; Mathematical analysis; Geometry; Physics","score_opus":0.0066258526350117496,"score_gpt":0.23639647034045638,"score_spread":0.22977061770544463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973090961","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026408322,0.000095536125,0.9952166,0.00020038892,0.0004388709,0.0005050871,0.000074041396,0.00032878062,0.00049986556],"genre_scores_gemma":[0.88139063,0.000021405884,0.1173185,0.00018926726,0.00067243737,0.000077290126,0.000040035153,0.00006691037,0.00022352052],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990403,0.00003326157,0.00036124693,0.00021575869,0.00014459057,0.00020482304],"domain_scores_gemma":[0.99892783,0.00019123404,0.00017845025,0.00060335314,0.00007164686,0.000027488977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016150426,0.00024484826,0.00043322588,0.0000358499,0.00007002975,0.000028498684,0.0006657256,0.00019952934,0.000011449165],"category_scores_gemma":[0.000053576754,0.00013009824,0.00034169212,0.00011299669,0.000077855315,0.000017232393,0.00044852434,0.00060211506,0.0000016717174],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008973365,0.00004534563,0.00008392325,0.00061088894,0.00063851214,5.021523e-7,0.00036287238,0.07051109,0.004218634,0.00034766225,0.010717652,0.91245395],"study_design_scores_gemma":[0.000076610304,0.000012274629,0.0007699277,0.000106323045,0.000118166645,0.0000016053123,0.000013792138,0.982535,0.005482949,0.0008453209,0.0098050935,0.00023292513],"about_ca_topic_score_codex":0.000021611791,"about_ca_topic_score_gemma":0.0000040077507,"teacher_disagreement_score":0.912221,"about_ca_system_score_codex":0.00005036815,"about_ca_system_score_gemma":0.000013243518,"threshold_uncertainty_score":0.5305252},"labels":[],"label_agreement":null},{"id":"W1973145128","doi":"10.1007/s10092-008-0142-7","title":"Multipoint Taylor interpolation","year":2008,"lang":"en","type":"article","venue":"CALCOLO","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Mathematics; Interpolation (computer graphics); Birkhoff interpolation; Function space; Differential (mechanical device); Hermite interpolation; Theory of computation; Space (punctuation); Applied mathematics; Function (biology); Polynomial; Hermite polynomials; Algebraic number; Polynomial interpolation; Analytic function; Mathematical analysis; Algebra over a field; Pure mathematics; Linear interpolation; Algorithm; Computer science","score_opus":0.013580872967735795,"score_gpt":0.23292323819119554,"score_spread":0.21934236522345973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973145128","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15735781,0.00012282301,0.83382493,0.000046194386,0.00008983124,0.000113826376,0.0000018848204,0.0012613265,0.007181382],"genre_scores_gemma":[0.97772926,0.000023053768,0.021968951,0.000056192195,0.000043050313,0.000025786718,0.0000038407525,0.000014415132,0.0001354409],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996421,0.0000057261705,0.00011106056,0.00007852091,0.000056803794,0.000105789084],"domain_scores_gemma":[0.9998006,0.000019943507,0.000011439298,0.000110085355,0.000017239745,0.00004064424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000018864337,0.00006690413,0.00009586069,0.0000457952,0.000029390192,0.00000290329,0.000060550254,0.000037608603,0.00008916619],"category_scores_gemma":[0.000025699033,0.000062227344,0.000045661975,0.00013315766,0.000029249055,0.00007320716,0.000014765712,0.000080287966,0.000107296306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060978095,0.0002477523,0.013972185,0.00011889995,0.00029864942,0.00023220903,0.0019889523,0.051557105,0.62988484,0.002921926,0.05917214,0.23954435],"study_design_scores_gemma":[0.0002822356,0.0000699831,0.006281716,0.0000136965755,0.000018545781,0.000032138174,0.00003182048,0.829478,0.105625644,0.0012013303,0.056557406,0.00040743133],"about_ca_topic_score_codex":0.00000332794,"about_ca_topic_score_gemma":0.0000018202044,"teacher_disagreement_score":0.82037145,"about_ca_system_score_codex":0.00004736842,"about_ca_system_score_gemma":0.0000015701519,"threshold_uncertainty_score":0.25375575},"labels":[],"label_agreement":null},{"id":"W1973565615","doi":"10.1115/detc2010-29007","title":"A New Approach to Generating Accurate NURBS Cutter Location Paths With Approximate Arc Length Parameter","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Interpolation (computer graphics); Arc length; Arc (geometry); Bézier curve; Path (computing); Path length; Algorithm; Trajectory; Cutter location; Machining; Computer science; Chord (peer-to-peer); Motion planning; Mathematics; Mathematical optimization; Geometry; Tool path; Artificial intelligence; Robot; Engineering","score_opus":0.011960781226578647,"score_gpt":0.23878860229382526,"score_spread":0.2268278210672466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973565615","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039170034,0.000006889886,0.95109624,0.00008907261,0.000033481352,0.00025363464,8.231348e-7,0.0008309317,0.0085188765],"genre_scores_gemma":[0.4214668,0.0000015665851,0.57754976,0.00019409804,0.000077397955,0.000077049255,0.0000072207517,0.000035516758,0.00059056527],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897295,0.000012820531,0.00022270414,0.000309382,0.00016740472,0.00031472827],"domain_scores_gemma":[0.9993023,0.000033330496,0.000033185624,0.00039958704,0.000058180383,0.00017338799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009972644,0.00021318335,0.0002115746,0.00009284045,0.000052710937,0.0000778407,0.00017823522,0.00007477341,0.00008409021],"category_scores_gemma":[0.000042389867,0.00015670383,0.0000388584,0.00043974436,0.00001693329,0.0002481866,0.00003403996,0.00028143352,0.000053173797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044780623,0.00015693747,0.00048453212,0.00015147512,0.00022595494,0.0000062817503,0.0012211238,0.4441436,0.30691105,0.0050964,0.013384198,0.22817367],"study_design_scores_gemma":[0.00016361648,0.00004092073,0.00010371624,0.000013422489,0.000028217726,0.0000118164935,0.000046279572,0.90728617,0.08843919,0.0007753109,0.0026321334,0.00045922768],"about_ca_topic_score_codex":0.000021479133,"about_ca_topic_score_gemma":0.000020890999,"teacher_disagreement_score":0.46314254,"about_ca_system_score_codex":0.00002887159,"about_ca_system_score_gemma":0.000013185292,"threshold_uncertainty_score":0.63901967},"labels":[],"label_agreement":null},{"id":"W1973628482","doi":"10.1016/j.cie.2012.06.008","title":"Process planning for Floor machining of 2½D pockets based on a morphed spiral tool path pattern","year":2012,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; National Research Council Canada; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spiral (railway); Tool path; Machining; Process (computing); Engineering drawing; Path (computing); Engineering; Computer science; Manufacturing engineering; Mechanical engineering","score_opus":0.02841816230025418,"score_gpt":0.2598021455928968,"score_spread":0.23138398329264265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973628482","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27699128,0.000061721505,0.7215368,0.000011735258,0.0004675161,0.0002976161,0.0000173784,0.0005943953,0.000021574577],"genre_scores_gemma":[0.9791473,6.679325e-7,0.019898405,0.000049115813,0.0006952349,0.00008811224,0.000032086653,0.000087302724,0.0000017853687],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985215,0.000014942552,0.00046217008,0.00022261094,0.0002334415,0.0005453275],"domain_scores_gemma":[0.9993046,0.00018109841,0.00009317659,0.0002450777,0.000038541002,0.00013748606],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000218832,0.0003288969,0.00047549428,0.0002586216,0.00004201511,0.000022525683,0.00025491224,0.00017729626,0.000009033105],"category_scores_gemma":[0.00011104917,0.00034055617,0.00016625984,0.00034427547,0.000014940178,0.0002214981,0.00003560152,0.00037578237,0.0000024308897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028488023,0.00003835949,0.0012685088,0.000120029756,0.00006170494,0.0000030413669,0.00014447648,0.94551444,0.00327091,0.0000127693365,0.000114372946,0.049422923],"study_design_scores_gemma":[0.00088394154,0.0001342292,0.00037048865,0.0003752392,0.000042541422,0.0000021089136,0.000014121353,0.9712429,0.026090097,0.000008227586,0.00044727267,0.00038881556],"about_ca_topic_score_codex":0.0000036579338,"about_ca_topic_score_gemma":4.0811866e-8,"teacher_disagreement_score":0.702156,"about_ca_system_score_codex":0.000105418156,"about_ca_system_score_gemma":0.000015455453,"threshold_uncertainty_score":0.99990463},"labels":[],"label_agreement":null},{"id":"W1975685363","doi":"10.1155/s0161171202013194","title":"Optimal bound for the number of (−1)‐curves on extremal rational surfaces","year":2002,"lang":"en","type":"article","venue":"International Journal of Mathematics and Mathematical Sciences","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universidad de Valladolid; McGill University","keywords":"Algorithm; Computer science","score_opus":0.036723367557242315,"score_gpt":0.32085793952836694,"score_spread":0.2841345719711246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975685363","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3325651,0.0022125181,0.6538944,0.0039204955,0.00030919508,0.00031600782,0.00002753609,0.000049815877,0.0067049144],"genre_scores_gemma":[0.8060755,0.0020285682,0.19156961,0.00007763067,0.00011432594,0.000010551071,3.9297043e-7,0.000010747037,0.0001126423],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988525,0.000007883363,0.00046477994,0.00006590236,0.0005092927,0.0000996252],"domain_scores_gemma":[0.998268,0.0012599423,0.00019493393,0.00006199906,0.00017448615,0.00004062344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004553764,0.000095203286,0.00022462907,0.00005392386,0.000057249057,0.000052928,0.00034378166,0.000024589675,0.00026984187],"category_scores_gemma":[0.00031724118,0.000051574665,0.0001113489,0.00009067123,0.00025574135,0.00015388083,0.00002165218,0.000062581734,0.000004372964],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000056939698,0.0021537517,0.00032295295,0.0012827842,0.0015791886,0.000018538309,0.0030197902,0.08659268,0.010638869,0.8323971,0.010351504,0.051585868],"study_design_scores_gemma":[0.00040147005,0.00032053195,0.00006942519,0.00075248873,0.00010992262,0.00023972022,0.0004488037,0.7925761,0.007262944,0.19534017,0.0022637416,0.0002147031],"about_ca_topic_score_codex":4.978025e-7,"about_ca_topic_score_gemma":4.0455672e-7,"teacher_disagreement_score":0.7059834,"about_ca_system_score_codex":0.00001949342,"about_ca_system_score_gemma":0.000007927625,"threshold_uncertainty_score":0.2954579},"labels":[],"label_agreement":null},{"id":"W1976384710","doi":"10.1145/1557626.1557647","title":"Designing an interactive OpenGL slide-based presentation of the softbody simulation system for teaching and learning of computer graphics techniques","year":2009,"lang":"en","type":"preprint","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"OpenGL; Computer science; Presentation (obstetrics); Animation; Computer graphics (images); Graphics; Computer graphics; Multimedia; Computer animation; Human–computer interaction; Visualization; Artificial intelligence","score_opus":0.015088173390534207,"score_gpt":0.3072357403867364,"score_spread":0.2921475669962022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976384710","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.030232092,0.000027068976,0.9680786,0.0000079253305,0.000034823963,0.0009107031,0.000004960822,0.0005800423,0.00012379156],"genre_scores_gemma":[0.64620656,0.000002992613,0.35366192,0.0000076246374,0.00002628849,0.000044686924,0.00002394686,0.000023594484,0.0000024126418],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864864,0.0003085605,0.000504176,0.0002535722,0.0001699471,0.000115099676],"domain_scores_gemma":[0.9984562,0.0006911491,0.00037916724,0.0002548916,0.00019036485,0.000028221924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005972991,0.00021668186,0.0004357207,0.0002179532,0.00009393479,0.000033938344,0.00021284285,0.00017036813,6.5127915e-7],"category_scores_gemma":[0.0001229848,0.00017364159,0.00014345905,0.00011193999,0.000045535933,0.00020743656,0.000113424176,0.00072390714,2.2325098e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002342604,0.000022946977,0.00022388685,0.0006373114,0.000060568807,1.2049664e-7,0.00039038458,0.95553786,0.009925134,0.00043429175,0.000003745467,0.03274033],"study_design_scores_gemma":[0.00008582076,0.00010383676,0.00018296909,0.00063851353,0.0000789807,2.9871984e-7,0.00016770545,0.8490345,0.14872228,0.00082014746,0.000017958311,0.00014700215],"about_ca_topic_score_codex":0.00008066613,"about_ca_topic_score_gemma":0.0000040975738,"teacher_disagreement_score":0.6159744,"about_ca_system_score_codex":0.00008322191,"about_ca_system_score_gemma":0.000012902426,"threshold_uncertainty_score":0.7080898},"labels":[],"label_agreement":null},{"id":"W1976395159","doi":"10.1167/14.10.348","title":"Tracking Illusory Contour Figures","year":2014,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Illusory contours; Gestalt psychology; Orientation (vector space); Object (grammar); Luminance; Artificial intelligence; Computer vision; Task (project management); Psychology; Cognitive psychology; Computer science; Perception; Illusion; Optical illusion; Mathematics; Geometry; Neuroscience","score_opus":0.008218898077992538,"score_gpt":0.2710996878348934,"score_spread":0.2628807897569009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976395159","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22714151,0.0011706937,0.7663309,0.00019394758,0.0002533662,0.00003929424,5.2432864e-7,0.00017996694,0.0046897884],"genre_scores_gemma":[0.98707736,0.00016648708,0.012441834,0.0000591989,0.00020133925,2.6817622e-7,2.1427051e-7,0.000013857874,0.000039426093],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993842,0.000022199329,0.00028090033,0.000043604483,0.00017449037,0.000094586576],"domain_scores_gemma":[0.9996119,0.0000718267,0.00009888778,0.00008266957,0.00007578786,0.00005889819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022111868,0.00007083227,0.00019183487,0.000101332436,0.000022211363,0.000017008986,0.00011453895,0.000040215287,0.000042073592],"category_scores_gemma":[0.00010908723,0.00005331652,0.00010793843,0.000091308284,0.000012917913,0.00021368865,0.000009670371,0.0001788429,0.000008604964],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002755543,0.000052722397,0.000346761,0.00004994847,0.00006928375,0.000022241366,0.00013279666,0.036320083,0.33025753,0.00028263513,0.012418023,0.62002045],"study_design_scores_gemma":[0.0017522376,0.0016987618,0.04526226,0.0011455812,0.00020490274,0.00023868868,0.00016062798,0.21484593,0.19704294,0.027112551,0.509578,0.00095754093],"about_ca_topic_score_codex":6.484793e-7,"about_ca_topic_score_gemma":6.547912e-7,"teacher_disagreement_score":0.75993586,"about_ca_system_score_codex":0.000035456214,"about_ca_system_score_gemma":0.0000026050798,"threshold_uncertainty_score":0.21741845},"labels":[],"label_agreement":null},{"id":"W1976436099","doi":"10.4153/cmb-2000-002-2","title":"Multilinear Proofs for Convolution Estimates for Degenerate Plane Curves","year":2000,"lang":"en","type":"article","venue":"Canadian Mathematical Bulletin","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Multilinear map; Integer (computer science); Plane curve; Function (biology); Convolution (computer science); Measure (data warehouse); Combinatorics; Mathematical proof; Plane (geometry); Degenerate energy levels; Mathematical analysis; Pure mathematics; Discrete mathematics; Geometry","score_opus":0.010982175094203763,"score_gpt":0.23467205086889453,"score_spread":0.22368987577469077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976436099","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012229372,0.0022888007,0.9723765,0.0040053963,0.000063695385,0.0029337276,0.0005398568,0.0011534205,0.0044092024],"genre_scores_gemma":[0.30030513,0.0002497984,0.6875837,0.0017695423,0.00030081515,0.0028344777,0.000587571,0.00023396629,0.0061350036],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990606,0.0000073888405,0.00027178353,0.00018223998,0.000071440525,0.0004065603],"domain_scores_gemma":[0.9992465,0.0002229846,0.000018354316,0.00017151296,0.00005227315,0.0002883811],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012298688,0.00017029043,0.0002828853,0.00005985657,0.00008017569,0.000021358479,0.00012982424,0.00008460062,0.003613128],"category_scores_gemma":[0.00023344706,0.00016014544,0.00009325711,0.0000843168,0.00005055017,0.000026979174,0.0000035220007,0.00007340678,0.0005977182],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013633553,0.00025361727,0.000073664916,0.0101172915,0.00055472425,0.0000324177,0.0002649335,0.030615473,0.0051850667,0.026771521,0.7808807,0.14511424],"study_design_scores_gemma":[0.00038685932,0.000088274915,0.000012735434,0.00029690983,0.000105471205,0.000010486314,0.000008772382,0.52557147,0.012485628,0.02403614,0.43651405,0.00048319838],"about_ca_topic_score_codex":0.00008006559,"about_ca_topic_score_gemma":0.00021249523,"teacher_disagreement_score":0.494956,"about_ca_system_score_codex":0.00010606457,"about_ca_system_score_gemma":0.000024921157,"threshold_uncertainty_score":0.9972977},"labels":[],"label_agreement":null},{"id":"W1976721693","doi":"10.1007/s00371-008-0236-x","title":"Efficient reconstruction from non-uniform point sets","year":2008,"lang":"en","type":"article","venue":"The Visual Computer","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Austrian Science Fund","keywords":"Rendering (computer graphics); Trigonometry; Computer science; Algorithm; 3D reconstruction; Surface reconstruction; Computation; Computer graphics; Iterative reconstruction; Spline (mechanical); Scalar (mathematics); Artificial intelligence; Mathematics; Geometry","score_opus":0.009740616537328887,"score_gpt":0.2420170831523736,"score_spread":0.23227646661504472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976721693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50054187,0.000014743848,0.49868062,0.00002958582,0.0001230312,0.000051304243,0.00000156257,0.0003041557,0.00025314683],"genre_scores_gemma":[0.9396696,0.000016810414,0.05999474,0.000097675664,0.00017887235,0.000006526647,0.000005656535,0.000017793565,0.0000123133705],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994361,0.000014620632,0.00016137278,0.00012504106,0.000113494694,0.0001493969],"domain_scores_gemma":[0.9996812,0.0000472174,0.000025328032,0.0001841206,0.000021897607,0.000040259783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000046039957,0.000115040435,0.00014414564,0.000046892874,0.00008954528,0.000010703528,0.00013056003,0.000037991507,0.000046807843],"category_scores_gemma":[0.0000020796022,0.000079706726,0.00006912872,0.00017092656,0.00005782316,0.000039028084,0.00005505448,0.00014291932,0.00011914112],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018530727,0.000076129676,0.00030100057,0.000010844687,0.00014034186,0.000020164727,0.0008405257,0.77904797,0.00644641,0.000060612238,0.0035438593,0.2094936],"study_design_scores_gemma":[0.000082799015,0.000035726647,0.0014867194,0.000011919935,0.000009179819,0.000027250917,0.0000080967775,0.9903338,0.0070059686,0.00049658096,0.00038195337,0.00011999168],"about_ca_topic_score_codex":0.000024878223,"about_ca_topic_score_gemma":0.0000014995467,"teacher_disagreement_score":0.43912777,"about_ca_system_score_codex":0.00005145461,"about_ca_system_score_gemma":0.0000032573287,"threshold_uncertainty_score":0.3250346},"labels":[],"label_agreement":null},{"id":"W1978193861","doi":"10.1115/detc2014-34312","title":"Spiral Tool Path Planning Using Eccentric Parameters","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"China Scholarship Council","keywords":"Spiral (railway); Diagonal; Path (computing); Parametric statistics; Planar; Curvature; Machining; Point (geometry); Surface (topology); Geometry; Computer science; Parametric surface; Algorithm; Mathematics; Engineering; Mathematical analysis; Mechanical engineering; Computer graphics (images)","score_opus":0.016445926801171105,"score_gpt":0.2529643291875831,"score_spread":0.236518402386412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978193861","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28434646,0.0000394063,0.7128141,0.000004211791,0.000034718043,0.00003794863,3.3770348e-7,0.00069685135,0.0020259346],"genre_scores_gemma":[0.81430286,0.0000031510833,0.18552195,0.00009215021,0.00003080955,0.0000031975621,0.0000016411597,0.00001943563,0.000024788225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993748,0.000012240851,0.00016116642,0.00012630431,0.00010031169,0.00022517508],"domain_scores_gemma":[0.99972165,0.00004054619,0.000019255876,0.00016021491,0.000010969268,0.000047350066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000617312,0.00011431649,0.00015834862,0.00008303197,0.000031018084,0.000020979785,0.000092713875,0.000040592546,0.000040612696],"category_scores_gemma":[0.000032333715,0.00010048146,0.000060272658,0.00024361881,0.000014334182,0.00012306242,0.000022772108,0.000094936855,0.000020401774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004023376,0.000017919017,0.00838791,0.00003176007,0.000052061398,0.0000091985,0.000049501235,0.9055742,0.014689894,0.0007165547,0.0007528128,0.069714166],"study_design_scores_gemma":[0.000079449004,0.000020872785,0.0003801918,0.000015436237,0.000018906425,0.0000030343795,0.000011319332,0.97983015,0.015209999,0.0010675612,0.0031419755,0.00022111881],"about_ca_topic_score_codex":0.000010128969,"about_ca_topic_score_gemma":1.7590887e-7,"teacher_disagreement_score":0.5299564,"about_ca_system_score_codex":0.000052275507,"about_ca_system_score_gemma":0.000001702029,"threshold_uncertainty_score":0.4097515},"labels":[],"label_agreement":null},{"id":"W1978737230","doi":"10.1115/pvp2012-78237","title":"Determination of Fiber Orientation Along the Length of Complex Composite Structures Subjected to Internal Pressure and Axial Loading","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Piping; Materials science; Internal pressure; Axial symmetry; Composite number; Fiber; Composite material; Structural engineering; Orientation (vector space); Geometry; Engineering; Mechanical engineering; Mathematics","score_opus":0.010446835630635077,"score_gpt":0.26665376189199774,"score_spread":0.25620692626136266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978737230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.783019,0.0000676147,0.21579707,0.00000861517,0.000026671843,0.000094756964,0.000004914689,0.0000642359,0.000917145],"genre_scores_gemma":[0.96446335,0.0000025936324,0.035463724,0.000012867336,0.000022738941,0.0000034391414,0.0000052349374,0.000007447887,0.000018621366],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99959207,0.000017732686,0.0001627809,0.00005279175,0.00009381341,0.00008083179],"domain_scores_gemma":[0.9997569,0.00005695284,0.000042338175,0.00007566606,0.000040335068,0.000027822905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004660389,0.00006190216,0.000107901236,0.000045045344,0.00001994368,0.000006129098,0.000060695013,0.000022325095,0.00008884964],"category_scores_gemma":[0.0000118129265,0.000044443044,0.000021961127,0.00010157029,0.00003330604,0.0001397368,0.00002850093,0.000045166133,4.964538e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004750492,0.000025231187,0.0146687385,0.00013137842,0.00013272399,2.2892243e-7,0.00207937,0.0037929937,0.9246493,0.0038013367,0.00014734697,0.05052386],"study_design_scores_gemma":[0.000118861855,0.000036694983,0.110233076,0.000019001862,0.000076441036,0.0000037162029,0.000069591675,0.020681811,0.86780757,0.00032002406,0.00053484336,0.00009835334],"about_ca_topic_score_codex":0.0001264625,"about_ca_topic_score_gemma":0.000031122414,"teacher_disagreement_score":0.18144435,"about_ca_system_score_codex":0.000008190111,"about_ca_system_score_gemma":6.871109e-7,"threshold_uncertainty_score":0.18123348},"labels":[],"label_agreement":null},{"id":"W1979225813","doi":"10.1007/bf02511225","title":"Fourier analysis of 2-point hermite interpolatory subdivision schemes","year":2001,"lang":"en","type":"article","venue":"Journal of Fourier Analysis and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Mathematics; Hermite polynomials; Hermite interpolation; Fourier transform; Fourier inversion theorem; Subdivision; Fourier analysis; Multiplicative function; Mathematical analysis; Sine and cosine transforms; Discrete Fourier transform (general); Function (biology); Fractional Fourier transform; Pure mathematics; Applied mathematics","score_opus":0.005169887951662179,"score_gpt":0.25253382281703424,"score_spread":0.24736393486537206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979225813","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.161379,0.0012624966,0.8365415,0.00007778909,0.000009477306,0.000068094014,0.000011747577,0.000042481915,0.000607432],"genre_scores_gemma":[0.97600347,0.0016272475,0.022121953,0.000037978458,0.00007202306,0.000015441496,0.00001200077,0.000017100918,0.00009278674],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983626,0.000033033408,0.0009163252,0.00017883626,0.00033710824,0.00017210735],"domain_scores_gemma":[0.99858075,0.00010285531,0.00043988632,0.00040854784,0.00029714566,0.00017081709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000361842,0.00017967762,0.00085958815,0.0016731917,0.000071212664,0.000032764263,0.00023689233,0.00007795204,0.00017939312],"category_scores_gemma":[0.00002765721,0.00014954523,0.00087857345,0.0048504253,0.00008995733,0.0002439104,0.00004232941,0.00022260878,0.0000020468535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010342304,0.00084787497,0.3252573,0.00011473545,0.09290965,0.000033772365,0.0006693736,0.11626755,0.026051354,0.0058044954,0.0014688973,0.4304716],"study_design_scores_gemma":[0.0005616021,0.00015763217,0.10385392,0.00005985039,0.059848662,0.000031198437,0.00039174844,0.7238039,0.010283922,0.00392665,0.09625053,0.0008304184],"about_ca_topic_score_codex":0.000013253438,"about_ca_topic_score_gemma":0.000031779666,"teacher_disagreement_score":0.8146245,"about_ca_system_score_codex":0.000054346285,"about_ca_system_score_gemma":0.000011397346,"threshold_uncertainty_score":0.60982776},"labels":[],"label_agreement":null},{"id":"W1979275066","doi":"10.1016/s0166-3615(03)00019-8","title":"Automated surface subdivision and tool path generation for -axis CNC machining of sculptured parts","year":2003,"lang":"en","type":"article","venue":"Computers in Industry","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University; University of Victoria","keywords":"Machining; Numerical control; Tool path; Cutter location; Engineering drawing; Machine tool; Surface (topology); Path (computing); Computer-aided manufacturing; Engineering; Mechanical engineering; Computer science; CAD; Geometry; Mathematics","score_opus":0.017667875428006748,"score_gpt":0.26090994189562455,"score_spread":0.2432420664676178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979275066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68099254,0.00015200555,0.3182881,0.000009175512,0.000094255825,0.00012437151,0.0000038930234,0.0002875636,0.00004811361],"genre_scores_gemma":[0.8796101,0.0000120129735,0.12029758,0.000022387589,0.000017586593,0.000007983224,0.000012972583,0.000014702248,0.0000046621485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993595,0.000032547036,0.00023586433,0.00015743168,0.00007540762,0.0001392417],"domain_scores_gemma":[0.9997077,0.000064339074,0.00004175171,0.00013149623,0.000022852215,0.000031867246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014744695,0.0001099051,0.00019336288,0.000060188784,0.00002754574,0.000014167424,0.000060552702,0.00018773336,0.0000034661894],"category_scores_gemma":[0.000044599736,0.00011126827,0.00002997789,0.00019575238,0.000021928183,0.000093027425,0.000018764484,0.00020198635,2.3858294e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010399749,0.000077385484,0.02682259,0.0001689946,0.00007587611,0.00000867589,0.0005324835,0.88988733,0.043866992,0.0014756396,0.004744028,0.032329615],"study_design_scores_gemma":[0.00022604402,0.000030446803,0.00134973,0.000059804588,0.0000075133,0.0000021719743,0.000016087277,0.9741332,0.02343767,0.0002473126,0.00035282524,0.00013717542],"about_ca_topic_score_codex":0.0000032700045,"about_ca_topic_score_gemma":9.889244e-7,"teacher_disagreement_score":0.19861758,"about_ca_system_score_codex":0.00004088606,"about_ca_system_score_gemma":0.0000066030198,"threshold_uncertainty_score":0.45373884},"labels":[],"label_agreement":null},{"id":"W1979560700","doi":"10.1115/detc2014-35082","title":"Symbolic Formulation of a Path-Following Joint for Multibody Dynamics","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Kinematics; Parameterized complexity; Multibody system; Path (computing); Mathematics; Ordinary differential equation; Spline (mechanical); Motion planning; Reduction (mathematics); Planar; Computer science; Differential equation; Mathematical analysis; Algorithm; Geometry; Artificial intelligence; Classical mechanics; Robot; Physics","score_opus":0.007392424239182817,"score_gpt":0.23941471570139858,"score_spread":0.23202229146221576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979560700","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0891824,0.000010863673,0.9089778,0.000013274742,0.000028363038,0.00012539716,0.0000022854115,0.00034322758,0.0013164033],"genre_scores_gemma":[0.87387955,0.0000032431456,0.12599327,0.000011730017,0.000015998092,0.000023744664,0.000017561031,0.00001826816,0.000036646386],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995218,0.0000047112026,0.00020488254,0.00008053614,0.000071326,0.00011672491],"domain_scores_gemma":[0.9997346,0.00004996205,0.000028243774,0.0001326227,0.000027680617,0.000026927963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000083674626,0.00007836685,0.00018798061,0.000058747635,0.000017157885,0.0000042397696,0.000051223135,0.000040570343,0.000004605096],"category_scores_gemma":[0.00005751959,0.00006915875,0.00013538274,0.000106828404,0.0000050758595,0.00008661708,0.000010947857,0.000034943594,0.0000017753648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018939623,0.00012408833,0.0055603934,0.00049391383,0.00032296265,6.830156e-7,0.00033707087,0.17947926,0.36286265,0.13306127,0.00026365006,0.31747514],"study_design_scores_gemma":[0.00011903732,0.000028717059,0.00053677143,0.000013136562,0.000019955352,1.4415404e-7,0.000012341818,0.9631937,0.030128699,0.0056184023,0.00024055305,0.00008851383],"about_ca_topic_score_codex":0.000010403338,"about_ca_topic_score_gemma":0.000009449198,"teacher_disagreement_score":0.7846972,"about_ca_system_score_codex":0.0000476844,"about_ca_system_score_gemma":0.0000013359578,"threshold_uncertainty_score":0.2820212},"labels":[],"label_agreement":null},{"id":"W1980128197","doi":"10.1007/s00170-006-0529-z","title":"An improved tool path discretization method for five-axis sculptured surface machining","year":2006,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Machining; Discretization; Bézier curve; Surface (topology); Path (computing); Machine tool; Geometry; Computer science; Algorithm; Mathematics; Mechanical engineering; Engineering; Mathematical analysis","score_opus":0.0037165301931155787,"score_gpt":0.26490495181875007,"score_spread":0.2611884216256345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980128197","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.282714,0.00017863182,0.7155254,0.0008192958,0.0002436367,0.0001447067,0.000013649192,0.00031530947,0.00004535535],"genre_scores_gemma":[0.5871765,0.000045756486,0.4125421,0.000042557924,0.00009956247,0.000011452272,0.0000134160355,0.000030732466,0.00003792515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987489,0.000026596652,0.0005564797,0.00017968085,0.00025429684,0.00023404536],"domain_scores_gemma":[0.99897534,0.00015213243,0.00034050722,0.00026834296,0.00023373545,0.000029947187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000304039,0.00020315305,0.000298664,0.00026553802,0.00008144522,0.000046137706,0.00096554845,0.00012088188,0.000010693841],"category_scores_gemma":[0.00009576725,0.00015028745,0.00014757417,0.00013885439,0.00006015501,0.00039473816,0.000069773356,0.00037293136,9.957736e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100126796,0.000036120175,0.000058166745,0.000009202813,0.0001312401,0.0000080097825,0.000036953163,0.6170207,0.31901416,0.0019950639,0.000101441554,0.061488785],"study_design_scores_gemma":[0.000609334,0.00016227702,0.0002848306,0.00004238978,0.00004798144,0.00008538324,0.00011451884,0.12836897,0.7747123,0.09162865,0.003713655,0.00022966275],"about_ca_topic_score_codex":0.000015027707,"about_ca_topic_score_gemma":0.000014101031,"teacher_disagreement_score":0.48865175,"about_ca_system_score_codex":0.00019218396,"about_ca_system_score_gemma":0.00001361906,"threshold_uncertainty_score":0.6128544},"labels":[],"label_agreement":null},{"id":"W1980668895","doi":"10.1145/2231816.2231822","title":"Simple formulas for quasiconformal plane deformations","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Computing and Communication Foundations; Natural Sciences and Engineering Research Council of Canada","keywords":"Image warping; Conformal map; Distortion (music); Simple (philosophy); Point (geometry); Deformation (meteorology); Planar; Mathematics; Boundary (topology); Domain (mathematical analysis); Plane (geometry); Geometry; Interpolation (computer graphics); Mathematical analysis; Computer science; Image (mathematics); Computer graphics (images)","score_opus":0.018233954869093884,"score_gpt":0.26530342557029424,"score_spread":0.24706947070120036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980668895","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009121285,0.000053281587,0.98924685,0.000074371696,0.00010620404,0.00021151415,0.00009845183,0.0007018324,0.00038620108],"genre_scores_gemma":[0.97403497,0.00011849889,0.025333071,0.00016591036,0.00004185633,0.00018776073,0.000066428416,0.00003007683,0.000021419004],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992315,0.0000057030643,0.00023065602,0.00007553929,0.00011685973,0.0003397426],"domain_scores_gemma":[0.9993463,0.0001430757,0.000025876445,0.0003353972,0.000036225952,0.00011308697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008396445,0.00014453157,0.00014940649,0.00021346507,0.00018600744,0.0000143490715,0.00016681901,0.00009237029,0.000043662254],"category_scores_gemma":[0.00001603933,0.00013705606,0.00016520104,0.0003638485,0.000029764864,0.00057009194,0.0000020427176,0.00019114892,0.000023046694],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026296053,0.001836716,0.0026852656,0.00087330514,0.0019019862,0.0000019107931,0.0035701303,0.31846505,0.007495732,0.075023085,0.009162014,0.5787218],"study_design_scores_gemma":[0.002106466,0.00077514537,0.0029106017,0.00006357969,0.00075016625,0.000051883308,0.00076690945,0.1928067,0.1776803,0.09166641,0.5280633,0.00235855],"about_ca_topic_score_codex":0.00000548817,"about_ca_topic_score_gemma":0.000023842018,"teacher_disagreement_score":0.96491367,"about_ca_system_score_codex":0.00003814743,"about_ca_system_score_gemma":0.000004474422,"threshold_uncertainty_score":0.5588984},"labels":[],"label_agreement":null},{"id":"W1982316916","doi":"10.1504/ijmr.2006.011355","title":"Tool path planning for 3-axis machining","year":2006,"lang":"en","type":"article","venue":"International Journal of Manufacturing Research","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Orientation (vector space); Tool path; Machine tool; Mechanical engineering; Surface (topology); Flexibility (engineering); Computer science; Engineering drawing; Engineering; Geometry; Mathematics","score_opus":0.034673836909393525,"score_gpt":0.37272348530112503,"score_spread":0.3380496483917315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982316916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7559339,0.00043498212,0.24031894,0.00029390183,0.000364094,0.000114285845,0.000011647071,0.000111211244,0.0024170359],"genre_scores_gemma":[0.978291,0.000023748355,0.020746,0.000013530374,0.0007363029,0.000010122343,0.000005495073,0.00002742978,0.00014637812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99835587,0.00003120738,0.0004278799,0.00010472166,0.0008123137,0.00026803248],"domain_scores_gemma":[0.99901694,0.0004165651,0.00008824395,0.000094631425,0.0003362814,0.000047319692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082193135,0.000100950914,0.00016980073,0.0005020002,0.00006435543,0.000092291026,0.0005204149,0.000049533486,0.000041614443],"category_scores_gemma":[0.00013741039,0.000088950146,0.00013969025,0.0000753363,0.000037091642,0.00018278463,0.00006169706,0.00046363485,0.0000058922697],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042701885,0.00018608115,0.004147655,0.00012222155,0.0007122077,0.000576388,0.00038219788,0.6214474,0.039473876,0.0014167983,0.02554636,0.30556178],"study_design_scores_gemma":[0.0012348442,0.00027287193,0.01460181,0.00041962095,0.000026102804,0.00021419447,0.00017707747,0.027407948,0.79366875,0.06049046,0.101040915,0.00044540872],"about_ca_topic_score_codex":0.000016568534,"about_ca_topic_score_gemma":0.0000010495885,"teacher_disagreement_score":0.75419486,"about_ca_system_score_codex":0.00024042434,"about_ca_system_score_gemma":0.000018186647,"threshold_uncertainty_score":0.36272815},"labels":[],"label_agreement":null},{"id":"W1983352287","doi":"10.1007/s11868-011-0043-4","title":"Localization operators for curvelet transforms","year":2011,"lang":"en","type":"article","venue":"Journal of Pseudo-Differential Operators and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Curvelet; Artificial intelligence; Mathematics; Computer science; Psychology; Wavelet transform; Wavelet","score_opus":0.012387519411628745,"score_gpt":0.24147326851561035,"score_spread":0.2290857491039816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983352287","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07683252,0.00017482831,0.92242324,0.000023930681,0.000055358993,0.00027321218,0.00001752813,0.00006297695,0.00013642549],"genre_scores_gemma":[0.9841119,0.00048105596,0.015023324,0.000040603176,0.00017691345,0.00010697884,0.00000945762,0.00003143813,0.000018344504],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99916196,0.000011313036,0.00045812214,0.00011154043,0.00010903411,0.00014801888],"domain_scores_gemma":[0.99949324,0.000018634311,0.00008106243,0.00011067838,0.00016469917,0.00013167402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000080309874,0.00014699514,0.00026985223,0.000121508274,0.00011190072,0.00003592375,0.00014935936,0.00007433091,0.00006514762],"category_scores_gemma":[0.0000068383138,0.00011251523,0.000116054085,0.00022315898,0.00004707789,0.00023095863,0.0000102707645,0.00012658154,0.0000017818866],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038431934,0.0020801134,0.009326182,0.0009349674,0.0021312055,0.000012454542,0.0047127167,0.013118571,0.27100936,0.12420927,0.010372864,0.561708],"study_design_scores_gemma":[0.004510409,0.0015288071,0.0035489085,0.00023331371,0.0013284199,0.00015766438,0.0010049271,0.14313011,0.63637704,0.030856125,0.17500457,0.0023197285],"about_ca_topic_score_codex":0.0000038508356,"about_ca_topic_score_gemma":0.0000037728894,"teacher_disagreement_score":0.9073999,"about_ca_system_score_codex":0.000028684059,"about_ca_system_score_gemma":0.000014238997,"threshold_uncertainty_score":0.45882377},"labels":[],"label_agreement":null},{"id":"W1984444988","doi":"10.1002/nme.3157","title":"A novel hole patching algorithm for discrete geometry using non‐uniform rational B‐spline","year":2011,"lang":"en","type":"article","venue":"International Journal for Numerical Methods in Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tellabs (Canada)","funders":"University of Alabama at Birmingham; National Aeronautics and Space Administration","keywords":"Algorithm; Parametric surface; Surface (topology); Robustness (evolution); Triangulation; Parametric equation; Parametric statistics; Subdivision; Geometry; Mathematics; Geometric design; Computer science; Engineering","score_opus":0.042092042678097484,"score_gpt":0.3839740011164949,"score_spread":0.3418819584383974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984444988","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010404717,0.00010446737,0.9966846,0.000032297354,0.0015917677,0.00027639145,0.00006506712,0.00015579085,0.000049130897],"genre_scores_gemma":[0.023638487,0.00003534308,0.97540146,0.00005014195,0.00061573583,0.00011423612,0.000022936098,0.00010182266,0.000019821553],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981465,0.000018711451,0.0007933185,0.0002654558,0.00031924667,0.00045680362],"domain_scores_gemma":[0.99884933,0.0004568041,0.00014651261,0.00013559658,0.00024465975,0.00016707828],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007759494,0.00030750607,0.00043816815,0.00061881647,0.00007836508,0.00006942254,0.00051082636,0.0001274913,0.000029930237],"category_scores_gemma":[0.00043982564,0.00030275475,0.00033727562,0.00040340796,0.000024369061,0.00052014063,0.00007717564,0.0004947235,9.69942e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048094684,0.000094978626,0.00007975347,0.000034673787,0.000326509,0.000012377369,0.0001802136,0.7212632,0.06954034,0.00052519,0.000022933495,0.20787175],"study_design_scores_gemma":[0.0006391548,0.000063242194,0.00012322959,0.00009562575,0.000035611265,0.000097100215,0.000032758566,0.9712272,0.022414058,0.0029460946,0.001966939,0.00035893373],"about_ca_topic_score_codex":0.000015359024,"about_ca_topic_score_gemma":6.274944e-7,"teacher_disagreement_score":0.24996406,"about_ca_system_score_codex":0.0004442938,"about_ca_system_score_gemma":0.000023802262,"threshold_uncertainty_score":0.9999425},"labels":[],"label_agreement":null},{"id":"W1985104242","doi":"10.1016/j.cagd.2010.06.002","title":"Complex Bézier curves and the geometry of polygons","year":2010,"lang":"en","type":"article","venue":"Computer Aided Geometric Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Ministry of Education, Culture, Sports, Science and Technology","keywords":"Mathematics; Geometry; Bézier curve; Polygon (computer graphics); Regular polygon; Computational geometry; Combinatorics; Computer science","score_opus":0.015489426315391786,"score_gpt":0.23029402797520582,"score_spread":0.21480460165981402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985104242","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007456501,0.001957002,0.9893227,0.00015693398,0.00014777156,0.00026355035,0.0000045852344,0.00031606678,0.00037486726],"genre_scores_gemma":[0.7948933,0.0006399992,0.2040299,0.00025610786,0.000088375884,0.000021592172,0.000004337256,0.000027826129,0.00003851739],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998906,0.0000645643,0.00035086536,0.00020327239,0.00022793504,0.00024733477],"domain_scores_gemma":[0.998248,0.0010704279,0.000075154254,0.0004347633,0.00008207978,0.00008962101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050705805,0.00018892792,0.00043935367,0.0006957442,0.00005889573,0.000027859072,0.00038163792,0.00007155204,0.00008544496],"category_scores_gemma":[0.00017174418,0.0001325925,0.00010830734,0.002822933,0.00028366232,0.00011616481,0.00012362792,0.00033062062,0.000011398319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008711576,0.000218215,0.0017698951,0.00061369163,0.0008392616,0.000017083243,0.00020449322,0.023927938,0.021163145,0.0051740445,0.07842822,0.8675569],"study_design_scores_gemma":[0.0033240453,0.00036126288,0.044938393,0.00017894013,0.00040023745,0.00011790491,0.000019819016,0.87242234,0.035066202,0.018071996,0.023699962,0.0013988981],"about_ca_topic_score_codex":0.000012864849,"about_ca_topic_score_gemma":7.772703e-7,"teacher_disagreement_score":0.866158,"about_ca_system_score_codex":0.00001193153,"about_ca_system_score_gemma":0.0000073331007,"threshold_uncertainty_score":0.54069656},"labels":[],"label_agreement":null},{"id":"W1986752736","doi":"10.1117/12.417239","title":"&lt;title&gt;Adaptive reconstruction of closed Bezier surfaces&lt;/title&gt;","year":2001,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Bézier curve; Basis function; Bernstein polynomial; Artificial neural network; Polynomial; Surface (topology); Nonlinear system; Computer science; Parametric statistics; Network architecture; Basis (linear algebra); Topology (electrical circuits); Radial basis function; Parametric surface; Bézier surface; Backpropagation; Function (biology); Algorithm; Mathematics; Applied mathematics; Mathematical analysis; Geometry; Artificial intelligence; Combinatorics","score_opus":0.009963647802593808,"score_gpt":0.22311430053399361,"score_spread":0.2131506527313998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986752736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9530176,0.00019252516,0.00062813447,0.00019197533,0.00020569343,0.00020969198,0.000028201073,0.0001893495,0.04533682],"genre_scores_gemma":[0.7712214,0.00063104014,0.22641428,0.000030526196,0.00038735662,0.00006409909,0.000011107939,0.00010013781,0.0011400235],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988476,1.3359841e-8,0.00041504006,0.00018889464,0.00033873,0.00020971464],"domain_scores_gemma":[0.99909997,0.00005107528,0.00015800107,0.00004706498,0.00058364216,0.00006024592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017505253,0.00019049249,0.00030044236,0.0000879331,0.000026290207,0.000020547754,0.00035808946,0.00014137429,0.000115873765],"category_scores_gemma":[0.00012444847,0.00016815733,0.00034880714,0.00031748536,0.00014177224,0.00023384379,0.000051559266,0.00018930792,0.000011220961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043092936,0.00006837055,0.00016829681,0.0002532247,0.0005786358,1.6628798e-7,0.000068168374,0.0007495538,0.69016,0.2879107,0.012014451,0.0079853535],"study_design_scores_gemma":[0.0012934422,0.0004971038,0.0009889678,0.00073109055,0.0005093075,0.000062334926,0.0005294006,0.3242096,0.5114186,0.016919442,0.14158426,0.0012564916],"about_ca_topic_score_codex":0.0000016079201,"about_ca_topic_score_gemma":8.617695e-8,"teacher_disagreement_score":0.32346004,"about_ca_system_score_codex":0.000115291696,"about_ca_system_score_gemma":0.000010423519,"threshold_uncertainty_score":0.6857257},"labels":[],"label_agreement":null},{"id":"W1986784032","doi":"10.1007/bf02510421","title":"L p solutions of refinement equations","year":2001,"lang":"en","type":"article","venue":"Journal of Fourier Analysis and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Constructive; Stability (learning theory); Norm (philosophy); Applied mathematics; Partial differential equation; Spectral radius; Function (biology); Mathematical analysis; Eigenvalues and eigenvectors; Computer science","score_opus":0.012500410613645825,"score_gpt":0.25846678995339994,"score_spread":0.24596637933975413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986784032","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003541311,0.00066254823,0.99391174,0.00025004716,0.000005365559,0.000047687266,0.000006575544,0.000023357603,0.0015513779],"genre_scores_gemma":[0.96091205,0.0012565984,0.037583545,0.000018353483,0.00006519519,0.000023048036,0.000005945084,0.0000074247623,0.00012786759],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991844,0.000011580594,0.0004850996,0.000064434826,0.00015919015,0.0000952736],"domain_scores_gemma":[0.99932224,0.000063044936,0.00018428243,0.00017466067,0.00018160866,0.00007415643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016904913,0.000070484275,0.0002705904,0.0003991021,0.00006866366,0.000010589374,0.00010130684,0.000027663922,0.00008422078],"category_scores_gemma":[0.000018320075,0.00006012652,0.00021777132,0.001417387,0.0000442991,0.00009158837,0.000015142392,0.00009047361,0.0000015581634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019855548,0.0007634436,0.011892181,0.000065334214,0.009838581,0.0000065985637,0.00032860186,0.30599433,0.02806984,0.067347206,0.0028629017,0.5728111],"study_design_scores_gemma":[0.0010004262,0.00028070286,0.023284262,0.00006723101,0.018100439,0.00006272643,0.0005553398,0.5674948,0.0073538674,0.07571392,0.3051489,0.00093736965],"about_ca_topic_score_codex":0.000006665831,"about_ca_topic_score_gemma":0.000017892768,"teacher_disagreement_score":0.9573707,"about_ca_system_score_codex":0.000026419671,"about_ca_system_score_gemma":0.000008451775,"threshold_uncertainty_score":0.24518883},"labels":[],"label_agreement":null},{"id":"W1987113397","doi":"10.1145/1857907.1857911","title":"ℓ <sub>1</sub> -Sparse reconstruction of sharp point set surfaces","year":2010,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":215,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Tel Aviv University; University of Pennsylvania","keywords":"Piecewise; Maxima and minima; Solver; Surface reconstruction; Algorithm; Point cloud; Set (abstract data type); Computer science; Point (geometry); Mathematics; Surface (topology); Interior point method; Mathematical optimization; Artificial intelligence; Geometry; Mathematical analysis","score_opus":0.012428119804648967,"score_gpt":0.23411983436440023,"score_spread":0.22169171455975126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987113397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6990651,0.00002884246,0.29965156,0.0001322331,0.00027267414,0.00010945281,0.000051913332,0.0005548611,0.00013338777],"genre_scores_gemma":[0.979586,0.00062366336,0.019668708,0.000032163924,0.000017430113,0.00002613907,0.000007898063,0.000034074135,0.0000038917233],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991112,0.000018856683,0.00031110286,0.00019921306,0.00017220044,0.00018742718],"domain_scores_gemma":[0.9991142,0.000113901515,0.00005812586,0.0005640025,0.00006999469,0.000079759746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113526476,0.00017671281,0.00023445813,0.00030737012,0.000083051214,0.0000122676165,0.00021940358,0.00016658899,0.000060945447],"category_scores_gemma":[0.000029340239,0.00017954929,0.0001819013,0.0007254255,0.00014235012,0.00023435106,0.0000033821982,0.00060117344,0.000011980306],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002144267,0.00010373792,0.00032283377,0.00005948588,0.00017767427,0.000002168616,0.00011040003,0.02162433,0.820701,0.00045172792,0.000113544105,0.15631165],"study_design_scores_gemma":[0.00015531955,0.00006886612,0.0007307692,0.00003005339,0.00008232396,0.00002182378,0.00005025868,0.011181673,0.97321606,0.013660587,0.0005368246,0.00026545476],"about_ca_topic_score_codex":0.00001424266,"about_ca_topic_score_gemma":0.00020313695,"teacher_disagreement_score":0.28052098,"about_ca_system_score_codex":0.00001820705,"about_ca_system_score_gemma":0.000008636174,"threshold_uncertainty_score":0.7321808},"labels":[],"label_agreement":null},{"id":"W1987370452","doi":"10.1145/2816795.2818074","title":"Generalized cylinder decomposition","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Simon Fraser University","funders":"Science and Technology Planning Project of Guangdong Province; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Measure (data warehouse); Cylinder; Decomposition; Mathematics; Completeness (order theory); Simple (philosophy); Function (biology); Mathematical optimization; Algorithm; Geometry; Computer science; Mathematical analysis","score_opus":0.02928014606069639,"score_gpt":0.2919500218925135,"score_spread":0.2626698758318171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987370452","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022555398,0.000092508635,0.97529763,0.00027441417,0.00012543322,0.00007860825,0.0000074996237,0.0009809323,0.0005875818],"genre_scores_gemma":[0.93401474,0.0002286727,0.065310545,0.0002861748,0.000026151009,0.000044809465,0.000012335237,0.000032504413,0.00004406062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99936557,0.000021108288,0.0001595546,0.00013322968,0.00016895343,0.00015161157],"domain_scores_gemma":[0.9994075,0.00003709508,0.0000151448785,0.00036687206,0.0000556617,0.000117746415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006392048,0.00012687352,0.00013670117,0.000275105,0.000059296213,0.000015328384,0.00015903432,0.00008726985,0.000031426607],"category_scores_gemma":[0.000008614497,0.00012557738,0.000108257715,0.0006820875,0.000033803466,0.00013367987,0.0000017549283,0.00021633045,0.000034195367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012717661,0.0005458767,0.00023269987,0.00005162005,0.00062057027,0.000024510451,0.0004787818,0.8357624,0.013804123,0.0077137775,0.004115197,0.1365233],"study_design_scores_gemma":[0.0032037983,0.00066365773,0.00076871447,0.00008777606,0.00055125094,0.00006681129,0.00020257385,0.3012393,0.25748312,0.35052145,0.08300191,0.0022096352],"about_ca_topic_score_codex":0.00000862715,"about_ca_topic_score_gemma":0.000017048846,"teacher_disagreement_score":0.9114593,"about_ca_system_score_codex":0.00005366738,"about_ca_system_score_gemma":0.0000065281215,"threshold_uncertainty_score":0.51208967},"labels":[],"label_agreement":null},{"id":"W1988220009","doi":"10.1007/s10898-010-9623-8","title":"Geometric fit of a point set by generalized circles","year":2010,"lang":"en","type":"article","venue":"Journal of Global Optimization","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada; Group for Research in Decision Analysis","funders":"","keywords":"Mathematics; Unit circle; Norm (philosophy); Combinatorics; Scaling; Set (abstract data type); Circumference; Finite set; Point (geometry); Plane (geometry); Discrete mathematics; Geometry; Mathematical analysis","score_opus":0.006188047130667235,"score_gpt":0.24861229360679407,"score_spread":0.24242424647612684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988220009","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11122939,0.00033437487,0.8878036,0.00009135347,0.0001276697,0.000042549,0.0000203802,0.0000519577,0.00029873563],"genre_scores_gemma":[0.7665564,0.00028237473,0.2330659,0.000026692518,0.000046055833,8.0095765e-7,0.0000057419406,0.000009906623,0.0000061194764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916273,0.000014413274,0.00044461887,0.00005749068,0.00021630095,0.000104472005],"domain_scores_gemma":[0.9993484,0.000020521331,0.00025022926,0.000100568766,0.00020872803,0.000071567694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013164963,0.00008861755,0.00024930158,0.00012098705,0.000014854907,0.0000142119325,0.00014269199,0.00007293912,0.0000933589],"category_scores_gemma":[0.00013233758,0.0000793951,0.00011004295,0.0008337504,0.000023133985,0.00023472347,0.000014657186,0.00013928891,0.0000011651384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013546219,0.00003434919,0.00070771255,0.000011009829,0.00005703577,0.000002264986,0.000006832811,0.97804314,0.011623796,0.000067278255,0.0051751304,0.004257933],"study_design_scores_gemma":[0.0014356463,0.0003319754,0.0019058285,0.000060336624,0.00023820394,0.00016069548,0.000033895292,0.939572,0.048092417,0.0023335891,0.005361711,0.00047371842],"about_ca_topic_score_codex":0.0000070073756,"about_ca_topic_score_gemma":0.0000018336364,"teacher_disagreement_score":0.655327,"about_ca_system_score_codex":0.00007591309,"about_ca_system_score_gemma":0.000011552451,"threshold_uncertainty_score":0.32376382},"labels":[],"label_agreement":null},{"id":"W1988886319","doi":"10.1007/s00366-012-0295-5","title":"An efficient, accurate approach to medial axis transforms of pockets with closed free-form boundaries","year":2012,"lang":"en","type":"article","venue":"Engineering With Computers","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Medial axis; Polygon (computer graphics); Solver; Domain (mathematical analysis); Representation (politics); Bounded function; Computation; Computer science; Algorithm; Geometry; Topology (electrical circuits); Mathematics; Mathematical optimization; Mathematical analysis; Combinatorics","score_opus":0.005235463237301227,"score_gpt":0.20084155111059096,"score_spread":0.19560608787328973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988886319","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2975194,0.000042787917,0.70128745,0.000011452194,0.00011336835,0.00019519695,0.000008442839,0.00067803607,0.00014389944],"genre_scores_gemma":[0.7347306,0.0000020689376,0.2650692,0.000012661514,0.00007876332,0.00003358638,0.000013491924,0.000057796507,0.0000018547834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987107,0.000007587234,0.00025649322,0.00020943493,0.00031243227,0.0005033634],"domain_scores_gemma":[0.9991657,0.000044706972,0.000036156554,0.0004227654,0.000045120694,0.00028551274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011539862,0.00031030813,0.0003919178,0.0002250734,0.000053847452,0.000049874405,0.00035606654,0.00006406045,0.0000028860761],"category_scores_gemma":[0.000010679569,0.00023171527,0.00005546147,0.000620451,0.00007479499,0.000329273,0.000026596032,0.0001938031,0.0000019528154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043381842,0.00008131804,0.00017492264,0.00010684962,0.000110716166,0.0000016460492,0.001971969,0.9917746,0.0029376952,0.00041991193,0.00006948196,0.0023074816],"study_design_scores_gemma":[0.00094254984,0.0005925764,0.005317911,0.00016346874,0.000089832014,0.000030953648,0.000103375394,0.94389546,0.04461079,0.000020080812,0.0032581836,0.0009748439],"about_ca_topic_score_codex":0.000011707619,"about_ca_topic_score_gemma":0.0000029228283,"teacher_disagreement_score":0.4372112,"about_ca_system_score_codex":0.00008172067,"about_ca_system_score_gemma":0.000014852556,"threshold_uncertainty_score":0.9449074},"labels":[],"label_agreement":null},{"id":"W1989495809","doi":"10.1109/icpr.2010.547","title":"Geodesic Thin Plate Splines for Image Segmentation","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Thin plate spline; Spline (mechanical); Geodesic; Mathematics; Point (geometry); Geometry; Segmentation; Computer vision; Artificial intelligence; Computer science; Mathematical analysis; Physics; Spline interpolation","score_opus":0.006373553298029428,"score_gpt":0.26380770035589085,"score_spread":0.25743414705786144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989495809","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06145221,0.0000074448662,0.93556535,0.00006561428,0.00007035771,0.00013148933,0.0000034757304,0.00083130976,0.0018727302],"genre_scores_gemma":[0.28030142,0.000010404615,0.7189955,0.00005728749,0.00006569035,0.000061176004,0.000018185083,0.00002139137,0.0004689181],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996614,0.000001543791,0.000106822095,0.000081548365,0.000045813078,0.00010289892],"domain_scores_gemma":[0.99980175,0.000033841803,0.000012515523,0.00010018096,0.000024464325,0.000027251892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000044025248,0.00007026815,0.00008045332,0.000036187237,0.000023508645,0.0000148651525,0.000060198054,0.00003377995,0.00011303973],"category_scores_gemma":[0.000016505406,0.000058951005,0.00004204367,0.00007414664,0.000013282566,0.00015252901,0.000007724039,0.00007389106,0.000025459056],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029114592,0.000008139402,0.00003751391,0.000019561803,0.000016030193,5.181947e-7,0.00002219897,0.002252819,0.97827584,0.0009984977,0.0020198291,0.016346117],"study_design_scores_gemma":[0.00010563854,0.000012344536,0.00009616994,0.0000018132896,0.000013719377,0.0000011298056,0.0000134857455,0.24627034,0.7407956,0.009531736,0.0030322822,0.00012570884],"about_ca_topic_score_codex":0.0000055468713,"about_ca_topic_score_gemma":0.00002202815,"teacher_disagreement_score":0.24401753,"about_ca_system_score_codex":0.0000093195085,"about_ca_system_score_gemma":0.0000013994444,"threshold_uncertainty_score":0.24039522},"labels":[],"label_agreement":null},{"id":"W1991948081","doi":"10.4153/cmb-2003-015-9","title":"The Ramification Polygon for Curves over a Finite Field","year":2003,"lang":"en","type":"article","venue":"Canadian Mathematical Bulletin","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mathematics; Ramification; Polygon (computer graphics); Pure mathematics; Newton polygon; Point (geometry); Field (mathematics); Geometry","score_opus":0.0067688500944865565,"score_gpt":0.22203712518173851,"score_spread":0.21526827508725196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991948081","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016082076,0.002094819,0.9406452,0.012578639,0.00009912428,0.0008826708,0.000023398632,0.0004063285,0.04166162],"genre_scores_gemma":[0.9531906,0.00072918995,0.03344667,0.005672523,0.00009973324,0.0008251477,0.0000227911,0.000116559,0.005896789],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99930936,0.000019437213,0.00019722006,0.00010835985,0.000079641024,0.00028600235],"domain_scores_gemma":[0.99871176,0.00080765504,0.000019943114,0.0002507665,0.000029574498,0.00018031705],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018946412,0.000104064784,0.00013237413,0.000040329574,0.00011186625,0.0000307263,0.00013818538,0.000059714053,0.0014037946],"category_scores_gemma":[0.0013358906,0.00007865094,0.00007519277,0.0001195391,0.000033674627,0.000016927634,0.0000039201473,0.00010272802,0.00044686729],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000077927325,0.00003414439,0.000033009648,0.00059198216,0.000108751716,0.0000059008694,0.00009890318,0.0004693647,0.0005890224,0.3919291,0.5873825,0.018749544],"study_design_scores_gemma":[0.00006951536,0.000021083728,0.000012689589,0.00007230541,0.000022007438,0.0000021715296,0.000019538022,0.006713142,0.0026393996,0.06290191,0.9273598,0.00016639904],"about_ca_topic_score_codex":0.00006136058,"about_ca_topic_score_gemma":0.0002687322,"teacher_disagreement_score":0.9515824,"about_ca_system_score_codex":0.000074191106,"about_ca_system_score_gemma":0.000020949601,"threshold_uncertainty_score":0.99950904},"labels":[],"label_agreement":null},{"id":"W1992194971","doi":"10.1145/1364901.1364945","title":"Mitered offset of a mesh using QEM and vertex split","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Army Research Office; Division of Civil, Mechanical and Manufacturing Innovation; North Carolina State University; National Science Foundation","keywords":"Offset (computer science); Vertex (graph theory); Computation; Algorithm; Triangle mesh; Computer science; Machining; Polygon mesh; Geometry; Mathematics; Topology (electrical circuits); Combinatorics; Graph; Engineering; Mechanical engineering","score_opus":0.0190619946907304,"score_gpt":0.22617157705944307,"score_spread":0.20710958236871269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992194971","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81330055,0.00017026695,0.18467477,0.000008640903,0.000009397513,0.00003834618,0.0000020807925,0.00021626032,0.0015796832],"genre_scores_gemma":[0.9343578,0.00009281696,0.06544569,0.000016160677,0.0000051542775,0.0000012124353,0.000001303643,0.000009259451,0.000070592876],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996638,0.000003865677,0.00012158992,0.000071180475,0.000059539278,0.00008007075],"domain_scores_gemma":[0.9998243,0.000015869215,0.000013138385,0.00010096359,0.000014967744,0.000030791805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000015916812,0.0000618541,0.00014247044,0.000047065154,0.000015150065,0.000001909219,0.000038463328,0.000026905194,0.000048087903],"category_scores_gemma":[0.000007488785,0.00005435261,0.000029917564,0.00013164392,0.00003336663,0.00006758568,0.000017871325,0.000037195947,0.0000018512067],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003962206,0.00014774135,0.025362123,0.00035344565,0.0004391345,0.000069073685,0.00093598943,0.013814841,0.883816,0.0038517888,0.0072537097,0.06391656],"study_design_scores_gemma":[0.00033267596,0.000055222372,0.005436856,0.00004106155,0.00004447779,0.000066259476,0.00004358819,0.7666618,0.22046371,0.002569709,0.003898931,0.00038571062],"about_ca_topic_score_codex":0.000019641211,"about_ca_topic_score_gemma":0.0000018781915,"teacher_disagreement_score":0.75284696,"about_ca_system_score_codex":0.000013997673,"about_ca_system_score_gemma":0.0000019094882,"threshold_uncertainty_score":0.22164351},"labels":[],"label_agreement":null},{"id":"W1992943775","doi":"10.1115/detc2009-87638","title":"An Object-Space Based Machining Simulation in Milling: Part 2 — By Toroidal Surface","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"End mill; Fillet (mechanics); Machining; Geometry; Torus; Toroid; Cartesian coordinate system; Envelope (radar); Parametric surface; Mathematics; Mathematical analysis; Engineering drawing; Computer science; Mechanical engineering; Engineering; Parametric statistics; Physics","score_opus":0.0073572165689303505,"score_gpt":0.26477836677930744,"score_spread":0.2574211502103771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992943775","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2665284,0.00013820619,0.7302554,0.00008711647,0.000018293513,0.00008411639,0.0000020032328,0.0009647006,0.0019217501],"genre_scores_gemma":[0.96507186,0.000011576154,0.034650862,0.00013790237,0.00001974614,0.000001990135,0.000025354195,0.000017556686,0.00006317449],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992802,0.000026003327,0.00019238533,0.00017677888,0.00012219201,0.00020243003],"domain_scores_gemma":[0.99965155,0.00006309842,0.00002025419,0.00018223815,0.000015850945,0.00006701328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009767617,0.00013187816,0.00016573076,0.00005143948,0.000024266317,0.000020256566,0.00009188601,0.00006407317,0.000071014714],"category_scores_gemma":[0.000018612309,0.0001306983,0.000035881883,0.0002675903,0.000007723956,0.0002150742,0.0000036927938,0.0001305704,0.0000066921366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004818215,0.000026887936,0.0007751799,0.0000022241302,0.000002395269,0.0000012829869,0.000027875352,0.95064646,0.043219734,0.000024254065,0.00020115494,0.0050677485],"study_design_scores_gemma":[0.0001205565,0.000061108454,0.00030948504,0.000007487311,0.0000037883344,9.076619e-8,0.000014103798,0.94475085,0.052112695,0.0001854305,0.0022650685,0.0001693455],"about_ca_topic_score_codex":0.00003488173,"about_ca_topic_score_gemma":0.000025276364,"teacher_disagreement_score":0.6985434,"about_ca_system_score_codex":0.00007983205,"about_ca_system_score_gemma":0.0000036359495,"threshold_uncertainty_score":0.53297216},"labels":[],"label_agreement":null},{"id":"W1993391432","doi":"10.1145/1005285.1005290","title":"Numerical parameterization of affine varieties using","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Ode; Ordinary differential equation; Affine transformation; Numerical analysis; Initial value problem; Visualization; Mathematics; Applied mathematics; Maple; Riemann hypothesis; Work (physics); Computer science; Differential equation; Mathematical analysis; Pure mathematics; Artificial intelligence; Physics","score_opus":0.011049556442772647,"score_gpt":0.23498950828232873,"score_spread":0.2239399518395561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993391432","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06316744,0.000030657837,0.93510723,0.000014178779,0.000017167797,0.00003288521,5.080918e-7,0.000349501,0.0012804099],"genre_scores_gemma":[0.79342955,0.00001257061,0.20650981,0.00001271622,0.000010104874,0.0000019379713,0.0000021226413,0.0000106871275,0.000010522123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996099,0.0000039635756,0.00015439738,0.00006575225,0.000079446705,0.00008657697],"domain_scores_gemma":[0.9998253,0.000011068973,0.000019112218,0.000099530225,0.000022047352,0.000022928436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001876447,0.00006754838,0.00013508038,0.000049316528,0.000011269407,0.0000045258635,0.000051755465,0.00003201097,0.00006233251],"category_scores_gemma":[0.000015579719,0.000060169095,0.000038312428,0.0002770731,0.000023496163,0.00009007146,0.000009710665,0.00004133279,0.0000032885655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021285757,0.000020080462,0.000087701956,0.000018194682,0.000018813025,6.9343463e-7,0.000031026084,0.8883324,0.10586402,0.002985862,0.0000070277883,0.0026320352],"study_design_scores_gemma":[0.00014575534,0.00005287767,0.00021310186,0.000015775651,0.000025334879,0.0000038730614,0.000018446884,0.26372132,0.7186034,0.016647076,0.00035805177,0.0001950244],"about_ca_topic_score_codex":0.000034085282,"about_ca_topic_score_gemma":6.343044e-7,"teacher_disagreement_score":0.7302621,"about_ca_system_score_codex":0.000039385097,"about_ca_system_score_gemma":0.000003828481,"threshold_uncertainty_score":0.24536246},"labels":[],"label_agreement":null},{"id":"W1993435734","doi":"10.1109/ccece.2006.277585","title":"Analysis of Product-Separable Discrete Filters with Feedbacks for Variable Characteristics","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Multiplier (economics); Mathematics; Cascade; Variable (mathematics); Digital filter; Filter (signal processing); Separable space; Polynomial; Algorithm; Applied mathematics; Computer science; Control theory (sociology); Mathematical analysis; Artificial intelligence; Computer vision; Engineering","score_opus":0.003540097375327854,"score_gpt":0.2097550195602009,"score_spread":0.20621492218487306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993435734","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02707754,0.000036577574,0.9671104,0.000022505761,0.00001508924,0.0001937313,0.00007049644,0.0003376369,0.0051360037],"genre_scores_gemma":[0.8174386,0.000010319859,0.18084568,0.000014402373,0.000031961736,0.000051443873,0.00017532255,0.000027529113,0.0014047101],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917275,0.0000056465356,0.00029030052,0.00019702388,0.00011724501,0.00021705059],"domain_scores_gemma":[0.99946284,0.000049878494,0.00006707183,0.00029795215,0.00008903102,0.00003323027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007046952,0.00014509518,0.0004400501,0.00019368612,0.000027811706,0.000014950676,0.000113604234,0.000031590473,0.00009748821],"category_scores_gemma":[0.000013939192,0.00011118217,0.00010705209,0.0011359855,0.000037946815,0.00011544893,0.000012570673,0.000051990224,0.0000014696857],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013343456,0.00017638566,0.030272845,0.00035602742,0.0042884434,0.0000027800731,0.00005475621,0.8579218,0.090081245,0.0071628047,0.0056304485,0.003919038],"study_design_scores_gemma":[0.00036785688,0.00016693065,0.013148053,0.000035282505,0.0035939633,0.0000013605985,0.000026623225,0.84115416,0.11902507,0.0017889229,0.019935478,0.00075630104],"about_ca_topic_score_codex":0.00009931406,"about_ca_topic_score_gemma":0.000027748149,"teacher_disagreement_score":0.7903611,"about_ca_system_score_codex":0.000034442965,"about_ca_system_score_gemma":0.0000060735015,"threshold_uncertainty_score":0.45338774},"labels":[],"label_agreement":null},{"id":"W1993673174","doi":"10.1006/jath.2000.3545","title":"Approximation Properties and Construction of Hermite Interpolants and Biorthogonal Multiwavelets","year":2001,"lang":"en","type":"article","venue":"Journal of Approximation Theory","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Biorthogonal system; Mathematics; Hermite polynomials; Hermite interpolation; Matrix (chemical analysis); Applied mathematics; Dilation (metric space); Pure mathematics; Mathematical analysis; Wavelet; Combinatorics; Wavelet transform; Computer science","score_opus":0.01222835190857761,"score_gpt":0.2154383519094687,"score_spread":0.2032100000008911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993673174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72179365,0.0005300102,0.27728626,0.000024797258,0.00006861245,0.0000751472,0.0000013912652,0.000035748322,0.00018439474],"genre_scores_gemma":[0.9474386,0.00051107694,0.051945247,0.000010173011,0.0000705006,0.0000027517206,0.0000012247625,0.000011113648,0.000009327741],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992345,0.000050412647,0.0004240234,0.000065160995,0.00015002425,0.00007586535],"domain_scores_gemma":[0.9994713,0.000042265357,0.00025346145,0.000061228675,0.0001288262,0.000042927797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036001747,0.00009464331,0.00021842557,0.00019734706,0.000025860878,0.000016408572,0.00004798693,0.000054841315,0.000007862483],"category_scores_gemma":[0.00007051757,0.000073751704,0.00004025758,0.00012651412,0.00012706447,0.00041350286,0.000015776755,0.00012761884,4.0196326e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049415167,0.00012338188,0.0041408273,0.0006110214,0.00030914933,0.000008712834,0.0022071407,0.0015982625,0.27184257,0.014677634,0.00006643399,0.7039207],"study_design_scores_gemma":[0.0025387167,0.0006164786,0.011506295,0.0011894497,0.00033695734,0.002787332,0.003598571,0.4153915,0.38460097,0.17521326,0.001344034,0.00087642507],"about_ca_topic_score_codex":6.164906e-7,"about_ca_topic_score_gemma":3.2540441e-7,"teacher_disagreement_score":0.7030443,"about_ca_system_score_codex":0.000023773067,"about_ca_system_score_gemma":0.0000061831774,"threshold_uncertainty_score":0.3007507},"labels":[],"label_agreement":null},{"id":"W1993756099","doi":"10.1007/s00371-013-0802-8","title":"Generalized Hermitian Radial Basis Functions Implicits from polygonal mesh constraints","year":2013,"lang":"en","type":"article","venue":"The Visual Computer","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Institut national de recherche en informatique et en automatique (INRIA)","keywords":"Polygon mesh; Interpolation (computer graphics); Radial basis function; Computer graphics; Basis (linear algebra); Computer science; Constraint (computer-aided design); Algorithm; Subdivision surface; Basis function; Flexibility (engineering); Mathematics; Computer graphics (images); Geometry; Artificial intelligence; Animation; Mathematical analysis","score_opus":0.009498476401194875,"score_gpt":0.2428615342327347,"score_spread":0.23336305783153982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993756099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49937832,0.000055243094,0.49851936,0.00031792655,0.00024287711,0.0001802216,0.000023131553,0.00070637075,0.00057653594],"genre_scores_gemma":[0.98134303,0.000012488537,0.016983425,0.0007386748,0.0006833973,0.000054751894,0.000041502422,0.00003668952,0.000106062434],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990973,0.0000546331,0.00023209938,0.00019259195,0.0001484704,0.0002749181],"domain_scores_gemma":[0.9994769,0.000112664966,0.000030278416,0.00023255894,0.000040209532,0.00010734982],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000044355216,0.00019095739,0.00023218678,0.00006240277,0.000103383754,0.00006766073,0.00022273483,0.00006660321,0.0015938339],"category_scores_gemma":[0.0000041938374,0.00013885414,0.00013244049,0.00020983128,0.00011818177,0.00013820012,0.00007374687,0.00018866525,0.00048727603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022856739,0.00014320179,0.0007657208,0.000013738238,0.00089855015,0.000009103856,0.0003707662,0.012293313,0.06660278,0.0017216656,0.08714063,0.8300177],"study_design_scores_gemma":[0.0009906462,0.0001724955,0.024853567,0.00003538953,0.00016473679,0.0000225039,0.000052613268,0.93199813,0.019266957,0.0076190406,0.013835266,0.000988678],"about_ca_topic_score_codex":0.00018156046,"about_ca_topic_score_gemma":0.00000842858,"teacher_disagreement_score":0.9197048,"about_ca_system_score_codex":0.00004445385,"about_ca_system_score_gemma":0.000007363822,"threshold_uncertainty_score":0.99931884},"labels":[],"label_agreement":null},{"id":"W1994359348","doi":"10.1115/msec2006-21069","title":"A New Approach to Determining Optimum Tool Size for Finish Milling of NURBS Profiles","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Machining; Particle swarm optimization; Computer science; Focus (optics); Mathematical optimization; Mechanical engineering; CAD; Engineering drawing; Cutting tool; Industrial engineering; Algorithm; Engineering; Mathematics","score_opus":0.01090285984006804,"score_gpt":0.23976771664278954,"score_spread":0.2288648568027215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994359348","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013914159,0.000031894193,0.97581714,0.000020842393,0.000018301922,0.0003213176,0.0000055663368,0.00045476973,0.009415988],"genre_scores_gemma":[0.3389928,0.0000018422239,0.65987,0.000022759845,0.00005688389,0.0000750456,0.0000050590556,0.000024581093,0.00095096685],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991896,0.000004592382,0.00030432435,0.00018562604,0.000099237215,0.00021659797],"domain_scores_gemma":[0.9995771,0.0001226389,0.000032141124,0.0001836641,0.000036119505,0.0000483086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006534868,0.00013454,0.00026214658,0.00006134777,0.000022544476,0.000014891291,0.00014340528,0.00005450923,0.000026610944],"category_scores_gemma":[0.00007055794,0.00012362128,0.000102873906,0.00023799507,0.000008101994,0.000085543514,0.000024747238,0.00005218332,0.0000044011663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037014117,0.0001071345,0.00047865164,0.00033369413,0.00009692904,0.0000014165121,0.00019680143,0.64932305,0.2216968,0.002688793,0.029370913,0.095668785],"study_design_scores_gemma":[0.00033887158,0.00011339937,0.00021199998,0.000052807347,0.000054286204,0.0000024246908,0.00008932656,0.42921856,0.5581987,0.0038997435,0.0073016733,0.0005182259],"about_ca_topic_score_codex":0.000028801209,"about_ca_topic_score_gemma":0.0000027964895,"teacher_disagreement_score":0.3365019,"about_ca_system_score_codex":0.000028068464,"about_ca_system_score_gemma":0.000008319644,"threshold_uncertainty_score":0.504113},"labels":[],"label_agreement":null},{"id":"W1994603492","doi":"10.4236/eng.2013.55a003","title":"On Point-Based Haptic Rendering","year":2013,"lang":"en","type":"article","venue":"Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Haptic technology; Computer science; Rendering (computer graphics); Computer graphics (images); Computation; Finite element method; Object (grammar); Representation (politics); Computer vision; Computer graphics; Point (geometry); Artificial intelligence; Algorithm; Mathematics; Geometry; Engineering","score_opus":0.0037133203067807735,"score_gpt":0.1808040520934032,"score_spread":0.17709073178662244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994603492","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055103,0.00010776012,0.9391717,0.00006886553,0.00012262972,0.00013329877,9.1646245e-7,0.0029816178,0.0023102297],"genre_scores_gemma":[0.964551,0.000005008765,0.03513427,0.000062832885,0.000046357454,0.000082972525,0.0000030736048,0.000065748456,0.00004873867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992565,0.000003726128,0.00017223886,0.00015132119,0.00012894472,0.00028730553],"domain_scores_gemma":[0.99954164,0.000079546655,0.000012568147,0.0002545617,0.000016228783,0.00009543192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000372055,0.0001853336,0.00017122798,0.00015938444,0.00002228374,0.00003056836,0.00012919867,0.000051885145,0.00020511902],"category_scores_gemma":[0.000052143612,0.000186217,0.0000730763,0.0002424815,0.000008481338,0.00015624215,0.00001470581,0.00020414403,0.00028356194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.131948e-7,0.000007793932,0.000012661956,0.000033703567,0.000020355541,0.00000389297,0.000011254297,0.94856143,0.04540932,0.00063870574,0.0006762321,0.0046240394],"study_design_scores_gemma":[0.00008663763,0.000024183673,0.00020001967,0.000045242195,0.0000062273393,0.000001337675,0.0000040062796,0.96458584,0.033190805,0.00050839834,0.0011009218,0.0002464017],"about_ca_topic_score_codex":0.0000057994216,"about_ca_topic_score_gemma":3.3950758e-7,"teacher_disagreement_score":0.909448,"about_ca_system_score_codex":0.00009470276,"about_ca_system_score_gemma":0.0000022695774,"threshold_uncertainty_score":0.75937086},"labels":[],"label_agreement":null},{"id":"W1994930564","doi":"10.1142/s0218654303000048","title":"L-SYSTEM DESCRIPTION OF SUBDIVISION CURVES","year":2003,"lang":"fr","type":"article","venue":"International Journal of Shape Modeling","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Subdivision; Iterated function; Context (archaeology); Algorithm; Sequence (biology); Affine transformation; Parametric statistics; Character (mathematics); Mathematics; Subdivision surface; Computer science; Pure mathematics; Geometry; Mathematical analysis","score_opus":0.03010454309048512,"score_gpt":0.2785169373903668,"score_spread":0.24841239429988168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994930564","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.081912756,0.02621175,0.888653,0.00041775298,0.0016932571,0.000053183427,0.000010177057,0.000034734112,0.001013408],"genre_scores_gemma":[0.93000036,0.0057917205,0.06379175,0.000042101983,0.00024634827,0.0000012582716,0.000002898233,0.000029475976,0.000094071715],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99767905,0.00008547277,0.0011782148,0.00012314579,0.00075941905,0.00017470069],"domain_scores_gemma":[0.99794275,0.00006725465,0.00050701783,0.0001107764,0.0012792632,0.000092928465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064229785,0.00017481677,0.00040182672,0.0003406655,0.000023412636,0.000032493834,0.00037152343,0.0001014442,0.0001675259],"category_scores_gemma":[0.00023072609,0.00017455396,0.00031787695,0.00019681036,0.000035546866,0.00071605423,0.000034094304,0.0003367412,0.000010301801],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046276462,0.00015092276,0.00062661956,0.00047361708,0.0005802727,0.000080499885,0.00018508584,0.93344367,0.019795569,0.013763922,0.00048443998,0.030369096],"study_design_scores_gemma":[0.00028416223,0.00007129742,0.000027576152,0.0044953316,0.00012674865,0.00026289385,0.00017159653,0.9804095,0.008977064,0.0037130844,0.0013030579,0.0001576891],"about_ca_topic_score_codex":0.000041083415,"about_ca_topic_score_gemma":0.0000021129017,"teacher_disagreement_score":0.8480876,"about_ca_system_score_codex":0.00046210247,"about_ca_system_score_gemma":0.00005041742,"threshold_uncertainty_score":0.7118104},"labels":[],"label_agreement":null},{"id":"W199546530","doi":"10.1007/bfb0042732","title":"Analytical methods for the design of 2-D elliptically symmetric digital filters of arbitrary orientation using generalized McClellan transformation","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in control and information sciences","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Transformation (genetics); Digital filter; Mathematics; Forcing (mathematics); Orientation (vector space); Function (biology); Power (physics); Scaling; Mathematical analysis; Algorithm; Applied mathematics; Filter (signal processing); Computer science; Geometry; Physics","score_opus":0.02432255416596862,"score_gpt":0.302061360876539,"score_spread":0.2777388067105704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W199546530","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000108488675,0.00040677856,0.9948327,0.000048219405,0.000035882033,0.0004533885,0.00003703569,0.000027854272,0.0040496406],"genre_scores_gemma":[0.7248575,0.00032683712,0.27456048,0.00011740149,0.00003715279,0.000022315488,0.0000515204,0.0000136157005,0.000013154177],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99884653,0.000018493056,0.000699276,0.00009060038,0.00022023632,0.00012486294],"domain_scores_gemma":[0.9982321,0.0013306488,0.00022412771,0.00008391035,0.00010675058,0.000022446504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004984123,0.00015944659,0.00035642102,0.00046108002,0.000060021106,0.000057741316,0.00013445728,0.00013010537,0.000004932224],"category_scores_gemma":[0.00019092871,0.000105526145,0.00010161482,0.00030298514,0.00024168548,0.00088114775,0.0000068964982,0.00011628127,1.670005e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004130475,0.0000034517552,0.000016136937,0.00009392128,0.00004523977,3.7617784e-8,0.00014108916,0.75915587,0.00027085774,0.0124231875,0.0000033692677,0.22780551],"study_design_scores_gemma":[0.00028573198,0.00008155887,0.00001843981,0.000035575846,0.000079427526,0.0000012794496,0.000006344026,0.98045576,0.0011745277,0.01692915,0.0008144255,0.000117777236],"about_ca_topic_score_codex":0.000014164682,"about_ca_topic_score_gemma":0.00000152998,"teacher_disagreement_score":0.724749,"about_ca_system_score_codex":0.000035002777,"about_ca_system_score_gemma":0.000023210869,"threshold_uncertainty_score":0.43032312},"labels":[],"label_agreement":null},{"id":"W1995475017","doi":"10.1080/16864360.2014.846085","title":"Reconstruction Method of Trimmed Surfaces Maintaining<i>G<sup>1</sup></i>-Continuity with Adjacent Surfaces","year":2013,"lang":"en","type":"article","venue":"Computer-Aided Design and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Physics; Mathematics","score_opus":0.012034475495112888,"score_gpt":0.2390140914331401,"score_spread":0.2269796159380272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995475017","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039108578,0.00020462983,0.95915926,0.00007338689,0.0000101646765,0.00082888466,0.000005130194,0.00043579456,0.0001741567],"genre_scores_gemma":[0.38516894,0.00011728399,0.61435056,0.000026012975,0.000027722795,0.0002628809,0.000007005578,0.000019883671,0.00001973804],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99888206,0.00009157913,0.00037262362,0.00030854836,0.00012581973,0.00021936723],"domain_scores_gemma":[0.9989046,0.00042081226,0.00011681458,0.00031325824,0.00013166014,0.000112896734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021154789,0.0002090437,0.0003839356,0.000107740605,0.000088097164,0.000048375452,0.00017205297,0.00007581534,0.000024586201],"category_scores_gemma":[0.000008724033,0.00017828023,0.00005466111,0.00043907636,0.00011655167,0.00021537924,0.00004093035,0.00014451852,0.00000969177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001391607,0.00006538068,0.00052520895,0.000056983343,0.00013509672,4.8087963e-7,0.00015645522,0.42288965,0.010494114,0.0013331297,0.00069477066,0.5636348],"study_design_scores_gemma":[0.00035356346,0.00011449809,0.0012100803,0.000049940576,0.000065470274,0.000022828342,0.00013448489,0.96812904,0.021392928,0.006189243,0.0020218582,0.0003160388],"about_ca_topic_score_codex":0.000042162366,"about_ca_topic_score_gemma":0.0000016646991,"teacher_disagreement_score":0.5633188,"about_ca_system_score_codex":0.000037401685,"about_ca_system_score_gemma":0.000014634254,"threshold_uncertainty_score":0.72700566},"labels":[],"label_agreement":null},{"id":"W1995997911","doi":"10.1115/detc2010-29150","title":"An Effective Approach to Approximating 2-D Free-Form Curve Offsets for B-Spline NC Tool Paths With Offset Error Globally Bounded","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Offset (computer science); B-spline; Spline (mechanical); Bounded function; Bounding overwatch; Upper and lower bounds; Geometric design; Algorithm; Computer science; Curve fitting; Machining; Mathematics; Mathematical optimization; Applied mathematics; Geometry; Mathematical analysis; Engineering; Statistics; Artificial intelligence","score_opus":0.006043226956736465,"score_gpt":0.2524801108243334,"score_spread":0.24643688386759696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995997911","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15060408,0.000007060625,0.84205705,0.00004773212,0.000049541464,0.0015474464,0.000068963316,0.0013417633,0.00427638],"genre_scores_gemma":[0.48853594,5.238222e-7,0.5104706,0.00009914262,0.000073535266,0.0006444104,0.000087437045,0.000051464627,0.000036952588],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998299,0.000020169322,0.00040145087,0.00048791207,0.00030771398,0.00048377336],"domain_scores_gemma":[0.9986847,0.000103899314,0.00007899212,0.0007501047,0.00017512828,0.00020716629],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036239062,0.00036438447,0.00047906203,0.00012275556,0.00012904563,0.00008799545,0.00051201903,0.00015554178,0.000018105959],"category_scores_gemma":[0.00016884276,0.00027792584,0.00011464826,0.0005039932,0.000055061588,0.0004288406,0.000080452824,0.00033332148,0.000009209776],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010288608,0.0026293662,0.0047427914,0.0013984487,0.0012373871,0.000014427957,0.0022361742,0.055235088,0.264568,0.070315726,0.008223754,0.58836997],"study_design_scores_gemma":[0.0011013699,0.00072334474,0.0016795597,0.000036386824,0.000098175515,0.000019315099,0.00015846631,0.9409667,0.038052,0.012986373,0.003195205,0.0009830624],"about_ca_topic_score_codex":0.000056982164,"about_ca_topic_score_gemma":0.00024832532,"teacher_disagreement_score":0.88573164,"about_ca_system_score_codex":0.000106750034,"about_ca_system_score_gemma":0.000015020236,"threshold_uncertainty_score":0.9999673},"labels":[],"label_agreement":null},{"id":"W1996526039","doi":"10.1016/j.cad.2007.08.006","title":"Cubic polynomial patches through geodesics","year":2007,"lang":"en","type":"article","venue":"Computer-Aided Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Universidad de Castilla-La Mancha; Ryerson University","keywords":"Geodesic; Connection (principal bundle); Surface (topology); Plane (geometry); Tangent; Mathematics; Polynomial; Plane curve; Geometry; Bicubic interpolation; Tangent vector; Pure mathematics; Mathematical analysis","score_opus":0.023010387982156447,"score_gpt":0.24628734513165654,"score_spread":0.22327695714950008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996526039","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006168471,0.0003159044,0.9906126,0.000030349367,0.00027904587,0.00019202578,0.0000022229297,0.0015213247,0.0008780339],"genre_scores_gemma":[0.42486373,0.00005564321,0.5743727,0.00019479463,0.00038382603,0.000009841485,0.000007622458,0.000053814038,0.000058040525],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99854916,0.000040358875,0.00040941467,0.00029755008,0.00020166123,0.0005018422],"domain_scores_gemma":[0.999072,0.0003048417,0.000055065993,0.0004015986,0.000046311692,0.00012015977],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000288302,0.00027938737,0.0003565067,0.000105775835,0.000075622534,0.000043685337,0.0003284664,0.00013256451,0.000021566135],"category_scores_gemma":[0.000016930717,0.00027686512,0.00013694503,0.0004348457,0.00006547791,0.00026574935,0.0000673551,0.0002432433,0.000091569455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009888953,0.00021517152,0.00031081677,0.00010338245,0.0003673849,0.00025406198,0.0008069494,0.28276289,0.0739391,0.0012814907,0.058269504,0.58159035],"study_design_scores_gemma":[0.0007346849,0.00036366234,0.000963065,0.000071454655,0.00009817194,0.000045712593,0.000036212066,0.41339362,0.5269052,0.019560318,0.036423516,0.0014043848],"about_ca_topic_score_codex":0.000012310248,"about_ca_topic_score_gemma":0.0000016181201,"teacher_disagreement_score":0.580186,"about_ca_system_score_codex":0.00013947209,"about_ca_system_score_gemma":0.0000132207615,"threshold_uncertainty_score":0.99996835},"labels":[],"label_agreement":null},{"id":"W1996726497","doi":"10.1007/bf03321874","title":"Efficient Computation of the Branching Structure of an Algebraic Curve","year":2012,"lang":"en","type":"article","venue":"Computational Methods and Function Theory","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Mathematics; Discriminant; Branching (polymer chemistry); Riemann surface; Computation; Algebraic curve; Hyperelliptic curve; Stable curve; Surface (topology); Algebraic surface; Algebraic number; Pure mathematics; Mathematical analysis; Algebra over a field; Geometry; Algorithm","score_opus":0.009666631933148786,"score_gpt":0.30353804759712616,"score_spread":0.2938714156639774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996726497","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3390538,0.0003710048,0.6603054,0.0000033338752,0.000129973,0.000048188427,0.0000041369467,0.000037861893,0.00004629678],"genre_scores_gemma":[0.7377599,0.0000011228258,0.26217377,0.000019295223,0.00003065696,0.0000011938537,0.000005134011,0.0000076458755,0.0000012778191],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923193,0.00029653145,0.00020471738,0.00007663601,0.00011339499,0.00007675779],"domain_scores_gemma":[0.99939555,0.00034291114,0.000089900655,0.00007608149,0.00006162375,0.00003396224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004457799,0.00007774762,0.00013934783,0.00006408939,0.000049665596,0.0000040660652,0.000049583934,0.00003707162,0.0000142425415],"category_scores_gemma":[0.000060764567,0.00005637653,0.000047984977,0.00021254111,0.00007534967,0.0000696835,0.000021573645,0.00008786783,1.8123195e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000143645,0.000020343567,0.0002915738,0.00003604154,0.000033040356,9.231699e-9,0.00021968706,0.79673654,0.016200004,0.029234696,0.0000021393864,0.15721154],"study_design_scores_gemma":[0.000111809684,0.000032429223,0.038079683,0.000018522205,0.000045230623,0.000003370018,0.0000828861,0.5970839,0.0142879905,0.3501395,0.000029965968,0.0000846894],"about_ca_topic_score_codex":0.0000010695384,"about_ca_topic_score_gemma":1.1481364e-7,"teacher_disagreement_score":0.39870608,"about_ca_system_score_codex":0.000013047613,"about_ca_system_score_gemma":0.0000044400767,"threshold_uncertainty_score":0.22989683},"labels":[],"label_agreement":null},{"id":"W1997098044","doi":"10.1016/s0278-6125(03)90020-3","title":"Integrated steepest-directed and iso-cusped toolpath generation for three-axis CNC machining of sculptured parts","year":2003,"lang":"en","type":"article","venue":"Journal of Manufacturing Systems","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Concordia University","funders":"Concordia University; University of Victoria","keywords":"Machining; Numerical control; Engineering drawing; Mechanical engineering; Tool path; Engineering; Computer science","score_opus":0.018068211865087138,"score_gpt":0.233200875291664,"score_spread":0.21513266342657686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997098044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6763382,0.0014392539,0.32135785,0.000011995619,0.0003516788,0.00025520046,0.000008227736,0.00013135665,0.00010627901],"genre_scores_gemma":[0.98343164,0.000069176465,0.01626487,0.000005911035,0.00013619976,0.000013855225,0.0000053567437,0.000035821467,0.00003719244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985779,0.00007748525,0.00078302016,0.00013896405,0.0002274842,0.00019513935],"domain_scores_gemma":[0.99908555,0.000110227455,0.00040077168,0.00015650848,0.00015879782,0.000088167035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004852143,0.00020196452,0.0005638659,0.00021661267,0.000058042096,0.00005066498,0.00010966708,0.000104239996,0.000006761901],"category_scores_gemma":[0.00014053793,0.00015831522,0.00013756625,0.00011237683,0.000022907445,0.00023344047,0.000009784647,0.00021852269,3.9100945e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020227654,0.00017609389,0.0035415676,0.0015819807,0.0017182829,0.000054322274,0.0011870106,0.7226084,0.2206211,0.00072709844,0.0023604864,0.045221385],"study_design_scores_gemma":[0.001414121,0.00041855272,0.0017360157,0.00061033125,0.00027907582,0.00022047186,0.00023249813,0.25303304,0.7292135,0.0007166079,0.011556164,0.0005696508],"about_ca_topic_score_codex":0.000017812781,"about_ca_topic_score_gemma":0.00002083697,"teacher_disagreement_score":0.50859237,"about_ca_system_score_codex":0.000100802565,"about_ca_system_score_gemma":0.000016354858,"threshold_uncertainty_score":0.6455907},"labels":[],"label_agreement":null},{"id":"W1997381877","doi":"10.1016/j.cam.2008.03.014","title":"Generalized interpolating refinable function vectors","year":2008,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Orthogonality; Interpolation (computer graphics); Scalar (mathematics); Combinatorics; Function (biology); Mathematical analysis; Discrete mathematics; Geometry; Physics","score_opus":0.01264585766895889,"score_gpt":0.22454190485934714,"score_spread":0.21189604719038824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997381877","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3439937,0.000089990586,0.65487224,0.0000150030155,0.000024809446,0.000024758136,3.998324e-7,0.000044526314,0.0009345578],"genre_scores_gemma":[0.64701205,0.000031172407,0.3528559,0.000023449851,0.000048833466,0.0000013260204,0.0000011072915,0.000008882623,0.000017279472],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993921,0.0000031768016,0.00033812257,0.00004029678,0.00015697793,0.000069320944],"domain_scores_gemma":[0.99965066,0.00007924505,0.00013456611,0.000032877793,0.0000621321,0.000040536983],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000077480756,0.000077204066,0.00019616784,0.0000810668,0.000051583844,0.000009658356,0.000043626365,0.000025170042,0.000011912712],"category_scores_gemma":[0.000010940784,0.000062443694,0.000044586817,0.000111776084,0.000025491532,0.000075692245,0.000011815121,0.000104855564,0.000002351826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033307966,0.00010955996,0.000084316576,0.00018333954,0.00021602357,0.000011345262,0.00083295256,0.9157211,0.013378547,0.05742068,0.0017495608,0.010259249],"study_design_scores_gemma":[0.00074866484,0.00014180242,0.00083175517,0.000090848545,0.00010072953,0.00047072564,0.0001878393,0.5152221,0.0050459257,0.47432408,0.002514071,0.00032146627],"about_ca_topic_score_codex":1.6609178e-7,"about_ca_topic_score_gemma":5.2601894e-8,"teacher_disagreement_score":0.4169034,"about_ca_system_score_codex":0.000024051637,"about_ca_system_score_gemma":0.000007522245,"threshold_uncertainty_score":0.254638},"labels":[],"label_agreement":null},{"id":"W1999163754","doi":"10.1007/s00170-014-6504-1","title":"Uniform scanning path generation for abrasive waterjet polishing of free-form surfaces modeled by triangulated meshes","year":2014,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Polishing; Offset (computer science); Abrasive; Polygon mesh; Geodesic; Control reconfiguration; Path (computing); Geometry; Materials science; Computer science; Mechanical engineering; Mathematics; Engineering","score_opus":0.007288709165775737,"score_gpt":0.23826827223763972,"score_spread":0.23097956307186399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999163754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6529404,0.00017328776,0.3455239,0.00085056125,0.0001931193,0.00011185755,0.00001931714,0.00013987359,0.000047722806],"genre_scores_gemma":[0.93620384,0.00021493352,0.063337274,0.00004335125,0.00010924217,0.000013265569,0.00001729629,0.000032642743,0.000028132208],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99864686,0.000016625489,0.000664729,0.00013731966,0.00031033525,0.00022414202],"domain_scores_gemma":[0.9987535,0.00015028712,0.0004922264,0.00025926653,0.00030759312,0.000037161473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033034364,0.00018878731,0.00037959253,0.00036622665,0.00006318949,0.00003126102,0.0010924938,0.00012408233,0.000007379371],"category_scores_gemma":[0.00025651633,0.00013632471,0.00013876366,0.00012070188,0.00008536334,0.00043736456,0.00011090729,0.00028772387,4.7393078e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009214353,0.000023077566,0.000022801563,0.000016213504,0.00028252433,0.0000020520881,0.000109944194,0.36259633,0.59972465,0.0010853781,0.0005598361,0.035485037],"study_design_scores_gemma":[0.00067644496,0.00012341655,0.0000168158,0.000059040496,0.000035333815,0.000023962193,0.00010118203,0.08352179,0.8694221,0.044617742,0.0012726949,0.00012947222],"about_ca_topic_score_codex":0.000013497213,"about_ca_topic_score_gemma":0.000011253548,"teacher_disagreement_score":0.28326347,"about_ca_system_score_codex":0.00017671277,"about_ca_system_score_gemma":0.000012812915,"threshold_uncertainty_score":0.555916},"labels":[],"label_agreement":null},{"id":"W1999421029","doi":"10.1016/j.cam.2007.12.027","title":"A two-point <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si70.gif\" display=\"inline\" overflow=\"scroll\"><mml:msup><mml:mrow><mml:mi>G</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msup></mml:math> Hermite interpolating family of spirals","year":2008,"lang":"lv","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Mathematics; Spiral (railway); Point (geometry); Hermite polynomials; Scroll; Algorithm; Planar; Geometry; Mathematical analysis; Computer science; Computer graphics (images)","score_opus":0.01701498855910977,"score_gpt":0.2477952569545408,"score_spread":0.23078026839543103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999421029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7984116,0.00088021415,0.063018195,0.00029537687,0.0005101932,0.000043576503,0.00013300234,0.00013916135,0.13656865],"genre_scores_gemma":[0.90733284,0.000631944,0.08985151,0.0005343448,0.0009295013,0.00014397966,0.00018792888,0.00032009574,0.000067858484],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99413764,0.000104331164,0.0022652722,0.00067060394,0.0018211013,0.0010010396],"domain_scores_gemma":[0.9945185,0.0015366857,0.0024393746,0.00073173735,0.00021391876,0.0005597601],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009950339,0.0006059923,0.0004805625,0.00039943386,0.00061255135,0.00041774093,0.00091433106,0.0007743019,0.021699497],"category_scores_gemma":[0.0005895363,0.00094870746,0.0011759525,0.0007109189,0.0007321413,0.00080373755,0.0007744175,0.0012078785,0.00023225592],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054501224,0.00041216073,0.0000071549243,0.0017265395,0.0016607515,0.0006363297,0.0023563765,0.06589129,0.0057213004,0.89540327,0.02264018,0.0029996596],"study_design_scores_gemma":[0.0011645168,0.0007117945,0.000058975016,0.0011631816,0.00078461925,0.0016136148,0.0010995427,0.6358045,0.35511458,0.0012929103,0.0004661824,0.00072562566],"about_ca_topic_score_codex":0.00009104554,"about_ca_topic_score_gemma":0.000034369765,"teacher_disagreement_score":0.8941103,"about_ca_system_score_codex":0.000018862309,"about_ca_system_score_gemma":0.00049825903,"threshold_uncertainty_score":0.99929637},"labels":[],"label_agreement":null},{"id":"W1999498530","doi":"10.1007/s00170-008-1828-3","title":"Effect of tool tilt angle on machining strip width in five-axis flat-end milling of free-form surfaces","year":2008,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Tilt (camera); Curvature; Point (geometry); Geometry; Surface (topology); Mechanical engineering; Engineering drawing; Engineering; Mathematics","score_opus":0.005772562119617413,"score_gpt":0.24265144717486511,"score_spread":0.2368788850552477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999498530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924092,0.0004259974,0.0064264494,0.0001881874,0.0001774021,0.00010798687,0.00001128874,0.00010181166,0.0001516391],"genre_scores_gemma":[0.9881421,0.0007262147,0.011034549,0.000012801472,0.000032945572,0.0000050531626,0.0000018493632,0.000025064792,0.000019427423],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984791,0.00003177015,0.0007263229,0.00013357538,0.0004272875,0.0002018897],"domain_scores_gemma":[0.9986761,0.00043667154,0.0004602974,0.00029840038,0.00010411709,0.000024407595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033024364,0.0001993259,0.0005027448,0.0007258769,0.00003280027,0.000004848175,0.0010960202,0.00011053019,0.000017610919],"category_scores_gemma":[0.00024498082,0.00014447224,0.00015047622,0.00022074384,0.00016794914,0.00020567734,0.00014740256,0.00058178144,0.0000012875145],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059435895,0.000059328268,0.0016884701,0.00006237506,0.00036570488,0.000134423,0.00030983053,0.6449045,0.21965693,0.00025931917,0.000056356956,0.1319084],"study_design_scores_gemma":[0.0007483306,0.0005749511,0.00072354346,0.00021093045,0.000018788562,0.000102804384,0.00005608244,0.0029541191,0.98668844,0.00758296,0.000215745,0.00012332833],"about_ca_topic_score_codex":0.000021011552,"about_ca_topic_score_gemma":0.00001283839,"teacher_disagreement_score":0.7670315,"about_ca_system_score_codex":0.00017325504,"about_ca_system_score_gemma":0.0000133401745,"threshold_uncertainty_score":0.5891407},"labels":[],"label_agreement":null},{"id":"W1999744641","doi":"10.1080/16864360.2014.846092","title":"C2 Approximation of Planar Curvilinear Profiles by Cubic B-Splines","year":2013,"lang":"en","type":"article","venue":"Computer-Aided Design and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Curvilinear coordinates; Planar; Geometry; Mathematics; Box spline; Mathematical analysis; Computer science; Computer graphics (images); Statistics; Spline interpolation","score_opus":0.009635750149134325,"score_gpt":0.21962626320353723,"score_spread":0.20999051305440292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999744641","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026807718,0.00039088193,0.99562985,0.00008516129,0.000008652949,0.0006922114,0.000008579074,0.00040153923,0.00010238379],"genre_scores_gemma":[0.167877,0.00025184487,0.8304908,0.00006691167,0.000094746545,0.0010543144,0.000089966044,0.000030273108,0.000044091343],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934196,0.000019078096,0.00026520214,0.00017301826,0.00007978334,0.000120945304],"domain_scores_gemma":[0.9994682,0.00012591091,0.000058587546,0.00021855182,0.000066488836,0.00006225011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000051651055,0.00012600547,0.0001912609,0.00006955589,0.000049637474,0.000024203713,0.00013343783,0.000052940566,0.000013046918],"category_scores_gemma":[0.0000045567167,0.00011615669,0.00003392697,0.00025567706,0.000054493175,0.00013687013,0.00002052394,0.00007175587,0.000025579535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000068145364,0.00031848138,0.00022382826,0.0004284751,0.0001551648,3.7334854e-7,0.00013866658,0.026976176,0.3529781,0.01560272,0.07582554,0.52734566],"study_design_scores_gemma":[0.00013289531,0.00004445585,0.00015179117,0.000022179225,0.000023654942,0.0000020993934,0.000011223552,0.9081982,0.06584126,0.01604042,0.009310161,0.00022170629],"about_ca_topic_score_codex":0.000008570999,"about_ca_topic_score_gemma":1.4113533e-7,"teacher_disagreement_score":0.88122195,"about_ca_system_score_codex":0.000012532943,"about_ca_system_score_gemma":0.0000040782807,"threshold_uncertainty_score":0.47367325},"labels":[],"label_agreement":null},{"id":"W1999792349","doi":"10.5539/jmr.v1n2p144","title":"Characteristic Ratio and Its Properties","year":2009,"lang":"en","type":"article","venue":"Journal of Mathematics Research","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Cross-ratio; Pure mathematics; Algebraic number; Aspect ratio (aeronautics); Geometry; Mathematical analysis","score_opus":0.0911391962506877,"score_gpt":0.3631280197709452,"score_spread":0.27198882352025755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999792349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.932056,0.002732729,0.062214002,0.00080575777,0.000046003406,0.00020266413,0.0000010758729,0.00009522155,0.0018465603],"genre_scores_gemma":[0.9892739,0.0007505649,0.009723032,0.000009585417,0.000069194335,0.0000017644768,1.05619414e-7,0.000009989006,0.00016182917],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990669,0.00002816802,0.0003090442,0.000042240084,0.00039868767,0.00015497056],"domain_scores_gemma":[0.9994465,0.00008246236,0.000052790496,0.00008337972,0.00025797632,0.00007688554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066450506,0.00006394915,0.00020304116,0.00019437319,0.00004077227,0.00004620278,0.00013854155,0.000031980788,0.000023119106],"category_scores_gemma":[0.00032397555,0.000044258595,0.000034414392,0.0001758311,0.000026140384,0.0001707311,0.000017593804,0.0003301426,0.0000136280305],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002092356,0.0002506801,0.000018690143,0.0005216368,0.00009792066,0.00007498315,0.0016004085,0.00070364604,0.96365726,0.003670645,0.0016487293,0.027734507],"study_design_scores_gemma":[0.0005957353,0.0013519233,0.001199125,0.0011153898,0.00007318371,0.00042905845,0.0009053526,0.42384455,0.48640057,0.0775981,0.005964239,0.0005227604],"about_ca_topic_score_codex":1.2158726e-7,"about_ca_topic_score_gemma":8.201804e-8,"teacher_disagreement_score":0.47725666,"about_ca_system_score_codex":0.00004276003,"about_ca_system_score_gemma":0.000012013495,"threshold_uncertainty_score":0.18048131},"labels":[],"label_agreement":null},{"id":"W2000390281","doi":"10.1093/qjmam/hbt004","title":"Uncertainty analysis of effective elasticity tensors using quaternion-based global optimization and Monte-Carlo method","year":2013,"lang":"en","type":"article","venue":"The Quarterly Journal of Mechanics and Applied Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Research and Development Corporation of Newfoundland and Labrador","keywords":"Quaternion; Mathematics; Tensor (intrinsic definition); Monte Carlo method; Mathematical optimization; Applied mathematics; Isotropy; Elasticity (physics); Physics; Geometry","score_opus":0.007368553741144867,"score_gpt":0.24687138612998238,"score_spread":0.23950283238883752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000390281","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25977305,0.000055498895,0.7399669,0.000012979343,0.000009411468,0.0001504441,0.000005394008,0.000018167519,0.000008123291],"genre_scores_gemma":[0.67879665,0.000017421786,0.321154,0.000008356482,0.000008256725,0.0000053503154,4.475529e-7,0.000009286008,2.2259374e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990575,0.000039378436,0.0004873729,0.00008773222,0.00020461061,0.0001234086],"domain_scores_gemma":[0.9989795,0.00031135106,0.00036443374,0.00013608957,0.00014344907,0.00006516394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043182287,0.00015550749,0.00054568495,0.00012807702,0.000047172303,0.000033909706,0.000116304036,0.000060513652,0.000008450847],"category_scores_gemma":[0.0000205945,0.000100824334,0.00011306742,0.00041936708,0.00002383647,0.00006749046,0.000012426958,0.00012420221,1.9344948e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008854695,0.00003183661,0.0000060143643,0.000060151382,0.00052233774,3.4319845e-7,0.00034016345,0.986079,0.0036852648,0.0019594575,0.0000019090241,0.00730469],"study_design_scores_gemma":[0.00018143338,0.00012797727,0.000022436345,0.00003640357,0.0012207497,0.0000060880475,0.0006765399,0.9757982,0.0011131053,0.020718034,5.453095e-7,0.00009851402],"about_ca_topic_score_codex":0.000018809134,"about_ca_topic_score_gemma":0.000003149924,"teacher_disagreement_score":0.41902363,"about_ca_system_score_codex":0.000051417977,"about_ca_system_score_gemma":0.0000063094185,"threshold_uncertainty_score":0.4111497},"labels":[],"label_agreement":null},{"id":"W2000762099","doi":"10.1016/j.geomphys.2011.09.005","title":"Discrete spherical means of directional derivatives and Veronese maps","year":2011,"lang":"en","type":"article","venue":"Journal of Geometry and Physics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Simons Foundation; National Science Foundation","keywords":"Mathematics; Curvature; Nonlinear system; Minkowski space; Dimension (graph theory); Mathematical analysis; Differential (mechanical device); Discrete geometry; Surface (topology); Differential operator; Pure mathematics; Geometry","score_opus":0.013869115156144035,"score_gpt":0.2323089000564954,"score_spread":0.21843978490035137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000762099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5003654,0.0006818077,0.49802372,0.000012536365,0.000044366778,0.000020789177,0.000006152678,0.000020361555,0.00082486065],"genre_scores_gemma":[0.9549242,0.00038663106,0.044591308,0.0000071661602,0.000070498114,4.4143795e-7,5.16613e-7,0.000007846706,0.00001135732],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99957234,0.000013498567,0.00019128203,0.000047935533,0.000105351035,0.00006960243],"domain_scores_gemma":[0.9997047,0.000052535943,0.00009166454,0.000046501933,0.000048826692,0.0000557771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000063663705,0.00007489442,0.00021524199,0.000031137515,0.000019719577,0.0000043761265,0.000046868707,0.000025717602,0.000019364536],"category_scores_gemma":[0.000019864468,0.00005878538,0.000053549662,0.00022536525,0.00007824345,0.00020125792,0.000019144112,0.00012885396,2.4405176e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008005948,0.0010124557,0.2163682,0.0009936884,0.003316565,0.00008047194,0.00720383,0.011116726,0.23098226,0.011116242,0.0016564709,0.5153525],"study_design_scores_gemma":[0.0015110841,0.0018067582,0.25526124,0.00033362868,0.00050932146,0.00019765717,0.0010213215,0.009069447,0.49529102,0.22837418,0.0055889324,0.0010353993],"about_ca_topic_score_codex":0.0000024177784,"about_ca_topic_score_gemma":2.6748694e-7,"teacher_disagreement_score":0.5143171,"about_ca_system_score_codex":0.000008907151,"about_ca_system_score_gemma":0.000003212205,"threshold_uncertainty_score":0.23971981},"labels":[],"label_agreement":null},{"id":"W2000900065","doi":"10.1007/s00371-011-0589-4","title":"Modeling with blocks","year":2011,"lang":"en","type":"article","venue":"The Visual Computer","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Block (permutation group theory); Computer science; Surface (topology); Computer graphics; Generality; Cuboid; Simple (philosophy); Variety (cybernetics); Computer graphics (images); Base (topology); Template; Procedural modeling; Topology (electrical circuits); Graphics; Theoretical computer science; Algorithm; Geometry; Mathematics; Programming language; Artificial intelligence","score_opus":0.019621199369824704,"score_gpt":0.23436635323126617,"score_spread":0.21474515386144147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000900065","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15578571,0.000025220588,0.8424423,0.000007561383,0.000020816891,0.000039812647,1.4280278e-7,0.0004971469,0.0011813152],"genre_scores_gemma":[0.94021606,0.0000050688823,0.059582274,0.000082327075,0.000072474344,0.000006348851,5.3610165e-7,0.000018093566,0.000016826903],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996293,0.000008245417,0.000082472936,0.000080964084,0.00007315505,0.00012584482],"domain_scores_gemma":[0.9997966,0.000009718118,0.000007165872,0.00014153178,0.00001778006,0.00002716162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000037644964,0.00008619597,0.00009184096,0.000027685806,0.00003315408,0.000008558431,0.00013759905,0.000019305091,0.000031671854],"category_scores_gemma":[4.977367e-7,0.000048679947,0.00002768608,0.00012365122,0.000021809652,0.00005142108,0.000036421203,0.000101125224,0.000022115939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003433268,0.000073840565,0.00015956127,0.000016889202,0.00019664741,0.00001578915,0.001290107,0.9269428,0.0009747214,0.0014821513,0.00053257635,0.06828053],"study_design_scores_gemma":[0.000039682967,0.00006184176,0.000031666023,0.000007650743,0.00001235393,0.000003987986,0.0000061719825,0.99618626,0.002530942,0.0008747209,0.00015338082,0.000091357084],"about_ca_topic_score_codex":0.000012584915,"about_ca_topic_score_gemma":0.0000023019975,"teacher_disagreement_score":0.7844303,"about_ca_system_score_codex":0.000010425455,"about_ca_system_score_gemma":0.0000014320184,"threshold_uncertainty_score":0.19851106},"labels":[],"label_agreement":null},{"id":"W2001106825","doi":"10.1115/detc2010-28903","title":"Medial Axis Transform of Planar Shapes With Free-Form Curve Boundary","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Boundary (topology); Medial axis; Planar; Tracing; Tool path; Process (computing); Geometry; Computer science; Simple (philosophy); Tree (set theory); Algorithm; Mathematics; Mathematical analysis; Computer graphics (images)","score_opus":0.0042280338666710205,"score_gpt":0.20980082537525507,"score_spread":0.20557279150858404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001106825","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3151533,0.000118280914,0.59070975,0.000395588,0.00012777955,0.00032725246,0.000069015645,0.0018733967,0.09122565],"genre_scores_gemma":[0.92510676,0.000039755963,0.07460303,0.00003054879,0.000060866478,0.000018280654,0.000010822753,0.00002983738,0.00010011121],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993025,0.0000026211833,0.0002024988,0.00011709394,0.0001926214,0.00018263096],"domain_scores_gemma":[0.99962336,0.000040667823,0.000021859676,0.00020550872,0.0000334052,0.00007518027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005887202,0.00013788944,0.00023284576,0.000079887344,0.000026507572,0.000009226496,0.00022361812,0.00007777154,0.00042389994],"category_scores_gemma":[0.000013616936,0.00009765407,0.00006457737,0.00020081122,0.00011189207,0.00019433374,0.000009812552,0.00023937003,0.000007363906],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041248775,0.00047026464,0.008136309,0.0006871558,0.0012122135,0.00007274115,0.0029755416,0.00163564,0.5577868,0.031722866,0.015555529,0.37933245],"study_design_scores_gemma":[0.0014076112,0.0006876971,0.0046113078,0.00005841939,0.00016800355,0.000036830104,0.00018624171,0.02252214,0.8022473,0.059432227,0.10740232,0.0012399276],"about_ca_topic_score_codex":0.00007513553,"about_ca_topic_score_gemma":0.0017194805,"teacher_disagreement_score":0.60995346,"about_ca_system_score_codex":0.000014916722,"about_ca_system_score_gemma":0.000011441882,"threshold_uncertainty_score":0.4641407},"labels":[],"label_agreement":null},{"id":"W2001972447","doi":"10.1090/s0025-5718-04-01704-1","title":"Noninterpolatory Hermite subdivision schemes","year":2004,"lang":"en","type":"article","venue":"Mathematics of Computation","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Subdivision; Hermite polynomials; Mathematics; Bivariate analysis; Subdivision surface; Hermite interpolation; Cubic Hermite spline; Hermite spline; Applied mathematics; Pure mathematics; Mathematical analysis; Geometry; Statistics; Polygon mesh; Spline interpolation; Geography; Bicubic interpolation; Thin plate spline; Polynomial","score_opus":0.0062415481975028955,"score_gpt":0.240579837570993,"score_spread":0.2343382893734901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001972447","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2638031,0.000057907004,0.7349881,0.0000071044187,0.000017904089,0.000050305887,6.7120914e-7,0.0002401041,0.00083480286],"genre_scores_gemma":[0.76808035,0.0000073748784,0.23187557,0.000005228856,0.000007644736,0.0000016751538,0.0000032462203,0.000013784742,0.0000051343186],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949604,0.0000034441887,0.0002353308,0.00006118416,0.00012933888,0.000074688905],"domain_scores_gemma":[0.99974716,0.000033412205,0.00005808519,0.00009455839,0.000043674267,0.000023119323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053126238,0.000078719364,0.00015343569,0.000079193975,0.000014005933,0.000007424752,0.00006912518,0.000030982523,0.000005858292],"category_scores_gemma":[0.00001580486,0.00007566367,0.00005127345,0.00014316136,0.000022944609,0.00009595968,0.000016168557,0.00005282084,0.000017717935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041640565,0.00023139638,0.00008418508,0.0006962958,0.00010226989,0.0000035886771,0.0013345039,0.87191844,0.062147494,0.03204416,0.00012543843,0.03130807],"study_design_scores_gemma":[0.00022599916,0.000047393627,0.0001490122,0.00018513674,0.000023569999,0.0000036580918,0.000053517073,0.64120144,0.20557882,0.15221101,0.00014360649,0.00017681897],"about_ca_topic_score_codex":0.0000010585131,"about_ca_topic_score_gemma":3.3966657e-7,"teacher_disagreement_score":0.5042772,"about_ca_system_score_codex":0.000041106392,"about_ca_system_score_gemma":0.000003992953,"threshold_uncertainty_score":0.3085475},"labels":[],"label_agreement":null},{"id":"W2002703512","doi":"10.1115/gt2007-28169","title":"Automated Tool-Orientation Determinations for 4-Axis Non-Gouge, Non-Interference Milling of Axial-Flow Compressors Airfoils","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Airfoil; Gas compressor; Orientation (vector space); Mechanical engineering; Interference (communication); Turbine blade; Flow (mathematics); Axial compressor; Aerodynamics; Cutter location; Milling cutter; Machine tool; Engineering; Computer science; Turbine; Structural engineering; Numerical control; Geometry; Machining; Aerospace engineering; Mathematics","score_opus":0.010035543638703862,"score_gpt":0.28594028575777136,"score_spread":0.2759047421190675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002703512","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18979754,0.000010402035,0.8081098,0.000007165242,0.000078729114,0.00024978825,0.000015073925,0.0008669991,0.0008645019],"genre_scores_gemma":[0.73838776,0.000011134355,0.26140192,0.00001428789,0.000021758984,0.00004059703,0.00003090402,0.000021489086,0.00007015135],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989158,0.0000061971114,0.0004941505,0.0001883259,0.00013917818,0.00025634095],"domain_scores_gemma":[0.99927354,0.00020630936,0.000082153565,0.00021465862,0.00016902974,0.000054296015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016326181,0.00015889801,0.00026690314,0.00019686844,0.000053817283,0.000014234116,0.00016152988,0.00008062672,0.000033417233],"category_scores_gemma":[0.00006259191,0.00015534145,0.000113054324,0.0003983467,0.000041324936,0.00021997123,0.000024555497,0.000079599035,0.000006152249],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008077798,0.00020024,0.0014173494,0.0004161152,0.00020462848,0.0000053527897,0.0012620623,0.2247361,0.6266697,0.00045506874,0.001622586,0.14293],"study_design_scores_gemma":[0.000145051,0.00005799076,0.0009075145,0.000031505995,0.000020864494,5.9163403e-7,0.000042913598,0.61099946,0.3873234,0.00022125385,0.00012090327,0.0001285305],"about_ca_topic_score_codex":0.00002540743,"about_ca_topic_score_gemma":0.000036118225,"teacher_disagreement_score":0.54859024,"about_ca_system_score_codex":0.00007232728,"about_ca_system_score_gemma":0.000006308664,"threshold_uncertainty_score":0.63346404},"labels":[],"label_agreement":null},{"id":"W2003603402","doi":"10.1145/1811158.1811162","title":"Cubic Bézier spiral segments for planar <i>G</i> <sup> <i>2</i> </sup> curve design","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Planar; Bézier curve; Spiral (railway); Physics; Mathematics; Geometry; Computer science; Mathematical analysis; Computer graphics (images)","score_opus":0.013672941082075092,"score_gpt":0.24453144833292612,"score_spread":0.23085850725085102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003603402","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009992103,0.00004302847,0.98358977,0.00006991548,0.00010230675,0.00044356182,0.000018210534,0.0013612881,0.0043797973],"genre_scores_gemma":[0.4742626,0.000022984614,0.5233437,0.0006018028,0.00021903915,0.00024540478,0.000036369926,0.00010262308,0.0011654609],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879354,0.000015504136,0.0002911985,0.0002843837,0.00017653179,0.0004388238],"domain_scores_gemma":[0.99927396,0.000127033,0.000032729076,0.00037077218,0.000050572682,0.00014494208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017047269,0.0002568717,0.0002925976,0.00009395353,0.000070925074,0.000034170167,0.00028635885,0.00014209982,0.00017117627],"category_scores_gemma":[0.000043194974,0.00022541762,0.00014708751,0.00023746675,0.000046917146,0.00024260383,0.000025848069,0.00028761124,0.00010082559],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014485254,0.00038753366,0.0024731664,0.00027923632,0.0006082234,0.000030997566,0.00044419226,0.17143556,0.49766806,0.0056481296,0.22397088,0.09690916],"study_design_scores_gemma":[0.00087959645,0.00021380454,0.00005399596,0.000016524466,0.00012173229,0.000013321137,0.000047216537,0.43367445,0.39087752,0.012625454,0.16046652,0.0010098624],"about_ca_topic_score_codex":0.000011647536,"about_ca_topic_score_gemma":0.00000834642,"teacher_disagreement_score":0.4642705,"about_ca_system_score_codex":0.000040512976,"about_ca_system_score_gemma":0.000009434278,"threshold_uncertainty_score":0.9192264},"labels":[],"label_agreement":null},{"id":"W2003664631","doi":"10.1016/j.cad.2010.05.006","title":"Merging multiple -spline surface patches in a virtual reality environment","year":2010,"lang":"en","type":"article","venue":"Computer-Aided Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Western University","funders":"","keywords":"Image stitching; Computer science; Control point; Algorithm; Robustness (evolution); B-spline; Computer vision; Mathematics; Computer graphics (images); Artificial intelligence; Mathematical analysis","score_opus":0.019031705150364356,"score_gpt":0.23048492167637957,"score_spread":0.21145321652601523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003664631","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14949307,0.000048437345,0.849483,0.00006043198,0.00011277732,0.00019686125,0.0000031655532,0.00056220405,0.00004006072],"genre_scores_gemma":[0.6956177,0.000040310344,0.30417544,0.000025803134,0.00006952561,0.000017269516,0.0000073526335,0.00003158312,0.000015052106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986517,0.00007775724,0.0003976901,0.00034733696,0.00018365501,0.00034185228],"domain_scores_gemma":[0.9990049,0.00035100515,0.000051533105,0.0004639298,0.000014250582,0.000114381575],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034938872,0.00024793748,0.0003541773,0.00009147878,0.000044415883,0.000026592666,0.0002712777,0.000115848736,0.00003578161],"category_scores_gemma":[0.000034245153,0.00025005627,0.00008120755,0.00023398016,0.00005927293,0.00015986373,0.00010121982,0.00042929515,0.000044926524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010969652,0.00007310767,0.00067204185,0.000010250751,0.000022595073,0.000019391038,0.00010841776,0.84493726,0.12186021,0.00009734643,0.00035714358,0.03183125],"study_design_scores_gemma":[0.00027314373,0.00005880922,0.0012824705,0.000016483418,0.000009189119,0.0000032855776,0.0000086802065,0.93131554,0.06402209,0.0010344442,0.0016800049,0.00029585997],"about_ca_topic_score_codex":0.00004497628,"about_ca_topic_score_gemma":0.000020998936,"teacher_disagreement_score":0.5461246,"about_ca_system_score_codex":0.0000945193,"about_ca_system_score_gemma":0.000008055355,"threshold_uncertainty_score":0.9999952},"labels":[],"label_agreement":null},{"id":"W2003758148","doi":"10.1016/j.jat.2005.07.010","title":"Convergence rates of vector cascade algorithms in <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si1.gif\" overflow=\"scroll\"><mml:msub><mml:mrow><mml:mi>L</mml:mi></mml:mrow><mml:mrow><mml:mi>p</mml:mi></mml:mrow></mml:msub></mml:math>","year":2005,"lang":"lv","type":"article","venue":"Journal of Approximation Theory","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Alberta","keywords":"Mathematics; Algorithm; Sobolev space; Convergence (economics); Subdivision; Combinatorics; Discrete mathematics; Mathematical analysis","score_opus":0.01424848800330087,"score_gpt":0.24945860047844245,"score_spread":0.2352101124751416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003758148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6963056,0.0032898758,0.0325786,0.0008118917,0.0019153418,0.000061111095,0.00013778864,0.0002516552,0.26464817],"genre_scores_gemma":[0.9774837,0.0021193665,0.017174326,0.0006577741,0.0014508523,0.0003133038,0.0001854734,0.0004667012,0.00014849333],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99280953,0.00047991818,0.0023789299,0.00090727553,0.0019730083,0.0014513534],"domain_scores_gemma":[0.9936812,0.0014193658,0.0026680385,0.0013032015,0.00022805548,0.0007001221],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027303654,0.00065314694,0.00042113604,0.0007472913,0.00054837804,0.0004974236,0.0015592255,0.001438919,0.28643027],"category_scores_gemma":[0.0017413374,0.0011755623,0.0014970653,0.0013280003,0.0009486159,0.0019861676,0.0007203879,0.0017203467,0.00066806254],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024575167,0.0006960475,0.000036378304,0.0022093358,0.0029027874,0.0011631782,0.0050325715,0.03971218,0.02508454,0.7503956,0.15640037,0.013909519],"study_design_scores_gemma":[0.001190584,0.00088446506,0.000091559596,0.0010454456,0.00077165675,0.0007001848,0.0013948807,0.14708406,0.8438952,0.00093494635,0.0011000931,0.0009069372],"about_ca_topic_score_codex":0.00037900766,"about_ca_topic_score_gemma":0.0002362971,"teacher_disagreement_score":0.81881064,"about_ca_system_score_codex":0.00003723426,"about_ca_system_score_gemma":0.0007417801,"threshold_uncertainty_score":0.9998574},"labels":[],"label_agreement":null},{"id":"W2003780346","doi":"10.1016/j.cam.2012.04.021","title":"Planar two-point <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si17.gif\" display=\"inline\" overflow=\"scroll\"><mml:msup><mml:mrow><mml:mstyle mathvariant=\"normal\"><mml:mi>G</mml:mi></mml:mstyle></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msup></mml:math> Hermite interpolating log-aesthetic spirals","year":2012,"lang":"lv","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Planar; Point (geometry); Hermite polynomials; Scroll; Curvature; Spiral (railway); Algorithm; Zero (linguistics); Combinatorics; Geometry; Mathematical analysis; Computer graphics (images); Computer science","score_opus":0.014150812878675412,"score_gpt":0.24397892301597304,"score_spread":0.22982811013729762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003780346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6805164,0.0014292601,0.077231064,0.00072816666,0.0011997218,0.00007065889,0.0002360977,0.00027087168,0.23831771],"genre_scores_gemma":[0.9272314,0.0005286625,0.06861242,0.00081598526,0.0015791772,0.00025344093,0.0003776003,0.00049066806,0.00011070615],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99280244,0.00017009726,0.002463719,0.00084305933,0.0020922378,0.0016284242],"domain_scores_gemma":[0.993648,0.0015793382,0.0026527022,0.0010037385,0.00019055839,0.0009256887],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016545323,0.0008079776,0.00051649194,0.0004916591,0.00089667767,0.00089231547,0.0012261596,0.0011183335,0.054257844],"category_scores_gemma":[0.00060469704,0.0012916151,0.0013128092,0.0007886139,0.0008092162,0.0013590609,0.0009623121,0.0016405907,0.0006771202],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058631576,0.00047736554,0.000009173711,0.0016006994,0.0015205393,0.00062503177,0.0023503087,0.035289276,0.0022694524,0.9165013,0.03524969,0.0035208575],"study_design_scores_gemma":[0.0016425652,0.0009562987,0.000057791116,0.001538869,0.0014837668,0.003960879,0.0016269649,0.6057215,0.37826675,0.0019079605,0.0015305546,0.001306134],"about_ca_topic_score_codex":0.000119599994,"about_ca_topic_score_gemma":0.000058213533,"teacher_disagreement_score":0.91459334,"about_ca_system_score_codex":0.000026269247,"about_ca_system_score_gemma":0.0005145478,"threshold_uncertainty_score":0.99895334},"labels":[],"label_agreement":null},{"id":"W2004076585","doi":"10.1115/detc2010-28782","title":"A Fast Grid Deformation Algorithm for Aerodynamic Shape Optimization","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bombardier (Canada)","funders":"","keywords":"Aerodynamics; Mesh generation; Spline (mechanical); Grid; Computer science; Surface (topology); Algorithm; Mathematics; Geometry; Finite element method; Engineering; Structural engineering; Aerospace engineering","score_opus":0.003489946771727049,"score_gpt":0.21688522522216422,"score_spread":0.21339527845043718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004076585","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036049439,0.000004694642,0.99412537,0.000025694742,0.00012635863,0.00016034384,0.000009267574,0.0009121864,0.0010311623],"genre_scores_gemma":[0.0936217,0.000013453994,0.90597236,0.000033863238,0.00008522995,0.00007949929,0.000112636924,0.000021938517,0.000059312755],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995816,0.0000022849686,0.00014677025,0.00008353829,0.00006311886,0.00012270713],"domain_scores_gemma":[0.99976826,0.00001806938,0.00002033411,0.000110436,0.000048081904,0.000034843993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004668543,0.00008390081,0.000092594215,0.00006559088,0.000035081594,0.000018160068,0.000073240655,0.00005701886,0.00017283672],"category_scores_gemma":[0.000013759067,0.000074029456,0.0000474869,0.00014571377,0.000011057503,0.0002659416,0.00001007825,0.00008756646,0.000012597929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010636662,0.000011872642,0.0000091328775,0.0000128659485,0.000015169829,1.1865288e-7,0.000018533497,0.38144213,0.007196832,0.0002655699,0.0003626425,0.61066407],"study_design_scores_gemma":[0.000073830866,0.000012752286,0.000032721553,0.0000016985587,0.00000895147,0.0000016804531,0.000008218912,0.9945542,0.003906437,0.00027492107,0.0010219197,0.00010262838],"about_ca_topic_score_codex":0.000002978875,"about_ca_topic_score_gemma":0.00001579044,"teacher_disagreement_score":0.6131121,"about_ca_system_score_codex":0.000024899124,"about_ca_system_score_gemma":0.0000022799625,"threshold_uncertainty_score":0.30188337},"labels":[],"label_agreement":null},{"id":"W2004844174","doi":"10.1016/s0167-8396(99)00040-0","title":"Multi-point tool positioning strategy for 5-axis mashining of sculptured surfaces","year":2000,"lang":"en","type":"article","venue":"Computer Aided Geometric Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Point (geometry); Position (finance); Surface (topology); Curvature; Algorithm; Simple (philosophy); Multi point; Mathematics; Computer science; Geometry; Mechanical engineering; Engineering; Applied mathematics","score_opus":0.03148003885484185,"score_gpt":0.26022494705435983,"score_spread":0.22874490819951798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004844174","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014032557,0.00046612023,0.9842997,0.00001164714,0.00005323221,0.00039858074,0.000009081416,0.0005775817,0.00015147979],"genre_scores_gemma":[0.50162697,0.000040817693,0.49813306,0.000026097738,0.00003871267,0.00003173514,0.000012639142,0.000028398985,0.00006156444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986633,0.000049798164,0.00050119206,0.0002607547,0.0001781859,0.00034674752],"domain_scores_gemma":[0.99902594,0.00044473226,0.00007428599,0.00028039864,0.00010006371,0.00007459595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030790278,0.00023908424,0.000442893,0.0005601124,0.00007245707,0.000057671128,0.00027672361,0.00010134668,0.00013030179],"category_scores_gemma":[0.0000473501,0.00023547717,0.00017497345,0.001821456,0.000036000776,0.0002880997,0.000026427724,0.00014314179,0.000017151877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015162617,0.000040721905,0.000027939308,0.000047671994,0.00008973738,0.0000019763847,0.00006945093,0.7819327,0.002613127,0.000016445725,0.00062752125,0.21451752],"study_design_scores_gemma":[0.0005658454,0.00028789046,0.0009754114,0.000067712695,0.000045204397,0.0000046509704,0.000014491893,0.9645885,0.03197522,0.0007434235,0.00037361545,0.00035799283],"about_ca_topic_score_codex":0.0000096926915,"about_ca_topic_score_gemma":2.9739275e-7,"teacher_disagreement_score":0.48759443,"about_ca_system_score_codex":0.00007131446,"about_ca_system_score_gemma":0.000012066257,"threshold_uncertainty_score":0.960248},"labels":[],"label_agreement":null},{"id":"W2005621996","doi":"10.1016/j.jcta.2005.04.011","title":"Constructions of generalized Sidon sets","year":2005,"lang":"en","type":"article","venue":"Journal of Combinatorial Theory Series A","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Interleaving; Set (abstract data type); Integer (computer science); Property (philosophy); Mathematics; Yield (engineering); Combinatorics; Discrete mathematics; Computer science; Physics","score_opus":0.005009242748111012,"score_gpt":0.23367982182243097,"score_spread":0.22867057907431995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005621996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91615295,0.0019770227,0.06252763,0.00039861375,0.0048466744,0.00019961802,0.000016935934,0.0003430985,0.013537457],"genre_scores_gemma":[0.96983415,0.0002865837,0.029402995,0.000016449458,0.0003895029,0.0000018627788,7.182584e-7,0.000019866822,0.000047892332],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99902195,0.000068974085,0.000541924,0.00005258155,0.00018994867,0.00012461124],"domain_scores_gemma":[0.9992864,0.00008679615,0.0002323101,0.0001376595,0.00018560633,0.000071232935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027147259,0.000115779294,0.00038403552,0.0001283054,0.00003411902,0.000011291448,0.00017013085,0.00006575338,0.00018118085],"category_scores_gemma":[0.000094531424,0.00009986561,0.0001794291,0.00022149552,0.0001175868,0.00037368812,0.000020690974,0.00019472414,0.0000020034042],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007061555,0.0001683788,0.000117550466,0.000053585798,0.00059043523,0.000016186183,0.0004041041,0.019207157,0.091285124,0.8386619,0.0026619602,0.046127457],"study_design_scores_gemma":[0.0009891279,0.00029117134,0.000029383998,0.000044326294,0.00010693029,0.00013764463,0.00013508055,0.0003192778,0.25317788,0.6761823,0.06839567,0.0001911507],"about_ca_topic_score_codex":6.689103e-7,"about_ca_topic_score_gemma":3.2817223e-7,"teacher_disagreement_score":0.16247955,"about_ca_system_score_codex":0.00006226152,"about_ca_system_score_gemma":0.000019823441,"threshold_uncertainty_score":0.40724015},"labels":[],"label_agreement":null},{"id":"W2006355160","doi":"10.1145/2021164.2021190","title":"Neatening sketched strokes using piecewise French curves","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Curvature; Classification of discontinuities; Piecewise; Computer science; Sketch; Curve fitting; Algorithm; Set (abstract data type); Stroke (engine); Artificial intelligence; Mathematics; Geometry; Mathematical analysis; Machine learning","score_opus":0.04040905862886627,"score_gpt":0.24075403598717487,"score_spread":0.2003449773583086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006355160","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.094895996,0.00095898827,0.88369155,0.000008616572,0.000047107515,0.00007917732,0.0000017216014,0.0016354222,0.018681448],"genre_scores_gemma":[0.7418623,0.00014486177,0.25774002,0.000048758662,0.00002222095,0.0000072956323,0.0000022242443,0.000024894382,0.00014744702],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993372,0.000010483292,0.00018901093,0.00014025198,0.00010088598,0.00022219037],"domain_scores_gemma":[0.99966854,0.00001644459,0.00002255686,0.00019737179,0.000026502908,0.00006857773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005166523,0.00013900372,0.00019362613,0.00007328656,0.00003201574,0.000008739594,0.00013493736,0.000043302214,0.00055494043],"category_scores_gemma":[0.000016579044,0.00012177475,0.0000702708,0.000243246,0.000028919043,0.00021040915,0.000033319735,0.0001090682,0.000019318522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000277775,0.0004919536,0.096035756,0.001304822,0.0014715106,0.00017542062,0.0032573845,0.037048865,0.6468978,0.0043958025,0.0112455,0.19764742],"study_design_scores_gemma":[0.00028493736,0.00007502166,0.0076601184,0.00031359727,0.00020936434,0.000017951937,0.00019055806,0.3732664,0.6074353,0.007694599,0.001643465,0.0012086895],"about_ca_topic_score_codex":0.00016438763,"about_ca_topic_score_gemma":0.000007259925,"teacher_disagreement_score":0.6469663,"about_ca_system_score_codex":0.00003427759,"about_ca_system_score_gemma":0.0000036151546,"threshold_uncertainty_score":0.60762084},"labels":[],"label_agreement":null},{"id":"W2006539403","doi":"10.1016/j.cagd.2005.03.001","title":"Dyadic Hermite interpolation on a square mesh","year":2005,"lang":"en","type":"article","venue":"Computer Aided Geometric Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Hermite interpolation; Hermite polynomials; Square (algebra); Cubic Hermite spline; Exponent; Smoothness; Subdivision; Interpolation (computer graphics); Hermite spline; Matrix (chemical analysis); Mathematical analysis; Square matrix; Combinatorics; Geometry; Polynomial; Symmetric matrix; Spline interpolation; Smoothing spline; Linear interpolation; Nearest-neighbor interpolation; Frame (networking); Computer science","score_opus":0.017340819434928025,"score_gpt":0.23857461668693752,"score_spread":0.2212337972520095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006539403","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001977839,0.00037043006,0.9946622,0.0000605396,0.00013133483,0.00021609572,0.0000016536427,0.0013100827,0.0012698272],"genre_scores_gemma":[0.71736103,0.000052991625,0.2817741,0.00028840403,0.00027349082,0.000029873441,0.000007972558,0.000042954838,0.00016920651],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877995,0.000053457792,0.00032904392,0.0002855626,0.00024667298,0.000305317],"domain_scores_gemma":[0.99915123,0.00028599676,0.000051863477,0.0003432557,0.000054177523,0.000113465925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017338932,0.00023398905,0.00028922514,0.0012380423,0.000047207963,0.000053267344,0.0002649839,0.00008935658,0.00015923307],"category_scores_gemma":[0.000042627118,0.00022494762,0.00011949413,0.0025514734,0.000020659734,0.00024922844,0.00004443543,0.00022442004,0.0004936657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013315122,0.00006477268,0.00006818334,0.00001927479,0.000069590016,0.000009519408,0.000054405988,0.21541567,0.00046417417,0.00010384164,0.022670066,0.7610472],"study_design_scores_gemma":[0.00027885835,0.0002663115,0.0010282082,0.000050067447,0.000025309415,0.000008373062,0.0000027986964,0.9757962,0.0069103693,0.00061589386,0.014646583,0.000370978],"about_ca_topic_score_codex":0.0000016672655,"about_ca_topic_score_gemma":3.9812863e-7,"teacher_disagreement_score":0.7606762,"about_ca_system_score_codex":0.00018685879,"about_ca_system_score_gemma":0.0000060570615,"threshold_uncertainty_score":0.91730976},"labels":[],"label_agreement":null},{"id":"W2007252203","doi":"10.4204/eptcs.31.3","title":"L-systems in Geometric Modeling","year":2010,"lang":"en","type":"article","venue":"Electronic Proceedings in Theoretical Computer Science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Affine transformation; Geometric design; Context (archaeology); Parametric equation; Bézier curve; Geometric modeling; Subdivision; Parametric statistics; Interpretation (philosophy); Computer science; Parametric model; Mathematics; Algorithm; Geometry; Engineering","score_opus":0.003667448773009969,"score_gpt":0.22192843542164592,"score_spread":0.21826098664863594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007252203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5189245,0.00011067287,0.4785886,0.000037370864,0.0001203892,0.0001221864,1.1853655e-7,0.00028240524,0.0018137781],"genre_scores_gemma":[0.9855784,0.00003330583,0.014239003,0.00002514473,0.00007325537,0.00003195142,1.943965e-7,0.000017598226,0.0000011503063],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979477,0.0000046226796,0.00032865693,0.00042865475,0.00037943077,0.0009109157],"domain_scores_gemma":[0.9995858,0.000050149756,0.000023066716,0.00014991457,0.00008192929,0.000109125416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001176427,0.00016781618,0.00023997974,0.00091068156,0.00005707801,0.00012231497,0.00082260027,0.00008275354,0.000010160622],"category_scores_gemma":[0.00014327768,0.00015353212,0.000033162247,0.0045171487,0.00045454458,0.00045232798,0.00014619027,0.00096345897,0.000007915359],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034658765,0.00002933352,0.00038283961,0.00001495595,0.0000019716733,0.0000020385178,0.00008413116,0.04222641,0.011532408,0.93469787,0.0000045749275,0.011020013],"study_design_scores_gemma":[0.00008388302,0.000042925258,0.000074571086,0.000016994956,0.0000013947906,0.000012023272,0.000004723249,0.8719109,0.0041243164,0.12350856,0.00004912881,0.00017058209],"about_ca_topic_score_codex":0.0000065382064,"about_ca_topic_score_gemma":0.0000038479675,"teacher_disagreement_score":0.8296845,"about_ca_system_score_codex":0.00027503647,"about_ca_system_score_gemma":0.000039311017,"threshold_uncertainty_score":0.6260858},"labels":[],"label_agreement":null},{"id":"W2007276769","doi":"10.1080/16864360.2007.10738524","title":"Flank Millable Surfaces Generated via Polynomial Composition","year":2007,"lang":"en","type":"article","venue":"Computer-Aided Design and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Flank; Conical surface; Machining; Surface (topology); Mechanical engineering; Ruled surface; Polynomial; Engineering drawing; Geometry; Computer science; Materials science; Engineering; Mathematics; Mathematical analysis","score_opus":0.010422630720646352,"score_gpt":0.23211550977488202,"score_spread":0.22169287905423565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007276769","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011427241,0.0003910032,0.986814,0.00004806889,0.000028984805,0.00033327303,0.0000032382854,0.0007367982,0.00021739745],"genre_scores_gemma":[0.56879824,0.00009566604,0.43064433,0.00013875635,0.00017168098,0.000062666964,0.000042634034,0.000022324059,0.00002369937],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992668,0.000019497073,0.00023236257,0.0002040332,0.00007651179,0.0002007727],"domain_scores_gemma":[0.9994865,0.00013472425,0.000033937213,0.00019011884,0.000051088173,0.00010362929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001257499,0.00014071068,0.0001699143,0.00009218047,0.00013250257,0.00004308705,0.0001125853,0.00009086272,0.000008901165],"category_scores_gemma":[0.0000011926352,0.00014323479,0.000033184664,0.0003610216,0.000045089164,0.000090279755,0.000027195925,0.000126216,0.000028201974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017507331,0.00009075529,0.00008150447,0.000031775937,0.000084118794,0.0000043801233,0.00004811978,0.16703841,0.5922741,0.0007430677,0.0109472135,0.22863904],"study_design_scores_gemma":[0.00021163684,0.000047266345,0.0005239403,0.000009990679,0.000030485817,0.000013161928,0.0000036640072,0.83443254,0.13771632,0.0013228958,0.025375476,0.00031263445],"about_ca_topic_score_codex":0.000008795931,"about_ca_topic_score_gemma":0.0000015195978,"teacher_disagreement_score":0.6673941,"about_ca_system_score_codex":0.000042191346,"about_ca_system_score_gemma":0.0000046121877,"threshold_uncertainty_score":0.5840945},"labels":[],"label_agreement":null},{"id":"W2007323531","doi":"10.1115/detc2014-34135","title":"A Generic Approach to Modeling Geometry of Un-Deformed Chip by Mathematical Representing Envelopes of Swept Cutter in Five-Axis CNC Milling","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China","keywords":"Interpolation (computer graphics); Kinematics; Chip; Machining; Process (computing); Geometry; Machine tool; Computer science; Milling cutter; Cartesian coordinate system; Numerical control; Kernel (algebra); Envelope (radar); Representation (politics); Mechanical engineering; Engineering drawing; Engineering; Mathematics; Computer vision; Motion (physics); Physics","score_opus":0.011689066938035843,"score_gpt":0.2236683840427887,"score_spread":0.21197931710475285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007323531","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4090507,0.00005495973,0.58823234,0.000012809887,0.0000046941254,0.00009639386,0.0000012417793,0.00009994577,0.0024469078],"genre_scores_gemma":[0.675414,0.00001779822,0.32442662,0.00003186936,0.000012299846,0.000025562227,0.0000050368726,0.000026744954,0.0000400546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984328,0.000029056093,0.00071461516,0.00027350272,0.00024472456,0.00030527852],"domain_scores_gemma":[0.99936,0.000100643,0.000067923545,0.00034593363,0.00004807707,0.000077375764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032798894,0.0001880955,0.0005478956,0.00031515604,0.000018581852,0.000008032261,0.0002479999,0.00008942646,0.000042212283],"category_scores_gemma":[0.00016612963,0.00015875253,0.00011265501,0.0008286365,0.000027641001,0.00011126699,0.00008733487,0.00015657896,0.000005579059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000752864,0.00012414079,0.0007395355,0.00037908106,0.00007382645,2.9455686e-7,0.00061882235,0.9194575,0.06947172,0.00034477664,0.000114510294,0.008668274],"study_design_scores_gemma":[0.00009688116,0.000016836531,0.000026490447,0.00004842556,0.00001381435,0.000001153831,0.00009264992,0.87440264,0.12275255,0.0023475296,0.000031708958,0.00016931763],"about_ca_topic_score_codex":0.000057983998,"about_ca_topic_score_gemma":0.0000016413046,"teacher_disagreement_score":0.26636332,"about_ca_system_score_codex":0.000039612056,"about_ca_system_score_gemma":0.0000030278206,"threshold_uncertainty_score":0.64737403},"labels":[],"label_agreement":null},{"id":"W2007581571","doi":"10.1142/s0219467806002343","title":"FREEFORM SURFACE RECONSTRUCTION FROM SCATTERED POINTS USING A DEFORMABLE SPHERICAL MAP","year":2006,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Rehabilitation; Western University","funders":"","keywords":"Surface (topology); Parametric surface; Process (computing); Surface reconstruction; Feature (linguistics); Computer science; Artificial intelligence; Parametric statistics; Coordinate system; Computer vision; Data point; Algorithm; Mathematics; Geometry","score_opus":0.006503877746537573,"score_gpt":0.2344470762656905,"score_spread":0.22794319851915293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007581571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73971057,0.00032764304,0.25932074,0.0001857405,0.00024784243,0.000019882977,0.000013713185,0.000035022764,0.00013882543],"genre_scores_gemma":[0.8282691,0.00021353753,0.17119518,0.00006010689,0.00023222475,2.8292914e-7,0.000006972866,0.000013662855,0.000008892895],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921083,0.000011156389,0.0003695224,0.00007207774,0.00023523234,0.0001011776],"domain_scores_gemma":[0.9994919,0.00003168751,0.00014601107,0.00005804958,0.00022719888,0.000045175308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008597065,0.00009806542,0.00016358437,0.000106873435,0.000028379643,0.000060933482,0.00013976709,0.00004855103,0.000037395203],"category_scores_gemma":[0.000012391844,0.00008532366,0.00009935594,0.000112014925,0.000063980595,0.0005923678,0.00002426916,0.00018744593,0.000001977778],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037306978,0.0003367136,0.13698012,0.00007527092,0.0019654254,0.000569035,0.00025781998,0.053137925,0.71659017,0.0012674202,0.005911216,0.08253584],"study_design_scores_gemma":[0.002553216,0.00017842473,0.023084415,0.00055223453,0.00030013526,0.0020664306,0.00029236067,0.5404169,0.18643217,0.23616925,0.0069398433,0.0010146035],"about_ca_topic_score_codex":0.00017864665,"about_ca_topic_score_gemma":0.000021861439,"teacher_disagreement_score":0.530158,"about_ca_system_score_codex":0.00006918646,"about_ca_system_score_gemma":0.000008722544,"threshold_uncertainty_score":0.34793982},"labels":[],"label_agreement":null},{"id":"W2007694568","doi":"10.1145/1576702.1576712","title":"Fast algorithms for differential equations in positive characteristic","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Differential equation; Algorithm; Applied mathematics; Mathematics; Mathematical analysis","score_opus":0.01123092698693494,"score_gpt":0.2687536630660052,"score_spread":0.2575227360790702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007694568","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057470845,0.000010729855,0.9927762,0.000082530496,0.000023109968,0.00014155071,0.0000140562715,0.00042356082,0.00078113796],"genre_scores_gemma":[0.96869975,0.000007093618,0.030951641,0.000053433207,0.00004267215,0.000036520043,0.000047588117,0.0000087339995,0.00015253869],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958485,0.0000042270444,0.00013659534,0.00009173395,0.000047641763,0.00013497354],"domain_scores_gemma":[0.99982303,0.000047744044,0.000011092075,0.00007129899,0.00001830358,0.000028528535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000152155435,0.000077858516,0.00012614367,0.00007601946,0.000017159153,0.000011208225,0.00005388571,0.000030183277,0.00004331177],"category_scores_gemma":[0.000018990468,0.00007151627,0.000043960645,0.00013159541,0.0000071221975,0.00007715459,0.0000047667363,0.00005473668,0.000006967135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037843638,0.00039293154,0.00015003802,0.000031186162,0.00009538065,0.000010185093,0.00042858612,0.010658327,0.16207504,0.017156718,0.00075308786,0.8082107],"study_design_scores_gemma":[0.0002137217,0.00008718809,0.014425629,0.000013699161,0.000017824561,5.8297695e-7,0.000015547717,0.9644961,0.014700753,0.005680824,0.00014236211,0.00020578827],"about_ca_topic_score_codex":0.0000039669612,"about_ca_topic_score_gemma":0.0000052438413,"teacher_disagreement_score":0.9629527,"about_ca_system_score_codex":0.00004531112,"about_ca_system_score_gemma":0.0000016477233,"threshold_uncertainty_score":0.29163486},"labels":[],"label_agreement":null},{"id":"W2007801781","doi":"10.1109/mace.2010.5536854","title":"A new container-type interpolation algorithm and acceleration/deceleration control","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Interpolation (computer graphics); Acceleration; Container (type theory); Computer science; Process (computing); Algorithm; Trajectory; Control theory (sociology); Control (management); Engineering; Motion (physics); Computer vision; Artificial intelligence; Mechanical engineering","score_opus":0.004240998625354955,"score_gpt":0.22676599310445647,"score_spread":0.2225249944791015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007801781","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0068632164,0.00003328461,0.9904585,0.00015614256,0.00011267587,0.000118690325,9.4316624e-7,0.0005341358,0.0017224408],"genre_scores_gemma":[0.76121056,0.000016492611,0.2382237,0.00012139247,0.000119793825,0.0000068012305,0.000011408628,0.000012900702,0.0002769186],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99956733,0.000006438885,0.0001534575,0.00010792725,0.00006929687,0.0000955614],"domain_scores_gemma":[0.99972385,0.000031252726,0.000018811405,0.000101718746,0.000055840363,0.000068532354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045279896,0.00009392905,0.00011746846,0.00006059632,0.000033738026,0.00005268861,0.000044009066,0.00006355495,0.0002877449],"category_scores_gemma":[0.000026121916,0.00008293916,0.00002008803,0.00012475294,0.000011930934,0.00028642538,0.000008064345,0.00014361083,0.000014423483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010548019,0.000011594971,0.00051851594,0.0000055291844,0.00004689964,0.0000010661865,0.00008040253,0.00072989974,0.41571152,0.0049057556,0.0041228714,0.5738554],"study_design_scores_gemma":[0.00034038204,0.000047746187,0.0009053474,0.0000026408532,0.000018092762,0.000004649397,0.000011719238,0.96666265,0.019926915,0.0029983823,0.008916471,0.00016501755],"about_ca_topic_score_codex":0.000039027993,"about_ca_topic_score_gemma":0.00008215644,"teacher_disagreement_score":0.9659327,"about_ca_system_score_codex":0.000012491267,"about_ca_system_score_gemma":0.0000073222004,"threshold_uncertainty_score":0.33821607},"labels":[],"label_agreement":null},{"id":"W2009199764","doi":"10.1007/s11012-011-9487-0","title":"On the reduction of the normality conditions in equality-constrained optimization problems in mechanics","year":2011,"lang":"en","type":"article","venue":"Meccanica","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Mathematics; Lagrange multiplier; Reduction (mathematics); Applied mathematics; Jacobian matrix and determinant; Mathematical optimization; Normality; Nonlinear system; Optimization problem; Nonlinear programming","score_opus":0.024932244259863536,"score_gpt":0.23685611401028012,"score_spread":0.21192386975041658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009199764","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16103591,0.000036750553,0.8193791,0.0007079151,0.00020270978,0.0012122951,0.000036489593,0.00037012063,0.017018707],"genre_scores_gemma":[0.9970674,0.000018687388,0.002793266,0.00003116213,0.0000049884784,0.00006221733,0.0000040879863,0.000009651472,0.00000851803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993012,0.00009601406,0.00029170435,0.00009847882,0.000101623795,0.000110993155],"domain_scores_gemma":[0.999587,0.00004677264,0.00006320988,0.0002645328,0.00002419344,0.000014263978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003011333,0.0000765693,0.00012283056,0.000055263863,0.000027113323,0.0000032149298,0.00016538263,0.000049726135,0.00012435],"category_scores_gemma":[0.00007976719,0.000050300012,0.000045599187,0.00051321887,0.00003950649,0.00007272565,0.000024172827,0.00017909582,0.0000017169067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008338512,0.0001076829,0.00014275104,0.000031033345,0.000022365892,3.2658932e-7,0.0008243476,0.8447604,0.011985909,0.14161447,0.00006433769,0.00043801757],"study_design_scores_gemma":[0.00044782445,0.00010759073,0.0029054824,0.0002254056,0.000042629395,0.0000047269073,0.0004903848,0.6049724,0.1005032,0.28983963,0.00009507919,0.0003656096],"about_ca_topic_score_codex":0.00012907188,"about_ca_topic_score_gemma":0.00011586057,"teacher_disagreement_score":0.8360315,"about_ca_system_score_codex":0.00007617136,"about_ca_system_score_gemma":0.000011181678,"threshold_uncertainty_score":0.2051175},"labels":[],"label_agreement":null},{"id":"W2009620679","doi":"10.1016/j.cam.2003.12.038","title":"An arc spline approximation to a clothoid","year":2004,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Spline (mechanical); Arc (geometry); Mathematical analysis; Applied mathematics; Geometry","score_opus":0.008509015132004739,"score_gpt":0.2536457600069812,"score_spread":0.24513674487497644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009620679","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15677816,0.000019353449,0.8426555,0.000111679394,0.000011248775,0.00006328883,0.0000012415336,0.000050642906,0.0003089296],"genre_scores_gemma":[0.47119913,0.0000049287905,0.52869606,0.00004467284,0.00004211442,0.0000021977792,0.0000016136256,0.000007910214,0.0000013813334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99933803,0.0000021108801,0.00033932136,0.00005134154,0.00019619535,0.000073009665],"domain_scores_gemma":[0.99964863,0.000040492712,0.00009523297,0.00004992113,0.00007282546,0.00009288069],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011476366,0.00008390386,0.0001888761,0.000106169166,0.00002610014,0.000023283612,0.00007427488,0.000024077322,0.000004330328],"category_scores_gemma":[0.0000092766,0.00006905529,0.00003122466,0.00014372326,0.00001510193,0.00009443454,0.0000093198005,0.00008695106,0.0000043739706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005631879,0.00008136247,9.740992e-7,0.000047473546,0.000020359885,0.0000012890142,0.0003275193,0.93483424,0.008572228,0.04938925,0.000025080457,0.006694597],"study_design_scores_gemma":[0.0004106727,0.00012465352,0.00010655509,0.000056226763,0.000033664925,0.000083698935,0.0001489133,0.12209663,0.011163746,0.86532634,0.00028779553,0.0001610973],"about_ca_topic_score_codex":1.4605367e-7,"about_ca_topic_score_gemma":1.9019265e-7,"teacher_disagreement_score":0.8159371,"about_ca_system_score_codex":0.00003314684,"about_ca_system_score_gemma":0.000009693713,"threshold_uncertainty_score":0.2815993},"labels":[],"label_agreement":null},{"id":"W2009821032","doi":"10.1007/s00170-010-2799-8","title":"Vector model-based workpiece update in multi-axis milling by moving surface of revolution","year":2010,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Envelope (radar); Intersection (aeronautics); Surface (topology); Machining; Nonlinear system; Algorithm; Mathematical analysis; Geometry; Engineering; Mathematics; Mechanical engineering; Physics","score_opus":0.0061792572990375496,"score_gpt":0.24670416251539523,"score_spread":0.2405249052163577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009821032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64806503,0.00028130485,0.35060203,0.00068106083,0.00019244422,0.000056395016,0.000005662378,0.00010603259,0.000010010893],"genre_scores_gemma":[0.815982,0.00026671027,0.18366039,0.00003106586,0.000020188414,0.0000036936374,0.0000023445436,0.000023671068,0.0000099354065],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99874794,0.000014039619,0.00060763274,0.00013911279,0.00028219205,0.00020906344],"domain_scores_gemma":[0.9991002,0.00010384763,0.0003487986,0.0002533787,0.00015978886,0.000034005006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025565823,0.00016818286,0.00030118256,0.00039557053,0.000028345166,0.000010478255,0.0009559054,0.00013887232,0.000013820963],"category_scores_gemma":[0.0001336429,0.00013764249,0.00010234239,0.00018431948,0.00012452508,0.00022204309,0.00008741881,0.00087247184,0.0000020408781],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003238107,0.000026079402,0.000089652414,0.0000056645836,0.000031411048,0.000004755742,0.000011324617,0.54000235,0.4528544,0.00010420837,0.000024588933,0.006813179],"study_design_scores_gemma":[0.00037628767,0.000028973132,0.000076785785,0.00007118886,0.000010763436,0.00001586428,0.000023893776,0.17700279,0.81694967,0.004859466,0.00047057684,0.00011377453],"about_ca_topic_score_codex":0.000007840435,"about_ca_topic_score_gemma":0.00003259079,"teacher_disagreement_score":0.36409524,"about_ca_system_score_codex":0.0001713834,"about_ca_system_score_gemma":0.000020140164,"threshold_uncertainty_score":0.5612898},"labels":[],"label_agreement":null},{"id":"W2010092766","doi":"10.1016/s0167-8396(02)00161-9","title":"Convex subdivision of a Bézier curve","year":2002,"lang":"en","type":"article","venue":"Computer Aided Geometric Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Mathematics; Bézier curve; Subdivision; Regular polygon; Combinatorics; Geometry; Geography","score_opus":0.029770034805428523,"score_gpt":0.21671549996318368,"score_spread":0.18694546515775515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010092766","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030905947,0.0015537757,0.9938183,0.000012698117,0.00012633624,0.00016443724,0.000002198921,0.0005515319,0.0006801195],"genre_scores_gemma":[0.8068527,0.0003024408,0.19257528,0.000048554426,0.000065213746,0.000012491411,0.000002594877,0.000032010706,0.000108691514],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99879164,0.000053762444,0.00038352952,0.00022993033,0.0002683193,0.00027282513],"domain_scores_gemma":[0.9990044,0.00037931994,0.00006836294,0.00035756215,0.00009291424,0.00009743819],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019493474,0.00019121161,0.0004052075,0.00094592886,0.00002757507,0.000019756353,0.0002975449,0.000084218744,0.0002875279],"category_scores_gemma":[0.00006494138,0.00017966855,0.00012537584,0.0032381094,0.0000457672,0.00016205957,0.00006617495,0.00015726851,0.00013693538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008234181,0.00018883454,0.00067839125,0.000097656564,0.00019356616,0.000028990216,0.00012453772,0.10301226,0.0017841515,0.00019918733,0.050412696,0.8432715],"study_design_scores_gemma":[0.0002960339,0.00021772132,0.0012468215,0.00003727343,0.000031917236,0.000007170305,0.000001958464,0.97064817,0.022080999,0.0010934209,0.0040257247,0.00031281024],"about_ca_topic_score_codex":0.00000310033,"about_ca_topic_score_gemma":5.7703378e-8,"teacher_disagreement_score":0.8676359,"about_ca_system_score_codex":0.000053810818,"about_ca_system_score_gemma":0.0000024619785,"threshold_uncertainty_score":0.73266715},"labels":[],"label_agreement":null},{"id":"W2011059189","doi":"10.1115/detc2002/cie-34485","title":"An Automated and Optimal Tool Path Planning System for the 3-1/2-1/2-Axis CNC Maching of Sculptured Parts","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"University of Victoria","keywords":"Machining; Numerical control; Cutter location; Voronoi diagram; Tool path; Tilt (camera); Machine tool; Engineering drawing; Motion planning; Medial axis; Computer science; Surface (topology); Orientation (vector space); Mechanical engineering; Engineering; Geometry; Computer vision; Mathematics; Artificial intelligence; Robot","score_opus":0.012520386405026026,"score_gpt":0.2590483794007504,"score_spread":0.24652799299572434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011059189","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.118857145,0.0011151707,0.8758048,0.000028115932,0.000042841166,0.0003537135,0.000014221242,0.0031828065,0.00060118176],"genre_scores_gemma":[0.94859374,0.000015559937,0.051241618,0.000015610103,0.000026775848,0.000052369185,0.0000046159626,0.000025819489,0.000023900106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929416,0.000018572842,0.00024637542,0.00014936575,0.00010454668,0.00018694995],"domain_scores_gemma":[0.99953586,0.0001245144,0.000043008786,0.00022433673,0.000028569904,0.00004371241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012957443,0.00013498515,0.00022806914,0.000048415674,0.00008929567,0.00002904999,0.00012582484,0.000056216377,0.000015420776],"category_scores_gemma":[0.000021076723,0.00008982047,0.000058658006,0.00013437326,0.000029102242,0.00015358163,0.000019134031,0.00008117654,0.0000010439524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023544399,0.00005454181,0.0010493661,0.00049423333,0.000312494,0.000010523623,0.0013273158,0.92303735,0.0370421,0.0015209247,0.0023949402,0.03273269],"study_design_scores_gemma":[0.00012475588,0.000050291048,0.00028956291,0.000044657518,0.000041597283,0.000006209696,0.00023146087,0.98885864,0.009650107,0.000015567202,0.0005602507,0.00012690028],"about_ca_topic_score_codex":0.000011618222,"about_ca_topic_score_gemma":7.291318e-7,"teacher_disagreement_score":0.8297366,"about_ca_system_score_codex":0.000027192236,"about_ca_system_score_gemma":0.0000011073669,"threshold_uncertainty_score":0.36627722},"labels":[],"label_agreement":null},{"id":"W2011116398","doi":"10.48550/arxiv.0706.1773","title":"The Stokes phenomenon in the confluence of the hypergeometric equation using Riccati equation","year":2007,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Confluence; Riccati equation; Phenomenon; Mathematics; Confluent hypergeometric function; Hypergeometric distribution; Mathematical analysis; Hypergeometric function; Pure mathematics; Differential equation; Physics; Computer science; Quantum mechanics","score_opus":0.09359231737898224,"score_gpt":0.30575551572111914,"score_spread":0.2121631983421369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2011116398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77481437,0.0015084338,0.22232261,0.000118972195,0.00016598523,0.00043279325,0.000003808373,0.00009300055,0.00054003386],"genre_scores_gemma":[0.9977699,0.0004984549,0.0014763772,0.00007983599,0.00006678105,0.00005317663,0.000009347763,0.00002986595,0.000016252972],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99832386,0.00014441274,0.00058892247,0.0002446999,0.0004329199,0.00026521544],"domain_scores_gemma":[0.9981309,0.000622273,0.00030851376,0.0007975139,0.00011849296,0.00002230492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009932561,0.00023038714,0.00026849465,0.0002587581,0.00013916111,0.000033897388,0.0008375231,0.0001541683,0.000005633644],"category_scores_gemma":[0.00045609396,0.00013037045,0.00013108067,0.0016767476,0.00012521766,0.00010725955,0.00021554872,0.00065208145,0.000006313215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010347027,0.00006806876,0.13041182,0.00012805806,0.000104906576,0.0000013391436,0.0011790004,0.8296851,0.014668054,0.0007745044,0.00002270411,0.022946084],"study_design_scores_gemma":[0.00028526539,0.00005176134,0.4943347,0.00034875062,0.0002644561,0.0000030961662,0.000763378,0.45647767,0.031449843,0.013143168,0.0020794438,0.00079846656],"about_ca_topic_score_codex":0.00021272071,"about_ca_topic_score_gemma":0.000030612413,"teacher_disagreement_score":0.37320745,"about_ca_system_score_codex":0.00026535927,"about_ca_system_score_gemma":0.000031404114,"threshold_uncertainty_score":0.5316353},"labels":[],"label_agreement":null},{"id":"W2012271812","doi":"10.1115/detc2005-84611","title":"A New High Precision Fitting Approach for NURBS Tool Paths Generation","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interpolation (computer graphics); Computer science; Process (computing); Algorithm; Surface (topology); Machine tool; Function (biology); Engineering drawing; Engineering; Geometry; Artificial intelligence; Mathematics; Motion (physics); Mechanical engineering","score_opus":0.01346884129684228,"score_gpt":0.24314365131880847,"score_spread":0.22967481002196619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012271812","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066292915,0.00008222901,0.99050516,0.000057866804,0.000025115716,0.00023101662,0.000001675412,0.00072813866,0.0017394898],"genre_scores_gemma":[0.30002812,0.0000148492045,0.6985369,0.000049957067,0.00035830424,0.000050347513,0.000029548955,0.000019242629,0.0009128029],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999373,0.00000614641,0.00020777604,0.0001637532,0.000097869975,0.00015144584],"domain_scores_gemma":[0.9997194,0.000034316952,0.000021266194,0.00015628972,0.000026219335,0.00004253202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007853672,0.00010480152,0.00013361646,0.000047673602,0.000038123668,0.000025925396,0.000081182094,0.00005865833,0.000071252194],"category_scores_gemma":[0.00003852618,0.00008989808,0.0000641619,0.00013334039,0.0000035200173,0.00020823174,0.000014759813,0.00005894152,0.000010311305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029888515,0.000014646415,0.000008657919,0.000008992287,0.000013856399,7.504226e-8,0.000031768162,0.19350804,0.036206793,0.0010000485,0.013361994,0.75584215],"study_design_scores_gemma":[0.00012360582,0.000020530855,0.000018895515,0.0000030757492,0.0000116856345,6.2181044e-7,0.0000048945512,0.87012804,0.11475126,0.00064443954,0.014157356,0.0001356045],"about_ca_topic_score_codex":0.000008811063,"about_ca_topic_score_gemma":0.000003879553,"teacher_disagreement_score":0.75570655,"about_ca_system_score_codex":0.00006497818,"about_ca_system_score_gemma":0.0000044506723,"threshold_uncertainty_score":0.36659372},"labels":[],"label_agreement":null},{"id":"W2012275781","doi":"10.1002/pamm.200700359","title":"The 3D asymptote generalization of MetaPost Bézier interpolation","year":2007,"lang":"en","type":"article","venue":"PAMM","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Asymptote; Affine transformation; Computer science; Bézier curve; Computer graphics (images); Invariant (physics); Interpolation (computer graphics); Simplex; Applied mathematics; Mathematics; Algebra over a field; Mathematical optimization; Pure mathematics; Geometry","score_opus":0.005227096231499999,"score_gpt":0.24249418508282808,"score_spread":0.23726708885132808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012275781","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.014978088,0.00029139474,0.9809896,0.00002545971,0.000053941425,0.000047739723,8.349487e-7,0.00014714552,0.003465791],"genre_scores_gemma":[0.9764237,0.000094116636,0.023306465,0.000019381328,0.0000375955,0.000003151949,0.000006530767,0.000011990966,0.00009707272],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959034,0.000008926089,0.00017182039,0.000051330484,0.000084408064,0.00009318664],"domain_scores_gemma":[0.99974024,0.00005173275,0.000033640234,0.000120458695,0.00003591503,0.000018014473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016010915,0.00005212471,0.000072003044,0.00004003285,0.00002887659,0.000006362611,0.000067262816,0.000026350363,0.00001661626],"category_scores_gemma":[0.000033035663,0.000037222235,0.000035077617,0.00019252358,0.00002042427,0.00006110785,0.000011965032,0.000044602366,0.0000066777798],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002613605,0.000030329562,0.0036193768,0.00003828908,0.00022296952,0.0000016996672,0.00041304925,0.031830635,0.3720863,0.009658358,0.0012248289,0.58084804],"study_design_scores_gemma":[0.0001310913,0.00003959065,0.005650206,0.000020449577,0.00006891692,0.0000018264922,0.00004953781,0.4944221,0.42749584,0.005112109,0.06676277,0.00024557137],"about_ca_topic_score_codex":0.000008728297,"about_ca_topic_score_gemma":0.000023005086,"teacher_disagreement_score":0.9614456,"about_ca_system_score_codex":0.000023279938,"about_ca_system_score_gemma":0.0000012924716,"threshold_uncertainty_score":0.15178786},"labels":[],"label_agreement":null},{"id":"W2013286893","doi":"10.1007/s00211-007-0112-z","title":"Bivariate Lagrange interpolation at the Padua points: the ideal theory approach","year":2007,"lang":"en","type":"article","venue":"Numerische Mathematik","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Mathematics; Lagrange polynomial; Interpolation (computer graphics); Trigonometric interpolation; Birkhoff interpolation; Bivariate analysis; Ideal (ethics); Polynomial interpolation; Applied mathematics; Spline interpolation; Nearest-neighbor interpolation; Linear interpolation; Inverse quadratic interpolation; Convergence (economics); Bilinear interpolation; Combinatorics; Algebra over a field; Mathematical analysis; Pure mathematics; Polynomial; Statistics; Law","score_opus":0.01052672511055293,"score_gpt":0.24305152999948296,"score_spread":0.23252480488893001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013286893","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008732024,0.00067798805,0.9460403,0.00028603864,0.00007684349,0.00033744308,0.0000059066183,0.0006902199,0.04315324],"genre_scores_gemma":[0.9480831,0.00006141884,0.050356086,0.00033986563,0.00015974745,0.00010181078,0.000019292844,0.00009110655,0.0007875871],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99858874,0.000101500555,0.00042963572,0.00021845604,0.000303083,0.00035855742],"domain_scores_gemma":[0.9986484,0.00048309434,0.00011901759,0.0006490107,0.000039361315,0.0000611042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015503087,0.00025081914,0.00025731832,0.00007103769,0.00021763428,0.000049636474,0.00046251624,0.000097552074,0.00028124807],"category_scores_gemma":[0.000117337506,0.0001313962,0.0001715489,0.00045555568,0.0001310106,0.00015884334,0.00013262109,0.0003506805,0.00021709602],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050793804,0.0007717046,0.0013557295,0.0009306823,0.002580604,0.00003747807,0.038183726,0.0052653323,0.17107013,0.4034229,0.071035944,0.30483782],"study_design_scores_gemma":[0.0011479218,0.00015985235,0.003881031,0.00021315519,0.00069155765,0.00024252423,0.007871365,0.298088,0.06585,0.4363574,0.18317899,0.0023181608],"about_ca_topic_score_codex":0.000014309379,"about_ca_topic_score_gemma":0.000011440565,"teacher_disagreement_score":0.9393511,"about_ca_system_score_codex":0.0000800682,"about_ca_system_score_gemma":0.0000038583835,"threshold_uncertainty_score":0.53581816},"labels":[],"label_agreement":null},{"id":"W2014637986","doi":"10.1145/1364901.1364956","title":"Parametric triangular Bézier surface interpolation with approximate continuity","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Interpolation (computer graphics); Mathematics; Piecewise; Quintic function; Boundary (topology); Smoothness; Topology (electrical circuits); Surface (topology); Parametric statistics; Parametric surface; Triangle mesh; Discontinuity (linguistics); Scheme (mathematics); Bézier curve; Mathematical analysis; Geometry; Computer science; Combinatorics; Polygon mesh","score_opus":0.009921674156839323,"score_gpt":0.21693565566400183,"score_spread":0.20701398150716252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014637986","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30264106,0.00008401653,0.690667,0.000012252733,0.000012429399,0.00011198031,0.0000010703418,0.0008799587,0.0055902917],"genre_scores_gemma":[0.8801271,0.000043609696,0.11932663,0.000020582931,0.000011558086,0.000007651403,0.0000050298427,0.00002099368,0.000436862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993718,0.000014335377,0.00016681652,0.0001416072,0.00013778443,0.0001676444],"domain_scores_gemma":[0.99964374,0.000042821546,0.000028202327,0.00019199564,0.00003934767,0.000053908763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006164318,0.00012411055,0.0002088757,0.000088794775,0.000039572926,0.000010043897,0.00008580254,0.000047006208,0.000090980284],"category_scores_gemma":[0.000023902665,0.000093073046,0.00004811377,0.00069769064,0.000043393586,0.00016718407,0.0000146209195,0.00011168347,0.000025676496],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067672995,0.0009754968,0.17891917,0.0004330965,0.001993225,0.00041403578,0.0023884901,0.55192304,0.120771214,0.012591566,0.02026556,0.10864837],"study_design_scores_gemma":[0.0008029614,0.00015051126,0.0057246457,0.0000227075,0.00005981608,0.000046999772,0.00006244457,0.90386134,0.081134334,0.0010943018,0.006362099,0.00067783927],"about_ca_topic_score_codex":0.00002005574,"about_ca_topic_score_gemma":0.000005626553,"teacher_disagreement_score":0.57748604,"about_ca_system_score_codex":0.000041572905,"about_ca_system_score_gemma":0.0000036911285,"threshold_uncertainty_score":0.3795409},"labels":[],"label_agreement":null},{"id":"W2015689885","doi":"10.1007/s00371-002-0196-5","title":"Editorial for the special section on implicit surfaces","year":2004,"lang":"en","type":"article","venue":"The Visual Computer","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Section (typography); Special section; Computer graphics (images); Computer graphics; Computer science; Engineering; Engineering physics","score_opus":0.008751254549734239,"score_gpt":0.27583309718303706,"score_spread":0.2670818426333028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015689885","genre_codex":"methods","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039387986,0.000019247467,0.90846854,0.0003390417,0.050829258,0.00029785594,0.0000035740145,0.0004636524,0.00019081794],"genre_scores_gemma":[0.48176885,0.00001762066,0.0032612942,0.0001783983,0.5146731,0.000041448933,0.000003879797,0.000031728683,0.000023667046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99950683,0.000010872599,0.0001069025,0.000099490324,0.00013321663,0.00014265836],"domain_scores_gemma":[0.99962574,0.00017500625,0.00001914942,0.00013465443,0.000027007625,0.000018456805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009739677,0.00010023143,0.000099540826,0.000022282169,0.00012859316,0.000036502497,0.00016502118,0.000044965138,0.00000782025],"category_scores_gemma":[0.0000061384667,0.00005389414,0.00007924343,0.00012608554,0.000027947717,0.000049225277,0.000028441202,0.00014550854,0.000021500964],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068798,0.000043582557,0.0000046139435,0.000008397264,0.00009375104,2.8972786e-7,0.00018485915,0.7412324,0.0033262316,0.0018481592,0.22680666,0.026382288],"study_design_scores_gemma":[0.00072843325,0.000770381,0.00053668086,0.00002248749,0.00006757181,0.0000028579952,0.000022824497,0.16325104,0.022739597,0.0145689845,0.7969166,0.0003725232],"about_ca_topic_score_codex":0.000013894538,"about_ca_topic_score_gemma":0.000008167709,"teacher_disagreement_score":0.9052073,"about_ca_system_score_codex":0.00006280772,"about_ca_system_score_gemma":0.0000037704262,"threshold_uncertainty_score":0.21977392},"labels":[],"label_agreement":null},{"id":"W2016352584","doi":"10.1145/2185520.2185583","title":"Design of self-supporting surfaces","year":2012,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":147,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"Division of Information and Intelligent Systems; Nvidia; Division of Computing and Communication Foundations; Austrian Science Fund; Division of Civil, Mechanical and Manufacturing Innovation; National Science Foundation","keywords":"Polygon mesh; Discretization; Geometry; Geometry processing; Finite element method; Nonlinear system; Planar; Thrust; Computer science; Mathematics; Mathematical analysis; Computer graphics (images); Structural engineering; Engineering; Physics","score_opus":0.021240318678604236,"score_gpt":0.26621143554460924,"score_spread":0.244971116866005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016352584","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020590173,0.0001364634,0.9782426,0.000033107244,0.00006423645,0.000098877914,0.00000397788,0.00070914166,0.00012145452],"genre_scores_gemma":[0.843744,0.00031055076,0.15586421,0.000023939805,0.000009146175,0.000017121818,0.0000010623078,0.000022635471,0.0000073772744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99928397,0.000025951576,0.00023495409,0.000084094565,0.00014067188,0.00023035957],"domain_scores_gemma":[0.9993688,0.00017341746,0.000042535026,0.00031459067,0.000032136082,0.0000685292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017436084,0.00011695135,0.00016616735,0.00016205088,0.00005444576,0.000004486943,0.0001591728,0.00007255474,0.00004433411],"category_scores_gemma":[0.00001515227,0.00011329715,0.00009126852,0.0005508397,0.000031963427,0.00019656192,0.0000018605933,0.00018868328,0.000008183252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038495462,0.0010930666,0.0042370833,0.00032925064,0.0011142644,0.0000034741756,0.0020932239,0.83339965,0.07147242,0.0014914292,0.00036612782,0.08436151],"study_design_scores_gemma":[0.00047318716,0.00033606665,0.0026905043,0.00008264689,0.0006049199,0.000016969718,0.0003199462,0.16062528,0.8150948,0.013860981,0.0047170604,0.0011776335],"about_ca_topic_score_codex":0.0000043238106,"about_ca_topic_score_gemma":0.0000012479713,"teacher_disagreement_score":0.8231538,"about_ca_system_score_codex":0.00001988048,"about_ca_system_score_gemma":0.0000042616757,"threshold_uncertainty_score":0.46201238},"labels":[],"label_agreement":null},{"id":"W2016905867","doi":"10.1504/ijmr.2006.011353","title":"On the B-spline interpolated tool trajectories for five-axis sculptured surface machining","year":2006,"lang":"en","type":"article","venue":"International Journal of Manufacturing Research","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Interpolation (computer graphics); Spline (mechanical); Machine tool; Spline interpolation; Geometry; Algorithm; B-spline; Mathematics; Numerical control; Surface (topology); Computer science; Engineering; Mathematical analysis; Computer vision; Mechanical engineering; Motion (physics); Bilinear interpolation","score_opus":0.024362449723895004,"score_gpt":0.33432652480710107,"score_spread":0.30996407508320606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016905867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9480658,0.00015830886,0.049340207,0.001304413,0.00033879027,0.0001644326,0.0000194334,0.00008338909,0.00052522606],"genre_scores_gemma":[0.9949316,0.00004307353,0.0042047873,0.000034243792,0.00039355044,0.000008972255,0.000008167828,0.000031566953,0.00034405678],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99818724,0.00007447168,0.00045831446,0.00012920913,0.00087909127,0.00027166348],"domain_scores_gemma":[0.9978955,0.0013278268,0.00010566552,0.00015021623,0.00047900723,0.00004181695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010189912,0.00014095238,0.00019885975,0.00028867522,0.00010627741,0.00012863151,0.00073997525,0.00006130365,0.00008558118],"category_scores_gemma":[0.00035391506,0.00009421622,0.00018716873,0.00012427881,0.00007374993,0.00018444943,0.00006614997,0.0007146893,0.000008093513],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013576706,0.00030459164,0.0005766156,0.000081077415,0.0013675487,0.0001704958,0.0006956942,0.8545491,0.06386554,0.0076528387,0.033652678,0.03572616],"study_design_scores_gemma":[0.0008670591,0.00032290138,0.0032813037,0.0002882168,0.000024766812,0.000058400008,0.00015183605,0.041431047,0.8846849,0.049852084,0.01872917,0.0003082664],"about_ca_topic_score_codex":0.000050828872,"about_ca_topic_score_gemma":0.000013277785,"teacher_disagreement_score":0.8208194,"about_ca_system_score_codex":0.00028498494,"about_ca_system_score_gemma":0.00002054396,"threshold_uncertainty_score":0.38420263},"labels":[],"label_agreement":null},{"id":"W2017240593","doi":"10.1145/1268517.1268567","title":"A GPU based interactive modeling approach to designing fine level features","year":2007,"lang":"en","type":"article","venue":"Proceedings","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Computer graphics (images); Rendering (computer graphics); Displacement mapping; Animation; Subdivision; Computer graphics; Geometric primitive; Subdivision surface; Real-time rendering; General-purpose computing on graphics processing units; Geometric modeling; Software rendering; Graphics; Graphics hardware; Interactive design; Real-time computer graphics; 3D computer graphics; Texture mapping; Polygon mesh; Human–computer interaction","score_opus":0.028012149163083238,"score_gpt":0.26655975399268067,"score_spread":0.23854760482959744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017240593","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022884924,0.000053692103,0.9596835,0.0000520896,0.000021995185,0.00018371231,0.0000015700471,0.00088952755,0.016229006],"genre_scores_gemma":[0.6343418,0.0000011886375,0.36535555,0.00013007717,0.000055629036,0.000034196808,0.0000024784836,0.000033560762,0.000045575063],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989572,0.0000016757976,0.00022122529,0.0002699278,0.00019266969,0.00035729626],"domain_scores_gemma":[0.9995899,0.00003652065,0.000030387913,0.00007302468,0.00013686896,0.00013328309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023146294,0.00020018496,0.00022132699,0.0002638442,0.00005750559,0.000045839515,0.0001881996,0.00007391713,0.0000051128754],"category_scores_gemma":[0.00012567862,0.000191101,0.00006956046,0.0005927805,0.000012235441,0.00025577602,0.000041258816,0.0002855919,0.000008373791],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022330717,0.00019540802,0.0005391013,0.00032848885,0.00016951149,0.000007030009,0.00343375,0.44941884,0.45993593,0.0016784823,0.004136106,0.07993405],"study_design_scores_gemma":[0.00013216093,0.00003719321,0.00010919467,0.000066611516,0.000023574055,0.000005428347,0.00027825718,0.7538088,0.24398392,0.0006592189,0.0005666099,0.0003290449],"about_ca_topic_score_codex":0.0000107255955,"about_ca_topic_score_gemma":0.00000212213,"teacher_disagreement_score":0.6114568,"about_ca_system_score_codex":0.00014645193,"about_ca_system_score_gemma":0.0000048941547,"threshold_uncertainty_score":0.7792873},"labels":[],"label_agreement":null},{"id":"W2017586979","doi":"10.1016/s0007-8506(07)60588-5","title":"Feedrate Optimization for Spline Interpolation In High Speed Machine Tools","year":2003,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":126,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Jerk; Machining; Control theory (sociology); Torque; Machine tool; Servo; Contouring; Acceleration; Spline (mechanical); Numerical control; Engineering; Motion control; Interpolation (computer graphics); Computer science; Mechanical engineering; Engineering drawing; Artificial intelligence; Control (management); Physics; Robot","score_opus":0.028320158907927877,"score_gpt":0.2881573310926168,"score_spread":0.25983717218468894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017586979","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022539852,0.00020190755,0.9754807,0.00013586348,0.000059496768,0.00023806174,0.000016109741,0.00025735472,0.001070685],"genre_scores_gemma":[0.91349584,0.0001031146,0.08598529,0.000118676166,0.000030727417,0.000026852398,0.00009540006,0.000029174722,0.00011492871],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936634,0.000018377705,0.0002530948,0.0001337221,0.000061975494,0.00016648922],"domain_scores_gemma":[0.9996921,0.00004789506,0.000040001243,0.0001308503,0.00005235802,0.000036825782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014818592,0.00010964363,0.00018537918,0.00013143914,0.000020515241,0.000025788328,0.000065110915,0.000055433764,0.000110609784],"category_scores_gemma":[0.00015927371,0.000111245696,0.00005180051,0.00029655438,0.000010664732,0.00023039473,0.0000069384373,0.000073960495,0.000006904199],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014950743,0.000030824533,0.00035546094,0.00002909377,0.000021714286,0.0000013777762,0.000032686556,0.9792418,0.008605657,0.0018570006,0.00037612455,0.009433312],"study_design_scores_gemma":[0.00026587246,0.00003778178,0.0004348855,0.000027044687,0.000010155997,9.3719507e-7,0.00000811986,0.9641886,0.026679281,0.0054086642,0.0027528242,0.000185866],"about_ca_topic_score_codex":0.000005507479,"about_ca_topic_score_gemma":0.0000067076803,"teacher_disagreement_score":0.890956,"about_ca_system_score_codex":0.000032048913,"about_ca_system_score_gemma":0.0000037069851,"threshold_uncertainty_score":0.45364678},"labels":[],"label_agreement":null},{"id":"W2017684037","doi":"10.1109/mwsym.1976.1123696","title":"An Introduction to Simulation and Optimization","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Work (physics); State (computer science); Current (fluid); Industrial engineering; Management science; Engineering; Mechanical engineering; Programming language; Electrical engineering","score_opus":0.0051516179744064364,"score_gpt":0.2628266225210816,"score_spread":0.25767500454667513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2017684037","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011352284,0.00000695657,0.9873689,0.0004789953,0.000009502202,0.000041791718,1.3455453e-7,0.0005312224,0.00021025387],"genre_scores_gemma":[0.6400172,0.0000035505536,0.35975173,0.000042313986,0.0001479132,0.0000025249458,0.0000034672646,0.0000050882986,0.00002620415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997898,0.0000032033317,0.00005874274,0.0000726843,0.00003215326,0.000043441305],"domain_scores_gemma":[0.99987394,0.000004439388,0.0000039272113,0.00006986754,0.000015339172,0.0000325142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000021082149,0.00003528057,0.000038141177,0.00004706005,0.000013008705,0.000009994138,0.000015955851,0.00001549136,0.000069534755],"category_scores_gemma":[0.000007887947,0.00003379009,0.0000048592883,0.000111560024,0.0000030036015,0.0002378798,0.0000033053882,0.000018684623,0.0000053526405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.428891e-7,0.0000032021364,0.000012627301,7.7562544e-7,0.0000013560328,1.2286628e-8,0.000015207054,0.94435054,0.0022151163,0.0001052886,0.00011607096,0.053178947],"study_design_scores_gemma":[0.000016116483,0.000013722075,0.00005835247,3.1290386e-7,0.000002550658,1.8479841e-7,0.0000041733733,0.9865288,0.0056616445,0.00005199366,0.00761592,0.00004624485],"about_ca_topic_score_codex":8.5931504e-7,"about_ca_topic_score_gemma":0.0000026443029,"teacher_disagreement_score":0.6286649,"about_ca_system_score_codex":0.000022429465,"about_ca_system_score_gemma":2.9550176e-7,"threshold_uncertainty_score":0.13779199},"labels":[],"label_agreement":null},{"id":"W2018454811","doi":"10.1007/s00170-007-1092-y","title":"Accuracy improvement method for flank milling surface design","year":2007,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Flank; Surface (topology); Point (geometry); Mechanical engineering; Impeller; Engineering drawing; Machining; Engineering; Computer science; Mathematics; Geometry","score_opus":0.012786617971575986,"score_gpt":0.30725513239617386,"score_spread":0.29446851442459787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018454811","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.116493516,0.00043620015,0.8810017,0.0011363204,0.00044535685,0.00019649733,0.0000028080935,0.00024859555,0.000039003207],"genre_scores_gemma":[0.41471854,0.0003781413,0.58463645,0.0000970037,0.00010934188,0.000006878818,0.0000010448196,0.000026856573,0.000025726511],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99863803,0.000011766751,0.00061574654,0.00013931787,0.00029824686,0.00029687583],"domain_scores_gemma":[0.9983428,0.00078339555,0.00035606866,0.00022354716,0.000248415,0.000045750803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086776924,0.00018187729,0.00027500236,0.0003313146,0.0000608385,0.000023189677,0.0010851235,0.00010006498,0.000010362634],"category_scores_gemma":[0.00023843069,0.00013278838,0.00014832479,0.00013209005,0.000051902316,0.00020564636,0.00009882418,0.00039996873,0.000002460589],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010775292,0.000014522335,0.0000035035862,0.000005965726,0.00019180567,0.000014934002,0.000023688635,0.28670883,0.40435705,0.00031453447,0.0001199209,0.30813748],"study_design_scores_gemma":[0.00038338485,0.00015988546,0.000010068201,0.000033800396,0.00003087621,0.00008709998,0.00011816594,0.006140182,0.93840396,0.041829452,0.012667278,0.0001358167],"about_ca_topic_score_codex":0.0000023398418,"about_ca_topic_score_gemma":0.0000033469028,"teacher_disagreement_score":0.53404695,"about_ca_system_score_codex":0.00027164666,"about_ca_system_score_gemma":0.000014911349,"threshold_uncertainty_score":0.54149526},"labels":[],"label_agreement":null},{"id":"W2019159937","doi":"10.1007/s00170-005-0002-4","title":"Flank milling of a ruled surface with conical tools—an optimization approach","year":2005,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Conical surface; Tangent; Surface (topology); Ruled surface; Position (finance); Machining; Point (geometry); Machine tool; Line (geometry); Computer science; Geometry; Algorithm; Mathematics; Engineering; Mechanical engineering","score_opus":0.008152968614713346,"score_gpt":0.23674741897936546,"score_spread":0.22859445036465212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019159937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52709717,0.00015835113,0.47183684,0.0004931932,0.000048398593,0.00006109083,0.0000018224555,0.00014338718,0.00015973824],"genre_scores_gemma":[0.6222164,0.00021929997,0.37745556,0.000023811268,0.000050888135,0.0000026681487,0.0000033411159,0.000018532686,0.000009492946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988334,0.000018057102,0.0005067622,0.00012750411,0.00034472844,0.0001695476],"domain_scores_gemma":[0.99908674,0.00007890702,0.0003236883,0.00024124693,0.00022861904,0.000040793882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017332673,0.00015864853,0.00032160926,0.00024391065,0.00003196644,0.000021151762,0.00089618587,0.00009519449,0.00001649973],"category_scores_gemma":[0.000056820027,0.000107511,0.00007553997,0.00014863083,0.00013523363,0.0004560644,0.00007126657,0.00041496035,9.674557e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109216744,0.000046812,0.00003457165,0.0000056983718,0.00015709565,0.0000063963384,0.000035899782,0.9589715,0.020489758,0.00035848364,0.000007991434,0.0197766],"study_design_scores_gemma":[0.0007050733,0.00021101495,0.00003925056,0.00006310039,0.00004762097,0.00026601533,0.00016600518,0.21410352,0.78184676,0.0015369315,0.00083859003,0.00017610018],"about_ca_topic_score_codex":0.0000016835914,"about_ca_topic_score_gemma":0.0000037983398,"teacher_disagreement_score":0.761357,"about_ca_system_score_codex":0.00014758161,"about_ca_system_score_gemma":0.000017562523,"threshold_uncertainty_score":0.43841714},"labels":[],"label_agreement":null},{"id":"W2019414090","doi":"10.4028/www.scientific.net/msf.532-533.500","title":"A Practical Approach to Generating Accurate NURBS Tool Paths for CNC Machining of Sculptured Surface Parts","year":2006,"lang":"en","type":"article","venue":"Materials science forum","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Machining; Ideal (ethics); Surface (topology); Engineering drawing; Numerical control; Tool path; Process (computing); Mechanical engineering; Computer science; Materials science; Geometry; Engineering; Mathematics","score_opus":0.01951212033228481,"score_gpt":0.2926353217269215,"score_spread":0.2731232013946367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019414090","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43786824,0.000012891029,0.5609817,0.000094007955,0.00013626732,0.0003375082,0.000035551202,0.0002116764,0.00032217457],"genre_scores_gemma":[0.63850975,0.0000010322689,0.36129206,0.000039809747,0.0000458977,0.00006126288,0.000010462872,0.000018486875,0.000021227503],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998272,0.000028373406,0.00047139652,0.0003532228,0.00031322337,0.00056179566],"domain_scores_gemma":[0.9993791,0.00006020025,0.00010868868,0.00027644867,0.000100719284,0.000074839954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077604555,0.00018155335,0.00034231678,0.00009149715,0.00017903032,0.0001561946,0.0002789099,0.00005609531,0.000013223294],"category_scores_gemma":[0.000247215,0.00015585938,0.00005646201,0.0005228609,0.00011648579,0.00048680443,0.000103585786,0.000056852514,0.0000054122693],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009763244,0.000028487451,0.000035573612,0.000032099735,0.000004086844,5.4681203e-7,0.000045200137,0.117342114,0.87928635,0.0022393554,0.0006159148,0.00036050542],"study_design_scores_gemma":[0.0000930985,0.00004793552,0.000082223945,0.000018247285,0.000011832024,0.0000043244586,0.000058082584,0.12701103,0.8709167,0.0007293054,0.00081386144,0.00021333458],"about_ca_topic_score_codex":0.00003735484,"about_ca_topic_score_gemma":0.000003889144,"teacher_disagreement_score":0.20064151,"about_ca_system_score_codex":0.00007027571,"about_ca_system_score_gemma":0.00003429531,"threshold_uncertainty_score":0.6355761},"labels":[],"label_agreement":null},{"id":"W2019976810","doi":"10.1016/j.cam.2007.12.022","title":"<mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si6.gif\" display=\"inline\" overflow=\"scroll\"><mml:msup><mml:mrow><mml:mi>G</mml:mi></mml:mrow><mml:mrow><mml:mn>1</mml:mn></mml:mrow></mml:msup></mml:math>interpolation with a single Cornu spiral segment","year":2008,"lang":"lv","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tangent; Spiral (railway); Algorithm; Curvature; Scroll; Mathematics; Geometry; Path (computing); Artificial intelligence; Computer science; Mathematical analysis; Engineering; Mechanical engineering","score_opus":0.01552689692326814,"score_gpt":0.2332950795959716,"score_spread":0.21776818267270345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019976810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7566339,0.0005616343,0.12944652,0.0004003456,0.000530707,0.00005011668,0.00012219719,0.00016327472,0.1120913],"genre_scores_gemma":[0.91319,0.00035559857,0.08420578,0.00047095207,0.0009313115,0.00015947782,0.00030182677,0.00029527117,0.00008979358],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9948802,0.00008026911,0.0016466739,0.00064568425,0.0018211934,0.0009259669],"domain_scores_gemma":[0.99581325,0.0009814969,0.0018451739,0.0006333663,0.0001856474,0.0005410354],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00066604814,0.00056524377,0.00036866276,0.00033590946,0.00067791523,0.00050591433,0.00070951943,0.0007180817,0.023928737],"category_scores_gemma":[0.00029951773,0.0008522602,0.0008150757,0.00061678694,0.0006334066,0.0007781904,0.0005161811,0.0010052827,0.00026751365],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000918217,0.0006105173,0.000009197173,0.0013291507,0.0016811972,0.0007310037,0.0023135603,0.08152952,0.0031751015,0.8744512,0.030849367,0.0024019238],"study_design_scores_gemma":[0.00129457,0.0012119048,0.00006521996,0.0009107444,0.00089247385,0.0021980507,0.00085218385,0.6801226,0.3100332,0.000899751,0.00075405155,0.0007652312],"about_ca_topic_score_codex":0.00006083785,"about_ca_topic_score_gemma":0.00004888523,"teacher_disagreement_score":0.8735515,"about_ca_system_score_codex":0.000023418419,"about_ca_system_score_gemma":0.00046354183,"threshold_uncertainty_score":0.9993928},"labels":[],"label_agreement":null},{"id":"W2020829771","doi":"10.1016/j.cad.2007.06.010","title":"A practical approach to generating steepest ascent tool-paths for three-axis finish milling of compound NURBS surfaces","year":2007,"lang":"en","type":"article","venue":"Computer-Aided Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tool path; Machining; Surface (topology); Gradient descent; Representation (politics); Computer science; Engineering drawing; Path (computing); Algorithm; Geometry; Mathematics; Mechanical engineering; Engineering; Artificial intelligence; Artificial neural network","score_opus":0.060350555216192696,"score_gpt":0.3017436658221109,"score_spread":0.24139311060591817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020829771","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037747793,0.0001611529,0.96041125,0.000033008015,0.00015825576,0.0008600081,0.00000832956,0.00048540457,0.00013482243],"genre_scores_gemma":[0.363416,0.0000068612926,0.63627064,0.000058315494,0.00014730643,0.000039793613,0.000011221135,0.000043894197,0.0000059659237],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978869,0.00006308829,0.00076358864,0.0004482908,0.00031299167,0.0005251609],"domain_scores_gemma":[0.997978,0.0011263698,0.00013564798,0.0004087175,0.0001862318,0.00016504299],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009423825,0.00031744817,0.00059793727,0.00016484359,0.00011064441,0.00007171745,0.0002921884,0.00013245264,0.000003917493],"category_scores_gemma":[0.00014162867,0.00031564635,0.00016958421,0.00046475598,0.00005015488,0.00019626372,0.000085776526,0.00021832515,0.000005694576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006815119,0.00025135896,0.0001265719,0.00016538854,0.00015098491,0.00001244392,0.00021807112,0.90072054,0.036388583,0.0008318674,0.002613482,0.058452558],"study_design_scores_gemma":[0.00027970152,0.00032312548,0.00014681043,0.000060083847,0.000045619636,0.000012664727,0.000024894734,0.9444704,0.052240934,0.0005993471,0.001416292,0.000380114],"about_ca_topic_score_codex":0.000012165222,"about_ca_topic_score_gemma":0.000008223736,"teacher_disagreement_score":0.3256682,"about_ca_system_score_codex":0.00012956241,"about_ca_system_score_gemma":0.000026522857,"threshold_uncertainty_score":0.99992955},"labels":[],"label_agreement":null},{"id":"W2021237288","doi":"10.1007/s00170-005-2553-9","title":"Three-half and half-axis patch-by-patch NC machining of sculptured surfaces","year":2005,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Mechanical engineering; Flexibility (engineering); Machine tool; Orientation (vector space); Engineering drawing; Surface (topology); Engineering; Computer science; Geometry; Mathematics; Statistics","score_opus":0.00496019769115652,"score_gpt":0.23525894264760255,"score_spread":0.23029874495644603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021237288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90433663,0.0017703092,0.08904074,0.0042749834,0.00015237785,0.00008435947,0.00000683451,0.00022461389,0.00010917691],"genre_scores_gemma":[0.9469943,0.0010186218,0.0517847,0.0000671016,0.000074299365,0.000005301568,0.0000023387142,0.000030944862,0.000022366972],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99861807,0.000013671832,0.0006083333,0.00016035854,0.0003759512,0.00022360115],"domain_scores_gemma":[0.9990488,0.00013108771,0.00037996183,0.0002414975,0.00014924105,0.000049364484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020541779,0.00021475139,0.00038594753,0.00035089886,0.000051050993,0.000020511163,0.0009198457,0.00012507607,0.000030141615],"category_scores_gemma":[0.00007071901,0.00015913179,0.00011018685,0.00013417547,0.00018220193,0.00031457483,0.0001828076,0.0005631566,0.0000026431471],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017247743,0.00010401009,0.001599151,0.000038312883,0.0008850921,0.000033937908,0.0002707427,0.15583788,0.28180957,0.0012472331,0.00070329313,0.5572983],"study_design_scores_gemma":[0.0004811615,0.00009988015,0.00043319273,0.000110041554,0.00003775572,0.00013884805,0.000137647,0.005333939,0.96059287,0.020926792,0.011512116,0.00019575069],"about_ca_topic_score_codex":0.000055993427,"about_ca_topic_score_gemma":0.00010930372,"teacher_disagreement_score":0.6787833,"about_ca_system_score_codex":0.00013123172,"about_ca_system_score_gemma":0.000010417902,"threshold_uncertainty_score":0.6489206},"labels":[],"label_agreement":null},{"id":"W2023473802","doi":"10.1016/j.acha.2008.12.002","title":"Componentwise polynomial solutions and distribution solutions of refinement equations","year":2009,"lang":"en","type":"article","venue":"Applied and Computational Harmonic Analysis","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Polynomial; Multiplicative function; Normalization (sociology); Distribution (mathematics); Applied mathematics; Integrable system; Mathematical analysis; Pure mathematics","score_opus":0.013855461075635058,"score_gpt":0.22837536929579752,"score_spread":0.21451990822016245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023473802","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028480446,0.0005168718,0.9699282,0.00042723428,0.0000065629733,0.00008843186,0.00008309402,0.00013381378,0.00033536626],"genre_scores_gemma":[0.9895635,0.00010403693,0.009672132,0.000043660748,0.000015494394,0.000017623643,0.00056875317,0.000005092203,0.000009658248],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915147,0.000013477398,0.00031760894,0.00018000847,0.00016233855,0.00017509515],"domain_scores_gemma":[0.99960893,0.00009184933,0.00006753046,0.00010284687,0.000054322874,0.00007452196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009510852,0.00012275008,0.00026354575,0.00018186745,0.00018530367,0.000017188364,0.000057085206,0.000041088824,0.00001902286],"category_scores_gemma":[0.0000069909897,0.0001275291,0.00009756756,0.0007366543,0.000088102635,0.000061422885,0.000030351672,0.000081902755,0.000002152168],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001873924,0.00018506178,0.00014680342,0.000016433356,0.0012010083,6.923449e-7,0.00011419958,0.7458134,0.00550607,0.19442576,0.0007330097,0.0518388],"study_design_scores_gemma":[0.00025553908,0.000027949613,0.019261492,0.000004687015,0.00091815466,9.636465e-7,0.000041437026,0.9523174,0.00018083435,0.026568124,0.00024114853,0.00018225498],"about_ca_topic_score_codex":0.000014423704,"about_ca_topic_score_gemma":0.000005618562,"teacher_disagreement_score":0.9610831,"about_ca_system_score_codex":0.00005621519,"about_ca_system_score_gemma":0.000010803227,"threshold_uncertainty_score":0.52004856},"labels":[],"label_agreement":null},{"id":"W2024163461","doi":"10.5555/1217875.1217877","title":"Residual iteration and accurate polynomial evaluation for shape-interrogation applications","year":2004,"lang":"en","type":"article","venue":"ACM Symposium on Solid Modeling and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Benchmarking; Residual; Polynomial; Interrogation; Intersection (aeronautics); Convergence (economics); Computation; Algorithm; Computer science; Mathematical optimization; Mathematics; Applied mathematics; Engineering","score_opus":0.02749392580364137,"score_gpt":0.32345317970306786,"score_spread":0.2959592538994265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024163461","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059380054,0.00016254971,0.93766433,0.00091193104,0.000015276184,0.0012355276,0.000033659097,0.00035112436,0.00024555498],"genre_scores_gemma":[0.97012854,0.00024947466,0.024285505,0.000107977576,0.00022186282,0.0047427523,0.00021909834,0.000031887677,0.000012925992],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990544,0.00001230007,0.00030123064,0.00033072956,0.00013921046,0.00016216293],"domain_scores_gemma":[0.9993246,0.00006612221,0.000056190118,0.00033798112,0.00013994804,0.00007512291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016890497,0.00016024885,0.00015282794,0.00011654459,0.00026157062,0.00007707639,0.00012048786,0.00008766214,0.0000018385371],"category_scores_gemma":[0.000016976117,0.0001678166,0.000037718295,0.00015895772,0.000032247517,0.00019954436,0.000032141634,0.00010198674,0.0000054756124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014237004,0.00004361858,0.0000038443122,0.000034003882,0.000028010338,2.9867962e-8,0.0002113311,0.92229587,0.043753687,0.0044764555,0.00004140227,0.029097497],"study_design_scores_gemma":[0.00041657727,0.000045392055,0.000008729495,0.000021796755,0.00008717211,0.000002441681,0.00008599184,0.97019094,0.010029643,0.017842524,0.0010776492,0.00019113233],"about_ca_topic_score_codex":0.000007808026,"about_ca_topic_score_gemma":0.0000088250345,"teacher_disagreement_score":0.91337883,"about_ca_system_score_codex":0.00012348148,"about_ca_system_score_gemma":0.000025414416,"threshold_uncertainty_score":0.68433625},"labels":[],"label_agreement":null},{"id":"W2024598688","doi":"10.1115/1.1351168","title":"Infinitesimal-Area Radiative Analysis Using Parametric Surface Representation, Through NURBS","year":2000,"lang":"en","type":"article","venue":"Journal of Heat Transfer","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Infinitesimal; Enclosure; Representation (politics); Parametric statistics; Surface (topology); Mathematics; Parametric surface; Radiative transfer; Kernel (algebra); Applied mathematics; Integral equation; Code (set theory); Computer science; Mathematical analysis; Algebra over a field; Geometry; Pure mathematics; Programming language; Set (abstract data type); Physics","score_opus":0.026837893555172066,"score_gpt":0.29123402524239517,"score_spread":0.2643961316872231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024598688","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5431868,0.00071251567,0.45526016,0.000045459106,0.000021604657,0.00005344347,0.00000600545,0.00005928002,0.00065471075],"genre_scores_gemma":[0.9719908,0.001374234,0.02646103,0.00006698842,0.000049125178,0.0000011000886,0.000003747887,0.000027207267,0.000025728761],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846673,0.00008435231,0.0007103298,0.00014521202,0.00036004366,0.0002333162],"domain_scores_gemma":[0.99931854,0.00021071297,0.000020157328,0.00019365939,0.00015565353,0.000101299665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017414603,0.0001896044,0.00061705225,0.00038439623,0.000057507194,0.000034040724,0.0001681793,0.00008314143,0.0008397798],"category_scores_gemma":[0.00003081347,0.00016258899,0.0004782309,0.003640415,0.000047447716,0.0005989752,0.0000029902853,0.00031264647,0.0000073607634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003578241,0.000047017642,0.0036009706,0.000008117902,0.0009414682,0.000024665025,0.00041286682,0.9888497,0.004154829,0.000008888236,0.00011295925,0.0018027088],"study_design_scores_gemma":[0.0017468685,0.00037503417,0.014154094,0.00010124952,0.0054393774,0.00013236566,0.00038989168,0.8376012,0.13177453,0.0022942873,0.004981521,0.0010095894],"about_ca_topic_score_codex":0.000050212722,"about_ca_topic_score_gemma":0.0000047940302,"teacher_disagreement_score":0.42880404,"about_ca_system_score_codex":0.00013593919,"about_ca_system_score_gemma":0.000017821983,"threshold_uncertainty_score":0.9195},"labels":[],"label_agreement":null},{"id":"W2025269258","doi":"10.2514/6.2008-6079","title":"Integrated Geometry Parameterization and Grid Movement Using B-Spline Meshes","year":2008,"lang":"en","type":"article","venue":"12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Mitacs","keywords":"Polygon mesh; Morphing; Grid; Spline (mechanical); Mesh generation; Computer science; Mathematics; Geometry; B-spline; Algorithm; Mathematical analysis; Computer graphics (images); Engineering; Finite element method; Structural engineering","score_opus":0.023981862669023905,"score_gpt":0.2552906812869728,"score_spread":0.23130881861794889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025269258","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31792325,0.00027299157,0.68131983,0.000038672042,0.000027921898,0.00012793211,0.000026196438,0.0002137624,0.0000494282],"genre_scores_gemma":[0.7720919,0.0028152626,0.22462067,0.000028090453,0.00003067244,0.000020342008,0.00032231945,0.000025435136,0.000045273355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984303,0.00005177307,0.0005428424,0.00047979355,0.000226313,0.00026898415],"domain_scores_gemma":[0.99910915,0.00006875892,0.00014407138,0.00028288894,0.00022484345,0.00017029315],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000133493,0.00033105767,0.0005715944,0.00061168446,0.00032797275,0.000082860526,0.00012722187,0.00012426056,0.0001766498],"category_scores_gemma":[0.00005143937,0.00030109708,0.00011239048,0.0019744912,0.00017542338,0.0005026807,0.00012501812,0.00017113762,0.0000011775567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001827853,0.00004986382,0.015133528,0.000029185183,0.00037287571,0.000007292173,0.00021886834,0.97900045,0.0031463373,0.000053379154,0.000010112417,0.0019598566],"study_design_scores_gemma":[0.0002078068,0.000049698323,0.007048842,0.000027247543,0.0004882037,0.0000056161366,0.00014138452,0.98819643,0.0033252016,0.00012006878,0.000030953186,0.00035852622],"about_ca_topic_score_codex":0.00006608211,"about_ca_topic_score_gemma":0.000021606544,"teacher_disagreement_score":0.4566992,"about_ca_system_score_codex":0.00006093029,"about_ca_system_score_gemma":0.000020960155,"threshold_uncertainty_score":0.9999441},"labels":[],"label_agreement":null},{"id":"W2025973801","doi":"10.1145/2816795.2818073","title":"Deep points consolidation","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":139,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Science and Technology Planning Project of Guangdong Province; National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Consolidation (business); Topological skeleton; Surface (topology); Point (geometry); Geometry; Representation (politics); Medial axis; Artificial intelligence; Computer science; Mathematics; Skeleton (computer programming); Algorithm; Segmentation; Active shape model","score_opus":0.02448748680159069,"score_gpt":0.26425050962238106,"score_spread":0.23976302282079037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025973801","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042587537,0.00006685047,0.99365556,0.00026672904,0.00010455623,0.000073547555,0.000004224575,0.00084947824,0.0007203095],"genre_scores_gemma":[0.96133476,0.00017698243,0.03820158,0.00017611342,0.000016097578,0.000033307126,0.0000087158605,0.00002680045,0.000025624897],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994117,0.000017812954,0.0001497746,0.000121414836,0.00016001063,0.00013928676],"domain_scores_gemma":[0.9993876,0.000058710237,0.000016226115,0.00036616428,0.000062792,0.00010849774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007239241,0.00011109131,0.0001180861,0.00019385616,0.000048924343,0.00001393058,0.00015658065,0.000074892894,0.00003535514],"category_scores_gemma":[0.000025812404,0.00011287913,0.00007487212,0.00054370996,0.00004388628,0.00015562848,0.0000017202459,0.00020804982,0.00006446662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009668905,0.00058279675,0.0004767808,0.0000819448,0.0006564282,0.00002581664,0.0011017128,0.50387627,0.002527183,0.008038565,0.0037859387,0.4787499],"study_design_scores_gemma":[0.0019250374,0.0005718522,0.0006129504,0.00008446509,0.00042390559,0.00010217877,0.0005517221,0.4263551,0.1319207,0.37859955,0.056971297,0.0018812417],"about_ca_topic_score_codex":0.00000508244,"about_ca_topic_score_gemma":0.000024665476,"teacher_disagreement_score":0.957076,"about_ca_system_score_codex":0.000046012305,"about_ca_system_score_gemma":0.0000063023836,"threshold_uncertainty_score":0.46030772},"labels":[],"label_agreement":null},{"id":"W2026401944","doi":"10.1007/s00170-012-4009-3","title":"Reduction of geometry-based errors in five-axis machining through enhanced 5D interpolation","year":2012,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Machining; Interpolation (computer graphics); Geometry; Kinematics; Machine tool; Reduction (mathematics); Algorithm; Mathematics; Surface (topology); Linear interpolation; Trajectory; Parametric statistics; Computer science; Engineering; Mathematical analysis; Motion (physics); Computer vision; Mechanical engineering; Physics; Polynomial","score_opus":0.009603056332714965,"score_gpt":0.2703733305136691,"score_spread":0.2607702741809541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026401944","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8115445,0.00034013565,0.1867289,0.0004982899,0.0005129161,0.00007494868,0.0000024040853,0.00012157037,0.00017638056],"genre_scores_gemma":[0.9348059,0.00018231245,0.06485122,0.000027382353,0.00008771809,0.0000087424305,0.0000028977165,0.00002331264,0.000010502355],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99864626,0.000025699926,0.0006718009,0.000106619365,0.00031360833,0.00023603074],"domain_scores_gemma":[0.9990789,0.000100491045,0.00045729158,0.00020601324,0.00012850901,0.000028795177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026448574,0.00016447037,0.00030809507,0.00082497083,0.000026130405,0.000007908542,0.0006545185,0.000111879264,0.00003399391],"category_scores_gemma":[0.0001494251,0.00013159908,0.0001160185,0.0003334375,0.0001122614,0.00055665255,0.000081513026,0.0005377939,0.0000028095983],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022051655,0.00012272345,0.00059148076,0.00002791273,0.00021477573,0.000006882221,0.0006177938,0.31383878,0.56853855,0.0008772074,0.000045262503,0.114898115],"study_design_scores_gemma":[0.00039372817,0.00007514757,0.00093860895,0.00013355754,0.000018847417,0.00005292658,0.00047719985,0.0018649509,0.9852808,0.010137629,0.00050043024,0.00012614056],"about_ca_topic_score_codex":0.000012399353,"about_ca_topic_score_gemma":0.0000058063565,"teacher_disagreement_score":0.41674227,"about_ca_system_score_codex":0.0002638724,"about_ca_system_score_gemma":0.000012373813,"threshold_uncertainty_score":0.5366455},"labels":[],"label_agreement":null},{"id":"W2026745296","doi":"10.1109/tip.2007.891787","title":"Vertex-Based Diffusion for 3-D Mesh Denoising","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Image Processing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Laplacian smoothing; Smoothing; Noise reduction; Vertex (graph theory); Partial differential equation; Triangle mesh; Nonlinear system; Computer science; Algorithm; Mesh generation; Mathematics; Construct (python library); Applied mathematics; Mathematical optimization; Polygon mesh; Artificial intelligence; Theoretical computer science; Geometry; Mathematical analysis; Finite element method; Computer vision","score_opus":0.009561798652052995,"score_gpt":0.2687475203634193,"score_spread":0.25918572171136633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026745296","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008072089,0.000095872034,0.9899861,0.000042397744,0.00011419607,0.0001899203,0.000006425476,0.0011470676,0.00034592368],"genre_scores_gemma":[0.82610625,0.000010559978,0.17360714,0.00009720392,0.000025954958,0.000040650528,0.0000025365612,0.0000587504,0.000050918494],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99897385,0.000007149042,0.00027773806,0.00022761532,0.00017369079,0.0003399505],"domain_scores_gemma":[0.99949825,0.00012223158,0.000039627066,0.00016097772,0.00008897964,0.00008995415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015523988,0.00019443473,0.00019580247,0.0002414846,0.00026690142,0.00006254969,0.000115540744,0.00008375683,0.000022003638],"category_scores_gemma":[0.000008675645,0.00019457344,0.00013209991,0.00042747005,0.0000514229,0.00031670643,4.4245814e-7,0.0002106577,0.0000088214965],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053957847,0.000094620365,0.0000030645608,0.0001713942,0.000017347376,0.0000042585357,0.00007419168,0.023562633,0.38623545,0.0000032679932,0.000043704287,0.5897361],"study_design_scores_gemma":[0.0002903216,0.000041136722,0.000013236348,0.00010007568,0.0000512593,0.000002424074,0.00003464736,0.26784012,0.73065466,0.00030562608,0.00044150822,0.00022502353],"about_ca_topic_score_codex":0.0000034181855,"about_ca_topic_score_gemma":0.000011335551,"teacher_disagreement_score":0.8180342,"about_ca_system_score_codex":0.00014634606,"about_ca_system_score_gemma":0.000016770944,"threshold_uncertainty_score":0.79344743},"labels":[],"label_agreement":null},{"id":"W2026821404","doi":"10.1115/detc2013-12408","title":"Triangle Mesh Based In-Process Workpiece Update for General Milling Processes","year":2013,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Octree; Intersection (aeronautics); Process (computing); Polygon mesh; Trajectory; Triangle mesh; Computer science; Geometry; Path (computing); Volume (thermodynamics); Manifold (fluid mechanics); Algorithm; Solid modeling; Ball (mathematics); Engineering drawing; Mathematics; Mechanical engineering; Engineering","score_opus":0.009031654552627963,"score_gpt":0.25303473756647304,"score_spread":0.24400308301384507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026821404","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10234271,0.0002716104,0.8946873,0.0002087276,0.000032208314,0.00045590548,0.0000032509251,0.0008473023,0.001150971],"genre_scores_gemma":[0.7947902,0.000039720202,0.20401281,0.00024514215,0.00005526221,0.000597879,0.000017847447,0.00004044386,0.0002006931],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99916446,0.000006514227,0.00026059884,0.00019229106,0.00009444057,0.0002817076],"domain_scores_gemma":[0.9995833,0.00008385107,0.000027662565,0.000143259,0.000101047895,0.0000608706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006536734,0.00015114945,0.0002500429,0.00012519871,0.00002739069,0.00003412002,0.00016474065,0.00005889242,0.00020915788],"category_scores_gemma":[0.0000852069,0.00012875658,0.000059010807,0.00057973375,0.000014852043,0.00026933107,0.000009697548,0.000081041086,0.00002702885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000577103,0.00026753594,0.0013738958,0.0015233101,0.00012968066,0.000004570314,0.0001661615,0.8568538,0.020819312,0.001119118,0.009447431,0.1082375],"study_design_scores_gemma":[0.00044595508,0.00003678604,0.000039756425,0.00004185353,0.000015668258,3.673798e-7,0.000034378452,0.8164499,0.16866434,0.01005042,0.0038867986,0.00033381835],"about_ca_topic_score_codex":0.000025672643,"about_ca_topic_score_gemma":0.00003606945,"teacher_disagreement_score":0.6924475,"about_ca_system_score_codex":0.00003894191,"about_ca_system_score_gemma":0.000014703377,"threshold_uncertainty_score":0.5250541},"labels":[],"label_agreement":null},{"id":"W2027047940","doi":"10.1016/j.cad.2010.04.004","title":"Hermite interpolation with circular precision","year":2010,"lang":"en","type":"article","venue":"Computer-Aided Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cubic Hermite spline; Hermite interpolation; Interpolation (computer graphics); Hermite polynomials; Arc (geometry); Hermite spline; Mathematics; Monotone cubic interpolation; Parametric statistics; Type (biology); Applied mathematics; Mathematical analysis; Spline interpolation; Nearest-neighbor interpolation; Computer science; Geometry; Bilinear interpolation; Image (mathematics); Statistics; Artificial intelligence; Geology; Thin plate spline","score_opus":0.009279805204152109,"score_gpt":0.2171765805464005,"score_spread":0.20789677534224837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027047940","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025002576,0.000042921438,0.97323394,0.00001450119,0.00015219225,0.0001907188,5.5074554e-7,0.0010263403,0.00033627386],"genre_scores_gemma":[0.5508871,0.000005208297,0.4489297,0.000030432302,0.000087239816,0.0000144827745,0.0000036012734,0.000027329785,0.000014906789],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991992,0.000032935357,0.00020112096,0.00022306813,0.0001583603,0.00018532292],"domain_scores_gemma":[0.9993424,0.00011123539,0.000039533694,0.00036788802,0.000057010184,0.000081923914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012539621,0.0001707292,0.00019919024,0.000119778466,0.000042406868,0.000047883193,0.00020195103,0.000082054736,0.000040137304],"category_scores_gemma":[0.000013222401,0.00014325004,0.000054382384,0.00028929536,0.000033617354,0.0002292264,0.000033942768,0.00026860935,0.00004607349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044529137,0.000079925194,0.00052403915,0.00004647867,0.00013003143,0.000047748883,0.00017738562,0.16068724,0.35746986,0.0004859142,0.003200702,0.47710615],"study_design_scores_gemma":[0.00017191995,0.00013362474,0.0008194501,0.000038426984,0.000020083135,0.00002522967,0.0000020583805,0.95548874,0.03781332,0.0022355497,0.0029880228,0.000263575],"about_ca_topic_score_codex":0.0000021548456,"about_ca_topic_score_gemma":0.0000016979159,"teacher_disagreement_score":0.7948015,"about_ca_system_score_codex":0.000027447388,"about_ca_system_score_gemma":0.0000071182294,"threshold_uncertainty_score":0.5841567},"labels":[],"label_agreement":null},{"id":"W2027818378","doi":"10.1111/j.1467-8659.2009.01447.x","title":"On Visualization and Reconstruction from Non‐Uniform Point Sets using B‐splines","year":2009,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Austrian Science Fund","keywords":"Computer science; Rendering (computer graphics); Visualization; Grid; Regularization (linguistics); Representation (politics); Algorithm; Artificial intelligence; Theoretical computer science; Mathematics; Geometry","score_opus":0.009182203504355021,"score_gpt":0.25167480608466947,"score_spread":0.24249260258031444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027818378","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26713964,0.00003909693,0.73225987,0.000039937222,0.000112458656,0.000063880325,0.0000034013099,0.00029980097,0.000041929336],"genre_scores_gemma":[0.929139,0.00011631751,0.070289105,0.00033793738,0.00006928605,0.000001773043,0.000027368065,0.000018174227,0.0000010298596],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993735,0.000008080895,0.00019120431,0.00017980546,0.00008982425,0.00015756654],"domain_scores_gemma":[0.99969083,0.000026933103,0.000041794025,0.00015195468,0.00003610656,0.000052378437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000036101916,0.0001431144,0.00016679798,0.00019115668,0.00007335086,0.000035959154,0.00006503265,0.000079328565,0.0000032206271],"category_scores_gemma":[0.0000037814077,0.00014020185,0.00005247951,0.0002883874,0.000027355698,0.00020796417,0.000021510097,0.000108572654,0.0000014650931],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058371876,0.00017627518,0.0048496663,0.000071171664,0.00027040907,0.00002044188,0.00045592713,0.11652507,0.009118636,0.13845393,0.0021356551,0.72786444],"study_design_scores_gemma":[0.00010611058,0.000071335344,0.0008558751,0.000052746334,0.000013955916,0.00000721684,0.0000065549557,0.902977,0.002453641,0.09321212,0.0000898293,0.00015361879],"about_ca_topic_score_codex":0.000008671078,"about_ca_topic_score_gemma":0.000005538102,"teacher_disagreement_score":0.78645194,"about_ca_system_score_codex":0.000029587816,"about_ca_system_score_gemma":0.0000022614836,"threshold_uncertainty_score":0.57172656},"labels":[],"label_agreement":null},{"id":"W2028962211","doi":"10.1007/s00186-013-0455-4","title":"Fitting concentric circles to measurements","year":2013,"lang":"en","type":"article","venue":"Mathematical Methods of Operations Research","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Ottawa Mental Health Centre; Royal Military College of Canada","funders":"","keywords":"Concentric; Mathematics; Generalization; Least-squares function approximation; Combinatorics; Set (abstract data type); Geometry; Mathematical analysis; Statistics; Computer science","score_opus":0.22405597736353874,"score_gpt":0.5157598582568775,"score_spread":0.29170388089333876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028962211","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033747677,0.000076701006,0.9593633,0.0002988765,0.000013537273,0.000589205,0.0000013806434,0.000146348,0.0057629645],"genre_scores_gemma":[0.28530443,0.0000067836986,0.71424294,0.000017804437,0.000016225487,0.00027952882,8.1186664e-7,0.000017930062,0.00011358775],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99821174,0.00034982362,0.00042500196,0.0001642484,0.00051637,0.0003328222],"domain_scores_gemma":[0.9982476,0.0007082451,0.000008702837,0.0003445889,0.00052520976,0.00016563998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018958292,0.000097565695,0.00027339254,0.00021916609,0.00010366553,0.000069240006,0.0002930038,0.000051990475,0.00083367137],"category_scores_gemma":[0.0032043993,0.00008307542,0.000056297315,0.0010478066,0.00008714492,0.00016697952,0.00010694409,0.0002274245,0.00033536277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022330905,0.00017336047,0.00009278758,0.00024606424,0.00009449306,7.6638145e-7,0.0005725011,0.024809675,0.7418894,0.009667801,0.0015764331,0.22087444],"study_design_scores_gemma":[0.000120680095,0.000091358845,0.00027022063,0.000120235694,0.000014430736,0.0000021061212,0.00030175297,0.38864622,0.5645052,0.04509927,0.00059731596,0.00023117989],"about_ca_topic_score_codex":0.000022050604,"about_ca_topic_score_gemma":0.00000154708,"teacher_disagreement_score":0.36383656,"about_ca_system_score_codex":0.00008133584,"about_ca_system_score_gemma":0.000014142828,"threshold_uncertainty_score":0.9128117},"labels":[],"label_agreement":null},{"id":"W2029204039","doi":"10.1007/s10440-008-9399-8","title":"Analysis and Construction of Multivariate Interpolating Refinable Function Vectors","year":2008,"lang":"en","type":"article","venue":"Acta Applicandae Mathematicae","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Univariate; Interpolation (computer graphics); Generating function; Bivariate analysis; Function (biology); Matrix (chemical analysis); Multivariate statistics; Applied mathematics; Pure mathematics; Mathematical analysis; Statistics; Computer science; Artificial intelligence","score_opus":0.0072881244607485,"score_gpt":0.22079918048096156,"score_spread":0.21351105602021306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029204039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5215603,0.00002494519,0.4769184,0.0000080673235,0.000007736968,0.00008362279,0.0000024549477,0.00020785471,0.0011865823],"genre_scores_gemma":[0.9159887,0.000039658764,0.083877094,0.000005229898,0.000011565174,0.00003397644,0.0000048665256,0.000016926699,0.000021989748],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925387,0.00001168384,0.0003228772,0.00015826762,0.00011678163,0.00013652004],"domain_scores_gemma":[0.9995037,0.000098392724,0.00010012749,0.00021235831,0.000035765785,0.00004966239],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000083502404,0.00012943272,0.00038103055,0.00018599603,0.000057401478,0.000007024707,0.00006545596,0.000054967535,0.000046418074],"category_scores_gemma":[0.00003490507,0.00011562015,0.00008771734,0.00071120023,0.00010575125,0.0001052981,0.000032953878,0.000096971875,0.0000023879961],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015706061,0.00040647484,0.048189614,0.0016082219,0.0073744864,0.000012529421,0.0038428288,0.004098385,0.79050297,0.037248142,0.0003445936,0.106214665],"study_design_scores_gemma":[0.0009891803,0.00026775844,0.030148815,0.00017017525,0.003113831,0.00010018318,0.0006116109,0.7368965,0.17439555,0.0487483,0.0032594423,0.0012986275],"about_ca_topic_score_codex":0.00003094275,"about_ca_topic_score_gemma":0.000004289381,"teacher_disagreement_score":0.73279816,"about_ca_system_score_codex":0.000031727224,"about_ca_system_score_gemma":0.0000033803676,"threshold_uncertainty_score":0.47148526},"labels":[],"label_agreement":null},{"id":"W2029379189","doi":"10.1145/1377596.1377599","title":"Efficient Contouring on Unstructured Meshes for Partial Differential Equations","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Mathematical Software","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Contouring; Piecewise; Polygon mesh; Partial differential equation; Computer science; Isosurface; Algorithm; Interpolation (computer graphics); Intersection (aeronautics); Mathematics; Mathematical analysis; Computer graphics (images); Artificial intelligence; Animation; Visualization","score_opus":0.02407487978704351,"score_gpt":0.25763064735758184,"score_spread":0.23355576757053834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029379189","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025407191,0.000012569111,0.972876,0.00007829357,0.000086528424,0.00035610903,0.00004804846,0.0011049409,0.000030306343],"genre_scores_gemma":[0.7688874,0.0000060012676,0.23066215,0.00002847681,0.000046037825,0.00024655325,0.000008982272,0.000042020947,0.00007237123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988839,0.000016863303,0.00032425293,0.0002307875,0.00025425229,0.00028996586],"domain_scores_gemma":[0.9986055,0.00078104663,0.000031773863,0.00042103694,0.000042239542,0.00011839746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000035945006,0.00022547824,0.00031512842,0.00010310113,0.00027209643,0.000016922306,0.00020920052,0.000104971245,0.00035214055],"category_scores_gemma":[0.000248409,0.00019158932,0.00024314728,0.00017966048,0.000079083526,0.000037680624,0.000004256708,0.0002140856,0.000051440158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096955904,0.0006359771,0.000005768981,0.00021995918,0.00029326734,0.000007827751,0.00050593336,0.89746994,0.0023325554,0.0021964973,0.00009476218,0.09614054],"study_design_scores_gemma":[0.0019891332,0.0005674562,0.00018468541,0.00027955987,0.00045630985,0.000030100611,0.000094463816,0.65089655,0.14160258,0.20162265,0.00093050575,0.0013460169],"about_ca_topic_score_codex":0.0000012189338,"about_ca_topic_score_gemma":0.0000011483637,"teacher_disagreement_score":0.7434802,"about_ca_system_score_codex":0.00008683444,"about_ca_system_score_gemma":0.0000078625035,"threshold_uncertainty_score":0.7812786},"labels":[],"label_agreement":null},{"id":"W2030443137","doi":"10.1115/1.4002766","title":"Effective Determination of Feed Direction and Tool Orientation in Five-Axis Flat-End Milling","year":2010,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Orientation (vector space); Toroid; Point (geometry); Inscribed figure; Surface (topology); Geometry; Position (finance); End mill; Mechanical engineering; Computer science; Engineering drawing; Mathematics; Engineering; Physics","score_opus":0.00290800483058593,"score_gpt":0.2196769945399133,"score_spread":0.21676898970932737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030443137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95758474,0.000059922157,0.042092666,0.000007998272,0.00015228569,0.000055237953,2.8290984e-7,0.000025729238,0.000021150796],"genre_scores_gemma":[0.98275757,0.0000802007,0.017115971,0.000001790375,0.00003379678,0.0000023162436,1.1965834e-7,0.0000068029685,0.0000014504168],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993505,0.00000449298,0.00023679905,0.000090642636,0.00019941716,0.00011815022],"domain_scores_gemma":[0.9996849,0.000079869096,0.00007516917,0.00005146691,0.000064933934,0.000043713186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049515505,0.000081320955,0.00015482443,0.0004434428,0.0000343653,0.000027287326,0.00006715279,0.000035619178,0.0000012909749],"category_scores_gemma":[0.00016575774,0.000073688694,0.000021724805,0.0002375277,0.00005478873,0.0006589625,0.00001705664,0.00021842055,7.868551e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000055604373,0.0000044496046,0.0005668689,0.000060620252,0.0000049302653,0.0000031357808,0.0003447897,0.028880877,0.8036762,0.0000117198415,4.822413e-7,0.1664404],"study_design_scores_gemma":[0.00013802573,0.000051754374,0.07095366,0.00006621252,0.000009827861,0.000029922552,0.00003847157,0.12022446,0.80821925,0.00013589731,0.000044467226,0.00008805944],"about_ca_topic_score_codex":0.000008749477,"about_ca_topic_score_gemma":0.000005306062,"teacher_disagreement_score":0.16635235,"about_ca_system_score_codex":0.000060330018,"about_ca_system_score_gemma":0.0000064765604,"threshold_uncertainty_score":0.30049378},"labels":[],"label_agreement":null},{"id":"W2030972310","doi":"10.1080/00207540310001652905","title":"Efficient five-axis machining of free-form surfaces with constant scallop height tool paths","year":2004,"lang":"en","type":"article","venue":"International Journal of Production Research","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scallop; Machining; Constant (computer programming); Offset (computer science); Tool path; Free form; Surface (topology); Geometry; Engineering; Mathematics; Engineering drawing; Mechanical engineering; Computer science","score_opus":0.022663624849765182,"score_gpt":0.3290290378989974,"score_spread":0.3063654130492322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030972310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9444095,0.00039317124,0.05237585,0.0015006294,0.00031933907,0.00013340563,0.000011026692,0.000053046944,0.0008040463],"genre_scores_gemma":[0.9789752,0.00021035124,0.020531183,0.0000060662524,0.00018607419,0.0000047098415,0.0000019254435,0.000016863842,0.00006766589],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976611,0.000048015052,0.0004975802,0.00014697413,0.0014542465,0.0001920897],"domain_scores_gemma":[0.997736,0.000079129146,0.00016071986,0.00018348184,0.0017767494,0.000063943335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010250205,0.000103187216,0.00020620764,0.00051663746,0.000052228996,0.000034925513,0.00046893442,0.00003868242,0.000056720208],"category_scores_gemma":[0.0004644953,0.00007676237,0.000078573554,0.00044258317,0.00019174276,0.00018200956,0.000074275784,0.00048949255,0.000004817173],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002953283,0.00024076064,0.0009943913,0.000043362492,0.00040744513,0.00008996521,0.000634838,0.9023897,0.07187623,0.0016844266,0.00042088827,0.020922668],"study_design_scores_gemma":[0.0033887408,0.0017290013,0.006580922,0.001767906,0.00007962859,0.0012553169,0.0018396318,0.041959647,0.90459543,0.030248212,0.0058107898,0.00074474595],"about_ca_topic_score_codex":0.00003615339,"about_ca_topic_score_gemma":0.000012368289,"teacher_disagreement_score":0.86043006,"about_ca_system_score_codex":0.00035122316,"about_ca_system_score_gemma":0.00008910996,"threshold_uncertainty_score":0.31302786},"labels":[],"label_agreement":null},{"id":"W2031025191","doi":"10.1007/s00365-005-0602-0","title":"Convergent Vector and Hermite Subdivision Schemes","year":2005,"lang":"en","type":"article","venue":"Constructive Approximation","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Subdivision; Hermite polynomials; Mathematics; Convergence (economics); Hermite spline; Subdivision surface; Transformation (genetics); Hermite interpolation; Applied mathematics; Mathematical analysis; Statistics","score_opus":0.005495398763740461,"score_gpt":0.2174601274119515,"score_spread":0.21196472864821103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031025191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59502864,0.00036695562,0.4024457,0.00005098047,0.00004088412,0.00015611862,0.000003998598,0.0004560797,0.0014506623],"genre_scores_gemma":[0.9375568,0.00007336919,0.062246148,0.00001961203,0.000044209773,0.000021994128,0.000008921657,0.000013001558,0.000015933281],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950194,0.000012266268,0.00014824401,0.00013799116,0.000090453046,0.000109098684],"domain_scores_gemma":[0.99975497,0.0000239292,0.00003221913,0.00010098738,0.000042334956,0.00004557772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000043306056,0.00010427869,0.00012838985,0.000064437685,0.000038382714,0.000016558744,0.000042335676,0.000044601675,0.000052431584],"category_scores_gemma":[0.000021869435,0.00010074796,0.000027286414,0.00013582522,0.00007847502,0.0002934561,0.000021095619,0.00007848017,0.00001947336],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013968739,0.00002946662,0.0036656251,0.000087942906,0.000093778006,0.0000011977811,0.0003137824,0.0008369083,0.0875929,0.038870767,0.00024811763,0.86824554],"study_design_scores_gemma":[0.00044331,0.00003288858,0.0079156775,0.000040321695,0.00004186646,0.000019849924,0.0001280146,0.5282375,0.44499266,0.0064325486,0.0112798335,0.00043552645],"about_ca_topic_score_codex":8.570559e-7,"about_ca_topic_score_gemma":7.569355e-7,"teacher_disagreement_score":0.86781,"about_ca_system_score_codex":0.00006580291,"about_ca_system_score_gemma":0.0000031983618,"threshold_uncertainty_score":0.41083828},"labels":[],"label_agreement":null},{"id":"W2031110052","doi":"10.1016/j.amc.2013.12.177","title":"An algorithm for autonomously plotting solution sets in the presence of turning points","year":2014,"lang":"en","type":"preprint","venue":"Applied Mathematics and Computation","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McGill University","funders":"Mitacs","keywords":"Bivariate analysis; Algorithm; Space (punctuation); Computer science; Mathematics; Machine learning","score_opus":0.014888772506963048,"score_gpt":0.27885086297333317,"score_spread":0.26396209046637015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031110052","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04346794,0.000032238277,0.95574474,0.0000145190825,0.000018775263,0.00048344233,0.0000048626416,0.0001228073,0.000110661495],"genre_scores_gemma":[0.49977136,0.000007802395,0.5000544,0.000006888157,0.00001423042,0.000098613935,0.00003309216,0.0000134051415,1.7470738e-7],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992468,0.000012413082,0.00034936419,0.00016219149,0.0001180741,0.00011117221],"domain_scores_gemma":[0.9993517,0.0002617785,0.0001795068,0.00015406564,0.000035467987,0.000017482778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040230248,0.00013781415,0.00026864035,0.00007707999,0.00003446791,0.000034396366,0.00014007153,0.000091474154,3.0833527e-7],"category_scores_gemma":[0.000016149363,0.00011655519,0.000035671,0.00007290757,0.000023333669,0.00003550376,0.00005195755,0.00016697597,2.9206407e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016367379,0.000064879365,0.0000024701596,0.0009607552,0.00002795456,2.1571925e-7,0.0032821414,0.48716107,0.002209425,0.0038734286,0.000021009511,0.502395],"study_design_scores_gemma":[0.000069051115,0.000016342108,0.000029010307,0.00008275379,0.000023357434,7.739143e-7,0.0001355408,0.83251417,0.0008346039,0.1661901,0.000006367268,0.000097961194],"about_ca_topic_score_codex":0.0000050175854,"about_ca_topic_score_gemma":0.0000018346598,"teacher_disagreement_score":0.50229704,"about_ca_system_score_codex":0.000024909195,"about_ca_system_score_gemma":0.0000059924014,"threshold_uncertainty_score":0.47529826},"labels":[],"label_agreement":null},{"id":"W2031307648","doi":"10.1016/j.jat.2011.02.010","title":"de Rham transforms for subdivision schemes","year":2011,"lang":"fr","type":"article","venue":"Journal of Approximation Theory","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subdivision; Mathematics; Scheme (mathematics); Property (philosophy); Point (geometry); Mathematical analysis; Geometry","score_opus":0.020989746156233717,"score_gpt":0.2594781709737666,"score_spread":0.23848842481753285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031307648","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013973414,0.003563379,0.97961724,0.00024176287,0.00024459412,0.00018939852,0.0000071666886,0.00006359081,0.0020994707],"genre_scores_gemma":[0.36430067,0.0007534409,0.63397044,0.00007438818,0.00026000978,0.000015336724,0.000002987453,0.000050754676,0.0005719792],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986841,0.00007716176,0.00068848545,0.00009568148,0.00018848329,0.00026608072],"domain_scores_gemma":[0.9989795,0.00017880862,0.00034724033,0.00013374763,0.0002328663,0.0001278497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014434155,0.00017341596,0.00035145634,0.0002081192,0.000055837314,0.000025617333,0.00021860361,0.00015869894,0.00032250123],"category_scores_gemma":[0.00019380482,0.00014796524,0.00035794097,0.00020732252,0.000082571576,0.0007125029,0.00001089026,0.00029180062,0.000008943286],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035447165,0.0002721254,0.000061493316,0.00048444676,0.00030792915,0.000007813384,0.0035177607,0.001012796,0.010946577,0.48521405,0.0007134196,0.4971071],"study_design_scores_gemma":[0.000456501,0.00034262764,0.000118444776,0.00023556282,0.00022105215,0.00006327236,0.00039054028,0.022696374,0.2148885,0.7470202,0.013368089,0.00019883354],"about_ca_topic_score_codex":0.0000024412552,"about_ca_topic_score_gemma":3.611579e-7,"teacher_disagreement_score":0.49690828,"about_ca_system_score_codex":0.00019947437,"about_ca_system_score_gemma":0.00004017162,"threshold_uncertainty_score":0.60338473},"labels":[],"label_agreement":null},{"id":"W2031361178","doi":"10.1016/s0010-4485(02)00056-8","title":"Rolling ball method for 5-axis surface machining","year":2002,"lang":"en","type":"article","venue":"Computer-Aided Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":87,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Ball (mathematics); Machining; Regular polygon; Geometry; Curvature; Machine tool; Computation; Saddle; Computer science; Grid; Mathematics; Algorithm; Mechanical engineering; Engineering; Mathematical optimization","score_opus":0.04389425279705588,"score_gpt":0.2739178344094423,"score_spread":0.2300235816123864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031361178","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007031189,0.00068647304,0.99609756,0.00005889877,0.00015442306,0.00033321974,0.0000038587095,0.0016251589,0.00033727047],"genre_scores_gemma":[0.116221406,0.00006007849,0.88324803,0.00013263561,0.00014396776,0.00003263317,0.0000043319847,0.00006919393,0.00008770766],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862826,0.000099685516,0.00036695477,0.00034928028,0.0001505061,0.00040530853],"domain_scores_gemma":[0.9986281,0.00080289645,0.000058784437,0.00034148607,0.00005250968,0.00011621948],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037220225,0.00026657325,0.000422227,0.000100190555,0.000100019584,0.000059268863,0.000311182,0.0000999477,0.00006135852],"category_scores_gemma":[0.000039279494,0.00027064688,0.00017550643,0.0003276552,0.000017891856,0.00017683,0.000048263795,0.0001944167,0.000045247103],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000056836957,0.000022621209,0.000015456662,0.000030639214,0.00007367341,0.0000058611145,0.00012059127,0.84536844,0.006163513,0.00016725408,0.0037962543,0.14423002],"study_design_scores_gemma":[0.000231174,0.00010072128,0.000009443726,0.000028004495,0.000033460794,0.000007123148,0.000004087506,0.9737591,0.01828117,0.0028401539,0.004393212,0.00031231376],"about_ca_topic_score_codex":0.00000543821,"about_ca_topic_score_gemma":4.5399807e-7,"teacher_disagreement_score":0.14391771,"about_ca_system_score_codex":0.00008284735,"about_ca_system_score_gemma":0.0000031859227,"threshold_uncertainty_score":0.99997455},"labels":[],"label_agreement":null},{"id":"W2031740700","doi":"10.5555/601671.601685","title":"Simplicial subdivisions and sampling artifacts","year":2001,"lang":"en","type":"article","venue":"IEEE Visualization","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Subdivision; Barycentric coordinate system; Interpolation (computer graphics); Computer science; Sampling (signal processing); Filter (signal processing); Mathematics; Simplicial complex; Algorithm; Computer graphics (images); Artificial intelligence; Computer vision; Combinatorics; Geography; Geometry; Animation","score_opus":0.025920726669931383,"score_gpt":0.31876776743447016,"score_spread":0.29284704076453877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031740700","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35635948,0.00003911994,0.64267874,0.000011200823,0.00006660603,0.00004407868,8.2822703e-7,0.00046409605,0.0003358452],"genre_scores_gemma":[0.99732196,0.00027846082,0.0022154439,0.00003700218,0.000085408814,0.000008267269,0.000012977865,0.0000222647,0.00001820369],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953395,0.0000094315965,0.00013707933,0.000108294094,0.0000843334,0.00012690491],"domain_scores_gemma":[0.9997756,0.000043193464,0.000018543718,0.00008502527,0.000026064206,0.000051595478],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000039208684,0.00008218132,0.000095714284,0.00008388046,0.00005625229,0.000024548337,0.00003674231,0.00004415035,0.000023196679],"category_scores_gemma":[0.00003527616,0.00008328364,0.000019347232,0.0003256601,0.000015553209,0.00014514633,0.000008869299,0.000042974047,0.00001448644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064538806,0.00014208516,0.009578707,0.00008311582,0.00012911517,0.000011375295,0.0006795257,0.27767822,0.36917174,0.011748472,0.0019128345,0.32880026],"study_design_scores_gemma":[0.0004752187,0.000101093494,0.009425643,0.000048727674,0.0000681715,0.000009012565,0.000050857343,0.8756526,0.06482365,0.0068421857,0.04182538,0.0006774613],"about_ca_topic_score_codex":0.0000056813883,"about_ca_topic_score_gemma":0.0000148210465,"teacher_disagreement_score":0.6409625,"about_ca_system_score_codex":0.00002563554,"about_ca_system_score_gemma":0.0000020433076,"threshold_uncertainty_score":0.3396208},"labels":[],"label_agreement":null},{"id":"W2032370961","doi":"10.1016/s0377-0427(03)00435-7","title":"Planar G2 transition curves composed of cubic Bézier spiral segments","year":2003,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Inflection point; Bézier curve; Mathematics; Planar; Spiral (railway); Surface (topology); Geometry; Degree (music); Mathematical analysis; Computer science; Physics; Computer graphics (images)","score_opus":0.009335841076483062,"score_gpt":0.22846529845080207,"score_spread":0.21912945737431902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032370961","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13261332,0.000289437,0.86596686,0.00003597366,0.00001749661,0.00007063221,0.00000481942,0.000023212406,0.0009782355],"genre_scores_gemma":[0.69284767,0.000076700904,0.30699494,0.000050724713,0.000012994857,0.0000012282463,0.000003627304,0.000008806895,0.0000033022773],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992059,0.0000073262936,0.00044133037,0.000042432403,0.00023292525,0.00007007257],"domain_scores_gemma":[0.99958897,0.00008976819,0.0001718258,0.000037183752,0.00006795665,0.000044280012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012682265,0.00008946761,0.00027781352,0.00007656254,0.000020264044,0.0000062037225,0.00005028387,0.00002687314,0.000015041964],"category_scores_gemma":[0.0000072762596,0.00007437829,0.00005841632,0.0001077806,0.000032701315,0.000062355284,0.0000028830354,0.00009352674,0.0000010967659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004181749,0.00064804376,0.000045010816,0.0026887844,0.00058405264,0.000011966204,0.0012854153,0.8543016,0.05351931,0.078695744,0.0017165733,0.0064617125],"study_design_scores_gemma":[0.0016659487,0.00023344775,0.00043827866,0.00084498746,0.00031570002,0.00022021937,0.00037218374,0.103427544,0.055307336,0.8360618,0.0006503191,0.00046224688],"about_ca_topic_score_codex":7.559326e-8,"about_ca_topic_score_gemma":4.6575334e-8,"teacher_disagreement_score":0.75736606,"about_ca_system_score_codex":0.0000147038645,"about_ca_system_score_gemma":0.000008803615,"threshold_uncertainty_score":0.30330586},"labels":[],"label_agreement":null},{"id":"W2032609887","doi":"10.4028/www.scientific.net/amr.314-316.1242","title":"Vector Calculation for Tool Envelope Surface in Five-Axis NC Machining","year":2011,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Envelope (radar); Machining; Point (geometry); Surface (topology); Motion (physics); Machine tool; Mechanical engineering; Kinematics; Engineering; Geometry; Computer science; Mathematics; Physics; Classical mechanics; Artificial intelligence; Aerospace engineering","score_opus":0.06341755978444517,"score_gpt":0.35777572347040326,"score_spread":0.2943581636859581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032609887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9530238,0.00014252844,0.044720132,0.000023420991,0.00015529059,0.00075619336,0.000043212367,0.00038027202,0.0007551747],"genre_scores_gemma":[0.89919007,0.00014611971,0.100043274,0.000008452088,0.000039286322,0.0002623189,0.00003606047,0.000059759346,0.0002146688],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983088,0.00011154997,0.0004083672,0.0003210462,0.00026950834,0.0005807311],"domain_scores_gemma":[0.9992272,0.00022357203,0.000035936668,0.00030939054,0.00013827892,0.000065590524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079889176,0.00017130608,0.00032844086,0.00019910083,0.00008413521,0.00003109366,0.0002509448,0.000100457415,0.00021370653],"category_scores_gemma":[0.00032699874,0.00016906732,0.000043423322,0.00047413772,0.00005925899,0.00036677867,0.00008665394,0.0001873758,0.000049421124],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014914319,0.00003057744,0.0002672524,0.00011660699,0.000017895109,0.000007304154,0.00033591184,0.0067480356,0.9813139,0.00081825827,0.00009716708,0.010097954],"study_design_scores_gemma":[0.0003724487,0.00009989316,0.004296032,0.000059839025,0.000004186333,0.0000011115022,0.00004167654,0.0036949895,0.98345345,0.005697813,0.002013533,0.0002650272],"about_ca_topic_score_codex":0.00013704329,"about_ca_topic_score_gemma":0.000038592298,"teacher_disagreement_score":0.05532314,"about_ca_system_score_codex":0.00019714102,"about_ca_system_score_gemma":0.000016300251,"threshold_uncertainty_score":0.6894365},"labels":[],"label_agreement":null},{"id":"W2033810223","doi":"10.1016/s0377-0427(01)00478-2","title":"Coaxing a planar curve to comply","year":2002,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Mathematics; Interpolation (computer graphics); Focus (optics); Mathematical optimization; Graphics; Applied mathematics; Planar; Computer graphics; Optimal control; Bézier curve; Calculus (dental); Algorithm; Computer science; Geometry; Computer graphics (images); Animation","score_opus":0.01609878847386144,"score_gpt":0.23357668731675796,"score_spread":0.21747789884289653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033810223","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04346569,0.000104263825,0.95401317,0.00015988856,0.000018735676,0.000056790726,0.000003085569,0.000053451877,0.0021249447],"genre_scores_gemma":[0.51317745,0.000016507765,0.48664993,0.00009087346,0.000041457828,0.000001615687,7.5862954e-7,0.000009536044,0.000011896711],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999357,0.000002565886,0.00032412726,0.0000436706,0.00019088452,0.00008173879],"domain_scores_gemma":[0.9996066,0.00013360147,0.00008774219,0.00003775604,0.00005275064,0.0000815202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000073258234,0.0000829997,0.00021850245,0.00009561108,0.000030428253,0.00002043657,0.00007323087,0.000020102105,0.00002298329],"category_scores_gemma":[0.0000108762815,0.00006895955,0.00003710522,0.0001291139,0.000016165022,0.000047120433,0.000010938142,0.00009915963,0.000014045645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008907279,0.0001669329,0.000024243594,0.00019208482,0.00017075962,0.000014738053,0.0020569297,0.9095935,0.0032341834,0.051366873,0.011503533,0.02166732],"study_design_scores_gemma":[0.0005501049,0.0001367234,0.00023730737,0.00015552375,0.00007658257,0.00028293737,0.00045371725,0.70298827,0.0017969103,0.2850872,0.007839913,0.00039481896],"about_ca_topic_score_codex":6.9321885e-8,"about_ca_topic_score_gemma":8.339835e-8,"teacher_disagreement_score":0.46971175,"about_ca_system_score_codex":0.000019191331,"about_ca_system_score_gemma":0.000001858085,"threshold_uncertainty_score":0.28120887},"labels":[],"label_agreement":null},{"id":"W2035634444","doi":"10.1115/1.1468863","title":"Generic Simulation Approach for Multi-Axis Machining, Part 1: Modeling Methodology","year":2002,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Machining; Enhanced Data Rates for GSM Evolution; Computer science; Deflection (physics); Surface (topology); Cutting tool; Representation (politics); Topology (electrical circuits); Mechanical engineering; Engineering drawing; Engineering; Geometry; Mathematics; Artificial intelligence","score_opus":0.12026278415860878,"score_gpt":0.3079531524614327,"score_spread":0.1876903683028239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035634444","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14700225,0.00047784392,0.85220176,0.000009215044,0.000119238015,0.000059053087,6.1480785e-7,0.000094050556,0.000035997306],"genre_scores_gemma":[0.6015329,0.000105164574,0.3982479,0.0000104944675,0.00008026986,0.0000036407898,2.0835982e-7,0.000013846227,0.0000055595806],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989545,0.000009552601,0.00035601403,0.00015517877,0.00023625944,0.0002885049],"domain_scores_gemma":[0.9995178,0.00009282856,0.00007732981,0.00010719419,0.00008774532,0.00011711467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008106923,0.00014501704,0.00026762031,0.00036075278,0.00009701972,0.000048095688,0.00020737488,0.000050964623,0.0000042129554],"category_scores_gemma":[0.0002233605,0.00012639277,0.0000740101,0.0002059203,0.00004104504,0.0004920773,0.000029609862,0.0002014202,3.3926804e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017928348,0.000007952711,0.0000064970227,0.000039233742,0.000016337981,0.0000011174639,0.00012264229,0.96788865,0.006165517,0.000008968213,0.000008937459,0.025732338],"study_design_scores_gemma":[0.00014510176,0.00003413301,0.00004357159,0.00001751267,0.000022198048,0.00002547824,0.000028522118,0.9787786,0.020148719,0.000037105696,0.00057707785,0.00014195472],"about_ca_topic_score_codex":0.0000011300908,"about_ca_topic_score_gemma":9.488561e-8,"teacher_disagreement_score":0.45453066,"about_ca_system_score_codex":0.000088913,"about_ca_system_score_gemma":0.000004972196,"threshold_uncertainty_score":0.5154147},"labels":[],"label_agreement":null},{"id":"W2035959184","doi":"10.1007/s00041-011-9170-9","title":"Refinable Functions with Exponential Decay: An Approach via Cascade Algorithms","year":2011,"lang":"en","type":"article","venue":"Journal of Fourier Analysis and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Cascade; Exponential function; Exponential growth; Exponential decay; Entire function; Bivariate analysis; Exponential type; Wavelet; Algorithm; Mathematical analysis; Computer science; Physics; Quantum mechanics","score_opus":0.012682977281874239,"score_gpt":0.22646218255324846,"score_spread":0.21377920527137423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035959184","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011880393,0.0002306334,0.9856086,0.000014538782,0.000006817624,0.00007332614,0.000005612485,0.00006796321,0.0021121572],"genre_scores_gemma":[0.7123436,0.00016137824,0.2871177,0.000015327718,0.00013288867,0.000066099565,0.000015422034,0.000021999695,0.00012564023],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990624,0.000021703221,0.00038821873,0.00016317904,0.00019998098,0.00016451614],"domain_scores_gemma":[0.9991751,0.000014634432,0.00016908818,0.00028681068,0.00015980878,0.00019461557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016913512,0.00014124563,0.00035775034,0.00041259025,0.00013498489,0.000031154712,0.00015759257,0.000057502708,0.00006487877],"category_scores_gemma":[0.0000020326404,0.00010642606,0.0001793396,0.0012836293,0.00006781424,0.00032575126,0.000015462474,0.00020448815,0.000002379463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026679135,0.003857654,0.02279706,0.00016761923,0.027185913,0.0001014055,0.002969144,0.20103382,0.019361649,0.006601468,0.0015378202,0.7141197],"study_design_scores_gemma":[0.0020622779,0.0012688524,0.050899256,0.00004489144,0.034606107,0.0009159711,0.0026300712,0.77032113,0.031020015,0.011479563,0.09216837,0.0025834888],"about_ca_topic_score_codex":0.000046647398,"about_ca_topic_score_gemma":0.000018317713,"teacher_disagreement_score":0.71153617,"about_ca_system_score_codex":0.000033146498,"about_ca_system_score_gemma":0.0000108017675,"threshold_uncertainty_score":0.43399286},"labels":[],"label_agreement":null},{"id":"W2036346066","doi":"10.2316/journal.206.2007.2.206-2896","title":"TIME-OPTIMAL FEEDRATES ALONG CURVED PATHS FOR CARTESIAN CNC MACHINES WITH PRESCRIBED BOUNDS ON AXIS VELOCITIES AND ACCELERATIONS","year":2007,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cartesian coordinate system; Tree traversal; Acceleration; Path (computing); Control theory (sociology); Computer science; Mathematics; Horizontal axis; Geometry; Physics; Engineering; Algorithm; Structural engineering; Classical mechanics; Control (management); Artificial intelligence","score_opus":0.007563034714953333,"score_gpt":0.25089514298048826,"score_spread":0.24333210826553492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036346066","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3639674,0.0001385518,0.6351482,0.0004047542,0.00008393294,0.00008189933,0.000010563491,0.00006414757,0.00010053729],"genre_scores_gemma":[0.9226921,0.000056727757,0.07702715,0.00003400352,0.00011680643,0.000003012863,0.000018685496,0.000013734597,0.000037737493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993503,0.000007899667,0.0002890499,0.00006934398,0.00019381284,0.00008956218],"domain_scores_gemma":[0.99939764,0.00012525398,0.0001252078,0.00003805267,0.00026770175,0.00004613428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015793163,0.00010019772,0.00014078434,0.00017646482,0.00005965187,0.00010770568,0.0000743203,0.000036084595,0.000004503725],"category_scores_gemma":[0.000042185948,0.00008008504,0.000036522044,0.000059606235,0.000041722153,0.00031315073,0.000010217112,0.00008322802,4.014106e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024279181,0.00012554108,0.003672379,0.00006510067,0.0007213284,0.0000296781,0.0013868907,0.8658063,0.016029326,0.0054032826,0.00045476842,0.10606263],"study_design_scores_gemma":[0.0006706388,0.0003866603,0.01742355,0.00013455872,0.000069715046,0.00007745265,0.000114297945,0.9700047,0.008566344,0.0018215188,0.00052567956,0.00020490104],"about_ca_topic_score_codex":0.0000044566955,"about_ca_topic_score_gemma":0.000012551713,"teacher_disagreement_score":0.55872476,"about_ca_system_score_codex":0.00005022222,"about_ca_system_score_gemma":0.00001063183,"threshold_uncertainty_score":0.3265773},"labels":[],"label_agreement":null},{"id":"W2036472105","doi":"10.1016/j.cagd.2011.11.004","title":"L-system specification of knot-insertion rules for non-uniform B-spline subdivision","year":2011,"lang":"en","type":"article","venue":"Computer Aided Geometric Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Subdivision; Mathematics; Knot (papermaking); Equidistant; Grid; Subdivision surface; Hierarchy; Alphabet; Discrete mathematics; Combinatorics; Geometry; Polygon mesh","score_opus":0.04297346043271781,"score_gpt":0.23653444466902002,"score_spread":0.1935609842363022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036472105","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0074057328,0.000092936374,0.99093276,0.000002900508,0.00017576448,0.0004977234,0.00000627763,0.0005347948,0.00035112246],"genre_scores_gemma":[0.512442,0.000029936566,0.48736045,0.000005897918,0.000074938944,0.000030127443,0.000020474503,0.000024862908,0.000011335585],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871427,0.000020002099,0.0005659525,0.0002455314,0.00020266639,0.00025160646],"domain_scores_gemma":[0.9989544,0.00024199934,0.00015033317,0.0003608399,0.00021369242,0.000078721685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004782094,0.0001910085,0.00035630897,0.001164402,0.000043782136,0.000013461799,0.00027993158,0.00010532704,0.000012555212],"category_scores_gemma":[0.00003420628,0.00017890235,0.0001355226,0.0017301006,0.000026124646,0.00019918148,0.000038894963,0.00008791011,0.000032188495],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020345043,0.00030421402,0.0003602223,0.0007233903,0.00022630669,0.0000064174374,0.00025686907,0.029010324,0.0152148055,0.0027555113,0.004304359,0.9466341],"study_design_scores_gemma":[0.0003597818,0.0003324267,0.0057437546,0.000068440444,0.000047303307,0.0000034241161,0.0000142458875,0.8045542,0.18677337,0.0011462022,0.0006947639,0.00026205363],"about_ca_topic_score_codex":0.000007542399,"about_ca_topic_score_gemma":2.7339203e-7,"teacher_disagreement_score":0.9463721,"about_ca_system_score_codex":0.00013154026,"about_ca_system_score_gemma":0.000007008223,"threshold_uncertainty_score":0.7295426},"labels":[],"label_agreement":null},{"id":"W2036919980","doi":"10.1007/s00170-006-0825-7","title":"A 3D curvature gouge detection and elimination method for 5-axis CNC milling of curved surfaces","year":2007,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Curvature; Machining; Torus; Surface (topology); Engineering drawing; Milling cutter; Geometry; Engineering; Mechanical engineering; Mathematics","score_opus":0.006810593547383773,"score_gpt":0.27928893737199295,"score_spread":0.27247834382460917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036919980","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41697335,0.0005059796,0.5818242,0.00032629375,0.00017923959,0.00008467584,0.000003355392,0.00008532466,0.000017582053],"genre_scores_gemma":[0.7346635,0.00041858444,0.26481292,0.000018706776,0.00005485796,0.000004880193,0.0000011489975,0.000016761083,0.000008656895],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99895775,0.000013704297,0.0005120539,0.00011860141,0.00023198151,0.0001658917],"domain_scores_gemma":[0.9988068,0.00037041667,0.00038599138,0.00013237596,0.0002768422,0.000027572687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005987797,0.00014037467,0.00026423117,0.0004982954,0.00004581865,0.000011552123,0.00041884708,0.00012826669,0.000003206427],"category_scores_gemma":[0.00019278601,0.000107727516,0.000092695635,0.00015545021,0.0000768438,0.00021235229,0.00006103294,0.00033586094,2.3297837e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015883899,0.00001768646,0.00002771315,0.000025010728,0.00020555811,0.0000046113432,0.00008684466,0.044756506,0.52568257,0.0003514393,0.000007304634,0.4286759],"study_design_scores_gemma":[0.00033992983,0.00014012792,0.0003417581,0.00005566876,0.00004326804,0.00008665519,0.00018165326,0.00830371,0.9667211,0.020933814,0.002749444,0.000102874306],"about_ca_topic_score_codex":0.0000049602936,"about_ca_topic_score_gemma":0.000029174102,"teacher_disagreement_score":0.4410385,"about_ca_system_score_codex":0.000121081124,"about_ca_system_score_gemma":0.000006051434,"threshold_uncertainty_score":0.43930006},"labels":[],"label_agreement":null},{"id":"W2037386608","doi":"10.1016/j.cag.2013.09.003","title":"Atlas of connectivity maps","year":2013,"lang":"en","type":"article","venue":"Computers & Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Atlas (anatomy); Subdivision; Computer graphics; Data structure; Graphics; Set (abstract data type); Theoretical computer science; Computer graphics (images); Data mining; Programming language","score_opus":0.006875335206571415,"score_gpt":0.20644613467281087,"score_spread":0.19957079946623946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037386608","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2636777,0.00017496974,0.7345584,0.00006824501,0.000120704695,0.00012417667,0.000002965824,0.00060073176,0.00067208277],"genre_scores_gemma":[0.97612005,0.000074279415,0.023683345,0.000058717415,0.000024335961,0.000012077234,0.0000045825464,0.000016558944,0.000006046192],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994525,0.000015242722,0.0001673945,0.00011658854,0.00010173059,0.00014655416],"domain_scores_gemma":[0.9995269,0.00009636191,0.000033234366,0.00022856628,0.000058585105,0.00005632881],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000041280906,0.00010909072,0.00020967555,0.00011411196,0.000020493319,0.000010702635,0.00016409936,0.000053469066,0.00001582809],"category_scores_gemma":[0.0000104277715,0.000105008985,0.00010056809,0.0003977423,0.00007365131,0.00012241518,0.000042342683,0.00012765442,0.000016988874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021570693,0.0006317992,0.05978359,0.0010115476,0.0015598816,0.000033312648,0.0010292012,0.09909407,0.10561752,0.12971959,0.17321298,0.42828494],"study_design_scores_gemma":[0.0005513317,0.00023300452,0.04011023,0.00013253496,0.00008620192,0.00001238592,0.000039136976,0.7028087,0.071272716,0.16290617,0.020741174,0.0011064287],"about_ca_topic_score_codex":0.00003355232,"about_ca_topic_score_gemma":0.0000033953079,"teacher_disagreement_score":0.71244234,"about_ca_system_score_codex":0.000014786966,"about_ca_system_score_gemma":0.0000023988864,"threshold_uncertainty_score":0.42821422},"labels":[],"label_agreement":null},{"id":"W2037976666","doi":"10.1115/imece2003-42428","title":"Quintic Spline Interpolation With Minimal Feed Fluctuation","year":2003,"lang":"en","type":"article","venue":"Manufacturing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spline (mechanical); Spline interpolation; Parameterized complexity; Mathematics; Smoothing spline; Jerk; Arc length; Quintic function; Interpolation (computer graphics); Control theory (sociology); Algorithm; Applied mathematics; Mathematical analysis; Arc (geometry); Computer science; Bilinear interpolation; Acceleration; Geometry; Engineering; Structural engineering; Physics; Artificial intelligence; Statistics","score_opus":0.005858038061409717,"score_gpt":0.20864606697525864,"score_spread":0.20278802891384892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037976666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5551338,0.000025724672,0.4414256,0.000012564865,0.000028609498,0.00007499698,4.1815238e-7,0.00044854244,0.0028496997],"genre_scores_gemma":[0.96166784,0.000005388679,0.03815334,0.000018998988,0.000027310592,0.0000128160655,0.0000068505465,0.000027352919,0.000080099206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994282,0.000011603297,0.00015268604,0.00013591148,0.00011003093,0.00016155564],"domain_scores_gemma":[0.9997525,0.000022195954,0.000028153825,0.00014444727,0.000012932091,0.0000397471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005284118,0.00012641393,0.0001279597,0.00009520449,0.000035268695,0.000022336764,0.00005780005,0.00003578432,0.000111647314],"category_scores_gemma":[0.000014670451,0.00010827482,0.00003199719,0.000092989976,0.00001582208,0.00016647545,0.000008776775,0.000107290594,0.000028310133],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013206358,0.00011471308,0.002870555,0.00040374044,0.00047345544,0.00005107851,0.0013327163,0.5014655,0.3784535,0.0020187323,0.000704332,0.11197964],"study_design_scores_gemma":[0.00022028056,0.00005541511,0.004119586,0.0000360928,0.000035309262,0.000010857303,0.00006244558,0.04942888,0.941109,0.0013720863,0.00325961,0.00029046435],"about_ca_topic_score_codex":0.0000054239254,"about_ca_topic_score_gemma":0.000009652125,"teacher_disagreement_score":0.5626555,"about_ca_system_score_codex":0.00008573552,"about_ca_system_score_gemma":0.0000032486714,"threshold_uncertainty_score":0.4415319},"labels":[],"label_agreement":null},{"id":"W2039600209","doi":"10.1243/0954405001518053","title":"Optimal workpiece orientations for machining of sculptured surfaces","year":2000,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Machining; Set (abstract data type); Point (geometry); Computer science; Mechanical engineering; Engineering drawing; Cartesian coordinate system; Table (database); Algorithm; Engineering; Geometry; Mathematics; Data mining","score_opus":0.006794903939847669,"score_gpt":0.217828686917558,"score_spread":0.21103378297771033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039600209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68359506,0.00040643243,0.3148321,0.00013623887,0.00041449186,0.000313668,0.00003232366,0.00012245617,0.00014727429],"genre_scores_gemma":[0.923657,0.00013043507,0.07606262,0.000007484233,0.000082737206,0.000007922366,0.000002068098,0.00002877974,0.000020972293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983781,0.000003924024,0.00089173095,0.00012079944,0.0003869834,0.00021847796],"domain_scores_gemma":[0.9990423,0.00009644957,0.00034704918,0.00011145598,0.00030973958,0.00009304173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032742415,0.00023225446,0.00056721875,0.00019014816,0.00003853712,0.000010587374,0.00046132357,0.00015288462,0.000032914613],"category_scores_gemma":[0.00028567945,0.00017711856,0.00038887947,0.00043102942,0.00006295365,0.00031910324,0.000027122825,0.0003901452,2.7724226e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053957327,0.000035688325,0.000009996347,0.0002807313,0.00018155387,2.271881e-7,0.00011419639,0.9363316,0.05941191,0.0024626276,0.0002405326,0.00087697874],"study_design_scores_gemma":[0.0005711591,0.00018142,0.00011061892,0.0006940346,0.00021360509,0.000019750853,0.00008264777,0.13748628,0.85468334,0.0004166295,0.0053099943,0.0002305421],"about_ca_topic_score_codex":0.0000015190766,"about_ca_topic_score_gemma":1.3936997e-7,"teacher_disagreement_score":0.7988453,"about_ca_system_score_codex":0.00006665783,"about_ca_system_score_gemma":0.000021879214,"threshold_uncertainty_score":0.7222685},"labels":[],"label_agreement":null},{"id":"W2039820379","doi":"10.3166/ria.28.547-569","title":"Maintenir des MDD persistants pour établir la consistance d’arc","year":2014,"lang":"fr","type":"article","venue":"Revue d intelligence artificielle","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Psychology","score_opus":0.024546722591766566,"score_gpt":0.26609099311787154,"score_spread":0.24154427052610497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039820379","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008869853,0.007344333,0.91765517,0.0019406663,0.00044089003,0.00023829355,0.00003204859,0.00055207853,0.06292668],"genre_scores_gemma":[0.87139946,0.002565323,0.08997544,0.00016616614,0.00028756406,0.00004187368,0.000009533565,0.00012308314,0.035431523],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99676216,0.00026361077,0.0008934648,0.0007493171,0.00028285198,0.0010485958],"domain_scores_gemma":[0.997365,0.00088563375,0.00017986522,0.00090626656,0.00030685708,0.0003563784],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007945198,0.00053789886,0.00069895614,0.00021645622,0.0002843302,0.00014913295,0.0006348285,0.00030798963,0.0019391106],"category_scores_gemma":[0.0008473187,0.0006077877,0.00040093655,0.0011332957,0.0009492674,0.00037783562,0.00014567176,0.00067318225,0.0023760502],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060178198,0.00049948314,0.00079414353,0.0011106075,0.00026200016,0.00012579333,0.0025921648,0.22113521,0.036439463,0.16019002,0.009296314,0.56749463],"study_design_scores_gemma":[0.000058814036,0.00011593333,0.00006595624,0.00079055014,0.000119763296,0.000089393296,0.0015569136,0.55512774,0.1085012,0.061397724,0.27140835,0.000767658],"about_ca_topic_score_codex":0.00015224352,"about_ca_topic_score_gemma":0.00011013493,"teacher_disagreement_score":0.86252964,"about_ca_system_score_codex":0.00043682667,"about_ca_system_score_gemma":0.00005004104,"threshold_uncertainty_score":0.99963737},"labels":[],"label_agreement":null},{"id":"W2041216738","doi":"10.1016/j.acha.2006.04.007","title":"Scalar and Hermite subdivision schemes","year":2006,"lang":"en","type":"article","venue":"Applied and Computational Harmonic Analysis","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subdivision; Hermite polynomials; Mathematics; Scalar (mathematics); Hermite spline; Convergence (economics); Hermite interpolation; Applied mathematics; Mathematical analysis; Geometry; Statistics; Spline interpolation","score_opus":0.002945079285228009,"score_gpt":0.19334455377361928,"score_spread":0.19039947448839128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041216738","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.37609375,0.0009895179,0.62127614,0.00004713136,0.000004046229,0.000051663203,0.0000048980132,0.00025294613,0.0012799539],"genre_scores_gemma":[0.97916365,0.00009959447,0.020513844,0.00005345505,0.000023581486,0.00001409824,0.000079855876,0.000012451248,0.00003945661],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992726,0.0000070284823,0.00020121677,0.00022523265,0.00015930289,0.00013461644],"domain_scores_gemma":[0.9997412,0.00006338318,0.000032273187,0.000084093335,0.000026994567,0.000052031784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057777444,0.00013390162,0.00024514395,0.00019360654,0.00008305881,0.000037985894,0.000051762032,0.000043207416,0.00002515697],"category_scores_gemma":[0.0000015282519,0.00012688412,0.000073775904,0.000664129,0.000062310195,0.000063850865,0.00003323637,0.00007927742,0.0000065780214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019636174,0.0001020568,0.01450567,0.00006927155,0.001991092,0.00000921225,0.00006308014,0.72478795,0.0054256916,0.13066146,0.00063991727,0.12172498],"study_design_scores_gemma":[0.000202276,0.000008202174,0.055218644,0.0000038233557,0.0005538629,0.0000020523235,0.000019517,0.8918965,0.0012559524,0.049116645,0.0014510162,0.00027151263],"about_ca_topic_score_codex":0.00001424671,"about_ca_topic_score_gemma":0.0000034737607,"teacher_disagreement_score":0.6030699,"about_ca_system_score_codex":0.00002002902,"about_ca_system_score_gemma":0.0000031714806,"threshold_uncertainty_score":0.5174184},"labels":[],"label_agreement":null},{"id":"W2041572503","doi":"10.1016/j.cam.2006.06.003","title":"Higher order approximations using interpolation applied to collocation solutions of two-point boundary value problems","year":2006,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Mathematics; Interpolation (computer graphics); Collocation (remote sensing); Hermite interpolation; Polynomial interpolation; Boundary (topology); Boundary value problem; Collocation method; Applied mathematics; Polynomial; Interval (graph theory); Second derivative; Derivative (finance); Mathematical analysis; Hermite polynomials; Function (biology); Differential equation; Linear interpolation; Ordinary differential equation; Combinatorics; Computer science","score_opus":0.015248531551605318,"score_gpt":0.25434496848456756,"score_spread":0.23909643693296223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041572503","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029238313,0.000055910292,0.9686777,0.00007711047,0.00003747936,0.0002129975,0.0000055730593,0.000045435234,0.0016494701],"genre_scores_gemma":[0.49566606,0.0000018841919,0.50423044,0.000014792657,0.00005470806,0.000007390699,0.000007429551,0.000011627977,0.0000056626236],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988508,0.0000065448007,0.0006979042,0.000074838405,0.0002609617,0.000108948734],"domain_scores_gemma":[0.99925864,0.00010347181,0.00030302833,0.00006659912,0.00022122196,0.00004702786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018988228,0.000119588614,0.00027738087,0.00021146669,0.000079236524,0.00003092644,0.00007384736,0.000037427282,0.000010267469],"category_scores_gemma":[0.000008414207,0.00010843352,0.00004721977,0.00040589547,0.000050489503,0.00010988016,0.000026374591,0.00010341368,0.0000016393587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042131123,0.00008684946,0.000003448109,0.00009724358,0.000036899226,1.113109e-7,0.00015233798,0.8274498,0.023665978,0.14779186,0.0001949924,0.0005162421],"study_design_scores_gemma":[0.0002904571,0.000023548444,0.0001200011,0.00007341542,0.00007293855,0.000014629969,0.000075502685,0.57323766,0.00181266,0.42400172,0.00015071518,0.00012675243],"about_ca_topic_score_codex":0.0000023160046,"about_ca_topic_score_gemma":9.889498e-7,"teacher_disagreement_score":0.46642774,"about_ca_system_score_codex":0.00007086261,"about_ca_system_score_gemma":0.000030791933,"threshold_uncertainty_score":0.44217908},"labels":[],"label_agreement":null},{"id":"W2042012835","doi":"10.1016/j.cagd.2005.01.002","title":"Hermite interpolation of space curves using the symmetric algebra","year":2005,"lang":"en","type":"article","venue":"Computer Aided Geometric Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Mathematics; Curvature; Tangent; Interpolation (computer graphics); Hermite interpolation; Conjecture; Torsion (gastropod); Pure mathematics; Mathematical analysis; Geometry; Algebra over a field; Hermite polynomials; Image (mathematics)","score_opus":0.02414635884958801,"score_gpt":0.25205670355074344,"score_spread":0.22791034470115543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042012835","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042093736,0.0053891023,0.98941964,0.000076260054,0.00009673004,0.00023933944,0.0000013788261,0.00034588898,0.00022227416],"genre_scores_gemma":[0.63604814,0.00036534492,0.3632647,0.00012608268,0.00012996886,0.0000074558793,0.00000221339,0.000028122096,0.00002796461],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987926,0.0000857359,0.00040558056,0.00019729714,0.000271723,0.00024705843],"domain_scores_gemma":[0.99881214,0.0005426428,0.00011886913,0.0003659869,0.000100846795,0.000059513135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036061776,0.00019099102,0.0003212243,0.0012233402,0.00004709614,0.000027497941,0.00035860873,0.00005980189,0.000035748413],"category_scores_gemma":[0.000101953665,0.00014887525,0.00012732626,0.0064783096,0.000046535795,0.00027169785,0.00008223107,0.00018108204,0.000016337508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000076919005,0.00006726129,0.0003014238,0.00013160647,0.00017815264,0.0000029933296,0.00007307814,0.5802987,0.0032619045,0.00026437428,0.006866782,0.408546],"study_design_scores_gemma":[0.00011564219,0.000060453272,0.0007420808,0.00009517762,0.000057620025,0.000009191639,0.0000040576538,0.9808269,0.01625396,0.00035026312,0.0012891763,0.00019546266],"about_ca_topic_score_codex":0.000008437684,"about_ca_topic_score_gemma":3.3003704e-7,"teacher_disagreement_score":0.63183874,"about_ca_system_score_codex":0.000103035476,"about_ca_system_score_gemma":0.000009963679,"threshold_uncertainty_score":0.60709566},"labels":[],"label_agreement":null},{"id":"W2042315492","doi":"10.1007/s00466-012-0737-3","title":"A comparative study between two smoothing strategies for the simulation of contact with large sliding","year":2012,"lang":"en","type":"article","venue":"Computational Mechanics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Finite element method; Discontinuity (linguistics); Smoothing; Mathematics; Surface (topology); Discretization; Quadrilateral; Mathematical analysis; Geometry; Applied mathematics; Calculus (dental); Physics; Thermodynamics","score_opus":0.04889095760880617,"score_gpt":0.3502438676303651,"score_spread":0.3013529100215589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042315492","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.118605,0.000082298124,0.8807108,0.0000065774693,0.000028622873,0.0004093377,0.000015616435,0.000114526054,0.000027247925],"genre_scores_gemma":[0.97537696,5.799586e-7,0.02446934,0.000009295221,0.000062168976,0.000044939512,0.000020181868,0.000015784624,7.537979e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993502,0.000027454096,0.00020718045,0.00008325722,0.00018027613,0.00015164001],"domain_scores_gemma":[0.9986631,0.0010142365,0.00008317591,0.00008323802,0.00012706674,0.000029151752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022400159,0.00010825388,0.0002212151,0.000049733404,0.00009677896,0.000019608273,0.00009339668,0.000019612102,0.0000035844728],"category_scores_gemma":[0.000015109045,0.00007741595,0.00004067394,0.00018690265,0.0000052682217,0.0002732523,0.00001965052,0.00008608811,9.298761e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010503239,0.000043356154,0.00047251937,0.000012503903,0.00015261001,7.276867e-8,0.0014491804,0.96945506,0.00018226092,0.027836343,0.0000041748017,0.00038141475],"study_design_scores_gemma":[0.00034944635,0.00012019997,0.0012340986,0.000013642565,0.000092104776,2.407172e-7,0.0024397282,0.9799233,0.00040414304,0.0152597,0.00006395271,0.0000994536],"about_ca_topic_score_codex":0.0000027883289,"about_ca_topic_score_gemma":0.0000040933696,"teacher_disagreement_score":0.85677195,"about_ca_system_score_codex":0.000040778195,"about_ca_system_score_gemma":0.000011889359,"threshold_uncertainty_score":0.31569308},"labels":[],"label_agreement":null},{"id":"W2042670297","doi":"10.1016/j.comgeo.2014.01.002","title":"Similarity of polygonal curves in the presence of outliers","year":2014,"lang":"en","type":"article","venue":"Computational Geometry","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Outlier; Similarity (geometry); Mathematics; Measure (data warehouse); Time complexity; Degree (music); Polygonal chain; Polynomial; Combinatorics; Algorithm; Geometry; Computer science; Mathematical analysis; Image (mathematics); Artificial intelligence; Statistics; Data mining; Regular polygon","score_opus":0.008529345386340686,"score_gpt":0.24711355288605213,"score_spread":0.23858420749971146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042670297","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24034299,0.0006748056,0.7572582,0.00020056509,0.0000319084,0.00009608081,0.000014530696,0.00006120654,0.0013197527],"genre_scores_gemma":[0.98564124,0.00002266079,0.014203578,0.00009682595,0.000011477201,0.0000041881817,0.000011622418,0.0000047634167,0.0000036554889],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993654,0.00003722415,0.00021317069,0.00007077748,0.00023735584,0.00007606096],"domain_scores_gemma":[0.999273,0.00051329273,0.000044577228,0.00010371429,0.000050238406,0.000015146263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022837843,0.000057555277,0.00014441338,0.00012527761,0.000009709373,0.0000022009872,0.00018963922,0.000022985427,0.000016689486],"category_scores_gemma":[0.0001861218,0.00004587511,0.000046119985,0.0005896262,0.00007226923,0.000052827225,0.000021917176,0.000094451774,0.000001271965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004004495,0.00006039353,0.013185814,0.0002014239,0.000024214018,4.2080558e-7,0.000090463276,0.9752354,0.00035914735,0.0036981874,0.0008348885,0.006305627],"study_design_scores_gemma":[0.00020212897,0.00006405789,0.25844526,0.00014726468,0.000020134143,0.0000027148708,0.000063746564,0.67803496,0.0026136215,0.05956353,0.0006629765,0.00017963882],"about_ca_topic_score_codex":0.0000073627125,"about_ca_topic_score_gemma":0.0000012523287,"teacher_disagreement_score":0.7452982,"about_ca_system_score_codex":0.0000099365825,"about_ca_system_score_gemma":0.000005835909,"threshold_uncertainty_score":0.18707326},"labels":[],"label_agreement":null},{"id":"W2042718509","doi":"10.1145/2558307","title":"Computing smooth surface contours with accurate topology","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Surface (topology); Computer science; Consistency (knowledge bases); Subdivision; Representation (politics); Topology (electrical circuits); Tessellation (computer graphics); Visibility; Algorithm; Mathematics; Computer vision; Artificial intelligence; Computer graphics (images); Geometry","score_opus":0.01069633877148749,"score_gpt":0.2462554775732553,"score_spread":0.23555913880176782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042718509","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08218086,0.000030151345,0.9160138,0.0003483675,0.00006842695,0.00007833451,0.000004204861,0.0008464516,0.00042942105],"genre_scores_gemma":[0.9602617,0.00009504134,0.039326027,0.00023649681,0.000017098944,0.000005553472,0.00000327857,0.000035215828,0.000019572983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999225,0.000038175698,0.00017285772,0.00019312714,0.00012455352,0.0002462724],"domain_scores_gemma":[0.9991605,0.00024629323,0.00003313792,0.00043813422,0.00004698173,0.00007491725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000093108894,0.00017320439,0.00022702997,0.00011370086,0.00012975826,0.000017092143,0.00022788347,0.000091216025,0.000025028688],"category_scores_gemma":[0.000014238339,0.00015165914,0.000078783676,0.000509614,0.00010945667,0.00009611725,0.000002743684,0.0003515101,0.000010105588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003981591,0.00010525646,0.00063386944,0.000041900203,0.0002448573,0.0000058739947,0.00017559725,0.91710883,0.002401863,0.002956488,0.0001510387,0.07613459],"study_design_scores_gemma":[0.002392359,0.0016573758,0.0053547337,0.0002215407,0.0005751604,0.0000586149,0.0005388268,0.822581,0.08373092,0.040094204,0.040197805,0.002597492],"about_ca_topic_score_codex":0.000036208967,"about_ca_topic_score_gemma":0.00015682411,"teacher_disagreement_score":0.87808084,"about_ca_system_score_codex":0.000026287533,"about_ca_system_score_gemma":0.0000051203738,"threshold_uncertainty_score":0.618448},"labels":[],"label_agreement":null},{"id":"W2042746778","doi":"10.4153/cmb-2011-081-6","title":"Convergence Rates of Cascade Algorithms with Infinitely Supported Masks","year":2011,"lang":"en","type":"article","venue":"Canadian Mathematical Bulletin","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Sequence (biology); Rate of convergence; Function (biology); Convergence (economics); Exponential function; Matrix (chemical analysis); Algorithm; Integer (computer science); Operator (biology); Combinatorics; Applied mathematics; Discrete mathematics; Mathematical analysis; Computer science","score_opus":0.024214908840510335,"score_gpt":0.2261782067925213,"score_spread":0.20196329795201096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042746778","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34089392,0.0004472452,0.5110464,0.00072630815,0.000105400446,0.0010317563,0.00013564815,0.0012016135,0.14441167],"genre_scores_gemma":[0.9299004,0.000017205359,0.0695513,0.000111667316,0.000012502958,0.000034373374,0.000007027172,0.00004342706,0.00032206695],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99902624,0.000015105504,0.00031893482,0.00015646839,0.00013563113,0.00034762753],"domain_scores_gemma":[0.99916404,0.00006851323,0.000043204924,0.00026471983,0.000064083935,0.00039541905],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000917306,0.0001746275,0.00031750952,0.00014100054,0.000026281901,0.0000071207387,0.00020473875,0.00008937662,0.01454867],"category_scores_gemma":[0.000071413764,0.0001451102,0.00005537853,0.0002726809,0.00015414061,0.00003236309,0.000013178981,0.00015798846,0.0009920306],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062272727,0.0027208468,0.05801258,0.013728148,0.009734664,0.009993977,0.037368573,0.0067310478,0.05050198,0.43143356,0.24431449,0.1348374],"study_design_scores_gemma":[0.0016818622,0.0010845939,0.009167528,0.0010989095,0.00077725225,0.00036938483,0.0015305597,0.062907,0.5843177,0.11370162,0.21901463,0.0043489556],"about_ca_topic_score_codex":0.0009223142,"about_ca_topic_score_gemma":0.00057790667,"teacher_disagreement_score":0.5890065,"about_ca_system_score_codex":0.000059126607,"about_ca_system_score_gemma":0.000042199412,"threshold_uncertainty_score":0.99978584},"labels":[],"label_agreement":null},{"id":"W2045712745","doi":"10.1115/1.2823218","title":"An Efficient, Accurate Approach to Representing Cutter-Swept Envelopes and Its Applications to Three-Axis Virtual Milling of Sculptured Surfaces","year":2008,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Envelope (radar); Discretization; Tool path; Milling cutter; Surface (topology); Computer science; Mechanical engineering; Engineering drawing; Engineering; Geometry; Mathematics; Mathematical analysis","score_opus":0.01684359050651917,"score_gpt":0.24869202143266905,"score_spread":0.23184843092614987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045712745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64441293,0.0001568522,0.35520655,0.000018551189,0.000024506242,0.00009893522,0.0000010533979,0.0000529815,0.000027634263],"genre_scores_gemma":[0.9412539,0.000080036145,0.05856726,0.00001793693,0.00005227995,0.000008103305,2.7311853e-7,0.000017158976,0.0000030539707],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986449,0.00000654993,0.00040631136,0.00024123638,0.00040973848,0.0002912503],"domain_scores_gemma":[0.9992609,0.00006111243,0.000092144845,0.0001733997,0.0001355695,0.00027685752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004990975,0.00016756024,0.0002991644,0.0004907578,0.00015938662,0.00005538539,0.0003460547,0.000038454353,0.0000010192996],"category_scores_gemma":[0.00011666503,0.00014611697,0.000041153067,0.0005682826,0.00006080971,0.00046583565,0.00008770804,0.00018816088,7.216399e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031955576,0.000012774334,0.00007202438,0.000035708057,0.000013014177,0.0000015768832,0.00045380802,0.83423406,0.1622666,0.000015171672,0.000005048454,0.002886992],"study_design_scores_gemma":[0.000099175435,0.000081757185,0.00670068,0.00009178254,0.000016293097,0.00006446343,0.00014300841,0.38482606,0.6073345,0.000013669234,0.0003826993,0.0002459135],"about_ca_topic_score_codex":0.0000055273504,"about_ca_topic_score_gemma":5.1158094e-7,"teacher_disagreement_score":0.44940802,"about_ca_system_score_codex":0.000051002677,"about_ca_system_score_gemma":0.00001641692,"threshold_uncertainty_score":0.5958477},"labels":[],"label_agreement":null},{"id":"W2046283333","doi":"10.1145/2576802.2576815","title":"Recursive sparse interpolation","year":2014,"lang":"en","type":"article","venue":"ACM communications in computer algebra","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Interpolation (computer graphics); Computer science; Mathematics; Algorithm; Artificial intelligence","score_opus":0.02142148638450745,"score_gpt":0.28240433769836026,"score_spread":0.2609828513138528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046283333","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010685457,0.00019474393,0.98527676,0.0007266213,0.000073323165,0.000110702116,0.0000011090689,0.000579803,0.0023514905],"genre_scores_gemma":[0.5790389,0.00013978322,0.4205996,0.00012898438,0.000028152896,0.000026598233,0.000019967336,0.000013542372,0.000004424336],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992953,0.000095122974,0.00026785635,0.00012850949,0.00007239139,0.00014082107],"domain_scores_gemma":[0.9973485,0.0003544628,0.000037518712,0.0021843612,0.000039037015,0.000036123234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014685557,0.00011040764,0.00016120053,0.00016901785,0.000050415412,0.000024030089,0.0013050163,0.000052941672,0.00001505493],"category_scores_gemma":[0.00007651952,0.00012019515,0.000044948785,0.00040730365,0.00006586055,0.00017508384,0.0005206323,0.00025287218,0.000057894256],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005772012,0.00018974443,0.0063970196,0.000029827823,0.00008929434,0.0000012023951,0.0011926504,0.01942492,0.0010403816,0.061209284,0.00603037,0.90438956],"study_design_scores_gemma":[0.000123514,0.000027239312,0.0030414471,0.000049232498,0.0000088444,0.0000024612916,0.000010223065,0.8828962,0.00033131414,0.09485273,0.01846213,0.00019465052],"about_ca_topic_score_codex":0.000013221643,"about_ca_topic_score_gemma":0.000045533503,"teacher_disagreement_score":0.9041949,"about_ca_system_score_codex":0.000067515924,"about_ca_system_score_gemma":0.000003265211,"threshold_uncertainty_score":0.4901416},"labels":[],"label_agreement":null},{"id":"W2046709619","doi":"10.1155/s0161171200004233","title":"The product of <i>r</i><sup>−<i>k</i></sup> and ∇<i>δ</i> on <i>ℝ</i><sup><i>m</i></sup>","year":2000,"lang":"en","type":"article","venue":"International Journal of Mathematics and Mathematical Sciences","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cape Breton University","funders":"","keywords":"Mathematics; Product (mathematics); Combinatorics; Geometry","score_opus":0.011253729734959932,"score_gpt":0.2638398858308383,"score_spread":0.25258615609587837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046709619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9559937,0.0018560985,0.020207744,0.0031248364,0.00009849944,0.0003278959,0.000018019231,0.0001046531,0.018268514],"genre_scores_gemma":[0.93720895,0.0032346542,0.058991723,0.00017811042,0.0001668953,0.000009527502,5.4244106e-7,0.000025067706,0.00018453185],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99783874,0.00002898846,0.0008299225,0.0001669453,0.0009029194,0.00023251736],"domain_scores_gemma":[0.9984766,0.00083523395,0.00022161189,0.00016843612,0.00017352549,0.0001245973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010630289,0.00020006926,0.00040079732,0.00012034925,0.00013028497,0.00014529449,0.0006266831,0.000045099176,0.00010286391],"category_scores_gemma":[0.00031103604,0.00011613137,0.00011877654,0.00022166828,0.0005921023,0.0002654238,0.00006618843,0.00021706996,0.000010149296],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018836673,0.0019870626,0.0003954043,0.0010105405,0.0014810052,0.000093766066,0.009642565,0.1292231,0.005621719,0.30960566,0.008346172,0.53240466],"study_design_scores_gemma":[0.00085131807,0.0007262423,0.000055227047,0.0011650429,0.00017776364,0.0008876081,0.001889009,0.43709356,0.013312447,0.52318406,0.020055663,0.00060209876],"about_ca_topic_score_codex":0.00000171531,"about_ca_topic_score_gemma":4.568064e-7,"teacher_disagreement_score":0.53180254,"about_ca_system_score_codex":0.000025251802,"about_ca_system_score_gemma":0.00002182692,"threshold_uncertainty_score":0.47356996},"labels":[],"label_agreement":null},{"id":"W2046849197","doi":"10.1007/s00500-013-1012-z","title":"Managing uncertainty and discontinuous condition numbers in geometric computation","year":2013,"lang":"en","type":"article","venue":"Soft Computing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Robustness (evolution); Subdivision; Computation; Interval arithmetic; Computer science; Mathematical optimization; Floating point; Interval (graph theory); Mathematics; Algorithm; Topology (electrical circuits); Theoretical computer science; Combinatorics; Engineering","score_opus":0.004837242475969983,"score_gpt":0.23478051448807516,"score_spread":0.22994327201210518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046849197","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47813123,0.000104899016,0.52066123,0.000041932173,0.00003135879,0.00010393084,4.3230588e-7,0.00034081607,0.0005842001],"genre_scores_gemma":[0.9865788,0.000015589656,0.013290492,0.000040281375,0.000027851502,0.0000070823085,0.000014588821,0.000017179662,0.000008090692],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992973,0.000019331159,0.00022190862,0.0001624781,0.00008886349,0.00021007839],"domain_scores_gemma":[0.99969023,0.00013532338,0.00004156889,0.000064926,0.000025195732,0.00004277722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000092557275,0.000111209374,0.00017437097,0.00026117504,0.00004729384,0.00004969002,0.000056259807,0.000034958226,0.000010845055],"category_scores_gemma":[0.000032945052,0.00011610842,0.000026080828,0.0006372578,0.000029717476,0.00019374503,0.00004102885,0.00013981947,0.00001443512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.2353896e-7,0.0000097789225,0.0077283634,0.000045567667,0.000015498164,0.0000037520401,0.00015175295,0.5945051,0.0005679939,0.00007143038,0.00016937157,0.39673072],"study_design_scores_gemma":[0.00014118064,0.000009999457,0.018883161,0.0000457767,0.000005798122,0.0000036351141,0.00014942404,0.9734066,0.00014587912,0.0070007965,0.000048093036,0.00015963979],"about_ca_topic_score_codex":0.00019874283,"about_ca_topic_score_gemma":0.000011810542,"teacher_disagreement_score":0.50844765,"about_ca_system_score_codex":0.00008186275,"about_ca_system_score_gemma":0.0000018041189,"threshold_uncertainty_score":0.4734764},"labels":[],"label_agreement":null},{"id":"W2049088663","doi":"10.1016/j.rcim.2004.10.003","title":"Determining gouge-free ball-end mills for 3D surface machining from point cloud data","year":2005,"lang":"en","type":"article","venue":"Robotics and Computer-Integrated Manufacturing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Point cloud; Ball (mathematics); Machining; End point; Engineering drawing; Engineering; Geometry; Geology; Art; Mechanical engineering; Mathematics","score_opus":0.016594459448858526,"score_gpt":0.23663731027566468,"score_spread":0.22004285082680614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049088663","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0744112,0.00046591728,0.92342365,0.0001388116,0.00027451664,0.00021207488,0.0001865144,0.00078754546,0.00009975782],"genre_scores_gemma":[0.37377864,0.00018188363,0.6252259,0.00011530888,0.00035212463,0.000004828827,0.00025217226,0.00006789893,0.000021261105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981311,0.000029917566,0.0005170508,0.00063024194,0.00018427391,0.0005073958],"domain_scores_gemma":[0.99838555,0.00030996528,0.00010378431,0.0009850245,0.00003898786,0.00017670107],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017311299,0.0004389587,0.0005432574,0.000094723684,0.00016129791,0.00019271858,0.00082634785,0.00014397877,0.000025216425],"category_scores_gemma":[0.000024270097,0.00041061637,0.000090964095,0.00010079065,0.000045118835,0.00039053135,0.0005525016,0.0004005015,0.0000068209224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000119683145,0.000027022279,0.000078611745,0.000042188374,0.00019110704,0.00001270609,0.00010620639,0.71749,0.00069419364,0.000073399686,0.001134893,0.28013766],"study_design_scores_gemma":[0.000443633,0.000053496693,0.00017646118,0.0001333593,0.00009198828,0.000010376107,0.000028981887,0.9701266,0.018254621,0.0008220332,0.009364628,0.0004938155],"about_ca_topic_score_codex":0.000080831116,"about_ca_topic_score_gemma":0.00009162143,"teacher_disagreement_score":0.29936743,"about_ca_system_score_codex":0.000107507716,"about_ca_system_score_gemma":0.000011943724,"threshold_uncertainty_score":0.9998346},"labels":[],"label_agreement":null},{"id":"W2049190424","doi":"10.1145/1629255.1629300","title":"Extending the A-patch single sheet conditions to enable the tessellation of algebraics","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Subdivision; Simplex; Convergence (economics); Algebraic surface; Surface (topology); Tetrahedron; Representation (politics); Subdivision surface; Mathematics; Computer science; Gravitational singularity; Process (computing); Algebraic number; Algorithm; Topology (electrical circuits); Geometry; Mathematical analysis; Polygon mesh; Combinatorics; Engineering","score_opus":0.009295215180323804,"score_gpt":0.24405562313082788,"score_spread":0.23476040795050407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049190424","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07989948,0.00017874214,0.87190294,0.0029656927,0.000050888026,0.00034565883,0.000006301453,0.00073414453,0.04391615],"genre_scores_gemma":[0.9919419,0.000020072757,0.0074500763,0.00032501243,0.000031025626,0.000009580088,0.000004428137,0.0000086230275,0.00020924922],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995199,0.000012603255,0.00015983667,0.00007583207,0.00010781889,0.00012402845],"domain_scores_gemma":[0.9995809,0.00011077514,0.000023033203,0.00022288894,0.000036764333,0.000025610332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000086484135,0.00007294725,0.00009633247,0.0000420029,0.000077846475,0.00001699906,0.00014570229,0.000024119516,0.0001198076],"category_scores_gemma":[0.00004033497,0.000041078107,0.000044848843,0.00044567292,0.000022238824,0.00008652261,0.000014020454,0.0000710723,0.0000136224],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004765058,0.00010453778,0.00030793995,0.00001540091,0.00006808545,0.0000012931994,0.0005968736,0.32743114,0.543686,0.056007106,0.022127818,0.049649063],"study_design_scores_gemma":[0.00010470327,0.00016868644,0.0034247625,0.000038390637,0.00007300035,0.000005172303,0.0004022127,0.10117082,0.7529556,0.11443725,0.026881598,0.00033779358],"about_ca_topic_score_codex":0.00001334485,"about_ca_topic_score_gemma":0.000010057114,"teacher_disagreement_score":0.91204244,"about_ca_system_score_codex":0.000031420288,"about_ca_system_score_gemma":0.000002279883,"threshold_uncertainty_score":0.16751166},"labels":[],"label_agreement":null},{"id":"W2049309186","doi":"10.1137/070689607","title":"An Adaptive Multilevel Wavelet Solver for Elliptic Equations on an Optimal Spherical Geodesic Grid","year":2008,"lang":"en","type":"article","venue":"SIAM Journal on Scientific Computing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Geodesic; Solver; Wavelet; Grid; Applied mathematics; Mathematical analysis; Interpolation (computer graphics); Curvature; Geometry; Mathematical optimization; Computer science","score_opus":0.05077187457571527,"score_gpt":0.30570737211940135,"score_spread":0.2549354975436861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049309186","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25779825,0.000025186997,0.74101776,0.00002250119,0.00058022083,0.00015978652,0.000011043829,0.0002693461,0.00011586923],"genre_scores_gemma":[0.7535738,0.0000038424396,0.2457837,0.000056861252,0.00044919664,0.0000043840155,0.000017081877,0.000041233365,0.0000699483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977936,0.00008178402,0.0005351086,0.0004687505,0.000553096,0.0005676374],"domain_scores_gemma":[0.99854505,0.0003375475,0.00015923253,0.00037394385,0.00024137856,0.00034282007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068987906,0.00026731344,0.00033335653,0.0002662151,0.000988072,0.00021239911,0.00042241477,0.00007602895,0.000057855403],"category_scores_gemma":[0.00012277346,0.00024065484,0.00020729724,0.00050638954,0.00016935907,0.00042389848,0.00003246239,0.0005372671,0.000046004105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050869552,0.00021074194,0.000013885565,0.000005324346,0.000036379493,0.000026523658,0.00040097832,0.9435673,0.0057756887,0.00025966528,0.00081705407,0.048835635],"study_design_scores_gemma":[0.000292,0.0005655815,0.00028122592,0.00004994487,0.000019919233,0.00004863607,0.000100459874,0.99112207,0.0052493145,0.0002996761,0.0016684576,0.0003027426],"about_ca_topic_score_codex":0.0000014956254,"about_ca_topic_score_gemma":0.0000012377649,"teacher_disagreement_score":0.4957755,"about_ca_system_score_codex":0.00026385536,"about_ca_system_score_gemma":0.00005308057,"threshold_uncertainty_score":0.9813619},"labels":[],"label_agreement":null},{"id":"W2049971019","doi":"10.1007/s00041-010-9147-0","title":"Small Support Spline Riesz Wavelets in Low Dimensions","year":2010,"lang":"en","type":"article","venue":"Journal of Fourier Analysis and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Wavelet; Mathematics; Bivariate analysis; Univariate; Spline (mechanical); Riesz transform; Riesz representation theorem; Riesz potential; Basis (linear algebra); M. Riesz extension theorem; B-spline; Pure mathematics; Mathematical analysis; Multivariate statistics; Geometry; Statistics; Artificial intelligence; Computer science","score_opus":0.005676743385625603,"score_gpt":0.23696699072998142,"score_spread":0.23129024734435583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049971019","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30892158,0.00013175733,0.6897216,0.0003199185,0.000023781246,0.00010350529,0.000009878803,0.000050626237,0.00071735366],"genre_scores_gemma":[0.9508183,0.00033379308,0.048587203,0.000048021353,0.00009841874,0.000020947342,0.000008163436,0.000012791563,0.00007236373],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990623,0.0000099689705,0.00052891497,0.00011637662,0.00013693506,0.00014547982],"domain_scores_gemma":[0.9992935,0.00006261603,0.00014145316,0.00023939986,0.00012124759,0.00014175456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022980254,0.00011493396,0.00037779124,0.00051415554,0.000053092073,0.000024483857,0.0001444198,0.000065529246,0.00009850118],"category_scores_gemma":[0.000024028093,0.000095717434,0.00020403479,0.0012538986,0.000054530727,0.00010007748,0.000023718869,0.00038828992,0.000004140291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058959646,0.0018125298,0.14206421,0.00018797822,0.0073962887,0.0001475442,0.00086943904,0.11962598,0.27054593,0.017505826,0.0030079412,0.43677735],"study_design_scores_gemma":[0.0021989045,0.00030954354,0.20655434,0.00009666336,0.009651967,0.0002930567,0.00043227855,0.3715204,0.05569527,0.049603052,0.30139464,0.0022498635],"about_ca_topic_score_codex":0.0000089368095,"about_ca_topic_score_gemma":0.00021422365,"teacher_disagreement_score":0.6418967,"about_ca_system_score_codex":0.000018880846,"about_ca_system_score_gemma":0.000013567511,"threshold_uncertainty_score":0.39032438},"labels":[],"label_agreement":null},{"id":"W2050276016","doi":"10.1016/s0010-4485(02)00086-6","title":"A constrained guided G1 continuous spline curve","year":2003,"lang":"en","type":"article","venue":"Computer-Aided Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Conic section; Tangent; Mathematics; Boundary (topology); Spline (mechanical); Osculating circle; Geometry; Line segment; Mathematical analysis; Planar; Computer science; Engineering; Computer graphics (images)","score_opus":0.024149766638453293,"score_gpt":0.2483191987403098,"score_spread":0.22416943210185653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050276016","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026283762,0.0002912411,0.99195683,0.000034607077,0.00021187127,0.00034410626,0.000003780345,0.0018452347,0.0026839816],"genre_scores_gemma":[0.4167078,0.000036614834,0.58275723,0.00017527453,0.00009426679,0.000035501333,0.000007986826,0.00005468676,0.00013064053],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99834836,0.00014321624,0.000516344,0.00035423826,0.00019195276,0.00044588323],"domain_scores_gemma":[0.9989122,0.00026609722,0.00007520505,0.00046671298,0.000108657005,0.00017111856],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031369634,0.00032926718,0.0005351732,0.00015368583,0.00006434704,0.000054545704,0.00027011754,0.00011742857,0.000119685625],"category_scores_gemma":[0.000102854385,0.00032457281,0.00015290313,0.0004824217,0.000091188565,0.00014288582,0.000034532368,0.00022181962,0.00010945155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006593562,0.00053021737,0.00071402657,0.00020687214,0.0009804106,0.00065246655,0.00038878724,0.5505855,0.06540609,0.02932562,0.14789262,0.20325142],"study_design_scores_gemma":[0.0018066479,0.00045746658,0.00018195849,0.00012784298,0.0001320057,0.00024409645,0.000025555813,0.76409936,0.15564802,0.027115334,0.048554145,0.0016075844],"about_ca_topic_score_codex":0.0000036959896,"about_ca_topic_score_gemma":6.255426e-7,"teacher_disagreement_score":0.41407943,"about_ca_system_score_codex":0.0000887565,"about_ca_system_score_gemma":0.00002560577,"threshold_uncertainty_score":0.9999206},"labels":[],"label_agreement":null},{"id":"W2050429600","doi":"10.1007/s11786-007-0010-x","title":"Pseudospectra of Matrix Polynomials that Are Expressed in Alternative Bases","year":2007,"lang":"en","type":"article","venue":"Mathematics in Computer Science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Toronto; Western University","funders":"","keywords":"Mathematics; Matrix polynomial; Polynomial matrix; Basis (linear algebra); Lagrange polynomial; Vandermonde matrix; Polynomial interpolation; Matrix (chemical analysis); Lebesgue integration; Interpolation (computer graphics); Matrix analysis; Scalar (mathematics); Polynomial; Pure mathematics; Algebra over a field; Mathematical analysis; Eigenvalues and eigenvectors; Linear interpolation; Geometry; Computer science","score_opus":0.020139587226489463,"score_gpt":0.2952151792826439,"score_spread":0.27507559205615445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050429600","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.307859,0.00004225273,0.69163615,0.000011804207,0.00005057448,0.00008623723,0.0000015735405,0.00007356543,0.00023884806],"genre_scores_gemma":[0.6371938,0.000016410877,0.36275262,0.000009768344,0.000014461364,0.000003413096,1.176462e-7,0.000006935849,0.0000024657925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988148,0.000008521058,0.00038473407,0.00019830803,0.00031884684,0.0002747935],"domain_scores_gemma":[0.99926186,0.00025819882,0.00010500518,0.00029506933,0.000033546603,0.00004630903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007384374,0.00011991623,0.00029303462,0.00043710216,0.000017688752,0.000023905679,0.0005365325,0.000029245157,0.0000072839207],"category_scores_gemma":[0.00004536993,0.00010976882,0.000036568275,0.0009718707,0.00016421135,0.00022694915,0.00011644107,0.000112316455,0.0000029068042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024848121,0.0012303004,0.025462601,0.0010335833,0.000049684524,0.00026722287,0.011028949,0.59559005,0.26622343,0.01819042,0.00020718903,0.080691725],"study_design_scores_gemma":[0.00012081763,0.000018405199,0.002202746,0.00019981487,0.0000021146736,0.0000031612167,0.000059788115,0.5669996,0.41187364,0.018357698,0.000010236438,0.00015192755],"about_ca_topic_score_codex":0.000013753596,"about_ca_topic_score_gemma":0.000021254895,"teacher_disagreement_score":0.3293348,"about_ca_system_score_codex":0.00012359752,"about_ca_system_score_gemma":0.000009748339,"threshold_uncertainty_score":0.44762427},"labels":[],"label_agreement":null},{"id":"W2051027418","doi":"10.1111/cgf.12442","title":"Blue‐Noise Remeshing with Farthest Point Optimization","year":2014,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Sampling (signal processing); Adaptive sampling; Computer science; Noise (video); Algorithm; Point (geometry); Mathematical optimization; Relaxation (psychology); Surface (topology); Simple (philosophy); Colors of noise; Mathematics; Noise reduction; Artificial intelligence; Computer vision; Statistics; Geometry","score_opus":0.004525259986432616,"score_gpt":0.1893805559800081,"score_spread":0.1848552959935755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051027418","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040432788,0.00004439906,0.994133,0.00020438901,0.00007277029,0.00009258949,0.0000010194019,0.0010179195,0.00039065274],"genre_scores_gemma":[0.71874315,0.000050142742,0.28061458,0.00042099034,0.00008246776,0.000010687363,0.000017821523,0.000051888557,0.000008263631],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991838,0.000020890455,0.00018523296,0.0002014462,0.00014797175,0.00026070207],"domain_scores_gemma":[0.99946123,0.00004288592,0.000041148072,0.0003190063,0.000057213834,0.000078498735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000094832125,0.00017244653,0.00019502993,0.00016273979,0.000071022194,0.000049241833,0.0001820233,0.00006162511,0.0000057297884],"category_scores_gemma":[0.0000069496314,0.00014778705,0.00007126005,0.00042692854,0.00004622213,0.00021581222,0.000051407504,0.00017449028,0.000006618261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042093297,0.000017058186,0.00089182524,0.000019407957,0.00004284215,0.0000024051137,0.00005281516,0.9750043,0.000064118714,0.010771303,0.0007708478,0.012358877],"study_design_scores_gemma":[0.00012843488,0.000087556604,0.00014923295,0.00003734217,0.000016828752,0.000006100587,0.000005863725,0.9895092,0.00095427927,0.0024483635,0.0064334115,0.00022336085],"about_ca_topic_score_codex":0.0000036520078,"about_ca_topic_score_gemma":0.000010662739,"teacher_disagreement_score":0.71469986,"about_ca_system_score_codex":0.000024412331,"about_ca_system_score_gemma":0.0000027402948,"threshold_uncertainty_score":0.6026581},"labels":[],"label_agreement":null},{"id":"W2051177427","doi":"10.1080/002075400411448","title":"Integrated tool positioning and tool path planning for five-axis machining of sculptured surfaces","year":2000,"lang":"en","type":"article","venue":"International Journal of Production Research","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Tool path; Path (computing); Motion planning; Cutting tool; Engineering drawing; Engineering; Computer science; Machine tool; Mechanical engineering; Artificial intelligence; Robot","score_opus":0.034634210511068346,"score_gpt":0.3713333059588349,"score_spread":0.33669909544776655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051177427","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.964505,0.0005418745,0.033644345,0.00067658135,0.00017410678,0.00014839141,0.000012778659,0.00004615774,0.0002507624],"genre_scores_gemma":[0.9681983,0.00021840364,0.031028403,0.000011221594,0.0002411901,0.000009306509,0.000010964735,0.000015671327,0.00026656274],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986679,0.000066616194,0.0004324511,0.0001305814,0.0005562586,0.00014620315],"domain_scores_gemma":[0.9985702,0.00014764647,0.00009393975,0.00007860947,0.0010742662,0.00003535838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009602797,0.00008508581,0.00017780077,0.00036802635,0.00007032682,0.000055867906,0.00020299852,0.00004443686,0.0000933969],"category_scores_gemma":[0.00048458218,0.000073877,0.00007013383,0.00025078683,0.00007424065,0.0003920291,0.000021438373,0.00035681837,0.0000012867602],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00091246516,0.0001449631,0.0026951577,0.00011760218,0.0007741364,0.000027882403,0.001776851,0.3158908,0.26563066,0.00047370515,0.006354333,0.40520146],"study_design_scores_gemma":[0.0028484443,0.0016230406,0.022617754,0.0031378232,0.000128084,0.0006931904,0.0025188401,0.26375479,0.6205415,0.02215988,0.058984324,0.0009922998],"about_ca_topic_score_codex":0.000017534127,"about_ca_topic_score_gemma":6.637265e-7,"teacher_disagreement_score":0.40420917,"about_ca_system_score_codex":0.00010991787,"about_ca_system_score_gemma":0.000027434136,"threshold_uncertainty_score":0.30126166},"labels":[],"label_agreement":null},{"id":"W2051543572","doi":"10.1016/j.cam.2012.01.024","title":"A further generalisation of the planar cubic Bézier spiral","year":2012,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bézier curve; Mathematics; Planar; Spiral (railway); Inflection point; Geometric design; Cubic surface; Geometry; Degree (music); Surface (topology); Mathematical analysis; Computer science; Computer graphics (images)","score_opus":0.012623319189846447,"score_gpt":0.23010449904336425,"score_spread":0.2174811798535178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051543572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5447312,0.00017360368,0.45425698,0.00007804657,0.00004050199,0.000052325522,0.000001923971,0.00001487519,0.0006505778],"genre_scores_gemma":[0.81803036,0.000008901696,0.18183653,0.000032446744,0.00007590416,0.0000011122318,5.7786826e-7,0.0000071835602,0.0000069825774],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99943143,0.0000048387,0.00029033876,0.000022056132,0.00018458386,0.00006676602],"domain_scores_gemma":[0.99965,0.00006345775,0.00016939055,0.000042440523,0.000042220498,0.000032498323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011757306,0.00006201023,0.00015028128,0.00004033562,0.00001877522,0.000005382311,0.00006393543,0.000023307684,0.000009620606],"category_scores_gemma":[0.0000072205007,0.00003843247,0.000051732957,0.00008948294,0.000030793355,0.00006735285,0.0000099482,0.00007686904,0.0000011136597],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022442924,0.00037408483,0.0013054145,0.00045507326,0.00042116278,8.053154e-7,0.0053684735,0.747092,0.048785403,0.17477515,0.0019064565,0.01949354],"study_design_scores_gemma":[0.000939045,0.00008295696,0.012268493,0.00017937343,0.0003247862,0.00018911077,0.0006939552,0.14112373,0.05252021,0.7884083,0.0028160296,0.00045402057],"about_ca_topic_score_codex":1.2255506e-7,"about_ca_topic_score_gemma":6.5986214e-8,"teacher_disagreement_score":0.61363316,"about_ca_system_score_codex":0.000013849222,"about_ca_system_score_gemma":0.00000513613,"threshold_uncertainty_score":0.15672307},"labels":[],"label_agreement":null},{"id":"W2051859441","doi":"10.1016/j.disc.2004.05.018","title":"On the order of the recurrence produced by the method of creative telescoping","year":2005,"lang":"en","type":"article","venue":"Discrete Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Telescoping series; Mathematics; Maple; Term (time); Order (exchange); Recurrence relation; Hypergeometric distribution; Algorithm; Algebra over a field; Combinatorics; Pure mathematics; Mathematical analysis; Botany","score_opus":0.013903059328247128,"score_gpt":0.2902473432465428,"score_spread":0.27634428391829563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051859441","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039322734,0.0002402699,0.95184594,0.001385383,0.000027161566,0.0006604194,0.000025121304,0.00010835122,0.006384623],"genre_scores_gemma":[0.8528885,0.000051459912,0.14668527,0.000085414074,0.000023127794,0.00006509161,0.0000014298529,0.000032906442,0.00016679846],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99918723,0.000071214454,0.000300786,0.00009725315,0.00022494516,0.000118599164],"domain_scores_gemma":[0.9986415,0.0005884147,0.00015393227,0.00053789903,0.00006523041,0.000013033948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003288471,0.00012489471,0.00022126806,0.00001780209,0.000054591077,0.0000075965245,0.00040983624,0.000029003662,0.000033362416],"category_scores_gemma":[0.0005834578,0.000051696516,0.00008570716,0.00038863884,0.000109965236,0.000040279443,0.00005776112,0.00017193209,0.0000029060693],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039549668,0.000676317,0.00012861913,0.0018806264,0.0012870331,6.076028e-7,0.034602087,0.10802207,0.3299961,0.38942534,0.022599021,0.111342624],"study_design_scores_gemma":[0.000060851744,0.00003076193,0.000017509275,0.0003319014,0.000073721436,0.0000011807099,0.00060422794,0.09425623,0.88050896,0.023224318,0.0007495584,0.00014081111],"about_ca_topic_score_codex":0.0000035262753,"about_ca_topic_score_gemma":0.0000017215178,"teacher_disagreement_score":0.8135658,"about_ca_system_score_codex":0.000025424162,"about_ca_system_score_gemma":0.00000728835,"threshold_uncertainty_score":0.21081227},"labels":[],"label_agreement":null},{"id":"W2051958060","doi":"10.1007/s10543-006-0075-y","title":"Some observations on local least squares","year":2006,"lang":"en","type":"article","venue":"BIT Numerical Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Waterloo","funders":"","keywords":"Least-squares function approximation; Mathematics; Generalized least squares; Residual sum of squares; Non-linear least squares; Total least squares; Explained sum of squares; Applied mathematics; Statistics; Mathematical optimization; Algorithm; Regression analysis","score_opus":0.016503751052845943,"score_gpt":0.23404344205685487,"score_spread":0.21753969100400894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051958060","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011059305,0.0001711975,0.9829825,0.0002533964,0.00006198126,0.00015154612,0.000011454722,0.0015020997,0.0038064762],"genre_scores_gemma":[0.87611806,0.000026527632,0.1229515,0.00017743187,0.00022346973,0.00006599455,0.000021438633,0.000076642056,0.00033890677],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882776,0.000012483875,0.00039937592,0.0001793693,0.00028407678,0.00029690927],"domain_scores_gemma":[0.99933004,0.00016155768,0.000053418855,0.00033834242,0.00003604001,0.000080620106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000047775902,0.00022438723,0.00032458236,0.00009097633,0.00006516856,0.000030255036,0.0001990108,0.00008538949,0.000055143573],"category_scores_gemma":[0.000044094428,0.00019461806,0.00012848635,0.0004434806,0.00007161419,0.000137758,0.000031107058,0.00018940933,0.00028733545],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013366958,0.0015087067,0.0004246236,0.00042920993,0.0001484408,0.00004289478,0.0001528492,0.35621274,0.012273194,0.5717882,0.03296204,0.024043763],"study_design_scores_gemma":[0.0002624812,0.00015392162,0.0014757084,0.00010953874,0.00007471405,0.000011202832,0.00010135859,0.6441278,0.01428485,0.31526282,0.023322355,0.00081326626],"about_ca_topic_score_codex":0.000015278702,"about_ca_topic_score_gemma":0.0000019058015,"teacher_disagreement_score":0.8650588,"about_ca_system_score_codex":0.000116021045,"about_ca_system_score_gemma":0.0000056040103,"threshold_uncertainty_score":0.79362935},"labels":[],"label_agreement":null},{"id":"W2052461502","doi":"10.1145/962437.962441","title":"Fast contouring of solutions to partial differential equations","year":2003,"lang":"en","type":"article","venue":"ACM Transactions on Mathematical Software","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Contouring; Rendering (computer graphics); Contour line; Partial differential equation; Mesh generation; Visualization; Computer science; T-vertices; Surface (topology); Algorithm; Mathematics; Finite element method; Mathematical analysis; Geometry; Computer graphics (images); Artificial intelligence; Physics","score_opus":0.023246715947330288,"score_gpt":0.25897788627865154,"score_spread":0.23573117033132124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052461502","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003413331,0.00001554994,0.9955023,0.000058498328,0.000052653842,0.00019830064,0.00003080509,0.0005770985,0.000151441],"genre_scores_gemma":[0.68429595,0.000005093695,0.3154489,0.00001592074,0.000011064935,0.00010871217,0.0000024534213,0.000026619444,0.00008527124],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989484,0.000029794766,0.00036364657,0.00016413716,0.00021646947,0.00027757077],"domain_scores_gemma":[0.9989471,0.00038345525,0.000027395481,0.00044325375,0.000050466748,0.00014832028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006260385,0.00016322426,0.00028367122,0.00012843317,0.00012206824,0.000014597099,0.00018556815,0.000074496864,0.0008517455],"category_scores_gemma":[0.0003970215,0.00015415343,0.00016472035,0.00035313243,0.00004931848,0.00008805065,0.0000055743353,0.00017920807,0.00011257491],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004175197,0.0019326436,0.000039389448,0.0005320141,0.00069119444,0.0000070166725,0.0013022544,0.62336683,0.026069056,0.03202561,0.00014916935,0.3138431],"study_design_scores_gemma":[0.0012869545,0.00052748417,0.00019522788,0.0005306646,0.0007670139,0.000018928591,0.00046266962,0.04521394,0.36431125,0.5823677,0.0026085856,0.0017095313],"about_ca_topic_score_codex":0.0000021918347,"about_ca_topic_score_gemma":0.000004941217,"teacher_disagreement_score":0.68088263,"about_ca_system_score_codex":0.00006197016,"about_ca_system_score_gemma":0.000008823618,"threshold_uncertainty_score":0.9326016},"labels":[],"label_agreement":null},{"id":"W2053677474","doi":"10.1007/s00170-014-6636-3","title":"Numeric implementation of drop and tilt method of 5-axis tool positioning for machining of triangulated surfaces","year":2015,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tool path; Machining; Position (finance); Cutter location; Surface (topology); Computer science; Nonlinear system; End mill; Geometry; Algorithm; Engineering drawing; Mechanical engineering; Mathematics; Engineering; Physics","score_opus":0.011301717306042357,"score_gpt":0.3204636546698933,"score_spread":0.30916193736385095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053677474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65794307,0.0002510763,0.34139058,0.0001923491,0.000076478645,0.00008779607,0.00001144155,0.000034218105,0.000012965341],"genre_scores_gemma":[0.7736525,0.00010490286,0.22620028,0.0000060675493,0.000013680557,0.000004449271,0.00000290274,0.0000121794255,0.000003032263],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988949,0.000022643198,0.00067045935,0.000081386905,0.00022787643,0.0001027609],"domain_scores_gemma":[0.9986694,0.00018886518,0.0006734301,0.00011544222,0.00033186324,0.000021029364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037358506,0.00010498239,0.0003450083,0.00038714416,0.000016861643,0.0000052082696,0.00035655338,0.000055842833,0.0000072333046],"category_scores_gemma":[0.0001054041,0.00008283381,0.00008305406,0.00013823187,0.00007728101,0.0001799705,0.00007064016,0.00014241553,8.093857e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002647222,0.00003004075,0.0004570525,0.0000503791,0.00056192017,0.000003138008,0.0003992666,0.14768326,0.55787885,0.0010646388,0.000024434634,0.2915823],"study_design_scores_gemma":[0.00078272156,0.00021321609,0.0004986529,0.00006577735,0.0000571947,0.00005636292,0.0008230092,0.0042831204,0.9693615,0.023641268,0.00014517999,0.00007200802],"about_ca_topic_score_codex":0.000021162703,"about_ca_topic_score_gemma":0.000004494081,"teacher_disagreement_score":0.41148263,"about_ca_system_score_codex":0.000068937465,"about_ca_system_score_gemma":0.000018583489,"threshold_uncertainty_score":0.3377865},"labels":[],"label_agreement":null},{"id":"W2054158091","doi":"10.1145/1048687.1048689","title":"A study of level-of-detail in haptic rendering","year":2005,"lang":"en","type":"article","venue":"ACM Transactions on Applied Perception","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Haptic technology; Computer science; Rendering (computer graphics); Subdivision; Stereotaxy; Computer graphics (images); Computer vision; Artificial intelligence; Engineering","score_opus":0.06284824979407523,"score_gpt":0.292949577765728,"score_spread":0.23010132797165278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054158091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5192807,0.0000050097806,0.48001266,0.000012513703,0.000009837941,0.00016143608,0.0000028191523,0.00012686806,0.00038816093],"genre_scores_gemma":[0.9702433,0.000056600522,0.029548734,0.000006852592,0.000010564601,0.000088934765,0.000001926512,0.00002210468,0.000021024796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992124,0.000012336542,0.00034638873,0.00015282932,0.00015595419,0.00012012461],"domain_scores_gemma":[0.999557,0.00003335109,0.00003621541,0.00033149507,0.000015901678,0.000025993135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007254886,0.00011931398,0.00022628625,0.00027319073,0.000023698833,0.0000031739767,0.00013665804,0.000059128957,0.00016000507],"category_scores_gemma":[0.0000032104035,0.00012693816,0.00005389529,0.00040743328,0.00002270991,0.00008656215,0.0000030300898,0.0001876871,0.00001717767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031080777,0.00050082954,0.00006733999,0.000026518297,0.00003841026,3.729174e-7,0.0022349765,0.40249726,0.22196609,0.0000139932135,0.0000037288335,0.3726194],"study_design_scores_gemma":[0.010442238,0.0026596698,0.15682893,0.00050544913,0.0009698071,0.00002108918,0.055069868,0.3419286,0.42080018,0.0062120226,0.0011880808,0.003374064],"about_ca_topic_score_codex":0.000034912642,"about_ca_topic_score_gemma":0.0003464197,"teacher_disagreement_score":0.45096254,"about_ca_system_score_codex":0.00011219576,"about_ca_system_score_gemma":0.0000031356972,"threshold_uncertainty_score":0.5176388},"labels":[],"label_agreement":null},{"id":"W2054255883","doi":"10.1142/s0219467805001859","title":"SCCI-HYBRID METHODS FOR 2D CURVE TRACING","year":2005,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Continuation; Iterated function; Function (biology); Mathematics; Interval (graph theory); Interval arithmetic; Curve fitting; Jacobian curve; Tripling-oriented Doche–Icart–Kohel curve; Subdivision; Computation; Applied mathematics; Computer science; Algorithm; Mathematical optimization; Mathematical analysis; Elliptic curve; Statistics; Combinatorics","score_opus":0.011940384537903704,"score_gpt":0.35234242354527207,"score_spread":0.3404020390073684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054255883","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015609434,0.0011286319,0.9822292,0.00060267176,0.00014079665,0.000033403805,0.000007635781,0.00003568973,0.0002125478],"genre_scores_gemma":[0.44098255,0.0011204258,0.55734706,0.00019066966,0.00032372875,0.000002593848,0.0000024626422,0.00001399246,0.000016523261],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993806,0.000017503102,0.00031308303,0.00006137878,0.00013769764,0.000089768866],"domain_scores_gemma":[0.99931586,0.00016370599,0.00010199582,0.00004733675,0.00031659566,0.000054530723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032913228,0.00008088959,0.00015676212,0.00022714135,0.000022968421,0.000044001532,0.0001652193,0.00002503787,0.000012006141],"category_scores_gemma":[0.00011450549,0.00007196893,0.00014350862,0.0000763558,0.000034660665,0.00039429087,0.000015035992,0.00016378681,5.611122e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006181003,0.00006655645,0.0003800765,0.000028566756,0.00059933326,0.000031333402,0.00018013657,0.0026298687,0.04704846,0.0025392717,0.002665098,0.9437695],"study_design_scores_gemma":[0.0016352783,0.00025711063,0.0012162338,0.00021611228,0.00024264576,0.00089886604,0.00010057027,0.22722028,0.43027648,0.10189575,0.2354124,0.00062826823],"about_ca_topic_score_codex":0.0000012167874,"about_ca_topic_score_gemma":0.0000015034864,"teacher_disagreement_score":0.9431412,"about_ca_system_score_codex":0.000027672126,"about_ca_system_score_gemma":0.0000062196864,"threshold_uncertainty_score":0.29348078},"labels":[],"label_agreement":null},{"id":"W2057111506","doi":"10.1109/jstsp.2012.2232280","title":"Frenet-Serret and the Estimation of Curvature and Torsion","year":2012,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Signal Processing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Guelph","funders":"","keywords":"Torsion of a curve; Frenet–Serret formulas; Curvature; Torsion (gastropod); Tangent; Mathematical analysis; Mathematics; Differential geometry; Differential geometry of curves; Tangent vector; Plane curve; Center of curvature; Geometry; Differential equation; Mean curvature; Ordinary differential equation","score_opus":0.0066331859722816265,"score_gpt":0.2445145073914979,"score_spread":0.23788132141921628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057111506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79548997,0.009926379,0.19431527,0.00008167238,0.00004329207,0.000050012433,3.16097e-7,0.000020663334,0.00007242213],"genre_scores_gemma":[0.9811273,0.00026679668,0.01845746,0.000013559988,0.00012303691,8.043389e-7,2.921852e-7,0.000007218139,0.000003534767],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941224,0.000029877008,0.00028933,0.000038715054,0.00012743994,0.00010240779],"domain_scores_gemma":[0.99963295,0.00005751699,0.00014664402,0.00003178571,0.00009659273,0.000034518744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024109684,0.00007245511,0.0001939599,0.000089834124,0.00002826232,0.000015029505,0.000058057583,0.000057874506,0.0000021002315],"category_scores_gemma":[0.000049033817,0.000047903828,0.000018223496,0.00029977201,0.000057592304,0.0003282021,0.00000817852,0.00027481772,3.6067004e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023146169,0.00011997166,0.022234961,0.0007459866,0.00013681888,0.000006339867,0.0046492247,0.070835695,0.102651335,0.00044123776,0.00025058503,0.7976964],"study_design_scores_gemma":[0.0018688521,0.00018478134,0.020848334,0.0009974327,0.00022317986,0.00020967283,0.00018212204,0.7356469,0.22322993,0.01563388,0.0005850735,0.00038982276],"about_ca_topic_score_codex":0.0000022416264,"about_ca_topic_score_gemma":0.0000010770881,"teacher_disagreement_score":0.79730654,"about_ca_system_score_codex":0.00002540434,"about_ca_system_score_gemma":0.000010761461,"threshold_uncertainty_score":0.19534613},"labels":[],"label_agreement":null},{"id":"W2057817947","doi":"10.1007/s11081-013-9213-y","title":"An adaptive geometry parametrization for aerodynamic shape optimization","year":2013,"lang":"en","type":"article","venue":"Optimization and Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Mitacs; Canada Research Chairs","keywords":"Parametrization (atmospheric modeling); Mathematics; Airfoil; Shape optimization; Aerodynamics; Geometry; Mathematical optimization; Computer science; Applied mathematics; Physics; Finite element method","score_opus":0.00527573231310666,"score_gpt":0.20509726660380206,"score_spread":0.1998215342906954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057817947","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012359275,0.00008780794,0.9861922,0.000016843107,0.00006015068,0.00034281117,0.0000056277854,0.00087227,0.00006298391],"genre_scores_gemma":[0.48590764,0.00014904542,0.5136181,0.00001723036,0.000029434183,0.000118121374,0.00010825344,0.000043553875,0.000008641752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993018,0.000006940024,0.00021317578,0.00019606558,0.00008486986,0.00019715237],"domain_scores_gemma":[0.9995851,0.000047227568,0.0000321862,0.00013447543,0.00009890904,0.00010210073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005507395,0.00017029695,0.00017089066,0.000265655,0.00005557028,0.00007696378,0.00007472033,0.00009538963,0.00011708356],"category_scores_gemma":[0.00005018387,0.00018383986,0.00003373725,0.0005271556,0.000012727007,0.0006862399,0.000010844945,0.0000738389,0.000002584421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019823856,0.00000975225,0.00003421986,0.000023387323,0.000017771956,8.14398e-8,0.000016823271,0.9920691,0.0012543128,0.0001630419,0.000023915898,0.006385569],"study_design_scores_gemma":[0.00014433025,0.000057375135,0.00021474587,0.00001316441,0.000017593764,0.0000011854567,0.000020672956,0.99882877,0.00040270263,0.000029632187,0.000047006804,0.00022283962],"about_ca_topic_score_codex":0.000003981137,"about_ca_topic_score_gemma":3.6370955e-7,"teacher_disagreement_score":0.47354835,"about_ca_system_score_codex":0.000055798064,"about_ca_system_score_gemma":0.0000029279631,"threshold_uncertainty_score":0.7496772},"labels":[],"label_agreement":null},{"id":"W2058195144","doi":"10.1090/s0025-5718-03-01623-5","title":"Multivariate refinable Hermite interpolant","year":2003,"lang":"en","type":"article","venue":"Mathematics of Computation","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Hermite polynomials; Hermite interpolation; Mathematics; Subdivision; Spline (mechanical); Cubic Hermite spline; Pure mathematics; Applied mathematics; Bivariate analysis; Algebra over a field; Mathematical analysis; Polynomial; Bicubic interpolation","score_opus":0.010505775923304188,"score_gpt":0.25351200384559547,"score_spread":0.2430062279222913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058195144","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04180668,0.00004130233,0.95080024,0.0000038473654,0.000025852487,0.000063972475,9.3113294e-7,0.00020810743,0.007049082],"genre_scores_gemma":[0.68701893,0.000004749249,0.31291232,0.0000037246164,0.0000028602187,0.0000043581963,0.000002044599,0.000011930106,0.000039062492],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952036,0.000011806857,0.00023776761,0.000057970243,0.00008924898,0.0000828542],"domain_scores_gemma":[0.9997191,0.00006312157,0.000059932132,0.000094566036,0.000043427128,0.000019890793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009062622,0.00007376836,0.00015987785,0.00006408528,0.000012572094,0.0000070956717,0.000050051884,0.00002640287,0.000012617183],"category_scores_gemma":[0.000049895498,0.00006865123,0.000039086626,0.00014802086,0.000013123468,0.00006661306,0.000008021013,0.000047787962,0.0000137397265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008007567,0.0004710686,0.00013870138,0.0015172896,0.0002665792,0.000008635346,0.00308647,0.6681711,0.10343183,0.19169205,0.0009628478,0.030245386],"study_design_scores_gemma":[0.00010947596,0.000022891876,0.000046369092,0.000060037215,0.000017391094,0.0000036706642,0.000056587374,0.8430306,0.06460222,0.09143088,0.000504217,0.00011568899],"about_ca_topic_score_codex":0.0000020808063,"about_ca_topic_score_gemma":4.2336936e-7,"teacher_disagreement_score":0.6452123,"about_ca_system_score_codex":0.000025313564,"about_ca_system_score_gemma":0.0000027394813,"threshold_uncertainty_score":0.27995157},"labels":[],"label_agreement":null},{"id":"W2059081634","doi":"10.1007/s00022-007-1891-1","title":"On monotonicity of the hypersphere volume and area","year":2007,"lang":"en","type":"article","venue":"Journal of Geometry","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Hypersphere; Mathematics; Dimension (graph theory); Monotonic function; Constant (computer programming); Volume (thermodynamics); RADIUS; Surface (topology); Mathematical analysis; Geometry; Pure mathematics; Computer science","score_opus":0.004674467772345662,"score_gpt":0.21493281133371314,"score_spread":0.21025834356136747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059081634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94779384,0.00053832453,0.050450332,0.000053106945,0.00005461512,0.000023075207,9.1356003e-7,0.000015755413,0.0010700658],"genre_scores_gemma":[0.995873,0.0000895708,0.0039032216,0.00003876926,0.000028954271,1.237395e-7,3.8358856e-8,0.000007938851,0.00005839312],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9994495,0.0000068872323,0.00024339498,0.000038141618,0.0001696536,0.000092402064],"domain_scores_gemma":[0.9995987,0.00007823609,0.00011834623,0.000105458355,0.00005405526,0.00004523446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002180677,0.00006209316,0.000173915,0.00010147712,0.000016876253,0.000004235498,0.00012058274,0.000040751296,0.000033307042],"category_scores_gemma":[0.00010412803,0.00003926099,0.00009304698,0.00033948306,0.000035353256,0.00006151332,0.000019706991,0.0002237517,8.6730546e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038389978,0.00056878163,0.22611809,0.00031123584,0.0011834167,0.00012225383,0.0005686446,0.12598069,0.21725006,0.0015551634,0.014723505,0.41123426],"study_design_scores_gemma":[0.0013405831,0.0010721277,0.49926344,0.0004923395,0.00032058544,0.00031121762,0.0007461835,0.01725517,0.43962607,0.015635014,0.023231208,0.0007060648],"about_ca_topic_score_codex":0.000002348923,"about_ca_topic_score_gemma":0.0000015205467,"teacher_disagreement_score":0.41052818,"about_ca_system_score_codex":0.000045423392,"about_ca_system_score_gemma":0.000004084921,"threshold_uncertainty_score":0.16010167},"labels":[],"label_agreement":null},{"id":"W2059210098","doi":"10.1080/16864360.2014.902677","title":"Integration of CAD, FEA and Topology Optimization through a Unified Topological Model","year":2014,"lang":"en","type":"article","venue":"Computer-Aided Design and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"CAD; Topology (electrical circuits); Topology optimization; Finite element method; Computer science; Engineering; Engineering drawing; Structural engineering; Electrical engineering","score_opus":0.024951803075072367,"score_gpt":0.263198776152971,"score_spread":0.23824697307789863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059210098","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014548558,0.000085250096,0.9975797,0.00012272224,0.0000074499867,0.00023285154,0.0000017458269,0.00021166842,0.00030378127],"genre_scores_gemma":[0.4066493,0.00015637762,0.5930071,0.00007419852,0.00002114837,0.00006832238,0.000009036955,0.0000063944954,0.000008123424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994851,0.000033962508,0.00018789826,0.00016303704,0.000042105163,0.000087931345],"domain_scores_gemma":[0.99958134,0.00014923085,0.000040843588,0.00015050093,0.000041256724,0.000036808786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000067329194,0.00009613337,0.000176502,0.00004548596,0.000055282173,0.0000125220695,0.00007221887,0.000074614974,0.0000031440902],"category_scores_gemma":[0.000011009157,0.00008582563,0.000020457031,0.00015160925,0.000100275625,0.00008148148,0.00003033186,0.0000722545,7.001755e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035009866,0.000022246892,0.0000067270344,0.000012933835,0.000010159155,6.1120794e-8,0.000060998755,0.85870945,0.006129049,0.10317314,0.00012785108,0.03174386],"study_design_scores_gemma":[0.00008746355,0.000047029975,0.000030539588,0.0000052444343,0.000015160641,0.0000023250645,0.0000068945756,0.93916214,0.0029143333,0.057316273,0.00032992332,0.000082682694],"about_ca_topic_score_codex":0.000004920704,"about_ca_topic_score_gemma":7.216326e-7,"teacher_disagreement_score":0.40519443,"about_ca_system_score_codex":0.00001206777,"about_ca_system_score_gemma":0.0000033651725,"threshold_uncertainty_score":0.3499868},"labels":[],"label_agreement":null},{"id":"W2059906427","doi":"10.1007/s00028-006-0257-8","title":"Evolution equations for shapes and geometries","year":2006,"lang":"en","type":"article","venue":"Journal of Evolution Equations","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Mathematics; Lebesgue measure; Measure (data warehouse); Hausdorff distance; Euclidean space; Mathematical analysis; Lebesgue integration; Hausdorff measure; Hausdorff space; Domain (mathematical analysis); Space (punctuation); Function (biology); Boundary (topology); Metric (unit); Metric space; Zero (linguistics); Pure mathematics; Hausdorff dimension; Computer science","score_opus":0.01203246739196564,"score_gpt":0.2536485997212273,"score_spread":0.24161613232926163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059906427","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007969519,0.0014180846,0.9897699,0.0002823514,0.000084587424,0.00012056762,0.00001924779,0.000106904874,0.00022887986],"genre_scores_gemma":[0.9640387,0.000025267285,0.035554923,0.00000809789,0.00023917554,0.000019484232,0.000010232768,0.000014954374,0.00008915908],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906766,0.000015994256,0.0004956705,0.00007856307,0.00019332743,0.00014877261],"domain_scores_gemma":[0.9989273,0.00039907263,0.00018859755,0.00007034624,0.00036294147,0.000051772382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023687072,0.00010024611,0.0001853655,0.00050571526,0.00015505459,0.000030005114,0.00007669733,0.00006103383,0.000017537388],"category_scores_gemma":[0.0005443939,0.00009595823,0.00011480484,0.0005818844,0.000053677617,0.0005205457,0.000010130346,0.00010684622,0.0000036033957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025882135,0.00017021457,0.001298644,0.00006478075,0.00015559222,0.0000011464383,0.00008015372,0.5427497,0.06383656,0.3812551,0.0055511473,0.004811073],"study_design_scores_gemma":[0.0006104193,0.00020354748,0.013018041,0.00005630438,0.00025155913,0.000016870861,0.00014199574,0.62004256,0.0018452678,0.359393,0.0041217264,0.00029873475],"about_ca_topic_score_codex":0.000015312127,"about_ca_topic_score_gemma":0.000037420898,"teacher_disagreement_score":0.9560692,"about_ca_system_score_codex":0.00029602047,"about_ca_system_score_gemma":0.00003251412,"threshold_uncertainty_score":0.3913063},"labels":[],"label_agreement":null},{"id":"W2060496807","doi":"10.1145/1330511.1330515","title":"SOHO","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Basis (linear algebra); Orthogonal basis; Wavelet; Subdivision; Basis function; Haar; Partition (number theory); Haar wavelet; Representation (politics); Computer science; Partition of unity; Mathematics; Wavelet transform; Algorithm; Discrete wavelet transform; Mathematical analysis; Geometry; Artificial intelligence; Combinatorics; Physics","score_opus":0.019128139597199043,"score_gpt":0.23510474710918236,"score_spread":0.21597660751198333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060496807","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02034853,0.00008021038,0.9770946,0.00016445464,0.00007004413,0.00005660544,0.000006356413,0.0012560345,0.00092316256],"genre_scores_gemma":[0.98002034,0.0013777342,0.01824584,0.00018174411,0.000015057467,0.000029404622,0.0000023179336,0.000027542425,0.00010004224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994685,0.000008067771,0.00012733428,0.000117471536,0.00012880206,0.0001498261],"domain_scores_gemma":[0.99945444,0.00005505998,0.000009664551,0.00039889393,0.000022604603,0.000059357844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000023180888,0.00011101973,0.00011965061,0.00017516963,0.00012955762,0.0000041834232,0.00017410725,0.000066726796,0.00007051117],"category_scores_gemma":[0.000007446471,0.00011006058,0.000121762685,0.00058014377,0.00006753892,0.000096358344,0.0000012438179,0.00025423506,0.000046052694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010748473,0.0015782646,0.0022675542,0.0002112805,0.0017128111,0.00027531982,0.001673503,0.48390263,0.038967345,0.007407123,0.015021701,0.44687498],"study_design_scores_gemma":[0.002034274,0.0009134988,0.010126913,0.00014224628,0.00052352354,0.00039877972,0.0001954572,0.12227447,0.4463468,0.1624692,0.25046137,0.004113491],"about_ca_topic_score_codex":0.0000043637147,"about_ca_topic_score_gemma":0.00000905281,"teacher_disagreement_score":0.9596718,"about_ca_system_score_codex":0.000021486901,"about_ca_system_score_gemma":0.000003885349,"threshold_uncertainty_score":0.448814},"labels":[],"label_agreement":null},{"id":"W2060607727","doi":"10.1090/s0273-0979-01-00915-6","title":"Book Review: Gröbner deformations of hypergeometric\\linebreak[1] differential equations","year":2001,"lang":"en","type":"article","venue":"Bulletin of the American Mathematical Society","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mathematics; Hypergeometric distribution; Pure mathematics","score_opus":0.007529319146775476,"score_gpt":0.24120718706955876,"score_spread":0.23367786792278328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060607727","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0028871773,0.010151061,0.97948205,0.0036333613,0.000030689327,0.00040040337,0.000022870836,0.0002545616,0.003137799],"genre_scores_gemma":[0.6334913,0.08884874,0.2510344,0.018568218,0.00024871898,0.00047220002,0.000045421933,0.00025491315,0.0070360736],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986512,0.00004390704,0.0006298468,0.00011545038,0.00035341684,0.00020620017],"domain_scores_gemma":[0.9987158,0.00037065294,0.00028744596,0.0004666787,0.00009706983,0.00006234144],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014713529,0.00016174614,0.00056720816,0.0000380933,0.000058642076,0.000004965682,0.0003796497,0.00003464176,0.0019138515],"category_scores_gemma":[0.00038423715,0.00010742895,0.00059317215,0.0009325715,0.00036929405,0.00002903343,0.00011049119,0.00016634694,0.000039041843],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006363896,0.00044416438,0.000110326306,0.0014585784,0.0004103835,3.7133026e-7,0.00019029761,0.0033498723,0.0028438997,0.0016289552,0.98284155,0.0067152097],"study_design_scores_gemma":[0.00045854106,0.00017023606,0.0010196005,0.0015098375,0.0009682503,0.000023907505,0.00027077674,0.08628709,0.008137468,0.0072034816,0.8930849,0.0008659155],"about_ca_topic_score_codex":0.000014431197,"about_ca_topic_score_gemma":1.6083862e-7,"teacher_disagreement_score":0.7284477,"about_ca_system_score_codex":0.00004907613,"about_ca_system_score_gemma":0.0000074637123,"threshold_uncertainty_score":0.9989985},"labels":[],"label_agreement":null},{"id":"W2061158454","doi":"10.1016/j.cie.2009.01.003","title":"Automatic sequence of 3D point data for surface fitting using neural networks","year":2009,"lang":"en","type":"article","venue":"Computers & Industrial Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Science Foundation","keywords":"Artificial neural network; Sequence (biology); Algorithm; Data point; Point (geometry); Computer science; Segmentation; Reverse engineering; Surface (topology); Curve fitting; Artificial intelligence; Feature (linguistics); CAD; Pattern recognition (psychology); Mathematics; Geometry; Engineering; Engineering drawing; Machine learning","score_opus":0.07153026670539875,"score_gpt":0.28643583149181473,"score_spread":0.21490556478641598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061158454","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16588329,0.00015242076,0.8325755,0.000026551286,0.0004063988,0.00025912403,0.000020059666,0.0006719612,0.000004713992],"genre_scores_gemma":[0.7574543,0.0000059450163,0.24213003,0.000018526454,0.00031106337,0.00000217964,0.00004153196,0.0000355664,8.826609e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986166,0.000015132701,0.00053809496,0.00028548308,0.0001456364,0.00039907897],"domain_scores_gemma":[0.9989625,0.00023584037,0.00010250439,0.0005665116,0.0000398678,0.0000927569],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024825346,0.00025611385,0.00046681333,0.000102425256,0.000042160686,0.000036878522,0.00057475624,0.00014858444,0.0000038782373],"category_scores_gemma":[0.00011553102,0.00028090941,0.000084893014,0.00046526364,0.000020224692,0.00037083845,0.00011683291,0.00032753768,3.045663e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003183984,0.0000074174336,0.000011196246,0.000026578477,0.000038217826,0.0000028885913,0.000015010406,0.9223127,0.006990335,0.000020656222,0.00012230684,0.07044952],"study_design_scores_gemma":[0.00029659728,0.000052857704,0.000010142991,0.00016702639,0.000047740836,0.000007970116,0.000004611784,0.997422,0.0015253415,0.000021115577,0.00017718127,0.0002674392],"about_ca_topic_score_codex":0.000007734199,"about_ca_topic_score_gemma":1.5975176e-7,"teacher_disagreement_score":0.591571,"about_ca_system_score_codex":0.00011848237,"about_ca_system_score_gemma":0.000012798988,"threshold_uncertainty_score":0.9999643},"labels":[],"label_agreement":null},{"id":"W2061783308","doi":"10.1109/iri.2014.7051914","title":"Towards ray optics formalization of optical imaging systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Soundness; Mathematical proof; Computer science; Pencil (optics); Geometrical optics; Optics; Lens (geology); Automated theorem proving; Physics; Algorithm; Programming language; Mathematics; Geometry","score_opus":0.004980877484717532,"score_gpt":0.2249594072771124,"score_spread":0.21997852979239485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061783308","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024613396,0.000052058098,0.9615734,0.00001670568,0.000048091548,0.000048668786,4.890546e-7,0.00043787982,0.03536134],"genre_scores_gemma":[0.9160967,0.000022090257,0.083768666,0.000012909065,0.000031885007,0.000006052101,0.000003913777,0.000014820684,0.000042952965],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947566,0.000007999823,0.00021505727,0.00006751355,0.00011601219,0.00011774524],"domain_scores_gemma":[0.9997239,0.000023347591,0.000022017184,0.00013954414,0.000052237006,0.000038930775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000095728414,0.00007377928,0.00015855295,0.000056682944,0.000011360958,0.000011591309,0.00007978748,0.000027166727,0.000012275194],"category_scores_gemma":[0.00003944977,0.00006234868,0.000038225735,0.00014756087,0.000021233578,0.00012522122,0.000019654955,0.000044820747,0.0000057673296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035048784,0.000029088813,0.00075778057,0.00025628135,0.000048413567,9.99496e-7,0.000054795364,0.7344792,0.02795364,0.18497083,0.00055316923,0.050892286],"study_design_scores_gemma":[0.000048934686,0.000010831238,0.00008674617,0.00001374779,0.000013697494,0.0000013723234,0.000018561703,0.96437603,0.0332343,0.00061644986,0.001494357,0.00008498747],"about_ca_topic_score_codex":0.000007267807,"about_ca_topic_score_gemma":3.4912546e-7,"teacher_disagreement_score":0.9136354,"about_ca_system_score_codex":0.000023213264,"about_ca_system_score_gemma":0.000001999302,"threshold_uncertainty_score":0.25425053},"labels":[],"label_agreement":null},{"id":"W2062190821","doi":"10.1145/1836845.1836849","title":"A framework for GPU accelerated needle insertion simulation using meshfree methods","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Finite element method; Meshfree methods; Brachytherapy; CUDA; Computational science; Parallel computing; Radiology; Engineering; Structural engineering; Radiation therapy; Medicine","score_opus":0.07511809933348329,"score_gpt":0.42834743253795055,"score_spread":0.35322933320446726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062190821","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08829083,0.000014479438,0.910173,0.000023566161,0.000121127436,0.00018185662,0.0000013129952,0.0009467043,0.00024709522],"genre_scores_gemma":[0.47504616,0.0000015394586,0.52481115,0.000036283403,0.00005110656,0.000016546901,0.0000035313703,0.000020260686,0.000013429891],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939674,0.000016471582,0.00020699966,0.00013949306,0.000070245835,0.0001700735],"domain_scores_gemma":[0.9993589,0.00026628614,0.000033248623,0.00020718698,0.00008392993,0.00005046971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015050887,0.00012041425,0.00016741977,0.00009794153,0.000056759112,0.000030907817,0.00009456383,0.00016309001,0.0001279445],"category_scores_gemma":[0.00026739866,0.000110344314,0.00007322345,0.00039839387,0.000015032926,0.00023322157,0.000017335722,0.00021703313,0.0000036568615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007816724,0.000013107403,0.000065856824,0.000013565939,0.000026715408,1.2326615e-7,0.000030734253,0.47005424,0.47537014,0.0023652639,0.00002790424,0.05202453],"study_design_scores_gemma":[0.000055717963,0.000011301494,0.00009145968,0.0000050812564,0.000019872363,3.3653848e-7,0.000008523689,0.8080045,0.15772298,0.0323646,0.001591139,0.00012448065],"about_ca_topic_score_codex":0.000014679655,"about_ca_topic_score_gemma":0.0000075021744,"teacher_disagreement_score":0.38675535,"about_ca_system_score_codex":0.00003639136,"about_ca_system_score_gemma":0.0000046796854,"threshold_uncertainty_score":0.44997105},"labels":[],"label_agreement":null},{"id":"W2062261721","doi":"10.1109/iccisci.2012.6297305","title":"Composite subdivisions for 3D quad-triangle meshes","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo","keywords":"Polygon mesh; Morphing; Subdivision surface; Subdivision; Rendering (computer graphics); Computer science; Computer graphics (images); Vertex (graph theory); Computer graphics; Volume mesh; Animation; Computer animation; Triangle mesh; Algorithm; Mesh generation; Theoretical computer science; Finite element method; Graph; Engineering","score_opus":0.014692304716987417,"score_gpt":0.26864537625695,"score_spread":0.2539530715399626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062261721","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00813967,0.000435444,0.98137766,0.00006629633,0.0000733639,0.00014069576,0.0000070222413,0.001072722,0.008687113],"genre_scores_gemma":[0.69159395,0.00002498841,0.30777246,0.00006293041,0.00008027738,0.000046738172,0.000011574736,0.000022429893,0.00038465628],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99944997,0.000006941732,0.00014547858,0.00007591393,0.000069914124,0.0002517697],"domain_scores_gemma":[0.9995982,0.000115975075,0.0000134501715,0.0001561768,0.000022403825,0.00009377469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007731612,0.00009745589,0.00017207162,0.00005590286,0.000044370423,0.000010101251,0.000087231834,0.00004018332,0.00013031092],"category_scores_gemma":[0.000024376039,0.00008023106,0.00009626188,0.00015433047,0.000014170204,0.00018603563,0.000020637926,0.000052401185,0.00006197791],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006598632,0.0009030088,0.03893147,0.0003565629,0.0010717525,0.0000033589001,0.0010675223,0.017075134,0.28069732,0.062235486,0.16656591,0.43102652],"study_design_scores_gemma":[0.00051618257,0.00008830895,0.0048046815,0.000026910266,0.00017445146,0.0000048140473,0.00008668489,0.14493741,0.2353194,0.0047773705,0.6083605,0.00090327],"about_ca_topic_score_codex":0.000006893242,"about_ca_topic_score_gemma":0.000003961715,"teacher_disagreement_score":0.6834543,"about_ca_system_score_codex":0.000030548938,"about_ca_system_score_gemma":0.000001198193,"threshold_uncertainty_score":0.3271728},"labels":[],"label_agreement":null},{"id":"W2062526178","doi":"10.4271/2013-01-2285","title":"New Methodology for Wind Tunnel Calibration Using Neural Networks - EGD Approach","year":2013,"lang":"en","type":"article","venue":"SAE International Journal of Aerospace","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Wind tunnel; Artificial neural network; Calibration; Computer science; Marine engineering; Engineering; Aerospace engineering; Environmental science; Automotive engineering; Artificial intelligence; Mathematics","score_opus":0.04228750363123825,"score_gpt":0.3106272883306471,"score_spread":0.2683397846994089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062526178","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04595494,0.00026283434,0.9525301,0.00045043952,0.0005565266,0.00011885563,0.0000018899779,0.000056162728,0.00006824569],"genre_scores_gemma":[0.49987528,0.00003335174,0.4992639,0.000100836376,0.000642309,0.0000026668636,0.0000055559444,0.000022544771,0.000053544692],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904925,0.000043516688,0.00040109965,0.00010563806,0.000228022,0.00017250319],"domain_scores_gemma":[0.9991345,0.00016329686,0.00021879328,0.00008516432,0.00029241212,0.000105850515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018701129,0.0001347498,0.00025654281,0.00013565586,0.000026878968,0.0000713318,0.00031660162,0.000087147026,0.000056446173],"category_scores_gemma":[0.00010483926,0.000118738026,0.00017097028,0.00012647899,0.00002477066,0.00060120673,0.00003355986,0.00022584453,0.0000010345922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026126374,0.000015871265,0.00030236103,0.0000050896,0.00019070368,0.0000023972077,0.00007260567,0.9549335,0.029988993,0.00031328454,0.0038524913,0.0102965655],"study_design_scores_gemma":[0.00036751115,0.000062565225,0.00087565003,0.000017503417,0.000042446427,0.00010006266,0.00006562934,0.9911016,0.0030076168,0.0037187538,0.00050286186,0.00013776116],"about_ca_topic_score_codex":0.00004994773,"about_ca_topic_score_gemma":0.0000060702414,"teacher_disagreement_score":0.45392033,"about_ca_system_score_codex":0.00012482454,"about_ca_system_score_gemma":0.000019518568,"threshold_uncertainty_score":0.4841996},"labels":[],"label_agreement":null},{"id":"W2062694953","doi":"10.1016/j.laa.2015.02.001","title":"The Bézout matrix for Hermite interpolants","year":2015,"lang":"en","type":"article","venue":"Linear Algebra and its Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Ontario Tech University","funders":"","keywords":"Mathematics; Hermite polynomials; Hermite interpolation; Univariate; Matrix (chemical analysis); Simple (philosophy); Zero (linguistics); Pure mathematics; Matrix function; Symmetric matrix; Combinatorics; Statistics; Multivariate statistics","score_opus":0.016318353269422155,"score_gpt":0.2955397687853121,"score_spread":0.2792214155158899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062694953","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008220866,0.0036978964,0.984221,0.00063012546,0.000042247782,0.0007175743,0.0000388597,0.00063403597,0.001797404],"genre_scores_gemma":[0.97053313,0.00079755334,0.025204923,0.00012622734,0.00029245022,0.001225947,0.00003677389,0.000047760725,0.0017352253],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99960893,0.000004397899,0.00012503161,0.00009564971,0.000050745977,0.00011526994],"domain_scores_gemma":[0.99962735,0.00007892959,0.000018865716,0.00014936624,0.00005091619,0.000074561176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006210997,0.00007084903,0.00008140214,0.000020579992,0.000088469445,0.000021934757,0.00011137247,0.000031563184,0.0000019695542],"category_scores_gemma":[0.00002491707,0.000050358616,0.000030002904,0.0001222647,0.000022146358,0.000054721164,0.000024128338,0.000059987302,0.00003358747],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006387934,0.00015583845,0.00037465658,0.0002060451,0.00040151042,0.0000013726575,0.0008492384,0.0035646132,0.016867537,0.44064593,0.035927556,0.5009418],"study_design_scores_gemma":[0.00014981584,0.00002571429,0.00003956936,0.0000055377054,0.000028832046,0.0000035584228,0.00006722121,0.1892837,0.0053374446,0.018981906,0.7859267,0.00014997352],"about_ca_topic_score_codex":0.0000010694597,"about_ca_topic_score_gemma":0.000003067051,"teacher_disagreement_score":0.9623123,"about_ca_system_score_codex":0.0000136278895,"about_ca_system_score_gemma":0.0000046732757,"threshold_uncertainty_score":0.20535648},"labels":[],"label_agreement":null},{"id":"W2062734930","doi":"10.1007/s00371-011-0567-x","title":"Partition of unity parametrics: a framework for meta-modeling","year":2011,"lang":"en","type":"article","venue":"The Visual Computer","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Polygon mesh; Computer science; Rendering (computer graphics); Parametric equation; Parametric statistics; Partition (number theory); Partition of unity; Affine transformation; Tensor product; Simple (philosophy); Smoothness; Mathematics; Algorithm; Pure mathematics; Geometry; Artificial intelligence; Computer graphics (images); Mathematical analysis","score_opus":0.1479513466902935,"score_gpt":0.3279718330053401,"score_spread":0.1800204863150466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062734930","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053157322,0.00011410847,0.94626653,0.00001081405,0.00004780242,0.00012369169,0.0000028274496,0.00022380867,0.000053082415],"genre_scores_gemma":[0.69598794,0.000012642744,0.30384237,0.000047536432,0.00004607379,0.000047996193,0.0000017842061,0.000012271542,0.0000013880278],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994707,0.000027335835,0.0001991656,0.00008940177,0.0000846711,0.00012873411],"domain_scores_gemma":[0.9995109,0.00018539689,0.000037691225,0.00017908316,0.00005993581,0.000026983958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001740425,0.000095919604,0.00023173742,0.00007022892,0.000032572843,0.0000065902364,0.00014975536,0.000048738504,0.000031139236],"category_scores_gemma":[0.00003116662,0.00006250877,0.00015959452,0.00032575868,0.000027609876,0.000063007,0.00003587235,0.00011457239,0.000004639655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014139521,0.0005462726,0.0002717468,0.00034241378,0.0045078313,0.000002529825,0.002563233,0.772258,0.0009831699,0.099779725,0.0009602921,0.117643386],"study_design_scores_gemma":[0.000034089953,0.000090980946,0.000020037845,0.00000773018,0.00023797527,3.4686343e-7,0.000007643185,0.8910863,0.008426224,0.09985897,0.00014945913,0.00008023911],"about_ca_topic_score_codex":0.000010472715,"about_ca_topic_score_gemma":6.556976e-7,"teacher_disagreement_score":0.6428306,"about_ca_system_score_codex":0.000012576525,"about_ca_system_score_gemma":0.0000020506625,"threshold_uncertainty_score":0.25490335},"labels":[],"label_agreement":null},{"id":"W2062848417","doi":"10.1016/j.gmod.2011.03.004","title":"Smooth reverse Loop and Catmull–Clark subdivision","year":2011,"lang":"en","type":"article","venue":"Graphical Models","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Subdivision; Loop (graph theory); Computer science; Mathematics; Geography; Combinatorics; Archaeology","score_opus":0.02484550198119937,"score_gpt":0.21627967116709218,"score_spread":0.19143416918589282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062848417","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21882635,0.0005719534,0.7725204,0.000050642055,0.000046489244,0.00014559289,0.000006066521,0.0010086903,0.0068238038],"genre_scores_gemma":[0.9791367,0.00049556355,0.02017922,0.00009883627,0.000014510136,0.000016064016,0.0000029829423,0.00002804871,0.000028076274],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99921674,0.000017529417,0.0001837212,0.00022332596,0.00013223238,0.00022645429],"domain_scores_gemma":[0.9995331,0.000025041214,0.0000188245,0.00025150843,0.000026938413,0.00014458297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007454695,0.0001533214,0.00020852192,0.000115775125,0.000042506603,0.00000954812,0.00012108852,0.000115082126,0.000040762818],"category_scores_gemma":[0.000012243213,0.00013450957,0.0000782838,0.00031929236,0.0000910016,0.00021572731,0.000049336883,0.00021431701,0.000009726102],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028864105,0.00087369967,0.015101504,0.0005386422,0.00065231876,0.00032364557,0.0026466376,0.019649258,0.030701408,0.58354896,0.01055833,0.33511692],"study_design_scores_gemma":[0.00028013508,0.00008800227,0.0026107805,0.000044509656,0.00007317802,0.000007897468,0.00001961166,0.44451487,0.004221287,0.5452231,0.002347624,0.000569006],"about_ca_topic_score_codex":0.00004534859,"about_ca_topic_score_gemma":0.000005348434,"teacher_disagreement_score":0.76031035,"about_ca_system_score_codex":0.000014033396,"about_ca_system_score_gemma":0.000002093885,"threshold_uncertainty_score":0.54851407},"labels":[],"label_agreement":null},{"id":"W2063348611","doi":"10.1068/b12842","title":"Chain-Model Shape-Pattern Schemata","year":2002,"lang":"en","type":"article","venue":"Environment and Planning B Planning and Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université de Sherbrooke","funders":"","keywords":"Schema (genetic algorithms); Computer science; Representation (politics); Tree structure; Chain (unit); Tree (set theory); Chain code; Theoretical computer science; Artificial intelligence; Data structure; Mathematics; Machine learning; Programming language","score_opus":0.03778932337412651,"score_gpt":0.22446849770521507,"score_spread":0.18667917433108855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063348611","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.055566292,0.0068064025,0.9360183,0.00004380727,0.000019016235,0.00010143389,0.0000047028243,0.00037572053,0.001064339],"genre_scores_gemma":[0.9637058,0.000457786,0.035375364,0.00010337925,0.000049956972,0.000019340903,0.000008905365,0.000032199416,0.00024731457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991949,0.000018367473,0.00016428581,0.00024537527,0.00012703254,0.00025000726],"domain_scores_gemma":[0.99962246,0.00009803828,0.000030405443,0.00013692316,0.0000019853428,0.000110212786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115951836,0.00020525308,0.00021140107,0.0000782963,0.00011549566,0.000039509046,0.00007210451,0.0000826614,0.000066824774],"category_scores_gemma":[0.0000097997145,0.00019502924,0.000024307054,0.000045958725,0.00005209365,0.00011660432,0.00003719777,0.00018372881,0.00002010714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001470997,0.00003803578,0.018988153,0.00007723063,0.00010816597,0.00009985703,0.0023398898,0.90852267,0.0061422717,0.000030890336,0.010500893,0.053137258],"study_design_scores_gemma":[0.00014095334,0.00003987581,0.0006627783,0.00006771017,0.00002472808,0.000013165281,0.000054338463,0.9953739,0.0010323973,0.00021512872,0.0021009527,0.00027408454],"about_ca_topic_score_codex":9.832286e-7,"about_ca_topic_score_gemma":1.1086706e-8,"teacher_disagreement_score":0.90813947,"about_ca_system_score_codex":0.000017337854,"about_ca_system_score_gemma":7.890045e-7,"threshold_uncertainty_score":0.79530615},"labels":[],"label_agreement":null},{"id":"W2063502935","doi":"10.1115/1.2960490","title":"Geometric Modeling of Cutter/Workpiece Engagements in Three-Axis Milling Using Polyhedral Representations","year":2008,"lang":"en","type":"article","venue":"Journal of Computing and Information Science in Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Pratt and Whitney Canada","keywords":"Intersection (aeronautics); Machining; Milling cutter; Parametric statistics; Geometric modeling; Process (computing); Geometry; Plane (geometry); Robustness (evolution); Solid modeling; Geometric design; Mechanical engineering; Engineering; Engineering drawing; Computer science; Mathematics","score_opus":0.02404503575408654,"score_gpt":0.28158427042849754,"score_spread":0.257539234674411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063502935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5196732,0.000060702256,0.48014107,0.0000032170833,0.00005358006,0.000023051645,1.5310268e-7,0.00001483608,0.00003013885],"genre_scores_gemma":[0.92092997,0.00013051943,0.07891036,0.000005734587,0.000018372642,3.1109496e-7,2.2760098e-7,0.000004392013,1.0385662e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986022,0.000007062426,0.00081576576,0.00005730597,0.0003300131,0.00018763397],"domain_scores_gemma":[0.9994949,0.00007801842,0.00016768224,0.00007555675,0.00013334028,0.000050499224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007961436,0.00008537732,0.00021120443,0.002151683,0.000062137435,0.000027172488,0.00016948035,0.00002737337,7.585276e-7],"category_scores_gemma":[0.00026944705,0.00008522466,0.00003615727,0.0025853207,0.00004037136,0.002792784,0.00004639045,0.0002557757,1.7069839e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015029161,0.0000045331135,0.0073978575,0.000025539031,0.0000031784796,0.0000015361045,0.00084270805,0.9871006,0.0018003287,0.000015371856,3.374194e-7,0.0028064777],"study_design_scores_gemma":[0.00014805792,0.000017092483,0.0062946295,0.00016097275,0.0000028154004,0.000037873036,0.00014046236,0.9917725,0.0013096966,0.000034567012,0.0000037440298,0.00007760771],"about_ca_topic_score_codex":0.000020194837,"about_ca_topic_score_gemma":4.58691e-7,"teacher_disagreement_score":0.40125674,"about_ca_system_score_codex":0.0001192906,"about_ca_system_score_gemma":0.000024698194,"threshold_uncertainty_score":0.34753606},"labels":[],"label_agreement":null},{"id":"W2063694967","doi":"10.1142/s0219467805001732","title":"SHOCK FILTER-BASED DIFFUSION FIELDS — APPLICATION TO GRAYSCALE CHARACTER IMAGE PROCESSING","year":2005,"lang":"en","type":"article","venue":"International Journal of Image and Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Grayscale; Character (mathematics); Computer science; Artificial intelligence; Image processing; Computer vision; Anisotropic diffusion; Image (mathematics); Diffusion; Noise (video); Spurious relationship; Partial differential equation; Algorithm; Pattern recognition (psychology); Mathematics; Geometry; Mathematical analysis","score_opus":0.004887411021763783,"score_gpt":0.25875230632738855,"score_spread":0.2538648953056248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063694967","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17606878,0.00010673103,0.8211979,0.0023128884,0.00005297161,0.00004957164,0.0000056812196,0.000050202463,0.00015523698],"genre_scores_gemma":[0.9406599,0.00017516105,0.05810382,0.0007836488,0.00023542327,0.0000058086607,0.000006697482,0.000013705495,0.000015854734],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992534,0.000008505048,0.00030084926,0.00008841567,0.00025399379,0.000094870724],"domain_scores_gemma":[0.9994146,0.00003614555,0.00009897684,0.000071212366,0.0002992676,0.00007980013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008354594,0.00009851083,0.00013234811,0.00025512488,0.000029651841,0.000068655856,0.00019238763,0.000045793084,0.000019461215],"category_scores_gemma":[0.000033064556,0.000084777734,0.00008068713,0.00014317778,0.000028898368,0.00040755732,0.000025087369,0.00018551115,0.000004070955],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013105223,0.0002582689,0.0028865207,0.00007143101,0.00012876981,0.00005066861,0.0003956465,0.002936835,0.45193744,0.00021481181,0.0036269247,0.5373616],"study_design_scores_gemma":[0.0020565814,0.0004085273,0.027293708,0.0006299923,0.00016852019,0.0002608012,0.00010318602,0.4657558,0.35913065,0.0077144457,0.13536878,0.0011090105],"about_ca_topic_score_codex":0.0000028621328,"about_ca_topic_score_gemma":0.0000107113,"teacher_disagreement_score":0.7645911,"about_ca_system_score_codex":0.000038476064,"about_ca_system_score_gemma":0.000009676478,"threshold_uncertainty_score":0.3457136},"labels":[],"label_agreement":null},{"id":"W2064131725","doi":"10.1115/detc2009-87635","title":"An Object-Space Based Machining Simulation in Milling: Part 1 — By Natural Quadric and Flat Surfaces","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Torus; Quadric; Intersection (aeronautics); Machining; Parametric surface; Envelope (radar); Surface (topology); Geometry; Mathematics; Parametric equation; Mathematical analysis; Parametric statistics; Computer science; Engineering; Mechanical engineering; Pure mathematics","score_opus":0.006301760519121181,"score_gpt":0.2581135868499215,"score_spread":0.2518118263308003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064131725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8191878,0.0007650579,0.17878127,0.00008352601,0.000021068576,0.000085250445,0.000001208392,0.0006725732,0.00040223033],"genre_scores_gemma":[0.9828602,0.000034916426,0.016923435,0.00009806868,0.000011855118,0.0000021762664,0.000019866644,0.000012828617,0.000036658912],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993754,0.0000242739,0.00016279687,0.00017130275,0.00009779176,0.0001684436],"domain_scores_gemma":[0.9997128,0.00008402954,0.000020072173,0.00011828288,0.000012905799,0.000051858675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000081319384,0.00012791413,0.00016387679,0.000088888286,0.000029055187,0.000026485446,0.000058590816,0.000052544412,0.000017254453],"category_scores_gemma":[0.000020111105,0.00011527222,0.00002282943,0.00027087214,0.000011503977,0.0002413608,0.0000042354154,0.00014353893,0.0000016542342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000636441,0.000012557139,0.002735529,0.0000053520216,0.0000041563867,0.0000014667386,0.000058024216,0.95032674,0.03557736,0.000026181659,0.000083687795,0.0111625595],"study_design_scores_gemma":[0.00011171665,0.000044493318,0.0017196827,0.000010056729,0.0000049319506,1.8855604e-7,0.000021497302,0.9780211,0.019152422,0.00026150394,0.0004906151,0.00016180264],"about_ca_topic_score_codex":0.000027542745,"about_ca_topic_score_gemma":0.000036775895,"teacher_disagreement_score":0.16367237,"about_ca_system_score_codex":0.000037238668,"about_ca_system_score_gemma":0.0000020571072,"threshold_uncertainty_score":0.47006646},"labels":[],"label_agreement":null},{"id":"W2065901273","doi":"10.2514/1.15117","title":"Airfoil Shape Optimization Using a Nonuniform Rational B-Splines Parametrization Under Thickness Constraint","year":2006,"lang":"en","type":"article","venue":"AIAA Journal","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Airfoil; Transonic; Parametrization (atmospheric modeling); Aerodynamics; Mach number; Mathematics; Shape optimization; Solver; Mathematical optimization; Applied mathematics; Mathematical analysis; Mechanics; Physics; Structural engineering; Engineering; Finite element method","score_opus":0.013088995780415006,"score_gpt":0.24789210503871187,"score_spread":0.23480310925829687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065901273","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03680938,0.00012280738,0.96190256,0.00015157873,0.00012330028,0.00006575576,0.0000036483495,0.00021170608,0.0006092907],"genre_scores_gemma":[0.7756499,0.00006564083,0.2238329,0.00007641321,0.00029333672,0.0000033869003,0.000031585143,0.00002761275,0.00001922198],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99895877,0.000024783549,0.00042068385,0.00011761049,0.00027107834,0.00020706218],"domain_scores_gemma":[0.99945736,0.000056271423,0.00012183382,0.00009121176,0.00020908393,0.00006425101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015921773,0.00015365679,0.00017932002,0.00022705116,0.00017343777,0.00010647261,0.00010443871,0.000094621144,0.00030911772],"category_scores_gemma":[0.0000375743,0.00014256238,0.00008710101,0.00039198142,0.000056921217,0.00045444883,0.000015108723,0.0002559328,0.0000057516254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004012824,0.00002257311,0.00035923542,0.0000063806365,0.00002662691,0.0000045462293,0.000007993747,0.99061996,0.0031866773,0.0022018584,0.00008094689,0.003479187],"study_design_scores_gemma":[0.00021182948,0.0000153611,0.00036647255,0.000028472905,0.00003686659,0.00020354183,0.000031857206,0.98945516,0.0017359945,0.00752299,0.00020864392,0.00018281877],"about_ca_topic_score_codex":0.000008689552,"about_ca_topic_score_gemma":0.0000046133423,"teacher_disagreement_score":0.7388405,"about_ca_system_score_codex":0.00018774312,"about_ca_system_score_gemma":0.00004101038,"threshold_uncertainty_score":0.58135253},"labels":[],"label_agreement":null},{"id":"W2067197858","doi":"10.1145/2508363.2508388","title":"PolyCut","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Networks of Centres of Excellence of Canada; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Mitacs","keywords":"Base (topology); Computation; Computer science; Graph; Polyhedron; Packing problems; Unary operation; Algorithm; Mathematical optimization; Mathematics; Theoretical computer science; Discrete mathematics; Combinatorics","score_opus":0.009130069048395553,"score_gpt":0.2226307038066004,"score_spread":0.21350063475820485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067197858","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0125884,0.000067144116,0.9841653,0.0004875651,0.00008262522,0.00011618831,0.0000048630113,0.0012885163,0.0011993631],"genre_scores_gemma":[0.9780387,0.00033033916,0.021074122,0.00028974834,0.000014050992,0.00009361013,0.0000021393898,0.000029249048,0.00012798606],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994687,0.000008110876,0.00013052076,0.00011484667,0.00011159908,0.00016622507],"domain_scores_gemma":[0.99941427,0.000057467238,0.000009985798,0.00041905814,0.00002819658,0.000071047776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000020653766,0.00011450968,0.00011078802,0.00017610598,0.000067467125,0.000017863938,0.00019203064,0.00006901911,0.00033515724],"category_scores_gemma":[0.0000068365357,0.000108181914,0.00010667451,0.00051007175,0.00004067213,0.00016609127,0.0000014782516,0.00024030745,0.0002006637],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001402027,0.0004507942,0.0005078776,0.00009146672,0.0006590838,0.000009540953,0.0002798187,0.056966223,0.043066967,0.0041930377,0.009115482,0.8846457],"study_design_scores_gemma":[0.0011595449,0.0008129723,0.0077356054,0.00013334387,0.00041746232,0.000044282293,0.0003086855,0.14252152,0.33167166,0.39678353,0.11525547,0.003155922],"about_ca_topic_score_codex":0.000027947935,"about_ca_topic_score_gemma":0.000011269589,"teacher_disagreement_score":0.96545035,"about_ca_system_score_codex":0.00002007916,"about_ca_system_score_gemma":0.000002226781,"threshold_uncertainty_score":0.44115305},"labels":[],"label_agreement":null},{"id":"W2067641808","doi":"10.1021/ie060359h","title":"An Algorithm to Calculate K- and L-Points","year":2006,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Algorithm; Computer science","score_opus":0.033873774711380554,"score_gpt":0.32475153883296454,"score_spread":0.290877764121584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067641808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96271884,0.00024770352,0.03285218,0.00020345997,0.00011468949,0.00041290768,0.000041395368,0.0019023909,0.0015064336],"genre_scores_gemma":[0.9924076,0.000015559086,0.006183561,0.000005137207,0.00095503085,0.00007729428,0.00003075451,0.000082066486,0.0002429864],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99840176,0.000018541836,0.00025412638,0.00032918618,0.0004071399,0.00058923516],"domain_scores_gemma":[0.99915767,0.00008804605,0.000010644441,0.00035147,0.00008600989,0.00030618245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004040004,0.00020209192,0.00023642957,0.00013892355,0.00006450557,0.000089726425,0.0002658094,0.00023280678,0.000050339415],"category_scores_gemma":[0.00011547035,0.00021922932,0.000040073923,0.00076467136,0.000047039674,0.00013041955,0.00008226278,0.00076646457,0.000016721377],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000051208485,0.000023211242,0.00007255079,0.000026525,0.00001962225,0.000026331429,0.000011525707,0.06110125,0.9165402,0.00002033521,0.0012265751,0.020926762],"study_design_scores_gemma":[0.000236559,0.0000342691,0.0001067361,0.0000420138,0.000006749582,0.0000111613235,0.000010927411,0.1509857,0.8315505,0.00016207474,0.016546955,0.00030634613],"about_ca_topic_score_codex":0.000091261616,"about_ca_topic_score_gemma":9.584925e-7,"teacher_disagreement_score":0.08988445,"about_ca_system_score_codex":0.0001797598,"about_ca_system_score_gemma":0.000016302327,"threshold_uncertainty_score":0.89399123},"labels":[],"label_agreement":null},{"id":"W2067822520","doi":"10.1016/s0377-0427(01)00385-5","title":"Planar G2 Hermite interpolation with some fair, C-shaped curves","year":2002,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Hermite polynomials; Osculating circle; Hermite interpolation; Arc length; Tangent; Asymptote; Interpolation (computer graphics); Curve fitting; Cubic Hermite spline; Conic section; Mathematical analysis; Geometry; Arc (geometry); Linear interpolation; Bicubic interpolation; Statistics","score_opus":0.010603203538079062,"score_gpt":0.21525699246043983,"score_spread":0.20465378892236077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067822520","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02440892,0.00082167896,0.9727986,0.00020031283,0.000015888712,0.0000844356,0.0000027436993,0.000080881255,0.0015865824],"genre_scores_gemma":[0.66674185,0.00022816632,0.33279896,0.00012779256,0.000056326186,0.0000028281645,0.000002698686,0.000015845892,0.000025535497],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999333,0.0000034285792,0.00032194727,0.00004943508,0.00021739336,0.00007477903],"domain_scores_gemma":[0.9995871,0.000107353284,0.00015811145,0.000040482562,0.00005595172,0.00005097835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006283408,0.00009924844,0.00022338158,0.00008195376,0.000027095884,0.000017858456,0.00006315024,0.000023868992,0.000024763569],"category_scores_gemma":[0.0000062537874,0.000072207054,0.000034509398,0.000103640494,0.000029109886,0.00014359254,0.0000071483005,0.00011896572,0.000004797889],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012831777,0.0012364147,0.00019405335,0.0046896124,0.0018290059,0.00009099284,0.0041138516,0.6141112,0.021319391,0.24922377,0.026973678,0.076089755],"study_design_scores_gemma":[0.00049430906,0.00012080437,0.00020838504,0.00044723344,0.00010313147,0.00020049063,0.00012367092,0.7747603,0.00058467034,0.22222348,0.0004791568,0.00025435243],"about_ca_topic_score_codex":6.158301e-8,"about_ca_topic_score_gemma":1.1173938e-7,"teacher_disagreement_score":0.6423329,"about_ca_system_score_codex":0.000015388556,"about_ca_system_score_gemma":0.0000028540908,"threshold_uncertainty_score":0.29445183},"labels":[],"label_agreement":null},{"id":"W2068019621","doi":"10.1109/gmap.2000.838247","title":"Optimization of knots for the multi curve B-spline approximation","year":2000,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Islamic Development Bank","keywords":"Knot (papermaking); Spline (mechanical); Curve fitting; Approximation error; Mathematics; B-spline; Mathematical optimization; Function (biology); Function approximation; Applied mathematics; Algorithm; Computer science; Mathematical analysis; Structural engineering; Engineering; Artificial neural network; Artificial intelligence","score_opus":0.013118402273256023,"score_gpt":0.25640808159928863,"score_spread":0.2432896793260326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068019621","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005348728,0.00007600149,0.9980675,0.000049131693,0.000008104951,0.00018796092,0.0000028222084,0.00022853349,0.00084504444],"genre_scores_gemma":[0.2645881,0.00015964216,0.7346228,0.00002224324,0.000019389865,0.00006347689,0.000019343675,0.0000141743585,0.0004908841],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997014,0.000003861146,0.00013472144,0.000053932537,0.00004599436,0.000060114977],"domain_scores_gemma":[0.9997796,0.000057155485,0.000015765509,0.000106636464,0.000030612617,0.000010250433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000047945006,0.00004970236,0.000076075026,0.000020517575,0.000019393936,0.0000038751655,0.000060964998,0.000023697696,0.00022917737],"category_scores_gemma":[0.000015745345,0.000032789914,0.000039775037,0.00013445642,0.000012917681,0.00007195555,0.0000034611396,0.000025340516,0.0000031202278],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028802692,0.000010960489,0.000007583529,0.0000099807785,0.000011185208,9.17335e-9,0.000015916816,0.9448243,0.00051233964,0.0001344431,0.00012306048,0.054347336],"study_design_scores_gemma":[0.000086466986,0.000008948266,0.000032492633,0.0000029411963,0.000012542736,1.18944904e-7,0.0000062067625,0.9822934,0.015608963,0.0001702334,0.001735346,0.000042298438],"about_ca_topic_score_codex":0.000005188467,"about_ca_topic_score_gemma":0.000002279768,"teacher_disagreement_score":0.2640532,"about_ca_system_score_codex":0.000011396347,"about_ca_system_score_gemma":0.0000010264433,"threshold_uncertainty_score":0.25093314},"labels":[],"label_agreement":null},{"id":"W2068291070","doi":"10.1117/12.650435","title":"Interpolation using cosine transforms generalized to Lie groups","year":2006,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University; Université de Montréal","funders":"","keywords":"Interpolation (computer graphics); Discrete cosine transform; Trigonometric interpolation; Mathematics; Lie group; Trigonometric functions; Generalization; Transform coding; Image (mathematics); Algorithm; Computer science; Algebra over a field; Artificial intelligence; Discrete mathematics; Applied mathematics; Pure mathematics; Nearest-neighbor interpolation; Linear interpolation; Mathematical analysis; Pattern recognition (psychology)","score_opus":0.009836271290073124,"score_gpt":0.23438582870653743,"score_spread":0.22454955741646432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068291070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9861069,0.000094474985,0.0107035255,0.0006291055,0.00013471172,0.0005595267,0.00003853078,0.00036048272,0.0013727662],"genre_scores_gemma":[0.6246368,0.000044571872,0.37453967,0.00007142912,0.00040591645,0.00012346003,0.00001575098,0.00009575776,0.00006660674],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977761,1.0690261e-8,0.0008588925,0.00034488318,0.000579298,0.00044080755],"domain_scores_gemma":[0.99868244,0.00006444507,0.00019126697,0.00006386211,0.00087311544,0.00012487752],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031018438,0.00038162628,0.0005164424,0.00019205724,0.00007007082,0.000091998336,0.00068530417,0.00018529486,0.000014885141],"category_scores_gemma":[0.00012261263,0.00032700965,0.00064427406,0.0006413475,0.00011590195,0.00061670435,0.000084960615,0.00027274905,0.0000016395664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050426497,0.000063850544,0.00015212334,0.00023905965,0.00022633307,6.8070975e-8,0.00007578478,0.0063909856,0.81304723,0.17779627,0.0016007263,0.00035715883],"study_design_scores_gemma":[0.00089530594,0.00022976448,0.0004696841,0.0003710118,0.00022117677,0.000014243304,0.00030435345,0.46968958,0.51635456,0.006962937,0.0038250848,0.0006623069],"about_ca_topic_score_codex":0.000026078884,"about_ca_topic_score_gemma":6.0538315e-7,"teacher_disagreement_score":0.4632986,"about_ca_system_score_codex":0.00028399378,"about_ca_system_score_gemma":0.0000110943965,"threshold_uncertainty_score":0.9999182},"labels":[],"label_agreement":null},{"id":"W2068424476","doi":"10.1007/s11075-010-9385-x","title":"Polynomial algebra for Birkhoff interpolants","year":2010,"lang":"en","type":"article","venue":"Numerical Algorithms","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Mathematics; Birkhoff interpolation; Lagrange polynomial; Quadrature (astronomy); Hermite interpolation; Interpolation (computer graphics); Hermite polynomials; Polynomial interpolation; Rational function; Clenshaw–Curtis quadrature; Polynomial; Applied mathematics; Numerical integration; Theory of computation; Gauss–Jacobi quadrature; Gauss–Kronrod quadrature formula; Mathematical analysis; Linear interpolation; Gaussian quadrature; Nyström method; Frame (networking); Algorithm; Integral equation","score_opus":0.006695384604352538,"score_gpt":0.2500003093397013,"score_spread":0.24330492473534876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068424476","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015140204,0.0000740403,0.9798829,0.00021969929,0.00093546975,0.00030226196,0.00004913289,0.0017974898,0.0015988124],"genre_scores_gemma":[0.7205711,0.000014981442,0.27803174,0.00020862844,0.00069594424,0.00016288456,0.000027930482,0.00009072173,0.00019605053],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99874365,0.000010050207,0.000317898,0.00030094426,0.00017236693,0.0004550681],"domain_scores_gemma":[0.99926287,0.0001239163,0.00004005963,0.0003137861,0.000051212286,0.0002081451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000084767875,0.0002482545,0.00035635094,0.00010779634,0.000069178,0.000037633636,0.0003254203,0.00015709986,0.0001824023],"category_scores_gemma":[0.000087941036,0.0002221995,0.00020178469,0.00032284975,0.00007488053,0.00015884444,0.00005172652,0.0004351977,0.000109821085],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004472818,0.0001600562,0.00039293055,0.00004293359,0.00016317442,0.000011657568,0.000089238594,0.00032706241,0.10658257,0.00036090022,0.03438283,0.8574419],"study_design_scores_gemma":[0.000595115,0.00019777812,0.0006705251,0.0000125896,0.0000563588,0.00002835706,0.000019311312,0.46578512,0.069083735,0.0020222955,0.46071228,0.00081653835],"about_ca_topic_score_codex":0.000020176796,"about_ca_topic_score_gemma":0.0000045837555,"teacher_disagreement_score":0.8566254,"about_ca_system_score_codex":0.00004172927,"about_ca_system_score_gemma":0.00001125924,"threshold_uncertainty_score":0.90610325},"labels":[],"label_agreement":null},{"id":"W2069382953","doi":"10.1137/s0895479898342432","title":"Convergence of Subdivision Schemes Associated with Nonnegative Masks","year":2000,"lang":"en","type":"article","venue":"SIAM Journal on Matrix Analysis and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Subdivision; Mathematics; Convergence (economics); Sequence (biology); Combinatorics; Euclidean space; Applied mathematics; Matrix (chemical analysis); Discrete mathematics; Pure mathematics","score_opus":0.0040495328849278,"score_gpt":0.24540834543487222,"score_spread":0.24135881254994443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069382953","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41415578,0.00056346756,0.5833031,0.000084015206,0.000003981557,0.00015436656,0.000028520812,0.00013337997,0.0015733956],"genre_scores_gemma":[0.9945294,0.0011346033,0.004044908,0.000015355043,0.000021006499,0.000021926198,0.000014036202,0.00001204051,0.00020671867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919754,0.000024580957,0.00030814897,0.00013747907,0.0002038208,0.0001284065],"domain_scores_gemma":[0.99944353,0.000080682104,0.00012611423,0.00016168857,0.0000956602,0.000092338116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012125523,0.0001231476,0.00031917947,0.00023097992,0.00011198999,0.000024659856,0.00011506006,0.000044640314,0.00040622838],"category_scores_gemma":[0.000009726799,0.00009225106,0.00013818865,0.0015546466,0.00006425348,0.00009487047,0.0000069938237,0.00018457723,0.000009400558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017746631,0.0011993585,0.06375211,0.00011287504,0.01841803,0.000024734805,0.0005738574,0.5320824,0.020222021,0.020414755,0.0008016106,0.34222078],"study_design_scores_gemma":[0.0027553749,0.001329101,0.1307527,0.00049293827,0.015137616,0.000057431753,0.0007491691,0.6650146,0.09884798,0.030025382,0.051916037,0.00292166],"about_ca_topic_score_codex":0.0000036464612,"about_ca_topic_score_gemma":0.0000058733945,"teacher_disagreement_score":0.58037364,"about_ca_system_score_codex":0.00003445438,"about_ca_system_score_gemma":0.0000065750573,"threshold_uncertainty_score":0.44479162},"labels":[],"label_agreement":null},{"id":"W2070238826","doi":"10.1016/s0377-0427(00)00529-x","title":"Curvature extrema of planar parametric polynomial cubic curves","year":2001,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Maxima and minima; Curvature; Mathematics; Cubic function; Parametric statistics; Planar; Parametric equation; Polynomial; Cubic form; Geometry; Mathematical analysis; Computer science; Computer graphics (images); Statistics","score_opus":0.010487382077531518,"score_gpt":0.23394637306230068,"score_spread":0.22345899098476915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070238826","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21549189,0.002547419,0.7797794,0.00015424407,0.000040470557,0.00010361129,0.0000060727402,0.00005428538,0.0018226391],"genre_scores_gemma":[0.71823823,0.0006612077,0.28096086,0.000046962217,0.00006353174,0.000001501856,0.0000029427817,0.0000125719835,0.000012218495],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991291,0.000004446898,0.00047619233,0.00004937632,0.00025602308,0.00008484692],"domain_scores_gemma":[0.9993363,0.00023069845,0.0002435611,0.000052031395,0.0000812619,0.0000561418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000117199656,0.00010225459,0.00033615014,0.00016490703,0.000019293586,0.000008710213,0.00009417889,0.00004080961,0.000015116149],"category_scores_gemma":[0.000026071693,0.00008061996,0.00006895574,0.00032114924,0.000037747202,0.00006679492,0.000010470262,0.0001451373,0.0000013998057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012743972,0.0008681012,0.0005200707,0.0028822122,0.0010174708,0.000051110743,0.00070513826,0.8587328,0.011151536,0.04019709,0.024627654,0.05911935],"study_design_scores_gemma":[0.0020110782,0.0003723223,0.0035481085,0.0013672936,0.0006311614,0.001173527,0.0003580788,0.29001626,0.010341777,0.6797136,0.009509755,0.00095704163],"about_ca_topic_score_codex":1.92557e-7,"about_ca_topic_score_gemma":1.1278495e-7,"teacher_disagreement_score":0.63951653,"about_ca_system_score_codex":0.00001584522,"about_ca_system_score_gemma":0.00001054657,"threshold_uncertainty_score":0.32875866},"labels":[],"label_agreement":null},{"id":"W2071098221","doi":"10.1006/jmaa.2001.7782","title":"Stability Implies Convergence of Cascade Algorithms in Sobolev Space","year":2002,"lang":"en","type":"article","venue":"Journal of Mathematical Analysis and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Alberta","keywords":"Mathematics; Sobolev space; Cascade; Convergence (economics); Stability (learning theory); Hermite polynomials; Function (biology); Space (punctuation); Applied mathematics; Function space; Algorithm; Mathematical analysis; Computer science","score_opus":0.015570760343592624,"score_gpt":0.25481606229945064,"score_spread":0.23924530195585803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071098221","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1031219,0.0006180729,0.895531,0.00017691051,0.0000027514243,0.00007945826,0.000006059704,0.00002009648,0.00044377128],"genre_scores_gemma":[0.9543827,0.0006964208,0.044860967,0.0000060584107,0.000016979107,0.000015740534,5.3945e-7,0.0000061685646,0.000014385934],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989453,0.000018334084,0.0006611872,0.000090825066,0.00017655703,0.00010782545],"domain_scores_gemma":[0.99932325,0.00016499974,0.00016952389,0.00017597803,0.00008538314,0.00008089106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022173145,0.000093197195,0.0005024489,0.00021798653,0.000020716177,0.000009329007,0.0001279993,0.00004300354,0.00025614217],"category_scores_gemma":[0.000041127387,0.000071524686,0.00018716136,0.0010266185,0.00008878175,0.000089454115,0.000020598734,0.00014396227,0.0000036714348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057853107,0.00810064,0.114238426,0.003772356,0.01265021,0.00005237451,0.0076535405,0.10359255,0.20719853,0.19785365,0.0014710726,0.34335878],"study_design_scores_gemma":[0.00043510785,0.00010517314,0.011632616,0.00009256883,0.0022371493,0.00004025257,0.0009252617,0.7765065,0.054953843,0.15075013,0.0018061035,0.0005153139],"about_ca_topic_score_codex":0.0000036289412,"about_ca_topic_score_gemma":0.0000068086424,"teacher_disagreement_score":0.85126084,"about_ca_system_score_codex":0.000027723881,"about_ca_system_score_gemma":0.000002561059,"threshold_uncertainty_score":0.29166922},"labels":[],"label_agreement":null},{"id":"W2071429636","doi":"10.1007/s00170-013-5450-7","title":"A topological-free method for three-axis tool path planning for generalized radiused end milled cutting of a triangular mesh surface","year":2013,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Offset (computer science); Cutter location; Triangle mesh; Tool path; Minimum bounding box; Surface (topology); Machining; Topology (electrical circuits); Polygon mesh; Any-angle path planning; Computer science; Motion planning; Geometry; Algorithm; Mathematics; Engineering; Mechanical engineering; Computer vision; Combinatorics; Artificial intelligence","score_opus":0.01334029391651158,"score_gpt":0.28883668019769837,"score_spread":0.2754963862811868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071429636","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38602915,0.00044695725,0.61141056,0.0013296277,0.00017485258,0.00042447666,0.000017671355,0.00015293097,0.000013767336],"genre_scores_gemma":[0.39067075,0.00007114539,0.6089709,0.00006013814,0.00008196055,0.000086989705,0.000004264945,0.000031990272,0.000021917893],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99828714,0.000026079617,0.0008749079,0.00019931037,0.00029712403,0.00031544344],"domain_scores_gemma":[0.99780446,0.00081559946,0.0006024104,0.0003645701,0.00037103603,0.000041896103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004985061,0.00024094475,0.0006255565,0.00032106612,0.0000696352,0.000025515674,0.0014270308,0.00016473503,0.000033289554],"category_scores_gemma":[0.0008011871,0.00017054449,0.00033667096,0.00013694103,0.000103200706,0.0002238412,0.00016693235,0.00032647027,6.8649683e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005258185,0.00006627498,0.000051062867,0.00006579705,0.0010651292,0.000015090662,0.00012101204,0.2270551,0.6197401,0.006642542,0.0005594915,0.14409257],"study_design_scores_gemma":[0.0018600303,0.00021136543,0.000050505445,0.00006580455,0.00007392852,0.000056216046,0.0001117007,0.027534576,0.72138065,0.24637865,0.0021050374,0.00017156242],"about_ca_topic_score_codex":0.0000114769455,"about_ca_topic_score_gemma":0.000002221513,"teacher_disagreement_score":0.23973611,"about_ca_system_score_codex":0.00015389042,"about_ca_system_score_gemma":0.000018199626,"threshold_uncertainty_score":0.6954602},"labels":[],"label_agreement":null},{"id":"W2074434359","doi":"10.1115/1.1481362","title":"Trajectory Planning and Speed Control for a Two-Link Rigid Manipulator","year":2002,"lang":"en","type":"article","venue":"Journal of Mechanical Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Trajectory; Motion planning; Path (computing); Piecewise; Acceleration; Computer science; Control theory (sociology); Cartesian coordinate system; Mathematics; Robot; Control (management); Artificial intelligence; Geometry; Mathematical analysis; Physics; Classical mechanics","score_opus":0.042624455732626174,"score_gpt":0.27106173192348965,"score_spread":0.22843727619086346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074434359","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034728046,0.0013565595,0.9946237,0.00012657288,0.000094899675,0.00017122972,0.000002061526,0.00009932257,0.000052832667],"genre_scores_gemma":[0.87510884,0.000058469843,0.12440033,0.000114814255,0.000262683,0.000004734189,1.7998873e-7,0.00003205428,0.000017906028],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896884,0.000049628332,0.00047369016,0.00010766966,0.00018580149,0.00021438678],"domain_scores_gemma":[0.99915373,0.00038338243,0.00013423731,0.00009565497,0.000069329595,0.00016367206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003931152,0.00014900228,0.00042909366,0.00011442243,0.000038141417,0.000023952807,0.00013942797,0.0000831037,0.00004585401],"category_scores_gemma":[0.00014575006,0.0001225083,0.00016091416,0.00010382578,0.000016374277,0.00015152358,0.000007746121,0.00026196314,0.000003095288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006234684,0.00019786874,0.00006923028,0.00015227856,0.0009930995,0.00029286128,0.00019386264,0.27796072,0.6308128,0.003075478,0.009172204,0.07645612],"study_design_scores_gemma":[0.0019711852,0.00054466963,0.000031986943,0.000082891405,0.00018601237,0.00013991712,0.000015102415,0.94970155,0.035343632,0.010155803,0.0015840685,0.00024319428],"about_ca_topic_score_codex":3.5449872e-7,"about_ca_topic_score_gemma":1.200891e-7,"teacher_disagreement_score":0.87163603,"about_ca_system_score_codex":0.00005845907,"about_ca_system_score_gemma":0.0000042181746,"threshold_uncertainty_score":0.49957436},"labels":[],"label_agreement":null},{"id":"W2074953358","doi":"10.1016/j.advengsoft.2010.05.002","title":"Bezier-PARSEC: An optimized aerofoil parameterization for design","year":2010,"lang":"en","type":"article","venue":"Advances in Engineering Software","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":118,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Mennonite University; University of Manitoba","funders":"","keywords":"Airfoil; Parsec; Bézier curve; Convergence (economics); Aerodynamics; Computer science; Degrees of freedom (physics and chemistry); Mathematical optimization; Range (aeronautics); Applied mathematics; Algorithm; Mathematics; Geometry; Physics; Aerospace engineering; Mechanics; Engineering","score_opus":0.007858259523017996,"score_gpt":0.25062016894179245,"score_spread":0.24276190941877446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074953358","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011610114,0.00048102633,0.9851775,0.0000060931343,0.00040096295,0.00035280915,0.000012733364,0.001943452,0.000015302645],"genre_scores_gemma":[0.22149967,0.00024883062,0.7776573,0.000014976635,0.00007592958,0.000366179,0.0000429152,0.00008539156,0.000008815438],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988489,0.000011774766,0.000329194,0.00029734423,0.00012517998,0.00038756622],"domain_scores_gemma":[0.9991735,0.0002863027,0.000040390732,0.00034914844,0.000049609862,0.00010101058],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015487567,0.00026535077,0.0003276778,0.00019452862,0.000037583555,0.000029555753,0.00026675488,0.0001390024,0.000015745305],"category_scores_gemma":[0.00039248995,0.00028579056,0.00007365432,0.0003994953,0.00002941143,0.00087771245,0.000019923806,0.0003030686,0.000003136193],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013575943,0.000019970963,0.00011089174,0.00007849626,0.000010283329,0.0000021003902,0.0000377678,0.9496232,0.013198442,0.00015508098,0.00000994807,0.036740195],"study_design_scores_gemma":[0.00049861684,0.000094781346,0.00010787501,0.000052589014,0.000021400308,0.000004880484,0.000009359689,0.95849127,0.029349614,0.0022601085,0.008544611,0.00056491455],"about_ca_topic_score_codex":0.0000015590217,"about_ca_topic_score_gemma":0.0000074529835,"teacher_disagreement_score":0.20988955,"about_ca_system_score_codex":0.000055953686,"about_ca_system_score_gemma":0.0000075096473,"threshold_uncertainty_score":0.9999594},"labels":[],"label_agreement":null},{"id":"W2075321036","doi":"10.1007/s00170-013-5411-1","title":"A new approach to generating arc length parameterized NURBS tool paths for efficient three-axis machining of smooth, accurate sculptured surfaces","year":2013,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Machining; Cutter location; Parameterized complexity; Path (computing); CAD; Algorithm; Computer Aided Design; Surface (topology); Interpolation (computer graphics); Arc (geometry); Computer science; Tool path; Engineering drawing; Geometry; Engineering; Mathematics; Mechanical engineering; Artificial intelligence; Motion (physics)","score_opus":0.012406791795909245,"score_gpt":0.25561751657694687,"score_spread":0.2432107247810376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075321036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5039032,0.00009787364,0.49494043,0.0004539104,0.00014980807,0.00027288072,0.0000048242114,0.00012880345,0.00004826668],"genre_scores_gemma":[0.5988237,0.0000339925,0.40093493,0.000052008985,0.000060702736,0.00004454311,0.000002416246,0.000028307762,0.000019402725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998252,0.000021393744,0.0008066565,0.00022590552,0.00038398572,0.00031006505],"domain_scores_gemma":[0.9986281,0.00024197742,0.00046259887,0.00032520085,0.00027133652,0.000070819144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002742081,0.00025740475,0.00048894796,0.00045686096,0.00006584202,0.000054229156,0.0012389629,0.00011352748,0.00002476983],"category_scores_gemma":[0.00027422907,0.00018525397,0.00020278853,0.00020268286,0.00006707497,0.00021086338,0.00018063902,0.0004099227,0.000004676543],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006587242,0.000028907658,0.000008960549,0.000014287197,0.00020080626,0.0000015379084,0.00010686045,0.61682373,0.22731252,0.00027820334,0.00011329179,0.15504502],"study_design_scores_gemma":[0.0007721625,0.00014754826,0.00017383677,0.000119519515,0.000042526764,0.00004354415,0.00021391596,0.10869293,0.87419945,0.01430832,0.0010192674,0.00026698565],"about_ca_topic_score_codex":0.00002423226,"about_ca_topic_score_gemma":0.0000046581067,"teacher_disagreement_score":0.64688694,"about_ca_system_score_codex":0.00015435304,"about_ca_system_score_gemma":0.000026335716,"threshold_uncertainty_score":0.75544375},"labels":[],"label_agreement":null},{"id":"W2075835891","doi":"10.2206/kyushujm.58.105","title":"ON THE GENERALIZED GAUSS HYPERGEOMETRIC SYSTEM OF THREE VARIABLES","year":2004,"lang":"en","type":"article","venue":"Kyushu Journal of Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Learning Partnership","funders":"","keywords":"Mathematics; Gauss; Hypergeometric distribution; Hypergeometric function; Pure mathematics; Algebra over a field","score_opus":0.01659315772672628,"score_gpt":0.22498507114245556,"score_spread":0.20839191341572927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075835891","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29427576,0.00045262428,0.70369875,0.00007706875,0.000084661275,0.00008830057,0.0000027693884,0.000074486095,0.0012455798],"genre_scores_gemma":[0.8707732,0.00009134146,0.12903239,0.00001431622,0.000050070306,0.000002925739,2.0599975e-7,0.000025932499,0.000009641178],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998745,0.000017509163,0.0006621139,0.000051906674,0.00038253516,0.0001409145],"domain_scores_gemma":[0.99891585,0.00030133437,0.00034141968,0.00025671668,0.00013290683,0.000051753814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004624298,0.00013498869,0.00044487667,0.00024950807,0.000031472904,0.0000136180115,0.00033214732,0.000053301927,0.00003063146],"category_scores_gemma":[0.00022060837,0.000078287805,0.00017710027,0.000657952,0.000032605625,0.00006851813,0.00002116867,0.00019395181,0.0000086926775],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023999928,0.0004150888,0.00006645458,0.0009918279,0.00081361906,0.000054647717,0.0004245615,0.5192817,0.02510794,0.44989467,0.0011402222,0.0017852762],"study_design_scores_gemma":[0.0021261359,0.00084319856,0.00016375064,0.0028632195,0.00084775256,0.0007354311,0.0010979207,0.063879214,0.22214922,0.7036585,0.0008602376,0.0007754229],"about_ca_topic_score_codex":0.0000027116891,"about_ca_topic_score_gemma":7.25929e-7,"teacher_disagreement_score":0.57649744,"about_ca_system_score_codex":0.00011699795,"about_ca_system_score_gemma":0.000014648613,"threshold_uncertainty_score":0.3192484},"labels":[],"label_agreement":null},{"id":"W2076245005","doi":"10.1007/s11760-010-0154-z","title":"Multivariate kernel diffusion for surface denoising","year":2010,"lang":"en","type":"article","venue":"Signal Image and Video Processing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Smoothing; Noise reduction; Kernel (algebra); Image denoising; Multivariate statistics; Kernel smoother; Kernel density estimation; Noise (video); Surface (topology); Computer science; Artificial intelligence; Diffusion; Kernel method; Pattern recognition (psychology); Algorithm; Mathematics; Computer vision; Image (mathematics); Statistics; Geometry; Radial basis function kernel; Machine learning; Physics","score_opus":0.008080573097269417,"score_gpt":0.2686278755305037,"score_spread":0.2605473024332343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076245005","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2788869,0.00029759025,0.7201001,0.000035552705,0.000027425722,0.00010264984,0.000002837792,0.00036369727,0.00018323316],"genre_scores_gemma":[0.8312189,0.000016878223,0.16853765,0.00004025977,0.00007865479,0.000010778374,0.0000045054944,0.00003598499,0.00005636404],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99926364,0.000008450103,0.0001860927,0.00021211505,0.00009069833,0.00023899006],"domain_scores_gemma":[0.99962115,0.00008624302,0.000043044092,0.00009294853,0.00007704215,0.00007956683],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015298094,0.00015711712,0.0001862832,0.0000458719,0.00017115427,0.0001271726,0.000085996966,0.00007391374,0.000016641483],"category_scores_gemma":[0.00004948056,0.0001389522,0.00004764631,0.00013777238,0.00005880629,0.00047417634,0.000035555287,0.00021401618,0.0000028075515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008083109,0.000011155065,0.00010716101,0.000096446136,0.0000069145754,0.0000018601836,0.00012270796,0.00020308951,0.8898618,0.000014667434,0.000041192492,0.10952488],"study_design_scores_gemma":[0.0003021302,0.000024920048,0.00035418817,0.000084198786,0.00004427183,0.000008229674,0.000043811564,0.41699088,0.57597715,0.0042867167,0.0015609722,0.00032251733],"about_ca_topic_score_codex":0.00001535556,"about_ca_topic_score_gemma":0.0000061728138,"teacher_disagreement_score":0.552332,"about_ca_system_score_codex":0.000013081842,"about_ca_system_score_gemma":0.000008351517,"threshold_uncertainty_score":0.5666306},"labels":[],"label_agreement":null},{"id":"W2077121731","doi":"10.1115/1.1830493","title":"Quintic Spline Interpolation With Minimal Feed Fluctuation","year":2005,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":118,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Spline (mechanical); Spline interpolation; Parameterized complexity; Mathematics; Quintic function; Algorithm; Arc length; Interpolation (computer graphics); Smoothing spline; Arc (geometry); Applied mathematics; Mathematical analysis; Geometry; Computer science; Bilinear interpolation; Engineering; Artificial intelligence; Structural engineering; Physics; Statistics","score_opus":0.004478745530792439,"score_gpt":0.21003760873986596,"score_spread":0.20555886320907352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077121731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8161805,0.00008693042,0.18343492,0.00008504718,0.000043885826,0.00002735686,1.4092038e-7,0.0000721715,0.0000690092],"genre_scores_gemma":[0.9369556,0.000039438335,0.06285196,0.000013480061,0.00012214857,8.476849e-7,1.5479583e-7,0.000011009507,0.0000053784875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991983,0.000002158434,0.00023876234,0.00008587282,0.00030503506,0.00016984854],"domain_scores_gemma":[0.99967206,0.000024560233,0.0000647726,0.00007243911,0.00007785713,0.00008833815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029913604,0.00010287682,0.00014643092,0.00033733278,0.000043567597,0.000055371915,0.0001311877,0.00002241615,0.0000063641455],"category_scores_gemma":[0.00004472298,0.00007911808,0.00002494651,0.00021514522,0.000049713257,0.0008694286,0.000018006629,0.00016004292,0.0000013290302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015766826,0.000011123518,0.00008887129,0.00004200949,0.000027484873,0.0000061838937,0.00027196,0.6621776,0.267775,0.000031995758,0.000032332802,0.06951964],"study_design_scores_gemma":[0.00021274632,0.00011744783,0.010924289,0.00011474951,0.00002966533,0.00013427512,0.000056984078,0.5477631,0.4391207,0.000045759472,0.0012879636,0.00019230248],"about_ca_topic_score_codex":9.0065714e-7,"about_ca_topic_score_gemma":0.0000010156131,"teacher_disagreement_score":0.17134571,"about_ca_system_score_codex":0.00010936445,"about_ca_system_score_gemma":0.000013060735,"threshold_uncertainty_score":0.32263416},"labels":[],"label_agreement":null},{"id":"W2077991339","doi":"10.1016/s0377-0427(00)00370-8","title":"Reversing subdivision rules: local linear conditions and observations on inner products","year":2000,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subdivision; Mathematics; Tensor product; Multiresolution analysis; Biorthogonal wavelet; Biorthogonal system; Cartesian product; Applied mathematics; Factorization; Univariate; Inner product space; Wavelet; Algorithm; Pure mathematics; Discrete mathematics; Computer science; Wavelet transform; Multivariate statistics; Discrete wavelet transform","score_opus":0.01586471781838218,"score_gpt":0.24650176305989,"score_spread":0.23063704524150783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077991339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56474936,0.00006989121,0.4339889,0.00027732647,0.000014527206,0.00008191984,0.0000075799935,0.00005103746,0.00075944373],"genre_scores_gemma":[0.68692714,0.000070239716,0.31284377,0.000068404275,0.00004881404,0.0000016749973,0.000008331694,0.0000099471945,0.000021650372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994137,0.0000042222273,0.0002897012,0.000060185725,0.00016591095,0.00006625003],"domain_scores_gemma":[0.99962145,0.00013891322,0.00007340389,0.000042677977,0.00007557214,0.0000480083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008330126,0.000083616156,0.000170165,0.00007267389,0.00007864087,0.000017213608,0.000039261304,0.000028369956,0.000018986431],"category_scores_gemma":[0.000013472437,0.0000682928,0.000022791011,0.00012492653,0.00005526534,0.00009176634,0.0000073791307,0.00012469264,0.0000051324787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017812603,0.00017758511,0.00001181015,0.00019810224,0.000085596475,0.000004726312,0.00050194486,0.9099403,0.0014405843,0.054782555,0.0012703375,0.031568624],"study_design_scores_gemma":[0.00062599126,0.0001451369,0.0017478588,0.0003069411,0.00010886232,0.00013295485,0.00025387018,0.59305173,0.0026727018,0.39650443,0.0041407445,0.0003087743],"about_ca_topic_score_codex":1.1267644e-7,"about_ca_topic_score_gemma":5.5174112e-8,"teacher_disagreement_score":0.34172186,"about_ca_system_score_codex":0.000019986493,"about_ca_system_score_gemma":0.000007140318,"threshold_uncertainty_score":0.27848995},"labels":[],"label_agreement":null},{"id":"W2080376707","doi":"10.1016/j.acha.2003.12.004","title":"Symmetric multivariate orthogonal refinable functions","year":2004,"lang":"en","type":"article","venue":"Applied and Computational Harmonic Analysis","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Orthogonal group; Pure mathematics; Orthogonal matrix; Order (exchange); Symmetry (geometry); Combinatorics; Orthogonal basis; Geometry; Physics; Quantum mechanics","score_opus":0.00786738639086296,"score_gpt":0.22181844946801,"score_spread":0.21395106307714704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080376707","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05230106,0.00028593923,0.94371116,0.00009094422,0.000014246854,0.0000688029,0.000013625821,0.0004030325,0.0031111978],"genre_scores_gemma":[0.959161,0.000050351486,0.04039543,0.00009742582,0.000026475185,0.00004578668,0.00013995373,0.000017164208,0.00006645425],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99903315,0.000007655596,0.00026460402,0.0002733093,0.00021536389,0.0002058913],"domain_scores_gemma":[0.9996016,0.00007450505,0.00004609974,0.00012645627,0.000054234988,0.00009711173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007626849,0.00016705245,0.00029335433,0.00051560457,0.00014776328,0.000034323642,0.00008688176,0.00005564024,0.00006273041],"category_scores_gemma":[0.0000062630565,0.00016234712,0.00015087842,0.002676546,0.00004966131,0.000086394655,0.000034294357,0.00014593084,0.00005347908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000048194097,0.000034971334,0.00013708987,0.000006836525,0.00085652096,0.0000021339827,0.000022986771,0.9459615,0.00029066353,0.044946045,0.00003124991,0.007705206],"study_design_scores_gemma":[0.0009814824,0.00004007052,0.039029785,0.000007922472,0.0022142376,0.000007802995,0.00012062914,0.7609934,0.0005794255,0.19352888,0.0017636749,0.0007326671],"about_ca_topic_score_codex":0.000032610486,"about_ca_topic_score_gemma":0.000006343409,"teacher_disagreement_score":0.9068599,"about_ca_system_score_codex":0.00009653505,"about_ca_system_score_gemma":0.000018015351,"threshold_uncertainty_score":0.66203237},"labels":[],"label_agreement":null},{"id":"W2080616536","doi":"10.1016/j.cam.2013.11.009","title":"Interpolation of two-dimensional curves with Euler spirals","year":2013,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mathematics; Interpolation (computer graphics); Tangent; Classification of discontinuities; Stencil; Euler's formula; Mathematical analysis; Geometry; Motion (physics)","score_opus":0.008331348937185977,"score_gpt":0.23560075900042632,"score_spread":0.22726941006324033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080616536","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27971727,0.00020105821,0.7189031,0.00009748127,0.000012947104,0.00009604556,0.0000015917155,0.000026742337,0.0009437374],"genre_scores_gemma":[0.60845697,0.000009845908,0.39146665,0.000034891767,0.000016101747,0.0000022146044,0.0000013831846,0.000006740952,0.000005233748],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993218,0.0000032139333,0.00036991815,0.00003655808,0.00021445923,0.0000540283],"domain_scores_gemma":[0.9994168,0.0001506204,0.00020553349,0.000034838326,0.00015435096,0.000037829897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007453879,0.000076452205,0.00022332215,0.00007115929,0.000012788027,0.000008611873,0.00004781628,0.000015446778,0.000040424937],"category_scores_gemma":[0.00000806479,0.000051822106,0.00003186363,0.000092057606,0.000037212325,0.00010817987,0.000011566992,0.000076713506,0.0000024380467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011657492,0.00013387352,0.00008314433,0.0005502664,0.0002026886,0.0000013341893,0.00019215536,0.95511,0.018788584,0.017029664,0.0021039862,0.0057926066],"study_design_scores_gemma":[0.0007017466,0.00016457928,0.0010445116,0.0007424523,0.00010220479,0.00011826134,0.00008223562,0.5422349,0.0097071165,0.44478983,0.00007171039,0.00024044336],"about_ca_topic_score_codex":3.742126e-7,"about_ca_topic_score_gemma":9.037098e-8,"teacher_disagreement_score":0.42776018,"about_ca_system_score_codex":0.000008124966,"about_ca_system_score_gemma":0.000007320716,"threshold_uncertainty_score":0.21132442},"labels":[],"label_agreement":null},{"id":"W2081479354","doi":"10.1007/s10474-005-0019-z","title":"Large transversals to small families of unit disks","year":2005,"lang":"en","type":"article","venue":"Acta Mathematica Academiae Scientiarum Hungaricae","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Emphasis (telecommunications); Computer science","score_opus":0.01655464823451632,"score_gpt":0.2686242870482423,"score_spread":0.252069638813726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081479354","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44445825,0.0003026156,0.52966994,0.0027537376,0.0001371236,0.00081225426,0.00009115538,0.0016424438,0.020132476],"genre_scores_gemma":[0.93087846,0.00010386793,0.06791809,0.00019798403,0.000050657512,0.0000489427,0.000008032182,0.00005720399,0.00073674397],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99769133,0.0000392243,0.0007261183,0.00037932396,0.00049258664,0.0006714082],"domain_scores_gemma":[0.9987593,0.00018822192,0.00010729387,0.0005879345,0.00007844606,0.0002787775],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005802561,0.00031017844,0.0005828253,0.00042638008,0.000106756146,0.000034368793,0.0008694192,0.00022316723,0.00024655584],"category_scores_gemma":[0.00021947733,0.00027791318,0.00020745181,0.001444382,0.00012762767,0.00034029744,0.00015786594,0.0004810543,0.00016821914],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004279083,0.0009764486,0.00073281955,0.0012096495,0.00066350214,0.000007299898,0.013814195,0.009769732,0.8729452,0.028969185,0.033616655,0.03725253],"study_design_scores_gemma":[0.0007632029,0.00014876343,0.0011078543,0.0003528121,0.00040751317,0.000012763049,0.0013203757,0.07657721,0.6627202,0.012527989,0.24255049,0.0015107953],"about_ca_topic_score_codex":0.000002742192,"about_ca_topic_score_gemma":0.000014837572,"teacher_disagreement_score":0.48642024,"about_ca_system_score_codex":0.000071146744,"about_ca_system_score_gemma":0.00001544684,"threshold_uncertainty_score":0.9999673},"labels":[],"label_agreement":null},{"id":"W2081580873","doi":"10.1145/1124772.1124825","title":"symSpline","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tangent; Spline (mechanical); Curvature; Tangent vector; Computer science; Mathematics; Algorithm; Geometry; Physics","score_opus":0.0014550129448636497,"score_gpt":0.17190957079837557,"score_spread":0.17045455785351193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081580873","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011585642,0.00008585327,0.85402364,0.000029273748,0.0000185334,0.00001700087,3.5814887e-7,0.0017692639,0.13247044],"genre_scores_gemma":[0.96164656,0.0000071092104,0.037175458,0.000018609502,0.000043660253,0.000003924589,0.000002785112,0.0000082843035,0.001093636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998058,8.711033e-7,0.0000594752,0.000037445203,0.000032485616,0.00006390985],"domain_scores_gemma":[0.99990726,0.000008388868,0.0000026106275,0.00006582187,0.0000054518478,0.000010469611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000008599321,0.000035865338,0.00004670862,0.000020441776,0.000006238494,0.0000032287185,0.000031942564,0.000012804967,0.00013376203],"category_scores_gemma":[0.0000016094974,0.000029701625,0.000019472543,0.00009612534,0.000005647546,0.00003098874,0.000004790606,0.000025452217,0.00006737046],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000034804425,0.00011558302,0.0060558054,0.000050606075,0.00006609016,0.000024431223,0.0000092189375,0.30805644,0.27181676,0.11979569,0.19762638,0.09637952],"study_design_scores_gemma":[0.00014989253,0.000021093741,0.005061176,0.000006358135,0.000019091109,0.0000040828018,0.0000059516015,0.2664208,0.36919352,0.05413622,0.30451816,0.00046366357],"about_ca_topic_score_codex":0.000012838088,"about_ca_topic_score_gemma":0.000006504278,"teacher_disagreement_score":0.9500609,"about_ca_system_score_codex":0.000010671605,"about_ca_system_score_gemma":3.014392e-7,"threshold_uncertainty_score":0.14646006},"labels":[],"label_agreement":null},{"id":"W2081775347","doi":"10.4028/www.scientific.net/ast.78.63","title":"Phase Field Dynamic Modelling of Shape Memory Alloys Based on Isogeometric Analysis","year":2012,"lang":"en","type":"article","venue":"Advances in science and technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Toronto","funders":"","keywords":"Shape-memory alloy; Isogeometric analysis; Microstructure; Materials science; Phase (matter); Field (mathematics); Phase field models; Martensite; Coupling (piping); Numerical analysis; Mechanics; Computer simulation; Partial differential equation; Statistical physics; Finite element method; Mathematical analysis; Structural engineering; Mathematics; Physics; Metallurgy; Engineering","score_opus":0.009627734528542521,"score_gpt":0.29350330407445563,"score_spread":0.2838755695459131,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081775347","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48409796,0.003293306,0.51143175,0.00008246189,0.000038784132,0.0000738265,0.0000020652776,0.00021448349,0.0007653524],"genre_scores_gemma":[0.9746189,0.00094892085,0.024356822,0.000042274074,0.000003851672,0.00001838934,9.380003e-7,0.0000065057025,0.0000033999086],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99896455,0.000006183075,0.00023395271,0.00022755338,0.00023143114,0.00033632247],"domain_scores_gemma":[0.9994177,0.00012669133,0.000054551387,0.0002893236,0.000061263934,0.000050475533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031558928,0.00011426841,0.00028480636,0.0032715842,0.0000453103,0.000005294022,0.00030865188,0.00008274289,0.0000151403765],"category_scores_gemma":[0.0001772595,0.000103168,0.0000371163,0.011739704,0.00037459563,0.00050008507,0.000047014382,0.00017329243,0.0000014538755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010262705,0.00021149489,0.0074700317,0.00002751739,0.00002255663,0.0000024262752,0.000030021245,0.49593636,0.010191444,0.00094268087,0.000001913441,0.4851533],"study_design_scores_gemma":[0.00015980648,0.00013928658,0.000041608193,0.0000110290275,0.000033354612,6.444667e-7,0.000051217132,0.9555217,0.04234756,0.0013591266,0.00021629635,0.00011836754],"about_ca_topic_score_codex":0.0000041946173,"about_ca_topic_score_gemma":0.000007201511,"teacher_disagreement_score":0.49052092,"about_ca_system_score_codex":0.00006219412,"about_ca_system_score_gemma":0.000009990855,"threshold_uncertainty_score":0.56405383},"labels":[],"label_agreement":null},{"id":"W2082089361","doi":"10.1016/j.jat.2006.03.008","title":"Bivariate Lagrange interpolation at the Padua points: The generating curve approach","year":2006,"lang":"en","type":"article","venue":"Journal of Approximation Theory","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":127,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Mathematics; Interpolation (computer graphics); Bivariate analysis; Trigonometric interpolation; Lagrange polynomial; Birkhoff interpolation; Simple (philosophy); Applied mathematics; Polynomial interpolation; Lebesgue integration; Linear interpolation; Pure mathematics; Mathematical analysis; Statistics","score_opus":0.006853733283551202,"score_gpt":0.21613925061158565,"score_spread":0.20928551732803444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082089361","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028019235,0.00061711617,0.9672652,0.0003441691,0.000084711624,0.00013747018,0.0000023357943,0.00008516742,0.0034446032],"genre_scores_gemma":[0.9290912,0.0000447874,0.07006123,0.00015795305,0.00042483883,0.000017435803,0.000012572143,0.000032137636,0.00015785109],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877906,0.00023005785,0.0005267427,0.000078375975,0.00025299197,0.00013274974],"domain_scores_gemma":[0.99908453,0.00023493238,0.00035176022,0.00019422577,0.00011123709,0.000023326296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014368815,0.00012676395,0.00017349995,0.00008798253,0.00015842964,0.00005855856,0.00023316212,0.00004976033,0.00004305972],"category_scores_gemma":[0.00009017074,0.00006573964,0.00014512139,0.0002753791,0.000066674336,0.00029825652,0.000036174093,0.00027158172,0.000007938244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027245437,0.0003240246,0.00070636946,0.00020732547,0.0006992055,0.000008395559,0.004466005,0.4658093,0.2214836,0.18842073,0.01793008,0.09967251],"study_design_scores_gemma":[0.0003476504,0.00004903292,0.0006316531,0.000045930276,0.00013288554,0.00008980949,0.00059788756,0.81471926,0.014461602,0.16468869,0.0040021236,0.00023347563],"about_ca_topic_score_codex":0.0000042499437,"about_ca_topic_score_gemma":0.00000306777,"teacher_disagreement_score":0.90107197,"about_ca_system_score_codex":0.00010636707,"about_ca_system_score_gemma":0.0000061640026,"threshold_uncertainty_score":0.26807848},"labels":[],"label_agreement":null},{"id":"W2082564297","doi":"10.1243/0954405011518638","title":"Rough pocketing of multi-sculptured surface cavities","year":2001,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Offset (computer science); Machining; Tool path; Surface (topology); Boundary (topology); Geometry; Computer science; Cutter location; Projection (relational algebra); Algorithm; Mathematics; Mathematical analysis; Mechanical engineering; Engineering","score_opus":0.010590652523031738,"score_gpt":0.21603138738150682,"score_spread":0.20544073485847508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082564297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7947544,0.0012116675,0.20251258,0.00015183672,0.0007634294,0.00024101476,0.000016761947,0.0001857098,0.0001626333],"genre_scores_gemma":[0.9639161,0.00037067628,0.035545465,0.000008092118,0.00009568784,0.0000022251056,9.494494e-7,0.0000369271,0.000023831419],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99796796,0.0000069636453,0.0010753694,0.00013678698,0.00053591817,0.0002769763],"domain_scores_gemma":[0.99869096,0.00007932908,0.0005504963,0.00015055813,0.00041728222,0.00011139332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004375313,0.0003027142,0.00074066647,0.00020560437,0.00003356397,0.000010873995,0.0005830952,0.00021068957,0.000013067333],"category_scores_gemma":[0.00048856885,0.0002285069,0.00043014294,0.0005366036,0.00007905133,0.0003708625,0.00007479759,0.00061260565,3.5592774e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003021526,0.00004677812,0.00005416056,0.00032559078,0.00017710913,0.0000017299009,0.00011455709,0.80845714,0.18914255,0.0012370342,0.00015136231,0.00026175915],"study_design_scores_gemma":[0.0004997882,0.000109134824,0.00017094825,0.0007588507,0.00016374125,0.00007537033,0.0001269088,0.09473579,0.899531,0.00022765472,0.0033415395,0.0002592764],"about_ca_topic_score_codex":0.000005568804,"about_ca_topic_score_gemma":4.0377967e-7,"teacher_disagreement_score":0.7137214,"about_ca_system_score_codex":0.00011072191,"about_ca_system_score_gemma":0.000022803251,"threshold_uncertainty_score":0.9318241},"labels":[],"label_agreement":null},{"id":"W2084237356","doi":"10.1115/1.4026910","title":"Extending the Transport Theorem to Rough Domains of Integration","year":2014,"lang":"en","type":"review","venue":"Applied Mechanics Reviews","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Mathematics; Physics; Geometry; Classical mechanics; Mathematical analysis","score_opus":0.030518611319175135,"score_gpt":0.31706396125303976,"score_spread":0.2865453499338646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084237356","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[2.077839e-8,0.50986385,0.48719266,0.000002952158,0.000051636187,0.0012685726,0.0000070811057,0.00013176375,0.0014814786],"genre_scores_gemma":[0.000044446824,0.97021925,0.028023317,0.0000679102,0.00010210068,0.0013145291,0.000077074044,0.00012274948,0.000028601049],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99747175,0.00010567517,0.0014870731,0.00039107286,0.00024850623,0.0002959098],"domain_scores_gemma":[0.99828947,0.00015447647,0.0004343574,0.0010021366,0.000030481608,0.00008910581],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011908755,0.0005860081,0.0030356052,0.00016796152,0.000052789375,0.000012469962,0.0007590372,0.00023894577,0.000039729213],"category_scores_gemma":[0.00005231559,0.00033872563,0.0008584311,0.0010136549,0.000018052335,0.000040165974,0.000053696993,0.00050896656,0.00012574712],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.419963e-7,0.0000063657317,1.2143205e-9,0.0044522,0.000048553582,2.7784122e-7,0.000025645239,0.00004551655,0.00004348832,0.14501838,0.00019312082,0.8501658],"study_design_scores_gemma":[0.000022314147,0.00001653786,7.263206e-9,0.004778018,0.00075684855,0.0000029875184,0.0000043010577,0.00023398231,0.00013468917,0.010177448,0.98353565,0.00033719235],"about_ca_topic_score_codex":0.000001552186,"about_ca_topic_score_gemma":0.0000052492915,"teacher_disagreement_score":0.9833425,"about_ca_system_score_codex":0.00014224157,"about_ca_system_score_gemma":0.00001502739,"threshold_uncertainty_score":0.9999065},"labels":[],"label_agreement":null},{"id":"W2084285808","doi":"10.1115/1.1765147","title":"A New Principle of CNC Tool Path Planning for Three-Axis Sculptured Part Machining—A Steepest-Ascending Tool Path","year":2004,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Tool path; Tangent; Path (computing); Numerical control; Surface (topology); Machine tool; Computer science; Mathematics; Mechanical engineering; Engineering drawing; Algorithm; Geometry; Engineering","score_opus":0.010902165920571055,"score_gpt":0.24673277902101007,"score_spread":0.235830613100439,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084285808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5352933,0.0003796746,0.46389577,0.00002142634,0.00018497395,0.000107816646,0.0000026514754,0.00009384962,0.000020590951],"genre_scores_gemma":[0.88123053,0.00003860285,0.11850402,0.000012296756,0.00017168885,0.000005449469,6.3849404e-7,0.000031179283,0.0000056211393],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981186,0.0000041875664,0.00063575234,0.00022261044,0.00055172254,0.00046712585],"domain_scores_gemma":[0.99922115,0.00008214599,0.00021395029,0.00020055474,0.000097927055,0.00018427773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077327277,0.00025104082,0.00044744316,0.0004132032,0.00012244513,0.00008800745,0.00038183143,0.00007120819,0.000004563164],"category_scores_gemma":[0.00023414011,0.00021680388,0.0001467854,0.00031921637,0.000054261156,0.00081012526,0.00007227038,0.00033208603,4.233359e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020997486,0.000015439533,0.00039685555,0.00019266311,0.000063281026,0.000020855048,0.0003769358,0.93285483,0.039611213,0.0002998108,0.000028079945,0.02611901],"study_design_scores_gemma":[0.002314241,0.0007113041,0.02773613,0.0022403249,0.0002055963,0.0003006839,0.00017483046,0.16859704,0.78348494,0.0032584437,0.009653347,0.0013230976],"about_ca_topic_score_codex":0.000006035161,"about_ca_topic_score_gemma":7.541603e-7,"teacher_disagreement_score":0.7642578,"about_ca_system_score_codex":0.00022163965,"about_ca_system_score_gemma":0.00007698415,"threshold_uncertainty_score":0.88410056},"labels":[],"label_agreement":null},{"id":"W2086187796","doi":"10.1016/s0097-8493(00)00052-2","title":"Extensions of the general polar value based control point specification method in constructing tensor product B-spline surfaces","year":2000,"lang":"en","type":"article","venue":"Computers & Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo","keywords":"Tensor product; Mathematics; Bézier curve; Spline (mechanical); Partial derivative; Basis function; Polynomial; Applied mathematics; B-spline; Algorithm; Mathematical optimization; Pure mathematics; Mathematical analysis; Geometry","score_opus":0.009669493209502554,"score_gpt":0.24898706486502023,"score_spread":0.23931757165551767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086187796","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33597445,0.00039184975,0.6622352,0.00061464234,0.000116551346,0.00032949675,0.000014565066,0.00024641686,0.00007683191],"genre_scores_gemma":[0.7238502,0.000058763006,0.27587152,0.00014681005,0.000038396603,0.000006398695,0.0000048842517,0.000018845592,0.0000041529693],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881405,0.00014931639,0.0004182901,0.00024491828,0.00017426566,0.00019917024],"domain_scores_gemma":[0.9991567,0.00019914155,0.00008506675,0.00043531717,0.00008120865,0.00004252673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031041857,0.00016351721,0.0003224196,0.0001493574,0.000055027103,0.000012538545,0.00024262528,0.00005390912,0.000013257429],"category_scores_gemma":[0.00004689703,0.00012852308,0.00014315415,0.00085876195,0.00011735274,0.000078659155,0.000015081267,0.00026120996,0.0000010412592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016583692,0.000060033275,0.007455365,0.00003576628,0.00005800881,0.0000028522193,0.000076047436,0.9177112,0.046760827,0.0021414938,0.00013711028,0.025544688],"study_design_scores_gemma":[0.0003490145,0.000018230814,0.017113827,0.000062918865,0.00003953446,0.000006982162,0.00001298897,0.957025,0.022802755,0.00168539,0.00069974427,0.0001836087],"about_ca_topic_score_codex":0.000048190803,"about_ca_topic_score_gemma":0.00000838749,"teacher_disagreement_score":0.38787577,"about_ca_system_score_codex":0.000034861652,"about_ca_system_score_gemma":0.000013023896,"threshold_uncertainty_score":0.5241019},"labels":[],"label_agreement":null},{"id":"W2086364994","doi":"10.1007/s00365-012-9173-z","title":"Palindromic Matrices of Order Two and Three-Point Subdivision Schemes","year":2012,"lang":"en","type":"article","venue":"Constructive Approximation","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Subdivision; Mathematics; Exponent; Limit (mathematics); Hermite polynomials; Convergence (economics); Limit point; Order (exchange); Mathematical analysis; Pure mathematics; Applied mathematics; Combinatorics","score_opus":0.007806357442581959,"score_gpt":0.24257700926147255,"score_spread":0.2347706518188906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086364994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55981034,0.000513738,0.43899155,0.0000046560162,0.000026583815,0.000102165825,0.0000029560829,0.00011051804,0.00043748794],"genre_scores_gemma":[0.8760245,0.000048060854,0.123865664,0.0000031275572,0.000024074416,0.000014405335,0.0000071874933,0.000011781171,0.000001187238],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994494,0.000014452349,0.00020293592,0.000098967255,0.000100257304,0.00013402867],"domain_scores_gemma":[0.9996478,0.00004775708,0.00007749512,0.00011483029,0.000070143804,0.0000419976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000104412546,0.000105946965,0.0001819624,0.00010320835,0.000027449136,0.000008432922,0.000049767605,0.000042893604,0.000025930389],"category_scores_gemma":[0.000038877497,0.00009568808,0.00002801763,0.00025555352,0.000103890554,0.00043432933,0.00003189416,0.00007550849,0.0000044426874],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040793864,0.00011373774,0.16149014,0.0005254474,0.00028589365,7.5178593e-7,0.0010075318,0.00087138184,0.17614767,0.10985939,0.00006355012,0.5495937],"study_design_scores_gemma":[0.0009856941,0.00006813079,0.033779226,0.00013988075,0.00017882798,0.00004368936,0.00052891334,0.284993,0.6085898,0.06967092,0.00031532417,0.00070654333],"about_ca_topic_score_codex":0.0000062306804,"about_ca_topic_score_gemma":0.0000011257774,"teacher_disagreement_score":0.5488872,"about_ca_system_score_codex":0.000030861192,"about_ca_system_score_gemma":0.000003390015,"threshold_uncertainty_score":0.3902047},"labels":[],"label_agreement":null},{"id":"W2086584403","doi":"10.1016/j.cagd.2007.10.008","title":"Pythagorean-hodograph ovals of constant width","year":2008,"lang":"en","type":"article","venue":"Computer Aided Geometric Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Constant (computer programming); Mathematics; Piecewise; Class (philosophy); Constructive; Pure mathematics; Rational surface; Algebraic surface; Algebraic number; Mathematical analysis; Computer science; Physics","score_opus":0.03211867835147426,"score_gpt":0.22534878845834305,"score_spread":0.1932301101068688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086584403","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0073561887,0.0011491422,0.9894321,0.000008723605,0.00012231187,0.00021492696,0.0000051171633,0.0008338311,0.00087766105],"genre_scores_gemma":[0.59127635,0.00042957047,0.40813124,0.000038830374,0.000047891728,0.00001252603,0.0000039901497,0.000031529315,0.00002806074],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984685,0.00006416889,0.0005238323,0.00027308057,0.00032388262,0.00034650823],"domain_scores_gemma":[0.99871767,0.0004952647,0.00009974272,0.0004347812,0.00012322712,0.00012930455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024275083,0.0002469067,0.0005614394,0.0014771774,0.000053738488,0.000011526094,0.00034473077,0.00008873574,0.00005445958],"category_scores_gemma":[0.00006449842,0.00023108727,0.00020052417,0.0049130614,0.00015677436,0.00014914178,0.000064590124,0.00016635713,0.000030149415],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054527216,0.0003749806,0.004933628,0.00019026597,0.00087430695,0.00032647976,0.00022676917,0.372503,0.008524869,0.0008624715,0.051406648,0.559722],"study_design_scores_gemma":[0.0027020657,0.0018443699,0.018483665,0.00023405944,0.00032081554,0.0004827097,0.00002283314,0.59254956,0.34256542,0.023484243,0.014404796,0.002905429],"about_ca_topic_score_codex":0.000006972266,"about_ca_topic_score_gemma":1.01696386e-7,"teacher_disagreement_score":0.5839202,"about_ca_system_score_codex":0.000049466773,"about_ca_system_score_gemma":0.000016628688,"threshold_uncertainty_score":0.9423466},"labels":[],"label_agreement":null},{"id":"W2086763954","doi":"10.1016/s0021-9045(03)00120-5","title":"Vector cascade algorithms and refinable function vectors in Sobolev spaces","year":2003,"lang":"en","type":"article","venue":"Journal of Approximation Theory","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":164,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Cascade; Mathematics; Sobolev space; Scalar (mathematics); Algorithm; Convergence (economics); Vector-valued function; Applied mathematics; Mathematical analysis; Geometry","score_opus":0.0066254768223125106,"score_gpt":0.22097955575839595,"score_spread":0.21435407893608344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086763954","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33267167,0.0019087066,0.66268563,0.00006208316,0.00017332222,0.00010086675,8.4141425e-7,0.00009625156,0.002300633],"genre_scores_gemma":[0.9692866,0.00018019893,0.030367702,0.000022893017,0.000048820028,0.0000048469874,7.2675783e-7,0.000017971897,0.000070208276],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992922,0.0000821857,0.00030770208,0.000069338916,0.00013271515,0.00011587222],"domain_scores_gemma":[0.99963117,0.000077220306,0.00012613421,0.000071573784,0.00004714234,0.00004675036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006095255,0.00009390498,0.00019621932,0.0002256266,0.000024645538,0.00002167822,0.00004863071,0.000047961097,0.000031031588],"category_scores_gemma":[0.00011723759,0.00007923209,0.000045996392,0.0002669693,0.000027230699,0.0003488925,0.0000055679097,0.0002025959,0.000002243147],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055364566,0.00056683685,0.0043930593,0.0007766783,0.0007008483,0.00010824964,0.0045203017,0.14919856,0.21385114,0.33947012,0.0022513724,0.28360918],"study_design_scores_gemma":[0.0019278142,0.0005516158,0.0073011885,0.00030948882,0.00021833563,0.00029653724,0.0024016635,0.05493954,0.24230403,0.65933806,0.02953303,0.00087870425],"about_ca_topic_score_codex":0.0000011818793,"about_ca_topic_score_gemma":0.0000012694928,"teacher_disagreement_score":0.6366149,"about_ca_system_score_codex":0.000088845794,"about_ca_system_score_gemma":0.000009081276,"threshold_uncertainty_score":0.3230991},"labels":[],"label_agreement":null},{"id":"W2088013871","doi":"10.1108/09576060310491919","title":"Most efficient tool feed direction in three‐axis CNC machining","year":2003,"lang":"en","type":"article","venue":"Integrated Manufacturing Systems","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Concordia University","funders":"","keywords":"Tangent; Machining; Numerical control; Tool path; Machine tool; Point (geometry); Cutter location; Enhanced Data Rates for GSM Evolution; Engineering; Mechanical engineering; Cutting tool; Cnc milling; Engineering drawing; Geometry; Mathematics","score_opus":0.007228653040223125,"score_gpt":0.21453660767379473,"score_spread":0.2073079546335716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088013871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7756482,0.0005549114,0.21296893,0.000009090976,0.00078451954,0.00045533956,0.000008170602,0.0018806282,0.007690218],"genre_scores_gemma":[0.9980275,0.000022316892,0.0015290101,0.00001076682,0.000036262405,0.00011680849,0.000013493724,0.00006390796,0.00017992426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836683,0.00008469021,0.00055111304,0.00034148185,0.00023343567,0.0004224169],"domain_scores_gemma":[0.99940026,0.00008353888,0.000076883705,0.00032597818,0.00004192095,0.00007144408],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029947283,0.00032185382,0.00042487602,0.0003533823,0.00007080719,0.000084862215,0.00016181533,0.00015374155,0.000033209428],"category_scores_gemma":[0.0000894831,0.00028156067,0.0000750181,0.00049954304,0.000025847274,0.00011739949,0.00001685205,0.0004687738,0.000048458678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001056847,0.00004672726,0.00088016334,0.000106542895,0.00007578913,0.000031641906,0.00012645665,0.97789127,0.01064782,0.00044307995,0.00015409007,0.00958587],"study_design_scores_gemma":[0.00064151164,0.00007178515,0.003637956,0.0006816175,0.00004604177,0.00006876911,0.00048339786,0.624762,0.34428567,0.00048391917,0.02367617,0.0011611381],"about_ca_topic_score_codex":0.0009259254,"about_ca_topic_score_gemma":0.00014596192,"teacher_disagreement_score":0.35312924,"about_ca_system_score_codex":0.0005148429,"about_ca_system_score_gemma":0.00001357542,"threshold_uncertainty_score":0.99996364},"labels":[],"label_agreement":null},{"id":"W2088519797","doi":"10.1155/mpe/2006/29643","title":"Intersection test and blossoming perturbation for disk parametric curves and ball parametric surfaces","year":2006,"lang":"en","type":"article","venue":"Mathematical Problems in Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Tensor product; Ball (mathematics); Parametric statistics; Mathematics; Bézier curve; Parametric surface; Parametric equation; Mathematical analysis; Geometry; Pure mathematics; Statistics","score_opus":0.005714358145732484,"score_gpt":0.20064002474079984,"score_spread":0.19492566659506735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088519797","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14516802,0.0024644907,0.85131353,0.000033725006,0.000025366271,0.00043012772,0.0000042096317,0.0004122939,0.0001482073],"genre_scores_gemma":[0.96150243,0.00029097026,0.03797058,0.0000053006383,0.00002142457,0.00014173343,0.000006245115,0.000036764086,0.000024566727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907315,0.0000064344,0.0003726721,0.00020202892,0.00010713214,0.00023858968],"domain_scores_gemma":[0.9989261,0.0008740769,0.000035606223,0.00010078978,0.00001702185,0.000046388446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022137476,0.00018523664,0.00029649577,0.00034201107,0.000026045784,0.000043320666,0.000059765804,0.00007651609,0.0000031155955],"category_scores_gemma":[0.00059759355,0.00017295365,0.00003762065,0.00065405003,0.000028141321,0.00019266001,0.000028523918,0.00015272605,7.9525745e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000028616748,0.00013901359,0.0029546008,0.006601373,0.00003979408,0.0000018711305,0.00012348675,0.97254807,0.0074569704,0.003613184,0.00009725961,0.006421535],"study_design_scores_gemma":[0.00015693149,0.00004165085,0.0009025462,0.00044717884,0.00002581719,0.0000075299713,0.000011290008,0.9754268,0.0010622556,0.021620229,0.00007920756,0.00021855177],"about_ca_topic_score_codex":0.000009264184,"about_ca_topic_score_gemma":0.000003871307,"teacher_disagreement_score":0.81633437,"about_ca_system_score_codex":0.00007664578,"about_ca_system_score_gemma":0.0000013776508,"threshold_uncertainty_score":0.7052845},"labels":[],"label_agreement":null},{"id":"W2088898191","doi":"10.1080/00207543.2011.626804","title":"Approximation of planar offset curves with globally bounded error for B-spline NC tool paths","year":2012,"lang":"en","type":"article","venue":"International Journal of Production Research","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Offset (computer science); Spline (mechanical); Bounded function; Upper and lower bounds; Bounding overwatch; B-spline; Approximation error; Algorithm; Mathematics; Machining; Curve fitting; Mathematical optimization; Computer science; Mathematical analysis; Engineering; Statistics; Artificial intelligence","score_opus":0.06403783961287522,"score_gpt":0.3965945202454906,"score_spread":0.33255668063261534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088898191","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32758275,0.0024275952,0.66170967,0.0058584083,0.0010328175,0.0007645734,0.000060250943,0.00010979994,0.00045412738],"genre_scores_gemma":[0.9274771,0.0004887442,0.0709924,0.00002494159,0.0008185926,0.000030800114,0.000030576848,0.000020236817,0.00011658738],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981134,0.00005380442,0.00045720278,0.000096791766,0.0010867135,0.00019210063],"domain_scores_gemma":[0.9974944,0.000085055064,0.0001899537,0.00012413687,0.0020466095,0.000059873946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015176212,0.00008592403,0.00018301148,0.0003475383,0.000036025605,0.000021013871,0.00030441186,0.000038229016,0.000029826699],"category_scores_gemma":[0.0005818999,0.00006714667,0.000076143326,0.0003065243,0.000080201615,0.00059765653,0.000021964386,0.00024014378,0.0000029422094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0056685414,0.0035030378,0.02767356,0.0027305612,0.004762059,0.000034418328,0.0020090018,0.04470251,0.43254337,0.028651671,0.21639067,0.23133059],"study_design_scores_gemma":[0.003728396,0.002530659,0.019314522,0.0031181567,0.00029627146,0.0011203164,0.0012265489,0.02653607,0.7232646,0.041981455,0.17573196,0.001151072],"about_ca_topic_score_codex":0.0000068450645,"about_ca_topic_score_gemma":0.0000032267194,"teacher_disagreement_score":0.59989434,"about_ca_system_score_codex":0.00019470831,"about_ca_system_score_gemma":0.000044305663,"threshold_uncertainty_score":0.2738162},"labels":[],"label_agreement":null},{"id":"W2088922790","doi":"10.1016/s0377-0427(01)00359-4","title":"Planar G2 transition with a fair Pythagorean hodograph quintic curve","year":2002,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Quintic function; Mathematics; Curvature; Hodograph; Osculating circle; Inflection point; Planar; Pythagorean triple; Total curvature; Mathematical analysis; Pythagorean trigonometric identity; Torsion of a curve; Geometry; Pythagorean theorem; Center of curvature; Polynomial; Mean curvature; Physics; Nonlinear system","score_opus":0.009243594204555368,"score_gpt":0.20136826097753754,"score_spread":0.19212466677298218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088922790","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07691803,0.00010956015,0.9218016,0.00011411696,0.000008342212,0.00005976368,0.0000027787173,0.000064625776,0.0009211893],"genre_scores_gemma":[0.6886719,0.00003726238,0.31120774,0.000031599586,0.000031035066,0.0000021418755,0.0000020258992,0.000012365976,0.0000039324664],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993132,0.000004351993,0.00030838785,0.000055517685,0.00023028208,0.00008826362],"domain_scores_gemma":[0.9996191,0.000097974254,0.00011987192,0.000042953947,0.000057404577,0.00006267427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007397567,0.0001093836,0.00023934599,0.0001221278,0.000033424083,0.000021346528,0.000057782952,0.00002897356,0.00001870197],"category_scores_gemma":[0.0000031053903,0.00008013537,0.000051793173,0.00017377453,0.00004387626,0.000085245054,0.0000032577077,0.00012887773,0.0000029877704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004400984,0.00045115192,0.00003610555,0.00057356805,0.0005639849,0.00004602839,0.0034501278,0.9166643,0.0022307897,0.0474268,0.0019422912,0.02657083],"study_design_scores_gemma":[0.0009725212,0.00029075902,0.0002816332,0.00020503355,0.00022208436,0.0005665253,0.0005442961,0.536933,0.0012795046,0.45786545,0.00044226402,0.0003969385],"about_ca_topic_score_codex":1.4363584e-7,"about_ca_topic_score_gemma":2.7603983e-7,"teacher_disagreement_score":0.6117539,"about_ca_system_score_codex":0.0000143764855,"about_ca_system_score_gemma":0.0000026605903,"threshold_uncertainty_score":0.32678255},"labels":[],"label_agreement":null},{"id":"W2089491521","doi":"10.1109/tvcg.2009.42","title":"An Efficient Solution to Systems of Multivariate Polynomial Using Expression Trees","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subdivision; Computer science; Polyhedron; Polynomial; Tensor product; Representation (politics); Scalability; Expression (computer science); Mathematical optimization; Theoretical computer science; Algorithm; Mathematics; Combinatorics","score_opus":0.016158635675321126,"score_gpt":0.2913268980502798,"score_spread":0.27516826237495867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089491521","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1761176,0.000018392037,0.82333964,0.0000021410367,0.00014075446,0.00012701562,0.000005071717,0.00024655598,0.0000028282684],"genre_scores_gemma":[0.9941521,0.000023557155,0.005727373,0.000043138712,0.0000304105,0.0000050293193,0.0000034813256,0.000013484986,0.0000014128353],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992994,0.0000452156,0.00024175252,0.00016360002,0.00013804121,0.000111965346],"domain_scores_gemma":[0.9996691,0.000016135578,0.00003976147,0.00013410852,0.000057687485,0.00008326055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004889267,0.00012361906,0.00016900896,0.00031491608,0.00009400711,0.00002754733,0.00006025066,0.00007008434,0.0000013328734],"category_scores_gemma":[5.5927575e-7,0.00012114179,0.00004701327,0.0004363579,0.000018771225,0.00010009086,6.373579e-7,0.000066724504,3.3492202e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017740123,0.00013940963,0.0000043826763,0.000013054384,0.000011261595,2.7286666e-7,0.00023945303,0.9400624,0.054578025,0.0017678277,0.0000086985665,0.003157443],"study_design_scores_gemma":[0.00014647783,0.00018969041,0.00019341675,0.00006273272,0.000019117224,0.0000015289882,0.000012335232,0.9450228,0.05418318,0.000013164166,0.00003155948,0.00012395496],"about_ca_topic_score_codex":0.000019952155,"about_ca_topic_score_gemma":0.0000033706312,"teacher_disagreement_score":0.8180345,"about_ca_system_score_codex":0.000026892247,"about_ca_system_score_gemma":0.0000038026874,"threshold_uncertainty_score":0.4940019},"labels":[],"label_agreement":null},{"id":"W2090146861","doi":"10.1016/j.cagd.2009.03.009","title":"An involute spiral that matches Hermite data in the plane","year":2009,"lang":"en","type":"article","venue":"Computer Aided Geometric Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Involute; Hermite polynomials; Hodograph; Spiral (railway); Curvature; Plane (geometry); Geometry; Plane curve; Mathematical analysis; Point (geometry); Quintic function","score_opus":0.0644189477944117,"score_gpt":0.2796725208112776,"score_spread":0.21525357301686587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090146861","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012810984,0.0006368419,0.9854087,0.00009144923,0.0000702469,0.00023466327,0.000007067638,0.0005843517,0.00015567875],"genre_scores_gemma":[0.7978805,0.00009947814,0.20112552,0.00063587626,0.00015177851,0.0000089748355,0.00006528301,0.000021198122,0.000011425133],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985326,0.00012018906,0.00029044924,0.000376201,0.0003074844,0.00037305854],"domain_scores_gemma":[0.9983107,0.00029333902,0.00004639519,0.0012525271,0.000018111743,0.0000789696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005992851,0.00023232297,0.0003145724,0.0007405126,0.000044274588,0.00011109885,0.0015935247,0.00008172259,0.000012469625],"category_scores_gemma":[0.000027763339,0.00017660484,0.000044890392,0.00286883,0.000028229651,0.00059152703,0.0000827353,0.00027995554,0.00003339699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020554458,0.00023327302,0.0014404114,0.000026855669,0.000058043883,0.00017428484,0.0002591281,0.14086631,0.00061581394,0.000081063205,0.017448917,0.83877534],"study_design_scores_gemma":[0.00054123334,0.00056263956,0.07825353,0.00004591502,0.000053411637,0.00005374878,0.00003983458,0.9057643,0.0024421331,0.005762407,0.0057065873,0.000774257],"about_ca_topic_score_codex":0.000014390101,"about_ca_topic_score_gemma":0.000002669235,"teacher_disagreement_score":0.8380011,"about_ca_system_score_codex":0.0000544229,"about_ca_system_score_gemma":0.0000077137165,"threshold_uncertainty_score":0.72017366},"labels":[],"label_agreement":null},{"id":"W2092078117","doi":"10.1016/j.cagd.2007.03.003","title":"curve design with a pair of Pythagorean Hodograph quintic spiral segments","year":2007,"lang":"en","type":"article","venue":"Computer Aided Geometric Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":52,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Quintic function; Hermite polynomials; Curvature; Osculating circle; Parametric equation; Geometric design; Hermite interpolation; Curve fitting; Polynomial; Geometry; Mathematical analysis","score_opus":0.022743617363280497,"score_gpt":0.23496913693456262,"score_spread":0.2122255195712821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092078117","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010521671,0.000321828,0.9876174,0.000005367212,0.00009166938,0.0004574791,0.0000019957738,0.000841424,0.00014118392],"genre_scores_gemma":[0.5085818,0.000015414746,0.49123874,0.00003274754,0.000049218655,0.000012677495,0.0000037219868,0.00004442887,0.000021245864],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99787027,0.00010047344,0.00058796466,0.00038414195,0.00046541108,0.00059173553],"domain_scores_gemma":[0.9983725,0.0006461219,0.00014766114,0.0004893941,0.00014713698,0.00019721493],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00094693474,0.00036357951,0.0005811134,0.0020655484,0.000048172365,0.000032035176,0.00043026506,0.000111061345,0.000024097144],"category_scores_gemma":[0.000049768503,0.00031128572,0.00016133323,0.0063501378,0.00010518688,0.0002229084,0.00006920629,0.00023657591,0.000019827936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002130156,0.00040915594,0.0125668505,0.00022413926,0.00078761234,0.00021258178,0.00017050595,0.4601953,0.0033293965,0.000065579705,0.0046592085,0.5171666],"study_design_scores_gemma":[0.0037534565,0.006680637,0.049391553,0.00039275453,0.0006225045,0.00013653864,0.00006144174,0.5036815,0.42593238,0.004752958,0.0015653775,0.0030289362],"about_ca_topic_score_codex":0.000013533839,"about_ca_topic_score_gemma":8.1530766e-7,"teacher_disagreement_score":0.5141377,"about_ca_system_score_codex":0.00010367426,"about_ca_system_score_gemma":0.000016113216,"threshold_uncertainty_score":0.9999339},"labels":[],"label_agreement":null},{"id":"W2093822692","doi":"10.1016/j.cam.2004.02.008","title":"A generalisation of the Pythagorean hodograph quintic spiral","year":2004,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Quintic function; Mathematics; Curvature; Tangent; Hodograph; Geometric design; Conical surface; Geometry; Mathematical analysis","score_opus":0.009522527185269494,"score_gpt":0.22110179638586422,"score_spread":0.21157926920059472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093822692","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4746765,0.000043931184,0.5249126,0.00006783921,0.000017409891,0.000040384566,9.665017e-7,0.000014394185,0.00022602329],"genre_scores_gemma":[0.73435014,0.000010804069,0.26558077,0.000022214419,0.000027007372,8.8388884e-7,4.938289e-7,0.000006149295,0.0000015391106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993745,0.000003270333,0.0003395713,0.00003164556,0.00019843705,0.000052575615],"domain_scores_gemma":[0.99963427,0.000044765035,0.00018610648,0.000047971098,0.0000608533,0.000026067222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090269634,0.000066293724,0.00016693445,0.00006345691,0.000023749133,0.000008550599,0.00007967429,0.000021477306,0.0000029087107],"category_scores_gemma":[0.000009548616,0.00004265245,0.000074132826,0.0001594596,0.000051073937,0.000044505134,0.000013808662,0.000081309176,3.975234e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002959488,0.00005289992,0.000036837646,0.00008606782,0.00005837535,5.1731075e-7,0.00034866782,0.92677563,0.006266787,0.0637132,0.000041120184,0.0026169496],"study_design_scores_gemma":[0.00037389665,0.000039963896,0.0013775467,0.00007697616,0.00007017148,0.000052030027,0.00010480421,0.020341706,0.01828664,0.9591203,0.000060617294,0.00009540145],"about_ca_topic_score_codex":3.623169e-7,"about_ca_topic_score_gemma":2.7406836e-7,"teacher_disagreement_score":0.9064339,"about_ca_system_score_codex":0.000017544533,"about_ca_system_score_gemma":0.000010183519,"threshold_uncertainty_score":0.17393164},"labels":[],"label_agreement":null},{"id":"W2094568549","doi":"10.1109/sofa.2007.4318297","title":"Neural Network Modeling Techniques for the Real-Time Rendering of the Geometry and Elasticity of 3D Objects","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Rendering (computer graphics); Computer science; Artificial neural network; Computer graphics (images); Real-time rendering; Elasticity (physics); Solid modeling; Image-based modeling and rendering; Artificial intelligence; Computer vision","score_opus":0.010258393423116359,"score_gpt":0.24274620037537514,"score_spread":0.2324878069522588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094568549","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12303077,0.00016653861,0.8751955,0.000013412176,0.000020348734,0.00020178017,0.0000017548293,0.00026040987,0.0011095116],"genre_scores_gemma":[0.9043986,0.00010666842,0.095386125,0.000013982632,0.00004522432,0.000009695554,4.5242598e-7,0.000018378665,0.000020840424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992808,0.000008751356,0.00029322988,0.00010370391,0.00011351813,0.00019999013],"domain_scores_gemma":[0.9992761,0.0003683861,0.00005963495,0.00022141491,0.000050679355,0.000023777226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030795633,0.000106659245,0.00020875811,0.00004654798,0.000056841698,0.000004979914,0.00015929,0.00005416773,0.0000049440346],"category_scores_gemma":[0.00006680912,0.000061508625,0.000074849304,0.00034837346,0.000058637626,0.000058284622,0.000077472265,0.00010416921,6.880827e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002440678,0.000012476537,0.00063118356,0.000094342,0.00008027752,2.3476399e-7,0.00006849358,0.8963851,0.07445662,0.00046389378,0.00008568929,0.027697312],"study_design_scores_gemma":[0.000035879904,0.00002563465,0.00038569316,0.00002917522,0.00004023116,0.0000010788362,0.000028918706,0.8960579,0.102095105,0.0011992549,0.000023102182,0.00007800092],"about_ca_topic_score_codex":0.00004833186,"about_ca_topic_score_gemma":0.000018686611,"teacher_disagreement_score":0.78136784,"about_ca_system_score_codex":0.000019751926,"about_ca_system_score_gemma":0.0000029122004,"threshold_uncertainty_score":0.25082487},"labels":[],"label_agreement":null},{"id":"W2096714208","doi":"10.1109/nnsp.2000.890143","title":"Feature grid neural networks for curve partitioning","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Artificial neural network; Grid; Computer science; Learning curve; Artificial intelligence; Feature (linguistics); Set (abstract data type); Perception; Pattern recognition (psychology); Curve fitting; Algorithm; Machine learning; Mathematics; Geometry","score_opus":0.012557262936534218,"score_gpt":0.22951392219767489,"score_spread":0.21695665926114066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096714208","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00068036263,0.0005178886,0.9933561,0.00043438686,0.000111949805,0.00010617376,0.0000029071423,0.0011687459,0.0036214492],"genre_scores_gemma":[0.9461272,0.000098549244,0.051147465,0.0002666107,0.0003836317,0.00009551218,0.000022714115,0.000034857243,0.0018234571],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995865,0.0000045265247,0.000077308134,0.00009844185,0.000046975896,0.00018624538],"domain_scores_gemma":[0.9997805,0.000040145416,0.000011470311,0.00010580307,0.00001901423,0.000043082975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002183431,0.00008777339,0.0001102912,0.000025281986,0.00004372205,0.00001823112,0.00006339857,0.000049958886,0.00020915509],"category_scores_gemma":[0.0000127927715,0.00007655983,0.00007371971,0.00014878686,0.000011473275,0.000112119,0.000009371182,0.000106577296,0.0000083817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002078569,0.0000133948515,0.0004008344,0.000014379598,0.000035287212,0.0000020390987,0.000017163191,0.69491947,0.00023651232,0.00062170863,0.2713181,0.032419052],"study_design_scores_gemma":[0.000053605556,0.000015825313,0.00005495537,0.0000032697362,0.000009760643,0.0000015204881,0.0000035723742,0.96012586,0.00081313786,0.0002133164,0.0385985,0.00010670129],"about_ca_topic_score_codex":0.0000010728065,"about_ca_topic_score_gemma":0.000005407596,"teacher_disagreement_score":0.94544685,"about_ca_system_score_codex":0.000019567828,"about_ca_system_score_gemma":1.8116216e-7,"threshold_uncertainty_score":0.31220195},"labels":[],"label_agreement":null},{"id":"W2098085813","doi":"10.1007/3-540-31801-1_58","title":"A NURBS-Based Shape Optimization Method for Hydraulic Turbine Stay Vane","year":2006,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Hydraulic turbines; Turbine; Genetic algorithm; Computer science; Mathematical optimization; Control engineering; Engineering; Mathematics; Mechanical engineering; Machine learning","score_opus":0.011052371453975137,"score_gpt":0.25674860636240404,"score_spread":0.2456962349084289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098085813","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[1.9577227e-7,0.0002331225,0.77368027,0.00006885923,0.0000424403,0.0004529118,0.00005250708,0.0015073227,0.22396238],"genre_scores_gemma":[0.00011993009,0.00005507303,0.8522668,0.00027982172,0.00015163216,0.00011323877,0.00082892034,0.00023525284,0.14594932],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985706,0.000008293067,0.0004988684,0.0004170483,0.00022552404,0.00027966176],"domain_scores_gemma":[0.99909484,0.00018004469,0.00011953939,0.0003977747,0.0001238605,0.0000839323],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010700749,0.0004996188,0.00066772354,0.00029144107,0.000040354917,0.00002670761,0.00020204688,0.00038445392,0.0015147174],"category_scores_gemma":[0.000019424682,0.00046936845,0.00033716604,0.00008739477,0.000027909484,0.000086000546,0.000022846692,0.00025423197,0.000021536878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011233908,0.000012031965,1.7862239e-7,0.00009948844,0.000096640884,0.0000030961976,0.0000015554226,0.95811814,0.00012112485,0.0031028567,0.012439153,0.02599448],"study_design_scores_gemma":[0.00017388629,0.000052415173,1.8493269e-7,0.000039609207,0.00014163215,8.979325e-7,2.9140958e-7,0.76165825,0.0017678007,0.005268787,0.2304606,0.00043563105],"about_ca_topic_score_codex":0.000014770683,"about_ca_topic_score_gemma":0.000009051533,"teacher_disagreement_score":0.21802145,"about_ca_system_score_codex":0.00019119406,"about_ca_system_score_gemma":0.000014305668,"threshold_uncertainty_score":0.9997758},"labels":[],"label_agreement":null},{"id":"W2099031459","doi":"10.1109/tvcg.2006.22","title":"Artifacts caused by simplicial subdivision","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Subdivision; Computer science; Computer graphics (images); Tetrahedron; Subdivision surface; Filter (signal processing); Volume (thermodynamics); Simplicial complex; Visualization; Solid modeling; Computer vision; Artificial intelligence; Mathematics; Combinatorics; Geometry; Geography; Polygon mesh; Physics","score_opus":0.007424981031799721,"score_gpt":0.2413358500466822,"score_spread":0.23391086901488248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099031459","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041047994,0.000031206353,0.9579491,0.000009106356,0.000114760696,0.00008962134,0.00001135956,0.00069893914,0.00004788374],"genre_scores_gemma":[0.99925154,0.00013163527,0.00029133813,0.00019614046,0.00003904767,0.000012510634,0.000024936006,0.000027625209,0.000025240102],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929816,0.0000232582,0.00021037222,0.0001760626,0.00014807156,0.00014408764],"domain_scores_gemma":[0.9997328,0.000033958826,0.00002542749,0.000112356254,0.000038710492,0.00005677847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000034829714,0.00014986428,0.0001436234,0.00017896303,0.00012269191,0.00004681023,0.00005329902,0.000085031956,0.000014125725],"category_scores_gemma":[3.459827e-7,0.00015342598,0.00005715927,0.00045926604,0.00003781864,0.00012850159,7.3829005e-7,0.00011038378,0.0000053989875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008958871,0.0022682184,0.000867546,0.00032826714,0.00048220635,0.000020297586,0.000713212,0.3827055,0.019776704,0.39534435,0.036654092,0.16075],"study_design_scores_gemma":[0.00018057732,0.00007049385,0.00031208282,0.000012465416,0.000023179222,0.0000012702443,0.000002742011,0.9642113,0.030219097,0.0011793294,0.0035792778,0.0002082262],"about_ca_topic_score_codex":0.000019081574,"about_ca_topic_score_gemma":0.000025455412,"teacher_disagreement_score":0.95820355,"about_ca_system_score_codex":0.000019998419,"about_ca_system_score_gemma":0.0000026721357,"threshold_uncertainty_score":0.625653},"labels":[],"label_agreement":null},{"id":"W2099082062","doi":"10.1108/rpj-09-2013-0090","title":"Global adaptive slicing of NURBS based sculptured surface for minimum texture error in rapid prototyping","year":2015,"lang":"en","type":"article","venue":"Rapid Prototyping Journal","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Slicing; Rapid prototyping; Computer science; CAD; Algorithm; Range (aeronautics); Function (biology); Engineering drawing; Engineering; Mechanical engineering; Computer graphics (images)","score_opus":0.03384252073774824,"score_gpt":0.2911201040892896,"score_spread":0.2572775833515414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099082062","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03493283,0.0065509407,0.94882953,0.0003528735,0.00029942606,0.0074892663,0.0000417341,0.00053173094,0.000971684],"genre_scores_gemma":[0.81743383,0.00007454928,0.18153243,0.000089378525,0.00019543088,0.00057230354,0.000008505278,0.00008217517,0.000011385674],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975524,0.00016598763,0.00089241425,0.00032757816,0.0004316082,0.0006300012],"domain_scores_gemma":[0.99861294,0.00011133896,0.00031902257,0.00029648063,0.000388235,0.00027197404],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011628452,0.00038609368,0.0007438395,0.00024213005,0.00010280312,0.000052508418,0.00040730828,0.00022801585,0.000028392738],"category_scores_gemma":[0.00030053532,0.00035215428,0.00029931476,0.00091829704,0.00007831123,0.00038725324,0.00003629108,0.0005747133,0.0000026119314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048576286,0.0006289657,0.0068044225,0.0015890811,0.00088506483,0.00008795769,0.0026144176,0.679649,0.021678435,0.00073940156,0.0039532147,0.27651238],"study_design_scores_gemma":[0.004961133,0.0013108815,0.0012555181,0.0020204352,0.00013042893,0.00009481088,0.00068543124,0.9295398,0.033879504,0.0054586963,0.01952262,0.0011407677],"about_ca_topic_score_codex":0.000014729207,"about_ca_topic_score_gemma":0.000015716165,"teacher_disagreement_score":0.782501,"about_ca_system_score_codex":0.0005499922,"about_ca_system_score_gemma":0.00019570619,"threshold_uncertainty_score":0.99989307},"labels":[],"label_agreement":null},{"id":"W2100637044","doi":"10.1111/cgf.12172","title":"Discrete Line Congruences for Shading and Lighting","year":2013,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Congruence relation; Computer science; Curvature; Polygon mesh; Computer graphics (images); Gravitational singularity; Graphics; Line (geometry); Piecewise; Computer graphics; Congruence (geometry); Geometry; Topology (electrical circuits); Mathematics; Pure mathematics; Mathematical analysis","score_opus":0.0073376055087446155,"score_gpt":0.227470990083803,"score_spread":0.22013338457505838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100637044","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03363407,0.0003594724,0.9646591,0.00040886996,0.00011088282,0.00022266722,0.0000039282954,0.00050638686,0.00009464561],"genre_scores_gemma":[0.90639806,0.000106491076,0.093054526,0.0002280026,0.00009575165,0.000069582944,0.0000083231125,0.000024722258,0.000014558272],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993002,0.000005649815,0.00018732961,0.00017399093,0.000067016415,0.00026585025],"domain_scores_gemma":[0.99961084,0.000105644736,0.000030657004,0.00012664565,0.000050444323,0.00007578074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055114357,0.00013520646,0.00018554562,0.00010759527,0.00009402899,0.00007464693,0.00012842639,0.000053268028,0.000004333938],"category_scores_gemma":[0.000009286028,0.00011648138,0.0000724581,0.0001883587,0.0000548817,0.00024890518,0.00006500158,0.00010141573,0.0000028404786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018249608,0.00009129929,0.043468706,0.0009919181,0.0009760534,0.0000124406815,0.0008796162,0.015939375,0.017498424,0.28198984,0.03544565,0.60268843],"study_design_scores_gemma":[0.000104353945,0.000069722555,0.00042070047,0.000038660233,0.000014224075,0.0000028293725,0.000016349,0.9464089,0.0025048507,0.043928176,0.0062771225,0.00021408692],"about_ca_topic_score_codex":0.000011811814,"about_ca_topic_score_gemma":0.000007842047,"teacher_disagreement_score":0.9304696,"about_ca_system_score_codex":0.000008593674,"about_ca_system_score_gemma":0.0000015816282,"threshold_uncertainty_score":0.47499728},"labels":[],"label_agreement":null},{"id":"W2102898515","doi":"10.1016/j.cag.2009.03.012","title":"Smooth reverse subdivision","year":2009,"lang":"en","type":"article","venue":"Computers & Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subdivision; Smoothness; Decomposition; Tensor product; Biorthogonal system; Subdivision surface; Representation (politics); Computer science; Algorithm; Energy (signal processing); Multiresolution analysis; Mathematics; Mathematical optimization; Applied mathematics; Polygon mesh; Geometry; Mathematical analysis; Wavelet; Artificial intelligence; Pure mathematics; Wavelet transform","score_opus":0.007638505701383756,"score_gpt":0.2282245734884703,"score_spread":0.22058606778708656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102898515","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025553718,0.0003345108,0.9711047,0.00021684414,0.00016598206,0.00008385789,0.0000014754072,0.0016374983,0.0009014161],"genre_scores_gemma":[0.959261,0.00037047113,0.03943455,0.0008293323,0.00006261112,0.0000019919146,0.000008799846,0.000018073739,0.000013177768],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993213,0.000012583565,0.00016458084,0.00016209415,0.00014096715,0.00019850301],"domain_scores_gemma":[0.9995631,0.00003127912,0.000022788065,0.00027265822,0.000028518802,0.00008165532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005896474,0.00014062639,0.00017576864,0.0001535865,0.00004596211,0.000021131276,0.0001999594,0.00006420447,0.0000065935783],"category_scores_gemma":[0.000007363307,0.00013803777,0.00011033295,0.0005523562,0.00003181265,0.00012070102,0.000021888482,0.00018180921,0.00001499943],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019193863,0.00019077942,0.0014643641,0.00006432768,0.00010829776,0.00010894867,0.00031299848,0.028788673,0.0071278014,0.0462141,0.11257093,0.8030296],"study_design_scores_gemma":[0.00048907124,0.0002692638,0.016685,0.00013866973,0.00007122762,0.000013257198,0.000014337572,0.6361061,0.0052178297,0.077336624,0.26252854,0.0011300982],"about_ca_topic_score_codex":0.0000024131168,"about_ca_topic_score_gemma":8.6270006e-7,"teacher_disagreement_score":0.9337073,"about_ca_system_score_codex":0.000027292303,"about_ca_system_score_gemma":0.0000023609268,"threshold_uncertainty_score":0.5629017},"labels":[],"label_agreement":null},{"id":"W2107135270","doi":"10.1109/tvcg.2006.141","title":"Extensions of the Zwart-Powell Box Spline for Volumetric Data Reconstruction on the Cartesian Lattice","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Box spline; Tensor product; Spline (mechanical); Computer science; Mathematics; Cartesian coordinate system; Cartesian product; Smoothing spline; Spline interpolation; Geometry; Pure mathematics; Discrete mathematics; Computer vision; Physics","score_opus":0.021834598127811692,"score_gpt":0.2586936037754668,"score_spread":0.2368590056476551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107135270","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011075217,0.000040612427,0.9880415,0.00009356374,0.00023307417,0.00026517216,0.000059034046,0.0001599418,0.00003186443],"genre_scores_gemma":[0.99621874,0.00016882972,0.003230429,0.00022103159,0.0000560113,0.000021552605,0.000024545694,0.000023950804,0.00003491843],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992597,0.000044886492,0.00025695114,0.00019310098,0.00013874902,0.00010659894],"domain_scores_gemma":[0.9991987,0.00019158355,0.00006294415,0.00042970176,0.00009179433,0.00002532975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000112790825,0.0001239197,0.00013971247,0.00019040507,0.00021847172,0.000024266352,0.00018187542,0.00006457246,0.0000069166836],"category_scores_gemma":[0.000005182129,0.00008545968,0.000080795464,0.00096095045,0.00008480785,0.00010330981,0.0000029767994,0.00012995444,8.138805e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012513623,0.0013561556,0.00070251833,0.00038890957,0.00061976264,0.0000015479832,0.00040028736,0.29081127,0.0020879998,0.53164023,0.013436418,0.15842976],"study_design_scores_gemma":[0.00014594346,0.00006446262,0.00039118738,0.00003259463,0.00007951464,0.0000043666228,0.000013110126,0.9893482,0.006380885,0.00154231,0.0018902934,0.00010717497],"about_ca_topic_score_codex":0.000018090059,"about_ca_topic_score_gemma":0.00004879327,"teacher_disagreement_score":0.98514354,"about_ca_system_score_codex":0.000013795191,"about_ca_system_score_gemma":0.000006238542,"threshold_uncertainty_score":0.34849447},"labels":[],"label_agreement":null},{"id":"W2108968215","doi":"10.1007/s10474-007-6148-9","title":"More on determination of jumps","year":2007,"lang":"en","type":"article","venue":"Acta Mathematica Academiae Scientiarum Hungaricae","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Mathematics; Lebesgue integration; Fourier series; Integrable system; Poisson distribution; Poisson summation formula; Pure mathematics; Locally integrable function; Series (stratigraphy); Discontinuity (linguistics); Linear operators; Mathematical analysis; Fourier transform; Statistics","score_opus":0.010743153077878258,"score_gpt":0.2829767003102576,"score_spread":0.27223354723237936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108968215","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17592898,0.00010048535,0.7919989,0.00056828914,0.0002248824,0.00047596009,0.000011275555,0.0011635185,0.02952771],"genre_scores_gemma":[0.9370672,0.00002540161,0.062409554,0.000092203,0.000038115006,0.000013047837,0.000005131979,0.00003918535,0.00031017236],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99805754,0.000017127733,0.0006115413,0.0002810418,0.00059692,0.00043582826],"domain_scores_gemma":[0.99889255,0.00028778164,0.00015896703,0.00044723236,0.00007149267,0.00014197749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081555406,0.00021867221,0.00035589535,0.00042281733,0.000076268334,0.000018833189,0.0004986714,0.00021547166,0.00008730738],"category_scores_gemma":[0.00030096195,0.00019185917,0.00014196777,0.0010017924,0.00017632113,0.00026519533,0.000079047815,0.00043995545,0.000053855147],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044123262,0.0005734587,0.00046339325,0.0008690159,0.00016923806,0.000021533273,0.0024884364,0.00057405897,0.8311238,0.0203584,0.011715168,0.13159934],"study_design_scores_gemma":[0.0002919984,0.00012141863,0.0021538,0.00022453471,0.00013034372,0.000015687805,0.00023098616,0.06827114,0.8937821,0.025349237,0.008777394,0.00065139966],"about_ca_topic_score_codex":8.9364124e-7,"about_ca_topic_score_gemma":9.060608e-7,"teacher_disagreement_score":0.7611382,"about_ca_system_score_codex":0.000096577125,"about_ca_system_score_gemma":0.000007887647,"threshold_uncertainty_score":0.78237903},"labels":[],"label_agreement":null},{"id":"W2109760112","doi":"10.1145/1966394.1966400","title":"On the velocity of an implicit surface","year":2011,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"Parametrization (atmospheric modeling); Surface (topology); Constraint (computer-aided design); Vector field; Component (thermodynamics); Motion (physics); Mathematics; Tracking (education); Computer science; Mathematical analysis; Geometry; Computer vision; Physics; Optics","score_opus":0.026996388161415738,"score_gpt":0.24639795041467835,"score_spread":0.21940156225326263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109760112","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3819208,0.000013296719,0.6167425,0.000079807316,0.00003570924,0.00009491158,0.000017744724,0.0003524487,0.0007427606],"genre_scores_gemma":[0.98332334,0.00010226991,0.016417416,0.00010992344,0.0000034532468,0.00001229542,0.0000012686212,0.00002125843,0.000008804777],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994509,0.000025775902,0.00015172092,0.00011790057,0.00012738629,0.00012631518],"domain_scores_gemma":[0.9991295,0.00014047805,0.000024139208,0.00062758935,0.000034520042,0.00004378596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000086803346,0.000112387934,0.00012979322,0.00007813996,0.0000778549,0.000003923183,0.000306479,0.000066753506,0.00010015727],"category_scores_gemma":[0.000012988788,0.00008356613,0.00010621021,0.0004990692,0.00007382846,0.000080607184,0.0000019659526,0.00027151615,0.0000072664325],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052082125,0.0043419925,0.0006970676,0.00027200425,0.0023714285,0.00002420519,0.0062099434,0.34302714,0.097714886,0.18084817,0.0010561532,0.3629162],"study_design_scores_gemma":[0.00025890133,0.0006987354,0.004913684,0.00004632448,0.00016654056,0.000004821565,0.00020111626,0.03764117,0.68629974,0.26847807,0.00071627396,0.00057462323],"about_ca_topic_score_codex":0.000050796283,"about_ca_topic_score_gemma":0.000044412423,"teacher_disagreement_score":0.60140246,"about_ca_system_score_codex":0.000014967222,"about_ca_system_score_gemma":0.000003368007,"threshold_uncertainty_score":0.34077278},"labels":[],"label_agreement":null},{"id":"W2111598859","doi":"10.1109/icpr.1988.28188","title":"Nonlinear transformations of digitized patterns","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Nonlinear system; Image (mathematics); Computer science; Artificial intelligence; Algorithm; Computer vision; Computer graphics (images); Physics","score_opus":0.006268541437828478,"score_gpt":0.22397485219926727,"score_spread":0.2177063107614388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111598859","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03596247,0.00001799101,0.9228294,0.000010681968,0.000009279563,0.000041710005,0.000007875063,0.0003976647,0.04072292],"genre_scores_gemma":[0.9515148,0.00005554434,0.04830868,0.000015004434,0.0000030198778,0.0000061985993,0.0000049889136,0.000007803846,0.00008400045],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997008,0.000004115275,0.00014085873,0.00003401671,0.000051369338,0.000068880894],"domain_scores_gemma":[0.999857,0.000014830044,0.000007826958,0.00008255382,0.000015214954,0.00002255537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001939592,0.000046817655,0.000093562,0.000037330938,0.0000075023936,0.0000027768826,0.000036858655,0.000017730554,0.0002025177],"category_scores_gemma":[0.000008000596,0.00003985054,0.000046362395,0.00012128835,0.000008017282,0.000085970605,0.0000014013566,0.000034523826,0.000008509159],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003317641,0.0014620904,0.020301342,0.0016222873,0.0014439059,0.000019597705,0.0028055054,0.18333125,0.31284505,0.17324011,0.007523194,0.29537246],"study_design_scores_gemma":[0.00026794279,0.000030650262,0.00017390928,0.000015436695,0.000025145093,0.000002670581,0.000077366894,0.038997788,0.9289974,0.005198418,0.02598873,0.00022452865],"about_ca_topic_score_codex":0.000002208343,"about_ca_topic_score_gemma":0.000003190313,"teacher_disagreement_score":0.9155523,"about_ca_system_score_codex":0.000007968604,"about_ca_system_score_gemma":0.0000016716064,"threshold_uncertainty_score":0.22174267},"labels":[],"label_agreement":null},{"id":"W2111704718","doi":"10.3109/10929080601089997","title":"3D simulation of needle-tissue interaction with application to prostate brachytherapy","year":2006,"lang":"en","type":"article","venue":"Computer Aided Surgery","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Discretization; Computer science; Node (physics); Polygon mesh; Finite element method; Rendering (computer graphics); Computational science; Algorithm; Artificial intelligence; Computer graphics (images); Mathematics; Acoustics","score_opus":0.006133712819553564,"score_gpt":0.24034385923046428,"score_spread":0.2342101464109107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111704718","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13432483,0.000028503873,0.8649165,0.000027785221,0.000052296095,0.00019815617,0.000001529772,0.0003793446,0.000071073875],"genre_scores_gemma":[0.94913137,0.0000059275512,0.05056744,0.000053181422,0.00011917863,0.00004495343,0.000033485892,0.000028027725,0.000016443544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992796,0.00001686707,0.00029681393,0.00016048555,0.00011692649,0.00012926785],"domain_scores_gemma":[0.9994494,0.00017546602,0.00006793253,0.00019554204,0.00007867022,0.000033040596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006759475,0.00012099116,0.00023300035,0.000193499,0.000020040192,0.000015406396,0.00005171708,0.00003367653,0.0000056695826],"category_scores_gemma":[0.0000033882013,0.000112081296,0.000041915326,0.00044373763,0.00001323409,0.00020348633,0.000012412833,0.000063977684,0.000010290935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021617672,0.000020502239,0.0012976696,0.000021319709,0.000012742281,9.569467e-7,0.000034684417,0.8375317,0.0055399844,0.000012818111,0.00031819206,0.15518783],"study_design_scores_gemma":[0.000075691925,0.000045372988,0.0039495896,0.000047972357,0.000009363188,0.000002400913,0.000003023528,0.96040106,0.025811015,0.0003272127,0.009135507,0.00019177592],"about_ca_topic_score_codex":0.000037461545,"about_ca_topic_score_gemma":0.0000064392657,"teacher_disagreement_score":0.8148065,"about_ca_system_score_codex":0.000049872975,"about_ca_system_score_gemma":0.0000043005084,"threshold_uncertainty_score":0.45705426},"labels":[],"label_agreement":null},{"id":"W2111738498","doi":"10.5539/mas.v7n5p60","title":"The Representative Curve of Type-2 Fuzzy Data Point Modeling","year":2013,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Malaysia Terengganu","keywords":"Interpolation (computer graphics); Defuzzification; Bézier curve; Mathematics; Type (biology); Fuzzy logic; Fuzzy set; Point (geometry); Fuzzy number; Mathematical optimization; Fuzzy set operations; Data point; Applied mathematics; Algorithm; Computer science; Artificial intelligence; Geometry; Image (mathematics)","score_opus":0.03454135332476521,"score_gpt":0.2925444061128751,"score_spread":0.25800305278810987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111738498","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020291604,0.00011744961,0.9687401,0.00006980445,0.000032121203,0.00019836197,0.0000031004308,0.00018760802,0.010359873],"genre_scores_gemma":[0.9752467,0.00005524319,0.02459678,0.000019362918,0.00001241363,0.00002518258,0.0000028916093,0.000011554005,0.000029871813],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989047,0.000007189306,0.00021012429,0.00030073232,0.000330812,0.0002464132],"domain_scores_gemma":[0.99876964,0.00006393701,0.000039578717,0.0009696266,0.00009854838,0.000058649894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003507751,0.00009281296,0.00012830013,0.000051639792,0.0001426374,0.0000515294,0.0011658845,0.000020419122,0.000008631917],"category_scores_gemma":[0.00006991186,0.000063674095,0.00001706818,0.0006075157,0.00033043846,0.0003812939,0.00038922933,0.00011924853,0.000031265256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004901401,0.000014988042,0.000027856791,0.000008726891,0.000017286759,3.189186e-7,0.00045473714,0.29429555,0.6654273,0.0037814856,0.00055984926,0.03540701],"study_design_scores_gemma":[0.000024696785,0.000004298811,0.000019825397,0.000003008213,0.0000038950416,3.561617e-7,0.00011225908,0.92704177,0.017262569,0.055410303,0.000040948304,0.00007605366],"about_ca_topic_score_codex":0.00005187875,"about_ca_topic_score_gemma":0.0000047700596,"teacher_disagreement_score":0.9549551,"about_ca_system_score_codex":0.00003747124,"about_ca_system_score_gemma":0.000019199191,"threshold_uncertainty_score":0.25965542},"labels":[],"label_agreement":null},{"id":"W2113152333","doi":"10.1145/353474.353482","title":"Accurate approximate solution of partial differential equations at off-mesh points","year":2000,"lang":"en","type":"article","venue":"ACM Transactions on Mathematical Software","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Collocation (remote sensing); Partial differential equation; Interpolation (computer graphics); Polygon mesh; Collocation method; Computer science; Domain (mathematical analysis); Mathematics; Set (abstract data type); Applied mathematics; Elliptic partial differential equation; Order of accuracy; Numerical analysis; Orthogonal collocation; Differential equation; Mathematical optimization; Algorithm; Numerical partial differential equations; Ordinary differential equation; Mathematical analysis; Geometry","score_opus":0.018717545762010842,"score_gpt":0.2583963857301192,"score_spread":0.23967883996810835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113152333","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021584127,0.000025156525,0.977031,0.00009770379,0.000033473472,0.00021851793,0.00006152394,0.00084711297,0.00010141144],"genre_scores_gemma":[0.8212459,0.00009965399,0.17790489,0.000024292427,0.000024631327,0.00014410268,0.000031300493,0.000053463205,0.0004717661],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867797,0.00003500771,0.00048612998,0.00021932335,0.00028871853,0.00029282886],"domain_scores_gemma":[0.9989554,0.0003137181,0.000048215392,0.0005299714,0.000039643543,0.000112999114],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006168894,0.00021979636,0.0003535425,0.00009109807,0.0001403638,0.000016010412,0.0002482359,0.00012274609,0.006055696],"category_scores_gemma":[0.00009706805,0.00019836906,0.00021922137,0.00029858312,0.00009684273,0.00017012923,0.000008437478,0.00020656547,0.00033108902],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015538574,0.0011783887,0.0000134968,0.00051365816,0.00042397168,0.000005687655,0.0005081936,0.08699412,0.0068811905,0.00080816343,0.00013372838,0.90238404],"study_design_scores_gemma":[0.0012925469,0.00032375602,0.00019871164,0.00035848795,0.0006642478,0.00002183577,0.000047032016,0.6156104,0.14185646,0.23703064,0.0013795254,0.0012163182],"about_ca_topic_score_codex":0.0000022741542,"about_ca_topic_score_gemma":0.00000308045,"teacher_disagreement_score":0.9011677,"about_ca_system_score_codex":0.000101844824,"about_ca_system_score_gemma":0.0000062178005,"threshold_uncertainty_score":0.9948529},"labels":[],"label_agreement":null},{"id":"W2114597714","doi":"10.1109/cca.2005.1507096","title":"Suturing for surface meshes","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Polygon mesh; Computer science; Computer graphics (images)","score_opus":0.006862683946258068,"score_gpt":0.2345106830169642,"score_spread":0.22764799907070613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114597714","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04939008,0.00021439056,0.9358758,0.00022648383,0.0000308003,0.000093643655,0.0000014306537,0.0016130344,0.012554352],"genre_scores_gemma":[0.6778853,0.000028494625,0.32111752,0.000046809535,0.00008316039,0.000008886033,0.0000013321041,0.000014766379,0.0008137559],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996799,0.0000014641486,0.00008604465,0.00007004566,0.000039615104,0.00012287985],"domain_scores_gemma":[0.99983066,0.00003397681,0.0000055120818,0.00009012428,0.00001170924,0.000028035885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000029122932,0.000061569495,0.000085255466,0.000015868918,0.000017549883,0.0000074446734,0.000061112085,0.000022225197,0.00007232416],"category_scores_gemma":[0.0000064114133,0.000053272528,0.000047463083,0.00006468709,0.0000064238166,0.000099558616,0.000008476898,0.000032657255,0.000024132332],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069605485,0.000033839246,0.0004356319,0.00006461114,0.000103649916,7.417638e-7,0.00009249731,0.7418825,0.08742928,0.006327701,0.034397587,0.12922499],"study_design_scores_gemma":[0.000076154574,0.000010438822,0.000054114753,0.0000038101227,0.000009899522,6.401906e-7,0.000012824184,0.18285404,0.544326,0.0009694524,0.27151823,0.00016435151],"about_ca_topic_score_codex":0.0000015275924,"about_ca_topic_score_gemma":0.000009057652,"teacher_disagreement_score":0.6284952,"about_ca_system_score_codex":0.000030340541,"about_ca_system_score_gemma":8.782399e-7,"threshold_uncertainty_score":0.21723907},"labels":[],"label_agreement":null},{"id":"W2116786317","doi":"10.5539/mas.v8n3p24","title":"Aesthetic Curve Design with Linear Gradients of Logarithmic Curvature/Torsion Graphs","year":2014,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Curvature; Ode; Torsion of a curve; Logarithm; Torsion (gastropod); Mathematics; Graph; Ordinary differential equation; Function (biology); Mathematical analysis; Mean curvature; Differential equation; Geometry; Center of curvature; Discrete mathematics","score_opus":0.008315640657638266,"score_gpt":0.2123779372106617,"score_spread":0.20406229655302344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116786317","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05092616,0.00003477673,0.9473735,0.0000075952044,0.00002252487,0.00017852911,8.5316634e-7,0.0002956041,0.0011604438],"genre_scores_gemma":[0.86987156,0.000008703965,0.13003479,0.000022407996,0.000006214222,0.000024262865,0.0000011745316,0.00002027542,0.000010596413],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870247,0.000014673641,0.00018515783,0.00033254875,0.0004426898,0.00032247463],"domain_scores_gemma":[0.99936074,0.000018354762,0.0000617997,0.0003879604,0.00006481324,0.00010634102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036549778,0.0001676231,0.00022755348,0.00020770737,0.00009887887,0.000016544798,0.00046477036,0.0000493087,0.000003024673],"category_scores_gemma":[0.0000126780515,0.00013005448,0.00003494119,0.0009985106,0.00046552523,0.00013765144,0.000049605103,0.00016508708,0.00000915162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004258407,0.000100154,0.0004674241,0.000047521207,0.000010412017,0.0000017359737,0.00033568614,0.22790225,0.71820605,0.007639688,0.000038510476,0.04520798],"study_design_scores_gemma":[0.0001513612,0.00008957723,0.00021692197,0.000017963572,0.000014749753,0.0000035336793,0.000004358587,0.8440066,0.1355716,0.019553827,0.0001621666,0.0002073136],"about_ca_topic_score_codex":0.0000053029376,"about_ca_topic_score_gemma":0.000001842771,"teacher_disagreement_score":0.8189454,"about_ca_system_score_codex":0.000052225318,"about_ca_system_score_gemma":0.000015956428,"threshold_uncertainty_score":0.53034675},"labels":[],"label_agreement":null},{"id":"W2117047274","doi":"10.1016/j.cag.2010.12.001","title":"Multiresolutions numerically from subdivisions","year":2010,"lang":"en","type":"article","venue":"Computers & Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary; University of Waterloo","funders":"Networks of Centres of Excellence of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Subdivision; Bilinear interpolation; Bivariate analysis; Subdivision surface; Polygon mesh; Univariate; Applied mathematics; Mathematics; Diagrammatic reasoning; Spline (mechanical); Wavelet; Computer science; Filter (signal processing); Algebra over a field; Algorithm; Multivariate statistics; Pure mathematics; Geometry; Artificial intelligence; Computer vision; Structural engineering; Statistics","score_opus":0.0056902937155625805,"score_gpt":0.2199737664291837,"score_spread":0.21428347271362114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117047274","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12902752,0.00008513984,0.868244,0.00013291257,0.00049168576,0.00007943587,0.000021759202,0.0015939588,0.0003236077],"genre_scores_gemma":[0.815996,0.000075194555,0.18355666,0.00018433464,0.00010525151,0.000013171416,0.00003303054,0.000030478943,0.0000059039917],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991179,0.00001516028,0.00022346282,0.00022803366,0.00015993396,0.00025550782],"domain_scores_gemma":[0.99912477,0.00018196354,0.000029507737,0.00045080858,0.00005170162,0.00016123454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004532683,0.00017558582,0.00021080118,0.00014720454,0.0001156823,0.000035208417,0.00035073207,0.00011346685,0.000041690182],"category_scores_gemma":[0.000032990276,0.00017459453,0.0001549943,0.000593525,0.00012591599,0.000117195385,0.00007975114,0.00054682436,0.000042456988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026536914,0.0009260291,0.036450382,0.00006654538,0.0012074029,0.00013522519,0.0011867476,0.050281025,0.3414844,0.07840859,0.073253,0.4165741],"study_design_scores_gemma":[0.00022600743,0.000033796015,0.02495633,0.000021857033,0.0000573228,0.0000045393094,0.000009671528,0.8830341,0.0026406005,0.019640103,0.068792515,0.00058314606],"about_ca_topic_score_codex":0.000058609032,"about_ca_topic_score_gemma":0.000058803525,"teacher_disagreement_score":0.83275306,"about_ca_system_score_codex":0.000015192281,"about_ca_system_score_gemma":0.000006395482,"threshold_uncertainty_score":0.7119758},"labels":[],"label_agreement":null},{"id":"W2117588434","doi":"10.1016/j.cad.2006.06.006","title":"Single-set and class-of-sets semantics for geometric models","year":2006,"lang":"en","type":"article","venue":"Computer-Aided Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Class (philosophy); Set (abstract data type); Semantics (computer science); Computer science; Mathematics; Theoretical computer science; Artificial intelligence; Programming language","score_opus":0.046862721398200795,"score_gpt":0.24884229174513464,"score_spread":0.20197957034693384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117588434","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008787425,0.0005745448,0.9897171,0.00002005834,0.00006258325,0.00027424132,0.000010379049,0.00043096577,0.00012264881],"genre_scores_gemma":[0.5238226,0.000026508853,0.47602323,0.000015132577,0.000048770464,0.00001440139,0.000009955445,0.000026906437,0.0000125183315],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905026,0.000022755583,0.000339149,0.00021609929,0.00012733096,0.00024438545],"domain_scores_gemma":[0.99920803,0.00036479125,0.00006789171,0.00022785268,0.00007751632,0.00005391232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012459174,0.00018244612,0.00035408323,0.0003113681,0.000035803845,0.000030236144,0.0001494265,0.000087124805,0.000001764499],"category_scores_gemma":[0.000015780093,0.00018226316,0.00008359543,0.00054608425,0.000043487405,0.00016123854,0.000043451295,0.00007773931,0.0000016644915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012324349,0.000073975316,0.000053056614,0.00014043682,0.000058718353,0.000005105656,0.000022467842,0.9129559,0.008567785,0.0018046933,0.0070690745,0.06923651],"study_design_scores_gemma":[0.00021586503,0.00015121598,0.00005905886,0.000024725963,0.000035996483,0.0000049700284,0.0000014940235,0.9294472,0.031500794,0.037387818,0.00096676114,0.00020412814],"about_ca_topic_score_codex":0.000005942613,"about_ca_topic_score_gemma":7.913727e-7,"teacher_disagreement_score":0.51503515,"about_ca_system_score_codex":0.00004487036,"about_ca_system_score_gemma":0.0000055445166,"threshold_uncertainty_score":0.74324757},"labels":[],"label_agreement":null},{"id":"W2117700069","doi":"10.1111/1467-8659.00473","title":"A Recursive Subdivision Algorithm for Piecewise Circular Spline","year":2001,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Subdivision surface; Subdivision; Piecewise; Parameterized complexity; Polygon (computer graphics); Mathematics; Spline (mechanical); Algorithm; Arc (geometry); Arc length; Surface (topology); Geometry; Computer science; Mathematical analysis","score_opus":0.009044979503751365,"score_gpt":0.2386409206609409,"score_spread":0.22959594115718954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117700069","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0023811753,0.00063097436,0.99537194,0.0001730585,0.00024692476,0.00029895752,0.000015952202,0.00081825146,0.000062788764],"genre_scores_gemma":[0.18245652,0.0018374104,0.81334364,0.0011790978,0.0005474775,0.00019156456,0.0002149673,0.00017153625,0.000057799345],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988573,0.000011797091,0.0002655375,0.00028716118,0.00016153722,0.00041665757],"domain_scores_gemma":[0.99931276,0.00007083638,0.00004354005,0.00034256166,0.00011460581,0.000115681825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009726377,0.00021939943,0.000285913,0.00022967273,0.000095577714,0.000031928943,0.00025426206,0.000110891546,0.000007156905],"category_scores_gemma":[0.000007823625,0.00021845552,0.00024660563,0.0006076129,0.00004798563,0.0001544955,0.000070968425,0.0001767777,0.000009270582],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012509054,0.00013591071,0.00077293505,0.000061105704,0.00024220569,0.00004861499,0.00006797978,0.00351159,0.0003508876,0.017619641,0.018776158,0.9584005],"study_design_scores_gemma":[0.0002736187,0.00011883412,0.00013024492,0.000026800502,0.00003184406,0.000015600963,0.0000053462904,0.86011416,0.0008632376,0.045680944,0.09245438,0.00028497083],"about_ca_topic_score_codex":0.0000033294284,"about_ca_topic_score_gemma":0.000002819407,"teacher_disagreement_score":0.9581155,"about_ca_system_score_codex":0.00004188942,"about_ca_system_score_gemma":0.0000046522987,"threshold_uncertainty_score":0.8908357},"labels":[],"label_agreement":null},{"id":"W2118197096","doi":"10.1023/a:1021642308852","title":"A Two-Dimensional Ellipse–Rectangle Intersection Test","year":2002,"lang":"en","type":"article","venue":"Journal of Mathematical Modelling and Algorithms","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ellipse; Convexity; Rectangle; Monotonic function; Simple (philosophy); Mathematics; Quadratic equation; Polynomial; Algorithm; Time complexity; Computer science; Mathematical optimization; Geometry; Mathematical analysis","score_opus":0.02015139002648595,"score_gpt":0.23584285189217022,"score_spread":0.21569146186568428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118197096","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03845805,0.00067759905,0.95966876,0.000088817746,0.00005752395,0.000035644378,0.0000011719434,0.0000915959,0.00092084066],"genre_scores_gemma":[0.7010393,0.00017336967,0.29848355,0.000021694797,0.00015283185,0.0000018690557,2.3618423e-7,0.000021760181,0.00010536081],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911976,0.000013308331,0.0004235604,0.00008375172,0.00021488099,0.00014475545],"domain_scores_gemma":[0.99940515,0.00024829508,0.000085782915,0.00007632574,0.00007101997,0.00011344818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017609823,0.0001238018,0.0002986388,0.00010893692,0.000038684157,0.000025317531,0.00007204895,0.000046872578,0.000081540835],"category_scores_gemma":[0.00005230303,0.00009419318,0.000106371706,0.00012920839,0.0000378124,0.00014709537,0.000014352867,0.00027082843,0.000016711238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007396918,0.00028309898,0.000009438208,0.0000965306,0.00010929062,0.00004480271,0.00035304748,0.9602399,0.0028218871,0.00047723475,0.0006559453,0.034901466],"study_design_scores_gemma":[0.0001612247,0.00010302152,3.8046971e-7,0.00011783231,0.000038078608,0.00021626716,0.000029805933,0.96210986,0.002183755,0.034811575,0.0001231603,0.00010502956],"about_ca_topic_score_codex":6.6827647e-7,"about_ca_topic_score_gemma":9.933592e-8,"teacher_disagreement_score":0.66258126,"about_ca_system_score_codex":0.000038444592,"about_ca_system_score_gemma":0.000001784862,"threshold_uncertainty_score":0.38410863},"labels":[],"label_agreement":null},{"id":"W2119926469","doi":"10.1017/s0004972700019201","title":"Dimension invariance of subdivisions","year":2001,"lang":"en","type":"article","venue":"Bulletin of the Australian Mathematical Society","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Dalhousie University","funders":"","keywords":"Mathematics; Subdivision; Conjecture; Invariant (physics); Dimension (graph theory); Combinatorics; Set (abstract data type); Pure mathematics; Geography; Computer science","score_opus":0.015764985154724104,"score_gpt":0.2460478049851652,"score_spread":0.2302828198304411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119926469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6743301,0.00017519653,0.29131767,0.014713619,0.00018110962,0.0010634335,0.000036013666,0.0009213737,0.017261475],"genre_scores_gemma":[0.9242349,0.000047700498,0.07389111,0.000065354434,0.00001531348,0.000008371223,8.3065e-7,0.000019264784,0.0017171486],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999117,0.00002214348,0.00035947902,0.00010333638,0.00022539085,0.00017265539],"domain_scores_gemma":[0.999318,0.00012700557,0.000084479114,0.00037991875,0.00004007795,0.000050512856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001603659,0.00011690644,0.00027798125,0.000009468037,0.000036873276,0.000004299094,0.0003005335,0.00008285797,0.0009123088],"category_scores_gemma":[0.00009403895,0.00007843941,0.00032824106,0.00023413262,0.00017235386,0.00001533614,0.000087123684,0.00015346029,0.000043061653],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003177496,0.0012088055,0.004213538,0.0021918085,0.00085154787,0.0000053238177,0.0017818303,0.01993455,0.24776277,0.061013125,0.6555477,0.0054572294],"study_design_scores_gemma":[0.0010460345,0.00018790804,0.01046171,0.0015761966,0.00050118717,0.000048536043,0.0007226012,0.02474391,0.50219595,0.23268086,0.22460166,0.0012334682],"about_ca_topic_score_codex":0.000007281313,"about_ca_topic_score_gemma":1.5796105e-7,"teacher_disagreement_score":0.43094605,"about_ca_system_score_codex":0.000025352045,"about_ca_system_score_gemma":0.0000031618315,"threshold_uncertainty_score":0.9989142},"labels":[],"label_agreement":null},{"id":"W2120220508","doi":"10.1016/j.acha.2007.02.001","title":"Characterization of Riesz bases of wavelets generated from multiresolution analysis","year":2007,"lang":"en","type":"article","venue":"Applied and Computational Harmonic Analysis","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Multiresolution analysis; Wavelet; Operator (biology); Spectrum (functional analysis); Characterization (materials science); Riesz potential; Pure mathematics; Banach space; Riesz transform; Mathematical analysis; Wavelet transform; Discrete wavelet transform; Computer science; Quantum mechanics","score_opus":0.007041630827160224,"score_gpt":0.21869281670940866,"score_spread":0.21165118588224843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120220508","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4799918,0.000058513782,0.5197429,0.0000053123254,0.0000036967706,0.000036526246,0.00005130868,0.00005142746,0.00005850831],"genre_scores_gemma":[0.9723675,0.0000696946,0.02592033,0.000023509838,0.000017032673,0.000006828949,0.0015779033,0.000010920498,0.000006272832],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988122,0.000016095462,0.0005587689,0.00022331231,0.0002525009,0.0001370956],"domain_scores_gemma":[0.99932164,0.00014373404,0.00019949947,0.00013974227,0.00013679574,0.00005860462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013850324,0.00014686158,0.0005270443,0.00068776484,0.000042716583,0.000008421464,0.00008275993,0.00006678337,0.00006661682],"category_scores_gemma":[0.000006855251,0.00014766384,0.00021314184,0.0030806542,0.000075766926,0.00006750786,0.000024391946,0.00006603661,0.0000012414117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004434276,0.00008722318,0.0070594735,0.000021626438,0.008852599,0.0000013206202,0.00018379118,0.6070791,0.3563611,0.0015578986,0.000005231037,0.018746328],"study_design_scores_gemma":[0.00014825835,0.0000090385965,0.17674378,0.000003007655,0.003380663,9.702129e-8,0.00003213592,0.74445,0.07400573,0.0010573219,0.000025936066,0.00014407885],"about_ca_topic_score_codex":0.00010025157,"about_ca_topic_score_gemma":0.0000308978,"teacher_disagreement_score":0.49382257,"about_ca_system_score_codex":0.00003505951,"about_ca_system_score_gemma":0.000008118274,"threshold_uncertainty_score":0.6021557},"labels":[],"label_agreement":null},{"id":"W2122702915","doi":"10.1016/j.cad.2009.01.004","title":"Generating cutter swept envelopes in five-axis milling by two-parameter families of spheres","year":2009,"lang":"en","type":"article","venue":"Computer-Aided Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Surface (topology); Envelope (radar); Parametric surface; Intersection (aeronautics); Geometry; Point (geometry); Machining; SPHERES; Surface of revolution; Parametric statistics; Parametric equation; Path (computing); RADIUS; Ruled surface; Mathematics; Computer science; Engineering; Mechanical engineering","score_opus":0.013118735754395268,"score_gpt":0.2387677291274653,"score_spread":0.22564899337307004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122702915","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17641562,0.000776179,0.8222016,0.000023133403,0.000047088768,0.0001548699,0.0000024727485,0.00030075136,0.00007825817],"genre_scores_gemma":[0.493257,0.00006988507,0.506348,0.0002169591,0.00005336734,0.000010258609,0.0000055802834,0.00002117894,0.000017757267],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99852806,0.000092058195,0.0005583138,0.00031151573,0.0001742565,0.00033580695],"domain_scores_gemma":[0.9992319,0.00028914915,0.00007864919,0.00029075268,0.000046826426,0.00006276285],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013449506,0.00027421332,0.0004911239,0.00016713663,0.000037088234,0.000037326896,0.00027710124,0.00008490599,0.000029988438],"category_scores_gemma":[0.00003261451,0.00026514762,0.000104562736,0.00041405373,0.000043889155,0.00021091804,0.000039709474,0.00020239023,0.000010922218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010634302,0.00004763641,0.0002189797,0.000023366823,0.00003893798,0.000012003292,0.00025318324,0.6992765,0.14150293,0.000020188985,0.006944844,0.15165077],"study_design_scores_gemma":[0.0002577276,0.00017539105,0.0001239845,0.00008419676,0.000013183278,0.0000033757622,0.000025194355,0.77883327,0.21818626,0.0015672995,0.0003988538,0.00033126812],"about_ca_topic_score_codex":0.000039001403,"about_ca_topic_score_gemma":0.000006316783,"teacher_disagreement_score":0.31684136,"about_ca_system_score_codex":0.0000665675,"about_ca_system_score_gemma":0.000007953249,"threshold_uncertainty_score":0.9999801},"labels":[],"label_agreement":null},{"id":"W2123576178","doi":"10.1007/s00466-013-0966-0","title":"Isogeometric analysis of a dynamic thermo-mechanical phase-field model applied to shape memory alloys","year":2014,"lang":"en","type":"article","venue":"Computational Mechanics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Canada Research Chairs; University of Toronto; University of New Brunswick","funders":"","keywords":"Shape-memory alloy; Isogeometric analysis; Coupling (piping); Microstructure; Phase field models; Materials science; Computer simulation; Field (mathematics); Numerical analysis; Flexibility (engineering); Mechanics; Phase (matter); Structural engineering; Finite element method; Mathematics; Mathematical analysis; Physics; Engineering; Composite material","score_opus":0.010240160989326353,"score_gpt":0.2705505212757794,"score_spread":0.26031036028645305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123576178","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035790987,0.000032283013,0.9631323,0.00006520606,0.00003856528,0.00017270111,0.000023913502,0.00036682704,0.0003771904],"genre_scores_gemma":[0.8299745,0.000008143431,0.1695289,0.00033119044,0.000014056401,0.000038656333,0.000061729166,0.00003415074,0.000008721001],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985116,0.000023410836,0.00047611332,0.00032556942,0.0004242251,0.00023905071],"domain_scores_gemma":[0.9989834,0.0003600637,0.00008947471,0.0002984619,0.00013003478,0.00013855616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023051977,0.00021551677,0.00055135443,0.0010276969,0.000041647978,0.000014266534,0.00033675734,0.000112580856,0.0000916045],"category_scores_gemma":[0.00012080162,0.00022353827,0.00023361761,0.0031170812,0.000008594154,0.00005820365,0.00008951426,0.00016463945,0.000020168167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017151031,0.00007450279,3.7137463e-7,0.000014740525,0.00037231587,3.6958923e-7,0.00003108825,0.8956426,0.01641732,0.01833186,0.000058971218,0.069038704],"study_design_scores_gemma":[0.00022944232,0.0001063769,0.000009467565,0.0000063713287,0.00035023427,4.70017e-7,0.00001082937,0.95009494,0.003156588,0.045776177,0.000035572528,0.00022350883],"about_ca_topic_score_codex":0.000001838426,"about_ca_topic_score_gemma":0.0000037877264,"teacher_disagreement_score":0.79418343,"about_ca_system_score_codex":0.00009079354,"about_ca_system_score_gemma":0.000014496502,"threshold_uncertainty_score":0.9115626},"labels":[],"label_agreement":null},{"id":"W2123938448","doi":"","title":"A Geometric B-Spline Over the Triangular Domain","year":2003,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tensor product; B-spline; Mathematics; Spline (mechanical); Control point; Domain (mathematical analysis); Generalization; Box spline; Topology (electrical circuits); Pure mathematics; Geometry; Mathematical analysis; Combinatorics; Engineering","score_opus":0.005333098991927153,"score_gpt":0.19660248816156864,"score_spread":0.19126938916964148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123938448","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99206513,0.0010442339,0.0044252593,0.00012496654,0.00017558582,0.0003126307,0.000027810864,0.0003138763,0.001510487],"genre_scores_gemma":[0.078092024,0.0023069445,0.03119484,0.000055160865,0.00010860989,0.0000043346854,0.0008772846,0.00019674779,0.88716406],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9990506,0.00004174765,0.0001424905,0.00023667324,0.00027886932,0.00024960848],"domain_scores_gemma":[0.9992797,0.00004559237,0.00012904438,0.00040533862,0.0000743858,0.00006596525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001267664,0.00025446079,0.00045745954,0.0004933777,0.00011227471,0.000012276183,0.0004124087,0.0002510355,0.00042530784],"category_scores_gemma":[0.00001671852,0.0002309246,0.0002867624,0.0010789479,0.000057417696,0.00012145051,0.000026527086,0.00033479184,0.000039608603],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018003066,0.0015205534,0.0019423047,0.0069555333,0.012280568,0.0012442317,0.2737099,0.04285885,0.16175312,0.0071383445,0.27023017,0.21856612],"study_design_scores_gemma":[0.009773419,0.0011506196,0.025749596,0.0014278153,0.0061200913,0.000036107533,0.41517594,0.0155982515,0.09031509,0.020220935,0.40558285,0.00884931],"about_ca_topic_score_codex":0.0018695499,"about_ca_topic_score_gemma":0.0035651927,"teacher_disagreement_score":0.91397315,"about_ca_system_score_codex":0.00011311557,"about_ca_system_score_gemma":0.0000145512095,"threshold_uncertainty_score":0.94168323},"labels":[],"label_agreement":null},{"id":"W2125020571","doi":"10.1109/icpr.1990.118078","title":"Recognizing planar curves using curvature-tuned smoothing","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Curvature; Planar; Smoothing; Computer science; Geometry; Computer vision; Computer graphics (images); Mathematics","score_opus":0.037522046584107994,"score_gpt":0.23670225898281685,"score_spread":0.19918021239870887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125020571","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020076256,0.011579428,0.90747017,0.00048436646,0.00022598344,0.00025839446,0.0000060523453,0.005558827,0.054340556],"genre_scores_gemma":[0.6730655,0.0022736238,0.32254136,0.001141952,0.0001552492,0.000013685395,0.000009981483,0.000100918,0.0006977278],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915004,0.000016099948,0.00023296548,0.0001797943,0.00015012691,0.00027095812],"domain_scores_gemma":[0.9996137,0.000051787592,0.000030341815,0.00020526584,0.000026036734,0.00007285609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007406231,0.0001670582,0.00023002047,0.00009850658,0.000063060834,0.000023336528,0.00014079128,0.00007191736,0.00046706418],"category_scores_gemma":[0.0000490337,0.0001533265,0.00008077679,0.00040523097,0.000020671105,0.00029425058,0.000018813613,0.00022506904,0.000054414988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013473818,0.0002506843,0.0036472974,0.00143798,0.0009639826,0.00017247775,0.00093328074,0.038554903,0.472435,0.001714897,0.13725524,0.3426208],"study_design_scores_gemma":[0.00020607673,0.00003083004,0.000086646774,0.00053739717,0.00012266179,0.00002951693,0.000055120305,0.8930593,0.06966736,0.0021413374,0.033090074,0.0009736772],"about_ca_topic_score_codex":0.000022420953,"about_ca_topic_score_gemma":0.0000062238337,"teacher_disagreement_score":0.8545044,"about_ca_system_score_codex":0.00006321374,"about_ca_system_score_gemma":0.0000011818913,"threshold_uncertainty_score":0.6252473},"labels":[],"label_agreement":null},{"id":"W2125481678","doi":"10.1111/1467-8659.00572","title":"Multiresolution Surfaces having Arbitrary Topologies by a Reverse Doo Subdivision Method","year":2002,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Calgary","funders":"","keywords":"Subdivision; Subdivision surface; Wavelet; Reversing; Biorthogonal system; Biorthogonal wavelet; Vertex (graph theory); Surface (topology); Computer science; Multiresolution analysis; Mathematics; Algorithm; Topology (electrical circuits); Geometry; Wavelet transform; Theoretical computer science; Polygon mesh; Computer vision; Discrete wavelet transform; Combinatorics; Geography","score_opus":0.012516732333218728,"score_gpt":0.24027499190158358,"score_spread":0.22775825956836485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125481678","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016458383,0.0019478214,0.9791543,0.0003094691,0.00019846417,0.00013404716,0.0000114071,0.0015536643,0.00023247126],"genre_scores_gemma":[0.65170276,0.0013320966,0.34629974,0.00044701088,0.0000549915,0.000018896833,0.000026186251,0.000049977174,0.00006833011],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987677,0.000058746926,0.00028573876,0.00030413223,0.00018797773,0.0003957182],"domain_scores_gemma":[0.99935544,0.00014118676,0.00005469491,0.00032953027,0.000038265094,0.00008090886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013947839,0.00023245289,0.00028500002,0.00017794878,0.0001324998,0.000043833974,0.00027128585,0.00014191394,0.000026685097],"category_scores_gemma":[0.000016070144,0.00022194027,0.00016334129,0.00049192575,0.00007855172,0.00030975428,0.00013037137,0.0003095626,0.00001632787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025754269,0.00047757765,0.015464549,0.0002990607,0.0005437855,0.00008596736,0.00081129523,0.03649675,0.021831922,0.02614435,0.517719,0.3801],"study_design_scores_gemma":[0.00012907576,0.00005913559,0.00035513597,0.000033942415,0.000020325973,0.0000058309683,0.000020936963,0.96538454,0.0046766885,0.0048322584,0.024175437,0.00030671395],"about_ca_topic_score_codex":0.000038298,"about_ca_topic_score_gemma":0.000008816385,"teacher_disagreement_score":0.9288878,"about_ca_system_score_codex":0.000044311153,"about_ca_system_score_gemma":0.0000013722866,"threshold_uncertainty_score":0.9050461},"labels":[],"label_agreement":null},{"id":"W2126074791","doi":"10.1109/smi.2008.4547940","title":"A Global Physical Method for Manifold Smoothing","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Discretization; Smoothing; Manifold (fluid mechanics); Computation; Process (computing); Computer science; Heat equation; Heat transfer; Applied mathematics; Conservation law; Mathematical optimization; Mathematics; Topology (electrical circuits); Mathematical analysis; Algorithm; Physics; Mechanical engineering; Mechanics; Engineering","score_opus":0.014379433358953435,"score_gpt":0.30255570737237975,"score_spread":0.2881762740134263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126074791","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005385484,0.000026316216,0.9829494,0.000044217653,0.000020045189,0.00008930612,0.0000038534417,0.0011365269,0.010344853],"genre_scores_gemma":[0.43750086,0.000006655956,0.56214595,0.00008387336,0.00006513856,0.00003137018,0.0000018467732,0.000012605107,0.00015168171],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999527,0.000005961665,0.00009683038,0.00012296156,0.00007991787,0.00016736802],"domain_scores_gemma":[0.9997484,0.0000542098,0.000009796123,0.00012241826,0.000018534982,0.00004664093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003277331,0.00009593539,0.00016627395,0.00001936275,0.000040070932,0.0000052543332,0.00009120988,0.000030374998,0.000014415719],"category_scores_gemma":[0.000017286357,0.00008278157,0.00011528124,0.00018371276,0.000009206566,0.00008620514,0.000017158141,0.000043329455,0.000011217276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007178024,0.00049693015,0.0022148862,0.00028020283,0.00080568175,0.00009241004,0.0008730758,0.16996437,0.061022513,0.29604062,0.08029593,0.38784158],"study_design_scores_gemma":[0.00018775355,0.00004899322,0.00036899603,0.0000052348923,0.000033982353,0.000023886527,0.000017604169,0.91380835,0.026909988,0.03297308,0.025321767,0.000300376],"about_ca_topic_score_codex":0.000015818316,"about_ca_topic_score_gemma":0.0000039626093,"teacher_disagreement_score":0.743844,"about_ca_system_score_codex":0.000058375954,"about_ca_system_score_gemma":0.0000026646335,"threshold_uncertainty_score":0.33757344},"labels":[],"label_agreement":null},{"id":"W2126538441","doi":"10.1109/tvcg.2007.70429","title":"Practical Box Splines for Reconstruction on the Body Centered Cubic Lattice","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Box spline; Lattice (music); Piecewise; Spline (mechanical); Tensor product; Cartesian coordinate system; Mathematics; Computer science; Algorithm; Geometry; Mathematical analysis; Spline interpolation; Pure mathematics; Physics; Computer vision","score_opus":0.03755293155402086,"score_gpt":0.3029561316536796,"score_spread":0.26540320009965873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126538441","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020624124,0.000010548207,0.9782739,0.0001418461,0.00028203177,0.00023267706,0.000009382561,0.00039493767,0.000030524167],"genre_scores_gemma":[0.99073315,0.00078030804,0.0076749646,0.0005839479,0.00008572952,0.0000697259,0.000008234556,0.000032449032,0.000031485306],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993001,0.00004223364,0.00021481843,0.00018591064,0.00012600189,0.00013090031],"domain_scores_gemma":[0.99945486,0.00022079017,0.000040568728,0.00015091781,0.00008017489,0.000052708157],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000066968394,0.0001462104,0.00014239567,0.0001563131,0.000287217,0.000029544013,0.00005572358,0.00007877403,0.000011718787],"category_scores_gemma":[0.0000049902815,0.00011750297,0.00009092355,0.00035542977,0.0000822365,0.00014599563,7.913824e-7,0.00015970862,0.0000034147588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046350618,0.0016345603,0.00033286048,0.0003298703,0.0010502494,0.000015903759,0.0013659096,0.03937688,0.0014355534,0.89345396,0.009169994,0.05137078],"study_design_scores_gemma":[0.0002377269,0.00017168748,0.00007852299,0.000030529558,0.00004564426,0.000044820685,0.000019749454,0.98456293,0.011605985,0.0008918274,0.0021469628,0.00016363472],"about_ca_topic_score_codex":0.0000018969711,"about_ca_topic_score_gemma":0.0000036605381,"teacher_disagreement_score":0.97059894,"about_ca_system_score_codex":0.000019923318,"about_ca_system_score_gemma":0.000006756685,"threshold_uncertainty_score":0.4791632},"labels":[],"label_agreement":null},{"id":"W2127312575","doi":"10.1007/978-3-540-24767-8_26","title":"Reverse Subdivision Multiresolution for Polygonal Silhouette Error Correction","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Silhouette; Subdivision; Polygon mesh; Computer science; Computer graphics (images); Multiresolution analysis; Ribbon; Chaining; Artifact (error); Computer vision; Backward chaining; Object (grammar); Artificial intelligence; Algorithm; Geometry; Mathematics; Wavelet","score_opus":0.012844936841818595,"score_gpt":0.2536795068239025,"score_spread":0.2408345699820839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127312575","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008154777,0.00020678311,0.99706537,0.000109121895,0.0013161079,0.00037500277,0.000009591943,0.00047968797,0.0003568192],"genre_scores_gemma":[0.3982187,0.00010750405,0.599897,0.0004991481,0.0007164221,0.000040451698,0.00004778409,0.000112536974,0.00036046244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982397,0.000006412012,0.00034056656,0.00062811637,0.00040009638,0.00038514056],"domain_scores_gemma":[0.99914473,0.00017626214,0.00010217459,0.0003763854,0.000114996794,0.000085452964],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021473801,0.00035402877,0.0003630231,0.00049050356,0.0001336107,0.00005442049,0.00042745934,0.00027216895,0.000021038926],"category_scores_gemma":[0.00007584895,0.00034363742,0.0001556172,0.00030922864,0.00025093852,0.00023622646,0.000112843525,0.00049207907,0.000013138923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009795035,0.000009571139,0.0000064576825,0.000035662073,0.00000861585,0.0000052999785,0.00006083915,0.57597834,0.0012057459,0.00039084142,0.00008831399,0.4222005],"study_design_scores_gemma":[0.0001719664,0.00010220726,0.000045490204,0.00031933544,0.000018936937,0.0000102052845,7.876504e-8,0.9325477,0.007313987,0.05681423,0.0022125174,0.00044336257],"about_ca_topic_score_codex":0.000021421545,"about_ca_topic_score_gemma":0.000052840274,"teacher_disagreement_score":0.42175713,"about_ca_system_score_codex":0.0007698384,"about_ca_system_score_gemma":0.0000638128,"threshold_uncertainty_score":0.9999016},"labels":[],"label_agreement":null},{"id":"W2129142393","doi":"10.4271/2013-01-2095","title":"Optimization of an Unmanned Aerial System' Wing Using a Flexible Skin Morphing Wing","year":2013,"lang":"en","type":"article","venue":"SAE International Journal of Aerospace","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Department of Health and Social Care; National Institute for Health and Care Research","keywords":"Morphing; Wing; Aerospace engineering; Computer science; Aeronautics; Engineering; Artificial intelligence","score_opus":0.009763782033869852,"score_gpt":0.2608363898296536,"score_spread":0.2510726077957838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129142393","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5089085,0.00007142554,0.49022332,0.00005245893,0.00041676784,0.00006614934,0.0000023512039,0.000087372435,0.00017162472],"genre_scores_gemma":[0.7805329,0.000024084953,0.21903269,0.000013728787,0.00035202564,0.0000019986535,0.0000035507587,0.000029059052,0.000009950427],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857837,0.000038806767,0.0006192408,0.00010899259,0.0004914957,0.00016309705],"domain_scores_gemma":[0.99875146,0.0000443004,0.0004139477,0.00012262289,0.00057813403,0.000089526824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021931065,0.00014852754,0.00031021825,0.00028917092,0.000037755697,0.00008814876,0.00037108414,0.00006708668,0.000055242373],"category_scores_gemma":[0.00007067812,0.00014272353,0.0001409973,0.00022392206,0.00003217434,0.0012754251,0.0000481815,0.00018322328,0.0000027753204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001877038,0.000021384485,0.00013267093,0.000019422954,0.00013339141,0.0000089404875,0.00014406248,0.8439495,0.15451956,0.00009291156,0.000044368462,0.0009150074],"study_design_scores_gemma":[0.0005496463,0.0000929424,0.0004955332,0.00052714057,0.000060046215,0.00015370884,0.0005734626,0.90773827,0.089267425,0.0002621025,0.00007010465,0.00020964158],"about_ca_topic_score_codex":0.00009959897,"about_ca_topic_score_gemma":0.000003585352,"teacher_disagreement_score":0.2716244,"about_ca_system_score_codex":0.00032151293,"about_ca_system_score_gemma":0.000024530695,"threshold_uncertainty_score":0.5820096},"labels":[],"label_agreement":null},{"id":"W2130373895","doi":"10.1007/s00366-007-0057-y","title":"CAD-based sampling for CMM inspection of models with sculptured features","year":2007,"lang":"en","type":"article","venue":"Engineering With Computers","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Ontario Centres of Excellence","keywords":"Quadrilateral; Geometry; Surface (topology); Sampling (signal processing); Boundary (topology); Curvature; CAD; Mathematics; Representation (politics); Computational geometry; Boundary representation; Sample (material); Geometric modeling; Algorithm; Engineering drawing; Computer science; Finite element method; Mathematical analysis; Computer vision; Engineering; Structural engineering","score_opus":0.007423308041506974,"score_gpt":0.21233699729058522,"score_spread":0.20491368924907824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130373895","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022871207,0.00010676003,0.9753983,0.000011943862,0.00008881754,0.0002128365,0.0000038810363,0.0012613982,0.000044876848],"genre_scores_gemma":[0.5583725,0.0000016268297,0.44151995,0.0000101338155,0.000036099354,0.000012967247,0.0000072633857,0.000037565555,0.0000019059453],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920803,0.0000023501389,0.00018621472,0.0001789729,0.00016258097,0.00026182688],"domain_scores_gemma":[0.9995019,0.00013127468,0.000041653275,0.00018517289,0.00006996653,0.00007003135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009352746,0.0002021808,0.00025759265,0.00022626418,0.00002795223,0.000013068212,0.00011504915,0.000060723607,4.0489553e-7],"category_scores_gemma":[0.000007982194,0.00016663801,0.000062113955,0.00039770495,0.000023982211,0.00012100303,0.000008449854,0.00014936647,1.4201612e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046730915,0.000011674796,0.000037580627,0.00010999108,0.000078458055,0.0000019121446,0.00006694739,0.99267435,0.004951631,0.00047718,0.000049297803,0.0014942382],"study_design_scores_gemma":[0.00041824626,0.0001612163,0.0007192019,0.00017839929,0.00003471877,0.000005867952,0.0000116922365,0.9471336,0.050676864,0.000055503922,0.00033840374,0.00026627863],"about_ca_topic_score_codex":0.000009415523,"about_ca_topic_score_gemma":0.000009651663,"teacher_disagreement_score":0.5355013,"about_ca_system_score_codex":0.00009175601,"about_ca_system_score_gemma":0.000008007555,"threshold_uncertainty_score":0.6795301},"labels":[],"label_agreement":null},{"id":"W2131036456","doi":"10.1115/gt2009-60148","title":"Improved Compressor Maps Using Approximate Solutions to the Moore-Greitzer Model","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Extrapolation; Interpolation (computer graphics); Computer science; Gas compressor; Smoothing; Process (computing); Embedding; Data collection; Algorithm; Mathematical optimization; Data mining; Artificial intelligence; Mathematics; Statistics; Computer vision; Engineering","score_opus":0.026208316436695057,"score_gpt":0.2640677580637568,"score_spread":0.23785944162706177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131036456","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002818499,0.000084814834,0.9926496,0.0005836606,0.00002021033,0.00021597111,0.000008847083,0.00094197545,0.0026763869],"genre_scores_gemma":[0.72774416,0.000012640289,0.27142924,0.00051886507,0.000033768716,0.00002030139,0.0000040910672,0.000019323266,0.00021762114],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992209,0.000009076461,0.00018706861,0.00015837145,0.00010546361,0.0003190925],"domain_scores_gemma":[0.9995082,0.000013400588,0.000017470866,0.00034551672,0.00003603692,0.00007939738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000067998575,0.00014447738,0.00016405853,0.00006229547,0.00011923253,0.000030453863,0.00022550716,0.000043857344,0.000016825406],"category_scores_gemma":[0.0000111020745,0.00009906006,0.00007806443,0.00029216908,0.000018892237,0.00012358058,0.000051155734,0.0001316872,0.000011405092],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025033398,0.000015120611,8.935015e-7,0.0000036067715,0.000013844571,2.9670093e-7,0.000038698865,0.8895358,0.10401912,0.0014424364,0.0014796043,0.003448076],"study_design_scores_gemma":[0.000049214585,0.000012040584,0.000008295545,0.0000048631778,0.00001968777,0.0000014467599,0.000012490217,0.98196524,0.011798504,0.0050709047,0.0009061886,0.00015112649],"about_ca_topic_score_codex":0.00001717704,"about_ca_topic_score_gemma":0.000008186706,"teacher_disagreement_score":0.72492564,"about_ca_system_score_codex":0.000063749554,"about_ca_system_score_gemma":0.000004302864,"threshold_uncertainty_score":0.40395522},"labels":[],"label_agreement":null},{"id":"W2131755625","doi":"10.1115/1.3039518","title":"An Intelligent Approach to Multiple Cutters of Maximum Sizes for Three-Axis Milling of Sculptured Surface Parts","year":2008,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Machining; Interference (communication); Milling cutter; Process (computing); Surface (topology); Cutter location; Engineering drawing; Computer science; Mechanical engineering; Tool path; Engineering; Geometry; Mathematics","score_opus":0.017816158170957,"score_gpt":0.2328083710965671,"score_spread":0.2149922129256101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131755625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5755809,0.00013249145,0.42410997,0.000008100807,0.00005502069,0.00007708569,0.0000016294715,0.000027619186,0.000007172773],"genre_scores_gemma":[0.8432026,0.00008243271,0.15665731,0.0000058388,0.0000318859,0.000002447293,3.2742543e-7,0.000016243155,9.43898e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99873817,0.0000043096366,0.00046635326,0.00015470748,0.00037170862,0.00026473092],"domain_scores_gemma":[0.9993116,0.000080959755,0.00012016398,0.00016576449,0.0001487033,0.00017276518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046387257,0.00015412358,0.00037756687,0.00029832634,0.000062970554,0.000015593514,0.00032171857,0.00004010897,7.769156e-7],"category_scores_gemma":[0.00010738859,0.0001307708,0.000096065596,0.00028264392,0.00009691161,0.00039874914,0.000032014053,0.00013416364,1.0192205e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013776519,0.000021131345,0.00023038623,0.000100019744,0.00002325262,0.0000012493005,0.0003854476,0.82626253,0.16969177,0.0000047537496,0.000008415659,0.003257247],"study_design_scores_gemma":[0.00011487894,0.00014640398,0.0017753695,0.00007238601,0.00001630964,0.000023128725,0.00007970179,0.2510233,0.74638414,0.000058654296,0.00016852623,0.00013720787],"about_ca_topic_score_codex":0.000008219212,"about_ca_topic_score_gemma":0.0000011204133,"teacher_disagreement_score":0.57669234,"about_ca_system_score_codex":0.00006503635,"about_ca_system_score_gemma":0.000017670924,"threshold_uncertainty_score":0.53326786},"labels":[],"label_agreement":null},{"id":"W2132048063","doi":"10.1142/s0218195900000346","title":"EQUIVALENCE OF TOPOLOGICAL FORM FOR CURVILINEAR GEOMETRIC OBJECTS","year":2000,"lang":"en","type":"article","venue":"International Journal of Computational Geometry & Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Curvilinear coordinates; Mathematics; Parametric surface; Surface (topology); Boundary (topology); Topology (electrical circuits); Object (grammar); Geometric modeling; Equivalence (formal languages); Geometry; Pure mathematics; Parametric statistics; Computer science; Mathematical analysis; Combinatorics; Artificial intelligence","score_opus":0.011739093172455294,"score_gpt":0.30373041615598373,"score_spread":0.2919913229835284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132048063","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033054765,0.00054596807,0.9646639,0.00015816893,0.0000843626,0.00025396093,0.00008683478,0.000069363596,0.0010826304],"genre_scores_gemma":[0.8592188,0.0002853319,0.13990247,0.00006830887,0.00031445266,0.00007879189,0.000046116347,0.000016341231,0.00006941117],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983359,0.0000126384,0.0007781754,0.0001353002,0.00058390276,0.00015408962],"domain_scores_gemma":[0.9979775,0.0005555605,0.0002589322,0.00011342494,0.0010063521,0.00008824329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021636428,0.00013549875,0.00028360522,0.00068272406,0.000043091466,0.00002436734,0.0005963269,0.000066647444,0.00037221596],"category_scores_gemma":[0.00007363965,0.00012722364,0.0002504938,0.00096091523,0.000088979,0.0002419015,0.000027607184,0.00016538028,0.000018147211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060885617,0.0002663145,0.00060981466,0.000044070748,0.00034395955,0.0000028585698,0.000031334326,0.7124326,0.0004909136,0.007166524,0.0004155577,0.27813515],"study_design_scores_gemma":[0.0030189767,0.0009090102,0.012884765,0.00017968605,0.00031599094,0.00045637268,0.00018190798,0.18436356,0.016574718,0.55523616,0.22476664,0.0011122037],"about_ca_topic_score_codex":0.0000014978398,"about_ca_topic_score_gemma":3.5399938e-7,"teacher_disagreement_score":0.826164,"about_ca_system_score_codex":0.0001112701,"about_ca_system_score_gemma":0.000039750772,"threshold_uncertainty_score":0.51880294},"labels":[],"label_agreement":null},{"id":"W2136999558","doi":"10.4028/www.scientific.net/amm.55-57.47","title":"Engineering Graphic Transition in Third-Angle and First-Angle Projection","year":2011,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Projection (relational algebra); Graphics; Computer graphics (images); Engineering drawing; Transition (genetics); Contact angle; Computer science; Engineering; Algorithm; Chemistry","score_opus":0.009291882803559522,"score_gpt":0.18047966103999447,"score_spread":0.17118777823643494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136999558","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39435276,0.0001167941,0.6041213,0.00001312452,0.00010632814,0.00038736316,0.000009675191,0.0005055685,0.00038705548],"genre_scores_gemma":[0.98201555,0.0004535056,0.01734256,0.000016619751,0.000019857298,0.000119250784,0.0000066644056,0.000024170566,0.0000018493685],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994814,0.000005613164,0.00017021107,0.00015342774,0.000047881047,0.0001414877],"domain_scores_gemma":[0.99984705,0.00000965176,0.000020458656,0.00008210283,0.0000069845305,0.00003374347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014829083,0.00011985492,0.00019049492,0.00011777696,0.000027895301,0.000016673472,0.000033506458,0.000079574114,0.000018012584],"category_scores_gemma":[0.0000036009114,0.00011855435,0.000013638199,0.0001342436,0.000004979289,0.0000790862,0.00001635325,0.000051773823,0.0000019049662],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033684497,0.000037584865,0.0000034713755,0.00026361214,0.00003563011,0.000004942375,0.0010895983,0.0001693505,0.86111474,0.1340614,0.000022188477,0.0031637847],"study_design_scores_gemma":[0.0004723337,0.00008245396,0.0002268638,0.00006820318,0.00006080424,0.000012662607,0.00018136427,0.013989356,0.8690744,0.114697866,0.00063084863,0.00050281436],"about_ca_topic_score_codex":0.000035824374,"about_ca_topic_score_gemma":0.000017898106,"teacher_disagreement_score":0.58766276,"about_ca_system_score_codex":0.000015231468,"about_ca_system_score_gemma":0.0000012392878,"threshold_uncertainty_score":0.4834506},"labels":[],"label_agreement":null},{"id":"W2137511289","doi":"10.1145/376957.376992","title":"The swept surface of an elliptic cylinder","year":2001,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Surface of revolution; Cylinder; Ellipse; Geometry; Surface (topology); Mathematics; Mathematical analysis; Point (geometry); Plane (geometry); Physics","score_opus":0.006850394180016816,"score_gpt":0.23706582306095525,"score_spread":0.23021542888093843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137511289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5514807,0.00045122232,0.41624686,0.000101637685,0.000035781475,0.00008243791,5.431937e-7,0.0007454032,0.030855382],"genre_scores_gemma":[0.9830923,0.00023136173,0.01583192,0.000025134303,0.000013170353,0.0000018569926,8.104904e-7,0.000012670024,0.0007907949],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960786,0.000008469558,0.00012392561,0.00006162887,0.00008249719,0.00011561716],"domain_scores_gemma":[0.99967116,0.00004797835,0.00001267667,0.00021508338,0.000021353053,0.00003175102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000055070654,0.000059316273,0.0000857765,0.000011945432,0.000026208223,0.000006903489,0.00012417391,0.000024557488,0.00009651947],"category_scores_gemma":[0.000008177957,0.00003710607,0.000034390592,0.00017500874,0.000029891,0.000071904964,0.00001117565,0.000058618323,0.000022877577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002701705,0.00012788484,0.0021658745,0.00002804051,0.00019342708,0.000012279476,0.00017257158,0.7086832,0.10746781,0.0088208355,0.0024751103,0.16982596],"study_design_scores_gemma":[0.00017041339,0.00009055612,0.0016210757,0.000008520537,0.000034748726,0.000008185139,0.00020017105,0.6757044,0.23856083,0.010575277,0.07268478,0.0003410008],"about_ca_topic_score_codex":0.000012067827,"about_ca_topic_score_gemma":0.00002048938,"teacher_disagreement_score":0.43161154,"about_ca_system_score_codex":0.000012933946,"about_ca_system_score_gemma":0.0000015520699,"threshold_uncertainty_score":0.15131417},"labels":[],"label_agreement":null},{"id":"W2137791572","doi":"","title":"High-order finite elements on pyramids I: approximation spaces.","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Mathematics; Sobolev space; Pyramid (geometry); Computability; Order (exchange); Polynomial; Hexahedron; Pure mathematics; Sequence (biology); Boundary (topology); Algebra over a field; Finite element method; Mathematical analysis; Discrete mathematics; Geometry","score_opus":0.005525675923086193,"score_gpt":0.23041285583403748,"score_spread":0.22488717991095128,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137791572","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07443532,0.000006731232,0.8991316,0.00026742456,0.00020049568,0.00017084886,0.0000035440767,0.0019452554,0.02383877],"genre_scores_gemma":[0.8217669,0.0000109339435,0.17736824,0.000112406626,0.000051809515,0.000027480892,0.000018708108,0.000022638504,0.0006208784],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994229,0.0000043534415,0.00015581955,0.00012644737,0.00013620837,0.00015426884],"domain_scores_gemma":[0.99965376,0.000026082593,0.00002149264,0.00022242131,0.000030670748,0.000045560173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000051651463,0.00011387212,0.00011528438,0.00008268775,0.000026714073,0.000022878456,0.000097518285,0.00006143476,0.0004849605],"category_scores_gemma":[0.000037941736,0.000096187454,0.00003171873,0.00024868967,0.000026809748,0.00011732872,0.000017067949,0.00020210269,0.00017615042],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001635395,0.00029443152,0.0011267356,0.00009079251,0.00020825438,0.0000069070343,0.0001313302,0.1312664,0.37548497,0.13347411,0.0076471176,0.35025257],"study_design_scores_gemma":[0.0004078524,0.0001277894,0.00081118185,0.000015176272,0.00003201713,7.863747e-7,0.00002571614,0.51080793,0.38066474,0.025987364,0.08049515,0.000624325],"about_ca_topic_score_codex":0.000011047761,"about_ca_topic_score_gemma":0.000017907245,"teacher_disagreement_score":0.74733156,"about_ca_system_score_codex":0.000020672687,"about_ca_system_score_gemma":0.000001932797,"threshold_uncertainty_score":0.53099775},"labels":[],"label_agreement":null},{"id":"W2138483787","doi":"10.1109/iccsa.2008.65","title":"A Discrete Approach to Multiresolution Curves and Surfaces","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Subdivision; Biorthogonal wavelet; Subdivision surface; Biorthogonal system; Representation (politics); Multiresolution analysis; Computer science; Constraint (computer-aided design); Wavelet; Simple (philosophy); Ambisonics; Basis (linear algebra); Surface (topology); Algorithm; Topology (electrical circuits); Mathematics; Theoretical computer science; Wavelet transform; Artificial intelligence; Geometry; Discrete wavelet transform","score_opus":0.014194911581870475,"score_gpt":0.22742442440149385,"score_spread":0.21322951281962338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138483787","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11493541,0.0012697245,0.86726177,0.00010466424,0.000009610401,0.00015397994,0.0000023146627,0.0010463935,0.015216117],"genre_scores_gemma":[0.87613106,0.0007305135,0.12275098,0.000072427676,0.000008554066,0.00001827149,0.0000032864016,0.000009858252,0.00027505498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963236,0.000006088661,0.00008131616,0.00010586997,0.00006835655,0.00010600927],"domain_scores_gemma":[0.9998241,0.000012294064,0.000005459256,0.00008928083,0.000009778367,0.00005908563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000025322193,0.000071517665,0.00010549331,0.000033601304,0.00003305062,0.0000036408194,0.000044288743,0.000019251438,0.000005032056],"category_scores_gemma":[0.0000137529705,0.00005751867,0.000018932633,0.00015477031,0.000025587093,0.00008817314,0.000022521961,0.00004180909,0.000005947324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006889842,0.00046621187,0.041986313,0.0017506218,0.00056858826,0.00003356721,0.0037015795,0.5403785,0.17736897,0.0060290857,0.14485425,0.082793415],"study_design_scores_gemma":[0.00020507428,0.00006901731,0.028290695,0.000070541726,0.000029165472,0.00003178094,0.000087517794,0.9296311,0.024673712,0.00036627808,0.015852602,0.00069248595],"about_ca_topic_score_codex":0.00002982562,"about_ca_topic_score_gemma":0.00000336473,"teacher_disagreement_score":0.76119566,"about_ca_system_score_codex":0.000012904589,"about_ca_system_score_gemma":9.156452e-7,"threshold_uncertainty_score":0.23455434},"labels":[],"label_agreement":null},{"id":"W2140517303","doi":"10.1109/sma.1997.634880","title":"Towards a generic editor for subdivision surfaces","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Centre For Cold Ocean Resources Engineering","funders":"","keywords":"Subdivision; Subdivision surface; Polygon mesh; Computer science; Surface (topology); Smoothness; Process (computing); Theoretical computer science; Algorithm; Computer graphics (images); Computational science; Mathematics; Programming language; Geometry; Engineering; Mathematical analysis","score_opus":0.01661050935472362,"score_gpt":0.24017479726936178,"score_spread":0.22356428791463817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140517303","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0112491455,0.00058108603,0.9791787,0.00011984564,0.000561538,0.00015604954,0.0000060480675,0.0015932498,0.0065542883],"genre_scores_gemma":[0.8312988,0.00031282345,0.16584617,0.00007779231,0.0010862106,0.000069947935,0.000005672928,0.000039154125,0.0012634085],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949974,0.000003649795,0.00012230799,0.00011415913,0.00009670778,0.00016345663],"domain_scores_gemma":[0.9997534,0.000029470508,0.000011091839,0.00012994149,0.000028134225,0.000047935082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000033637385,0.00009535419,0.00013307472,0.000042991367,0.000027167978,0.000013806654,0.00009709165,0.000043964523,0.00033814905],"category_scores_gemma":[0.0000207613,0.00007737728,0.00007029517,0.00017227845,0.000012014645,0.00009844426,0.000015151792,0.000042593067,0.000047292262],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042638794,0.000068597736,0.00013454765,0.00007432879,0.00007434572,0.0000017292778,0.00007603035,0.018570205,0.026917856,0.0006939241,0.7214928,0.23189135],"study_design_scores_gemma":[0.0000830353,0.000042587435,0.00006591618,0.0000036589513,0.000011819178,4.81282e-7,0.000007544641,0.7036206,0.03745266,0.00084262626,0.257696,0.00017307122],"about_ca_topic_score_codex":0.0000051369775,"about_ca_topic_score_gemma":0.0000023328714,"teacher_disagreement_score":0.8200497,"about_ca_system_score_codex":0.000030820003,"about_ca_system_score_gemma":7.659475e-7,"threshold_uncertainty_score":0.3702495},"labels":[],"label_agreement":null},{"id":"W2140794044","doi":"10.1007/s10973-006-7702-3","title":"Constructing a self-consistent integral baseline by using cubic splines","year":2007,"lang":"en","type":"article","venue":"Journal of Thermal Analysis and Calorimetry","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Materials science; Baseline (sea); Mathematics; Geology","score_opus":0.006862118049825631,"score_gpt":0.24793000899600018,"score_spread":0.24106789094617453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140794044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6553961,0.0017625325,0.3425672,0.000020445732,0.00006093102,0.000019818346,0.0000040097316,0.000051425082,0.000117546566],"genre_scores_gemma":[0.9421881,0.00012989018,0.05740406,0.000046169658,0.00019591261,2.2668377e-7,0.0000031937059,0.000018752327,0.000013714814],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984953,0.000040737606,0.00080482266,0.00013382331,0.00027427357,0.0002510855],"domain_scores_gemma":[0.9990628,0.00014541324,0.00030492418,0.00013067908,0.00017637551,0.00017983654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084701437,0.00019939954,0.0006511861,0.0005813872,0.000060822516,0.000037507194,0.00014035977,0.00008536314,0.00004952923],"category_scores_gemma":[0.00006292832,0.0001497591,0.00047036915,0.0012280358,0.000059733437,0.00019038851,0.000033501365,0.0003400409,7.6681164e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017610958,0.00033887423,0.22260152,0.0001352389,0.016095983,0.0002202254,0.00023863038,0.017090116,0.42978305,0.00015817994,0.00042871194,0.31273338],"study_design_scores_gemma":[0.0014349337,0.00032940874,0.005838839,0.00017817087,0.01724989,0.00053665315,0.0028442785,0.5598432,0.40665588,0.00043048352,0.0031256469,0.0015326403],"about_ca_topic_score_codex":0.000042490814,"about_ca_topic_score_gemma":0.000013454252,"teacher_disagreement_score":0.54275304,"about_ca_system_score_codex":0.00013281927,"about_ca_system_score_gemma":0.00001034571,"threshold_uncertainty_score":0.6106999},"labels":[],"label_agreement":null},{"id":"W2140831007","doi":"10.1109/isbi.2004.1398529","title":"A virtual reality based 3D real-time interactive brachytherapy simulation of needle insertion and seed implantation","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Haptic technology; Brachytherapy; Computer science; Virtual reality; Rendering (computer graphics); Prostate brachytherapy; Simulation; Software; Computer graphics (images); Artificial intelligence; Surgery; Radiation therapy; Medicine","score_opus":0.008337934171246775,"score_gpt":0.27584277585125583,"score_spread":0.26750484168000904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140831007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5037804,0.000005196311,0.49495304,0.000032823933,0.000005535912,0.00008675928,0.000004808479,0.0002720589,0.00085934886],"genre_scores_gemma":[0.986473,0.000025800651,0.013341719,0.000041791383,0.000022279917,0.000007910056,0.000040512314,0.00001343066,0.000033524546],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946296,0.000029348752,0.00022552404,0.00011097122,0.000089599074,0.000081574726],"domain_scores_gemma":[0.9996197,0.00013992237,0.00005803737,0.00009987242,0.0000516994,0.000030729567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000073962125,0.00009192712,0.00015529963,0.000095725125,0.000018645445,0.000007915543,0.00002956389,0.00004849411,0.00006026231],"category_scores_gemma":[0.000018080931,0.00008604492,0.00003030309,0.00016359537,0.000018152983,0.0003370488,0.0000063491825,0.00005654792,0.0000050830918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007536815,0.000025906493,0.0001618371,0.000007769245,0.000019352792,1.5529695e-7,0.00014302487,0.8065256,0.14819977,0.000025040928,0.000012338492,0.04480386],"study_design_scores_gemma":[0.00021100382,0.00007089761,0.007849404,0.000010365401,0.000012306757,5.483298e-7,0.000024578918,0.93622756,0.055309884,0.00012098157,0.0000742579,0.0000882416],"about_ca_topic_score_codex":0.00012305619,"about_ca_topic_score_gemma":0.000030599524,"teacher_disagreement_score":0.4826926,"about_ca_system_score_codex":0.000065694,"about_ca_system_score_gemma":0.000003899823,"threshold_uncertainty_score":0.350881},"labels":[],"label_agreement":null},{"id":"W2145484932","doi":"10.1016/s0377-0427(00)00646-4","title":"Birkhoff interpolation on nonuniformly distributed roots of unity II","year":2001,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Interpolation (computer graphics); Root of unity; Mathematical analysis; Geometry; Classical mechanics; Motion (physics)","score_opus":0.009495732121665424,"score_gpt":0.23986041289619936,"score_spread":0.23036468077453393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145484932","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35097185,0.0000142195395,0.6480853,0.00003738169,0.000011477384,0.000034351593,0.000004982556,0.00002319206,0.00081721856],"genre_scores_gemma":[0.8722706,0.000020848298,0.12764682,0.000015118724,0.000025959558,8.698398e-7,0.000006927135,0.0000075600847,0.000005294886],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929136,0.000003573591,0.0004103482,0.000036883874,0.00019511084,0.0000626962],"domain_scores_gemma":[0.9994662,0.0001300872,0.0002129074,0.00004468364,0.000102697064,0.000043418564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000102323844,0.0000827443,0.0002226079,0.000104859144,0.00003418582,0.0000075947187,0.00006522883,0.000030531337,0.000011411663],"category_scores_gemma":[0.000018781113,0.00006538539,0.00004626345,0.00017703934,0.000027212098,0.000062865234,0.000017212064,0.000114961615,0.0000010634128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006585849,0.0003837347,0.000087582746,0.00018563429,0.00017315407,0.0000046269456,0.0003416533,0.9105675,0.0080815395,0.060012937,0.00049462524,0.019601155],"study_design_scores_gemma":[0.00055041915,0.0002626569,0.002365104,0.00017437644,0.00007061031,0.000079052326,0.00017732808,0.56229365,0.0053352145,0.42750344,0.0009921963,0.00019592661],"about_ca_topic_score_codex":1.824824e-7,"about_ca_topic_score_gemma":2.064617e-7,"teacher_disagreement_score":0.52129877,"about_ca_system_score_codex":0.000022040878,"about_ca_system_score_gemma":0.0000070231445,"threshold_uncertainty_score":0.2666339},"labels":[],"label_agreement":null},{"id":"W2146228093","doi":"10.1007/s00607-005-0141-3","title":"Adaptive Techniques for Spline Collocation","year":2005,"lang":"en","type":"article","venue":"Computing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Piecewise; Mathematics; Collocation method; Estimator; Hermite spline; Collocation (remote sensing); Spline (mechanical); Applied mathematics; Grid; Boundary value problem; Quadratic equation; Mathematical optimization; Smoothing spline; Algorithm; Mathematical analysis; Spline interpolation; Computer science; Geometry; Differential equation; Bilinear interpolation; Ordinary differential equation","score_opus":0.011937958552365622,"score_gpt":0.26677117930548816,"score_spread":0.25483322075312254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146228093","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003667513,0.0001369067,0.9929517,0.000076664466,0.000022438908,0.00018613202,0.0000014938457,0.001523241,0.001433943],"genre_scores_gemma":[0.5803094,0.000005629839,0.41941175,0.000042723965,0.00017167412,0.000014459699,0.000004276368,0.000014123211,0.000025985997],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953175,0.000004704268,0.00016158976,0.000109857334,0.000051800525,0.00014028147],"domain_scores_gemma":[0.99972576,0.00006355395,0.000028267697,0.00010280624,0.00005272206,0.000026915168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008323036,0.000084593725,0.00012107222,0.000055536108,0.000050461527,0.000009797527,0.000084595646,0.000036721016,0.0000039551264],"category_scores_gemma":[0.000023195627,0.00008736932,0.000046397618,0.00016283916,0.000013359276,0.00007180166,0.000021080985,0.00006428529,0.0000066190464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000043040495,0.000016600412,0.000034987064,0.000019245928,0.00002151095,2.3745103e-7,0.00006611581,0.065527506,0.008539497,0.0012173338,0.0018577111,0.9226949],"study_design_scores_gemma":[0.000049718536,0.000026428635,0.00003910975,0.000021383126,0.0000088344805,9.709528e-7,0.000012102013,0.8739491,0.10298624,0.0009117757,0.021877835,0.00011651269],"about_ca_topic_score_codex":0.0000011597833,"about_ca_topic_score_gemma":0.0000019754507,"teacher_disagreement_score":0.92257845,"about_ca_system_score_codex":0.000086390944,"about_ca_system_score_gemma":0.0000032081605,"threshold_uncertainty_score":0.35628176},"labels":[],"label_agreement":null},{"id":"W2146884441","doi":"10.1109/pacrim.1991.160812","title":"Real-time hidden surface removal in a flight simulator","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Span (engineering); Pipeline (software); Pairwise comparison; Computer science; Sorting; Surface (topology); Graph; Linear span; Rectangle; Artificial intelligence; Pixel; Order (exchange); Image (mathematics); Algorithm; Computer vision; Theoretical computer science; Combinatorics; Mathematics; Geometry; Programming language","score_opus":0.00828413126395159,"score_gpt":0.2224412480979854,"score_spread":0.21415711683403382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146884441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7900126,0.00027287102,0.012266409,0.0002132462,0.00003724676,0.00019736966,0.0000025958923,0.0032759276,0.19372174],"genre_scores_gemma":[0.9190034,0.00019811257,0.07364382,0.000029916459,0.000026850503,0.0000036741596,0.000001897806,0.00003663128,0.0070556514],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992966,0.000012907493,0.0002023268,0.00015332251,0.000116352916,0.0002184669],"domain_scores_gemma":[0.9996362,0.00005040417,0.000012856303,0.00022678603,0.00001290702,0.000060881033],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004626271,0.00012321635,0.0002076996,0.00006538121,0.00001283383,0.000010254188,0.00011817048,0.00006283405,0.0015531343],"category_scores_gemma":[0.000016896438,0.000111467765,0.00005319838,0.00039621245,0.00001443048,0.0001218015,0.000024378967,0.000100943056,0.0006075408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015383868,0.00022905902,0.001759128,0.00006865872,0.00013422652,0.0004161948,0.0004643497,0.4316485,0.486078,0.0013446388,0.037193652,0.040648215],"study_design_scores_gemma":[0.00013909956,0.000015119369,0.00015720382,0.000011034104,0.000007090246,0.0000051790316,0.000006717766,0.9656505,0.02184818,0.0006010647,0.011316002,0.00024283862],"about_ca_topic_score_codex":0.00003858581,"about_ca_topic_score_gemma":0.000008157779,"teacher_disagreement_score":0.534002,"about_ca_system_score_codex":0.00008558331,"about_ca_system_score_gemma":0.0000010561658,"threshold_uncertainty_score":0.9993596},"labels":[],"label_agreement":null},{"id":"W2149041248","doi":"10.1142/s0218195909003015","title":"FLOATING-POINT ARITHMETIC FOR COMPUTATIONAL GEOMETRY PROBLEMS WITH UNCERTAIN DATA","year":2009,"lang":"en","type":"article","venue":"International Journal of Computational Geometry & Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; Université de Montréal","funders":"","keywords":"Computational geometry; Context (archaeology); Mathematics; Convex hull; Computation; Algorithm; Interval arithmetic; Point (geometry); Mathematical optimization; Convex geometry; Regular polygon; Simple (philosophy); Computer science; Convex analysis; Convex optimization; Geometry","score_opus":0.018759480653945084,"score_gpt":0.30742302886094525,"score_spread":0.2886635482070002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149041248","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022294535,0.00047635206,0.99445695,0.0014275623,0.00009697613,0.00055930566,0.00026761918,0.00017359904,0.0003121904],"genre_scores_gemma":[0.5302346,0.000040983465,0.46800604,0.00034200252,0.00046151402,0.00006141141,0.0007945533,0.000032263033,0.000026651027],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99730754,0.0000267064,0.0010043287,0.00034098275,0.0010606888,0.0002597276],"domain_scores_gemma":[0.99656665,0.0006599324,0.0005081392,0.0003125353,0.0017884434,0.00016432363],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004525017,0.00027150605,0.00039308888,0.00089774246,0.00012266764,0.00014046067,0.0013109132,0.00008003002,0.000048423895],"category_scores_gemma":[0.00009446426,0.00024914663,0.00015749919,0.0010592421,0.000096334115,0.0006516808,0.0000758356,0.00032972166,0.000014202495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039086022,0.00021688399,0.00014656117,0.000025064626,0.00036564365,0.0000051620227,0.000025008047,0.93277067,0.00012983022,0.0051526055,0.0012352885,0.05988822],"study_design_scores_gemma":[0.0016434309,0.00041276068,0.0028160803,0.00014939519,0.0001860187,0.0004414678,0.00008625957,0.65111333,0.00028675803,0.28218424,0.060070876,0.0006093925],"about_ca_topic_score_codex":0.0000030540155,"about_ca_topic_score_gemma":0.0000014798097,"teacher_disagreement_score":0.5280051,"about_ca_system_score_codex":0.00024720805,"about_ca_system_score_gemma":0.00013140264,"threshold_uncertainty_score":0.99999607},"labels":[],"label_agreement":null},{"id":"W2149920974","doi":"10.48550/arxiv.1302.6401","title":"An implementation of CAD in Maple utilising McCallum projection","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Maple; CAD; Projection (relational algebra); Computer science; Mathematics; Engineering; Engineering drawing; Algorithm; Botany; Biology","score_opus":0.04456328911078074,"score_gpt":0.22585873877858426,"score_spread":0.18129544966780353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149920974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7970119,0.000016158692,0.20206864,0.000003321603,0.000054482814,0.0002540706,0.000008731299,0.00025455427,0.00032810058],"genre_scores_gemma":[0.99746954,0.00013014542,0.0022628775,0.0000042243223,0.000021145182,0.000003121701,0.000049392893,0.000024548368,0.00003501259],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913645,0.000048485923,0.00023111711,0.0003513584,0.000050415194,0.00018215689],"domain_scores_gemma":[0.9994009,0.000015966214,0.000111933856,0.0003547477,0.0000656221,0.000050799998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000084648615,0.00017770808,0.00026728722,0.00035688572,0.000021581152,0.0000136781655,0.00023373672,0.00016347808,0.00007752058],"category_scores_gemma":[0.0000042348274,0.00022051367,0.00008619781,0.00045086606,0.000036057518,0.00029913563,0.00011276491,0.0003076685,0.000006359823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000142022,0.00008183172,0.024606239,0.00025629718,0.0000888941,0.0000199763,0.0003609906,0.95556456,0.007424173,0.0024875898,0.00006773086,0.009027532],"study_design_scores_gemma":[0.00029822462,0.00006559729,0.01271055,0.00008694705,0.00008615247,7.345053e-7,0.0009506403,0.9514619,0.017068991,0.016691417,0.00012532568,0.00045348765],"about_ca_topic_score_codex":0.0020050139,"about_ca_topic_score_gemma":0.00061825174,"teacher_disagreement_score":0.20045759,"about_ca_system_score_codex":0.0002934345,"about_ca_system_score_gemma":0.000021808208,"threshold_uncertainty_score":0.89922863},"labels":[],"label_agreement":null},{"id":"W2151827799","doi":"10.1109/icassp.2005.1416079","title":"Multi-dimensional Average-Interpolating Refinement on Arbitrary Lattices","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Subdivision; Scaling; Lattice (music); Algorithm; Interpolation (computer graphics); Function (biology); Polynomial; Basis function; Computer science; Mathematics; Mathematical analysis; Geometry; Artificial intelligence; Image (mathematics); Physics","score_opus":0.00952018119508448,"score_gpt":0.24052147202589416,"score_spread":0.23100129083080967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151827799","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33456784,0.0003458284,0.5244821,0.0003371115,0.0001930848,0.0002842911,0.000010106893,0.0047929594,0.13498671],"genre_scores_gemma":[0.78150105,0.000003097815,0.21727164,0.00020844102,0.000053630276,0.000010880399,0.000008149219,0.000021293898,0.00092182244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992824,0.000009032597,0.00022313202,0.00015924273,0.00014746762,0.00017872173],"domain_scores_gemma":[0.99972135,0.000053962594,0.000024569694,0.00014947842,0.000015562317,0.000035091216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004513406,0.00013725736,0.00013936702,0.00007602102,0.00004027314,0.000014578241,0.000078099234,0.000037505273,0.00030176397],"category_scores_gemma":[0.0000075617545,0.00011400911,0.00006630729,0.00012309477,0.000014337233,0.000083741,0.000025436444,0.00013526206,0.000089818335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003160225,0.0005188561,0.0031534808,0.000089301866,0.0001898225,0.00007582984,0.000053947628,0.73013324,0.22201523,0.009063555,0.0119197285,0.022755407],"study_design_scores_gemma":[0.00025044518,0.000055916007,0.003264925,0.000050479917,0.000014872692,0.0000027310998,0.000007419463,0.92246735,0.06514749,0.0016338663,0.006757453,0.0003470318],"about_ca_topic_score_codex":0.00006204756,"about_ca_topic_score_gemma":0.000027370766,"teacher_disagreement_score":0.4469332,"about_ca_system_score_codex":0.000052504416,"about_ca_system_score_gemma":0.0000020614857,"threshold_uncertainty_score":0.46491566},"labels":[],"label_agreement":null},{"id":"W2153181933","doi":"10.1016/j.ijmachtools.2008.01.002","title":"Feed optimization for five-axis CNC machine tools with drive constraints","year":2008,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":243,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Jerk; Machining; Machine tool; Numerical control; Control theory (sociology); Servo; Acceleration; Engineering; Servomechanism; Servomotor; Control engineering; Computer science; Mechanical engineering; Control (management); Artificial intelligence","score_opus":0.009569881473139448,"score_gpt":0.23894938967275936,"score_spread":0.2293795081996199,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153181933","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07726762,0.00042071112,0.9203051,0.00079540437,0.0001663343,0.00018550432,0.00026145412,0.00008291392,0.00051496],"genre_scores_gemma":[0.9107217,0.00070785236,0.0879231,0.0002441441,0.00016492802,0.000007707182,0.00010029757,0.00002679353,0.00010343969],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990653,0.0000143816105,0.00036031604,0.0001257097,0.00029878147,0.00013552481],"domain_scores_gemma":[0.99923426,0.00013161193,0.00019324703,0.00007960157,0.0002692557,0.0000920464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008503068,0.00018939587,0.00029852803,0.00014855104,0.000058136797,0.00006258214,0.00022424951,0.00006728499,0.00016554404],"category_scores_gemma":[0.000077487384,0.00013519828,0.00011302982,0.000058253965,0.00008715314,0.0004795683,0.000027331194,0.000249033,8.662122e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058138085,0.00011958227,0.0011914357,0.000044814922,0.0011598676,0.00023635526,0.00037136514,0.7944581,0.0020224967,0.00040127654,0.0021258588,0.19728747],"study_design_scores_gemma":[0.015329087,0.0027556415,0.03822322,0.0007035287,0.00073394127,0.009657473,0.0003131673,0.75484455,0.08107597,0.0074863727,0.08619779,0.0026792858],"about_ca_topic_score_codex":0.000007028812,"about_ca_topic_score_gemma":0.0000069767875,"teacher_disagreement_score":0.83345413,"about_ca_system_score_codex":0.000065600994,"about_ca_system_score_gemma":0.000017835027,"threshold_uncertainty_score":0.5513226},"labels":[],"label_agreement":null},{"id":"W2154149258","doi":"10.1080/00207390801923240","title":"On the analysis and construction of the butterfly curve using <b> <i>Mathematica</i> </b> ®","year":2008,"lang":"en","type":"article","venue":"International Journal of Mathematical Education in Science and Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Butterfly; Mathematics; Curve fitting; Butterfly effect; Applied mathematics; Computer science; Statistics; Artificial intelligence","score_opus":0.010789509231060049,"score_gpt":0.2941911507083065,"score_spread":0.28340164147724645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154149258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9641423,0.00005969171,0.033823624,0.0016092164,0.00007758124,0.000048975144,6.191224e-7,0.000010077112,0.00022790254],"genre_scores_gemma":[0.98047674,0.000081209466,0.019373182,0.00004848215,0.000010218454,0.0000026148793,4.2056875e-8,0.0000027484168,0.000004746418],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991344,0.000013950864,0.00035051495,0.000070818984,0.00036000684,0.000070305825],"domain_scores_gemma":[0.99913216,0.00018095682,0.00017524157,0.000120931494,0.0003687881,0.000021925758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003761575,0.00005776617,0.00016011116,0.00064499833,0.00005292187,0.000013487824,0.00035275886,0.000035363224,0.00001258823],"category_scores_gemma":[0.0008500573,0.000032316617,0.00003602518,0.0013094964,0.0010503117,0.00013446699,0.00005088152,0.00015631814,4.468169e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020270218,0.00055233063,0.038676128,0.00007420857,0.00044340244,0.000006806212,0.0017512911,0.0015395434,0.05242375,0.8438143,0.00016843497,0.0605295],"study_design_scores_gemma":[0.00016502736,0.000055715343,0.004067106,0.00025693368,0.00011904904,0.0008937603,0.0013390754,0.035810698,0.06932413,0.887786,0.000052258365,0.00013026544],"about_ca_topic_score_codex":0.0000018026268,"about_ca_topic_score_gemma":8.021485e-7,"teacher_disagreement_score":0.060399234,"about_ca_system_score_codex":0.00006433104,"about_ca_system_score_gemma":0.000102124235,"threshold_uncertainty_score":0.38699174},"labels":[],"label_agreement":null},{"id":"W2154492950","doi":"10.1016/j.cma.2013.10.026","title":"Acoustic isogeometric boundary element analysis","year":2013,"lang":"en","type":"article","venue":"Computer Methods in Applied Mechanics and Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":231,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute for Materials Science; Royal Society; Canadian Bureau for International Education; University of Texas at Austin; National Science Foundation","keywords":"Isogeometric analysis; Boundary element method; Collocation (remote sensing); Finite element method; Computer Aided Design; Mathematics; CAD; Applied mathematics; Singular boundary method; Boundary value problem; Spline (mechanical); Boundary (topology); Mathematical analysis; Computer science; Structural engineering; Engineering; Engineering drawing","score_opus":0.009097817490216984,"score_gpt":0.2643882231436325,"score_spread":0.2552904056534155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154492950","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019476613,0.00052538037,0.99655443,0.0000073412893,0.00012448258,0.00020681662,0.0000011710672,0.0004978992,0.00013483042],"genre_scores_gemma":[0.2615935,0.0001916069,0.7379899,0.000032313244,0.000042023927,0.000110816065,0.0000045752613,0.000032601525,0.0000026904543],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881554,0.000016839635,0.0003743977,0.00030038247,0.00012578396,0.00036708626],"domain_scores_gemma":[0.9993973,0.00016052376,0.00003065855,0.00027173012,0.00001943537,0.00012037943],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036155724,0.00025029978,0.00048111528,0.0010298772,0.000030435143,0.0000733229,0.0001760479,0.00009437119,0.000039517032],"category_scores_gemma":[0.000013344466,0.00025726538,0.00008928807,0.0023810235,0.0000061297314,0.00007490135,0.0001313397,0.00026681082,0.0000058853198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.067259e-7,0.000012652743,0.000012002095,0.000060494338,0.00022067799,0.000001730745,0.00003651972,0.7350615,0.021673854,0.0029827445,0.00003024739,0.23990695],"study_design_scores_gemma":[0.00010304531,0.000014509417,0.00019634256,0.000008870692,0.000106094456,0.0000012910211,0.000010243142,0.99068004,0.0023415894,0.0052292333,0.0010240207,0.00028469454],"about_ca_topic_score_codex":0.000005997116,"about_ca_topic_score_gemma":0.0000011072772,"teacher_disagreement_score":0.25964582,"about_ca_system_score_codex":0.000098701326,"about_ca_system_score_gemma":0.0000031310512,"threshold_uncertainty_score":0.99998796},"labels":[],"label_agreement":null},{"id":"W2156198421","doi":"10.1016/j.cam.2006.02.003","title":"Planar interpolation with a pair of rational spirals","year":2006,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Interpolation (computer graphics); Planar; Mathematical analysis; Pure mathematics; Geometry; Algebra over a field; Calculus (dental); Computer graphics (images)","score_opus":0.006044427025204447,"score_gpt":0.2115727199518108,"score_spread":0.20552829292660635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156198421","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12534888,0.000044711134,0.8734693,0.00003527852,0.0000056116187,0.00004035022,0.0000025377087,0.00001989329,0.0010334192],"genre_scores_gemma":[0.60193044,0.0000019071217,0.39801687,0.000007701708,0.000027902192,9.881888e-7,0.0000033310275,0.000005122735,0.000005722342],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99935806,0.000002539314,0.00036655462,0.000032727585,0.00019442444,0.000045681554],"domain_scores_gemma":[0.9995615,0.000104572275,0.00020201095,0.000026496384,0.000085534375,0.000019920693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007479136,0.000067188375,0.00018535642,0.000082294515,0.000014945979,0.000008619233,0.0000390441,0.000019581777,0.000007291218],"category_scores_gemma":[0.000003610494,0.000048706504,0.000029227096,0.00009225163,0.00003114035,0.00006522692,0.000004177623,0.00005984277,5.2901805e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031854033,0.00013309978,0.0002172271,0.00019896147,0.00010580908,0.000002636084,0.00014171672,0.79974055,0.011113842,0.1853907,0.00069121516,0.0022323863],"study_design_scores_gemma":[0.0004968167,0.00012298042,0.0017125205,0.00011830179,0.000064554035,0.00008789095,0.000087402565,0.23211648,0.0066734133,0.75805116,0.000316771,0.00015169437],"about_ca_topic_score_codex":2.914526e-7,"about_ca_topic_score_gemma":3.5862132e-7,"teacher_disagreement_score":0.5726605,"about_ca_system_score_codex":0.0000109814555,"about_ca_system_score_gemma":0.000008851226,"threshold_uncertainty_score":0.19861935},"labels":[],"label_agreement":null},{"id":"W2157690364","doi":"10.1109/ccece.1998.682736","title":"Progressive transmission of images through fractal surface interpolation","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Fractal; Interpolation (computer graphics); Fractional Brownian motion; Affine transformation; Hurst exponent; Transmission (telecommunications); Computer vision; Mathematics; Displacement (psychology); Computer science; Artificial intelligence; Brownian motion; Image (mathematics); Geometry; Algorithm; Mathematical analysis","score_opus":0.010093974265074725,"score_gpt":0.25182515392638405,"score_spread":0.24173117966130933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157690364","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.034494713,0.0010102241,0.9462104,0.000076414326,0.00001340785,0.00008955053,0.0000018219149,0.0005292827,0.01757419],"genre_scores_gemma":[0.84946644,0.00010735824,0.15024948,0.00000713766,0.0000073707056,0.0000024959054,0.0000019934937,0.000011360312,0.00014633294],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995795,0.000007661988,0.00015547035,0.00008005077,0.00008968316,0.000087633984],"domain_scores_gemma":[0.99981374,0.000023078765,0.000026235492,0.000090537695,0.000025351785,0.00002107129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000015540367,0.00007737971,0.00012403975,0.000019529647,0.0000121983585,0.000004750558,0.000060577047,0.00003736134,0.0009006487],"category_scores_gemma":[0.0000057659704,0.00006167648,0.000051849125,0.00014960775,0.000026482641,0.00024015308,0.000007463266,0.000069031776,0.000012257778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013865022,0.00018140198,0.0007857134,0.00013992038,0.000111552006,0.000011896658,0.0012025996,0.017062096,0.79529154,0.00041932534,0.007134531,0.17764553],"study_design_scores_gemma":[0.000081958315,0.000043276497,0.00009270778,0.00003489996,0.000013634554,0.0000023541497,0.000039777242,0.31753302,0.6788471,0.0009881245,0.0021995404,0.00012364195],"about_ca_topic_score_codex":0.0000055165265,"about_ca_topic_score_gemma":1.6031711e-7,"teacher_disagreement_score":0.81497175,"about_ca_system_score_codex":0.000012656299,"about_ca_system_score_gemma":5.1514434e-7,"threshold_uncertainty_score":0.98614717},"labels":[],"label_agreement":null},{"id":"W2158572265","doi":"10.1109/haptic.2002.998959","title":"Haptic subdivision: an approach to defining level-of-detail in haptic rendering","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Haptic technology; Computer science; Rendering (computer graphics); Subdivision; Object (grammar); Simulation; Reaction; Deformation (meteorology); Computer graphics (images); Artificial intelligence; Mechanical engineering; Engineering","score_opus":0.06591444298175528,"score_gpt":0.27732390810759994,"score_spread":0.21140946512584466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158572265","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07004359,0.00012875882,0.89641434,0.0000059022987,0.000022359247,0.00010214174,0.0000011367885,0.00038543696,0.032896306],"genre_scores_gemma":[0.71296,0.000011395777,0.28687844,0.000023008863,0.0000041834974,0.000020416326,0.000002166825,0.000027793809,0.00007257063],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988823,0.000031609383,0.0003631019,0.00025592584,0.00017411675,0.0002929551],"domain_scores_gemma":[0.99945897,0.000045212877,0.000025628267,0.0003278476,0.000025573418,0.000116762014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021542638,0.0001725596,0.00031574335,0.00024177728,0.00002358457,0.000015731146,0.00016950816,0.000064565895,0.00005197603],"category_scores_gemma":[0.000092490445,0.0001655791,0.00005607956,0.0006996335,0.000019494284,0.00019495019,0.00003114557,0.00016143882,0.000020933676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025428964,0.00053596566,0.009608078,0.0003423578,0.00015672793,0.000028005006,0.0018109862,0.6120087,0.14475417,0.15165915,0.00028641982,0.078784],"study_design_scores_gemma":[0.00048765048,0.00018485948,0.0048948145,0.00014020989,0.00004634145,0.000022169506,0.000877761,0.9271335,0.055016197,0.008444456,0.0016040936,0.0011479497],"about_ca_topic_score_codex":0.000035017227,"about_ca_topic_score_gemma":0.000030666517,"teacher_disagreement_score":0.64291644,"about_ca_system_score_codex":0.000073574214,"about_ca_system_score_gemma":0.000007541086,"threshold_uncertainty_score":0.67521197},"labels":[],"label_agreement":null},{"id":"W2159236920","doi":"","title":"Oja Medians and Centers of Mass","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Point (geometry); Upper and lower bounds; Library science; Mathematics; Combinatorics; Geometry","score_opus":0.002065137544800595,"score_gpt":0.19437166055185431,"score_spread":0.19230652300705373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159236920","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4216401,0.00004859148,0.5507943,0.00017470382,0.00009888784,0.000064687396,0.0000034882664,0.00065188104,0.02652339],"genre_scores_gemma":[0.941652,0.000033262448,0.05822014,0.000016677981,0.00000886217,0.0000016599259,6.206372e-7,0.0000059992994,0.000060748298],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99980474,0.0000011606501,0.00006262324,0.000040435578,0.000036125846,0.000054913322],"domain_scores_gemma":[0.99987185,0.00001320629,0.000006052134,0.00007204607,0.0000071379827,0.000029690224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000016365046,0.000035610716,0.00006743288,0.00002638808,0.0000040578434,0.0000018099612,0.00003651087,0.000021657243,0.00008154085],"category_scores_gemma":[0.000008075671,0.000029126633,0.000015005316,0.000052210504,0.000026458143,0.00003426137,0.0000068657255,0.000060149294,0.0000022766199],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.193839e-7,0.0000061053747,0.0036623508,0.000018652456,0.000020132493,0.0000010384462,0.00003658101,0.00013309593,0.9760889,0.0013586559,0.0005389887,0.01813459],"study_design_scores_gemma":[0.00014764829,0.000027845866,0.0029269906,0.000007781906,0.000021112472,0.0000027555775,0.000056620123,0.03257328,0.9407136,0.0055936957,0.017715821,0.00021283879],"about_ca_topic_score_codex":0.000008407335,"about_ca_topic_score_gemma":0.000019513225,"teacher_disagreement_score":0.52001196,"about_ca_system_score_codex":0.000002299458,"about_ca_system_score_gemma":5.334535e-7,"threshold_uncertainty_score":0.118774965},"labels":[],"label_agreement":null},{"id":"W2159872708","doi":"10.1007/s10444-003-7609-5","title":"Wavelet bases of Hermite cubic splines on the interval","year":2006,"lang":"en","type":"article","venue":"Advances in Computational Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Wavelet; Mathematics; Hermite polynomials; Mathematical analysis; Basis (linear algebra); Cubic Hermite spline; Antisymmetric relation; Basis function; Applied mathematics; Geometry; Computer science; Polynomial; Artificial intelligence","score_opus":0.0081212271313641,"score_gpt":0.2536523097430518,"score_spread":0.2455310826116877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159872708","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1267503,0.0006451854,0.8666507,0.00020123366,0.00006431797,0.00018092609,0.000015097239,0.00020030043,0.0052919104],"genre_scores_gemma":[0.81764555,0.00005058323,0.18215828,0.00004337676,0.00003346022,0.000018995677,0.000009402723,0.000015947006,0.000024414438],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922293,0.000013593151,0.0003723026,0.00009033648,0.00019607354,0.000104731946],"domain_scores_gemma":[0.9988775,0.0008604262,0.000078895886,0.00012591499,0.000046049747,0.000011197093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000085159525,0.00011465598,0.0001967073,0.000081342696,0.000019762416,0.0000070216215,0.00014769395,0.000022153286,0.000023605178],"category_scores_gemma":[0.00005639779,0.00008188708,0.000057516154,0.00027362615,0.000066054985,0.000114163806,0.000021209586,0.00009250973,0.000009582418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023399652,0.00008320225,0.00011644108,0.000097462085,0.000008283372,0.0000018167509,0.000032934327,0.9194819,0.000121391204,0.0757098,0.00012442807,0.0042200205],"study_design_scores_gemma":[0.00006953578,0.000022202667,0.00024430233,0.00012854948,0.0000060014613,0.0000026499038,0.000035568635,0.55100965,0.0034458004,0.4441174,0.0008179556,0.00010038485],"about_ca_topic_score_codex":0.0000017933232,"about_ca_topic_score_gemma":0.000007927082,"teacher_disagreement_score":0.69089526,"about_ca_system_score_codex":0.00003214688,"about_ca_system_score_gemma":0.0000040144623,"threshold_uncertainty_score":0.33392584},"labels":[],"label_agreement":null},{"id":"W2159942797","doi":"10.1016/j.jat.2004.10.003","title":"Combinations of multivariate averages","year":2004,"lang":"en","type":"article","venue":"Journal of Approximation Theory","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Smoothness; SPHERES; Multivariate statistics; Degree (music); Applied mathematics; Mathematical analysis; Statistics; Physics","score_opus":0.006142129446033879,"score_gpt":0.239128936119795,"score_spread":0.23298680667376112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159942797","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053037632,0.00013671843,0.9454016,0.00006654856,0.000048296173,0.000043992295,0.0000011754234,0.000052334937,0.0012117053],"genre_scores_gemma":[0.9267342,0.000054189233,0.07315185,0.00001221937,0.0000191424,0.0000016109088,0.0000010388163,0.000009550091,0.000016211801],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993708,0.000028515917,0.00036546725,0.000032571093,0.00014284186,0.00005981072],"domain_scores_gemma":[0.9994764,0.00007040916,0.00020336255,0.00007866893,0.00014162138,0.000029582925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031028152,0.00006058529,0.00016644257,0.00015592607,0.000018102419,0.000005987134,0.00010005524,0.000031837146,0.000017515988],"category_scores_gemma":[0.000104361054,0.000050463543,0.00008660935,0.00018094356,0.000031795058,0.00023596035,0.000008109254,0.0001157177,0.0000024715443],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000353449,0.00038684168,0.000022967626,0.000082893974,0.0002072214,0.000005006183,0.0010918226,0.34266514,0.08016105,0.548706,0.00007853864,0.026557183],"study_design_scores_gemma":[0.00082498306,0.000079029,0.0003805342,0.00007141444,0.000043603515,0.000016722974,0.00011371801,0.00572295,0.21228355,0.7800434,0.0003268143,0.00009328206],"about_ca_topic_score_codex":5.621951e-7,"about_ca_topic_score_gemma":1.2588335e-7,"teacher_disagreement_score":0.87369657,"about_ca_system_score_codex":0.000058103004,"about_ca_system_score_gemma":0.000009907549,"threshold_uncertainty_score":0.20578435},"labels":[],"label_agreement":null},{"id":"W2161830793","doi":"10.1016/j.jat.2004.07.007","title":"Approximation with scaled shift-invariant spaces by means of quasi-projection operators","year":2004,"lang":"en","type":"article","venue":"Journal of Approximation Theory","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Projection (relational algebra); Lipschitz continuity; Operator theory; Spline (mechanical); Smoothness; Wavelet; Invariant (physics); Minimax approximation algorithm; Mathematical analysis; Applied mathematics; Algorithm; Computer science; Artificial intelligence","score_opus":0.004930028253939086,"score_gpt":0.21584089619786945,"score_spread":0.21091086794393035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161830793","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13635443,0.00018712184,0.86247647,0.00009908301,0.000044894507,0.00016526808,0.0000039747556,0.00010436215,0.0005643845],"genre_scores_gemma":[0.90873194,0.000070774986,0.09106835,0.000019899006,0.00005177856,0.000010832956,0.0000070550564,0.00003041939,0.000008977387],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99864906,0.00008780361,0.00062577403,0.00011225735,0.0003797238,0.00014536631],"domain_scores_gemma":[0.9990736,0.00006105708,0.000449504,0.00015758867,0.00018829989,0.00006989991],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071341067,0.00017293984,0.00037182547,0.0002780772,0.00004837203,0.00003412199,0.00015952178,0.00008653081,0.000022005665],"category_scores_gemma":[0.00007595186,0.00012805895,0.00010551654,0.0005093391,0.00007937944,0.0007095927,0.000010986353,0.00023007691,0.000002494106],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013652531,0.0014808602,0.00038681063,0.00096468837,0.0012636095,0.000020265712,0.007010271,0.4567382,0.27167705,0.2154224,0.0006130759,0.04305749],"study_design_scores_gemma":[0.0022641495,0.0013667016,0.00021509083,0.00049588265,0.00031312174,0.00010165953,0.0022706809,0.037875313,0.7590185,0.1952176,0.00029120647,0.00057012646],"about_ca_topic_score_codex":0.000006559101,"about_ca_topic_score_gemma":0.000003241962,"teacher_disagreement_score":0.7723775,"about_ca_system_score_codex":0.00017677716,"about_ca_system_score_gemma":0.000035868696,"threshold_uncertainty_score":0.5222092},"labels":[],"label_agreement":null},{"id":"W2162845055","doi":"10.1109/gmag.2003.1219687","title":"Computer aided ferret design","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Distortion (music); Computer science; Task (project management); Interface (matter); Solid modeling; User interface; Human–computer interaction; Engineering drawing; Computer vision; Artificial intelligence; Engineering; Systems engineering","score_opus":0.016015997255394043,"score_gpt":0.22699108700227924,"score_spread":0.2109750897468852,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162845055","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005989927,0.000039252267,0.9838229,0.00001080999,0.000032820262,0.00004663511,1.2291358e-7,0.000968702,0.014479795],"genre_scores_gemma":[0.42435363,0.000011761645,0.57528836,0.00010105814,0.000013035887,0.0000067481496,5.265522e-7,0.000012651567,0.000212206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996421,0.000016272794,0.00009000076,0.00007898711,0.000054018445,0.000118671625],"domain_scores_gemma":[0.999794,0.0000315141,0.000005445218,0.00012043148,0.000010350728,0.000038252416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045771816,0.00007267672,0.00009688999,0.000032751075,0.000013603039,0.000008656215,0.000054422213,0.000026987967,0.00024638546],"category_scores_gemma":[0.000007588081,0.000061186984,0.000032255783,0.00013893143,0.0000094334555,0.000057626716,0.0000055427267,0.000054822176,0.0000917719],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000062009717,0.00008466693,0.000501533,0.000035656703,0.00020234736,0.000034867073,0.00010091151,0.73284405,0.027254807,0.04159405,0.099422045,0.09791883],"study_design_scores_gemma":[0.00021230344,0.00006899873,0.00019716125,0.000009229211,0.000021031625,0.0000125841525,0.000009597616,0.6034299,0.29686332,0.022541545,0.07612669,0.0005075943],"about_ca_topic_score_codex":9.85476e-7,"about_ca_topic_score_gemma":3.2885424e-7,"teacher_disagreement_score":0.42375463,"about_ca_system_score_codex":0.000021445301,"about_ca_system_score_gemma":0.000001634081,"threshold_uncertainty_score":0.2697748},"labels":[],"label_agreement":null},{"id":"W2163410946","doi":"10.1109/tcsi.2004.826211","title":"Characterization of B-Spline Digital Filters","year":2004,"lang":"en","type":"article","venue":"IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Mathematics; Digital filter; B-spline; Half-band filter; Kernel (algebra); Spline (mechanical); Transfer function; Algorithm; Impulse response; Filter (signal processing); Low-pass filter; Mathematical analysis; Prototype filter; Computer science; Discrete mathematics; Computer vision","score_opus":0.008863425098189501,"score_gpt":0.21984226357195982,"score_spread":0.21097883847377033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163410946","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1652704,0.00007208817,0.83371514,0.000008576647,0.000033505105,0.00025945218,0.00018245507,0.00012647743,0.0003318915],"genre_scores_gemma":[0.9994558,0.000160887,0.00004695716,0.000014342281,0.000020449255,0.00018377077,0.000020240268,0.000015317126,0.00008219858],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99947596,0.000012260202,0.00021329262,0.00013947856,0.00007073856,0.000088296525],"domain_scores_gemma":[0.99972105,0.00004470277,0.000038932947,0.0001201398,0.000016128457,0.000059052254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006468987,0.00010697446,0.00015262619,0.000077454,0.00010371567,0.000037672064,0.000045103912,0.000042798707,0.000007459468],"category_scores_gemma":[5.873783e-7,0.00010104145,0.000036426703,0.00015434658,0.000087326844,0.0001684228,7.68376e-7,0.00007422329,0.000004107955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021520364,0.00031362995,0.000027839218,0.0002746856,0.00018603321,8.498235e-7,0.00045000055,0.025429066,0.7106988,0.06480488,0.0000016778986,0.19779104],"study_design_scores_gemma":[0.0035029715,0.0009276573,0.001267979,0.0008722233,0.0005223912,0.00023860803,0.0037220446,0.011915348,0.8972142,0.062990904,0.014462723,0.0023629763],"about_ca_topic_score_codex":0.000002481335,"about_ca_topic_score_gemma":5.260378e-7,"teacher_disagreement_score":0.8341854,"about_ca_system_score_codex":0.00003108063,"about_ca_system_score_gemma":0.00000340237,"threshold_uncertainty_score":0.41203508},"labels":[],"label_agreement":null},{"id":"W2163976407","doi":"","title":"Lower Bounds on Rate of Convergence of Cutting Plane Methods","year":2010,"lang":"en","type":"article","venue":"neural information processing systems","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Support vector machine; Cutting-plane method; Hinge loss; Convergence (economics); Rate of convergence; Conjecture; Plane (geometry); Computer science; Algorithm; Function (biology); Mathematical optimization; Mathematics; Applied mathematics; Artificial intelligence; Combinatorics; Geometry","score_opus":0.010689782648075125,"score_gpt":0.2954642392651482,"score_spread":0.28477445661707307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163976407","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4811383,0.00011647226,0.51156235,0.00002710022,0.0010354104,0.00025713287,0.000012558065,0.0006096274,0.005241045],"genre_scores_gemma":[0.9880815,0.000004720722,0.011806487,0.000026710428,0.000026873387,0.000013496562,0.000009244621,0.000009301122,0.000021676213],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990296,0.000026437578,0.0006253236,0.000059267368,0.00013782422,0.00012159228],"domain_scores_gemma":[0.9992622,0.000070646856,0.00031951594,0.000148907,0.00016377188,0.000034926066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033611534,0.000110120964,0.00024274312,0.00013770898,0.000037138074,0.000034884444,0.00013355108,0.00007156354,0.0000103701495],"category_scores_gemma":[0.00011207312,0.00009358524,0.000041124207,0.00031069393,0.000046202098,0.0008932666,0.000013201934,0.0001915634,0.000005381365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005791719,0.000040139184,0.00072058995,0.0040108515,0.000058625465,0.0000010515599,0.0015380818,0.17861062,0.6019474,0.0020955668,0.0005264884,0.21039265],"study_design_scores_gemma":[0.00010333638,0.000057617573,0.00014582393,0.00014332274,0.000012236437,0.000006555427,0.00010888176,0.73095983,0.26361752,0.00009797753,0.0046014683,0.00014543475],"about_ca_topic_score_codex":0.000016082167,"about_ca_topic_score_gemma":4.331247e-7,"teacher_disagreement_score":0.5523492,"about_ca_system_score_codex":0.000014905005,"about_ca_system_score_gemma":0.0000106666985,"threshold_uncertainty_score":0.3816295},"labels":[],"label_agreement":null},{"id":"W2164147055","doi":"10.1109/3dim.2005.56","title":"Incremental Catmull-Clark Subdivision","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Subdivision; Subdivision surface; Computer science; Surface (topology); Limit (mathematics); Algorithm; Polygon mesh; Mathematics; Computer graphics (images); Geometry; Engineering; Mathematical analysis","score_opus":0.004804135393702683,"score_gpt":0.22494057418621927,"score_spread":0.2201364387925166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164147055","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28017205,0.0003654085,0.6268699,0.00026323702,0.000052443203,0.00014329316,0.0000025782183,0.0036024975,0.08852855],"genre_scores_gemma":[0.94988763,0.000047182926,0.049561273,0.00012405873,0.000055040586,0.0000066552175,0.000003759975,0.00001484808,0.00029955793],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995664,0.000004342383,0.00011527361,0.00008699623,0.00009677627,0.00013023865],"domain_scores_gemma":[0.99980044,0.000011201318,0.0000072757775,0.00012589012,0.000009119123,0.00004604365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000346336,0.00007837328,0.00008713095,0.000042087373,0.000021610813,0.000008753152,0.00008003571,0.000029555566,0.00055127026],"category_scores_gemma":[0.000005076828,0.000067457644,0.000039480965,0.00012704791,0.000011201471,0.00013458314,0.000024593237,0.000069718,0.00027712152],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008534659,0.00012779154,0.0024265284,0.000025466341,0.00010800756,0.000007845376,0.00011910238,0.022181267,0.24942869,0.0045273956,0.051461626,0.6695778],"study_design_scores_gemma":[0.00019140137,0.000034449477,0.0013680486,0.000008933864,0.000018803981,0.00000459834,0.000026965554,0.19644682,0.60766536,0.00075558835,0.19310641,0.00037264073],"about_ca_topic_score_codex":0.000010859516,"about_ca_topic_score_gemma":0.00001687846,"teacher_disagreement_score":0.6697156,"about_ca_system_score_codex":0.00007254085,"about_ca_system_score_gemma":0.0000010880403,"threshold_uncertainty_score":0.6036023},"labels":[],"label_agreement":null},{"id":"W2164551192","doi":"10.1109/ccece.2006.277506","title":"X3D Conformance Testing Factors in Creating Aviable Test Suite","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"X3D; Computer science; Web application; Software engineering; Conformance testing; Documentation; World Wide Web; VRML; The Internet; Process (computing); Operating system; Standardization","score_opus":0.008573267439185631,"score_gpt":0.21527182686252597,"score_spread":0.20669855942334034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164551192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.756713,0.000061549144,0.050341558,0.000006156173,0.000019416537,0.00011469058,0.000003039356,0.001614176,0.19112644],"genre_scores_gemma":[0.95262754,0.0000029381501,0.046515115,0.000011953737,0.000025357727,0.000010867872,0.000007144888,0.00002156074,0.00077753054],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992457,0.0000035330493,0.00027054732,0.000119105105,0.000092866,0.0002682539],"domain_scores_gemma":[0.99950206,0.0002906264,0.000029175513,0.00012232446,0.00002557762,0.000030203826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005702301,0.00013192392,0.00017603024,0.0001017309,0.0000359872,0.000023809034,0.000093310475,0.000042046475,0.000059656246],"category_scores_gemma":[0.00014301034,0.0001166828,0.000027923688,0.0005865865,0.000018153249,0.0002358025,0.00002173265,0.00012816733,0.000017265116],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.0106832e-7,0.000025358764,0.8862049,0.000028801218,0.0000039357838,0.000006049363,0.000025365614,0.08316385,0.028635368,0.00036038383,0.00014682685,0.0013987678],"study_design_scores_gemma":[0.0002571522,0.000047784306,0.24903503,0.00011190431,0.000013345514,0.0000061637575,0.000114499075,0.5014923,0.24216871,0.0033046233,0.0027051838,0.00074327865],"about_ca_topic_score_codex":0.0006709357,"about_ca_topic_score_gemma":0.00010635915,"teacher_disagreement_score":0.63716984,"about_ca_system_score_codex":0.000057522524,"about_ca_system_score_gemma":0.0000036333327,"threshold_uncertainty_score":0.47581863},"labels":[],"label_agreement":null},{"id":"W2165152889","doi":"10.1504/ijcse.2007.014467","title":"Incremental subdivision for triangle meshes","year":2007,"lang":"en","type":"article","venue":"International Journal of Computational Science and Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subdivision; Subdivision surface; Polygon mesh; Polygon (computer graphics); Surface (topology); Computer science; Triangle mesh; Algorithm; Mathematics; Computer graphics (images); Geometry; Frame (networking); Geography","score_opus":0.00765014590190029,"score_gpt":0.2809518595566269,"score_spread":0.2733017136547266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165152889","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26140556,0.00010510421,0.7379717,0.00007459467,0.00028259287,0.000031894946,0.0000018981444,0.000032501426,0.0000941169],"genre_scores_gemma":[0.9235024,0.00001850926,0.07628832,0.00003233792,0.00014859869,9.0808015e-7,0.000001259191,0.000005980945,0.000001704505],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99902695,0.0000014129336,0.0002731863,0.000062752326,0.0005182955,0.000117406234],"domain_scores_gemma":[0.999196,0.00015591133,0.00005592713,0.000022858876,0.0004951699,0.00007415106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078503217,0.0000626302,0.00009951645,0.0003417649,0.000034853536,0.000047638598,0.00020725283,0.000016068654,0.0000036774795],"category_scores_gemma":[0.00017603526,0.000056401357,0.000044539833,0.00020742393,0.000045229543,0.00042710785,0.000023927429,0.00006238602,4.7334726e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004856099,0.000031731288,0.0003737193,0.000014943902,0.00010017652,0.000016038062,0.0001576396,0.76556265,0.07585207,0.0072025214,0.00032117526,0.15031879],"study_design_scores_gemma":[0.00075262925,0.00013047729,0.015285023,0.000077588644,0.000017945746,0.00015017515,0.00008092836,0.91998434,0.047525126,0.008511063,0.007256787,0.000227933],"about_ca_topic_score_codex":8.864539e-7,"about_ca_topic_score_gemma":3.5360478e-7,"teacher_disagreement_score":0.66209686,"about_ca_system_score_codex":0.00013954044,"about_ca_system_score_gemma":0.000022925242,"threshold_uncertainty_score":0.22999807},"labels":[],"label_agreement":null},{"id":"W2165372370","doi":"10.1007/s00607-005-0140-4","title":"Optimal Quadratic and Cubic Spline Collocation on Nonuniform Partitions","year":2005,"lang":"en","type":"article","venue":"Computing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Mathematics; Collocation method; Collocation (remote sensing); Orthogonal collocation; Spline (mechanical); Applied mathematics; Boundary value problem; Quadratic equation; Uniqueness; Mathematical analysis; Nonlinear system; Ordinary differential equation; Geometry; Differential equation; Computer science","score_opus":0.007540692905724686,"score_gpt":0.24516778160595393,"score_spread":0.23762708870022925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165372370","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47612357,0.00009514396,0.52101195,0.00014026852,0.000020741196,0.00006962967,8.010017e-7,0.0004748674,0.0020630255],"genre_scores_gemma":[0.9176408,0.000014872774,0.082143195,0.00005170267,0.000099878635,0.0000040443683,0.000006178939,0.000011662035,0.000027659044],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999569,0.000005966541,0.00014614074,0.00009725114,0.00005957652,0.000122063546],"domain_scores_gemma":[0.9997742,0.000049165577,0.00002094412,0.000097264514,0.000017750684,0.000040634695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004441864,0.000077519486,0.00010017508,0.00005360331,0.00007554327,0.000017996377,0.000044339773,0.000024833418,0.000011805373],"category_scores_gemma":[0.00001697902,0.00007770446,0.000021068665,0.00015952154,0.000018196084,0.000071918505,0.000019299665,0.000087727625,0.000029624909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012939714,0.000020297015,0.000081106686,0.000011825431,0.000011373354,7.3867466e-7,0.000107801534,0.9325872,0.0021703017,0.0006912913,0.00022862885,0.06408812],"study_design_scores_gemma":[0.00007006426,0.000025303927,0.00053028326,0.000029275101,0.000009421256,0.0000024598553,0.000029207018,0.99102026,0.006597022,0.00014959548,0.0014377421,0.00009938325],"about_ca_topic_score_codex":0.0000013849749,"about_ca_topic_score_gemma":0.0000040142404,"teacher_disagreement_score":0.44151723,"about_ca_system_score_codex":0.00005120324,"about_ca_system_score_gemma":0.000002557755,"threshold_uncertainty_score":0.31686962},"labels":[],"label_agreement":null},{"id":"W2165804617","doi":"10.1017/s0308210500000445","title":"Local linear independence of refinable vectors of functions","year":2000,"lang":"en","type":"article","venue":"Proceedings of the Royal Society of Edinburgh Section A Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Independence (probability theory); Mathematics; Characterization (materials science); Bounded function; Sequence (biology); Wavelet; Pure mathematics; Nonlinear system; Discrete mathematics; Mathematical analysis; Computer science; Physics; Artificial intelligence; Statistics","score_opus":0.007510136256152562,"score_gpt":0.216184114158693,"score_spread":0.20867397790254044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165804617","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89375544,0.0001550721,0.099487595,0.000049089933,0.00010707504,0.0002691549,0.000012528036,0.00019951453,0.0059645544],"genre_scores_gemma":[0.96926147,0.0001327845,0.029371237,0.000005012505,0.000044602424,0.0000115373105,5.854672e-7,0.000020181591,0.0011525891],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987393,0.0000018805133,0.00058660726,0.00011602187,0.00041222404,0.00014398244],"domain_scores_gemma":[0.9991083,0.000053308588,0.0003278699,0.0001292371,0.00034737441,0.000033901782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025445037,0.00013994808,0.00039977024,0.000042928004,0.00004591287,0.000003267275,0.00024693328,0.00014772704,0.00031236737],"category_scores_gemma":[0.00006318273,0.00011157243,0.00036058354,0.0006237014,0.00022411952,0.000110118955,0.000049099206,0.0002327041,4.3838767e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012477224,0.001975367,0.005155556,0.009049213,0.0017124821,1.3196603e-7,0.012503086,0.45160162,0.43621144,0.0008960893,0.06350641,0.017263819],"study_design_scores_gemma":[0.0002236622,0.00016791384,0.00020207932,0.000427137,0.00019489221,0.0000029099099,0.0020525786,0.3824688,0.60880595,0.004186535,0.0010687409,0.00019878839],"about_ca_topic_score_codex":0.000042181207,"about_ca_topic_score_gemma":5.53503e-7,"teacher_disagreement_score":0.17259453,"about_ca_system_score_codex":0.00006045692,"about_ca_system_score_gemma":0.000012470324,"threshold_uncertainty_score":0.45497915},"labels":[],"label_agreement":null},{"id":"W2168217605","doi":"10.1109/isvd.2006.8","title":"An RNG-based heuristic for curve reconstruction","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Heuristic; Sample (material); Computer science; Set (abstract data type); Graph; Neighbourhood (mathematics); Artificial intelligence; Mathematics; Algorithm; Theoretical computer science; Mathematical analysis","score_opus":0.0050882460000532806,"score_gpt":0.23391377686068732,"score_spread":0.22882553086063404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168217605","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016238278,0.000021324744,0.98008317,0.000018440436,0.000042054893,0.00009069514,0.000004836862,0.0011031565,0.0023980744],"genre_scores_gemma":[0.8123717,0.00000131583,0.18740658,0.000020058536,0.000060706792,0.000035820503,0.0000232772,0.00001569824,0.000064901724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961865,0.0000053926296,0.00012509807,0.00010010852,0.000041410345,0.00010933344],"domain_scores_gemma":[0.9997782,0.000032871227,0.000013538947,0.00012236062,0.000027496992,0.000025523344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003286768,0.000071137285,0.0000937834,0.00005186315,0.000024485798,0.000011038379,0.000048172755,0.00003335316,0.000056471796],"category_scores_gemma":[0.000008716963,0.000066171415,0.0000450517,0.00010779945,0.00001591811,0.000089572655,0.0000015793897,0.000035824596,0.000006529301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027452563,0.00013405316,0.003795816,0.000116932744,0.00003954933,0.0000025382112,0.000008022266,0.6943021,0.057300597,0.007861479,0.0069503463,0.2294611],"study_design_scores_gemma":[0.00013260482,0.00005036804,0.0004513545,0.000005165788,0.000016061462,0.0000017317223,0.000005798223,0.89763796,0.08195482,0.016314227,0.003260487,0.00016938992],"about_ca_topic_score_codex":0.00002852319,"about_ca_topic_score_gemma":0.000036759284,"teacher_disagreement_score":0.79613334,"about_ca_system_score_codex":0.000034641507,"about_ca_system_score_gemma":0.0000025474158,"threshold_uncertainty_score":0.2698392},"labels":[],"label_agreement":null},{"id":"W2169196100","doi":"10.1111/1467-9868.00339","title":"Spline Smoothing over Difficult Regions","year":2002,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series B (Statistical Methodology)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":148,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Queen's University","keywords":"Smoothing; Thin plate spline; Smoothing spline; Spline (mechanical); Mathematics; Smoothness; Polyharmonic spline; Bivariate analysis; Applied mathematics; Euclidean geometry; Mathematical optimization; Mathematical analysis; Spline interpolation; Geometry; Statistics; Engineering","score_opus":0.04147731612591193,"score_gpt":0.2917369813594555,"score_spread":0.2502596652335436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169196100","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016414563,0.00040339754,0.9952003,0.0012977507,0.00050381524,0.00012240426,0.0001403378,0.00015422754,0.00053634535],"genre_scores_gemma":[0.06351575,0.0002778005,0.9347471,0.0005565864,0.00033514723,0.000008459566,0.000005363976,0.00006125255,0.00049251306],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99704266,0.0005292699,0.0010459069,0.0002513434,0.00056362624,0.00056718325],"domain_scores_gemma":[0.99498147,0.0038652902,0.00028085924,0.00033248283,0.0002154975,0.00032439837],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008033358,0.0003493428,0.0008605828,0.000040255123,0.00025096242,0.00005807099,0.00055246835,0.00024661203,0.0012760042],"category_scores_gemma":[0.004659369,0.00022930156,0.0004113339,0.0004619614,0.00077922805,0.00016205196,0.00015449242,0.0013054223,0.000019002287],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024956823,0.00055862166,0.0007291821,0.00040394376,0.0018390111,0.00029999114,0.0015942666,0.04227677,0.0041563916,0.2951876,0.58024585,0.072458826],"study_design_scores_gemma":[0.0018463504,0.0011012969,0.016550424,0.00023400002,0.0016705444,0.0005017289,0.0006893444,0.47535506,0.0021165933,0.37446466,0.123781,0.001688984],"about_ca_topic_score_codex":0.000014342169,"about_ca_topic_score_gemma":0.0000050512845,"teacher_disagreement_score":0.45646486,"about_ca_system_score_codex":0.00021917047,"about_ca_system_score_gemma":0.000016392496,"threshold_uncertainty_score":0.99963695},"labels":[],"label_agreement":null},{"id":"W2171545451","doi":"10.48550/arxiv.1006.5240","title":"High-order finite elements on pyramids. II: unisolvency and exactness","year":2010,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Hexahedron; Tetrahedron; Diagram; Mathematics; Order (exchange); Pure mathematics; Finite element method; Element (criminal law); Degrees of freedom (physics and chemistry); Property (philosophy); Geometry; Algebra over a field; Structural engineering; Physics; Engineering","score_opus":0.026738535011544506,"score_gpt":0.18078589428782518,"score_spread":0.1540473592762807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171545451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69631815,0.000063737476,0.29937255,0.00004123273,0.00035779853,0.00030449865,0.000051398856,0.0010900578,0.0024005652],"genre_scores_gemma":[0.99428934,0.00084274035,0.0037650566,0.000049611528,0.000064301596,0.0000028634806,0.00006367676,0.00006130783,0.00086113246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986223,0.000030728293,0.00023243338,0.0006867458,0.00008590219,0.00034188374],"domain_scores_gemma":[0.99883395,0.000066832814,0.00011852397,0.0007420073,0.00007882983,0.00015988122],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008213201,0.00042149282,0.00044328216,0.00029347758,0.00013850439,0.000031823776,0.0004783114,0.00041115697,0.00011593988],"category_scores_gemma":[0.000034141274,0.0004790916,0.00011924596,0.0004486993,0.00017127916,0.00014808026,0.00066968694,0.001089152,0.000027906537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035700414,0.00016861902,0.0011967323,0.00018724035,0.0003316886,0.00015683164,0.000078655845,0.961347,0.0011854144,0.029702064,0.0001952643,0.0054148026],"study_design_scores_gemma":[0.001179247,0.00034526776,0.0018402534,0.00035028512,0.00055427087,0.0000023921084,0.00007569807,0.8060945,0.0064761303,0.16548319,0.0152072515,0.0023914992],"about_ca_topic_score_codex":0.00006987452,"about_ca_topic_score_gemma":0.00004258097,"teacher_disagreement_score":0.29797116,"about_ca_system_score_codex":0.00013916133,"about_ca_system_score_gemma":0.000020930467,"threshold_uncertainty_score":0.99976605},"labels":[],"label_agreement":null},{"id":"W2172112858","doi":"10.1109/smi.2010.39","title":"Local Constraint-Based General Surface Deformation","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Subdivision surface; Subdivision; Constraint (computer-aided design); Surface (topology); Spline (mechanical); Computer science; Parametric statistics; Mathematical optimization; Basis function; Deformation (meteorology); Set (abstract data type); Search engine indexing; Parametric surface; Algorithm; Mathematics; Geometry; Artificial intelligence; Mathematical analysis; Engineering; Structural engineering; Physics","score_opus":0.004564923200090377,"score_gpt":0.21998143737815093,"score_spread":0.21541651417806054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172112858","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23205754,0.0000032984415,0.76170576,0.000040255458,0.000038707687,0.00003200071,0.0000013669575,0.0007416706,0.0053794007],"genre_scores_gemma":[0.79235107,0.0000010480985,0.20746852,0.00007553505,0.000012928519,0.000002649711,0.0000113229635,0.0000086069285,0.00006829588],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962604,0.0000039359184,0.00011695042,0.00006136184,0.000073724565,0.00011801522],"domain_scores_gemma":[0.99977523,0.000015714964,0.00000971594,0.00012723228,0.00002273834,0.000049394584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000044625776,0.00007295234,0.00008033373,0.000026171429,0.00001874129,0.000010435109,0.000062368366,0.000051528234,0.00042333076],"category_scores_gemma":[0.0000074071813,0.000061746,0.00003750825,0.0001063761,0.000053323296,0.000097612996,0.000006083774,0.00014221655,0.00011740561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002806323,0.000020612055,0.00046170852,0.000018398,0.000018828076,0.0000014317968,0.000019584144,0.51258916,0.4316348,0.0050949585,0.0016383843,0.048499312],"study_design_scores_gemma":[0.0000700892,0.0000058079704,0.00011819293,0.0000012951793,0.0000048195016,0.0000022330712,0.0000052173805,0.78083885,0.20221525,0.00053470087,0.01608291,0.00012064886],"about_ca_topic_score_codex":0.000015403744,"about_ca_topic_score_gemma":0.00006252396,"teacher_disagreement_score":0.56029356,"about_ca_system_score_codex":0.000019474857,"about_ca_system_score_gemma":0.0000050863323,"threshold_uncertainty_score":0.4635175},"labels":[],"label_agreement":null},{"id":"W2172455330","doi":"10.1007/978-3-642-10649-1_20","title":"A Discrete Approach to Multiresolution Curves and Surfaces","year":2009,"lang":"en","type":"book-chapter","venue":"Transactions on computational science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Subdivision; Subdivision surface; Computer science; Biorthogonal wavelet; Multiresolution analysis; Biorthogonal system; Representation (politics); Constraint (computer-aided design); Simple (philosophy); Wavelet; Basis (linear algebra); Algorithm; Topology (electrical circuits); Theoretical computer science; Mathematics; Artificial intelligence; Wavelet transform; Geometry; Discrete wavelet transform","score_opus":0.014306883242734051,"score_gpt":0.2517694362526643,"score_spread":0.23746255300993024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172455330","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000031253887,0.00027549933,0.9355254,0.0001588105,0.00003001849,0.00022633134,0.00003535244,0.0003460314,0.06337129],"genre_scores_gemma":[0.53682715,0.0010551107,0.4364248,0.0006337958,0.000055271572,0.000058306898,0.00005959787,0.00007612211,0.024809882],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987976,0.000004785993,0.00019304919,0.00036365254,0.00047286478,0.00016803807],"domain_scores_gemma":[0.9995624,0.000056720135,0.00003211202,0.00013032078,0.00008094203,0.00013749306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010917554,0.00020234448,0.0002002722,0.00027910442,0.00019650975,0.000038871694,0.0001784583,0.0000582377,0.000016911905],"category_scores_gemma":[0.0000048544184,0.00019563345,0.00005700738,0.0002330628,0.000223711,0.00018732037,0.000004216877,0.00021045729,0.000017335196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002874562,0.000012293835,1.401008e-7,0.000026917918,0.000011219574,3.8009975e-7,0.000027680484,0.9460849,0.00007112475,0.0038020434,0.00007177606,0.049888637],"study_design_scores_gemma":[0.000090382535,0.000108064996,0.00034151255,0.0003264243,0.000052021933,0.000011506118,0.000005401379,0.96912163,0.00018572289,0.022582876,0.006613788,0.00056065083],"about_ca_topic_score_codex":0.000004791098,"about_ca_topic_score_gemma":0.00000284722,"teacher_disagreement_score":0.53679585,"about_ca_system_score_codex":0.00013218645,"about_ca_system_score_gemma":0.00002631381,"threshold_uncertainty_score":0.79777},"labels":[],"label_agreement":null},{"id":"W2172716504","doi":"10.1007/978-3-642-01591-5_10","title":"Robustness of Boolean Operations on Subdivision-Surface Models","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Polygon mesh; Subdivision; Robustness (evolution); Computer science; A priori and a posteriori; Subdivision surface; Algorithm; Mathematical optimization; Theoretical computer science; Mathematics; Computer graphics (images)","score_opus":0.01465681710401791,"score_gpt":0.24395637234872442,"score_spread":0.2292995552447065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2172716504","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00034962132,0.00021877004,0.9964256,0.00006560262,0.00015867034,0.00017171471,0.0000060611815,0.00023540248,0.0023685368],"genre_scores_gemma":[0.5261676,0.00012131306,0.47324255,0.00016333324,0.00010904187,0.000002342123,0.0000069546477,0.000040895306,0.00014599504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998377,0.000008250848,0.000368609,0.0004972346,0.00048251674,0.0002663373],"domain_scores_gemma":[0.9990288,0.00012123589,0.000054345815,0.000602699,0.00011961559,0.00007331049],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016234674,0.0003220596,0.00044839323,0.00032611287,0.00006950838,0.00004986866,0.00072129373,0.00018234126,0.000014985964],"category_scores_gemma":[0.000018620194,0.0002879557,0.00009784828,0.00035966528,0.0002341995,0.00022628003,0.00011300921,0.0004905572,0.0000036561771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012246824,0.000008971931,4.7197037e-7,0.000010286201,0.000004621005,0.000002946586,0.000036210742,0.83766776,0.00024875542,0.0016875576,0.000007194637,0.16032399],"study_design_scores_gemma":[0.00004387319,0.00007606718,0.0000034921586,0.00022717334,0.0000074013483,0.0000024234816,4.9967845e-8,0.96165293,0.0074062194,0.030213293,0.000081287784,0.00028579135],"about_ca_topic_score_codex":0.000004922787,"about_ca_topic_score_gemma":0.000013243293,"teacher_disagreement_score":0.52581793,"about_ca_system_score_codex":0.0001632195,"about_ca_system_score_gemma":0.000042520318,"threshold_uncertainty_score":0.99995726},"labels":[],"label_agreement":null},{"id":"W2176512575","doi":"","title":"Accurate approximate solution of partial differential equations at off-mesh points","year":2002,"lang":"en","type":"book","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Collocation (remote sensing); Partial differential equation; Interpolation (computer graphics); Polygon mesh; Collocation method; Domain (mathematical analysis); Set (abstract data type); Mathematics; Computer science; Applied mathematics; Algorithm; Mathematical optimization; Differential equation; Ordinary differential equation; Mathematical analysis; Geometry","score_opus":0.021011875022872432,"score_gpt":0.24356674742952397,"score_spread":0.22255487240665153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2176512575","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000044914832,0.00024880798,0.87401134,0.000020357835,0.00011972654,0.00025348325,0.00006961424,0.0008664032,0.12436535],"genre_scores_gemma":[0.08149442,0.0012966188,0.01059598,0.000031519085,0.00041895983,0.00014877706,0.0010567545,0.00024016299,0.9047168],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984982,0.000020507314,0.0005946149,0.00028196946,0.00030951403,0.0002952106],"domain_scores_gemma":[0.99919116,0.00007466876,0.00018135272,0.00040108082,0.00006870541,0.00008302917],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004184209,0.0003485021,0.000584187,0.00018100053,0.00005384465,0.000013947592,0.00021436632,0.00030213688,0.0024526406],"category_scores_gemma":[0.000028440512,0.00032734833,0.00027854022,0.000117361466,0.000079872305,0.00012185173,0.00012600506,0.00026272953,0.00017307457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001416947,0.00070599746,0.00002219734,0.0023618727,0.0036149968,0.000038224633,0.00048016667,0.039859056,0.044510666,0.06767622,0.7313857,0.10920323],"study_design_scores_gemma":[0.00026985916,0.000055005134,0.0000086181335,0.00011989077,0.00033319855,0.0000022980175,0.0000019006745,0.93745226,0.016151777,0.0043636253,0.040524714,0.00071687414],"about_ca_topic_score_codex":0.0000037829936,"about_ca_topic_score_gemma":0.000011383398,"teacher_disagreement_score":0.8975932,"about_ca_system_score_codex":0.00033423715,"about_ca_system_score_gemma":0.000013287828,"threshold_uncertainty_score":0.99991786},"labels":[],"label_agreement":null},{"id":"W2181537436","doi":"","title":"Quadrics of Revolution on Given Points","year":2009,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Conic section; Quadric; Mathematics; Surface of revolution; Constraint (computer-aided design); Matrix (chemical analysis); Set (abstract data type); Combinatorics; Mathematical proof; Pure mathematics; Geometry; Computer science; Surface (topology)","score_opus":0.007726330572013086,"score_gpt":0.21859192126178764,"score_spread":0.21086559068977456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2181537436","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09286833,0.00045608706,0.82561237,0.004407023,0.000042120446,0.0001887865,0.000011404725,0.0007789307,0.07563494],"genre_scores_gemma":[0.9334605,0.0002694528,0.065515675,0.000057408237,0.0000060688276,0.0000058050377,0.000029604798,0.000015099636,0.00064038683],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986644,0.0004990784,0.00027686093,0.00019037495,0.00020534685,0.00016398421],"domain_scores_gemma":[0.9984187,0.00029856237,0.000101566715,0.00068884395,0.0004235119,0.000068838395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008684416,0.00012405148,0.00018767541,0.00012375864,0.00006482605,0.000019477522,0.0003210733,0.00006865222,0.000041171646],"category_scores_gemma":[0.00045512663,0.00012853145,0.00009305426,0.00047185522,0.000057760608,0.00010655724,0.000037111953,0.00015726412,0.000024128218],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028590788,0.0011068772,0.0012435239,0.00011630291,0.00010200727,0.0000051842862,0.0034547192,0.0037003402,0.1563119,0.24174808,0.0077468334,0.58443564],"study_design_scores_gemma":[0.00036496532,0.0000025166028,0.011082482,0.00065733586,0.000033689394,0.0000037040288,0.00004182745,0.060734805,0.8849426,0.025347076,0.016375696,0.0004132877],"about_ca_topic_score_codex":0.00003523238,"about_ca_topic_score_gemma":0.00003310422,"teacher_disagreement_score":0.84059215,"about_ca_system_score_codex":0.00007594277,"about_ca_system_score_gemma":0.000010244047,"threshold_uncertainty_score":0.524136},"labels":[],"label_agreement":null},{"id":"W2203945609","doi":"","title":"Analysis of the Weight Function for Implicit Moving Least Squares Techniques","year":2014,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Function (biology); Moving least squares; Applied mathematics; Statistics; Econometrics; Biology","score_opus":0.004476849567223779,"score_gpt":0.1950242052392883,"score_spread":0.19054735567206452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2203945609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91710484,0.00015940858,0.08041395,0.00011112848,0.000167155,0.00059450715,0.000120940014,0.0005645724,0.0007634704],"genre_scores_gemma":[0.94745386,0.00015882503,0.009999299,0.000010951272,0.000050785722,0.0000066616967,0.0006429406,0.000070062924,0.04160664],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999139,0.000027894248,0.00019163954,0.0002481315,0.0002087016,0.00018463809],"domain_scores_gemma":[0.99901116,0.000052059888,0.0002783061,0.0004207939,0.00019950533,0.000038147104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000095694406,0.00022543044,0.0006491052,0.0005900944,0.000112183785,0.0000074822233,0.000402765,0.00025343327,0.000053718195],"category_scores_gemma":[0.000013832458,0.00020831251,0.0006613654,0.0008132861,0.000056137087,0.0001274302,0.0000390002,0.00017164343,0.000001342381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011627103,0.00035186778,0.011311964,0.006509108,0.023277963,0.0000047798117,0.045910332,0.049382865,0.6137275,0.0038448672,0.00972833,0.23478769],"study_design_scores_gemma":[0.0012234523,0.00091363036,0.08342592,0.0015171085,0.045675244,0.0000014050719,0.067898005,0.15492006,0.6128431,0.0054278052,0.02280897,0.0033452907],"about_ca_topic_score_codex":0.003115025,"about_ca_topic_score_gemma":0.014751639,"teacher_disagreement_score":0.2314424,"about_ca_system_score_codex":0.00008502696,"about_ca_system_score_gemma":0.000011062904,"threshold_uncertainty_score":0.8494738},"labels":[],"label_agreement":null},{"id":"W2213558218","doi":"10.1007/s10107-017-1123-x","title":"Integral simplex using decomposition with primal cutting planes","year":2017,"lang":"en","type":"article","venue":"Mathematical Programming","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis","funders":"","keywords":"Mathematics; Simplex; Decomposition; Calculus (dental); Geometry","score_opus":0.022860104221093514,"score_gpt":0.31905729845022046,"score_spread":0.29619719422912694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2213558218","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21932109,0.000021385498,0.7777077,0.000033740616,0.000016056136,0.0002058593,9.927636e-7,0.00076128216,0.0019319286],"genre_scores_gemma":[0.60222965,6.7319405e-7,0.39766636,0.0000057949574,0.00004014495,0.00001866887,0.0000033158801,0.000028748187,0.000006650309],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99900705,0.000011241475,0.0002567763,0.00018119082,0.00019133824,0.000352393],"domain_scores_gemma":[0.99935687,0.00006252254,0.00009238517,0.00036160238,0.000033050776,0.00009354492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012633143,0.00019324858,0.0002902655,0.000053876676,0.00030778226,0.00024444374,0.0002497274,0.00006360238,0.000036289322],"category_scores_gemma":[0.00007778394,0.00014772324,0.000068319496,0.00006964741,0.00012573691,0.00031596937,0.000068878566,0.00020151051,0.000015672802],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006414028,0.00032302598,0.0032233745,0.0013284944,0.00038773837,0.00018737656,0.0007831845,0.009724202,0.014599173,0.019488674,0.000048317364,0.9498423],"study_design_scores_gemma":[0.00039409436,0.00015640853,0.00024479802,0.0006282814,0.0001853203,0.0001711644,0.00023192917,0.94045776,0.023149004,0.03136288,0.0022095442,0.0008088427],"about_ca_topic_score_codex":0.000009433931,"about_ca_topic_score_gemma":0.0000032087496,"teacher_disagreement_score":0.94903344,"about_ca_system_score_codex":0.00006940412,"about_ca_system_score_gemma":0.000005000603,"threshold_uncertainty_score":0.6023979},"labels":[],"label_agreement":null},{"id":"W2235096920","doi":"","title":"NSIBM : un solveur parallèle de Navier-Stokes avec raffinement automatique basé sur la méthode des frontières immergées","year":2015,"lang":"fr","type":"dissertation","venue":"Serveur des thèses de l'Université de Strasbourg (University of Strasbourg)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Physics; Art","score_opus":0.011733303795031578,"score_gpt":0.2154315278735612,"score_spread":0.20369822407852964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2235096920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8612176,0.0041218684,0.12867056,0.00030379478,0.00014373996,0.00058005715,0.0004728328,0.00086520665,0.0036243277],"genre_scores_gemma":[0.78659946,0.009302222,0.19759247,0.000040679693,0.0000981591,0.00000475749,0.00061654387,0.00022781121,0.0055179256],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9939735,0.0009265701,0.0008656062,0.0011942858,0.0009604082,0.002079627],"domain_scores_gemma":[0.99522793,0.000652768,0.0010050739,0.00089881534,0.00092960394,0.0012857835],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0011305052,0.0014750552,0.0019174744,0.00090627576,0.0012005491,0.0001419945,0.0020464235,0.0014090736,0.002574761],"category_scores_gemma":[0.00020633376,0.002043456,0.0013063775,0.0012632277,0.0012092434,0.0015764539,0.00052912004,0.0014629178,0.000064557215],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034388588,0.0030538703,0.11518685,0.012212775,0.011167837,0.009122436,0.13576669,0.27859247,0.12583712,0.006219903,0.019650817,0.27975038],"study_design_scores_gemma":[0.008700458,0.001985397,0.58367634,0.006625885,0.009591052,0.0010362647,0.10167311,0.11119318,0.099570766,0.04253535,0.025166083,0.0082461415],"about_ca_topic_score_codex":0.014810582,"about_ca_topic_score_gemma":0.024828753,"teacher_disagreement_score":0.46848947,"about_ca_system_score_codex":0.00455926,"about_ca_system_score_gemma":0.0010130733,"threshold_uncertainty_score":0.9998873},"labels":[],"label_agreement":null},{"id":"W2236537021","doi":"","title":"Programming of a machining procedure for adaptive spiral cutting trajectories","year":2008,"lang":"en","type":"article","venue":"Espace ÉTS (ETS)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Bombardier (Canada); Polytechnique Montréal; Université du Québec à Montréal","funders":"","keywords":"Machining; Spiral (railway); Tool path; Macro; Engineering drawing; Path (computing); Mechanical engineering; Computer science; Software; CAD; Engineering; Computer-aided manufacturing","score_opus":0.014959105913898716,"score_gpt":0.2573447538362976,"score_spread":0.24238564792239892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2236537021","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4737813,0.00071189285,0.52219826,0.00007481138,0.000091446265,0.00075356365,0.000014288992,0.0014327038,0.00094174076],"genre_scores_gemma":[0.82270545,0.000016877588,0.17688115,0.000012662395,0.00008309453,0.00012371536,0.000004971055,0.00004913212,0.00012295754],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989888,0.000013096885,0.00026262546,0.00022272475,0.00017276056,0.00033998018],"domain_scores_gemma":[0.9995045,0.000093507144,0.00009451786,0.00016270454,0.00007824187,0.000066542176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009408634,0.00020609771,0.00034886005,0.000110757115,0.00010680526,0.000010004102,0.00014122676,0.00007921234,0.0000069825337],"category_scores_gemma":[0.00015024663,0.00019712842,0.0001439649,0.00039138604,0.00007558258,0.000192852,0.000028710072,0.00017972426,0.000002236957],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010381942,0.0008552906,0.08153186,0.0035686397,0.0021135816,0.00017393377,0.06647513,0.18023139,0.15383242,0.012175427,0.0045887474,0.4934154],"study_design_scores_gemma":[0.002610491,0.0020505926,0.0073537435,0.000995629,0.0004422895,0.00015968205,0.0072617233,0.3480815,0.58007896,0.0030074045,0.0447838,0.0031741674],"about_ca_topic_score_codex":0.000013645691,"about_ca_topic_score_gemma":0.000015566577,"teacher_disagreement_score":0.4902412,"about_ca_system_score_codex":0.00006019778,"about_ca_system_score_gemma":0.000020546631,"threshold_uncertainty_score":0.8038664},"labels":[],"label_agreement":null},{"id":"W2238077474","doi":"","title":"","year":2014,"lang":"en","type":"preprint","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Heading (navigation); Mathematics education; Mathematics; Geography; Geodesy","score_opus":0.007208514400860186,"score_gpt":0.23815108937486085,"score_spread":0.23094257497400067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2238077474","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.073886245,0.00023233236,0.9083531,0.00013218804,0.00017818155,0.00025180393,0.000004323389,0.013913672,0.0030481343],"genre_scores_gemma":[0.79995346,0.00024978723,0.1989873,0.00020156869,0.00016405797,0.0002622106,0.00004275399,0.00010041346,0.000038416278],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99798614,0.000035349247,0.000633063,0.0005764994,0.00029444206,0.00047453245],"domain_scores_gemma":[0.99827886,0.000084008716,0.00007180267,0.0013002277,0.00007084451,0.00019424224],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015259396,0.000630699,0.00097237993,0.00022989695,0.00003411545,0.00007580621,0.00079306896,0.0005073499,0.000026387854],"category_scores_gemma":[0.00004269776,0.00058060867,0.00040377717,0.00018609784,0.000056568268,0.00008747597,0.0008857459,0.001291808,0.000011833361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015752579,0.00001091681,0.00017286403,0.0002461381,0.00014292206,0.0000033108565,0.000023481167,0.980105,0.0018094217,0.00035837694,0.00072337006,0.016402654],"study_design_scores_gemma":[0.00007802506,0.000018562965,0.00033567933,0.000082622835,0.00008229026,0.0000019921165,0.000007240792,0.8627219,0.042725626,0.089857765,0.003083342,0.0010049591],"about_ca_topic_score_codex":0.00004161045,"about_ca_topic_score_gemma":0.000023952964,"teacher_disagreement_score":0.72606725,"about_ca_system_score_codex":0.00016620457,"about_ca_system_score_gemma":0.0000063577877,"threshold_uncertainty_score":0.99966455},"labels":[],"label_agreement":null},{"id":"W2243421727","doi":"","title":"Calculs de structures basés sur la technique des Level Sets et la méthode de partition de l'unité","year":2009,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Humanities; Mathematics; Physics; Philosophy","score_opus":0.028350488043556037,"score_gpt":0.2793560357660425,"score_spread":0.25100554772248646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2243421727","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041685686,0.0010400232,0.93473643,0.0024183004,0.000036156292,0.0005150138,0.00015814803,0.001055383,0.018354882],"genre_scores_gemma":[0.41669628,0.0024629217,0.57864416,0.00013290507,0.000018797286,0.00020048338,0.00026735986,0.0000941494,0.0014829622],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9819332,0.015059836,0.0008130818,0.00083155296,0.00043219555,0.000930166],"domain_scores_gemma":[0.99287707,0.0032082347,0.0004474841,0.0018262882,0.0011857216,0.00045520827],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.010654152,0.0007010549,0.0007173184,0.00032296855,0.0003628942,0.00043828713,0.0013728399,0.0009540827,0.00018347165],"category_scores_gemma":[0.0031271074,0.00081628416,0.00042411106,0.0007196132,0.0005284734,0.00034719723,0.00069036346,0.0018578041,0.0000161233],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035848116,0.0009666959,0.005452996,0.00081040594,0.000345626,0.00009031681,0.008393552,0.040125206,0.17529188,0.4379882,0.0018560775,0.32864323],"study_design_scores_gemma":[0.0003220802,0.0000015090751,0.025208749,0.0027177923,0.00018349238,0.00018362633,0.000067616704,0.050777968,0.5484727,0.35229537,0.018815324,0.00095379434],"about_ca_topic_score_codex":0.004313142,"about_ca_topic_score_gemma":0.0022514637,"teacher_disagreement_score":0.3750106,"about_ca_system_score_codex":0.0010152818,"about_ca_system_score_gemma":0.00048585658,"threshold_uncertainty_score":0.9994288},"labels":[],"label_agreement":null},{"id":"W2251131053","doi":"10.1007/978-3-319-22804-4_23","title":"Adaptive Atlas of Connectivity Maps","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Atlas (anatomy); Cartography; Geography; Computer science; Geology; Paleontology","score_opus":0.02026085975850502,"score_gpt":0.24863008444857174,"score_spread":0.2283692246900667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2251131053","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00008100465,0.0005598916,0.9914627,0.000024253344,0.0002187507,0.00014595814,0.000012471441,0.00022030843,0.0072746268],"genre_scores_gemma":[0.69386023,0.000045734414,0.3056853,0.000058002162,0.00017546139,0.000005989952,0.000005304742,0.000048226586,0.00011572647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849534,0.000010206768,0.0002915325,0.00046347518,0.00047092786,0.00026849378],"domain_scores_gemma":[0.99891174,0.00022593445,0.00010496076,0.00047846144,0.00018769056,0.00009121019],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026693835,0.0003008601,0.00053265423,0.0003713813,0.000028796221,0.000019873909,0.0006103729,0.00019356435,0.000017766348],"category_scores_gemma":[0.000063176114,0.00027322152,0.000093968396,0.00034901974,0.0005058016,0.0001553983,0.00023304974,0.00049045624,0.000011647037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007830431,0.000013574216,0.000027217284,0.000041133033,0.00002980189,0.000021539918,0.00015072187,0.540638,0.00067815604,0.0035665578,0.0000948088,0.4547306],"study_design_scores_gemma":[0.00012639246,0.00019301572,0.000029431965,0.00026837375,0.000021787466,0.000012360758,1.6874056e-7,0.49231222,0.016120875,0.48796937,0.0023362562,0.0006097566],"about_ca_topic_score_codex":0.000013925634,"about_ca_topic_score_gemma":0.000041374842,"teacher_disagreement_score":0.69377923,"about_ca_system_score_codex":0.00028706947,"about_ca_system_score_gemma":0.000072009716,"threshold_uncertainty_score":0.999972},"labels":[],"label_agreement":null},{"id":"W2251714715","doi":"10.1007/s00170-015-7641-x","title":"A new methodology for evaluating position and orientation errors of airfoil sections","year":2015,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Airfoil; Centroid; Orientation (vector space); Position (finance); Consistency (knowledge bases); Computer science; Engineering; Artificial intelligence; Mathematics; Structural engineering; Geometry","score_opus":0.0472809355583006,"score_gpt":0.3626093707799264,"score_spread":0.3153284352216258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2251714715","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46124116,0.00018596293,0.53709376,0.0010343317,0.00027285382,0.00007116437,0.0000019497713,0.00006895778,0.000029884712],"genre_scores_gemma":[0.60635865,0.00007463126,0.39344868,0.00002316583,0.00005642878,0.000007701125,0.0000017056157,0.000010912278,0.000018154149],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999195,0.000022276856,0.0003899972,0.000087169006,0.00020218577,0.00010338718],"domain_scores_gemma":[0.99905163,0.00019007456,0.0002962269,0.00010427253,0.0003177548,0.000040063303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038932211,0.00009341065,0.00020655354,0.00037715802,0.000027800772,0.000007747121,0.00030167194,0.00006946168,0.000003722878],"category_scores_gemma":[0.0003571679,0.000073094474,0.00006257236,0.000115391114,0.00006146774,0.00018802604,0.000055607547,0.00019084814,3.8140502e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003844293,0.000028110939,0.00010091344,0.000022339182,0.00042455015,0.0000058683445,0.00046379762,0.3366763,0.32446405,0.004173732,0.00034835737,0.33290756],"study_design_scores_gemma":[0.0005972945,0.0002960268,0.00010135597,0.000032938588,0.00005352613,0.00019225267,0.000401134,0.002506238,0.818676,0.17640634,0.00066676707,0.00007013499],"about_ca_topic_score_codex":0.000007651591,"about_ca_topic_score_gemma":0.0000072755556,"teacher_disagreement_score":0.49421194,"about_ca_system_score_codex":0.00013479582,"about_ca_system_score_gemma":0.000029753148,"threshold_uncertainty_score":0.29807064},"labels":[],"label_agreement":null},{"id":"W2253418547","doi":"10.1007/s40314-015-0276-6","title":"Piecewise rational interpolation by witch of Agnesi","year":2015,"lang":"en","type":"article","venue":"Computational and Applied Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Courant Institute of Mathematical Sciences, New York University; Canadian Mathematical Society; Industrial Technology Research Institute; American Institute of Mathematics; WILEY; Elsevier Foundation; Springfield Foundation","keywords":"Interpolation (computer graphics); Piecewise; Mathematics; Bilinear interpolation; Nearest-neighbor interpolation; Stairstep interpolation; Applied mathematics; Trilinear interpolation; Inverse quadratic interpolation; Function (biology); Multivariate interpolation; Linear interpolation; Spline interpolation; Mathematical analysis; Mathematical optimization; Algorithm; Computer science; Statistics; Artificial intelligence","score_opus":0.012710864581258842,"score_gpt":0.23373984035541662,"score_spread":0.22102897577415778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2253418547","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.040356547,0.00008999333,0.9560846,0.000029131988,0.000011025376,0.00007624796,0.0000082598,0.00010785546,0.003236308],"genre_scores_gemma":[0.7058609,0.0000034858494,0.29402852,0.000015809808,0.000011927263,0.000010698814,0.000041939078,0.000008126227,0.000018552164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995248,0.000002145382,0.00020320137,0.00006625215,0.00014868678,0.0000549176],"domain_scores_gemma":[0.99973685,0.00007016272,0.000046803907,0.000046222292,0.000054233595,0.00004575237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056622055,0.0000745463,0.00013200061,0.000037128582,0.000014646938,0.000008627365,0.000043861182,0.00002610908,0.0000094121515],"category_scores_gemma":[0.000011137912,0.000068585236,0.000015902568,0.00010174934,0.000035501693,0.00004948485,0.000017483939,0.0000397173,0.00000549248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026174426,0.00036553078,0.00017208366,0.0005358742,0.00015825109,7.679308e-7,0.002184051,0.5496169,0.039013132,0.35597467,0.02490757,0.027045034],"study_design_scores_gemma":[0.00017605432,0.000015067583,0.000039777973,0.000011582852,0.0000137607885,0.0000024484243,0.000103406375,0.6812972,0.0034118134,0.31448957,0.00033715265,0.00010215798],"about_ca_topic_score_codex":3.5728132e-7,"about_ca_topic_score_gemma":1.3585901e-7,"teacher_disagreement_score":0.6655044,"about_ca_system_score_codex":0.000013565051,"about_ca_system_score_gemma":0.0000068807494,"threshold_uncertainty_score":0.27968246},"labels":[],"label_agreement":null},{"id":"W2260137199","doi":"10.1115/msec2006-21068","title":"A New Approach to G1 Biarc Approximations for Making Smooth, Accurate, and Non-Gouged Profile Features Using CNC Contouring","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Contouring; Bézier curve; Machining; Algorithm; Numerical control; Computer science; Spline (mechanical); RADIUS; Curve fitting; Arc length; Geometry; Engineering drawing; Mathematics; Mathematical optimization; Arc (geometry); Computer graphics (images); Engineering; Mechanical engineering; Machine learning","score_opus":0.01855212450438757,"score_gpt":0.2778889766587833,"score_spread":0.2593368521543957,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2260137199","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0074334596,0.00008002602,0.97553533,0.0000418311,0.000021628533,0.0007407202,0.0000089652995,0.0006158012,0.015522205],"genre_scores_gemma":[0.3897595,0.000001767127,0.6092594,0.000032477077,0.00009595526,0.00010776548,0.000011642073,0.00003441181,0.00069701736],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990493,0.000008252286,0.0002471538,0.00027677626,0.00011142009,0.0003071023],"domain_scores_gemma":[0.99958646,0.00005722835,0.000040287443,0.00019239509,0.00004489022,0.00007875502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007875584,0.00019819848,0.0002680606,0.00017535797,0.00011889597,0.00009749909,0.0001210309,0.00007883444,0.000016177873],"category_scores_gemma":[0.000032585438,0.00018179487,0.00006771344,0.00040128754,0.000015765872,0.00023864793,0.00004887888,0.000110165034,0.000002408858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000075774195,0.00019380466,0.0006542078,0.0010084446,0.00026039415,0.0000042943707,0.000776874,0.58971345,0.28356794,0.015866429,0.041802526,0.066075884],"study_design_scores_gemma":[0.00056597515,0.000032590313,0.0012624095,0.000097480915,0.00008741521,0.000011852505,0.00018950822,0.9273937,0.058547467,0.0055434946,0.005510822,0.00075728085],"about_ca_topic_score_codex":0.0001296705,"about_ca_topic_score_gemma":0.0000371161,"teacher_disagreement_score":0.38232607,"about_ca_system_score_codex":0.00007794517,"about_ca_system_score_gemma":0.000012000991,"threshold_uncertainty_score":0.74133795},"labels":[],"label_agreement":null},{"id":"W2279877162","doi":"10.1115/detc2015-46047","title":"Considering Machining Tolerances in High Speed Corner Tracking","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Trajectory; Machining; Acceleration; Tracking (education); Trajectory optimization; Numerical control; Computer science; Limit (mathematics); Control theory (sociology); Machine tool; Optimization problem; Engineering; Algorithm; Mechanical engineering; Control (management); Mathematics; Artificial intelligence","score_opus":0.031864531640398056,"score_gpt":0.2624652968313377,"score_spread":0.23060076519093964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2279877162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8532008,0.00040627428,0.11880124,0.00009547303,0.00015149376,0.00010357041,9.0099167e-7,0.0015679625,0.025672294],"genre_scores_gemma":[0.96585196,0.000015667292,0.03391638,0.00007847239,0.000037877475,0.00000456576,0.0000019210172,0.000022744316,0.00007042707],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992895,0.0000109994335,0.00022997642,0.0001403189,0.00011961723,0.0002095624],"domain_scores_gemma":[0.9997196,0.00003996922,0.00001945214,0.0001231564,0.000022278084,0.0000754958],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001188004,0.000120429,0.00022527529,0.00010578192,0.000013471827,0.000024947589,0.0000905921,0.000042040658,0.000057116133],"category_scores_gemma":[0.0000401043,0.00010976902,0.000030899482,0.00025961886,0.000022570295,0.00022944283,0.000023650457,0.000157428,0.00002418321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001885437,0.000042774893,0.05466171,0.00004138321,0.000058083107,0.00010906582,0.0008275096,0.85239846,0.013413769,0.0026805035,0.001120704,0.074627176],"study_design_scores_gemma":[0.001543386,0.00008430015,0.009854673,0.00017890004,0.00003401264,0.000033737204,0.0010162237,0.8195397,0.13282077,0.02486097,0.008712898,0.0013204124],"about_ca_topic_score_codex":0.00011376488,"about_ca_topic_score_gemma":0.00008552698,"teacher_disagreement_score":0.119407,"about_ca_system_score_codex":0.00007080086,"about_ca_system_score_gemma":0.000005575117,"threshold_uncertainty_score":0.44762504},"labels":[],"label_agreement":null},{"id":"W2282500447","doi":"10.1139/tcsme-2004-0004","title":"MULTI-POINT MACHINING WITH ANTI-GOUGING AND SCALLOP HEIGHT CONTROL","year":2004,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Machining; Point (geometry); Scallop; Position (finance); Estimator; Mechanical engineering; Multi point; Interference (communication); Computer science; Engineering; Geometry; Mathematics; Applied mathematics","score_opus":0.005013129896021592,"score_gpt":0.18909952440840783,"score_spread":0.18408639451238623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2282500447","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008520169,0.00012986097,0.9903933,0.00034946948,0.000062376945,0.00027312225,0.000044749086,0.0002190424,0.000007949631],"genre_scores_gemma":[0.8301997,0.00002138588,0.16960278,0.000068539666,0.000013235524,0.000043934047,0.0000014301986,0.000042934873,0.0000060155053],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924016,0.0000036128222,0.00020065307,0.00013930173,0.00009736538,0.00031888048],"domain_scores_gemma":[0.9995038,0.000048659727,0.000025260106,0.00018846773,0.00003432234,0.00019949532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010535277,0.00017287271,0.00025372664,0.000054364034,0.00017818194,0.000018263128,0.00015863926,0.00010179201,0.0000053270837],"category_scores_gemma":[0.00001342944,0.0001404419,0.00028305134,0.00027205062,0.000045359615,0.00011783708,0.0000037023776,0.0002763044,2.540274e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002953052,0.000011125501,0.0000071901213,0.00009333168,0.00026613154,5.815712e-7,0.0001745369,0.9653501,0.031874124,0.00088515936,0.0000049573487,0.0013298218],"study_design_scores_gemma":[0.0012517754,0.00005935535,0.000092299895,0.00015575996,0.00022589817,0.000019851623,0.00011387067,0.95276,0.04420238,0.00033424108,0.0004322688,0.00035234418],"about_ca_topic_score_codex":0.001736074,"about_ca_topic_score_gemma":0.005502019,"teacher_disagreement_score":0.8216796,"about_ca_system_score_codex":0.00028638644,"about_ca_system_score_gemma":0.00004527753,"threshold_uncertainty_score":0.5727055},"labels":[],"label_agreement":null},{"id":"W2284821525","doi":"10.1007/978-3-319-22804-4_27","title":"CINPACT-splines: A Class of $${C^{{\\infty }}}$$ Curves with Compact Support","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Class (philosophy); Mathematics; Pure mathematics; Computer science; Artificial intelligence","score_opus":0.018603174503164795,"score_gpt":0.26386780106039576,"score_spread":0.24526462655723097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2284821525","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000085243235,0.001010927,0.9888163,0.00012837336,0.00014435158,0.0002544895,0.000015265221,0.00032906156,0.009215979],"genre_scores_gemma":[0.7616405,0.00058439816,0.2360341,0.00070716045,0.0003412824,0.000010918219,0.00004882358,0.0001680274,0.00046478675],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976921,0.000010156112,0.00049540104,0.0005688723,0.0008234953,0.0004099958],"domain_scores_gemma":[0.99839765,0.00017619057,0.00019214762,0.0007547966,0.00030839434,0.00017080261],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032814778,0.00048113355,0.00085509697,0.00049514126,0.00003566196,0.000035191704,0.00088979374,0.00019257278,0.00007113006],"category_scores_gemma":[0.00004806566,0.00037001647,0.000111212285,0.00056765514,0.0006799898,0.0002411364,0.00014189776,0.0006230399,0.0000113365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003264864,0.00005481861,0.0005315252,0.0006340096,0.00012386913,0.00010120507,0.00029118248,0.83443785,0.0009399201,0.0008125964,0.0018365941,0.16020375],"study_design_scores_gemma":[0.00097211247,0.0018635947,0.0003582398,0.0067341435,0.00024647865,0.0002341192,0.0000013664635,0.83205557,0.028635664,0.09617062,0.029040948,0.003687127],"about_ca_topic_score_codex":0.000015360523,"about_ca_topic_score_gemma":0.0000650707,"teacher_disagreement_score":0.76155525,"about_ca_system_score_codex":0.00021189444,"about_ca_system_score_gemma":0.00018972918,"threshold_uncertainty_score":0.9998752},"labels":[],"label_agreement":null},{"id":"W2286337785","doi":"10.71781/10651","title":"Logarithme d'harmoniques sphériques pour le rendu d'ombres douces de champs de hauteurs et de maillages","year":2015,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Humanities; Art","score_opus":0.03528827819176644,"score_gpt":0.3591824076943996,"score_spread":0.32389412950263313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2286337785","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67357737,0.01066449,0.19756664,0.0029850246,0.00037107093,0.0015509306,0.000328228,0.0003365331,0.11261971],"genre_scores_gemma":[0.19578417,0.003904142,0.7737461,0.00017201193,0.0002853463,0.0002419599,0.0008543922,0.00025374367,0.024758162],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9965249,0.00045958784,0.0007608835,0.00082597806,0.00036330844,0.0010653869],"domain_scores_gemma":[0.9980209,0.00025952194,0.00040632064,0.0005788702,0.00023757592,0.0004968278],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013542413,0.00081205694,0.0010843395,0.0002991203,0.0001873295,0.0006348285,0.0014190641,0.0008113881,0.000723575],"category_scores_gemma":[0.00036243803,0.00088864646,0.00025796623,0.00040776574,0.00012580455,0.0008061432,0.00026599437,0.00095286634,0.0001592584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049129856,0.0010364123,0.005558542,0.0008255561,0.0019308387,0.0008917588,0.03568366,0.04178821,0.34823582,0.0031361117,0.04739359,0.5130282],"study_design_scores_gemma":[0.00058364746,0.00028166702,0.0030662895,0.0011757035,0.00041270684,0.00010778283,0.0061245356,0.0124726575,0.7725276,0.029600898,0.17181467,0.0018318489],"about_ca_topic_score_codex":0.012754922,"about_ca_topic_score_gemma":0.00542492,"teacher_disagreement_score":0.57617944,"about_ca_system_score_codex":0.0010428054,"about_ca_system_score_gemma":0.0013121222,"threshold_uncertainty_score":0.99935645},"labels":[],"label_agreement":null},{"id":"W2291692187","doi":"10.1177/1687814015620072","title":"Rolling ball method applied to 3½½-axis machining for tool orientation and positioning and path planning","year":2015,"lang":"en","type":"article","venue":"Advances in Mechanical Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Machining; Ball (mathematics); Curvature; Mechanical engineering; Orientation (vector space); Tool path; Machine tool; Cutting tool; Geometry; Computer science; Engineering; Mathematics","score_opus":0.009515360038786962,"score_gpt":0.2936175372543264,"score_spread":0.28410217721553943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291692187","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027002838,0.0010348231,0.9710836,0.00001682976,0.00009206721,0.00027454208,0.000003971127,0.00038816748,0.00010319417],"genre_scores_gemma":[0.49407798,0.0000476017,0.5056435,0.000039294388,0.000036895002,0.000118223266,0.0000056679864,0.00002987313,9.652139e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988909,0.0000121687535,0.0003232686,0.00032898952,0.00014080416,0.00030387635],"domain_scores_gemma":[0.9994099,0.00026834614,0.000031967484,0.00011346334,0.000027840011,0.00014844652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043132805,0.00020430898,0.00031717675,0.00016914292,0.000042611253,0.000037562426,0.00008486321,0.00007500607,9.249474e-7],"category_scores_gemma":[0.00021759179,0.00022182724,0.000027641066,0.0003010538,0.000008475993,0.00035831195,0.000058973466,0.0001979867,5.603477e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028781355,0.0000053886133,0.000053157375,0.000077117955,0.000013215631,0.0000032585087,0.00033346913,0.9013765,0.017006578,0.0113768745,0.0000026319774,0.06972307],"study_design_scores_gemma":[0.00044279476,0.00008458653,0.000038229246,0.0001310218,0.000019569618,0.0000074062846,0.00018213358,0.97891396,0.0089121265,0.00977198,0.0011641873,0.00033198486],"about_ca_topic_score_codex":0.0000024644353,"about_ca_topic_score_gemma":0.0000010423539,"teacher_disagreement_score":0.46707514,"about_ca_system_score_codex":0.000097642645,"about_ca_system_score_gemma":0.0000042340816,"threshold_uncertainty_score":0.9045852},"labels":[],"label_agreement":null},{"id":"W2293355758","doi":"10.1109/iccsa.2008.57","title":"NURBS Fusion","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Fusion; Intersection (aeronautics); Surface (topology); Base (topology); Bicubic interpolation; Algorithm; Point (geometry); Spline (mechanical); Parametric surface; Computer science; Subdivision; Mathematics; Geometry; Computer vision; Engineering; Mathematical analysis; Spline interpolation; Mechanical engineering","score_opus":0.008529054940951622,"score_gpt":0.2056412576702204,"score_spread":0.19711220272926877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293355758","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11893484,0.00011404218,0.74758995,0.000042765707,0.000033279957,0.000038251168,3.2203124e-7,0.0025216124,0.13072495],"genre_scores_gemma":[0.96577525,0.00014379184,0.032927368,0.000048491318,0.000018962717,0.000003707167,0.0000010768119,0.000008661207,0.0010726994],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977696,0.0000017730471,0.00005636488,0.000046028043,0.0000492042,0.00006966774],"domain_scores_gemma":[0.99987394,0.000006773344,0.0000030400433,0.00008422012,0.0000069882612,0.00002506827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000008322464,0.000040844297,0.00005624803,0.000024672048,0.000020399828,0.0000011710376,0.0000411625,0.000017515105,0.0002619074],"category_scores_gemma":[0.0000037323987,0.000033280965,0.000024641036,0.00011265658,0.000011697054,0.000045479057,0.000008586566,0.000037404898,0.00012306482],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010626538,0.00013830177,0.007293226,0.000045299883,0.000110389046,0.00014423893,0.00041901632,0.036840845,0.46454537,0.0066561783,0.22149025,0.26230627],"study_design_scores_gemma":[0.0002048294,0.000054857068,0.0065872367,0.00001019274,0.000013398527,0.00005390715,0.000024050516,0.12914747,0.5783847,0.0054178694,0.2795097,0.00059181487],"about_ca_topic_score_codex":0.0000037148955,"about_ca_topic_score_gemma":9.836739e-7,"teacher_disagreement_score":0.8468404,"about_ca_system_score_codex":0.000013233703,"about_ca_system_score_gemma":7.2996784e-7,"threshold_uncertainty_score":0.28677025},"labels":[],"label_agreement":null},{"id":"W2295436983","doi":"10.1007/978-3-319-27857-5_73","title":"CINAPACT-Splines: A Family of Infinitely Smooth, Accurate and Compactly Supported Splines","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Partition of unity; Box spline; Spline (mechanical); Cartesian coordinate system; Mathematics; Computer science; B-spline; Algorithm; Applied mathematics; Mathematical analysis; Geometry; Spline interpolation; Finite element method","score_opus":0.03248425669037186,"score_gpt":0.27951961355241833,"score_spread":0.24703535686204647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295436983","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030206903,0.0011944734,0.99299026,0.00005831071,0.00022155048,0.0002354775,0.000024008463,0.00030651447,0.0019487303],"genre_scores_gemma":[0.80558497,0.00040613842,0.19331099,0.00024618526,0.00022995219,0.0000070252513,0.000023442964,0.00008803383,0.00010329588],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99785066,0.0000112721245,0.0006199542,0.0005910453,0.0005334642,0.0003935821],"domain_scores_gemma":[0.9984392,0.0002799225,0.00021454936,0.0005793636,0.00030954543,0.0001774355],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031365303,0.0004985607,0.00083749206,0.00070836267,0.000046457302,0.000070318965,0.0006703077,0.00026259522,0.000014604874],"category_scores_gemma":[0.00009762728,0.0004325533,0.000094531955,0.00058366614,0.00067698053,0.00027242702,0.00027270446,0.0005553937,0.0000059309787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033237262,0.00003937525,0.00033977945,0.00032109706,0.00008697542,0.00007836415,0.00058649154,0.38508233,0.00765905,0.0008809799,0.00022323229,0.6046691],"study_design_scores_gemma":[0.0004909547,0.00034157705,0.000846298,0.0008105732,0.000080937265,0.00004383674,0.0000015611695,0.8695918,0.008620428,0.11008227,0.00765243,0.0014373828],"about_ca_topic_score_codex":0.000024685203,"about_ca_topic_score_gemma":0.000034167428,"teacher_disagreement_score":0.80256426,"about_ca_system_score_codex":0.00012487004,"about_ca_system_score_gemma":0.00011459543,"threshold_uncertainty_score":0.9998126},"labels":[],"label_agreement":null},{"id":"W2304897825","doi":"10.1080/16864360.2015.1114394","title":"5D Cubic B-Spline Interpolated Compensation of Geometry-Based Errors in Five-Axis Surface Machining","year":2015,"lang":"en","type":"article","venue":"Computer-Aided Design and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Monotone cubic interpolation; Geometry; Machining; Surface (topology); B-spline; Compensation (psychology); Spline interpolation; Mathematics; Materials science; Bicubic interpolation; Computer science; Engineering; Mathematical analysis; Computer vision; Mechanical engineering","score_opus":0.030496628114637086,"score_gpt":0.2671972755194065,"score_spread":0.2367006474047694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2304897825","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09662,0.00018954133,0.90244704,0.00005846999,0.000015410524,0.00033564563,0.000005314993,0.00028234726,0.000046227033],"genre_scores_gemma":[0.69659674,0.000013451004,0.30324632,0.00003703264,0.000014005101,0.000039758106,0.00003144395,0.000015752585,0.000005533438],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911636,0.000052215546,0.00036643585,0.00021037222,0.00010689072,0.00014772559],"domain_scores_gemma":[0.99927527,0.00022832006,0.00008025636,0.0002415715,0.00007813445,0.0000964489],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020629284,0.00014726503,0.00027646593,0.00021187542,0.000030765703,0.000016134421,0.0001572243,0.000064444066,0.0000047262474],"category_scores_gemma":[0.00001609769,0.00015285911,0.000038315546,0.0007821011,0.000054169974,0.000090505884,0.0000395218,0.00014522104,0.0000070579363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014497116,0.000085623135,0.0008969057,0.000038262526,0.000024509714,0.0000010063178,0.00012947351,0.9659128,0.009687738,0.00056612224,0.00030634998,0.022336695],"study_design_scores_gemma":[0.00033626595,0.000060493137,0.00077658665,0.000037257323,0.000013983848,0.0000013114781,0.000018370849,0.9887409,0.0075734956,0.0016804073,0.00060699886,0.00015391024],"about_ca_topic_score_codex":0.000034950277,"about_ca_topic_score_gemma":0.0000044329663,"teacher_disagreement_score":0.5999767,"about_ca_system_score_codex":0.000065863416,"about_ca_system_score_gemma":0.000016115098,"threshold_uncertainty_score":0.6233414},"labels":[],"label_agreement":null},{"id":"W2312324557","doi":"10.4153/cmb-2004-010-8","title":"Point Sets and Dynamical Systems In the Autocorrelation Topology","year":2004,"lang":"en","type":"article","venue":"Canadian Mathematical Bulletin","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Autocorrelation; Topology (electrical circuits); Group (periodic table); Abelian group; Discrete mathematics; Pure mathematics; Combinatorics; Statistics","score_opus":0.00563040540235992,"score_gpt":0.2138481291087471,"score_spread":0.20821772370638716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2312324557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47233075,0.0009034751,0.45659545,0.031511866,0.00016464225,0.0019319754,0.000024086958,0.0007128975,0.03582488],"genre_scores_gemma":[0.9963721,0.00000777467,0.0032159819,0.00026828176,0.00001427804,0.000071019625,0.000004328694,0.000013963829,0.000032283348],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99933743,0.000031072843,0.00020521511,0.00011149132,0.00007923362,0.00023552829],"domain_scores_gemma":[0.9995792,0.000111476584,0.0000129999,0.0001511656,0.000009351058,0.0001357887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016941095,0.00009850933,0.00016549684,0.00009513436,0.000034305605,0.00002587014,0.000108135806,0.000090152804,0.00022491862],"category_scores_gemma":[0.00010184441,0.000073804265,0.000024894533,0.00013283755,0.00006918527,0.000020773197,0.00000885812,0.00019391217,0.00041243812],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000038526773,0.00005620146,0.00017664624,0.00025365385,0.000036906207,0.00024220935,0.001267834,0.035913527,0.00014784338,0.95451474,0.0035089261,0.0038776398],"study_design_scores_gemma":[0.00079699664,0.00012965144,0.003255105,0.00032375086,0.00006401992,0.00054788444,0.0012594945,0.26558238,0.000071680995,0.680366,0.04674439,0.0008586767],"about_ca_topic_score_codex":0.0012083469,"about_ca_topic_score_gemma":0.0014100341,"teacher_disagreement_score":0.52404135,"about_ca_system_score_codex":0.00020970528,"about_ca_system_score_gemma":0.000015371685,"threshold_uncertainty_score":0.5301195},"labels":[],"label_agreement":null},{"id":"W2313168366","doi":"10.2514/6.2005-332","title":"Aerodynamic Optimisation of a Realistic Aircraft Wing","year":2005,"lang":"en","type":"article","venue":"43rd AIAA Aerospace Sciences Meeting and Exhibit","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Aerodynamics; Wing; Parametrization (atmospheric modeling); Representation (politics); Surface (topology); Computer science; Set (abstract data type); Inverse; Wing configuration; Aerospace engineering; Mathematics; Engineering; Geometry; Physics","score_opus":0.009057671077632444,"score_gpt":0.24036314393669447,"score_spread":0.23130547285906203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313168366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.969093,0.00050880946,0.022056695,0.000430502,0.000051418265,0.00009581341,0.0000027581873,0.00047165412,0.007289346],"genre_scores_gemma":[0.9186459,0.00017436054,0.080986984,0.000032169813,0.0000517268,0.0000060567713,0.0000018599726,0.000012862019,0.0000880787],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989381,0.000023836297,0.00025846818,0.0002577556,0.00025063838,0.00027122686],"domain_scores_gemma":[0.9995749,0.000094788375,0.00007762345,0.00014277008,0.000036878475,0.00007304196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004438637,0.00014243342,0.00022508658,0.00010789012,0.00014944024,0.000040457355,0.00015380498,0.00005118492,0.0000099904955],"category_scores_gemma":[0.000105404564,0.00012882057,0.00005002577,0.000505186,0.00024787153,0.00026082722,0.00004379772,0.00010442114,0.0000047679628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005461388,0.000025299278,0.0036670926,0.00009324728,0.000020636717,0.0000011595416,0.0010245643,0.7624555,0.20550603,0.00068514666,0.00035971048,0.026156126],"study_design_scores_gemma":[0.00032128222,0.00018600012,0.003103388,0.0004484384,0.00007215877,0.000015237577,0.0010072862,0.9129327,0.07877645,0.0010344755,0.0014169067,0.00068567955],"about_ca_topic_score_codex":0.000113717266,"about_ca_topic_score_gemma":0.0001025526,"teacher_disagreement_score":0.15047717,"about_ca_system_score_codex":0.000048188176,"about_ca_system_score_gemma":0.000011982049,"threshold_uncertainty_score":0.52531505},"labels":[],"label_agreement":null},{"id":"W2314194679","doi":"","title":"A 4-point Hermite subdivision scheme","year":2001,"lang":"en","type":"article","venue":"Mathematical Methods for Curves and Surfaces","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Hermite polynomials; Subdivision; Mathematics; Fourier transform; Hermite interpolation; Convergence (economics); Fourier inversion theorem; Function (biology); Scheme (mathematics); Mathematical analysis; Fourier analysis; Pure mathematics; Applied mathematics; Fractional Fourier transform","score_opus":0.027027395138377753,"score_gpt":0.36845958921128463,"score_spread":0.34143219407290687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2314194679","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025930945,0.003956506,0.96791506,0.00018666635,0.000023691613,0.0002491944,0.0000033727506,0.0004019654,0.0013326202],"genre_scores_gemma":[0.009743501,0.0019947437,0.9878266,0.000090435096,0.000015624817,0.000061051636,0.0000029590813,0.000032064356,0.000233049],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991511,0.000056328143,0.0002877801,0.00018090881,0.00008939106,0.00023448691],"domain_scores_gemma":[0.998958,0.000700717,0.00003055488,0.00017822432,0.00003295367,0.00009953271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000677531,0.00016490837,0.00039067556,0.00004091833,0.00005493307,0.000029389605,0.000098076685,0.000061329534,0.00007165061],"category_scores_gemma":[0.0003186771,0.00012441096,0.00010432333,0.00017730564,0.00005939985,0.00012813945,0.00004041768,0.00009257329,0.0000056396198],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000681024,0.00032614084,0.00084206404,0.0063873287,0.00042941552,0.000011828879,0.00044997016,0.00060090754,0.087501325,0.07477674,0.0029200201,0.82568616],"study_design_scores_gemma":[0.00020837178,0.00010313884,0.00013500596,0.00036050196,0.00006747718,0.000020384145,0.00006481888,0.62251073,0.017343236,0.3278535,0.030905891,0.000426958],"about_ca_topic_score_codex":0.0000011598116,"about_ca_topic_score_gemma":5.0687544e-7,"teacher_disagreement_score":0.8252592,"about_ca_system_score_codex":0.00001254724,"about_ca_system_score_gemma":0.0000017159196,"threshold_uncertainty_score":0.50733316},"labels":[],"label_agreement":null},{"id":"W2314702506","doi":"10.3166/ts.29.123-142","title":"Contours actifs avec a priori de forme basé sur la transformée de Fourier-Mellin analytique","year":2012,"lang":"fr","type":"article","venue":"Traitement du signal","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"A priori and a posteriori; Fourier transform; Mathematics; Philosophy; Mathematical analysis; Epistemology","score_opus":0.009785253757343694,"score_gpt":0.24544044664237177,"score_spread":0.2356551928850281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2314702506","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08705045,0.003370306,0.903811,0.0018339707,0.00014913591,0.0005237908,0.00010272025,0.0004717506,0.0026868805],"genre_scores_gemma":[0.9198436,0.0012179841,0.075635426,0.0002891016,0.00068232266,0.00013810284,0.000029198354,0.00012941078,0.002034833],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99652535,0.00023516244,0.0007669,0.0003622756,0.0004694774,0.0016408353],"domain_scores_gemma":[0.9982791,0.00042842812,0.00015376064,0.00031396848,0.000086856875,0.00073791575],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013603342,0.00058652885,0.0007055513,0.0002207568,0.00011890234,0.00006978974,0.00036864926,0.00040268546,0.002007351],"category_scores_gemma":[0.00005630575,0.0006207947,0.00053796556,0.00048192168,0.00015380648,0.0010768913,0.00003355356,0.00073588203,0.00006461014],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058284844,0.003460484,0.021406561,0.0022503284,0.0040850868,0.00034290963,0.023504296,0.05609874,0.12300038,0.032634385,0.01703409,0.7155999],"study_design_scores_gemma":[0.0023701023,0.0005346975,0.008183438,0.0005135501,0.0016306218,0.00019192012,0.00037698747,0.2548796,0.16563433,0.006038405,0.5575807,0.0020656746],"about_ca_topic_score_codex":0.0003880331,"about_ca_topic_score_gemma":0.0001712696,"teacher_disagreement_score":0.8327932,"about_ca_system_score_codex":0.0010674357,"about_ca_system_score_gemma":0.00015691905,"threshold_uncertainty_score":0.9996243},"labels":[],"label_agreement":null},{"id":"W2317622350","doi":"10.1115/imece2015-50643","title":"Isogeometric Analysis of 3D Dynamic Thermo-Mechanical Phase-Field Model for Cubic-to-Tetragonal Phase Transformations in Shape Memory Alloys","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Shape-memory alloy; Isogeometric analysis; Tetragonal crystal system; SMA*; Materials science; Microstructure; Phase (matter); Martensite; Mechanics; Energy functional; Statistical physics; Structural engineering; Computer science; Physics; Mathematical analysis; Composite material; Mathematics; Finite element method; Engineering; Algorithm","score_opus":0.029937821014385167,"score_gpt":0.3314506433774629,"score_spread":0.3015128223630777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317622350","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.111104116,0.00007466849,0.887193,0.0001122465,0.000019033643,0.00033668088,0.00009648453,0.0002611342,0.0008026247],"genre_scores_gemma":[0.89756614,0.000028393299,0.101968765,0.00012611557,0.000007697299,0.00013455629,0.00008137369,0.000028368411,0.000058601985],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984977,0.000017616314,0.00065870764,0.0002405211,0.0002712795,0.00031415126],"domain_scores_gemma":[0.99916214,0.00019771168,0.000049632352,0.000278491,0.00011603454,0.00019596434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000283843,0.00020957632,0.0005981168,0.0019064283,0.000022279195,0.0000120007635,0.0002779577,0.00012289791,0.00016138627],"category_scores_gemma":[0.00013559803,0.00019385217,0.00029649527,0.0042477874,0.000016401793,0.00024877655,0.000017684653,0.00016359052,0.0000049780992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009960297,0.0005476713,0.000007217748,0.000028352073,0.0005067307,0.0000012174256,0.00032449266,0.885106,0.02862992,0.00032130114,0.00022960952,0.08419784],"study_design_scores_gemma":[0.0012768207,0.00025285553,0.000004491734,0.0000064896917,0.00042494797,4.7736404e-7,0.000090830734,0.98334515,0.0135475425,0.00076879864,0.000058332666,0.000223256],"about_ca_topic_score_codex":0.000021864194,"about_ca_topic_score_gemma":0.0001668134,"teacher_disagreement_score":0.786462,"about_ca_system_score_codex":0.00014546968,"about_ca_system_score_gemma":0.000026386166,"threshold_uncertainty_score":0.7905062},"labels":[],"label_agreement":null},{"id":"W2318049051","doi":"10.2514/6.2003-725","title":"Efficient Optimized Airfoil Parameterization","year":2003,"lang":"en","type":"article","venue":"41st Aerospace Sciences Meeting and Exhibit","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Airfoil; Computer science; Aerospace engineering; Engineering","score_opus":0.01416601986680012,"score_gpt":0.23146010296262093,"score_spread":0.21729408309582082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318049051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8565924,0.0008437773,0.11869547,0.00012547857,0.00015470157,0.00013002231,0.000001249796,0.0007717059,0.022685185],"genre_scores_gemma":[0.8971047,0.0001064057,0.10262211,0.00003751939,0.000013886006,0.000011436517,7.8087214e-7,0.000012471893,0.00009072662],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989907,0.000042239553,0.00017396225,0.00027768666,0.00021672127,0.00029865286],"domain_scores_gemma":[0.99964076,0.000075835735,0.00004347784,0.00012516945,0.000026285055,0.00008846499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046952465,0.0001431415,0.00018490262,0.00007879858,0.00023554437,0.0000876142,0.0001014028,0.000046956317,0.000016821856],"category_scores_gemma":[0.00018176198,0.00012201767,0.00004294458,0.0006305722,0.00020093466,0.00007015014,0.000023342376,0.000088966786,0.000010296381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023821822,0.00001605378,0.0008846062,0.000021555168,0.000008500416,0.0000013116813,0.00020685917,0.9666877,0.028947057,0.0010488131,0.00012533196,0.0020498703],"study_design_scores_gemma":[0.00037238817,0.00011218897,0.00022215337,0.00012928848,0.000034632187,0.00001296836,0.00056814525,0.8769517,0.117204815,0.0007999485,0.0029804003,0.0006113854],"about_ca_topic_score_codex":0.000010861913,"about_ca_topic_score_gemma":0.0000022374606,"teacher_disagreement_score":0.08973597,"about_ca_system_score_codex":0.000027553766,"about_ca_system_score_gemma":0.000010384225,"threshold_uncertainty_score":0.4975736},"labels":[],"label_agreement":null},{"id":"W2318353342","doi":"10.2514/6.2006-6933","title":"Global- and Local-Shape Aerodynamic Optimization of Turbine Blades","year":2006,"lang":"en","type":"article","venue":"11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bombardier (Canada); Concordia University","funders":"","keywords":"Aerodynamics; Turbine blade; Turbine; Computer science; Aerospace engineering; Mechanical engineering; Engineering","score_opus":0.0061772465205667555,"score_gpt":0.23588976748765317,"score_spread":0.22971252096708641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2318353342","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.050310973,0.00064327754,0.9479568,0.000076830445,0.00001881675,0.00016218203,0.00004907818,0.00025399562,0.0005280623],"genre_scores_gemma":[0.80978864,0.0011181511,0.18868624,0.000006861795,0.000016913338,0.000017063583,0.00030023162,0.000019262521,0.00004664452],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99836385,0.000055502576,0.00063513394,0.00045783466,0.00022924431,0.0002584529],"domain_scores_gemma":[0.99906284,0.00006553843,0.00019688054,0.00030035796,0.0002592783,0.00011508196],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001297512,0.00032206756,0.0006302415,0.00034904818,0.00014429766,0.00007103354,0.00015269408,0.00014549773,0.0001588934],"category_scores_gemma":[0.000024262521,0.00030437627,0.00013304623,0.001848337,0.00025077222,0.00040986223,0.0001173455,0.00010414658,7.909559e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015469288,0.000054705903,0.010506351,0.000053512686,0.00020865463,0.0000022432173,0.000037426325,0.9849873,0.00021306226,0.00042802407,0.0000108373215,0.0034823793],"study_design_scores_gemma":[0.00025375086,0.000049105296,0.017146882,0.000031156604,0.0006402544,0.0000028386157,0.00008969948,0.9807104,0.00031573186,0.00043289256,0.000008195608,0.00031908788],"about_ca_topic_score_codex":0.00013362021,"about_ca_topic_score_gemma":0.00019586566,"teacher_disagreement_score":0.7594777,"about_ca_system_score_codex":0.00006169913,"about_ca_system_score_gemma":0.000016583737,"threshold_uncertainty_score":0.9999408},"labels":[],"label_agreement":null},{"id":"W2319273161","doi":"10.2514/6.2002-5595","title":"Optimization Using Variable Fidelity Solvers: Exploration of an Approximation Management Framework for Aerodynamic Shape Optimization","year":2002,"lang":"en","type":"article","venue":"9th AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Aerodynamics; Computer science; Variable (mathematics); Fidelity; High fidelity; Mathematical optimization; Aerospace engineering; Engineering; Mathematics","score_opus":0.021654708117916276,"score_gpt":0.27321464887377367,"score_spread":0.2515599407558574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319273161","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044063283,0.00007200284,0.9938673,0.00006261439,0.00009550573,0.0008846232,0.000048227244,0.0003707785,0.00019264557],"genre_scores_gemma":[0.17209588,0.0008378895,0.8255935,0.000016395,0.00005112307,0.0001438074,0.0011665539,0.00006515623,0.000029736946],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975246,0.00012236561,0.00094072137,0.0006972405,0.00037586264,0.00033918084],"domain_scores_gemma":[0.9984633,0.00011590197,0.0004307034,0.00055416743,0.00029665817,0.00013932207],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00037158272,0.00041891352,0.0006286926,0.0008807728,0.00037938802,0.000118371,0.00020294207,0.000269885,0.00020399694],"category_scores_gemma":[0.000043703552,0.0004408492,0.0002132861,0.0022791915,0.00006945893,0.0019340435,0.00006808761,0.00015912173,9.555879e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007046466,0.00027662853,0.00010944308,0.00019299645,0.00042220068,7.212736e-7,0.00029966352,0.99601245,0.00031182411,0.0007386697,0.000004882503,0.0015600533],"study_design_scores_gemma":[0.00045290546,0.00019379337,0.00004603585,0.000098261604,0.0013956152,6.250756e-7,0.00022369772,0.9959587,0.0004990072,0.0006804005,0.000004178562,0.00044677072],"about_ca_topic_score_codex":0.000010708597,"about_ca_topic_score_gemma":0.000003477695,"teacher_disagreement_score":0.16827382,"about_ca_system_score_codex":0.00020737147,"about_ca_system_score_gemma":0.0000066908274,"threshold_uncertainty_score":0.9998043},"labels":[],"label_agreement":null},{"id":"W2319988786","doi":"10.2514/6.2011-3070","title":"An Investigation of Multi-Modality in Aerodynamic Shape Optimization","year":2011,"lang":"en","type":"article","venue":"20th AIAA Computational Fluid Dynamics Conference","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Mitacs; Canada Research Chairs","keywords":"Aerodynamics; Modality (human–computer interaction); Computer science; Aerospace engineering; Artificial intelligence; Engineering","score_opus":0.024642532646659925,"score_gpt":0.2525790630425732,"score_spread":0.2279365303959133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319988786","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32955205,0.000013209768,0.6700303,0.000014896648,0.000036069297,0.00009838123,0.000017062874,0.00014481586,0.00009321137],"genre_scores_gemma":[0.6983238,0.000017564258,0.3013812,0.00001654741,0.0000056223007,0.000011121371,0.00022562633,0.000016140548,0.0000024026426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988417,0.000072435694,0.0004945214,0.00021810386,0.00020426408,0.00016899644],"domain_scores_gemma":[0.9992843,0.000050925308,0.00010005696,0.00017630759,0.00029868376,0.00008969703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018040795,0.0001678371,0.00023981869,0.00023360121,0.00003401919,0.000019706393,0.0002459814,0.000089986555,0.0000783576],"category_scores_gemma":[0.000031097356,0.00018709703,0.000044732602,0.00042847285,0.00010406247,0.00043757109,0.000026257412,0.00016768463,0.000003830117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008008514,0.000049606526,0.0072493446,0.000022626851,0.000013398313,0.0000017211445,0.00029465766,0.97886014,0.00090729585,0.008546947,0.0000016267335,0.004044654],"study_design_scores_gemma":[0.00018681673,0.000043709795,0.05356444,0.000024787998,0.000008913613,0.0000024628077,0.000039246395,0.92787856,0.00016876764,0.017909765,1.9082033e-7,0.0001723374],"about_ca_topic_score_codex":0.000063257205,"about_ca_topic_score_gemma":0.000140447,"teacher_disagreement_score":0.36877173,"about_ca_system_score_codex":0.00016603139,"about_ca_system_score_gemma":0.000057453795,"threshold_uncertainty_score":0.76295954},"labels":[],"label_agreement":null},{"id":"W2320437408","doi":"10.1142/9789812704436_0017","title":"IMPLICITIZATION OF POLYNOMIAL CURVES","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Polynomial; Mathematics; Computer science; Algebra over a field; Applied mathematics; Pure mathematics; Mathematical analysis","score_opus":0.003553751843168326,"score_gpt":0.19922273767385196,"score_spread":0.19566898583068362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320437408","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01201619,0.00038044015,0.93303096,0.000018481562,0.000020438567,0.000048323756,0.000001117419,0.00037874753,0.054105315],"genre_scores_gemma":[0.98008054,0.00019713095,0.019560413,0.000043810327,0.000005041539,0.0000034848213,0.0000018034242,0.0000072787407,0.00010051205],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99977714,0.00000471985,0.00009177173,0.00003610044,0.000037687965,0.0000525927],"domain_scores_gemma":[0.99988556,0.000010064017,0.000009177124,0.00006738073,0.000013305936,0.000014490539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000020786745,0.000035586563,0.000072495706,0.000025900461,0.0000047077506,0.0000010318957,0.000027276064,0.000014294301,0.00014147877],"category_scores_gemma":[0.00001925291,0.000031682368,0.000023206125,0.00013550113,0.0000083519135,0.00004075449,0.0000025364395,0.000020134068,0.00000426033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000065278246,0.00012543239,0.007576678,0.0006290062,0.00019699176,0.0000021276264,0.000119129516,0.037738435,0.7587085,0.045572203,0.09296471,0.056360267],"study_design_scores_gemma":[0.00006282558,0.000016244665,0.00045201773,0.000021093085,0.000012342456,0.0000013393642,0.000011211499,0.0036390817,0.98422974,0.0015514573,0.009886033,0.00011662983],"about_ca_topic_score_codex":0.0000034779857,"about_ca_topic_score_gemma":0.0000011984607,"teacher_disagreement_score":0.9680643,"about_ca_system_score_codex":0.000008713733,"about_ca_system_score_gemma":0.0000014932322,"threshold_uncertainty_score":0.15490934},"labels":[],"label_agreement":null},{"id":"W2320761638","doi":"10.2514/6.2013-1004","title":"Optimization of Bezier Curves for High Speed Leading Edge Geometries","year":2013,"lang":"en","type":"article","venue":"51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Bézier curve; Laminar flow; Drag; Leading edge; Enhanced Data Rates for GSM Evolution; Stagnation point; Point (geometry); Geometry; Mathematical optimization; Mathematics; Mechanics; Computer science; Physics; Heat transfer; Artificial intelligence","score_opus":0.015796202594031104,"score_gpt":0.2574439735330758,"score_spread":0.2416477709390447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320761638","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2730562,0.0030769669,0.7091312,0.011291527,0.00041567086,0.001308484,0.000023159999,0.0007262859,0.0009705084],"genre_scores_gemma":[0.91165966,0.0011285983,0.08655831,0.00011844032,0.00012427646,0.000062634215,0.000020991005,0.000043623073,0.0002834698],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981393,0.000045453216,0.00042685415,0.00040908184,0.00040167017,0.0005776203],"domain_scores_gemma":[0.99865735,0.00053794874,0.00026399927,0.00025513652,0.00015439527,0.00013118003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006048475,0.00030783538,0.00043452764,0.00022601888,0.00089134916,0.00019957323,0.0003924697,0.000108077555,0.000021893897],"category_scores_gemma":[0.00042824826,0.00023899229,0.000117753654,0.0014167475,0.0004688764,0.0009619175,0.00017113086,0.00017406425,0.000006325287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030220777,0.000065547305,0.0039544753,0.00040696491,0.00013298233,4.3253715e-7,0.0008503131,0.36570945,0.5810279,0.004599231,0.036489848,0.006732603],"study_design_scores_gemma":[0.0011814031,0.0016029926,0.0005230046,0.002540804,0.00030857293,0.000016808883,0.00562565,0.27329937,0.70153403,0.010345152,0.001431162,0.0015910786],"about_ca_topic_score_codex":0.0002481851,"about_ca_topic_score_gemma":0.000037410424,"teacher_disagreement_score":0.63860345,"about_ca_system_score_codex":0.00009187851,"about_ca_system_score_gemma":0.00002577799,"threshold_uncertainty_score":0.97458225},"labels":[],"label_agreement":null},{"id":"W2321841627","doi":"10.1142/9789814623995_0079","title":"INFINITE CLASSES OF DEGENERATE HORIZON GEOMETRIES IN HIGHER DIMENSIONS","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Degenerate energy levels; Horizon; Computer science; Mathematics; Physics; Geometry; Quantum mechanics","score_opus":0.042434989397714847,"score_gpt":0.26507586648483855,"score_spread":0.2226408770871237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321841627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9403094,0.0007504058,0.03486819,0.0001333691,0.00012761737,0.00009244589,0.000004241415,0.00066739833,0.023046924],"genre_scores_gemma":[0.9816006,0.00010042368,0.017850703,0.000019742845,0.000016493554,0.000008569294,0.0000035738499,0.000014001489,0.00038588533],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994763,0.000009145852,0.00020085227,0.00008214818,0.00010640634,0.00012515331],"domain_scores_gemma":[0.9996832,0.000048093636,0.000019342544,0.00013985061,0.000051398718,0.000058101294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006321715,0.00008477402,0.00018700991,0.00023802431,0.0000060805787,0.0000050750305,0.00006844742,0.00004491941,0.00005809714],"category_scores_gemma":[0.00004635752,0.0000703311,0.00002910135,0.00087770843,0.000027917986,0.0001150298,0.0000315093,0.00007405762,0.000011683515],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000067585854,0.00037068294,0.055225153,0.00014926745,0.00030275428,0.00004078097,0.00036218492,0.35058656,0.49091253,0.029768663,0.03673773,0.035476092],"study_design_scores_gemma":[0.0006295817,0.0003569008,0.0062254393,0.000048327354,0.000043256794,0.0000016902537,0.00014951298,0.015279222,0.8677329,0.012155962,0.09672428,0.00065293646],"about_ca_topic_score_codex":0.00003506849,"about_ca_topic_score_gemma":0.00003883678,"teacher_disagreement_score":0.37682036,"about_ca_system_score_codex":0.00003822338,"about_ca_system_score_gemma":0.000006653695,"threshold_uncertainty_score":0.28680193},"labels":[],"label_agreement":null},{"id":"W2323757755","doi":"10.3166/ts.29.553-574","title":"Proposition d’une famille de courbes remplissant l’espace de niveau de localité comparable à la courbe de Hilbert","year":2012,"lang":"fr","type":"article","venue":"Traitement du signal","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Humanities; Physics; Mathematics; Philosophy","score_opus":0.011451041231540187,"score_gpt":0.2562863503100665,"score_spread":0.24483530907852633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2323757755","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14373478,0.004226496,0.8448475,0.002423795,0.00007846273,0.00040415465,0.000039059316,0.00046992511,0.0037758],"genre_scores_gemma":[0.9001166,0.000632572,0.097037666,0.00040620595,0.00043720924,0.00011932058,0.00003919423,0.00009773553,0.0011134944],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967826,0.00036998207,0.0005336558,0.00033985174,0.00039985214,0.0015740542],"domain_scores_gemma":[0.99859303,0.00026800117,0.00015018406,0.00028572258,0.00009046992,0.0006125705],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011364211,0.0004738207,0.0005500791,0.00013346726,0.00021997433,0.00008375873,0.00030583903,0.00029461237,0.0005725565],"category_scores_gemma":[0.000035428362,0.00051561685,0.00023487363,0.00044677488,0.00023355373,0.00045562704,0.00006677677,0.00055876566,0.00006706216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045835113,0.0032673185,0.039813306,0.0015344562,0.0012987427,0.00027232995,0.012534077,0.3783144,0.43745658,0.046428308,0.050519157,0.02810297],"study_design_scores_gemma":[0.0017933146,0.0005461003,0.024203483,0.0011065893,0.0011968788,0.00051821506,0.0021248725,0.5536228,0.22922193,0.008472406,0.1753559,0.001837521],"about_ca_topic_score_codex":0.0021647685,"about_ca_topic_score_gemma":0.00007061738,"teacher_disagreement_score":0.7563818,"about_ca_system_score_codex":0.0019928378,"about_ca_system_score_gemma":0.00014464582,"threshold_uncertainty_score":0.9997295},"labels":[],"label_agreement":null},{"id":"W2325084148","doi":"10.2514/6.2007-59","title":"Effect of Shape Parameterization on Aerodynamic Shape Optimization","year":2007,"lang":"en","type":"article","venue":"45th AIAA Aerospace Sciences Meeting and Exhibit","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":122,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Aerodynamics; Computer science; Shape optimization; Aerospace engineering; Structural engineering; Engineering; Finite element method","score_opus":0.005936376715834017,"score_gpt":0.2556574305831277,"score_spread":0.24972105386729365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325084148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9374193,0.00015898317,0.05944743,0.000033390825,0.00007473545,0.00014466923,0.0000014742799,0.0003228888,0.0023971356],"genre_scores_gemma":[0.97612286,0.00011597014,0.023662634,0.000027086027,0.000027359096,0.000005859835,0.000005035699,0.000017272756,0.000015901769],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99880016,0.00004683238,0.00026248157,0.0002938856,0.00029177126,0.00030488396],"domain_scores_gemma":[0.99935806,0.000294681,0.000100488964,0.00013289262,0.000033527893,0.00008034005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011726175,0.00017737018,0.0002644263,0.00016556143,0.00014710327,0.00004189698,0.00014121628,0.0000738996,0.000019796147],"category_scores_gemma":[0.00022371758,0.00014568248,0.000051932922,0.0008004444,0.0001974309,0.00018271661,0.00003288797,0.000108356806,0.0000032933508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034781857,0.000016603179,0.004502871,0.00010883264,0.000012624672,0.0000016001073,0.00012482883,0.8832489,0.061336476,0.00012076124,0.000024978224,0.050466727],"study_design_scores_gemma":[0.00013667758,0.0005482131,0.0005527897,0.00013109646,0.000020015756,0.0000019073009,0.000038123708,0.9072073,0.09113011,0.000030019613,0.000025120136,0.000178646],"about_ca_topic_score_codex":0.000012748821,"about_ca_topic_score_gemma":0.0000064342685,"teacher_disagreement_score":0.05028808,"about_ca_system_score_codex":0.00003648377,"about_ca_system_score_gemma":0.0000055770565,"threshold_uncertainty_score":0.5940759},"labels":[],"label_agreement":null},{"id":"W2328751027","doi":"10.2514/6.2011-3536","title":"An Evolutionary Geometry Parametrization for Aerodynamic Shape Optimization","year":2011,"lang":"en","type":"article","venue":"20th AIAA Computational Fluid Dynamics Conference","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Parametrization (atmospheric modeling); Aerodynamics; Shape optimization; Geometry; Computer science; Mathematical optimization; Mathematics; Physics; Engineering; Structural engineering; Mechanics; Finite element method; Optics","score_opus":0.01721295838113556,"score_gpt":0.24296866551743934,"score_spread":0.22575570713630377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328751027","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032482862,0.00006306867,0.9658559,0.000021910739,0.00016858011,0.00030193685,0.00009953838,0.00063892966,0.00036730772],"genre_scores_gemma":[0.56998575,0.000033985267,0.42868638,0.00003483058,0.000029548864,0.00004415942,0.0011412745,0.00003151921,0.0000125498955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986379,0.000039956896,0.00044318693,0.00032335226,0.00027227233,0.00028332425],"domain_scores_gemma":[0.9987965,0.00013584014,0.00009772369,0.00021542504,0.00061550556,0.0001389675],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014165783,0.00024024874,0.00024885958,0.00038615937,0.00015705421,0.000062365514,0.00032104578,0.0001302729,0.00019640774],"category_scores_gemma":[0.00009406271,0.0002686136,0.00009219267,0.0006751267,0.00007632851,0.0006211253,0.000028312901,0.00015651419,0.000013134333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019500165,0.00007145537,0.00037363253,0.000021911672,0.000040710456,0.0000011891506,0.000048781752,0.9544481,0.00015135609,0.031077085,0.000057810837,0.01368845],"study_design_scores_gemma":[0.00020581366,0.00012630025,0.0034573146,0.000014962193,0.00003070826,0.0000097554885,0.000029396379,0.96156687,0.000039617542,0.034200072,0.000016635275,0.00030258353],"about_ca_topic_score_codex":0.0000070677497,"about_ca_topic_score_gemma":0.000005930595,"teacher_disagreement_score":0.5375029,"about_ca_system_score_codex":0.00027550838,"about_ca_system_score_gemma":0.00006687039,"threshold_uncertainty_score":0.99997663},"labels":[],"label_agreement":null},{"id":"W2329128548","doi":"10.2514/6.2012-5447","title":"Two-Level Free-Form Deformation for High-Fidelity Aerodynamic Shape Optimization","year":2012,"lang":"en","type":"article","venue":"12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Free-form deformation; Aerodynamics; Deformation (meteorology); Morphing; Free form; Computer science; Shape optimization; Structural engineering; Materials science; Mechanics; Physics; Engineering; Computer graphics (images); Composite material; Finite element method","score_opus":0.01641920261148782,"score_gpt":0.2696865129696796,"score_spread":0.2532673103581918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329128548","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.070048906,0.00029722377,0.9266799,0.00095859455,0.000090140355,0.0010317875,0.00023915067,0.0005316072,0.00012268551],"genre_scores_gemma":[0.69600797,0.0014287602,0.2997469,0.000045743564,0.00005456052,0.0005180513,0.0020850534,0.000028302959,0.00008467466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973909,0.0000900683,0.0011158356,0.0006469819,0.00028083395,0.00047535836],"domain_scores_gemma":[0.99743885,0.00012581385,0.00030144225,0.000529143,0.0013780036,0.00022676679],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00053393136,0.000544902,0.00070090377,0.001248102,0.0010770235,0.0004238826,0.00028173585,0.0004256959,0.00026726877],"category_scores_gemma":[0.00033862295,0.0005070058,0.000112633265,0.0017943942,0.00031774104,0.0029122597,0.00014465571,0.00033626202,0.0000033092601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047683923,0.00021235515,0.01113152,0.000114206356,0.0005093102,3.557143e-7,0.0018733862,0.86583257,0.0024115841,0.07555598,0.000058335765,0.04225274],"study_design_scores_gemma":[0.0007856341,0.00012097482,0.00752007,0.000058536432,0.00061102747,0.000005338723,0.0014040965,0.9831057,0.0020307673,0.0037425377,0.000023529592,0.00059179676],"about_ca_topic_score_codex":0.00015807517,"about_ca_topic_score_gemma":0.0011604658,"teacher_disagreement_score":0.626933,"about_ca_system_score_codex":0.00012971388,"about_ca_system_score_gemma":0.000079887024,"threshold_uncertainty_score":0.99973816},"labels":[],"label_agreement":null},{"id":"W2330536347","doi":"10.1115/detc2007-34970","title":"Reverse Engineering of Geometric Surfaces Using Tabu Search Optimization Technique","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Tabu search; Sequential quadratic programming; MATLAB; Algorithm; Mathematical optimization; Computer science; Data point; Quadratic programming; Mathematics","score_opus":0.012539758112455791,"score_gpt":0.25673281946881127,"score_spread":0.2441930613563555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330536347","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.043318994,0.00011531047,0.9550415,0.0000027081865,0.00002194259,0.00014920608,0.0000014005386,0.0006309128,0.0007180011],"genre_scores_gemma":[0.50460017,0.000050960858,0.49529383,0.000002831242,0.000010183497,0.0000023167702,0.0000020601906,0.000020965877,0.000016702197],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991415,0.000006407413,0.00029948205,0.00012411439,0.0001879472,0.00024054274],"domain_scores_gemma":[0.9995737,0.00007789919,0.000029283838,0.00017671412,0.00008242474,0.000059953676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036155494,0.00012287199,0.00020337933,0.0006567263,0.000018989944,0.0000070534065,0.000117635616,0.00008455451,0.00008595623],"category_scores_gemma":[0.00005537571,0.00012237084,0.00005672784,0.0021040821,0.000020228217,0.00017537193,0.00003482471,0.0001345464,0.0000018173637],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015805964,0.000008530023,0.0002587507,0.00003955273,0.0000148709205,0.0000018881395,0.0000075106977,0.8631242,0.13529678,0.000041226092,0.0000138146115,0.0011913044],"study_design_scores_gemma":[0.000029606346,0.0000104143855,0.000087681336,0.000015649075,0.00000840581,0.0000026286634,0.000013834912,0.531133,0.46848685,0.000007942179,0.00010238895,0.00010160451],"about_ca_topic_score_codex":0.000045214634,"about_ca_topic_score_gemma":0.0000011727059,"teacher_disagreement_score":0.46128118,"about_ca_system_score_codex":0.000109592154,"about_ca_system_score_gemma":0.000005194405,"threshold_uncertainty_score":0.49901378},"labels":[],"label_agreement":null},{"id":"W2331784305","doi":"10.2514/6.2007-1916","title":"Airfoil Generation and Optimization using Multiresolution B-Spline Control with Geometrical Constraints","year":2007,"lang":"en","type":"article","venue":"48th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Airfoil; Spline (mechanical); Computer science; B-spline; Mathematics; Engineering; Aerospace engineering; Structural engineering; Mathematical analysis","score_opus":0.010935920476144454,"score_gpt":0.2342374859564158,"score_spread":0.22330156548027136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331784305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.504301,0.00017387199,0.49424356,0.000026729334,0.00030358107,0.00038203874,0.00023789862,0.00029128697,0.000040000585],"genre_scores_gemma":[0.89896125,0.0002534836,0.09986145,0.00007902743,0.00027826714,0.000013843731,0.00046518366,0.00007330862,0.000014179333],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99708265,0.0000937605,0.0008917221,0.0007587356,0.00042244766,0.00075067906],"domain_scores_gemma":[0.9985847,0.0000999326,0.00031822515,0.0003646151,0.0003145404,0.00031798996],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029095935,0.00068844866,0.0008908068,0.00042712883,0.0003323966,0.00031462818,0.00022934547,0.00038916426,0.0001735011],"category_scores_gemma":[0.00012078487,0.0005862237,0.00006718535,0.00034476994,0.00060230185,0.0006135646,0.000091176866,0.00032794624,9.859033e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011091175,0.000049482136,0.003199248,0.0008009138,0.0008241251,0.00011704861,0.000516296,0.30867264,0.40269008,0.058124084,0.000049474525,0.22384746],"study_design_scores_gemma":[0.0017522093,0.00017694115,0.016922254,0.00007507692,0.00023068834,0.0002516471,0.00008386131,0.95753556,0.01949497,0.0024429199,0.000024679139,0.001009205],"about_ca_topic_score_codex":0.00025944776,"about_ca_topic_score_gemma":0.00033060825,"teacher_disagreement_score":0.6488629,"about_ca_system_score_codex":0.0002753452,"about_ca_system_score_gemma":0.000047270387,"threshold_uncertainty_score":0.99965894},"labels":[],"label_agreement":null},{"id":"W2332237928","doi":"10.7151/dmgaa.1134","title":"k-Normalization and (k + 1)-level inflation of varieties","year":2008,"lang":"en","type":"article","venue":"Discussiones Mathematicae - General Algebra and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Mathematics; Normalization (sociology); Sociology","score_opus":0.014466138853543909,"score_gpt":0.22676234134049486,"score_spread":0.21229620248695094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2332237928","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17731054,0.00025417656,0.82112634,0.00009527189,0.000005536274,0.00021974918,0.000013121675,0.00017980608,0.00079545344],"genre_scores_gemma":[0.95826125,0.0005993121,0.04067226,0.000018205888,0.000031243693,0.00017314132,0.000026634216,0.00001665511,0.0002013121],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994208,0.000008975888,0.0002607082,0.00011885829,0.00010161825,0.00008902241],"domain_scores_gemma":[0.9996816,0.000024280653,0.00005500159,0.00014938579,0.0000363817,0.000053387954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000037911326,0.00010840624,0.00017547133,0.0000676097,0.00012157712,0.000008738996,0.000054679844,0.00004623308,0.000022290407],"category_scores_gemma":[0.000009662994,0.00007663225,0.000028470668,0.00021363301,0.00011090654,0.0001403716,0.00003387815,0.00004469479,0.0000032428848],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007737461,0.00018831906,0.002960681,0.00067172426,0.00011248454,8.4707e-7,0.0022338298,0.002931297,0.07896844,0.8528583,0.0005818444,0.058484472],"study_design_scores_gemma":[0.0005220786,0.00006992497,0.047805984,0.00010613903,0.00019191018,0.00007968674,0.0004132984,0.16972297,0.058918167,0.71588635,0.0053639216,0.00091956614],"about_ca_topic_score_codex":0.000001933689,"about_ca_topic_score_gemma":9.2437915e-7,"teacher_disagreement_score":0.7809507,"about_ca_system_score_codex":0.0000066155712,"about_ca_system_score_gemma":0.0000038110893,"threshold_uncertainty_score":0.31249726},"labels":[],"label_agreement":null},{"id":"W2332671255","doi":"10.4310/cms.2011.v9.n3.a1","title":"Numerical methods for anisotropic mean curvature flow based on a discrete time variational formulation","year":2011,"lang":"en","type":"article","venue":"Communications in Mathematical Sciences","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Office of Naval Research; National Science Foundation","keywords":"Mean curvature flow; Curvature; Mathematics; Flow (mathematics); Willmore energy; Mathematical analysis; Anisotropy; Mean curvature; Discrete time and continuous time; Applied mathematics; Geometry; Physics","score_opus":0.06634276046081111,"score_gpt":0.38277126448917764,"score_spread":0.31642850402836653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2332671255","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000086831606,0.000052828556,0.9866535,0.00035465727,0.000013793473,0.00027280793,0.0000047887143,0.00020733305,0.012353469],"genre_scores_gemma":[0.24040683,0.0000066407742,0.75931454,0.000063835556,0.00000721377,0.00016603523,0.000012800366,0.000009799605,0.000012295509],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901474,0.00012296425,0.000326845,0.0001727191,0.00016467557,0.00019807347],"domain_scores_gemma":[0.9981007,0.0011419781,0.000053045536,0.0006090083,0.00004219091,0.000053101845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070386304,0.00012372967,0.00021021697,0.00014072137,0.00017686725,0.000028610415,0.00080601143,0.00006879876,0.00015425771],"category_scores_gemma":[0.00040869648,0.000097735705,0.00007957635,0.0007025924,0.00017308386,0.00019807195,0.00006137985,0.0001577935,0.00002597168],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026085034,0.00066608225,0.0003669432,0.0001024377,0.000047093734,3.3523165e-7,0.0013991211,0.08537452,0.0012764037,0.84690964,0.0002292234,0.06360211],"study_design_scores_gemma":[0.00006374935,0.000045219233,0.00022934937,0.000023913717,0.000009901094,3.0482738e-7,0.000009338766,0.7302276,0.0003340094,0.26863223,0.00033137418,0.00009305702],"about_ca_topic_score_codex":0.0000024743563,"about_ca_topic_score_gemma":0.0000020243926,"teacher_disagreement_score":0.64485306,"about_ca_system_score_codex":0.000075192685,"about_ca_system_score_gemma":0.000016564516,"threshold_uncertainty_score":0.39855465},"labels":[],"label_agreement":null},{"id":"W2332683918","doi":"10.2514/6.2005-5241","title":"A Parameterization Transporting Surface Offset Construction Method Based on the Eikonal Equation","year":2005,"lang":"en","type":"article","venue":"17th AIAA Computational Fluid Dynamics Conference","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Eikonal equation; Offset (computer science); Computer science; Surface (topology); Applied mathematics; Mathematical analysis; Mathematics; Geometry","score_opus":0.017372473569064538,"score_gpt":0.2531150401136458,"score_spread":0.23574256654458123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2332683918","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08499303,0.000010027709,0.912768,0.0010715814,0.000062021325,0.00021228388,0.000058652524,0.0003956656,0.00042875583],"genre_scores_gemma":[0.6497728,0.0000054305538,0.34951657,0.00021255747,0.000027461843,0.000019307898,0.00041863084,0.000018445318,0.000008778681],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998499,0.00010845816,0.00047003123,0.00027617996,0.0004325821,0.00021377292],"domain_scores_gemma":[0.99880016,0.00061013974,0.00011797055,0.00018255156,0.00022552165,0.00006368705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031243498,0.00022134946,0.00021317259,0.00010370486,0.00014754714,0.00006807709,0.00018253444,0.00008466391,0.00011307278],"category_scores_gemma":[0.00008373483,0.00019530623,0.000090450834,0.00042516075,0.00007558564,0.00021056409,0.00001158925,0.00023040376,0.000023083405],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014210408,0.000021945745,0.00028111777,0.000010487244,0.000019764684,5.084558e-7,0.000038102975,0.9207425,0.0009031395,0.05098689,0.000012844437,0.026968485],"study_design_scores_gemma":[0.00019367691,0.000033503482,0.0010251589,0.000032973057,0.000023258313,0.000003274956,0.000023693503,0.9848085,0.0010657354,0.012477733,0.00009934914,0.00021311275],"about_ca_topic_score_codex":0.0000067948,"about_ca_topic_score_gemma":0.000017296888,"teacher_disagreement_score":0.5647798,"about_ca_system_score_codex":0.00022537017,"about_ca_system_score_gemma":0.000059092512,"threshold_uncertainty_score":0.7964357},"labels":[],"label_agreement":null},{"id":"W2333815185","doi":"10.2514/6.2005-5332","title":"Adaptive Hybrid Meshing Using Metric Tensor Line Networks","year":2005,"lang":"en","type":"article","venue":"17th AIAA Computational Fluid Dynamics Conference","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Institut national de recherche en informatique et en automatique (INRIA)","keywords":"Computer science; Metric (unit); Tensor (intrinsic definition); Line (geometry); Mathematics; Geometry; Engineering","score_opus":0.017637746852439344,"score_gpt":0.2509896158483655,"score_spread":0.23335186899592614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333815185","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.026873812,0.0003298012,0.9710782,0.00010441242,0.00009342918,0.00016188541,0.00003800323,0.0006570057,0.0006634603],"genre_scores_gemma":[0.72687054,0.000047714166,0.27263308,0.000115702045,0.000125418,0.000010997759,0.00012167301,0.000039062772,0.000035806665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983497,0.00004315603,0.00048791151,0.00035420063,0.0003715145,0.00039347349],"domain_scores_gemma":[0.99893373,0.00027260164,0.000089623856,0.00020365724,0.00035055372,0.0001498431],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014693859,0.00030842624,0.00037778905,0.0003191899,0.00012737134,0.00008150531,0.0002996734,0.0000819033,0.0000635109],"category_scores_gemma":[0.00006668651,0.0003282337,0.00011882828,0.00075537135,0.000074897864,0.00037999643,0.00008787499,0.00035748095,0.000025294215],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008077778,0.000025205443,0.00009670315,0.0000066092803,0.00006677751,0.000006491283,0.000017749118,0.9520874,0.00010078338,0.009318581,0.00005373643,0.038211897],"study_design_scores_gemma":[0.00017308284,0.000034679175,0.00029689312,0.000033678258,0.000043383137,0.000020452184,0.000016642127,0.99296075,0.00013190914,0.0058147986,0.0001071695,0.00036658824],"about_ca_topic_score_codex":0.000020557087,"about_ca_topic_score_gemma":0.00002125868,"teacher_disagreement_score":0.69999677,"about_ca_system_score_codex":0.00046864586,"about_ca_system_score_gemma":0.00005078162,"threshold_uncertainty_score":0.999917},"labels":[],"label_agreement":null},{"id":"W2334095104","doi":"10.2514/6.2013-2850","title":"Geometry Generation of Complex Unconventional Aircraft with Application to High-Fidelity Aerodynamic Shape Optimization","year":2013,"lang":"en","type":"article","venue":"21st AIAA Computational Fluid Dynamics Conference","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Aerodynamics; Aerospace; Computer science; Python (programming language); Drag; Fidelity; Leverage (statistics); Complex geometry; High fidelity; Aerospace engineering; Mechanical engineering; Geometry; Computational science; Simulation; Engineering; Mathematics; Artificial intelligence","score_opus":0.012158006732218937,"score_gpt":0.23060723837208189,"score_spread":0.21844923163986296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334095104","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25348145,0.000007979209,0.74546945,0.00019270173,0.000035427594,0.00041107627,0.00006712306,0.00023811849,0.00009666201],"genre_scores_gemma":[0.6857239,0.000008187716,0.31195992,0.00007212085,0.000029631894,0.00012986353,0.0020326506,0.00002597496,0.000017714005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983259,0.00003909414,0.0005739388,0.00037521374,0.0004657301,0.00022013942],"domain_scores_gemma":[0.99843603,0.0000877372,0.00012947577,0.0002540851,0.0009694995,0.00012315543],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010444509,0.00025154327,0.00032354624,0.00026886008,0.00008611481,0.00006028839,0.0002502391,0.000088523935,0.0003787479],"category_scores_gemma":[0.00002681429,0.0002585613,0.00006221895,0.0007515046,0.000087366956,0.00034973683,0.000057072757,0.00013229504,0.000052019084],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000064541364,0.00005076738,0.0004494384,0.000031080377,0.000049337512,2.0639264e-7,0.000016968963,0.9543832,0.008219935,0.024098774,0.00008504823,0.012608813],"study_design_scores_gemma":[0.00019952354,0.00007122875,0.016399488,0.00002158405,0.000022632796,0.0000030798892,0.000020946618,0.9796612,0.00022636337,0.0030812337,0.000015946764,0.0002767294],"about_ca_topic_score_codex":0.00012233506,"about_ca_topic_score_gemma":0.00010264395,"teacher_disagreement_score":0.43350953,"about_ca_system_score_codex":0.00027419796,"about_ca_system_score_gemma":0.00005521712,"threshold_uncertainty_score":0.99998665},"labels":[],"label_agreement":null},{"id":"W2334933696","doi":"10.1139/tcsme-2013-0040","title":"A MODIFIED Z-MAP COMPUTATIONAL INTERPOLATION ALGORITHM FOR SURFACE MACHINING SIMULATION","year":2013,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Machining; Algorithm; Interpolation (computer graphics); Computation; Computer science; Surface (topology); Boundary (topology); Tool path; Mathematics; Geometry; Engineering; Mechanical engineering; Computer vision; Mathematical analysis","score_opus":0.010420757150705515,"score_gpt":0.23010766351454032,"score_spread":0.2196869063638348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334933696","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010344883,0.00002913933,0.9977378,0.00013688582,0.00015127654,0.0005976417,0.00012523835,0.00017859477,0.00000888996],"genre_scores_gemma":[0.5776874,8.820737e-7,0.42213163,0.000025916988,0.000016653119,0.00008017405,0.000017567838,0.000025627618,0.000014153735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929255,0.000004399814,0.0002516161,0.00012224818,0.000103075196,0.00022610009],"domain_scores_gemma":[0.99941534,0.00020969212,0.0000336319,0.00012723396,0.00010140882,0.00011269883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090783855,0.00012853362,0.00016729462,0.000041439456,0.0001438769,0.000021746355,0.00014795113,0.0001114915,0.000020409992],"category_scores_gemma":[0.000012403322,0.00012454945,0.00039640293,0.00021097358,0.000016494352,0.00016403092,0.0000031846962,0.0001502525,8.2497206e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.102773e-7,0.00000426143,2.745903e-7,0.00004538539,0.000090010864,6.2557137e-9,0.000047247802,0.98567307,0.0019761068,0.00053061254,0.000053927437,0.01157837],"study_design_scores_gemma":[0.00017071511,0.000017992441,0.000005037634,0.000025131534,0.000048629743,3.638697e-7,0.000024309153,0.9946704,0.0015154909,0.0028744456,0.0005167004,0.00013079659],"about_ca_topic_score_codex":0.0012434794,"about_ca_topic_score_gemma":0.0004595505,"teacher_disagreement_score":0.57665294,"about_ca_system_score_codex":0.00026087477,"about_ca_system_score_gemma":0.000033634005,"threshold_uncertainty_score":0.5078979},"labels":[],"label_agreement":null},{"id":"W2340486262","doi":"10.2118/180110-ms","title":"An Application of the Isogeometric Analysis Method to Reservoir Simulation","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"CMG Reservoir Simulation Foundation; University of Texas at Austin","keywords":"Isogeometric analysis; Discretization; Finite element method; Computer science; Convergence (economics); Applied mathematics; Degrees of freedom (physics and chemistry); Field (mathematics); Mathematical optimization; Source code; Algorithm; Computational science; Mathematics; Mathematical analysis; Structural engineering; Engineering; Physics","score_opus":0.01040691742741237,"score_gpt":0.32833317603627626,"score_spread":0.3179262586088639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340486262","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029193532,0.000007527652,0.9699776,0.00010641631,0.0000041882927,0.00010733676,0.0000030971514,0.00021323036,0.00038707623],"genre_scores_gemma":[0.85480833,0.000002032797,0.14506157,0.00002422253,0.000009492769,0.000019203237,0.0000011959335,0.000007987454,0.00006596083],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994221,0.00003611712,0.00018417675,0.00012851247,0.0001446953,0.00008444992],"domain_scores_gemma":[0.9992217,0.00015752706,0.00003413845,0.00047512338,0.00007015103,0.000041359148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017276593,0.00006263097,0.00014560237,0.00039099873,0.000017839586,0.000003886085,0.00020877052,0.00003247227,0.000045766683],"category_scores_gemma":[0.0000629913,0.000032379125,0.00009529127,0.0046971915,0.000008787515,0.0001068059,0.00002506008,0.000025148664,0.000008466607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000016357342,0.000008710564,0.0036452555,0.0000020732457,0.00006172276,9.423455e-9,0.000008369947,0.8206405,0.07798838,0.00023375014,0.000013714266,0.09739585],"study_design_scores_gemma":[0.00003245256,0.000016655315,0.01766828,0.0000018604428,0.00012191159,2.8868214e-8,0.0000051954075,0.8318571,0.14688706,0.0017079008,0.0016217338,0.00007985042],"about_ca_topic_score_codex":0.0000351915,"about_ca_topic_score_gemma":0.000025377387,"teacher_disagreement_score":0.8256148,"about_ca_system_score_codex":0.000047412654,"about_ca_system_score_gemma":0.0000014320493,"threshold_uncertainty_score":0.22568448},"labels":[],"label_agreement":null},{"id":"W2345022821","doi":"10.1109/tap.2016.2560958","title":"On New Triangle Quadrature Rules for the Locally Corrected Nyström Method Formulated on NURBS-Generated Bézier Surfaces in 3-D","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Georgia Institute of Technology","keywords":"Quadrilateral; Gaussian quadrature; Quadrature (astronomy); Numerical integration; Mathematics; Gauss–Kronrod quadrature formula; Clenshaw–Curtis quadrature; Tanh-sinh quadrature; Gauss–Laguerre quadrature; Adaptive quadrature; Bézier curve; Mathematical analysis; Applied mathematics; Algorithm; Geometry; Computer science; Nyström method; Integral equation; Finite element method","score_opus":0.014365253895592508,"score_gpt":0.26139051743074604,"score_spread":0.24702526353515353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345022821","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024216471,0.00008324968,0.9739466,0.00065397564,0.0001685736,0.00056770095,0.00004105357,0.00027676093,0.000045622695],"genre_scores_gemma":[0.99233323,0.0002599303,0.006505116,0.00012368709,0.000027767956,0.00009511987,0.000011551561,0.00003509434,0.0006085082],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991286,0.00006473204,0.00026122565,0.00023008477,0.00012705053,0.00018831812],"domain_scores_gemma":[0.99919426,0.0004635077,0.00004996308,0.0001649847,0.000070169335,0.000057129564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017473279,0.00019389762,0.00022360944,0.0001613966,0.00011758428,0.000033823973,0.0000783887,0.00013378319,0.000039280403],"category_scores_gemma":[0.000027940889,0.000108620035,0.00008044459,0.00038006555,0.000027325208,0.00013969332,4.6922068e-7,0.00019226733,0.000008221458],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090036175,0.00011721924,0.0000034886182,0.000026533971,0.00011119265,0.0000015962717,0.00015249698,0.13893645,0.21895334,0.000319045,0.0004844528,0.63999385],"study_design_scores_gemma":[0.0014657138,0.0005420229,0.00019907262,0.00023823841,0.000065019536,0.0000026841817,0.000038611335,0.5071688,0.48696962,0.002008247,0.0010059607,0.00029596104],"about_ca_topic_score_codex":0.000040580493,"about_ca_topic_score_gemma":0.00016316387,"teacher_disagreement_score":0.96811676,"about_ca_system_score_codex":0.00007757784,"about_ca_system_score_gemma":0.00001699221,"threshold_uncertainty_score":0.44293967},"labels":[],"label_agreement":null},{"id":"W2349041560","doi":"","title":"A Real-time Scheduling Based on Branch-Bound Algorithm and Artificial Neural Network","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial neural network; Scheduling (production processes); Algorithm; Sequence (biology); Matrix (chemical analysis); Upper and lower bounds; Artificial intelligence; Mathematical optimization; Mathematics","score_opus":0.008280018075910538,"score_gpt":0.22658989530602883,"score_spread":0.2183098772301183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2349041560","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016262338,0.00006363558,0.98210967,0.000112640955,0.000007882721,0.00029442503,0.0000074016393,0.00082445797,0.0003175277],"genre_scores_gemma":[0.06409741,0.00005584851,0.9348762,0.00020258657,0.0004116162,0.00024276649,0.000042988315,0.000042333868,0.0000282582],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992006,0.000013442533,0.0002121244,0.00025828183,0.00008485368,0.00023071576],"domain_scores_gemma":[0.99957097,0.000068037276,0.000030327052,0.00022225332,0.000028424996,0.00008001691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000040106268,0.0001596544,0.00018750508,0.000072812145,0.00020527239,0.000030091527,0.00012643712,0.000059033016,0.000012746778],"category_scores_gemma":[3.1006223e-7,0.00016869462,0.00005946983,0.00036149053,0.000067981695,0.00006129189,0.000030462159,0.00014125335,0.000057725574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044139847,0.00007516649,0.00005809609,0.00001554891,0.000031074265,0.0000042887873,0.000045654342,0.5378799,0.03706038,0.00026064194,0.0016122338,0.4229526],"study_design_scores_gemma":[0.00008776614,0.00001926501,0.00039505376,0.000009183465,0.000013272524,0.000011746358,7.6604033e-7,0.9727537,0.004116983,0.0012330079,0.021149976,0.00020930427],"about_ca_topic_score_codex":0.0000066974544,"about_ca_topic_score_gemma":6.8960765e-7,"teacher_disagreement_score":0.43487376,"about_ca_system_score_codex":0.00003850355,"about_ca_system_score_gemma":0.000007187199,"threshold_uncertainty_score":0.6879167},"labels":[],"label_agreement":null},{"id":"W235167656","doi":"10.1016/j.cad.2015.04.011","title":"Preferred feed direction field: A new tool path generation method for efficient sculptured surface machining","year":2015,"lang":"en","type":"article","venue":"Computer-Aided Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of British Columbia","funders":"Foreign Affairs and International Trade Canada; Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología","keywords":"Machining; Tool path; Point (geometry); Surface (topology); Cutter location; Mechanical engineering; Path (computing); Ball (mathematics); Computer science; Geometry; Engineering drawing; Engineering; Mathematics","score_opus":0.05924780455151099,"score_gpt":0.3006077181642247,"score_spread":0.24135991361271372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W235167656","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0038878275,0.00028104932,0.9934862,0.0000713239,0.0004518471,0.00059831736,0.0000021502449,0.0011574513,0.00006381501],"genre_scores_gemma":[0.11709445,0.000005834926,0.8822302,0.00011076511,0.00034261044,0.000044968507,0.000025350122,0.00004237078,0.000103451246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99872416,0.00014428375,0.00033529196,0.00033643504,0.0001952294,0.00026457134],"domain_scores_gemma":[0.9991264,0.00026932143,0.00007216393,0.00028414268,0.00010408016,0.00014392563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047175266,0.00022965117,0.0003252607,0.000090564456,0.00007283831,0.00007910137,0.00016116632,0.000120862765,0.000005025465],"category_scores_gemma":[0.00011856825,0.000220064,0.00011658813,0.00030293412,0.0000067136884,0.00013069781,0.00003818868,0.00014240241,0.0000074967597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029933883,0.000022599233,0.00000458315,0.0000117859945,0.000044772994,0.0000012919228,0.00023413693,0.8519266,0.02536333,0.000071845854,0.0147227,0.10756637],"study_design_scores_gemma":[0.00046495782,0.00020259293,0.000023311011,0.000020739291,0.000040753133,0.0000042822503,0.0000045941497,0.92490506,0.071032576,0.00080840476,0.0022402266,0.00025250358],"about_ca_topic_score_codex":0.0000333582,"about_ca_topic_score_gemma":0.0000025344698,"teacher_disagreement_score":0.11320662,"about_ca_system_score_codex":0.00016161712,"about_ca_system_score_gemma":0.000035964727,"threshold_uncertainty_score":0.89739496},"labels":[],"label_agreement":null},{"id":"W2352553701","doi":"","title":"A Stationary Honeycomb Subdivision","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Subdivision; Computer science; Eigenvalues and eigenvectors; Circulant matrix; Mathematical optimization; Algorithm; Honeycomb; Matrix (chemical analysis); Mathematics; Geometry","score_opus":0.0028231726426513454,"score_gpt":0.2241226381804099,"score_spread":0.22129946553775856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2352553701","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0042583426,0.00015977718,0.99265623,0.000039888684,0.000006350847,0.00023858238,0.0000054729994,0.00096095423,0.0016744079],"genre_scores_gemma":[0.2891389,0.00003410584,0.7102673,0.00016423668,0.00010553865,0.0001264403,0.00006263492,0.000027916043,0.00007290332],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993821,0.0000038417224,0.00020293296,0.00015401465,0.000081960294,0.00017519522],"domain_scores_gemma":[0.9996374,0.0000527898,0.000021213003,0.00018273777,0.00003981667,0.000066032226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007415328,0.00009949836,0.000097469136,0.00011243193,0.00006366204,0.000015133092,0.00015894636,0.00004008128,0.000021077922],"category_scores_gemma":[1.8319169e-7,0.00010351572,0.00004795509,0.00039267557,0.000023353463,0.00008224509,0.000035837147,0.00009595763,0.00015221963],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002239529,0.00007881108,0.00030683563,0.000023410517,0.000032159063,0.0000023092362,0.00009421852,0.002151854,0.06895354,0.0045237285,0.0075557833,0.9162751],"study_design_scores_gemma":[0.00010826956,0.00001127105,0.004384946,0.0000064485394,0.00001141628,0.0000083780205,0.000012108683,0.0091768,0.044401452,0.00644928,0.9351876,0.00024205692],"about_ca_topic_score_codex":0.0000024836493,"about_ca_topic_score_gemma":0.0000024720441,"teacher_disagreement_score":0.9276318,"about_ca_system_score_codex":0.0000555352,"about_ca_system_score_gemma":0.0000031639086,"threshold_uncertainty_score":0.42212483},"labels":[],"label_agreement":null},{"id":"W2361186919","doi":"","title":"Methods and Implementation of Getting the Relative Size Gaussian Curvature in 3D Surface","year":2014,"lang":"en","type":"article","venue":"Value Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"La Cité Collégiale","funders":"","keywords":"Gaussian curvature; Artificial intelligence; Computer vision; Curvature; Object (grammar); Computer science; Frame (networking); Hook; Face (sociological concept); Rotation (mathematics); Mathematics; Geometry; Engineering","score_opus":0.005261723477874801,"score_gpt":0.2980618269618273,"score_spread":0.2928001034839525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2361186919","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19890672,0.0004645079,0.80006504,0.000071364964,0.000040377003,0.00010760091,0.0000012794058,0.00017229804,0.00017079954],"genre_scores_gemma":[0.64426476,0.000025543963,0.35565886,0.000007086945,0.000015870584,0.0000059208196,7.782752e-7,0.000017362067,0.0000038030992],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938107,0.000054448232,0.0002202192,0.00011133282,0.00007841833,0.00015449489],"domain_scores_gemma":[0.9992784,0.0005135704,0.00003704109,0.00013310327,0.0000118576045,0.000025995445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004740484,0.000115345094,0.0001792481,0.000049408005,0.000019405727,0.000008311103,0.00007771721,0.00004674292,0.0000061331352],"category_scores_gemma":[0.00016685518,0.00009336379,0.000031480136,0.00032209995,0.000014105215,0.00013087368,0.000029032168,0.00021921116,3.8291518e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012387688,0.0000038663807,0.0021586632,0.00008795992,0.000052301504,5.595777e-7,0.0010683779,0.85848993,0.099022955,0.0045146667,0.00001114511,0.034588333],"study_design_scores_gemma":[0.00014999237,0.000020805515,0.016025802,0.000055207565,0.000027541148,0.0000016722524,0.00010685153,0.91476965,0.06614579,0.0012395848,0.0012746458,0.0001824319],"about_ca_topic_score_codex":0.000030428584,"about_ca_topic_score_gemma":0.00000432374,"teacher_disagreement_score":0.44535804,"about_ca_system_score_codex":0.00003787064,"about_ca_system_score_gemma":0.000002164084,"threshold_uncertainty_score":0.38072652},"labels":[],"label_agreement":null},{"id":"W2372470986","doi":"","title":"An Improved Fitting Algorithm for Subdivision Curve of Non-uniform Data Points","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Subdivision; Algorithm; Reverse engineering; Subdivision surface; Curve fitting; Computer science; Data point; Simplicity; Mathematics; Mathematical optimization; Engineering; Machine learning","score_opus":0.016514429390649024,"score_gpt":0.2961689933358824,"score_spread":0.2796545639452334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2372470986","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002537811,0.000021810178,0.9959517,0.000005734894,0.000032345706,0.00018840062,0.00004677106,0.00027714093,0.00093826104],"genre_scores_gemma":[0.207671,0.00001891167,0.7920888,0.000017862669,0.000018611197,0.000011703814,0.00010023782,0.000027400783,0.00004544388],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992108,0.00000966136,0.0002771001,0.00021528662,0.000089111665,0.00019805344],"domain_scores_gemma":[0.9991201,0.00006858813,0.00004833687,0.00063961546,0.000060866212,0.00006247874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028303123,0.00012072511,0.00021716433,0.000064202446,0.000030318271,0.00001128502,0.0003079591,0.000054937645,0.000037052152],"category_scores_gemma":[0.00008459388,0.00010484815,0.00004742322,0.00019147577,0.000016777738,0.00039799354,0.000045003282,0.00007321129,0.0000024126307],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005726958,0.000137397,0.00024129517,0.000103006845,0.00009572748,0.0000010429221,0.00006166419,0.0012419485,0.073961526,0.0005849579,0.00086180086,0.9227039],"study_design_scores_gemma":[0.00014399571,0.000067134984,0.000034884797,0.00000865315,0.000014512763,6.2431053e-7,0.000036680147,0.8666758,0.13060316,0.00089775916,0.0013914088,0.00012538888],"about_ca_topic_score_codex":0.000022467091,"about_ca_topic_score_gemma":0.000008763363,"teacher_disagreement_score":0.9225785,"about_ca_system_score_codex":0.00002381916,"about_ca_system_score_gemma":0.0000060912225,"threshold_uncertainty_score":0.42755836},"labels":[],"label_agreement":null},{"id":"W2374789931","doi":"","title":"The Research of Anti-aliasing Technology in Catmull Algorithm","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Aliasing; Anti-aliasing; Algorithm; Pixel; Margin (machine learning); Process (computing); Artificial intelligence; Undersampling; Machine learning; Computer hardware","score_opus":0.015875616809859446,"score_gpt":0.32001082068402664,"score_spread":0.3041352038741672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2374789931","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007343981,0.0007748919,0.9900624,0.0009677495,0.0000028437835,0.00032228918,0.000003104318,0.0002581912,0.00026451674],"genre_scores_gemma":[0.32130533,0.0002133499,0.6780364,0.000014572889,0.00005833099,0.00032036775,0.0000034671746,0.000017589295,0.000030567153],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99927694,0.000017272947,0.0002447739,0.00014540109,0.00008943327,0.00022618486],"domain_scores_gemma":[0.9994811,0.00009869907,0.00002264695,0.00029654728,0.00007943243,0.000021570964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017987989,0.000072046125,0.00012289813,0.0002630662,0.00009349388,0.00001397081,0.00036559644,0.000060684833,0.000002048741],"category_scores_gemma":[0.0000010378333,0.00006073245,0.000030140287,0.0012693292,0.00013651767,0.000045213976,0.00008820369,0.00024924884,0.000028710003],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[2.2586603e-7,0.00003496858,0.000110397894,0.000005915269,0.000009721968,2.400544e-7,0.000046284957,0.003207637,0.04316782,0.0015192956,0.0005203999,0.9513771],"study_design_scores_gemma":[0.00009328922,0.000008741456,0.00040486746,0.0000147938445,0.000003994226,0.0000056723184,0.000044248987,0.059050426,0.18002132,0.008951104,0.75128233,0.000119229735],"about_ca_topic_score_codex":0.000010898528,"about_ca_topic_score_gemma":0.000013867187,"teacher_disagreement_score":0.9512579,"about_ca_system_score_codex":0.00008609742,"about_ca_system_score_gemma":0.0000075327002,"threshold_uncertainty_score":0.24765976},"labels":[],"label_agreement":null},{"id":"W2375580262","doi":"","title":"Geometry simulation and non-linear error analysis of free surfaces","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Machining; Envelope (radar); Free form; Surface (topology); Process (computing); Mechanical engineering; Basis (linear algebra); Free surface; Point (geometry); Algorithm; Computer science; Engineering; Engineering drawing; Geometry; Mathematics; Physics; Mechanics","score_opus":0.018330958634426738,"score_gpt":0.28065678969732094,"score_spread":0.2623258310628942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2375580262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59985924,0.00006644605,0.3995498,0.000005755858,0.0000040294058,0.000023665298,0.000003900491,0.00013319674,0.00035399932],"genre_scores_gemma":[0.9620284,0.00006828341,0.03776228,0.000009427003,0.00000628557,0.0000015106402,0.000007441764,0.000008937629,0.00010744603],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995112,0.000005073149,0.0001857906,0.00010156044,0.00011087679,0.00008554023],"domain_scores_gemma":[0.9996172,0.000080567705,0.000027810827,0.00020190606,0.000038041126,0.00003447534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003979453,0.000078478915,0.00025944668,0.00030282667,0.000021945336,0.000001982178,0.00007242775,0.00004075738,0.00008030874],"category_scores_gemma":[0.000036167945,0.000068215464,0.000073467134,0.001222924,0.000039373437,0.00009960361,0.000027092117,0.00004608046,0.0000019492365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001631064,0.00000864671,0.019731257,0.000007749942,0.00026476147,8.100473e-7,0.000031664105,0.9768142,0.0024849758,0.0000075630383,0.000039140865,0.0006075866],"study_design_scores_gemma":[0.000052322892,0.000011545057,0.041354194,0.0000015183856,0.0001698614,1.8026564e-7,0.000011500881,0.94995695,0.008195261,0.00005141173,0.000116110525,0.0000791167],"about_ca_topic_score_codex":0.000048846967,"about_ca_topic_score_gemma":0.000021386535,"teacher_disagreement_score":0.36216918,"about_ca_system_score_codex":0.000011832837,"about_ca_system_score_gemma":0.0000014628614,"threshold_uncertainty_score":0.27817458},"labels":[],"label_agreement":null},{"id":"W2380603065","doi":"","title":"A Study on CIF-to-PG3600 Format Transformation Algorithm","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"L'Alliance Boviteq","funders":"","keywords":"Computer science; Transformation (genetics); Algorithm; Graphics; Software; Division (mathematics); Computer graphics (images); Simple (philosophy); Edit distance; Arithmetic; Mathematics; Programming language","score_opus":0.010912379896052524,"score_gpt":0.28051847238166266,"score_spread":0.2696060924856101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2380603065","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044482555,0.0000053990557,0.93372077,0.000036184374,0.000031493506,0.00032052497,0.0000013291129,0.0010951161,0.020306617],"genre_scores_gemma":[0.954554,0.000004395296,0.045127217,0.00016025841,0.000028224871,0.000027999578,0.0000033626554,0.000019079369,0.00007542228],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992655,0.000005018196,0.00023952892,0.00009388782,0.00018285675,0.0002132341],"domain_scores_gemma":[0.9997032,0.000026029666,0.000010259752,0.00015367215,0.000020848616,0.00008598603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016012327,0.00011676952,0.00013578658,0.00017994059,0.000033004824,0.000012908778,0.000093388924,0.00003288265,0.000034025248],"category_scores_gemma":[0.000004815037,0.00009749346,0.000047801317,0.00038505762,0.0000046977843,0.00019424256,0.000008068852,0.00009782583,0.00014416406],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015256695,0.0002094014,0.00009017595,0.000010685581,0.00006235522,0.000011555263,0.0026375847,0.0058613764,0.0017459674,0.00041433403,0.0008218468,0.9881195],"study_design_scores_gemma":[0.002720129,0.003944279,0.01707622,0.00007842238,0.0001806021,0.000028932933,0.013497605,0.2590513,0.5967588,0.004672992,0.099372596,0.0026181107],"about_ca_topic_score_codex":0.0000055145724,"about_ca_topic_score_gemma":0.000015257685,"teacher_disagreement_score":0.98550135,"about_ca_system_score_codex":0.000074630036,"about_ca_system_score_gemma":0.0000010582266,"threshold_uncertainty_score":0.3975668},"labels":[],"label_agreement":null},{"id":"W2381137338","doi":"","title":"An Algorithm for Generating Offset Loop Subdivision Surface","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Subdivision; Offset (computer science); Subdivision surface; Algorithm; Mathematics; Computer science; Engineering","score_opus":0.01009692992284106,"score_gpt":0.2668623136987547,"score_spread":0.2567653837759136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2381137338","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029640106,0.00008764345,0.968639,0.000005367747,0.00003864937,0.00011033201,0.0000054747634,0.0007144182,0.00075899524],"genre_scores_gemma":[0.24125527,0.000017998089,0.7583947,0.000043958084,0.000024117287,0.000011421272,0.00001897291,0.00002623779,0.00020733278],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994137,0.000015859774,0.00015543209,0.00015202218,0.00008177517,0.00018115618],"domain_scores_gemma":[0.9996646,0.000036337547,0.000014915466,0.00017909233,0.00004021242,0.00006483967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000114455994,0.000107481406,0.00013709583,0.000027563832,0.000053412485,0.000022130786,0.000074595795,0.000047139445,0.000068599744],"category_scores_gemma":[0.000019163183,0.000095268435,0.0000492375,0.00015377304,0.000009189631,0.00015702189,0.000005405202,0.00005790758,0.000008992376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015342304,0.00007867618,0.00024064718,0.000025147954,0.000048258877,0.0000024005228,0.000042944357,0.29992864,0.21664518,0.0030551208,0.00380242,0.47612903],"study_design_scores_gemma":[0.00006387584,0.00003146243,0.000005106352,0.0000020534449,0.0000060311318,8.948973e-7,0.000015650465,0.80233467,0.19247957,0.0005531816,0.0043852488,0.00012225192],"about_ca_topic_score_codex":0.000004864241,"about_ca_topic_score_gemma":0.0000033141955,"teacher_disagreement_score":0.50240606,"about_ca_system_score_codex":0.00003076088,"about_ca_system_score_gemma":0.0000032353785,"threshold_uncertainty_score":0.3884934},"labels":[],"label_agreement":null},{"id":"W2389027842","doi":"","title":"Subdivision Scheme for Poisson Curves Based on de Casteljau Algorithm","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Science North","funders":"","keywords":"Subdivision; Bézier curve; Poisson distribution; Scheme (mathematics); Mathematics; Range (aeronautics); Algorithm; Sequence (biology); Applied mathematics; Mathematical analysis; Geometry; Engineering; Statistics","score_opus":0.008101494078310104,"score_gpt":0.27685038851782884,"score_spread":0.2687488944395187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2389027842","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014716297,0.00012853529,0.99437004,0.00010807621,0.000026821928,0.00015659777,0.0000047974,0.0007755201,0.0029580002],"genre_scores_gemma":[0.3142101,0.000048844042,0.68461764,0.00068380364,0.0000667638,0.000025461632,0.00002230766,0.000044711018,0.00028040388],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992839,0.0000056398535,0.00016215257,0.0001391967,0.00012937836,0.0002797221],"domain_scores_gemma":[0.9995345,0.00015711933,0.0000172004,0.00017095871,0.000035072906,0.00008516548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025016672,0.000120685916,0.00014734906,0.00009720473,0.000030092338,0.000007659847,0.000091857495,0.00005811126,0.00006114603],"category_scores_gemma":[0.000053628366,0.000105834835,0.00008515019,0.00020330393,0.000011761083,0.0000631885,0.000009053958,0.00008952923,0.000012548622],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077080535,0.00029944364,0.001148861,0.00052041805,0.00009434824,0.00003742904,0.000045485325,0.014594794,0.039006732,0.0029579233,0.029575182,0.9116423],"study_design_scores_gemma":[0.00014181777,0.00008547853,0.00027996948,0.000058992835,0.000009489358,9.5312174e-7,0.0000068744193,0.8328757,0.15779263,0.0005652629,0.00802171,0.00016107266],"about_ca_topic_score_codex":0.0000133170915,"about_ca_topic_score_gemma":0.0000074980585,"teacher_disagreement_score":0.9114812,"about_ca_system_score_codex":0.00009961581,"about_ca_system_score_gemma":0.0000044737403,"threshold_uncertainty_score":0.43158194},"labels":[],"label_agreement":null},{"id":"W2389585631","doi":"","title":"Study of Intersections for Subdivision Schemes Based on Triangular Mesh","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Subdivision; Computer science; Bipartite graph; Intersection (aeronautics); Bounding overwatch; Triangle mesh; Graph; Scheme (mathematics); Algorithm; Polygon mesh; Theoretical computer science; Computer graphics (images); Mathematics; Artificial intelligence","score_opus":0.01646100272134163,"score_gpt":0.26577217465061675,"score_spread":0.24931117192927513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2389585631","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0638613,0.000020768928,0.93466777,0.000019601895,0.000006503661,0.00096256175,0.0000109334,0.00034572903,0.00010483919],"genre_scores_gemma":[0.8136066,0.000005449905,0.18520981,0.00003972124,0.000038110014,0.0010414373,0.000020279433,0.000020995702,0.000017560564],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99939877,0.000010046279,0.0002361837,0.00018317714,0.000066165194,0.00010568104],"domain_scores_gemma":[0.9995124,0.00007739929,0.000039148665,0.00027246276,0.0000643605,0.00003426215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003777869,0.00010926507,0.00017969993,0.00016430231,0.00009585157,0.0000052697683,0.00016304677,0.000034194454,0.0000064005294],"category_scores_gemma":[9.503066e-7,0.00010776042,0.00009558222,0.00035224494,0.00002453221,0.000038572078,0.000020228956,0.000072027506,0.0000067741726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017405482,0.012230378,0.0045696176,0.00040118044,0.0010154025,0.000009005087,0.0037446565,0.24965188,0.21396756,0.0051540253,0.046822987,0.46225926],"study_design_scores_gemma":[0.0029827992,0.0010572711,0.0023285483,0.000049628452,0.00016221328,0.000009417495,0.00025920157,0.367615,0.24453834,0.0013130972,0.3789097,0.000774769],"about_ca_topic_score_codex":0.000004930262,"about_ca_topic_score_gemma":0.0000028099969,"teacher_disagreement_score":0.7497453,"about_ca_system_score_codex":0.000038189213,"about_ca_system_score_gemma":0.0000051580187,"threshold_uncertainty_score":0.43943423},"labels":[],"label_agreement":null},{"id":"W2392919350","doi":"","title":"The 3-D Surfaces Reconstruction on 2-D Parallel Contours","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Imperfect; Operator (biology); Surface reconstruction; Algorithm; Artificial intelligence; Computer vision; Computer graphics (images); Surface (topology); Geometry; Mathematics","score_opus":0.005022937937959285,"score_gpt":0.23045309709245623,"score_spread":0.22543015915449693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2392919350","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0056451517,0.0002071595,0.98999065,0.00019348502,0.000018403702,0.00027124156,0.0000020664152,0.0005968677,0.003074944],"genre_scores_gemma":[0.39575225,0.00028796445,0.602827,0.00022860276,0.0002667019,0.00030442368,0.000014041376,0.000041450967,0.00027754306],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994092,0.000006806965,0.00019238726,0.00013903923,0.000066996516,0.00018555004],"domain_scores_gemma":[0.99953884,0.00013518582,0.000031468917,0.00021453814,0.00003427993,0.000045708963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011560585,0.00009912075,0.0000874685,0.000043660217,0.00018260021,0.00003428851,0.00018903242,0.000040912724,0.0000044539474],"category_scores_gemma":[4.1518578e-7,0.0000760207,0.000051147883,0.00021628245,0.000058746107,0.000047158974,0.000017003304,0.00012357761,0.00007793459],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033100719,0.000016009759,0.00009627689,0.000003392836,0.00002925093,2.8669703e-7,0.000023107956,0.009283092,0.007759618,0.003569083,0.002517078,0.9766995],"study_design_scores_gemma":[0.00010315348,0.000015576245,0.0016645399,0.000007492489,0.000010937984,0.000011072702,0.000033033193,0.0075090816,0.018268526,0.006289903,0.9658962,0.0001904879],"about_ca_topic_score_codex":0.0000037216255,"about_ca_topic_score_gemma":0.000018214674,"teacher_disagreement_score":0.97650903,"about_ca_system_score_codex":0.000057648802,"about_ca_system_score_gemma":0.000002702119,"threshold_uncertainty_score":0.31000343},"labels":[],"label_agreement":null},{"id":"W2408673867","doi":"","title":"Some properties of the quasi-cross-cut partition and the dimension of bivariate continuous spline space.","year":2012,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Bivariate analysis; Partition (number theory); Perfect spline; Dimension (graph theory); Spline (mechanical); Combinatorics; Space (punctuation); Mathematical analysis; Pure mathematics; Statistics; Spline interpolation; Thin plate spline; Computer science","score_opus":0.008315725453616796,"score_gpt":0.2261783820274597,"score_spread":0.2178626565738429,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2408673867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997067,0.0019563017,0.00018784073,0.0001369373,0.0003195915,0.00018844774,0.0000021539163,0.00007921773,0.00006251912],"genre_scores_gemma":[0.999581,0.00017547552,0.00015050816,0.000015870739,0.000012166907,0.00001726259,9.0721517e-7,0.000015430822,0.00003140117],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99933714,0.00005187815,0.00024306617,0.000073485986,0.00014270475,0.00015171686],"domain_scores_gemma":[0.9994954,0.000055580153,0.00010002298,0.00025987992,0.00005984586,0.000029276704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024837875,0.00010187085,0.0002508283,0.0000245054,0.000050056708,0.00000839551,0.0001123113,0.000046043293,0.0000028265558],"category_scores_gemma":[0.00008647687,0.000054025284,0.00006706382,0.00015849192,0.00026357357,0.00018568647,0.000079115365,0.0001043515,0.0000017736575],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011899937,0.0002455582,0.017809318,0.00018563466,0.00016683129,3.464083e-7,0.0010809995,0.0005951795,0.20064022,0.7780812,0.00022392003,0.00085183216],"study_design_scores_gemma":[0.0010715151,0.00006641345,0.007146423,0.00011372291,0.0001005074,0.0000025387433,0.00006355698,0.0052134707,0.80230296,0.18336782,0.00038104662,0.0001700179],"about_ca_topic_score_codex":0.000034760218,"about_ca_topic_score_gemma":0.000001053646,"teacher_disagreement_score":0.60166276,"about_ca_system_score_codex":0.000017481063,"about_ca_system_score_gemma":0.0000034493758,"threshold_uncertainty_score":0.2203087},"labels":[],"label_agreement":null},{"id":"W2410508408","doi":"10.48550/arxiv.1606.02959","title":"Isogeometric computation reuse method for complex objects with topology-consistent volumetric parameterization","year":2016,"lang":"en","type":"preprint","venue":"Spectrum Research Repository (Concordia University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Isogeometric analysis; Computation; Bézier curve; Quadrature (astronomy); Reuse; Computer science; Spline (mechanical); Stiffness matrix; Finite element method; Algorithm; Mathematical optimization; Applied mathematics; Set (abstract data type); Mathematics; Topology (electrical circuits); Geometry; Structural engineering","score_opus":0.044389696504629095,"score_gpt":0.3145766588521494,"score_spread":0.2701869623475203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2410508408","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04645571,0.00015035647,0.9435028,0.0003352855,0.0002964958,0.0014201042,0.00006543787,0.0008959098,0.006877916],"genre_scores_gemma":[0.9207123,0.00019623092,0.0772942,0.000009824314,0.0002109371,0.000049709666,0.0001213519,0.00010562153,0.0012998453],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9964412,0.00059622974,0.00043932284,0.0010003574,0.0006606418,0.00086223945],"domain_scores_gemma":[0.9964662,0.0012724429,0.00024668296,0.0011053167,0.00060408766,0.0003052333],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058288954,0.00045522724,0.00081110245,0.0046747485,0.00041330876,0.00014513815,0.0010681158,0.00043752458,0.000016118884],"category_scores_gemma":[0.00036401677,0.00043304643,0.0003162656,0.003983854,0.00035118347,0.00025208847,0.0008212344,0.0009681582,0.000009710449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0061067995,0.0018654965,0.074091166,0.009223554,0.014149937,0.0033851834,0.0016064105,0.32345948,0.3899361,0.011701529,0.028174892,0.13629948],"study_design_scores_gemma":[0.0048382445,0.004331976,0.041630443,0.0009038462,0.0013207429,0.0001636789,0.000857988,0.71759117,0.13411675,0.049444765,0.04047042,0.0043300013],"about_ca_topic_score_codex":0.0010159127,"about_ca_topic_score_gemma":0.00034095495,"teacher_disagreement_score":0.87425655,"about_ca_system_score_codex":0.0018773746,"about_ca_system_score_gemma":0.00026562158,"threshold_uncertainty_score":0.9998121},"labels":[],"label_agreement":null},{"id":"W2417491466","doi":"10.1145/3087604.3087629","title":"Matrix Representations by Means of Interpolation","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"European Commission; Institut national de recherche en informatique et en automatique (INRIA)","keywords":"Maple; Parametric surface; Mathematics; Interpolation (computer graphics); Parametric statistics; Matrix (chemical analysis); Bicubic interpolation; Algebra over a field; Applied mathematics; Algorithm; Pure mathematics; Computer science; Mathematical analysis; Linear interpolation; Image (mathematics); Artificial intelligence","score_opus":0.013902837530432024,"score_gpt":0.32750019930166535,"score_spread":0.3135973617712333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2417491466","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012861026,0.00029397666,0.9638915,0.00007355717,0.00009346551,0.00014032354,0.000051973762,0.00056954427,0.03359955],"genre_scores_gemma":[0.8977557,0.00034718294,0.099813044,0.0000050439835,0.00003464942,0.000044719178,0.00016244219,0.000033342978,0.0018038825],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931586,0.000011048898,0.00029287813,0.000172284,0.00012007826,0.00008783479],"domain_scores_gemma":[0.9991038,0.000029841236,0.00012949998,0.00064931216,0.000055862107,0.000031676183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000049221497,0.00013396946,0.00026742142,0.00009268735,0.00002318491,0.00002356419,0.0002937437,0.00013112751,0.00016042439],"category_scores_gemma":[0.000049891783,0.00013057918,0.00012786427,0.00004364457,0.000037850208,0.000084608466,0.00018736754,0.0002318027,0.000009908087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026617923,0.00023390455,0.005293536,0.0016621636,0.0018240461,0.0000066875705,0.0010039415,0.38566482,0.21049899,0.007969632,0.30957508,0.07624059],"study_design_scores_gemma":[0.00012641562,0.000021000937,0.00042175184,0.0001914054,0.0001861355,0.0000011297288,0.00006484136,0.82434285,0.11271092,0.0523294,0.008998747,0.0006053927],"about_ca_topic_score_codex":0.00016930883,"about_ca_topic_score_gemma":0.000020785876,"teacher_disagreement_score":0.8964696,"about_ca_system_score_codex":0.000037737373,"about_ca_system_score_gemma":0.000005836909,"threshold_uncertainty_score":0.53248644},"labels":[],"label_agreement":null},{"id":"W2438888138","doi":"","title":"Prédiction de performance de matériel graphique dans un contexte avionique par apprentissage automatique","year":2015,"lang":"fr","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","score_opus":0.009339636188664562,"score_gpt":0.22386805139536203,"score_spread":0.21452841520669746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2438888138","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23994923,0.0047883876,0.7458428,0.002615152,0.0002713453,0.0010923514,0.00011364842,0.004249636,0.0010774551],"genre_scores_gemma":[0.6523741,0.0031631903,0.3403039,0.0007088228,0.00028264776,0.0014542858,0.00009499364,0.00027227303,0.0013457724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99400765,0.00075271877,0.0013994382,0.0009395844,0.00067019183,0.0022303928],"domain_scores_gemma":[0.99590564,0.00021102978,0.0005231208,0.0015240208,0.000340918,0.0014952747],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0022261017,0.0011328176,0.0011291414,0.00073479326,0.0004680962,0.00030162037,0.0010906637,0.0014189734,0.000087360364],"category_scores_gemma":[0.0004221294,0.0013302097,0.00055799715,0.0017558747,0.00049279525,0.0013985481,0.0003384895,0.0019963712,0.00007893501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048495262,0.0022233096,0.26450682,0.0016741778,0.0013443051,0.0010114753,0.00962406,0.315469,0.115645245,0.064755164,0.026293797,0.19696768],"study_design_scores_gemma":[0.0008259688,0.00044805158,0.04483098,0.0006227227,0.00032807293,0.0009877575,0.00038050563,0.70626265,0.2145255,0.021211745,0.008090564,0.0014854964],"about_ca_topic_score_codex":0.013800289,"about_ca_topic_score_gemma":0.002269661,"teacher_disagreement_score":0.4124249,"about_ca_system_score_codex":0.0042487495,"about_ca_system_score_gemma":0.00060210534,"threshold_uncertainty_score":0.9998774},"labels":[],"label_agreement":null},{"id":"W2472570188","doi":"10.1007/978-3-319-11815-4_43","title":"Curve45: An Inflection-Point-Bound Function","year":2015,"lang":"en","type":"book-chapter","venue":"Developments in marketing science: proceedings of the Academy of Marketing Science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Inflection point; Inflection; Function (biology); Point (geometry); Mathematics; Computer science; Geometry; Artificial intelligence; Biology; Evolutionary biology","score_opus":0.020363790914219887,"score_gpt":0.2784227311172892,"score_spread":0.2580589402030693,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2472570188","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2590378,0.0004623108,0.00017250968,0.0001705625,0.0008691817,0.0011328084,0.000010033089,0.000620942,0.73752385],"genre_scores_gemma":[0.92851615,0.00041029364,0.0532672,0.00012414403,0.00015901719,0.000050938947,0.0000019616375,0.00015543705,0.017314853],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9931338,0.000047979174,0.001481753,0.0011844528,0.0032354249,0.0009166113],"domain_scores_gemma":[0.99688154,0.00040016125,0.0012037037,0.00027023375,0.0009860419,0.000258286],"candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.042283267,0.000569864,0.00072397984,0.0018668548,0.00058048364,0.00017514185,0.0039053105,0.00035515617,0.000043767814],"category_scores_gemma":[0.007867495,0.00049290946,0.00012934153,0.0034588717,0.003782616,0.002220477,0.0011292301,0.0012640904,0.0000038481967],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014482029,0.00021838633,0.03535886,0.0031332981,0.00024571473,0.0000020193372,0.0021383367,0.00407841,0.6373965,0.019873053,0.0066148075,0.28949237],"study_design_scores_gemma":[0.002019812,0.000413324,0.535855,0.022150548,0.00045919998,0.00012886435,0.0017406989,0.033954136,0.20091347,0.12513368,0.06939106,0.007840222],"about_ca_topic_score_codex":0.000005214141,"about_ca_topic_score_gemma":0.0000015401147,"teacher_disagreement_score":0.720209,"about_ca_system_score_codex":0.0011894427,"about_ca_system_score_gemma":0.0005254809,"threshold_uncertainty_score":0.9997523},"labels":[],"label_agreement":null},{"id":"W2478094912","doi":"10.1007/978-3-319-28106-3_5","title":"Calculus and its Applications","year":2016,"lang":"en","type":"book-chapter","venue":"Problem books in mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Point (geometry); Line (geometry); Calculus (dental); Mathematics; Combinatorics; Geometry; Dentistry; Medicine","score_opus":0.013174765607257688,"score_gpt":0.23629683848031097,"score_spread":0.22312207287305327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2478094912","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000015201889,0.0015470796,0.22304533,0.000025134472,0.000007788937,0.0005789504,0.000018959405,0.0004498567,0.7743254],"genre_scores_gemma":[0.0019835706,0.005134602,0.22529778,0.00004812028,0.0001479134,0.001004411,0.0000149407815,0.00040462645,0.76596403],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99903226,0.0000025165357,0.00043618493,0.0002074751,0.00014174113,0.0001798168],"domain_scores_gemma":[0.99942553,0.00010151135,0.00009344831,0.00028265698,0.000035044857,0.000061824176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008493043,0.0002758647,0.00040952888,0.0001425647,0.000023852734,0.000014705491,0.00016350707,0.00020580713,0.00006722805],"category_scores_gemma":[0.000009375021,0.00023117232,0.00006283794,0.000026098896,0.000046063895,0.000050295635,0.00007716261,0.00025006954,0.0001124405],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.088411e-7,0.000009518788,5.155119e-7,0.0008481761,0.00004956538,0.000003434185,0.00007399653,0.000060379123,0.00031620293,0.97780675,0.00016199551,0.020669067],"study_design_scores_gemma":[0.000064625434,0.00000851583,1.0990969e-7,0.0004988407,0.000044832188,0.0000070654664,0.0000021209992,0.0044786357,0.00043520133,0.8985649,0.09556532,0.00032987585],"about_ca_topic_score_codex":1.7756297e-7,"about_ca_topic_score_gemma":0.000003227667,"teacher_disagreement_score":0.09540332,"about_ca_system_score_codex":0.00009888279,"about_ca_system_score_gemma":0.0000074735863,"threshold_uncertainty_score":0.94269335},"labels":[],"label_agreement":null},{"id":"W2478547880","doi":"10.1007/s10711-018-0326-5","title":"Most Reinhardt polygons are sporadic","year":2018,"lang":"en","type":"preprint","venue":"Geometriae Dedicata","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Simons Foundation","keywords":"Combinatorics; Regular polygon; Polygon (computer graphics); Mathematics; Dihedral group; Equivalence (formal languages); Discrete mathematics; Geometry; Physics; Computer science; Group (periodic table)","score_opus":0.01565694217713873,"score_gpt":0.2546697079883951,"score_spread":0.23901276581125638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2478547880","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06510655,0.021804634,0.86886746,0.0017341701,0.004652981,0.0019740951,0.002787851,0.014954747,0.01811751],"genre_scores_gemma":[0.9499672,0.004974058,0.03795106,0.0005070114,0.0028850508,0.00031472283,0.0021382056,0.00042214492,0.00084052654],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.996938,0.000042360873,0.0007683829,0.0008743323,0.0006745621,0.0007023987],"domain_scores_gemma":[0.99679077,0.00012736324,0.00032378067,0.002166714,0.00019057069,0.00040079138],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041862534,0.0006319857,0.0010455028,0.001506782,0.00009748825,0.0000905126,0.0015197075,0.00070842565,0.00072707434],"category_scores_gemma":[0.0008254396,0.0006397973,0.00029259763,0.0029557906,0.00023867504,0.00012442515,0.0011677796,0.0014195218,0.00073383824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054261553,0.00028003918,0.0042642523,0.0013301476,0.002094337,0.00030321194,0.00011608825,0.007717641,0.0015947513,0.00018280555,0.88908,0.09298246],"study_design_scores_gemma":[0.0015021609,0.00026462504,0.011938425,0.0019704876,0.001596142,0.00008276973,0.00012712604,0.0336323,0.043742403,0.028865779,0.87014854,0.0061292294],"about_ca_topic_score_codex":0.00007498232,"about_ca_topic_score_gemma":0.000012668682,"teacher_disagreement_score":0.8848607,"about_ca_system_score_codex":0.00030131923,"about_ca_system_score_gemma":0.00006985053,"threshold_uncertainty_score":0.99960536},"labels":[],"label_agreement":null},{"id":"W2479247956","doi":"","title":"3D AUDITORY-ARTICULATORY MODELING OF THE LARYNGEAL CONSTRICTOR MECHANISM","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Phonation; Vocal tract; Articulator; Epiglottis; Larynx; Context (archaeology); Glottis; Acoustics; Mathematics; Anatomy; Audiology; Speech recognition; Computer science; Medicine; Geology; Physics; Orthodontics","score_opus":0.0060182156825368096,"score_gpt":0.2070435002817363,"score_spread":0.2010252845991995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2479247956","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09223084,0.000057048735,0.9016241,0.000012344861,0.00014728037,0.000071428585,0.0000010984138,0.00036755615,0.0054883035],"genre_scores_gemma":[0.97266424,0.000009978841,0.02714138,0.00004207698,0.000061539686,0.0000029924372,3.6894613e-7,0.000015173912,0.00006226718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933237,0.000007977757,0.00023322005,0.000088780645,0.00016620877,0.00017145727],"domain_scores_gemma":[0.9996366,0.000037570375,0.000026183005,0.00021494752,0.00003947034,0.00004522058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012689314,0.000090095564,0.00013916171,0.000049384133,0.000030205425,0.0000032815658,0.00013459774,0.000056587916,0.00005343731],"category_scores_gemma":[0.00002060032,0.0000618799,0.000084828214,0.00022708514,0.000031084044,0.00006325639,0.000038569255,0.000116391406,0.0000068809477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012315054,0.00010115127,0.0009509362,0.000088838824,0.00024233873,0.000009869215,0.00019328062,0.5582154,0.3823433,0.039385654,0.001091007,0.01736592],"study_design_scores_gemma":[0.00007436403,0.000009987154,0.000096857984,0.000010692455,0.000027042981,0.0000017301127,0.000042545318,0.8305211,0.1649439,0.0035148188,0.00063196884,0.00012500637],"about_ca_topic_score_codex":0.000009394408,"about_ca_topic_score_gemma":0.000008713087,"teacher_disagreement_score":0.8804334,"about_ca_system_score_codex":0.00004752652,"about_ca_system_score_gemma":0.000006009494,"threshold_uncertainty_score":0.25233895},"labels":[],"label_agreement":null},{"id":"W2487007698","doi":"10.1090/cbms/101/06","title":"Rigid analytic modular parametrisations","year":2003,"lang":"en","type":"book-chapter","venue":"Regional conference series in mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Modular design; Mathematics; Geology; Computer science; Programming language","score_opus":0.03921453025353621,"score_gpt":0.2554007056666943,"score_spread":0.2161861754131581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2487007698","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015934359,0.001015669,0.23325077,0.0003365665,0.00010708813,0.00057053886,0.00004890498,0.0007669356,0.7637442],"genre_scores_gemma":[0.04264816,0.015069089,0.40192583,0.0003466218,0.00020629932,0.00023340592,0.000359353,0.00061095593,0.53860027],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99837214,0.00001141817,0.00065145903,0.00029678695,0.0003992504,0.00026893007],"domain_scores_gemma":[0.9988866,0.00014122046,0.00016421425,0.0005823808,0.00013747766,0.00008814227],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011892429,0.00045338104,0.0007637016,0.00040267364,0.00004264344,0.00004371561,0.00032014222,0.00034597373,0.00040617632],"category_scores_gemma":[0.00007944904,0.00045928493,0.00019610103,0.00018300762,0.00022773733,0.00016962353,0.000041050687,0.0005516536,0.00008596933],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023867947,0.000026810547,0.0000031247814,0.0003033928,0.00014580914,0.000024031839,0.00013475539,0.004531038,0.000057715755,0.9921566,0.0016701467,0.0009441835],"study_design_scores_gemma":[0.00006394714,0.000027744994,0.000002886075,0.00036959123,0.000082525585,0.000027008855,0.000044373413,0.014807765,0.00018137592,0.88491863,0.0989337,0.000540478],"about_ca_topic_score_codex":0.0000017815777,"about_ca_topic_score_gemma":0.000019680214,"teacher_disagreement_score":0.22514391,"about_ca_system_score_codex":0.00022389296,"about_ca_system_score_gemma":0.00004321672,"threshold_uncertainty_score":0.9997859},"labels":[],"label_agreement":null},{"id":"W2487586434","doi":"10.1007/978-1-4614-3442-9","title":"Frontiers of Higher Order Fuzzy Sets","year":2014,"lang":"en","type":"book","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Order (exchange); Fuzzy logic; Computer science; Artificial intelligence; Business","score_opus":0.0051589462506747875,"score_gpt":0.2208770369455624,"score_spread":0.21571809069488762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2487586434","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000011088106,0.0007610685,0.21768166,0.000015226637,0.00015644605,0.000070308095,0.000006650527,0.0006528849,0.78065467],"genre_scores_gemma":[0.00030319495,0.00013993,0.0975836,0.000075015436,0.00008633412,0.000010583115,0.000053741835,0.0000942623,0.90165335],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991946,0.0000070024453,0.00028688964,0.00017545055,0.00017396077,0.0001620643],"domain_scores_gemma":[0.9994363,0.000022991395,0.00006541264,0.0003577182,0.00006222402,0.00005530793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000033187014,0.0002480373,0.0005608587,0.00013745589,0.000008595122,0.000004404731,0.00020201106,0.00027294707,0.00042747924],"category_scores_gemma":[0.0000059096956,0.00021631051,0.00014255647,0.0001009967,0.000054549655,0.00004051102,0.000035552668,0.00023420154,0.00007421893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000012725231,0.0000040246023,0.0000064106966,0.00007357536,0.00016000678,0.0000011748562,0.0000034826412,0.0011039561,0.00005352507,0.0019986273,0.989195,0.007398952],"study_design_scores_gemma":[0.000047515634,0.000015884623,0.0000074558106,0.000026708272,0.00007172691,2.8556252e-7,6.1626207e-7,0.0011037298,0.0004981265,0.02307722,0.9748711,0.00027960507],"about_ca_topic_score_codex":0.000003036413,"about_ca_topic_score_gemma":0.0000030685455,"teacher_disagreement_score":0.120998695,"about_ca_system_score_codex":0.000099296725,"about_ca_system_score_gemma":0.000013476493,"threshold_uncertainty_score":0.88208866},"labels":[],"label_agreement":null},{"id":"W2492326369","doi":"10.1007/978-3-642-56168-9_230","title":"Toward modelling and simulation of tearing and cutting in laparoscopic training environment","year":2002,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Tearing; Training (meteorology); Computer science; Simulation; Engineering; Mechanical engineering; Physics; Meteorology","score_opus":0.04369196777600354,"score_gpt":0.2293180363095618,"score_spread":0.18562606853355826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2492326369","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007896937,0.0016972442,0.8781302,0.000008596897,0.000011800968,0.00020959826,0.0000028794755,0.00021509793,0.111827664],"genre_scores_gemma":[0.95553625,0.001837872,0.038476527,0.000005396784,0.00001830966,0.0000036103056,0.0000030165922,0.000046683515,0.0040723504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992913,0.0000029196713,0.00030451218,0.00018766642,0.00009812877,0.00011549287],"domain_scores_gemma":[0.99975765,0.00006185436,0.000053857922,0.00008923909,0.0000043367895,0.000033062177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005298098,0.00017418356,0.00035806128,0.00014239059,0.000012951254,0.000007827615,0.000033448494,0.00012655243,0.000049038532],"category_scores_gemma":[0.0000036306105,0.00018287307,0.000028436889,0.000015888225,0.000032482967,0.00007200819,0.00003624655,0.00019184094,9.685144e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[7.2253357e-7,0.0000014340728,0.000029252427,0.00007361367,0.000016823124,0.0000015391979,0.00027834636,0.9792953,0.000084073064,0.00076537393,3.4569996e-7,0.019453168],"study_design_scores_gemma":[0.000082887556,0.000012095333,0.0000060671114,0.00016811222,0.000022415094,6.801294e-7,0.000016922653,0.9929065,0.00022704423,0.0056049204,0.00078579324,0.00016654404],"about_ca_topic_score_codex":0.0000068115232,"about_ca_topic_score_gemma":7.97693e-7,"teacher_disagreement_score":0.9476393,"about_ca_system_score_codex":0.000046299665,"about_ca_system_score_gemma":0.0000010935917,"threshold_uncertainty_score":0.74573475},"labels":[],"label_agreement":null},{"id":"W2493142564","doi":"10.1017/cbo9780511619625.011","title":"Appendix. Models for smooth infinitesimal analysis","year":2008,"lang":"en","type":"other","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Infinitesimal; Computer science; Content (measure theory); Information retrieval; Mathematics; Mathematical analysis","score_opus":0.014862403155392617,"score_gpt":0.24813312588367487,"score_spread":0.23327072272828225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2493142564","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[6.3396277e-7,0.00029635004,0.5590609,0.000003790052,0.000014657581,0.00014818666,0.00006181446,0.0019446892,0.438469],"genre_scores_gemma":[0.0009975968,0.0014268638,0.28723478,0.00006983088,0.0001768176,0.00019578838,0.0006108664,0.0009423955,0.70834506],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989833,0.000007439306,0.00025655588,0.0003033294,0.00016118365,0.00028814012],"domain_scores_gemma":[0.99936056,0.000045438555,0.00006511114,0.0004263985,0.000021320184,0.00008117692],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003097165,0.0003391808,0.0007230901,0.0008996068,0.000022183658,0.000012577434,0.00023727308,0.00027811728,0.0024854667],"category_scores_gemma":[0.000007588777,0.0003072339,0.00049365597,0.00083770265,0.000035721067,0.00005501278,0.000027884767,0.00013895932,0.00011961418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026819898,0.00002207079,0.000013416735,0.00006820664,0.0021955944,0.0000034491816,0.00000862972,0.09756311,0.000026041516,0.0008147034,0.8942527,0.0050293887],"study_design_scores_gemma":[0.00008161885,0.000013137431,8.0661863e-7,0.000010915726,0.0006227746,3.9758896e-7,0.000002492548,0.28857172,0.00014745,0.0009512656,0.7091902,0.00040721952],"about_ca_topic_score_codex":0.00007839378,"about_ca_topic_score_gemma":0.00011140422,"teacher_disagreement_score":0.27182612,"about_ca_system_score_codex":0.00004851729,"about_ca_system_score_gemma":0.000006641766,"threshold_uncertainty_score":0.99993795},"labels":[],"label_agreement":null},{"id":"W2496781473","doi":"10.1007/978-3-319-30379-6_42","title":"An Analysis of the Reliability of Error Control B-Spline Gaussian Collocation PDE Software","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Collocation (remote sensing); Gaussian; Piecewise; Reliability (semiconductor); Collocation method; Computer science; Software; Representation (politics); Algorithm; Spline (mechanical); Applied mathematics; Mathematics; Mathematical optimization; Differential equation; Mathematical analysis; Engineering; Machine learning","score_opus":0.00839211937525856,"score_gpt":0.24931126282200822,"score_spread":0.24091914344674967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2496781473","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005109707,0.00011355581,0.96234053,0.000107595384,0.000045341694,0.00044362756,0.0003719185,0.0004338011,0.03563263],"genre_scores_gemma":[0.95920134,0.000060153474,0.011756082,0.0000405228,0.000036356527,0.000024131614,0.00006453466,0.000066100234,0.028750796],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99853885,0.000023612422,0.0007116886,0.0002871316,0.00030351843,0.00013518185],"domain_scores_gemma":[0.998036,0.00013725495,0.0003178552,0.0011874025,0.0002592232,0.00006221873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017081157,0.00027018474,0.0009271515,0.00027257114,0.000024554542,0.0000037506006,0.0003785072,0.00025580113,0.0005659924],"category_scores_gemma":[0.00007734862,0.0001600843,0.00056560506,0.00024988566,0.00016638031,0.00008327248,0.000031917993,0.00016462404,0.0000038080643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032503167,0.00050160487,0.0186987,0.0014159281,0.01908713,0.0000042635425,0.00028348767,0.71606237,0.03041422,0.12928209,0.0015141933,0.08241099],"study_design_scores_gemma":[0.0024423832,0.0008073795,0.033644397,0.0012999006,0.042585686,0.0000025776433,0.00006741991,0.66312325,0.061730992,0.14760773,0.04233062,0.004357691],"about_ca_topic_score_codex":0.000027887638,"about_ca_topic_score_gemma":0.00013887027,"teacher_disagreement_score":0.95869035,"about_ca_system_score_codex":0.00013961211,"about_ca_system_score_gemma":0.000021093048,"threshold_uncertainty_score":0.6528048},"labels":[],"label_agreement":null},{"id":"W2501027529","doi":"10.1090/fim/009/02","title":"Prerequisites from point set topology","year":2008,"lang":"en","type":"book-chapter","venue":"American Mathematical Society eBooks","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Topology (electrical circuits); Set (abstract data type); Point (geometry); Computer science; Mathematics; Combinatorics; Geometry; Programming language","score_opus":0.01317148787936341,"score_gpt":0.24068419721805676,"score_spread":0.22751270933869336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2501027529","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00033461367,0.00046752824,0.12885262,0.00011856415,0.000052945834,0.0004046565,0.00015503257,0.0021787724,0.8674353],"genre_scores_gemma":[0.03437668,0.0030207343,0.56452876,0.0035857866,0.001265735,0.00032588613,0.0004152631,0.0012992579,0.3911819],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978386,0.000016824199,0.00069953233,0.0005405981,0.00040166275,0.0005027675],"domain_scores_gemma":[0.9982278,0.00046976717,0.00023385724,0.00077206094,0.000058261157,0.00023830617],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000067373665,0.00068705005,0.0014120418,0.000051078983,0.00009471605,0.000024861502,0.00043746948,0.00038216324,0.0012127946],"category_scores_gemma":[0.000028558114,0.0006319279,0.0009474255,0.000040776184,0.0013089866,0.000044734392,0.00018523421,0.0008383433,0.00051418436],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061744846,0.00022029965,0.000033381843,0.0012152805,0.011620964,0.00037651235,0.013413419,0.00046514932,0.0052530603,0.3411201,0.38730156,0.23891854],"study_design_scores_gemma":[0.00020598856,0.0001963295,0.0000051464594,0.000239678,0.00045552297,0.000041763946,0.00021413015,0.005625168,0.0015777,0.76924187,0.22047494,0.0017217464],"about_ca_topic_score_codex":0.000027751572,"about_ca_topic_score_gemma":0.0000030036233,"teacher_disagreement_score":0.4762534,"about_ca_system_score_codex":0.00022986627,"about_ca_system_score_gemma":0.000023503711,"threshold_uncertainty_score":0.99970025},"labels":[],"label_agreement":null},{"id":"W2501307165","doi":"10.1007/978-3-642-56535-9_122","title":"Lagrangian Block Method","year":2001,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Numerical diffusion; Advection; Eulerian path; Dissipation; Turbulence; Diffusion; Stability (learning theory); Computer simulation; Computation; Block (permutation group theory); Numerical stability; Applied mathematics; Numerical analysis; Mechanics; Statistical physics; Mathematics; Physics; Computer science; Lagrangian; Algorithm; Mathematical analysis; Geometry; Thermodynamics","score_opus":0.011822439964515236,"score_gpt":0.2581550333348162,"score_spread":0.24633259337030097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2501307165","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[1.11183454e-7,0.00031389634,0.34781557,0.000025308058,0.000029132676,0.00006260876,0.000004093916,0.0013963617,0.65035295],"genre_scores_gemma":[0.00009968713,0.0008004656,0.16600545,0.000115898176,0.0001468421,0.000008134491,0.000018979785,0.00013546532,0.8326691],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991621,0.000003708092,0.00024882282,0.0002302058,0.0001616986,0.00019350887],"domain_scores_gemma":[0.99944156,0.00004397151,0.00003443368,0.00036009323,0.000031916694,0.00008799659],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004942013,0.00031896646,0.00042892384,0.00016200809,0.000019273126,0.000012203754,0.0001820014,0.00028991286,0.0023346948],"category_scores_gemma":[0.0000042092192,0.00028792262,0.00023497091,0.000050413044,0.000020454429,0.000041586827,0.000035200144,0.00034494864,0.0004531261],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000063926855,0.000018341665,0.0000028094244,0.00015621813,0.001056749,0.00018465768,0.00003228771,0.009090074,0.0012021015,0.38099703,0.09117019,0.5160831],"study_design_scores_gemma":[0.000030415338,0.000011273647,4.263526e-7,0.000026810525,0.00008053293,0.000012662393,8.415299e-7,0.002263351,0.0007689331,0.042634558,0.9537955,0.00037469217],"about_ca_topic_score_codex":0.0000070066753,"about_ca_topic_score_gemma":0.000015500558,"teacher_disagreement_score":0.8626253,"about_ca_system_score_codex":0.00007326102,"about_ca_system_score_gemma":0.0000033582207,"threshold_uncertainty_score":0.99995726},"labels":[],"label_agreement":null},{"id":"W2506236454","doi":"10.1017/cbo9780511809835.017","title":"Scott's D∞ and other models","year":2012,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Semantics (computer science); Programming language; Computer science; Calculus (dental); Linguistics; Philosophy; Medicine","score_opus":0.020908608317943278,"score_gpt":0.19166479668339526,"score_spread":0.17075618836545198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2506236454","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000032474272,0.0010594963,0.037487756,0.0000016350839,0.000039782673,0.00015847471,0.00009713576,0.0006533905,0.96046984],"genre_scores_gemma":[0.0043139807,0.0005103925,0.0015668162,0.000040530012,0.00009056081,7.826881e-7,0.000009943186,0.00010247222,0.9933645],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99926007,0.000008443139,0.0001203286,0.00024671538,0.00013187138,0.00023259026],"domain_scores_gemma":[0.9993879,0.000023845596,0.000055350716,0.0003380655,0.000034883356,0.00015991133],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00003409346,0.0003121393,0.00035439525,0.00013596492,0.000056297944,0.000016331609,0.0002079203,0.00027364295,0.00000569044],"category_scores_gemma":[0.0000010938343,0.00036280145,0.00011770279,0.000006087159,0.00014366895,0.00013108875,0.00016159994,0.00033052263,0.000008318038],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011381214,0.00000326622,0.0000011822534,0.000092449176,0.0001984574,0.000029058001,0.000028563789,0.00026012873,0.00013952376,0.9852235,0.007372405,0.006640117],"study_design_scores_gemma":[0.00011557491,0.000010289117,9.3523664e-7,0.00007350502,0.00020388913,0.0000065059826,0.000004776109,0.0030510782,0.0006176184,0.00016165897,0.9953106,0.00044358207],"about_ca_topic_score_codex":0.000029935956,"about_ca_topic_score_gemma":7.669803e-7,"teacher_disagreement_score":0.98793817,"about_ca_system_score_codex":0.0001138281,"about_ca_system_score_gemma":0.00000645608,"threshold_uncertainty_score":0.9998824},"labels":[],"label_agreement":null},{"id":"W2512121466","doi":"10.1016/j.cma.2016.08.015","title":"Multiscale isogeometric topology optimization for lattice materials","year":2016,"lang":"en","type":"article","venue":"Computer Methods in Applied Mechanics and Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":242,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Isogeometric analysis; Homogenization (climate); Topology optimization; Lattice (music); Asymptotic homogenization; Finite element method; Topology (electrical circuits); Benchmark (surveying); Applied mathematics; Mathematics; Mathematical optimization; Basis function; Computer science; Mathematical analysis; Structural engineering; Physics; Engineering","score_opus":0.014714715943145289,"score_gpt":0.2885485763805381,"score_spread":0.27383386043739283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2512121466","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00094049313,0.00012108626,0.998064,0.00001915712,0.0002750587,0.00021490593,0.0000053173962,0.00033927866,0.000020698422],"genre_scores_gemma":[0.043644913,0.00021744582,0.9558616,0.000020809759,0.00008248678,0.00012449927,0.0000030677263,0.00004164927,0.0000034918776],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992137,0.000014689542,0.0002632928,0.00021860034,0.000044090168,0.00024565915],"domain_scores_gemma":[0.9994077,0.00035071178,0.00002698262,0.00014640676,0.000015197504,0.00005298027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036242406,0.00015975488,0.0003012458,0.00028200215,0.00001875066,0.000016466915,0.000104095234,0.0001073588,0.000012728461],"category_scores_gemma":[0.000038964066,0.0001339506,0.000028335571,0.00031035865,0.0000055703317,0.000051469382,0.00006481521,0.000059113772,7.813724e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006734869,0.000010494835,0.0000011560949,0.00010699756,0.000028647695,7.824201e-7,0.000025852185,0.31952602,0.26043943,0.036637638,0.0000138978485,0.38320234],"study_design_scores_gemma":[0.0002846448,0.000021296351,0.0000063056577,0.0000232816,0.000011468765,0.0000021471033,0.0000020895943,0.91017073,0.08212567,0.0061484724,0.0010127963,0.00019109072],"about_ca_topic_score_codex":6.5657247e-7,"about_ca_topic_score_gemma":1.6013574e-7,"teacher_disagreement_score":0.5906447,"about_ca_system_score_codex":0.000052160787,"about_ca_system_score_gemma":0.0000016806778,"threshold_uncertainty_score":0.54623467},"labels":[],"label_agreement":null},{"id":"W2522550861","doi":"10.1016/j.jmaa.2016.09.033","title":"A smoothing stochastic simulated annealing method for localized shapes approximation","year":2016,"lang":"en","type":"article","venue":"Journal of Mathematical Analysis and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Mathematics; Convexity; Spline (mechanical); Smoothing spline; Smoothing; Mathematical optimization; Applied mathematics; Unimodality; Simulated annealing; Thin plate spline; Constraint (computer-aided design); Spline interpolation; Combinatorics; Geometry","score_opus":0.012391773716770386,"score_gpt":0.3020726047697538,"score_spread":0.2896808310529834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2522550861","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019908512,0.0001363833,0.9972806,0.00027718552,0.0000028095217,0.0001920972,0.000007902854,0.000072977775,0.000039168266],"genre_scores_gemma":[0.5236757,0.00003935455,0.47611514,0.000022636246,0.000056686582,0.000051808325,0.0000021068508,0.00001637018,0.000020206733],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889535,0.00002335395,0.00065928296,0.00012060633,0.0001654376,0.00013597749],"domain_scores_gemma":[0.998541,0.00082831015,0.00022578664,0.00011773216,0.00018182742,0.000105346415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045835556,0.00012198796,0.00050457334,0.0002807008,0.00006809117,0.000031329135,0.00011984188,0.00005796294,0.000037961738],"category_scores_gemma":[0.00015645423,0.00007360882,0.00028409294,0.00062581943,0.00003550877,0.0001395583,0.000015377735,0.00007545939,0.0000023104085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050417668,0.00025792042,0.000048481077,0.0003667867,0.0042177555,0.0000012653215,0.00027029522,0.51451355,0.064736344,0.04763312,0.00011422834,0.36778983],"study_design_scores_gemma":[0.00022636335,0.000023500736,0.000016336886,0.00004706132,0.0013391883,0.0000054490224,0.000032417363,0.859115,0.0016971916,0.13693438,0.00045249212,0.00011058939],"about_ca_topic_score_codex":6.3262314e-7,"about_ca_topic_score_gemma":5.918931e-7,"teacher_disagreement_score":0.5216848,"about_ca_system_score_codex":0.0000375019,"about_ca_system_score_gemma":0.00000533188,"threshold_uncertainty_score":0.30016804},"labels":[],"label_agreement":null},{"id":"W2522742539","doi":"10.1007/s00170-016-9340-7","title":"A comprehensive approach to determining minimum cutter lengths for five-axis milling","year":2016,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Fixture; Machining; Point cloud; Milling cutter; Collision; Engineering; Collision detection; Process (computing); Machine tool; Interference (communication); Cutter location; Minimum bounding box; Point (geometry); Cylinder; Algorithm; Geometry; Numerical control; Computer science; Mechanical engineering; Mathematics; Computer vision","score_opus":0.012208508894546749,"score_gpt":0.26086002589645463,"score_spread":0.24865151700190788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2522742539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5184203,0.00011436134,0.47840548,0.0023541136,0.00028586632,0.00015001876,0.000007887984,0.00018667671,0.00007535331],"genre_scores_gemma":[0.8250458,0.00017596061,0.17424493,0.00021918003,0.00015755273,0.000045182205,7.9532134e-7,0.000036888116,0.000073692296],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99873817,0.000011593678,0.0005113911,0.00018990997,0.00026326615,0.0002856737],"domain_scores_gemma":[0.99890286,0.0002956687,0.0002155964,0.00025534834,0.00027075649,0.000059759368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001110154,0.00020640009,0.0003345791,0.00052192743,0.000055930886,0.000020912654,0.0011452636,0.0000960851,0.000005765941],"category_scores_gemma":[0.00013975443,0.00012575462,0.00016577942,0.00011635365,0.00007837105,0.0002192742,0.00016138001,0.0002399088,0.000007113225],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024549215,0.000041705553,0.00004345303,0.000025166468,0.00047704787,0.000022809894,0.00015595889,0.06363367,0.44151914,0.00039932967,0.0008497147,0.4925865],"study_design_scores_gemma":[0.0007272453,0.0002230123,0.000081741826,0.00014959466,0.00003228152,0.00020000793,0.00023884985,0.0015283702,0.94525504,0.014789733,0.036535226,0.00023891944],"about_ca_topic_score_codex":7.694073e-7,"about_ca_topic_score_gemma":9.1260574e-7,"teacher_disagreement_score":0.50373584,"about_ca_system_score_codex":0.00020246103,"about_ca_system_score_gemma":0.000010234349,"threshold_uncertainty_score":0.51281244},"labels":[],"label_agreement":null},{"id":"W2525806683","doi":"10.1080/21681163.2016.1222311","title":"A computer and image-assisted guidance system for radial head arthroplasty","year":2016,"lang":"en","type":"article","venue":"Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St Joseph's Health Care; Western University","funders":"","keywords":"Orientation (vector space); Computer vision; Artificial intelligence; Implant; Computer science; Head (geology); Navigation system; Visualization; Biomedical engineering; Surgery; Medicine; Mathematics; Geology","score_opus":0.012240038537319382,"score_gpt":0.3204959724247557,"score_spread":0.30825593388743633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2525806683","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00213824,0.00053700065,0.99554616,0.00010256898,0.0006779438,0.0002360618,0.000015987764,0.00074457756,0.0000014400372],"genre_scores_gemma":[0.06612508,0.00016296729,0.93327904,0.000041749918,0.0002582832,0.000053969266,0.000018100664,0.00005848555,0.0000023053651],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985236,0.00006684601,0.0004901469,0.00041870365,0.00014743842,0.00035326032],"domain_scores_gemma":[0.999237,0.00030441687,0.00006200364,0.00016859609,0.00006343441,0.00016456246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060966855,0.000273238,0.00040464802,0.00042994836,0.000050275394,0.000069587906,0.00011163993,0.00011200808,0.0000016826015],"category_scores_gemma":[0.00005997064,0.00021759873,0.00005777248,0.00051474717,0.000077404264,0.00018694768,0.00011290182,0.00008610072,6.212685e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074698255,0.000025552568,0.00003204954,0.0003789902,0.00003193151,0.0000064888254,0.000035465047,0.00016591337,0.21674022,0.001714967,0.00011852808,0.7807424],"study_design_scores_gemma":[0.00069380767,0.00007363034,0.00021868473,0.00045581575,0.000018143155,0.000037729904,0.0000034514603,0.98230994,0.008014355,0.00028498605,0.0075800354,0.0003094351],"about_ca_topic_score_codex":0.000003656588,"about_ca_topic_score_gemma":3.564244e-7,"teacher_disagreement_score":0.982144,"about_ca_system_score_codex":0.00012921786,"about_ca_system_score_gemma":0.000008585171,"threshold_uncertainty_score":0.88734186},"labels":[],"label_agreement":null},{"id":"W2541916123","doi":"10.1109/icm-02.2002.1161523","title":"A generalized transform, grouping, Fourier, Laplace and Z transforms","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université de Montréal","funders":"University of Cambridge","keywords":"Laplace transform; Laplace transform applied to differential equations; Mathematics; Two-sided Laplace transform; Fourier transform; Mellin transform; Fractional Fourier transform; Mathematical analysis; Inverse Laplace transform; Fourier inversion theorem; Fourier analysis","score_opus":0.005119348061408144,"score_gpt":0.21431398369596735,"score_spread":0.2091946356345592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2541916123","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09686327,0.0004383299,0.89332443,0.00037390026,0.000020703446,0.00014421855,0.0000022277593,0.0011990402,0.00763386],"genre_scores_gemma":[0.8727813,0.0009134613,0.1257874,0.00016604201,0.000027353548,0.00003596241,0.000004971733,0.00003511182,0.00024841054],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993782,0.000003481935,0.00016794493,0.00013674401,0.00010175648,0.0002118506],"domain_scores_gemma":[0.9997698,0.000008410461,0.0000074084296,0.00011261472,0.000010076033,0.000091692615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000046092082,0.0001441154,0.00019081024,0.000062957966,0.000038453694,0.000017184622,0.00007146717,0.000060048584,0.000059525773],"category_scores_gemma":[0.0000029531436,0.00011442926,0.000068451904,0.00018427339,0.00003517923,0.00020263407,0.000004624564,0.00010123164,0.000007916047],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012885686,0.00024010372,0.00028274624,0.00048662355,0.000680302,0.00007812561,0.0030616214,0.10572029,0.12112737,0.17204303,0.0016368247,0.59451413],"study_design_scores_gemma":[0.005675316,0.00038885305,0.00039033085,0.000099089935,0.00020104385,0.00010714223,0.00020867621,0.068645336,0.54619384,0.2603208,0.11575547,0.0020140836],"about_ca_topic_score_codex":0.000049399347,"about_ca_topic_score_gemma":0.00007420649,"teacher_disagreement_score":0.775918,"about_ca_system_score_codex":0.0000450227,"about_ca_system_score_gemma":0.0000037857849,"threshold_uncertainty_score":0.46662897},"labels":[],"label_agreement":null},{"id":"W2542077003","doi":"10.2200/s00041ed1v01200607cgr001","title":"A Blossoming Development of Splines","year":2006,"lang":"en","type":"article","venue":"Synthesis lectures on computer graphics and animation","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Bézier curve; Development (topology); CAD; B-spline; Mathematics; Spline (mechanical); Computer science; Engineering drawing; Geometry; Engineering; Mathematical analysis; Mechanical engineering","score_opus":0.005971992654804325,"score_gpt":0.2009276520679233,"score_spread":0.19495565941311896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2542077003","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40420762,0.00010079971,0.5953288,0.000021436997,0.0000159409,0.000045826928,0.0000011026914,0.00014257432,0.00013590082],"genre_scores_gemma":[0.92304116,0.00002331813,0.07685175,0.000018306311,0.000042385294,0.00000867099,0.00000295848,0.000010271435,0.0000011884287],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995089,0.000009275012,0.00019797857,0.00010381229,0.00009684182,0.00008318595],"domain_scores_gemma":[0.99976397,0.000085719315,0.000040652918,0.00006870471,0.000025538686,0.00001539656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057244175,0.00009909766,0.00014318373,0.0001530801,0.000050133793,0.00001666226,0.00004795553,0.0000395093,0.0000023621847],"category_scores_gemma":[0.000006052529,0.0000845085,0.00003688243,0.00015878836,0.00002004871,0.000039506955,0.000011431634,0.00004944173,5.6240685e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035861107,0.00023797655,0.0027375275,0.0006015582,0.00026836767,0.000003446867,0.00045573935,0.037355553,0.112231046,0.08313687,0.0007970902,0.76213896],"study_design_scores_gemma":[0.00010544045,0.00004744057,0.032506846,0.00018355071,0.000034460685,0.0000023373066,0.00000393639,0.49951252,0.44943526,0.015514002,0.0023000594,0.00035413008],"about_ca_topic_score_codex":0.0000039513566,"about_ca_topic_score_gemma":0.0000116923675,"teacher_disagreement_score":0.76178485,"about_ca_system_score_codex":0.000009968768,"about_ca_system_score_gemma":0.0000026057296,"threshold_uncertainty_score":0.34461567},"labels":[],"label_agreement":null},{"id":"W2544413399","doi":"","title":"Modélisation et analyse de défauts non francs dans le blindage des lignes coaxiales en vue du diagnostic","year":2016,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Humanities; Art","score_opus":0.009724272220192636,"score_gpt":0.23786725103116754,"score_spread":0.2281429788109749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2544413399","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17260654,0.0014377484,0.80845195,0.007460556,0.00014254978,0.0004525678,0.00011240813,0.0006360469,0.008699621],"genre_scores_gemma":[0.82257235,0.006739169,0.16687045,0.000062427986,0.0000754123,0.00020285982,0.00039274592,0.0001294369,0.0029551433],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9908503,0.0060311914,0.00096742675,0.0009799573,0.00047867466,0.000692432],"domain_scores_gemma":[0.9888603,0.0066604484,0.00056909234,0.0020974798,0.0014526631,0.00035999],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0052156905,0.0006903441,0.0008104036,0.00041559277,0.00053219794,0.00034521474,0.0014734258,0.0005894713,0.00013709083],"category_scores_gemma":[0.0056131477,0.00071329746,0.00048376428,0.00085229496,0.0006597905,0.00053650595,0.00095903914,0.0008193559,0.00009753546],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054941178,0.0028498096,0.08040101,0.0014648805,0.0013386953,0.00008726578,0.077721044,0.1499691,0.25189716,0.21391419,0.0016380233,0.21866389],"study_design_scores_gemma":[0.0008478685,0.00000241283,0.051895104,0.0048996774,0.0004279465,0.000026643758,0.00051017344,0.26787436,0.5807185,0.0828024,0.008500844,0.0014940611],"about_ca_topic_score_codex":0.0064765573,"about_ca_topic_score_gemma":0.007509176,"teacher_disagreement_score":0.6499658,"about_ca_system_score_codex":0.00079836365,"about_ca_system_score_gemma":0.00029652662,"threshold_uncertainty_score":0.9995318},"labels":[],"label_agreement":null},{"id":"W2545923857","doi":"10.1109/fbie.2009.5405794","title":"Combination of enhanced AdaBoosting techniques for the characterization of breast cancer tumors","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Boosting (machine learning); Breast cancer; Modalities; Computer science; CAD; Machine learning; Artificial intelligence; Gradient boosting; Algorithm; Medicine; Cancer; Internal medicine; Engineering","score_opus":0.005653471483378663,"score_gpt":0.24724910610707762,"score_spread":0.24159563462369896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2545923857","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059363894,0.000024261333,0.9394296,0.00018810971,0.000012875841,0.00027393858,0.00001910325,0.000290808,0.00039740486],"genre_scores_gemma":[0.9914825,0.000091720896,0.008267258,0.000034153374,0.000018150438,0.000054642493,0.000010760507,0.000009413654,0.00003137663],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995353,0.000005174213,0.00023373976,0.000066988694,0.00007990854,0.00007886077],"domain_scores_gemma":[0.9996165,0.000045316654,0.000093737675,0.00010322491,0.00013030572,0.000010915859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000063867024,0.00007012527,0.00014991673,0.000051875246,0.0000206027,0.0000032246962,0.00008894308,0.000027758342,0.000017133474],"category_scores_gemma":[0.000015375159,0.000050028273,0.00004697058,0.00021972191,0.000019730005,0.000108640386,0.000005857729,0.00003631025,9.8273944e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060199172,0.000014619004,0.000033546126,0.000021099124,0.00000927568,1.2386957e-8,0.000025279269,0.00027059895,0.81496954,0.0007465137,0.000009649944,0.18389383],"study_design_scores_gemma":[0.000048352413,0.00003649092,0.008631694,0.000047822698,0.000015995161,3.0855142e-7,0.000009736969,0.023773307,0.96648896,0.0008266192,0.000060722203,0.000059989576],"about_ca_topic_score_codex":0.000011999125,"about_ca_topic_score_gemma":0.0000020546724,"teacher_disagreement_score":0.93211865,"about_ca_system_score_codex":0.000025514784,"about_ca_system_score_gemma":0.0000043783907,"threshold_uncertainty_score":0.20400937},"labels":[],"label_agreement":null},{"id":"W2555019917","doi":"10.1080/16864360.2016.1257183","title":"Towards quantitative mesh pre-optimization for finite element analysis","year":2016,"lang":"en","type":"article","venue":"Computer-Aided Design and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"National Science and Technology Major Project; Wuhan Institute of Technology; Nanjing University of Aeronautics and Astronautics; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Machining; Kinematics; Machine tool; Computer science; Metric (unit); Numerical control; Finite element method; Computation; Bottleneck; Displacement (psychology); Algorithm; Mechanical engineering; Engineering; Structural engineering","score_opus":0.021370536308050043,"score_gpt":0.28226001389188393,"score_spread":0.2608894775838339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2555019917","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000615487,0.00010439353,0.9984994,0.00017363472,0.000009882145,0.0006712788,0.000027079892,0.00040608164,0.000046720834],"genre_scores_gemma":[0.072223604,0.00026819544,0.92611736,0.00006849219,0.000044342927,0.0011821984,0.000038264,0.000019069425,0.00003849413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999247,0.000024984914,0.00024875428,0.0002483109,0.00007874328,0.00015221469],"domain_scores_gemma":[0.9990878,0.00046230352,0.000056538287,0.00022936145,0.00009314456,0.000070849164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010958824,0.00013397829,0.00022227046,0.00017332846,0.00008603119,0.000029526247,0.000120517274,0.000042536303,0.000021215867],"category_scores_gemma":[0.00001659496,0.000103476,0.000093313734,0.0005777542,0.00003820379,0.00011348727,0.00002740608,0.0000316778,0.000004135371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008285625,0.000032868775,0.000018190654,0.000016237627,0.00032411073,1.01686226e-7,0.000038309987,0.84234005,0.0011125499,0.0107538365,0.0007261043,0.14462934],"study_design_scores_gemma":[0.0001662966,0.00006701621,0.00008076973,0.000008665917,0.00021888284,1.843616e-7,0.000003671432,0.98416674,0.0031604571,0.0068655,0.005103115,0.00015869287],"about_ca_topic_score_codex":0.0000017540643,"about_ca_topic_score_gemma":9.465372e-7,"teacher_disagreement_score":0.14447065,"about_ca_system_score_codex":0.00004325276,"about_ca_system_score_gemma":0.0000073018937,"threshold_uncertainty_score":0.4219629},"labels":[],"label_agreement":null},{"id":"W2565980954","doi":"10.1016/j.jmaa.2016.12.029","title":"On the convergence of cardinal interpolation by parameterized radial basis functions","year":2016,"lang":"en","type":"article","venue":"Journal of Mathematical Analysis and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Radial basis function; Mathematical analysis; Interpolation (computer graphics); Basis (linear algebra); Parameterized complexity; Function (biology); Sinc function; Inverse; Basis function; Combinatorics; Geometry; Motion (physics)","score_opus":0.0077318657429539224,"score_gpt":0.23347701823769135,"score_spread":0.22574515249473742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565980954","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05188458,0.000057006226,0.94720745,0.00049852656,0.0000059918984,0.00006926941,0.000019178,0.00001651206,0.00024150492],"genre_scores_gemma":[0.9927259,0.00014721659,0.0069970037,0.000019427867,0.000024457086,0.000031363285,0.0000012351991,0.000006271933,0.000047135072],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991753,0.00003070968,0.00047173974,0.000074370226,0.0001724593,0.000075420365],"domain_scores_gemma":[0.9988751,0.00061718206,0.00018730904,0.00016981848,0.00008837411,0.000062206855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021389982,0.000083455794,0.0003253181,0.00013540387,0.000043761465,0.000011141935,0.0001175425,0.00003180772,0.00027712458],"category_scores_gemma":[0.00008939382,0.000040857863,0.00025482368,0.0005223717,0.00009437784,0.00006813293,0.000012357969,0.000078856574,0.000007489577],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015699961,0.0011437489,0.0043776887,0.00020918675,0.012851586,0.0000022767988,0.00033441174,0.0030285968,0.58652616,0.21813715,0.016851647,0.15638058],"study_design_scores_gemma":[0.001527185,0.00075941463,0.004700599,0.00041179013,0.013489393,0.00005307776,0.000600155,0.2141157,0.09256269,0.653959,0.016709492,0.0011115572],"about_ca_topic_score_codex":0.0000010004146,"about_ca_topic_score_gemma":5.514898e-7,"teacher_disagreement_score":0.9408413,"about_ca_system_score_codex":0.000019884124,"about_ca_system_score_gemma":0.0000039802676,"threshold_uncertainty_score":0.303432},"labels":[],"label_agreement":null},{"id":"W2571304999","doi":"10.1142/9789813208414_0063","title":"A new dynamic scanning curve method based on Qt_E","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science","score_opus":0.011150604341811143,"score_gpt":0.3216541753640571,"score_spread":0.31050357102224596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2571304999","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00039113086,0.000018435265,0.9568057,0.00024188754,0.000040762618,0.000054069875,9.3854453e-7,0.00057001726,0.041877054],"genre_scores_gemma":[0.43439,0.0000042854413,0.5643237,0.00007898572,0.000021568512,0.0000067876085,0.0000017927329,0.000022979575,0.0011498769],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994196,0.000012434277,0.00011723512,0.00015972956,0.0001161247,0.0001748722],"domain_scores_gemma":[0.99925077,0.000057963607,0.00003477267,0.00055424054,0.000014199845,0.00008804083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009515532,0.00012494647,0.00017484323,0.00007434051,0.000096361255,0.000055125965,0.00026986827,0.000046451365,0.0002844959],"category_scores_gemma":[0.00007618815,0.00010776603,0.00008087708,0.0000680861,0.000012940101,0.0001299457,0.000029813085,0.00013210416,0.0000659803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011511036,0.000019173029,0.00057802437,0.000019332783,0.00005561562,0.000014286403,0.000024473005,0.25576016,0.008351856,0.0011614796,0.0030895327,0.73091453],"study_design_scores_gemma":[0.000112038215,0.000024147628,0.0011809708,0.000022937502,0.000013096995,4.840734e-7,0.0000031837853,0.98023427,0.011851631,0.0020525404,0.0043401043,0.00016458331],"about_ca_topic_score_codex":0.000110762085,"about_ca_topic_score_gemma":0.000031162817,"teacher_disagreement_score":0.73074996,"about_ca_system_score_codex":0.000066257846,"about_ca_system_score_gemma":0.000007896549,"threshold_uncertainty_score":0.4394571},"labels":[],"label_agreement":null},{"id":"W2572442296","doi":"10.1090/dimacs/067/01","title":"A survey of subdivision-based tools for surface modeling","year":2005,"lang":"en","type":"book-chapter","venue":"DIMACS series in discrete mathematics and theoretical computer science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Subdivision; Subdivision surface; Surface (topology); Computer science; Geography; Mathematics; Archaeology; Geometry","score_opus":0.021146627614562562,"score_gpt":0.2635102341949396,"score_spread":0.242363606580377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2572442296","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0027928278,0.00019413418,0.9890577,0.000023880584,0.00004665858,0.00032741964,0.00009765887,0.00010160574,0.0073580984],"genre_scores_gemma":[0.6267929,0.00013025574,0.37285906,0.000017026889,0.000019911646,0.000009178335,0.000023572407,0.000054107026,0.000093980416],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982871,0.000010239646,0.0006217312,0.00039098918,0.00037662423,0.0003133223],"domain_scores_gemma":[0.99842894,0.00072776614,0.00010076166,0.0004345531,0.00020162658,0.00010635534],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00087654527,0.0003290017,0.00068901235,0.00015281641,0.00007323404,0.00012519924,0.0005213807,0.00013169767,0.000022598826],"category_scores_gemma":[0.000162641,0.00027611697,0.000099047415,0.00017188776,0.0014358923,0.00024541165,0.0002313781,0.00020920327,9.577777e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010168282,0.000012832759,0.0000025505606,0.00023461702,0.00001150131,9.773266e-7,0.0000592586,0.059337065,0.00004666317,0.9351025,0.00000217128,0.005179667],"study_design_scores_gemma":[0.00007361409,0.000062808824,0.0000027882043,0.00024726943,0.000013737101,9.648646e-7,0.0000026100754,0.736488,0.0004798336,0.2623482,0.000038518338,0.0002416373],"about_ca_topic_score_codex":0.000002122539,"about_ca_topic_score_gemma":0.0000060667144,"teacher_disagreement_score":0.67715096,"about_ca_system_score_codex":0.000054804554,"about_ca_system_score_gemma":0.000033593933,"threshold_uncertainty_score":0.9999691},"labels":[],"label_agreement":null},{"id":"W2572624955","doi":"10.48550/arxiv.1008.1664","title":"L-systems in Geometric Modeling","year":2010,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Bézier curve; Affine transformation; Context (archaeology); Geometric design; Geometric modeling; Parametric equation; Mathematics; Parametric statistics; Interpretation (philosophy); Parametric model; Algorithm; Computer science; Subdivision; Computational geometry; Geometry; Engineering","score_opus":0.008812879985856416,"score_gpt":0.22999275663061952,"score_spread":0.2211798766447631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2572624955","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26928037,0.00010270062,0.7203068,0.0000081219805,0.000082557686,0.000043477616,2.4430793e-7,0.0005849758,0.009590721],"genre_scores_gemma":[0.98392874,0.000021754839,0.015913041,0.0000076210226,0.000027083785,0.000014229501,7.5587394e-7,0.00001225799,0.00007450568],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996019,0.0000024196315,0.00013292166,0.00007476354,0.000065862994,0.00012212711],"domain_scores_gemma":[0.99980986,0.000016265627,0.0000050225176,0.00012607547,0.000011907342,0.00003089141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006289702,0.000057563855,0.00010095508,0.00027305027,0.0000068882455,0.000010603519,0.0000785965,0.000043962787,0.000043095653],"category_scores_gemma":[0.000022787086,0.000050399645,0.000021263213,0.00070146023,0.000004367419,0.000081873586,0.000011426816,0.00017858126,0.000030293842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.6252183e-7,0.000008726972,0.0006398677,0.000008661541,0.000004750912,0.0000020980603,0.00000944721,0.96733856,0.019333564,0.000924972,0.000102701466,0.011626259],"study_design_scores_gemma":[0.000028746592,0.000002244755,0.000052898908,0.0000017903604,0.0000012099975,9.998103e-7,0.000006235705,0.99611056,0.0018420842,0.00071437506,0.001165067,0.00007381713],"about_ca_topic_score_codex":0.00010299773,"about_ca_topic_score_gemma":0.0000462577,"teacher_disagreement_score":0.71464837,"about_ca_system_score_codex":0.000016450287,"about_ca_system_score_gemma":0.0000012238555,"threshold_uncertainty_score":0.20552379},"labels":[],"label_agreement":null},{"id":"W2589456637","doi":"10.71781/11082","title":"Généralisation d'algorithmes de réduction de dimension","year":2003,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Dimension (graph theory); Humanities; Combinatorics; Philosophy","score_opus":0.020422929913462676,"score_gpt":0.3138327136256976,"score_spread":0.2934097837122349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2589456637","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6086011,0.0012842533,0.36357668,0.00040737545,0.0010194884,0.0011511844,0.000036696583,0.000055293833,0.02386793],"genre_scores_gemma":[0.086396605,0.0007479476,0.8853166,0.000057557518,0.00023096474,0.00014333698,0.0013097674,0.00014070536,0.02565653],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981845,0.00015734785,0.0004895281,0.0004887752,0.00022225069,0.00045757493],"domain_scores_gemma":[0.99905545,0.000064408785,0.00022441318,0.00033081326,0.00016590116,0.00015899171],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039593058,0.0003832691,0.00046953344,0.0001770152,0.00017741468,0.00018237854,0.00034159565,0.0004867645,0.0021540998],"category_scores_gemma":[0.00016394482,0.00045515256,0.00015308906,0.00046252672,0.000038240672,0.0005592773,0.000043462074,0.00044685527,0.00038129443],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052533855,0.0001760705,0.0007337445,0.00012702901,0.00023688683,0.000031957137,0.004257223,0.048121992,0.18026708,0.00036964857,0.001063903,0.76456195],"study_design_scores_gemma":[0.00038675618,0.00013857536,0.0016136736,0.00050464616,0.0006176286,0.000052355237,0.002654835,0.068154946,0.8582774,0.0050306246,0.061457265,0.001111329],"about_ca_topic_score_codex":0.0006115566,"about_ca_topic_score_gemma":0.00021328757,"teacher_disagreement_score":0.7634506,"about_ca_system_score_codex":0.0009966634,"about_ca_system_score_gemma":0.00012421215,"threshold_uncertainty_score":0.99979},"labels":[],"label_agreement":null},{"id":"W2593184607","doi":"10.4134/bkms.b160006","title":"RULED MINIMAL SURFACES IN PRODUCT SPACES","year":2016,"lang":"en","type":"article","venue":"Bulletin of the Korean Mathematical Society","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mathematics; Geodesic; Product (mathematics); Surface (topology); TRACE (psycholinguistics); Manifold (fluid mechanics); Minimal surface; Parametrization (atmospheric modeling); Homogeneous; Pure mathematics; Constant (computer programming); Characterization (materials science); Space (punctuation); Combinatorics; Mathematical analysis; Geometry; Physics; Computer science","score_opus":0.007712814818762152,"score_gpt":0.21668028301211084,"score_spread":0.2089674681933487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593184607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9474415,0.00039572222,0.02459617,0.016524944,0.0000767302,0.0006728637,0.0000223998,0.000690061,0.0095796],"genre_scores_gemma":[0.9410263,0.00007135845,0.057817485,0.00004514526,0.000031639283,0.000022532884,3.684584e-7,0.00002928111,0.0009558978],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99902266,0.000034746892,0.00032759103,0.00016245591,0.00022257544,0.00022997367],"domain_scores_gemma":[0.99925554,0.00026839215,0.00006212723,0.00034722593,0.000025850952,0.000040857158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002936795,0.00014801191,0.00030896493,0.000012996898,0.000027895674,0.0000083836285,0.00032546237,0.00005799907,0.00041995672],"category_scores_gemma":[0.00024048815,0.00007380655,0.00024770937,0.00016726817,0.00021699935,0.000021335849,0.000102898695,0.00010791856,0.000064022155],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113807604,0.0019220307,0.014688239,0.0037433722,0.0011740898,0.000010820212,0.0052810223,0.004283647,0.38468608,0.04276482,0.4943175,0.04701459],"study_design_scores_gemma":[0.0018722941,0.00014098518,0.008990166,0.0019464996,0.00021338844,0.000018264767,0.0007219995,0.014004519,0.6404266,0.2332882,0.0967818,0.0015952915],"about_ca_topic_score_codex":0.000006020932,"about_ca_topic_score_gemma":0.0000011162003,"teacher_disagreement_score":0.39753568,"about_ca_system_score_codex":0.00005457619,"about_ca_system_score_gemma":0.0000047894036,"threshold_uncertainty_score":0.45982313},"labels":[],"label_agreement":null},{"id":"W2593272042","doi":"","title":"LARGE DEVIATIONS FOR ERGODIC PROCESSES IN SPLIT SPACES","year":2009,"lang":"en","type":"article","venue":"Dynamic Systems and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mathematics; Ergodic theory; Statistical physics; Pure mathematics; Physics","score_opus":0.005087155531820074,"score_gpt":0.25670354030458004,"score_spread":0.25161638477275994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593272042","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010501406,0.0029095646,0.9850412,0.000121652476,0.000008559681,0.0006418847,0.000046830377,0.00028155046,0.00044736196],"genre_scores_gemma":[0.9963391,0.00046389317,0.0017988409,0.000017104669,0.000025859015,0.0011959684,0.000044227534,0.000009890083,0.000105109546],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99952346,0.0000036707215,0.00017109387,0.00012930785,0.000042558946,0.00012988258],"domain_scores_gemma":[0.9997431,0.000043360316,0.000027477427,0.00012040083,0.00003360252,0.00003203359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005082051,0.00007811406,0.00013463007,0.00007769499,0.00005908849,0.000028207422,0.00006203329,0.000038474678,0.0000010008728],"category_scores_gemma":[0.000011259892,0.000074356845,0.0000183094,0.00035150483,0.000009692217,0.00006951844,0.0000047644194,0.000040740433,0.000002791749],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011624228,0.0006043269,0.0045621917,0.0027229215,0.00013435217,0.0000018153431,0.0012185466,0.06557983,0.010988819,0.8484133,0.0021024416,0.06365981],"study_design_scores_gemma":[0.00044067213,0.000052540472,0.0055781705,0.00015203861,0.000053393924,0.000008064428,0.00063449197,0.6802593,0.00016331875,0.03325435,0.2788798,0.00052385195],"about_ca_topic_score_codex":0.000006153774,"about_ca_topic_score_gemma":0.000053493877,"teacher_disagreement_score":0.9858377,"about_ca_system_score_codex":0.000036536516,"about_ca_system_score_gemma":0.0000064934056,"threshold_uncertainty_score":0.30321842},"labels":[],"label_agreement":null},{"id":"W2600280176","doi":"10.1007/s00170-017-0168-6","title":"Efficient milling part geometry computation via three-step update of frame-sliced voxel representation workpiece model","year":2017,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Voxel; Computation; Boundary representation; Robustness (evolution); Representation (politics); Computer science; Solid modeling; Algorithm; Rapid prototyping; Process (computing); Geometric modeling; Frame (networking); Geometry; Intersection (aeronautics); Boundary (topology); Computer vision; Artificial intelligence; Mathematics; Engineering; Mechanical engineering; Mathematical analysis","score_opus":0.012751761612904948,"score_gpt":0.28265393017269774,"score_spread":0.2699021685597928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2600280176","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48091274,0.00012603843,0.51779526,0.0006875245,0.00026162533,0.00006954518,0.0000028829152,0.0000983822,0.000045954366],"genre_scores_gemma":[0.9109911,0.00025402973,0.08859006,0.000034464712,0.00008192038,0.000007510385,0.0000035274238,0.000027533339,0.000009886105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984201,0.000012567299,0.00070448424,0.0001758425,0.00048019327,0.00020681795],"domain_scores_gemma":[0.9980966,0.00010525197,0.00097331166,0.00046272555,0.00032078385,0.000041328985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023983794,0.00018625248,0.0003560646,0.00050026795,0.00013297317,0.000043593165,0.0013905918,0.000121068326,0.000009121915],"category_scores_gemma":[0.00019016652,0.00014969161,0.00015428546,0.00012313788,0.00019226436,0.00022452434,0.00023882581,0.00050081965,0.000004324565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005784625,0.00002802889,0.00010136241,0.000008150048,0.00016861105,0.000008499804,0.00002095679,0.86512315,0.042401303,0.00024421886,0.00003264383,0.09180525],"study_design_scores_gemma":[0.00034959326,0.000038638216,0.00030038037,0.000098876255,0.00003767073,0.000037904792,0.00004132213,0.5167916,0.4494194,0.03259827,0.00016151572,0.00012485628],"about_ca_topic_score_codex":0.000009488953,"about_ca_topic_score_gemma":0.000011126267,"teacher_disagreement_score":0.4300783,"about_ca_system_score_codex":0.00015735054,"about_ca_system_score_gemma":0.000013132158,"threshold_uncertainty_score":0.61042464},"labels":[],"label_agreement":null},{"id":"W2602161925","doi":"10.11575/prism/30277","title":"Component-wise Interpolation of Solenoidal Vector Fields: A Comparative Numerical Study","year":2015,"lang":"en","type":"article","venue":"PRISM (University of Calgary)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Mitacs","keywords":"Solenoidal vector field; Interpolation (computer graphics); Component (thermodynamics); Mathematics; Vector field; Mathematical analysis; Applied mathematics; Computer science; Geometry; Artificial intelligence; Physics","score_opus":0.021373586290284817,"score_gpt":0.23875497223562417,"score_spread":0.21738138594533934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2602161925","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31697926,0.000051311268,0.681231,0.000023828497,0.000023963185,0.00012651403,3.4768874e-7,0.0001044099,0.001459345],"genre_scores_gemma":[0.9567657,0.0000042744377,0.043157768,0.0000037910431,0.0000046430423,4.347538e-7,0.0000050666185,0.0000063451334,0.000051941493],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994028,0.0000467239,0.00014411753,0.00011950374,0.00018425456,0.00010255958],"domain_scores_gemma":[0.9995658,0.00004045173,0.00007686089,0.00015829291,0.000072324634,0.000086282125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006380885,0.00009717853,0.0003273043,0.00010713797,0.00002342233,0.0000024973504,0.00018220606,0.000050162078,0.00003856645],"category_scores_gemma":[0.000010752644,0.00011244749,0.00007599882,0.00018163772,0.00006608057,0.00015092207,0.00007938829,0.00013410328,0.000009197396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00443186,0.012213772,0.13035306,0.00081567356,0.005880848,0.00042557815,0.29293007,0.020119289,0.09528457,0.004823831,0.04033266,0.3923888],"study_design_scores_gemma":[0.0009781342,0.0005561103,0.012705836,0.000026980939,0.000114707655,0.0000011687508,0.0016338598,0.9798295,0.002226533,0.00058336474,0.0011003823,0.00024344357],"about_ca_topic_score_codex":0.00033134784,"about_ca_topic_score_gemma":0.000008893637,"teacher_disagreement_score":0.9597102,"about_ca_system_score_codex":0.000051683546,"about_ca_system_score_gemma":0.000010935466,"threshold_uncertainty_score":0.45854753},"labels":[],"label_agreement":null},{"id":"W2605856356","doi":"10.1016/j.cad.2017.03.006","title":"Frame-sliced voxel representation: An accurate and memory-efficient modeling method for workpiece geometry in machining simulation","year":2017,"lang":"en","type":"article","venue":"Computer-Aided Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Voxel; Representation (politics); Grid; Machining; Boundary representation; Computer science; Boundary (topology); Surface (topology); Frame (networking); Geometry; Artificial intelligence; Resolution (logic); Computer vision; Algorithm; Mathematics; Mechanical engineering; Mathematical analysis; Engineering","score_opus":0.08879143474362385,"score_gpt":0.3876568493155016,"score_spread":0.29886541457187776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605856356","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0567359,0.000098470446,0.9421776,0.000033674358,0.00010233988,0.00045111644,0.0000019559213,0.00037086144,0.000028089118],"genre_scores_gemma":[0.5171337,0.0000069170583,0.48269853,0.000025637568,0.00006810358,0.000033997243,0.000005438136,0.000024224393,0.0000034376649],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986298,0.00011001549,0.00040377353,0.00043395613,0.0001484747,0.00027394437],"domain_scores_gemma":[0.9984952,0.00061624026,0.00013270156,0.00057860883,0.00007975534,0.00009747564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006243558,0.0002113744,0.0003629892,0.00023971443,0.00023744497,0.00022069913,0.00030152316,0.00010744278,0.0000032187456],"category_scores_gemma":[0.00020402085,0.00022255097,0.00006358983,0.00020955571,0.000024587778,0.00046481623,0.00009492214,0.00020078418,0.0000015037158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023763787,0.000018717334,0.000049010065,0.000018505249,0.000018869698,0.000002776591,0.00018894662,0.8332913,0.00095645455,0.000047212994,0.0000069529224,0.16537751],"study_design_scores_gemma":[0.0004198802,0.000055269775,0.0003599352,0.00005314163,0.000023067867,0.0000017822155,0.000028393695,0.99322766,0.0022883252,0.0032807204,0.000010837393,0.0002509659],"about_ca_topic_score_codex":0.000031299176,"about_ca_topic_score_gemma":0.0000030497913,"teacher_disagreement_score":0.4603978,"about_ca_system_score_codex":0.00006770703,"about_ca_system_score_gemma":0.000008095861,"threshold_uncertainty_score":0.9075365},"labels":[],"label_agreement":null},{"id":"W2607520041","doi":"10.1090/amsip/040/03","title":"The geometric analysis of step 2(𝑘+1) case","year":2008,"lang":"en","type":"book-chapter","venue":"AMS/IP studies in advanced mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Mathematics","score_opus":0.04068456655942035,"score_gpt":0.3137233823780221,"score_spread":0.2730388158186018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607520041","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0035527588,0.24696678,0.40750742,0.0000858915,0.0009876912,0.0030467482,0.0003825326,0.0022319078,0.33523828],"genre_scores_gemma":[0.054072436,0.53399926,0.3145809,0.00006275332,0.00015575768,0.00042157221,0.000056027493,0.00061054097,0.09604076],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99736786,0.0000140340235,0.001374323,0.0003646561,0.0004748911,0.00040421795],"domain_scores_gemma":[0.99630517,0.0018038305,0.0005236561,0.0010529541,0.00025269337,0.00006170896],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002423683,0.0006024944,0.001993853,0.0012753882,0.00014700051,0.000008384015,0.00041674628,0.00020585515,0.000020030993],"category_scores_gemma":[0.0004416186,0.00045309972,0.00055728195,0.0015841174,0.0005247713,0.00008718766,0.0002459044,0.0005307319,0.000011857489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059483522,0.00043258147,0.00007349757,0.0053358227,0.06637559,0.0061615272,0.007398286,0.42278638,0.00012624588,0.0730799,0.00916954,0.4090011],"study_design_scores_gemma":[0.0029232427,0.0010244041,0.0000723574,0.005213965,0.037121292,0.0017998756,0.013822154,0.29501775,0.0028109245,0.23719454,0.39224792,0.010751577],"about_ca_topic_score_codex":0.0000039211736,"about_ca_topic_score_gemma":0.00017001365,"teacher_disagreement_score":0.39824954,"about_ca_system_score_codex":0.0003677606,"about_ca_system_score_gemma":0.000010936366,"threshold_uncertainty_score":0.9997921},"labels":[],"label_agreement":null},{"id":"W2607568604","doi":"10.1090/crmp/029/25","title":"Induced surfaces and their integrable deformations","year":2001,"lang":"en","type":"book-chapter","venue":"CRM proceedings & lecture notes","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Integrable system; Materials science; Geometry; Pure mathematics; Mathematics","score_opus":0.012549459843252933,"score_gpt":0.21278260508148952,"score_spread":0.2002331452382366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607568604","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0049858317,0.003358803,0.05319702,0.000252858,0.00008201016,0.00036407931,0.00002148248,0.0020015007,0.9357364],"genre_scores_gemma":[0.996796,0.0014076885,0.00079252745,0.00010782488,0.00016640018,0.000029575014,0.00003235059,0.00014134168,0.0005262942],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99891806,0.000001215244,0.00032302248,0.00031600407,0.00014608947,0.00029560245],"domain_scores_gemma":[0.9994014,0.000075121636,0.00011857324,0.00012825003,0.00017057036,0.0001061035],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006818747,0.00054083555,0.00054747786,0.00025649555,0.00012138731,0.0001084188,0.00020379925,0.00050102855,0.000107523156],"category_scores_gemma":[0.000081630096,0.0004164836,0.00012714963,0.0001394392,0.00006759935,0.0002748262,0.000060767994,0.0008350992,0.000020500245],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000453446,0.000053841835,0.00042368844,0.0016794804,0.0015871645,0.000012451796,0.0054832646,0.0040137274,0.081790306,0.3657762,0.0011951929,0.5379393],"study_design_scores_gemma":[0.00009197185,0.000080551494,0.000015777498,0.00035861335,0.00012140283,0.00004161964,0.000046913843,0.0043167137,0.043647606,0.8497947,0.10059981,0.00088434113],"about_ca_topic_score_codex":0.000008880897,"about_ca_topic_score_gemma":0.000013450916,"teacher_disagreement_score":0.99181014,"about_ca_system_score_codex":0.00010681792,"about_ca_system_score_gemma":0.000011539858,"threshold_uncertainty_score":0.9998287},"labels":[],"label_agreement":null},{"id":"W2607578765","doi":"10.1090/crmp/030/11","title":"Arithmetic semistable elliptic surfaces","year":2001,"lang":"en","type":"book-chapter","venue":"CRM proceedings & lecture notes","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Concordia University","funders":"","keywords":"Arithmetic; Mathematics; Elliptic curve; Pure mathematics; Algebra over a field","score_opus":0.008894635927713666,"score_gpt":0.20904258121913652,"score_spread":0.20014794529142285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607578765","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003451601,0.008488864,0.05060416,0.00015083014,0.000121370096,0.00034124433,0.000016462885,0.0026820123,0.9372499],"genre_scores_gemma":[0.96825415,0.0063851727,0.0058372067,0.00030991057,0.0011382687,0.00008305438,0.000098128876,0.0007982241,0.017095864],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979201,0.0000016108595,0.00047729496,0.000624751,0.00041228748,0.0005639436],"domain_scores_gemma":[0.99907094,0.00010566061,0.00016728837,0.00024284142,0.00024015614,0.00017313036],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009521681,0.00081818673,0.0008850662,0.00027694786,0.000112903406,0.00014171487,0.00041003982,0.000716537,0.0005379817],"category_scores_gemma":[0.000111085326,0.00076635834,0.00027516703,0.00021198609,0.00011257066,0.00018141155,0.00007106311,0.0010814512,0.00014851314],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012879795,0.00018092852,0.0006224272,0.0070657493,0.0037100362,0.00027229488,0.0015439638,0.06847592,0.12111267,0.5508287,0.008286577,0.23777196],"study_design_scores_gemma":[0.00010107181,0.000072816176,0.0000055209584,0.00042689362,0.0003629843,0.000043809385,0.000005156479,0.0053445944,0.03014099,0.5903833,0.371879,0.0012338219],"about_ca_topic_score_codex":0.000006456329,"about_ca_topic_score_gemma":0.0000045046872,"teacher_disagreement_score":0.96790904,"about_ca_system_score_codex":0.00024335441,"about_ca_system_score_gemma":0.0000192369,"threshold_uncertainty_score":0.99947876},"labels":[],"label_agreement":null},{"id":"W2607775600","doi":"10.1090/crmp/029/24","title":"Three dimensional skyrmions and harmonic maps","year":2001,"lang":"en","type":"book-chapter","venue":"CRM proceedings & lecture notes","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Skyrmion; Harmonic map; Harmonic; Physics; Geometry; Mathematics; Acoustics; Condensed matter physics","score_opus":0.012105108847285207,"score_gpt":0.2177505525208691,"score_spread":0.2056454436735839,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607775600","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0016167278,0.022219863,0.12728167,0.0013718142,0.00029185414,0.00093652954,0.00008484566,0.0047244616,0.84147227],"genre_scores_gemma":[0.98393476,0.0031841514,0.008135879,0.00068182516,0.0013404293,0.00010686438,0.00016211637,0.00065236737,0.0018016046],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99843746,7.7986834e-7,0.0003392115,0.0005378161,0.00030282763,0.00038187974],"domain_scores_gemma":[0.99931777,0.00008843014,0.00011065298,0.00016178656,0.00015547202,0.00016587308],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000059038997,0.00062541396,0.00062239147,0.0002558527,0.00012912878,0.00007047534,0.00021044862,0.00055877556,0.00021293138],"category_scores_gemma":[0.00006917367,0.0005636231,0.00018789865,0.00011497618,0.00013062639,0.00013922679,0.00011091588,0.0009408644,0.00004652528],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077886696,0.00006373863,0.00064857875,0.0010455111,0.0015491617,0.00010859005,0.00031673853,0.0015805798,0.021090565,0.73763955,0.008904257,0.22697484],"study_design_scores_gemma":[0.00010189099,0.000057876194,0.00003840863,0.00023770449,0.00022501273,0.00006660101,9.350592e-7,0.0014174791,0.0035512357,0.8910266,0.10256151,0.000714713],"about_ca_topic_score_codex":0.0000053551876,"about_ca_topic_score_gemma":0.00001670045,"teacher_disagreement_score":0.98231804,"about_ca_system_score_codex":0.00012049694,"about_ca_system_score_gemma":0.000014549561,"threshold_uncertainty_score":0.99968153},"labels":[],"label_agreement":null},{"id":"W2607927116","doi":"10.1090/crmm/013/02","title":"Fourier analysis of deformed model sets","year":2000,"lang":"en","type":"book-chapter","venue":"CRM monograph series","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Fourier transform; Fourier analysis; Mathematics; Mathematical analysis","score_opus":0.011347710950210548,"score_gpt":0.22243938859680118,"score_spread":0.21109167764659062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607927116","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017049812,0.0027782908,0.052607153,0.000023022105,0.00005878412,0.00031317535,0.00042918348,0.0014863396,0.9405991],"genre_scores_gemma":[0.43737647,0.0687981,0.26177874,0.0003306345,0.00025696369,0.00043989383,0.0033130397,0.0015143608,0.2261918],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99842566,0.000005280276,0.00063588715,0.00033946117,0.00029982664,0.00029389793],"domain_scores_gemma":[0.9988993,0.000027804295,0.00015960404,0.0007169184,0.00008326582,0.00011310499],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000051803738,0.00051836256,0.0012045709,0.001480299,0.000052193052,0.000020836953,0.0003003921,0.00039550118,0.00053479953],"category_scores_gemma":[0.0000042610136,0.00049912074,0.0010651974,0.0005600926,0.00025556664,0.00024035654,0.000045319368,0.00032539963,0.0000101171045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014460341,0.000050656363,0.00021619015,0.0003706367,0.022260295,0.000031471638,0.00066028844,0.8042985,0.00038701514,0.06433327,0.0022709602,0.104976095],"study_design_scores_gemma":[0.00021796477,0.00015334826,0.00012883548,0.00021859443,0.012574607,0.0000053742096,0.000033360328,0.3722878,0.0034907628,0.5087427,0.09979911,0.0023475424],"about_ca_topic_score_codex":0.000006616399,"about_ca_topic_score_gemma":0.00004194233,"teacher_disagreement_score":0.71440727,"about_ca_system_score_codex":0.000045773573,"about_ca_system_score_gemma":0.000013656427,"threshold_uncertainty_score":0.999746},"labels":[],"label_agreement":null},{"id":"W2608532583","doi":"10.1090/amsip/050/08","title":"Representations and the colored Jones polynomial of a torus knot","year":2011,"lang":"en","type":"book-chapter","venue":"AMS/IP studies in advanced mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Colored; Jones polynomial; Torus; Knot (papermaking); Knot polynomial; Alexander polynomial; Mathematics; HOMFLY polynomial; Combinatorics; Art; Knot theory; Knot invariant; Polynomial; Geometry; Matrix polynomial; Mathematical analysis; Materials science; Square-free polynomial","score_opus":0.04373408516132847,"score_gpt":0.3068505625130295,"score_spread":0.263116477351701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608532583","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003254889,0.08191709,0.0847515,0.0003867076,0.001122084,0.004985588,0.00019553462,0.0015342482,0.8218523],"genre_scores_gemma":[0.16736542,0.20278382,0.4938941,0.00018108694,0.00041594444,0.001473238,0.000039574374,0.0007361709,0.13311064],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9985376,0.000014492139,0.00079944334,0.000247517,0.0001952403,0.00020571277],"domain_scores_gemma":[0.99822193,0.00079895795,0.00031533308,0.0005186701,0.00011118962,0.00003389521],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015469607,0.0003696918,0.0011347233,0.00015153566,0.00006146533,0.000005693298,0.00023586476,0.00013303958,0.000021057236],"category_scores_gemma":[0.00029261867,0.00027056385,0.00015365201,0.00009570906,0.0009137191,0.0000846725,0.00023503223,0.0003043471,0.000005525449],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003650268,0.00022257744,0.000034468343,0.004634877,0.004487635,0.00006566818,0.031735886,0.0063318694,0.0009819247,0.8958865,0.0046187616,0.050634842],"study_design_scores_gemma":[0.0018929598,0.00014064982,0.000020372994,0.0015393725,0.00072707393,0.000022447999,0.0028009966,0.0027866608,0.002255194,0.9740942,0.012721463,0.0009985877],"about_ca_topic_score_codex":0.0000069644234,"about_ca_topic_score_gemma":0.00005401137,"teacher_disagreement_score":0.6887417,"about_ca_system_score_codex":0.00009214307,"about_ca_system_score_gemma":0.000008383748,"threshold_uncertainty_score":0.99997467},"labels":[],"label_agreement":null},{"id":"W2608669499","doi":"10.1090/amsip/025/20","title":"Homogeneous and nonhomogeneous refinable distributions in 𝐹^{𝑞,𝛾}","year":2002,"lang":"en","type":"book-chapter","venue":"AMS/IP studies in advanced mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Homogeneous; Mathematics; Statistical physics; Physics","score_opus":0.03407787082637086,"score_gpt":0.2810577240660241,"score_spread":0.2469798532396532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608669499","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004975257,0.21622679,0.12929708,0.00026000733,0.0008806782,0.0039139125,0.00067853974,0.003514743,0.640253],"genre_scores_gemma":[0.043132294,0.34434828,0.40726823,0.00010275497,0.0002250978,0.00090346,0.00012965813,0.00080837705,0.20308186],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978365,0.000009439393,0.0009147865,0.00047963354,0.00025184485,0.0005078499],"domain_scores_gemma":[0.9987195,0.00032565955,0.00018001407,0.0006075495,0.000088552566,0.000078706864],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011938429,0.000650797,0.0013248803,0.0003260207,0.000079098456,0.000014286947,0.00024379132,0.00027779007,0.000040511757],"category_scores_gemma":[0.00018749027,0.0006583913,0.00013033213,0.00021567538,0.00030287795,0.00010523176,0.0002532671,0.0006087636,0.000036282876],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007579836,0.0013217182,0.00014423911,0.017419131,0.003734652,0.0066189957,0.009565538,0.16946737,0.0016307639,0.46508437,0.006759983,0.31817743],"study_design_scores_gemma":[0.001086467,0.00025976947,0.000011440605,0.0043193675,0.00040290566,0.00030332484,0.00065345626,0.021441063,0.0013735638,0.8607649,0.10622615,0.0031575775],"about_ca_topic_score_codex":0.0000025322097,"about_ca_topic_score_gemma":0.00009543601,"teacher_disagreement_score":0.43717113,"about_ca_system_score_codex":0.00062890013,"about_ca_system_score_gemma":0.000007644547,"threshold_uncertainty_score":0.99958676},"labels":[],"label_agreement":null},{"id":"W2608691767","doi":"10.1090/amsip/025/24","title":"A wavelet-based characterization of curves","year":2002,"lang":"en","type":"book-chapter","venue":"AMS/IP studies in advanced mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Characterization (materials science); Wavelet; Computer science; Artificial intelligence; Materials science; Nanotechnology","score_opus":0.041051452058661175,"score_gpt":0.2868304376512466,"score_spread":0.24577898559258543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608691767","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014317627,0.047003105,0.5990071,0.00033756538,0.0009997601,0.004436515,0.0005015063,0.0036982484,0.3425844],"genre_scores_gemma":[0.01657725,0.3040559,0.553566,0.0005318638,0.00025581627,0.0007210054,0.00041026896,0.0010772177,0.122804694],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99807256,0.000008602771,0.00101095,0.00029622982,0.00034397864,0.0002676587],"domain_scores_gemma":[0.99854976,0.00024424287,0.0004268442,0.00056653353,0.00017091121,0.000041733852],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010515705,0.0005234412,0.0013651001,0.00028027466,0.000028591941,0.0000037695766,0.00024809362,0.00018147803,0.00008409879],"category_scores_gemma":[0.0001585683,0.00050607155,0.00019454357,0.00016843512,0.00021762642,0.00011136006,0.00008721129,0.00034796185,0.000022042097],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000112824884,0.0018954762,0.000042919648,0.20064506,0.007449712,0.00049436005,0.008059203,0.02609998,0.070814565,0.22338137,0.006900094,0.45410445],"study_design_scores_gemma":[0.0038491648,0.0011309924,0.00007785971,0.12317796,0.002622134,0.000044798344,0.0006600549,0.19317044,0.07677349,0.45964423,0.12835917,0.010489715],"about_ca_topic_score_codex":2.4293058e-7,"about_ca_topic_score_gemma":0.0000027253548,"teacher_disagreement_score":0.44361472,"about_ca_system_score_codex":0.00022201583,"about_ca_system_score_gemma":0.0000075871176,"threshold_uncertainty_score":0.9997391},"labels":[],"label_agreement":null},{"id":"W2608812122","doi":"10.1090/amsip/025/11","title":"Constructing orthogonal refinable function vectors with prescribed approximation order and smoothness","year":2002,"lang":"en","type":"book-chapter","venue":"AMS/IP studies in advanced mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Smoothness; Mathematics; Order (exchange); Function (biology); Applied mathematics; Pure mathematics; Mathematical analysis; Biology","score_opus":0.02910021694108291,"score_gpt":0.25482397563301856,"score_spread":0.22572375869193564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608812122","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005357418,0.015885789,0.6713714,0.0000667862,0.00053438015,0.0023492028,0.00005696373,0.0024664244,0.30191165],"genre_scores_gemma":[0.040744863,0.014839848,0.88808626,0.00007086307,0.00023421978,0.0006798513,0.00011844349,0.0007141899,0.054511458],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99823296,0.000010183217,0.00066946837,0.00042930024,0.00032325278,0.00033485997],"domain_scores_gemma":[0.99879575,0.0002550139,0.00030970204,0.0003734833,0.00021361288,0.000052453546],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011842544,0.000576413,0.0009968063,0.00024234806,0.00009763984,0.000020467149,0.00011842166,0.00020193364,0.000031637795],"category_scores_gemma":[0.00013372522,0.0005016481,0.00006260339,0.00021247129,0.0003251682,0.0002616033,0.000111146444,0.00049925386,0.0000065124013],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020526984,0.00028266717,0.00044622045,0.01907715,0.0040987968,0.00018426489,0.006463896,0.06672273,0.00047649976,0.6395087,0.0007699167,0.26176387],"study_design_scores_gemma":[0.0041668485,0.0011591581,0.000068954,0.0153716495,0.0024915938,0.00030538393,0.009888196,0.12972634,0.0020541837,0.792036,0.035453975,0.0072777392],"about_ca_topic_score_codex":9.3347967e-7,"about_ca_topic_score_gemma":0.000031904485,"teacher_disagreement_score":0.2544861,"about_ca_system_score_codex":0.0003184605,"about_ca_system_score_gemma":0.0000088461575,"threshold_uncertainty_score":0.9997435},"labels":[],"label_agreement":null},{"id":"W2609031824","doi":"10.1090/amsip/038/01","title":"Mahler’s measure and 𝐿-series of 𝐾3 hypersurfaces","year":2006,"lang":"en","type":"book-chapter","venue":"AMS/IP studies in advanced mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Queen's University","funders":"","keywords":"Series (stratigraphy); Measure (data warehouse); Mathematics; Pure mathematics; Calculus (dental); Computer science; Geology; Data mining; Medicine; Paleontology; Orthodontics","score_opus":0.03475062892242927,"score_gpt":0.27707133689307506,"score_spread":0.24232070797064578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2609031824","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041362257,0.22270796,0.055265542,0.00026535415,0.0007849283,0.00253391,0.00027478457,0.0025026975,0.7115286],"genre_scores_gemma":[0.02996897,0.11983632,0.6755297,0.000049308885,0.00017095146,0.00023189948,0.000041057025,0.0006615213,0.17351022],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981995,0.000007664871,0.0008482094,0.00032507855,0.0003329396,0.00028657066],"domain_scores_gemma":[0.99879,0.00027985137,0.00028491105,0.0004555833,0.00014667913,0.00004296828],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012766338,0.00057360966,0.0014654597,0.00020643033,0.00004369308,0.000007530498,0.00020636768,0.00022040521,0.000012926309],"category_scores_gemma":[0.00013334192,0.00052730675,0.00013790104,0.00010932039,0.0003580948,0.00016356165,0.00016927155,0.0003636558,0.0000059609324],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026164047,0.0008286699,0.00036451608,0.06615187,0.01152772,0.00059554575,0.017730912,0.21021245,0.017663708,0.40972918,0.02706361,0.23787016],"study_design_scores_gemma":[0.0010949189,0.00038258315,0.000023004503,0.008055693,0.0008951604,0.000056182842,0.0027136295,0.002736753,0.010278865,0.9081813,0.062408786,0.0031731164],"about_ca_topic_score_codex":0.0000027171507,"about_ca_topic_score_gemma":0.00007038094,"teacher_disagreement_score":0.62026423,"about_ca_system_score_codex":0.00024116458,"about_ca_system_score_gemma":0.000007964748,"threshold_uncertainty_score":0.99971783},"labels":[],"label_agreement":null},{"id":"W2609264049","doi":"10.1090/amsip/025/05","title":"On the Cohen-type conditions for the stabiltiy of shifts of a refinable function","year":2002,"lang":"en","type":"book-chapter","venue":"AMS/IP studies in advanced mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Type (biology); Mathematics; Pure mathematics; Biology","score_opus":0.06861917830822321,"score_gpt":0.31278413558205703,"score_spread":0.2441649572738338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2609264049","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024596383,0.04223694,0.53507274,0.0009699039,0.0019884065,0.011345475,0.0009374169,0.0014591104,0.40353036],"genre_scores_gemma":[0.5686359,0.093281955,0.17017886,0.0005685752,0.00036892408,0.0035464247,0.0001389736,0.0011853586,0.16209504],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99859434,0.000009724783,0.0007305648,0.00019587325,0.00026180362,0.0002076615],"domain_scores_gemma":[0.9957708,0.0028860364,0.00039610337,0.00066826225,0.00026106412,0.00001771707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000203699,0.0003367144,0.00081576704,0.00012272633,0.00009212273,0.0000036941476,0.00027290906,0.00012049258,0.00006804645],"category_scores_gemma":[0.0005104245,0.0002084877,0.00019549485,0.00016485059,0.00036887344,0.000055911874,0.00008354341,0.00031394375,0.0000072897574],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041929907,0.000107696964,9.819955e-7,0.001804255,0.0010576191,0.0000014137959,0.0009236771,0.037266847,0.00039752727,0.95197374,0.0039806515,0.0024436878],"study_design_scores_gemma":[0.00027868254,0.00037822168,0.0000035930661,0.0014019685,0.00045559753,0.0000010112809,0.00096798316,0.0069415546,0.001374844,0.97212946,0.015707435,0.00035962052],"about_ca_topic_score_codex":0.0000010257328,"about_ca_topic_score_gemma":0.000012043437,"teacher_disagreement_score":0.56617624,"about_ca_system_score_codex":0.00014427834,"about_ca_system_score_gemma":0.000009008506,"threshold_uncertainty_score":0.8501882},"labels":[],"label_agreement":null},{"id":"W2609774477","doi":"10.1090/crmp/024/20","title":"Thompson series, and the mirror maps of pencils of 𝐾3 surfaces","year":2000,"lang":"en","type":"book-chapter","venue":"CRM proceedings & lecture notes","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Series (stratigraphy); Computer graphics (images); Computer science; Geology; Paleontology","score_opus":0.007848452313930063,"score_gpt":0.20212690322476118,"score_spread":0.19427845091083112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2609774477","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009175863,0.029244846,0.0030649973,0.0010450938,0.00013012406,0.0014244192,0.00022378947,0.0011025395,0.95458835],"genre_scores_gemma":[0.99103487,0.004997421,0.0028475402,0.000051369654,0.00008120575,0.00002324353,0.00002494535,0.00013193121,0.0008074644],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987049,0.000003380571,0.00048003867,0.0003001503,0.000297426,0.00021411746],"domain_scores_gemma":[0.99918234,0.00014563584,0.00026034625,0.00017039268,0.00018901275,0.000052276],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014215197,0.000439779,0.0009228863,0.00013516907,0.00005010778,0.000025662963,0.00028625017,0.00036145252,0.0001579852],"category_scores_gemma":[0.00009633519,0.00030016227,0.00019374733,0.000115418734,0.00041695856,0.0001313108,0.000056143166,0.0004823388,0.0000027658025],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012989547,0.00006222138,0.00029633,0.0059861755,0.0020764163,0.000010793364,0.0059982734,0.0013270194,0.11089696,0.74351895,0.0007291866,0.1277987],"study_design_scores_gemma":[0.00030474906,0.00015222318,0.000033261193,0.000551587,0.00040732624,0.000019297253,0.000026807671,0.00036170814,0.11003238,0.834485,0.05305515,0.0005705172],"about_ca_topic_score_codex":0.000024143379,"about_ca_topic_score_gemma":0.000012482387,"teacher_disagreement_score":0.981859,"about_ca_system_score_codex":0.000034655608,"about_ca_system_score_gemma":0.000014779707,"threshold_uncertainty_score":0.99994504},"labels":[],"label_agreement":null},{"id":"W2609864094","doi":"10.1090/amsip/025/08","title":"Some properties of refinable splines","year":2002,"lang":"en","type":"book-chapter","venue":"AMS/IP studies in advanced mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Mathematics","score_opus":0.06863312545586542,"score_gpt":0.2881119091948783,"score_spread":0.21947878373901286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2609864094","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030682476,0.46367648,0.022455063,0.00024252544,0.0014796926,0.0037377656,0.00012351376,0.004434167,0.50078255],"genre_scores_gemma":[0.014495241,0.26055685,0.30904976,0.00008358046,0.00039822314,0.00043246828,0.000014704856,0.0006912393,0.41427794],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978554,0.0000059565937,0.001100883,0.00033454134,0.00034132323,0.00036186536],"domain_scores_gemma":[0.9986353,0.00013771481,0.00033053054,0.00067437685,0.00017880434,0.000043290485],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000109929235,0.00060539786,0.0016153959,0.00028822964,0.000043719792,0.000006011897,0.0003317927,0.00021620546,0.000027263039],"category_scores_gemma":[0.00018874242,0.0005137808,0.00020834833,0.00012963216,0.0003604713,0.00019796006,0.0002237465,0.00042739004,0.000039690254],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007420641,0.0007620813,0.0000146394295,0.05796081,0.0049265786,0.0002961191,0.009531043,0.11024281,0.01396852,0.73672295,0.0072780973,0.058222145],"study_design_scores_gemma":[0.00063805026,0.0002314199,0.0000010247442,0.011703987,0.00046271036,0.000021404632,0.0010321061,0.010991611,0.026758898,0.89840376,0.047537357,0.0022176728],"about_ca_topic_score_codex":0.0000010137871,"about_ca_topic_score_gemma":0.000005903571,"teacher_disagreement_score":0.2865947,"about_ca_system_score_codex":0.0002566774,"about_ca_system_score_gemma":0.000007069479,"threshold_uncertainty_score":0.99973136},"labels":[],"label_agreement":null},{"id":"W2615855543","doi":"10.1145/3096730.3096732","title":"Fast parallel multi-point evaluation of sparse polynomials","year":2017,"lang":"en","type":"article","venue":"ACM communications in computer algebra","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Bivariate analysis; A priori and a posteriori; Mathematics; Combinatorics; Polynomial; Value (mathematics); Point (geometry); Discrete mathematics; Algorithm; Statistics; Mathematical analysis; Geometry","score_opus":0.0969491973978745,"score_gpt":0.36617443926151,"score_spread":0.2692252418636355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615855543","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0738597,0.0009010337,0.92215836,0.0009929861,0.00011106979,0.0004930643,0.00000891604,0.0003111073,0.0011637543],"genre_scores_gemma":[0.60144705,0.0002469942,0.39817676,0.000021118703,0.000015772968,0.00006237931,0.000013015826,0.000013247796,0.0000036822807],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989607,0.00013638519,0.00044222068,0.00013225678,0.00017626693,0.00015220561],"domain_scores_gemma":[0.99429435,0.00017510721,0.00016600238,0.005184599,0.00014163436,0.000038332902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000602789,0.0001337156,0.00027266366,0.0001462037,0.00014505646,0.00004457221,0.0026995067,0.000066178116,0.000020600048],"category_scores_gemma":[0.00022521267,0.00014210737,0.00007582575,0.00012867022,0.00017293256,0.0003044871,0.0010917884,0.00020292873,0.00001894524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007953526,0.00047202368,0.011103742,0.000039686336,0.00019573764,0.0000010739242,0.0012087674,0.1441712,0.0029427658,0.0029575678,0.0010361078,0.83586335],"study_design_scores_gemma":[0.00052101654,0.000015825071,0.033295438,0.00006268101,0.00004202672,0.0000014903386,0.00002066717,0.95356315,0.0013915193,0.010558285,0.00034002695,0.00018786505],"about_ca_topic_score_codex":0.00009101583,"about_ca_topic_score_gemma":0.00018995097,"teacher_disagreement_score":0.83567554,"about_ca_system_score_codex":0.000108628425,"about_ca_system_score_gemma":0.000018022905,"threshold_uncertainty_score":0.579497},"labels":[],"label_agreement":null},{"id":"W2618798273","doi":"","title":"Adaptation de la topologie CAO pour la génération d'un modèle de simulation et de ses contraintes de maillage éléments finis","year":2009,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Humanities; Physics; Philosophy","score_opus":0.020457014482858103,"score_gpt":0.27258163669634966,"score_spread":0.2521246222134916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618798273","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09625586,0.0007260774,0.8800828,0.005269929,0.000044115834,0.0004301148,0.000051922678,0.0007243237,0.016414853],"genre_scores_gemma":[0.59075844,0.0017567852,0.40583602,0.00016855118,0.00002727121,0.00007737061,0.00023273965,0.000056709956,0.001086126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98657924,0.010816756,0.00076810404,0.00070545205,0.00038494862,0.00074551883],"domain_scores_gemma":[0.9919845,0.005135727,0.00054317527,0.0011252624,0.0009117213,0.00029960708],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0074630193,0.0005361784,0.00055625156,0.00024526476,0.00037644946,0.00043905986,0.0008205086,0.0007148985,0.00013290408],"category_scores_gemma":[0.0042298557,0.00065542886,0.00032267763,0.0004430497,0.0002810317,0.00032868414,0.0003456141,0.0009900946,0.000021442116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002863052,0.0005603743,0.002630699,0.00015329913,0.00017356152,0.000020110907,0.009357473,0.6894121,0.050808176,0.135944,0.00012171147,0.11078983],"study_design_scores_gemma":[0.00042477026,0.0000015990294,0.007647717,0.0007947163,0.00014161144,0.000020754931,0.0002043129,0.7986381,0.111153856,0.07621259,0.0042594173,0.0005005523],"about_ca_topic_score_codex":0.0029199708,"about_ca_topic_score_gemma":0.0009809665,"teacher_disagreement_score":0.49450257,"about_ca_system_score_codex":0.0016467172,"about_ca_system_score_gemma":0.00048753,"threshold_uncertainty_score":0.9995897},"labels":[],"label_agreement":null},{"id":"W2618804199","doi":"10.1007/s00170-017-0548-y","title":"Drop and tilt method of five-axis tool positioning for tensor product surfaces","year":2017,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Toroid; Tilt (camera); Machining; Tensor product; Surface (topology); Geometry; Position (finance); Drop (telecommunication); Product (mathematics); Tensor (intrinsic definition); Mathematics; Mechanical engineering; Engineering drawing; Engineering; Physics; Pure mathematics","score_opus":0.008846093753904395,"score_gpt":0.2943107298420886,"score_spread":0.28546463608818423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618804199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76879376,0.00035136155,0.22782342,0.0024788522,0.00022575282,0.00014176531,0.000011026266,0.00009984499,0.00007422314],"genre_scores_gemma":[0.7508316,0.00033568905,0.2486736,0.000018202603,0.00005843092,0.00000898063,8.1651984e-7,0.000016075675,0.000056587895],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991445,0.000010173167,0.0003898362,0.00012735004,0.00018729709,0.00014087462],"domain_scores_gemma":[0.9987877,0.00015405446,0.00047775602,0.0003024832,0.0002574728,0.000020531676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025618516,0.00012877722,0.00029043024,0.00023173692,0.00011754588,0.0000371557,0.0009088614,0.000057584504,0.000005552302],"category_scores_gemma":[0.0003117526,0.00009395264,0.00009008027,0.000034501354,0.00016002772,0.00030920704,0.00015374024,0.00023926503,4.675046e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002099606,0.00003857805,0.00024435908,0.000054299104,0.0006271813,0.000018883273,0.000108098946,0.0823666,0.49359712,0.0018739875,0.0001385185,0.4207224],"study_design_scores_gemma":[0.0003483444,0.00008755797,0.0012006926,0.00008398013,0.000041132367,0.00015541284,0.000073993695,0.0033141847,0.94900167,0.043671064,0.0019133134,0.00010863127],"about_ca_topic_score_codex":0.0000068173476,"about_ca_topic_score_gemma":0.0000041087615,"teacher_disagreement_score":0.45540455,"about_ca_system_score_codex":0.000060909788,"about_ca_system_score_gemma":0.000008853017,"threshold_uncertainty_score":0.38312778},"labels":[],"label_agreement":null},{"id":"W2624897769","doi":"","title":"Isogeometric Shape Optimization","year":2010,"lang":"en","type":"article","venue":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Isogeometric analysis; Computer science; Engineering; Finite element method; Structural engineering","score_opus":0.006369120972614506,"score_gpt":0.19032840722801278,"score_spread":0.18395928625539829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2624897769","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19547498,0.00042288567,0.7474828,0.00069446716,0.00027784257,0.0012639402,0.00018996384,0.0027761366,0.05141699],"genre_scores_gemma":[0.8191284,0.0010128254,0.17890969,0.00002946217,0.000038271846,4.3505207e-7,0.00003978455,0.00006702019,0.00077412545],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99668926,0.000113196336,0.00065363443,0.00087242055,0.0009042568,0.0007672479],"domain_scores_gemma":[0.9967101,0.0005391118,0.00043885887,0.0012926459,0.0005022959,0.0005169611],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00053763547,0.000590519,0.0012455545,0.0013056543,0.0003064736,0.000021727545,0.0022953928,0.0011186424,0.0053186114],"category_scores_gemma":[0.00036093532,0.00076290965,0.000775494,0.0037173557,0.0013444095,0.0007198661,0.00089943403,0.0016821582,0.00017177747],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0025837207,0.0047661453,0.009050895,0.0013565429,0.0018608948,0.0013904809,0.00038984008,0.062189683,0.71056193,0.016778035,0.06276071,0.12631111],"study_design_scores_gemma":[0.017567493,0.004551258,0.068121575,0.0016052484,0.0054455213,0.00079191773,0.0030209795,0.44409728,0.0659204,0.00913436,0.36653575,0.013208197],"about_ca_topic_score_codex":0.00017448259,"about_ca_topic_score_gemma":0.0003654187,"teacher_disagreement_score":0.6446415,"about_ca_system_score_codex":0.00037358297,"about_ca_system_score_gemma":0.000100640966,"threshold_uncertainty_score":0.9994822},"labels":[],"label_agreement":null},{"id":"W2625394875","doi":"","title":"Un algorithme de coupes pour l'Affectation Quadratique","year":2001,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.007512384375431757,"score_gpt":0.22914007161179212,"score_spread":0.22162768723636037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625394875","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046097092,0.0026683488,0.9110799,0.014575639,0.00019259997,0.0006110835,0.000064045504,0.0012715457,0.02343974],"genre_scores_gemma":[0.34626916,0.0052552787,0.63452774,0.00011920184,0.00010280897,0.00026300116,0.0005801207,0.00017560589,0.012707109],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99059314,0.0057720365,0.0010631686,0.0011192616,0.0005819727,0.0008704248],"domain_scores_gemma":[0.99196815,0.002629518,0.0006281143,0.0022319616,0.0021076056,0.0004346651],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004594749,0.0008085287,0.00087651686,0.00034003635,0.00042833094,0.0003899231,0.0014860705,0.0007756427,0.0007344421],"category_scores_gemma":[0.001975405,0.0009624695,0.00051891693,0.0010272784,0.00032095794,0.0003574066,0.0007546427,0.0014950307,0.00023885649],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023690567,0.0015584246,0.0041641807,0.0006326228,0.0007273779,0.00006153177,0.0113045145,0.023178915,0.043642312,0.24332047,0.0026420567,0.6687439],"study_design_scores_gemma":[0.00069444365,0.0000014977564,0.0075423,0.0027429317,0.00031457253,0.00007196651,0.0002396017,0.48913723,0.38804677,0.069588736,0.040043324,0.0015766073],"about_ca_topic_score_codex":0.003919499,"about_ca_topic_score_gemma":0.001812272,"teacher_disagreement_score":0.6671673,"about_ca_system_score_codex":0.0009838087,"about_ca_system_score_gemma":0.0003006491,"threshold_uncertainty_score":0.9992826},"labels":[],"label_agreement":null},{"id":"W26522012","doi":"10.1007/978-3-642-23860-4_49","title":"Flexible Tool-path Generation for Variable Geometry","year":2011,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"CAD; Engineering drawing; Point cloud; Software; Machining; Tool path; Component (thermodynamics); Computer-aided manufacturing; Engineering; Path (computing); Mechanical engineering; Computer science; Geometry; Mathematics","score_opus":0.02989476788878496,"score_gpt":0.23118955522727996,"score_spread":0.201294787338495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W26522012","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[9.576081e-7,0.00026872221,0.568719,0.000002652823,0.00008275661,0.00016006084,0.0000214442,0.0007682049,0.42997614],"genre_scores_gemma":[0.00032532358,0.0002915574,0.31043404,0.00009213509,0.00036376575,0.00006456929,0.00022378546,0.00013594743,0.68806887],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99909514,0.0000016455459,0.00030562293,0.00027506216,0.0001192349,0.00020330014],"domain_scores_gemma":[0.99942803,0.000028029817,0.000054445503,0.00035976368,0.0000802611,0.000049491497],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007866775,0.00028772245,0.0003717928,0.0001826254,0.0000401482,0.000021474609,0.00014663847,0.00031469844,0.0020565074],"category_scores_gemma":[0.0000131386205,0.00027222346,0.00015308158,0.00005188179,0.00001729658,0.00012231593,0.000032174044,0.00017422737,0.00010922374],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050991316,0.000010347609,0.0000011447714,0.00013045006,0.00023267299,0.0000013734916,0.000007129855,0.0023711233,0.0048997453,0.91097903,0.05344144,0.027920462],"study_design_scores_gemma":[0.00007202748,0.000052787986,4.0423876e-7,0.000028919567,0.00011043757,0.0000014602248,3.579363e-7,0.015115182,0.0133639015,0.1712777,0.79947233,0.00050448213],"about_ca_topic_score_codex":0.0000064790825,"about_ca_topic_score_gemma":0.000001943165,"teacher_disagreement_score":0.74603087,"about_ca_system_score_codex":0.00009873779,"about_ca_system_score_gemma":0.000011438877,"threshold_uncertainty_score":0.999973},"labels":[],"label_agreement":null},{"id":"W2735138796","doi":"10.1145/3186564","title":"Natural Boundary Conditions for Smoothing in Geometry Processing","year":2018,"lang":"en","type":"preprint","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Connaught Fund; National Science Foundation","keywords":"Hessian matrix; Smoothing; Boundary (topology); Mathematics; Laplace operator; Interpolation (computer graphics); Laplacian matrix; Geometry processing; Geometry; Polygon mesh; Boundary value problem; Shape optimization; Mathematical analysis; Smoothness; Norm (philosophy); Applied mathematics; Mathematical optimization; Computer science; Finite element method; Physics; Artificial intelligence","score_opus":0.017089053400033843,"score_gpt":0.29652985407346205,"score_spread":0.2794408006734282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735138796","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027507596,0.0008064721,0.96884745,0.0002732109,0.00055189757,0.0005332053,0.00021317105,0.001183237,0.00008372836],"genre_scores_gemma":[0.9375822,0.00042299074,0.060886517,0.00018909048,0.00008763369,0.00054802536,0.00015732553,0.00009913781,0.000027071452],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998483,0.000023268785,0.00045562844,0.00045452284,0.00022251923,0.00036104594],"domain_scores_gemma":[0.9988436,0.00020652296,0.00008435847,0.00066078344,0.00013336148,0.000071337694],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016415463,0.0003642772,0.0004309811,0.0011395282,0.00025962203,0.00009993366,0.00049785036,0.00041888078,0.000023889988],"category_scores_gemma":[0.000061530205,0.0004012163,0.00033406384,0.0009680911,0.0001835703,0.0002203016,0.000018772485,0.0016295817,0.0000040023106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025707702,0.0014984785,0.0008446233,0.007951912,0.0021538904,0.000047861897,0.0021786669,0.61330515,0.0069852653,0.0011785731,0.0032183186,0.36038017],"study_design_scores_gemma":[0.001074474,0.00022996569,0.0021592446,0.0022785065,0.0006921572,0.000019175819,0.00020627574,0.42174268,0.017055588,0.5383308,0.0134035535,0.0028075776],"about_ca_topic_score_codex":0.000017511093,"about_ca_topic_score_gemma":0.00013210537,"teacher_disagreement_score":0.9100746,"about_ca_system_score_codex":0.00019570003,"about_ca_system_score_gemma":0.000053203177,"threshold_uncertainty_score":0.99984396},"labels":[],"label_agreement":null},{"id":"W2735286742","doi":"","title":"Parametric computation of the Legendre-Fenchel conjugate with application to the computation of the Moreau envelope","year":2007,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computation; Envelope (radar); Parametric statistics; Legendre polynomials; Conjugate; Mathematics; Applied mathematics; Computer science; Mathematical analysis; Algorithm; Telecommunications; Statistics","score_opus":0.008595075529545483,"score_gpt":0.23119303166757105,"score_spread":0.22259795613802558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735286742","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08118959,0.0003546806,0.91169286,0.0021873505,0.00007662781,0.000988216,0.000029593499,0.00016099286,0.0033201182],"genre_scores_gemma":[0.9581223,0.000098443605,0.04139074,0.00006364653,0.000010376187,0.00009052703,0.00006713579,0.000038227532,0.0001185996],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970959,0.001123421,0.0006401324,0.0003727512,0.0005610928,0.00020671336],"domain_scores_gemma":[0.9957618,0.0006620259,0.0006491434,0.0014634641,0.001401224,0.00006232189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002009382,0.00026046555,0.00035046897,0.0001829229,0.0001848251,0.00005705182,0.0012686445,0.0001509746,0.0000036688489],"category_scores_gemma":[0.0003737938,0.00016082085,0.00018240073,0.0018135676,0.00028396174,0.000063612606,0.0006433568,0.0005138296,0.000004385925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021949589,0.00029181197,0.0033180723,0.00040251805,0.00024955175,3.4073594e-7,0.0054818722,0.7769796,0.008002937,0.0108440975,0.00046463223,0.19394258],"study_design_scores_gemma":[0.00034823013,0.0000017437686,0.05612784,0.0016097918,0.00020779818,0.000006336792,0.00018047146,0.48370916,0.44816855,0.006686846,0.0024276995,0.00052552245],"about_ca_topic_score_codex":0.00065299915,"about_ca_topic_score_gemma":0.0006724273,"teacher_disagreement_score":0.87693274,"about_ca_system_score_codex":0.00014533159,"about_ca_system_score_gemma":0.000083721025,"threshold_uncertainty_score":0.6558084},"labels":[],"label_agreement":null},{"id":"W2745138670","doi":"10.1007/s00170-017-0859-z","title":"An adaptive repair surface modeling approach for worn blades","year":2017,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Science Basic Research Program of Shaanxi Province","keywords":"Surface (topology); Industrial and production engineering; Engineering; Computer science; Mechanical engineering; Engineering drawing; Mathematics; Geometry","score_opus":0.018258710388619863,"score_gpt":0.2860498658455514,"score_spread":0.26779115545693155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2745138670","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38760698,0.0001718276,0.61106855,0.00037559296,0.00018281174,0.00010665231,0.000004784769,0.00035038413,0.00013241898],"genre_scores_gemma":[0.6828404,0.00017176285,0.3167968,0.00002221805,0.000109984205,0.000010314369,0.0000016244962,0.000026832895,0.000020030455],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989108,0.000010892459,0.00041382227,0.00017601575,0.00026100106,0.00022745627],"domain_scores_gemma":[0.99872726,0.00005971078,0.0003513132,0.0005575997,0.00025648187,0.00004762002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025757367,0.0001823277,0.00029225717,0.00020536433,0.00019446191,0.0000645805,0.0020718349,0.000111124085,0.000003887383],"category_scores_gemma":[0.00012300113,0.00013532964,0.00018498859,0.000039648985,0.00014189015,0.0005914672,0.0001400327,0.000430681,0.0000010277136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017597494,0.000033653185,0.000021649465,0.000006158227,0.00025445304,0.000009401108,0.00002936904,0.95525044,0.019020284,0.0009809472,0.000040459323,0.024177218],"study_design_scores_gemma":[0.00041043985,0.00017785268,0.00004049154,0.000043315402,0.000044700948,0.000083704246,0.00028520584,0.57244235,0.38353553,0.04195256,0.00078656926,0.00019725971],"about_ca_topic_score_codex":0.0000046068253,"about_ca_topic_score_gemma":0.000003990335,"teacher_disagreement_score":0.3828081,"about_ca_system_score_codex":0.00015847334,"about_ca_system_score_gemma":0.000013496206,"threshold_uncertainty_score":0.55185825},"labels":[],"label_agreement":null},{"id":"W2755505503","doi":"10.1007/s10589-017-9952-3","title":"A novel approach for ellipsoidal outer-approximation of the intersection region of ellipses in the plane","year":2017,"lang":"en","type":"article","venue":"Computational Optimization and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ellipse; Mathematics; Intersection (aeronautics); Polygon (computer graphics); Convex polygon; Combinatorics; Orthogonal convex hull; Regular polygon; Polygon covering; Convex set; Convex hull; Bounded function; Star-shaped polygon; Ellipsoid; Plane (geometry); Geometry; Convex body; Mathematical analysis; Convex optimization; Computer science","score_opus":0.021763194380381334,"score_gpt":0.26079097426604153,"score_spread":0.2390277798856602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2755505503","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018068374,0.000019081564,0.9971322,0.00013807495,0.000010138848,0.0004960943,0.000014290578,0.00002250236,0.00036081142],"genre_scores_gemma":[0.7791825,0.000013806866,0.22048491,0.000016404567,0.00001768861,0.00020690801,0.00006518206,0.0000056323347,0.000006988833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995611,0.0000103340835,0.0002103478,0.0000893529,0.000083238316,0.00004563583],"domain_scores_gemma":[0.9995012,0.00007652652,0.00016016839,0.00017453723,0.00007844778,0.000009120459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000764759,0.00005884723,0.00009143698,0.00004105124,0.00012234467,0.000019932402,0.00017456955,0.000031193515,7.254382e-7],"category_scores_gemma":[0.000019469784,0.000041880347,0.000037131667,0.000109512286,0.000086701075,0.00009840184,0.000017711254,0.000046687488,8.153072e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035164683,0.000049112263,0.00012929812,0.000037248254,0.0000073474075,6.2654224e-9,0.00009674465,0.9863307,0.00019270711,0.010666842,0.000028794586,0.002457716],"study_design_scores_gemma":[0.00016076931,0.000009580013,0.0013594656,0.000009929801,0.000012944695,0.0000037458526,0.00007187306,0.99440384,0.00035972512,0.0034401985,0.00012398217,0.00004392049],"about_ca_topic_score_codex":0.000005184946,"about_ca_topic_score_gemma":0.0000021436683,"teacher_disagreement_score":0.77737564,"about_ca_system_score_codex":0.000015246819,"about_ca_system_score_gemma":0.000006612264,"threshold_uncertainty_score":0.1707831},"labels":[],"label_agreement":null},{"id":"W2758545344","doi":"10.5555/3141475.3141495","title":"Parameter Aligned Trimmed Surfaces","year":2017,"lang":"kn","type":"article","venue":"Graphics Interface","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Trimming; Linear subspace; Subspace topology; Parametric statistics; Interpolation (computer graphics); Mathematics; Voronoi diagram; Parameter space; Surface (topology); Computer science; Geometry; Artificial intelligence; Mathematical analysis; Statistics","score_opus":0.02641127682178916,"score_gpt":0.3115583091549813,"score_spread":0.2851470323331921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2758545344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5244273,0.007942313,0.44578788,0.0028032493,0.0021376493,0.0008873089,0.00013169413,0.0017510008,0.014131626],"genre_scores_gemma":[0.98623055,0.0021646782,0.009623146,0.00010980674,0.00010900531,0.0000328912,0.0000072002567,0.000120207944,0.0016024832],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99729276,0.00009430423,0.00070874894,0.0007066746,0.0004258403,0.00077170326],"domain_scores_gemma":[0.9966092,0.00029904113,0.00041605192,0.00226758,0.00015666003,0.00025144446],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039937018,0.0006175961,0.00084769155,0.000252687,0.0005616208,0.000541924,0.001708411,0.00042001845,0.0002544994],"category_scores_gemma":[0.0006551361,0.0006096692,0.00048242763,0.00028652014,0.0005856352,0.00060638675,0.00044551064,0.00060383487,0.00028219435],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016235362,0.002714852,0.043831937,0.002720918,0.016845098,0.00078580884,0.007368384,0.056309704,0.35459936,0.072911106,0.09491645,0.34537286],"study_design_scores_gemma":[0.0019502023,0.00072653504,0.011078252,0.0010839332,0.0009955979,0.00002604586,0.00031441366,0.19591035,0.6153821,0.05291783,0.11580459,0.0038102],"about_ca_topic_score_codex":0.0003338498,"about_ca_topic_score_gemma":0.00009883449,"teacher_disagreement_score":0.4618033,"about_ca_system_score_codex":0.0001067211,"about_ca_system_score_gemma":0.000020007306,"threshold_uncertainty_score":0.99963546},"labels":[],"label_agreement":null},{"id":"W27617868","doi":"10.1023/a:1021920724315","title":"A Spline Collocation Method for Linear Volterra Integro-Differential Equations with Weakly Singular Kernels","year":2001,"lang":"en","type":"article","venue":"BIT Numerical Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Mathematics; Piecewise; Applied mathematics; Polynomial; Collocation (remote sensing); Convergence (economics); Collocation method; Initial value problem; Piecewise linear function; Differential equation; Mathematical analysis; Ordinary differential equation; Computer science","score_opus":0.020846266814706943,"score_gpt":0.3000792706158918,"score_spread":0.2792330038011849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W27617868","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021150704,0.00004901759,0.9960144,0.00015895149,0.00004530638,0.00052217685,0.000010910089,0.00075983827,0.00032432203],"genre_scores_gemma":[0.21688794,0.000018733064,0.7822614,0.00004950049,0.00012238964,0.0002255757,0.000044781445,0.000083336614,0.00030636098],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860674,0.00002498651,0.00050732476,0.00026012288,0.00027155023,0.00032929558],"domain_scores_gemma":[0.9988144,0.00040985827,0.00012005495,0.00036600424,0.00016272017,0.00012694023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013299362,0.00028594304,0.00049447647,0.00013062505,0.000087942004,0.000040130446,0.00021315357,0.00010978186,0.00009888914],"category_scores_gemma":[0.00026314904,0.00022758763,0.00014788304,0.0006652048,0.000045544788,0.00012736705,0.000033745247,0.00018255875,0.000032369797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055920787,0.0052688057,0.00028212892,0.002909542,0.0027616736,0.00006993839,0.004597221,0.33517888,0.27002224,0.092783034,0.0055106394,0.2800567],"study_design_scores_gemma":[0.00026491462,0.00016133429,0.000012544818,0.00007320164,0.00016437567,0.000015622147,0.00007262173,0.9781909,0.008134161,0.008542799,0.004052467,0.00031504454],"about_ca_topic_score_codex":0.000009395893,"about_ca_topic_score_gemma":0.000003671106,"teacher_disagreement_score":0.64301205,"about_ca_system_score_codex":0.00011391073,"about_ca_system_score_gemma":0.000016989201,"threshold_uncertainty_score":0.9280754},"labels":[],"label_agreement":null},{"id":"W2762276134","doi":"","title":"Conception d'un échantillon modèle en matériaux composites et caractérisation par microtomographie à rayons-X développement d'un outil de mesure de champs de déplacements tridimensionnels","year":2011,"lang":"fr","type":"article","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Physics; Materials science; Composite material","score_opus":0.020008071996131666,"score_gpt":0.22414893579239487,"score_spread":0.2041408637962632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762276134","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43350208,0.0047312616,0.56016344,0.00021645201,0.00016373681,0.00039736403,0.000027364624,0.00007607188,0.00072221004],"genre_scores_gemma":[0.74397326,0.00385371,0.25191694,0.00002916082,0.000041214666,0.0000037228522,0.000022348555,0.000023046669,0.00013658738],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99788505,0.0004722356,0.00047099724,0.00035588688,0.00033478485,0.00048104272],"domain_scores_gemma":[0.99890554,0.000103727194,0.00023656675,0.00036500112,0.00020372329,0.0001854602],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006541167,0.00037560877,0.0005213998,0.00026246381,0.00043192445,0.000013715636,0.0006021775,0.00033300126,0.00012309043],"category_scores_gemma":[0.00005062012,0.0004039368,0.0004517722,0.0005136396,0.0006242265,0.00034966867,0.00028909836,0.00038406072,0.000018714447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000394888,0.0011235153,0.041424606,0.0018079571,0.0011286541,0.000030766743,0.023872908,0.107361294,0.8102095,0.005566925,0.00068461185,0.0063943653],"study_design_scores_gemma":[0.0011526144,0.0001300175,0.103706405,0.0019862943,0.00064769614,0.000040997842,0.00045488603,0.06510716,0.82268065,0.0026340284,0.0010785937,0.0003806471],"about_ca_topic_score_codex":0.0017779215,"about_ca_topic_score_gemma":0.0010722053,"teacher_disagreement_score":0.31047118,"about_ca_system_score_codex":0.0022116555,"about_ca_system_score_gemma":0.00016103171,"threshold_uncertainty_score":0.9998413},"labels":[],"label_agreement":null},{"id":"W2763895446","doi":"10.1007/s11075-017-0424-8","title":"Matrix-free monolithic homotopy continuation with application to computational aerodynamics","year":2017,"lang":"en","type":"article","venue":"Numerical Algorithms","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Canada Excellence Research Chairs, Government of Canada","keywords":"Theory of computation; Mathematics; Aerodynamics; Continuation; Homotopy; Homotopy analysis method; Matrix (chemical analysis); Algebra over a field; Applied mathematics; Calculus (dental); Topology (electrical circuits); Pure mathematics; Algorithm; Computer science; Combinatorics; Aerospace engineering; Engineering","score_opus":0.005511948689517506,"score_gpt":0.263346850406424,"score_spread":0.25783490171690654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763895446","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011282599,0.000027059428,0.9860336,0.00071526336,0.000049868915,0.00036061468,0.000023429822,0.0007018684,0.000805697],"genre_scores_gemma":[0.62457085,0.0000071306654,0.37495837,0.00007397982,0.0000866442,0.00015290399,0.000037535752,0.000039039045,0.00007353631],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987348,0.000016534605,0.0002762379,0.00033129475,0.00035934412,0.00028181646],"domain_scores_gemma":[0.99872863,0.000054088738,0.00010962845,0.0007916352,0.00014444781,0.00017156973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000096802425,0.00021873238,0.00030032915,0.0000893496,0.000233367,0.0001181037,0.0005954531,0.00008836395,0.00001524645],"category_scores_gemma":[0.00007891644,0.00019562908,0.00006485964,0.00023717248,0.00007542262,0.00026960135,0.00010115963,0.00021155235,0.00010096929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005248803,0.00013920933,0.0030709605,0.000039834624,0.00014066916,0.000012827718,0.00013460367,0.5877184,0.0015878616,0.0048705908,0.00071661297,0.4015159],"study_design_scores_gemma":[0.0003390885,0.00010292441,0.016876915,0.000014702462,0.000033745702,0.0000081808375,0.00001160177,0.9657126,0.00074051315,0.012658103,0.0031484216,0.00035316692],"about_ca_topic_score_codex":0.000070669135,"about_ca_topic_score_gemma":0.000011602463,"teacher_disagreement_score":0.6132883,"about_ca_system_score_codex":0.00013637055,"about_ca_system_score_gemma":0.000013390017,"threshold_uncertainty_score":0.7977522},"labels":[],"label_agreement":null},{"id":"W2766008577","doi":"10.5539/cis.v10n4p67","title":"An Approximation Method of Bézier Curve","year":2017,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Inner Mongolia; National Natural Science Foundation of China","keywords":"Base (topology); Norm (philosophy); Order (exchange); Function (biology); Mathematics; Bézier curve; Banach space; Computer science; Applied mathematics; Linear approximation; Mathematical optimization; Mathematical analysis; Geometry; Nonlinear system; Physics","score_opus":0.012394906250930478,"score_gpt":0.3102835972503124,"score_spread":0.2978886909993819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766008577","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013292886,0.000003786375,0.9838383,0.000013109583,0.00004180967,0.00003649313,9.445403e-7,0.00006756627,0.002705087],"genre_scores_gemma":[0.64689684,0.000013080299,0.35305202,0.000025415611,0.000008435527,0.0000015377111,0.0000012596994,8.373758e-7,6.0946917e-7],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996339,0.0000038608105,0.00013290293,0.000045613553,0.00012157955,0.00006214582],"domain_scores_gemma":[0.99958676,0.000008178726,0.000065272114,0.00021684836,0.00008666657,0.00003627335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027894485,0.00003765039,0.00006541558,0.000097939075,0.00012794827,0.00012893541,0.00023580855,0.000013124023,0.0000023152445],"category_scores_gemma":[0.000018735303,0.000031736225,0.000010007353,0.00010698611,0.00012012402,0.008076589,0.000044445704,0.000029218494,0.0000024611113],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.041651e-7,0.000003760116,0.00037973796,0.000023421373,0.000002053276,2.5779515e-8,0.0005597428,0.01121633,0.0027584368,0.0070669847,0.000036300753,0.9779524],"study_design_scores_gemma":[0.00003505807,0.000016197331,0.014369334,0.000005891103,0.0000012843684,0.0000011788513,0.00000816371,0.966478,0.017475273,0.0007576376,0.00080731686,0.00004469739],"about_ca_topic_score_codex":0.0000028408685,"about_ca_topic_score_gemma":1.05065176e-7,"teacher_disagreement_score":0.9779077,"about_ca_system_score_codex":0.000009033702,"about_ca_system_score_gemma":0.0000051381658,"threshold_uncertainty_score":0.58553314},"labels":[],"label_agreement":null},{"id":"W2767482913","doi":"","title":"Metric Dimension of the Mobius Ladder.","year":2017,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Dimension (graph theory); Metric (unit); Pure mathematics; Combinatorics; Business","score_opus":0.00836152179824795,"score_gpt":0.24427196183288385,"score_spread":0.2359104400346359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767482913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903327,0.00032795253,0.00051047886,0.000092267255,0.0008777017,0.0001292637,0.0000019652011,0.00024533595,0.0074822996],"genre_scores_gemma":[0.9992687,0.00004873309,0.0005504891,0.000010566406,0.0000034983238,0.0000073954016,4.5645447e-7,0.000015917029,0.00009425269],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994917,0.000012353362,0.00013712987,0.00009060733,0.00014986272,0.0001183271],"domain_scores_gemma":[0.99909496,0.000037283193,0.00007749161,0.0007209027,0.0000394295,0.000029924406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006647022,0.00008534636,0.00015901428,0.00004368798,0.00012522074,0.000015435173,0.00043160142,0.00004501712,0.000011168776],"category_scores_gemma":[0.00012338602,0.000060806156,0.0000829759,0.00018614497,0.0000644315,0.0001043174,0.00012617419,0.000111708134,0.000009977556],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026682408,0.000463089,0.08325325,0.0001910817,0.00075858954,0.000022438098,0.0003681563,0.008712668,0.15855816,0.65422386,0.021393657,0.07202835],"study_design_scores_gemma":[0.00054016407,0.00006730571,0.050560392,0.00006104836,0.00011221764,0.0000024710914,0.000021700827,0.012498883,0.46552724,0.46562368,0.0046326728,0.00035221488],"about_ca_topic_score_codex":0.000021377915,"about_ca_topic_score_gemma":0.000001505419,"teacher_disagreement_score":0.3069691,"about_ca_system_score_codex":0.000030394125,"about_ca_system_score_gemma":0.000003687632,"threshold_uncertainty_score":0.24796031},"labels":[],"label_agreement":null},{"id":"W2768380610","doi":"10.20382/jocg.v8i1a2","title":"Towards plane spanners of degree 3","year":2016,"lang":"en","type":"article","venue":"Journal of Computational Geometry (Carleton University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Ottawa; Carleton University","funders":"Agence Nationale de la Recherche","keywords":"Combinatorics; Degree (music); Mathematics; Vertex (graph theory); Spanner; General position; Plane (geometry); Regular polygon; Lattice (music); Position (finance); Geometry; Graph; Physics; Computer science","score_opus":0.011770719910364423,"score_gpt":0.20626728073711498,"score_spread":0.19449656082675054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768380610","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24150221,0.00008157432,0.7546173,0.00017251844,0.00008904705,0.000027230848,0.000015732663,0.000051337087,0.0034431044],"genre_scores_gemma":[0.96670634,0.00009663072,0.03292622,0.000014567151,0.00005121072,3.129318e-8,0.0000018478512,0.000010173668,0.00019297241],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991877,0.000022795131,0.0002754659,0.000070891256,0.0003261559,0.00011699891],"domain_scores_gemma":[0.9991743,0.00016447298,0.00020069322,0.000072679264,0.00029270386,0.000095183066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009438347,0.00009936432,0.0002657254,0.000888065,0.000020122252,0.0000045763054,0.00024014007,0.000051731826,0.00009300581],"category_scores_gemma":[0.000044051292,0.00007834666,0.00015882254,0.0007761957,0.0000666051,0.00028034905,0.000031284442,0.00010486535,0.000004916802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027390238,0.00016189694,0.005162664,0.00010096175,0.001085713,0.00034299569,0.000100273406,0.7472426,0.020204552,0.010161845,0.004014009,0.21114856],"study_design_scores_gemma":[0.01623446,0.0041420604,0.18371499,0.0020012357,0.0016515548,0.0011412689,0.001649978,0.03365462,0.20093973,0.10700679,0.44399002,0.0038733056],"about_ca_topic_score_codex":0.0000029520795,"about_ca_topic_score_gemma":7.2351276e-7,"teacher_disagreement_score":0.7252041,"about_ca_system_score_codex":0.00015538197,"about_ca_system_score_gemma":0.000042677366,"threshold_uncertainty_score":0.3194884},"labels":[],"label_agreement":null},{"id":"W2772287557","doi":"","title":"Geometric optimization problems over sliding windows","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mathematics; Sublinear function; Dimension (graph theory); Constant (computer programming); Logarithm; Optimization problem; Point (geometry); Sliding window protocol; Set (abstract data type); Upper and lower bounds; Mathematical optimization; Approximation algorithm; Applied mathematics; Window (computing); Mathematical analysis; Combinatorics; Computer science; Geometry","score_opus":0.007870162771231032,"score_gpt":0.21752183127652683,"score_spread":0.2096516685052958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772287557","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032088766,0.000111888054,0.9870549,0.000024740984,0.000026474328,0.000099395314,4.57335e-7,0.0012238723,0.008249439],"genre_scores_gemma":[0.7972812,0.00010605687,0.20239446,0.000041706673,0.000025645659,0.000018191477,0.000005145453,0.000023288398,0.0001043229],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994739,0.0000028627053,0.00014565226,0.00011102897,0.00011143636,0.00015506716],"domain_scores_gemma":[0.9997873,0.000012776479,0.000016204393,0.00012077349,0.000019347795,0.00004364424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000038697104,0.00009299989,0.00011237095,0.00022857159,0.000027035563,0.000018859046,0.00007565231,0.00004280899,0.00018360016],"category_scores_gemma":[0.000021125517,0.000082997634,0.000043319225,0.0010978029,0.000006465468,0.00021403583,0.000017284541,0.00007486663,0.00002668402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[2.6696048e-7,0.00000887253,0.00007871148,0.000007176067,0.0000112228545,9.670833e-7,0.000011101819,0.9962496,0.0011774413,0.00046082216,0.00007121501,0.0019226059],"study_design_scores_gemma":[0.0006430997,0.0000697989,0.00051671994,0.00004679586,0.000042904165,0.0000083898,0.000019537254,0.89473283,0.09180333,0.0059930403,0.0054574683,0.0006660834],"about_ca_topic_score_codex":0.000015457612,"about_ca_topic_score_gemma":0.0000023254483,"teacher_disagreement_score":0.79407233,"about_ca_system_score_codex":0.000116993026,"about_ca_system_score_gemma":0.0000028174984,"threshold_uncertainty_score":0.3384545},"labels":[],"label_agreement":null},{"id":"W2773894945","doi":"10.1007/s00170-017-1219-8","title":"An efficient methodology for slicing NURBS surfaces using multi-step methods","year":2017,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Slicing; Machining; Computer science; CAD; Engineering drawing; Generalizability theory; Process (computing); Algorithm; Mechanical engineering; Engineering; Mathematics; Computer graphics (images)","score_opus":0.06694897005475631,"score_gpt":0.42474309720135617,"score_spread":0.35779412714659986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773894945","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43977413,0.00016554775,0.5588102,0.00044134463,0.0005618248,0.00009410021,0.0000032922703,0.00013839021,0.000011173463],"genre_scores_gemma":[0.45202947,0.000078544945,0.547745,0.000026464051,0.000078878984,0.0000068806103,6.158139e-7,0.000026081452,0.00000805232],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99863183,0.000076186516,0.0005721565,0.00020173276,0.0002207925,0.00029731356],"domain_scores_gemma":[0.99797827,0.0004033774,0.00068443053,0.0005924724,0.00028459777,0.00005685711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010296052,0.00021906321,0.000453652,0.00042874206,0.00025967348,0.00007658569,0.0023489941,0.00014750805,0.000008196805],"category_scores_gemma":[0.0006478642,0.00016228482,0.00017503864,0.00005748019,0.00023142845,0.00031048665,0.00019760148,0.0004563613,9.671925e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060881273,0.00002988129,0.000060983042,0.000007772134,0.00020263746,0.000011303449,0.000047981743,0.4978154,0.36800006,0.00040694323,0.000006292346,0.13334987],"study_design_scores_gemma":[0.00048874127,0.00008638734,0.00024460017,0.000046151396,0.000056218494,0.00014430204,0.00020647937,0.16114388,0.8274986,0.008362229,0.0015591615,0.00016323249],"about_ca_topic_score_codex":0.000018000132,"about_ca_topic_score_gemma":0.000013322324,"teacher_disagreement_score":0.45949855,"about_ca_system_score_codex":0.00022126472,"about_ca_system_score_gemma":0.000017742026,"threshold_uncertainty_score":0.6617783},"labels":[],"label_agreement":null},{"id":"W2781874813","doi":"10.2514/6.2018-0414","title":"An Adaptive Constraint Tolerance Method for Optimization Algorithms Based on the Discrete Adjoint Method","year":2018,"lang":"en","type":"article","venue":"2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Constraint (computer-aided design); Computer science; Algorithm; Mathematical optimization; Mathematics","score_opus":0.015525979157570861,"score_gpt":0.2903752469858749,"score_spread":0.27484926782830404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2781874813","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010947348,0.000043106244,0.98448926,0.00022169152,0.00088589475,0.0010757828,0.0015947041,0.00051373994,0.00022846286],"genre_scores_gemma":[0.53169084,0.000031818538,0.4673571,0.00023170101,0.00027937687,0.00008948072,0.0002395132,0.00006280433,0.000017374969],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969283,0.00035079938,0.00076230307,0.0009039973,0.00036178107,0.0006928581],"domain_scores_gemma":[0.9979323,0.000322314,0.00031996527,0.00080105755,0.00039084157,0.00023350139],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004992394,0.000750666,0.00092496775,0.00016600643,0.00043168277,0.0003419399,0.0006137239,0.00031523942,0.00050532306],"category_scores_gemma":[0.00013705307,0.00053395575,0.00014889185,0.00021918354,0.00060304906,0.00036507132,0.00009092443,0.00029482078,0.0000027824474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015101024,0.000037881924,0.000027203305,0.00044611236,0.00061856466,0.000013067817,0.0010767934,0.24477991,0.10506225,0.3521658,0.0005507349,0.2937116],"study_design_scores_gemma":[0.00050512113,0.00049275806,0.0005625654,0.00006991939,0.00010871989,0.00002023266,0.00013053686,0.9038445,0.048468366,0.044981435,0.000120925884,0.0006949279],"about_ca_topic_score_codex":0.00020909515,"about_ca_topic_score_gemma":0.00015062506,"teacher_disagreement_score":0.6590646,"about_ca_system_score_codex":0.0001772619,"about_ca_system_score_gemma":0.00005944518,"threshold_uncertainty_score":0.9997112},"labels":[],"label_agreement":null},{"id":"W2784721485","doi":"","title":"Modélisations numériques 2D/3D d’un échangeur air-sol validées par des relevés expérimentaux.","year":2017,"lang":"fr","type":"article","venue":"ORBi UMONS","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Humanities; Philosophy","score_opus":0.02758265626132099,"score_gpt":0.288553371919126,"score_spread":0.260970715657805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784721485","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2365366,0.014979792,0.6850452,0.013729289,0.0015914418,0.001178436,0.00039423682,0.0032294774,0.04331556],"genre_scores_gemma":[0.84200066,0.0064152367,0.14607847,0.0001104115,0.00056213245,0.0002359418,0.000041318886,0.00016488667,0.004390968],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9974123,0.00012491137,0.0005885692,0.00062621897,0.0003487499,0.00089925365],"domain_scores_gemma":[0.99737865,0.00016571974,0.0002926147,0.0016506455,0.00015195705,0.00036040886],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00022546634,0.0005832862,0.00065696146,0.00018189347,0.0013814074,0.00028243597,0.0008883207,0.00031331502,0.0008110078],"category_scores_gemma":[0.00033091186,0.0006357248,0.00036598486,0.00021255783,0.00072197616,0.0014107291,0.0003451697,0.00054197834,0.00045405794],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011010635,0.0038233723,0.059832487,0.0016049511,0.003745426,0.0009995743,0.029022437,0.035626598,0.1827027,0.038604364,0.08993022,0.55399776],"study_design_scores_gemma":[0.0011012827,0.00061287364,0.021116389,0.0013250725,0.0009968509,0.000096324206,0.002109187,0.0510562,0.5913741,0.13684683,0.19009681,0.003268078],"about_ca_topic_score_codex":0.0017656808,"about_ca_topic_score_gemma":0.00070940796,"teacher_disagreement_score":0.60546404,"about_ca_system_score_codex":0.00039122443,"about_ca_system_score_gemma":0.000037892154,"threshold_uncertainty_score":0.99991864},"labels":[],"label_agreement":null},{"id":"W2786250812","doi":"","title":"La programmation des grilles informatiques","year":2005,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Humanities; Philosophy","score_opus":0.009707087496923398,"score_gpt":0.23356442155018903,"score_spread":0.22385733405326563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786250812","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059067503,0.0033585518,0.82134,0.0045852805,0.00009656792,0.000650273,0.00004276551,0.0017799913,0.10907903],"genre_scores_gemma":[0.3990867,0.006558592,0.5879061,0.00003780167,0.00005180824,0.00023169053,0.00051944953,0.000096880925,0.005510958],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99296635,0.004078236,0.001154963,0.0006451367,0.0005281302,0.0006271703],"domain_scores_gemma":[0.9937737,0.0015262389,0.00061599613,0.0017935336,0.0019917542,0.00029879733],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0044980054,0.00065347366,0.000679964,0.00032003009,0.00039184056,0.00058625615,0.0012571411,0.0006564459,0.00028964898],"category_scores_gemma":[0.0014839625,0.0007170678,0.00042393096,0.0007642918,0.00070194993,0.00076665566,0.0009787525,0.0012140085,0.00018434308],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006133857,0.00035759035,0.000909724,0.0005345633,0.00017925604,0.000003661215,0.013117942,0.0037053071,0.0012791788,0.13223542,0.0004620277,0.8472092],"study_design_scores_gemma":[0.0006446319,0.0000015771852,0.0088302065,0.007289344,0.00029812593,0.00006046511,0.0006179716,0.18961531,0.22879109,0.057717543,0.50411403,0.0020196887],"about_ca_topic_score_codex":0.0013568293,"about_ca_topic_score_gemma":0.0022331064,"teacher_disagreement_score":0.8451895,"about_ca_system_score_codex":0.00061569264,"about_ca_system_score_gemma":0.00013226554,"threshold_uncertainty_score":0.99952805},"labels":[],"label_agreement":null},{"id":"W2797337496","doi":"10.1155/2018/9204949","title":"A Novel Haptic Interactive Approach to Simulation of Surgery Cutting Based on Mesh and Meshless Models","year":2018,"lang":"en","type":"article","venue":"Journal of Healthcare Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Science Foundation of Beijing Municipality; Nanchang University; Education Department of Jiangxi Province; National Natural Science Foundation of China","keywords":"Computer science; Rendering (computer graphics); Bézier curve; Meshfree methods; Haptic technology; Simulation; Artificial intelligence; Finite element method; Mathematics; Engineering; Geometry; Structural engineering","score_opus":0.036229769230734184,"score_gpt":0.2956616122197239,"score_spread":0.25943184298898975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797337496","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.078225695,0.00010703585,0.9212672,0.00008884379,0.00010093034,0.00008592927,0.0000028704615,0.00007043719,0.000051058225],"genre_scores_gemma":[0.9031447,0.000013589368,0.09663082,0.0000502774,0.00012119449,0.000003828979,8.048083e-7,0.00003407125,7.1482947e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988742,0.00001686282,0.0005582278,0.00011584507,0.00024091572,0.00019398761],"domain_scores_gemma":[0.99891376,0.0004044119,0.00015672037,0.00012617273,0.00025211592,0.00014683396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033076465,0.00015274422,0.00043371288,0.00051244866,0.000025070369,0.000012112683,0.00008615054,0.00006113551,0.0000010701924],"category_scores_gemma":[0.00020002878,0.00014306609,0.000094980016,0.0003545502,0.000013490645,0.00024083689,0.000017558577,0.00026919844,2.716739e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032305546,0.000025799114,0.00005001337,0.00020425774,0.000033943863,0.0000014546429,0.00024251838,0.9885601,0.005207756,0.0000936171,0.0000074679983,0.0055407737],"study_design_scores_gemma":[0.000096385535,0.00010841586,0.0001886833,0.00044580942,0.0000153607,0.000010700014,0.000050687304,0.9947482,0.004114712,0.000053414118,0.000048450787,0.00011920698],"about_ca_topic_score_codex":0.000012419517,"about_ca_topic_score_gemma":8.445301e-7,"teacher_disagreement_score":0.824919,"about_ca_system_score_codex":0.00015692344,"about_ca_system_score_gemma":0.000021631276,"threshold_uncertainty_score":0.5834066},"labels":[],"label_agreement":null},{"id":"W2801993148","doi":"10.1007/s00371-018-1525-7","title":"Offsetting spherical curves in vector and raster form","year":2018,"lang":"en","type":"article","venue":"The Visual Computer","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Calgary","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Raster graphics; Computer graphics (images); Computer graphics; Vector graphics; Mathematics; Computer science; Geometry; Algorithm","score_opus":0.007744310313669953,"score_gpt":0.26467226821418915,"score_spread":0.2569279579005192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801993148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5254075,0.00032002723,0.47309875,0.0002889989,0.000081340455,0.000115367955,5.0058094e-7,0.00031445973,0.00037306082],"genre_scores_gemma":[0.9850732,0.000036953086,0.014080758,0.0005262956,0.00024424779,0.00000635271,9.966975e-7,0.000015078296,0.00001609906],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995282,0.000020019732,0.00013064517,0.00010041028,0.0000718236,0.00014889483],"domain_scores_gemma":[0.9997887,0.00006035108,0.000013988917,0.00009573213,0.000014031173,0.000027221216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008816918,0.00008669228,0.00012800172,0.000024652061,0.000029668658,0.000015361318,0.00009128798,0.00002434244,0.000028647612],"category_scores_gemma":[0.000005985464,0.00005773781,0.000022465867,0.00017669443,0.00006603912,0.0000801642,0.00008034144,0.00010674694,0.000021386439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008480005,0.00022248078,0.016691608,0.0004897634,0.0002247551,0.000022009006,0.0030736846,0.0014806937,0.025260892,0.00079515367,0.035808284,0.9158459],"study_design_scores_gemma":[0.00024152594,0.00026844558,0.02279409,0.0002013958,0.000017741842,0.000012062521,0.000020390027,0.9559913,0.00910249,0.0015151988,0.0095020505,0.00033326438],"about_ca_topic_score_codex":0.000006476929,"about_ca_topic_score_gemma":0.00000668653,"teacher_disagreement_score":0.9545106,"about_ca_system_score_codex":0.00001858255,"about_ca_system_score_gemma":0.0000013988476,"threshold_uncertainty_score":0.23544794},"labels":[],"label_agreement":null},{"id":"W2802280571","doi":"10.1016/j.jat.2018.04.002","title":"A closed PP form of box splines via Green’s function decomposition","year":2018,"lang":"en","type":"article","venue":"Journal of Approximation Theory","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Piecewise; Box spline; Spline (mechanical); Polynomial; Applied mathematics; Function (biology); Decomposition; Mathematical analysis; Spline interpolation","score_opus":0.00583313401381102,"score_gpt":0.24728704936689563,"score_spread":0.2414539153530846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802280571","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16043265,0.00010664015,0.8386855,0.000033432163,0.000104669125,0.00006217658,0.0000011086555,0.00006844012,0.0005053946],"genre_scores_gemma":[0.94405353,0.000039146078,0.05556775,0.000035046152,0.00026166954,0.0000033730157,0.0000036789186,0.000016749187,0.000019047584],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99910444,0.00003663387,0.00051694066,0.000058502552,0.00019129075,0.00009216758],"domain_scores_gemma":[0.9991456,0.000057990055,0.00034271932,0.00011301391,0.00029947225,0.000041175088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004194107,0.00009600386,0.00021960448,0.00017801096,0.0000335038,0.000008255695,0.0001011017,0.000059791837,0.00006995153],"category_scores_gemma":[0.000031941086,0.00007932253,0.00012450223,0.00022474417,0.00005602285,0.00039731467,0.0000113602455,0.00011645109,0.00000827262],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087636296,0.00022437723,0.00020081537,0.0002735031,0.00041010557,0.000003251025,0.0011658903,0.0027534931,0.6674645,0.017313896,0.000873641,0.30844018],"study_design_scores_gemma":[0.00047292895,0.00058325886,0.0010828277,0.00010463462,0.00015540473,0.000037181428,0.00014304701,0.074180484,0.35801423,0.5643736,0.0006772365,0.00017517999],"about_ca_topic_score_codex":0.0000014097066,"about_ca_topic_score_gemma":0.0000014574981,"teacher_disagreement_score":0.7836209,"about_ca_system_score_codex":0.00006787181,"about_ca_system_score_gemma":0.000007020358,"threshold_uncertainty_score":0.32346788},"labels":[],"label_agreement":null},{"id":"W2805901792","doi":"10.1016/j.jalgebra.2019.07.037","title":"Tritangents and their space sextics","year":2019,"lang":"en","type":"preprint","venue":"Journal of Algebra","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Simon Fraser University","keywords":"Mathematics; Blowing up; Space (punctuation); Plane (geometry); Plane curve; Perspective (graphical); Pure mathematics; Degree (music); Projective space; Algebra over a field; Geometry; Projective test; Computer science","score_opus":0.008861558630176552,"score_gpt":0.23104375708037783,"score_spread":0.2221821984502013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805901792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61242676,0.010977903,0.3729958,0.00041555776,0.000973249,0.00024584893,0.000021947906,0.00022798685,0.0017149266],"genre_scores_gemma":[0.97541046,0.0041769226,0.019946612,0.00004731489,0.0002602309,0.0000016363359,0.0000020204945,0.000050626448,0.00010418942],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9991365,0.000022199494,0.00041250777,0.00011091354,0.00017093298,0.0001469302],"domain_scores_gemma":[0.9992456,0.00006874618,0.00025768843,0.00022824804,0.00010036078,0.00009936444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001552444,0.00021902345,0.00056405517,0.00018231588,0.000012898311,0.000040225445,0.000243128,0.00018446909,0.000032682867],"category_scores_gemma":[0.000036941055,0.00016607126,0.00019412847,0.00009150292,0.000025472471,0.00009427969,0.00016642566,0.0008378086,0.000008504699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031562545,0.0007108424,0.014772329,0.0058987513,0.012291483,0.0005683493,0.00588178,0.44468403,0.062158972,0.0024755395,0.08717704,0.36306527],"study_design_scores_gemma":[0.0033195158,0.0014081299,0.013251641,0.0044119493,0.0019612366,0.0010503992,0.0012461429,0.18484916,0.16218323,0.38511303,0.23636307,0.0048425035],"about_ca_topic_score_codex":0.0000013830482,"about_ca_topic_score_gemma":6.262994e-7,"teacher_disagreement_score":0.3826375,"about_ca_system_score_codex":0.000095300595,"about_ca_system_score_gemma":0.000021361411,"threshold_uncertainty_score":0.6772189},"labels":[],"label_agreement":null},{"id":"W2809169668","doi":"","title":"On the Formalization of Cardinal Points of Optical Systems.","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Soundness; Computer science; Pencil (optics); Mathematical proof; Automated theorem proving; Computer vision; Artificial intelligence; Algorithm; Programming language; Optics; Mathematics; Physics","score_opus":0.018395735368078658,"score_gpt":0.2394151898043804,"score_spread":0.22101945443630175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809169668","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.049215987,0.000047452522,0.91255224,0.000036049998,0.000030987758,0.00008319382,0.0000015193151,0.00011744288,0.037915118],"genre_scores_gemma":[0.99618274,0.0000041111034,0.0037548016,0.0000074628933,0.0000073269916,0.000004739593,0.0000012821926,0.000005483143,0.000032034546],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963224,0.000009952712,0.00014206146,0.000033474982,0.0001298851,0.00005240047],"domain_scores_gemma":[0.99974245,0.000041587777,0.000020183536,0.00011396209,0.000058755642,0.000023044098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000105064144,0.000040158688,0.000112472095,0.000027917957,0.00000412651,0.0000020010193,0.00005926695,0.000020623454,0.000010481267],"category_scores_gemma":[0.000060772585,0.000023792445,0.00003047111,0.000118656724,0.00001931284,0.00003936333,0.000010912625,0.000030603056,0.000004028397],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023650508,0.000045307697,0.00054661115,0.000110105524,0.000110778325,9.4072533e-7,0.00013289328,0.31875446,0.0047478788,0.6665667,0.0072814715,0.0016791828],"study_design_scores_gemma":[0.00023497989,0.00025690463,0.00027771108,0.0000821662,0.000058069763,0.0000043087957,0.00037027718,0.7346487,0.2510537,0.0109220445,0.0019019273,0.00018919967],"about_ca_topic_score_codex":0.000009941809,"about_ca_topic_score_gemma":5.3724824e-7,"teacher_disagreement_score":0.94696677,"about_ca_system_score_codex":0.00001942482,"about_ca_system_score_gemma":0.000002645054,"threshold_uncertainty_score":0.09702278},"labels":[],"label_agreement":null},{"id":"W2809769628","doi":"10.1145/3197517.3201359","title":"Blended cured quasi-newton for distortion optimization","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Broyden–Fletcher–Goldfarb–Shanno algorithm; Distortion (music); Line search; Computer science; Gradient descent; Laplace operator; Mathematical optimization; Convergence (economics); Norm (philosophy); Algorithm; Geometry processing; Polygon mesh; Mathematics; Artificial intelligence; Mathematical analysis","score_opus":0.014755465134683515,"score_gpt":0.2647259891890033,"score_spread":0.2499705240543198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809769628","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000726283,0.000029139615,0.9974578,0.00033530727,0.00019340681,0.00022146295,0.00002500482,0.0008945774,0.00011701379],"genre_scores_gemma":[0.853695,0.00029217335,0.14549454,0.000101889746,0.00007348256,0.00016667858,0.000041217896,0.000050671453,0.00008437328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928594,0.000013269767,0.00020755158,0.0001877961,0.00012752766,0.00017789303],"domain_scores_gemma":[0.9993494,0.000069620226,0.000033144228,0.00038474085,0.00010554838,0.00005752341],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000062953055,0.00014291864,0.00014576635,0.00021962132,0.00017412576,0.000015441328,0.00015551537,0.000109099106,0.000050777675],"category_scores_gemma":[0.000027222488,0.00014817071,0.00013873493,0.00057695317,0.00007242149,0.00017638001,0.0000014028018,0.00013524415,0.000007228206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020037811,0.0006340969,0.00005553038,0.00014034088,0.00041882202,0.0000011740824,0.00035101673,0.8293451,0.0063574165,0.0031402328,0.002596806,0.15675907],"study_design_scores_gemma":[0.0006089494,0.00072460226,0.000095373376,0.000044312666,0.0002396599,0.0000029936589,0.000041972045,0.86067396,0.09099501,0.028053159,0.017932754,0.0005872228],"about_ca_topic_score_codex":0.0000066513203,"about_ca_topic_score_gemma":0.00005477663,"teacher_disagreement_score":0.8529687,"about_ca_system_score_codex":0.00006287655,"about_ca_system_score_gemma":0.000006894638,"threshold_uncertainty_score":0.60422266},"labels":[],"label_agreement":null},{"id":"W2809953144","doi":"10.1145/3197517.3201338","title":"DSCarver","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Carving; Machining; Tool path; Computer science; Surface (topology); Curvature; Numerical control; Spiral (railway); Path (computing); Engineering drawing; Geometry; Mechanical engineering; Mathematics; Engineering","score_opus":0.012614053179615139,"score_gpt":0.2502125801800868,"score_spread":0.23759852700047165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809953144","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011816595,0.000030530457,0.98475415,0.00015678896,0.00013015249,0.00005387282,0.0000068858485,0.0010764262,0.0019746132],"genre_scores_gemma":[0.97979116,0.00018370102,0.019661946,0.000181073,0.000044285083,0.000020570498,0.0000016466462,0.000027254448,0.00008837342],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99948305,0.000008718391,0.000116662784,0.0001246194,0.00011424863,0.00015272843],"domain_scores_gemma":[0.9994086,0.000043501124,0.00000942189,0.00044191306,0.00004182279,0.000054733948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003570785,0.000106513624,0.000102061254,0.00016535397,0.00009340348,0.000010622311,0.00018820385,0.00006910528,0.00018642486],"category_scores_gemma":[0.00000785591,0.000102822065,0.0000996281,0.0006183316,0.000094159055,0.00010200207,0.0000016453213,0.00018938033,0.000114631584],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009719761,0.00069735403,0.0010059649,0.00012164661,0.0012613448,0.000024638266,0.0008107191,0.025835259,0.030929204,0.009833294,0.012721233,0.91666216],"study_design_scores_gemma":[0.00083482184,0.00090223877,0.0043046004,0.000095949916,0.0003609341,0.00002889723,0.00011042539,0.05342991,0.4878734,0.12075714,0.3294562,0.001845447],"about_ca_topic_score_codex":0.0000049316086,"about_ca_topic_score_gemma":0.00003392317,"teacher_disagreement_score":0.96797454,"about_ca_system_score_codex":0.000020842786,"about_ca_system_score_gemma":0.0000026064138,"threshold_uncertainty_score":0.4192962},"labels":[],"label_agreement":null},{"id":"W2820985545","doi":"10.3390/a11070104","title":"The Gradient and the Hessian of the Distance between Point and Triangle in 3D","year":2018,"lang":"en","type":"article","venue":"Algorithms","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Hessian matrix; Point (geometry); Computation; Mathematics; Space (punctuation); Algorithm; Combinatorics; Geometry; Mathematical analysis; Computer science; Applied mathematics","score_opus":0.0050633926883951975,"score_gpt":0.22057641395743985,"score_spread":0.21551302126904465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2820985545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5262216,0.014202783,0.43834332,0.010286338,0.00048293953,0.0018805207,0.00005340501,0.00043660926,0.008092532],"genre_scores_gemma":[0.9970973,0.00023523551,0.002510788,0.000024754152,0.00005615593,0.000017742559,3.4622235e-7,0.000008749324,0.000048894915],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950814,0.000041471645,0.00016253394,0.00008646074,0.000082555045,0.000118828524],"domain_scores_gemma":[0.9995299,0.0001873724,0.00003625207,0.0002126916,0.00001331791,0.000020481228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023987338,0.00007137773,0.00015596749,0.000015293812,0.000087857494,0.000014020379,0.00014208506,0.000022350605,0.0000017530706],"category_scores_gemma":[0.000042121665,0.00003076929,0.00003112873,0.00019957605,0.0004376008,0.00004039232,0.00005610828,0.00009777734,6.137823e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044807897,0.000025451762,0.013005235,0.000036430658,0.00016096397,0.0000027389071,0.0027097089,0.00010453476,0.00021969483,0.008067698,0.00045381222,0.97516894],"study_design_scores_gemma":[0.005870521,0.0003964764,0.27542302,0.00040711372,0.00034491302,0.000021935059,0.0016705833,0.31335515,0.02969412,0.2398511,0.13182145,0.0011436044],"about_ca_topic_score_codex":0.00005056127,"about_ca_topic_score_gemma":0.000093314695,"teacher_disagreement_score":0.9740253,"about_ca_system_score_codex":0.000017689374,"about_ca_system_score_gemma":0.0000021607527,"threshold_uncertainty_score":0.16123584},"labels":[],"label_agreement":null},{"id":"W2851338241","doi":"10.1142/s259172851850024x","title":"Implementation of Isogeometric Fast Multipole Boundary Element Methods for 2D Half-Space Acoustic Scattering Problems with Absorbing Boundary Condition","year":2018,"lang":"en","type":"article","venue":"Journal of Theoretical and Computational Acoustics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Xinyang Normal University; Science and Technology Department of Henan Province; Canadian Bureau for International Education; Henan University; Nanhu Scholars Program for Young Scholars of Xinyang Normal University; National Natural Science Foundation of China","keywords":"Isogeometric analysis; Boundary element method; Multipole expansion; Boundary (topology); Basis function; Singular boundary method; Fast multipole method; Computer science; Computer Aided Design; Boundary value problem; CAD; Finite element method; Mathematical analysis; Mathematics; Physics; Structural engineering; Engineering; Engineering drawing","score_opus":0.007738823387266916,"score_gpt":0.31467970168903925,"score_spread":0.30694087830177236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2851338241","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08465412,0.00016599034,0.9146997,0.00013043973,0.00006959609,0.0001976129,0.000018651754,0.000033796194,0.000030115934],"genre_scores_gemma":[0.60826296,0.000026932044,0.39154977,0.00003357662,0.00009013136,0.000008186878,0.000009862718,0.000016678181,0.000001946357],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876904,0.00003595779,0.0005897723,0.0001263229,0.00027974666,0.00019914644],"domain_scores_gemma":[0.99850285,0.0005006724,0.0002836498,0.00006590237,0.0005559674,0.000090951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004225976,0.00016090563,0.00032682583,0.00027756343,0.00012423922,0.000055658882,0.00010900694,0.00004759371,0.000048971175],"category_scores_gemma":[0.000062546686,0.00012830636,0.00008035429,0.00032796836,0.00047232743,0.00016706825,0.000035697776,0.00014744834,6.594945e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020351545,0.00015880844,0.0003478528,0.00058868434,0.000554473,0.000004460972,0.00051900186,0.7176978,0.09747941,0.016082166,0.00018280913,0.16618103],"study_design_scores_gemma":[0.0010305581,0.0014956574,0.0012871139,0.00016683199,0.00037504942,0.00009275871,0.0005335441,0.7847682,0.016132338,0.19348843,0.00036877985,0.00026069864],"about_ca_topic_score_codex":0.0000021763717,"about_ca_topic_score_gemma":0.0000011511089,"teacher_disagreement_score":0.5236088,"about_ca_system_score_codex":0.00008945334,"about_ca_system_score_gemma":0.000039873496,"threshold_uncertainty_score":0.52321815},"labels":[],"label_agreement":null},{"id":"W286922016","doi":"","title":"Distance Calculation Between a Point and a NURBS Surface","year":2000,"lang":"en","type":"article","venue":"Defense Technical Information Center (DTIC)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subdivision; Mathematics; Surface (topology); Algorithm; Bézier curve; Point (geometry); Non-Euclidean geometry; Subdivision surface; Computation; Euclidean geometry; Computational geometry; Mathematical optimization; Geometry","score_opus":0.007666738819581172,"score_gpt":0.2300763307177951,"score_spread":0.22240959189821394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W286922016","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2640229,0.00009047428,0.7188757,0.00031070507,0.000032919015,0.00043411832,0.00007385326,0.0024609691,0.013698352],"genre_scores_gemma":[0.98656374,0.000112048416,0.012900056,0.00019537672,0.00002160979,0.000017125283,0.00013242329,0.000016790646,0.000040804825],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988792,0.000018504143,0.0005189909,0.00012432566,0.00021052969,0.0002484745],"domain_scores_gemma":[0.9994717,0.00005579969,0.00005381803,0.00025271962,0.000044930017,0.000121021185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001219597,0.00018139828,0.00023947656,0.00007304562,0.00006125302,0.00006183372,0.000114011236,0.00011744486,0.0001122896],"category_scores_gemma":[0.00003196408,0.00017049671,0.000074309464,0.00030547226,0.00006845138,0.0009704695,0.000031044816,0.00021605784,0.000146762],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002928107,0.0003118581,0.034040086,0.00076321466,0.00040328124,0.000021786693,0.0023986138,0.09117554,0.00392327,0.011515203,0.029956782,0.8251976],"study_design_scores_gemma":[0.0024944562,0.00025852697,0.08175472,0.00035561048,0.00020714663,0.00010896895,0.000074562784,0.28708625,0.006911075,0.008573317,0.60993713,0.002238207],"about_ca_topic_score_codex":0.000010086691,"about_ca_topic_score_gemma":0.00000394779,"teacher_disagreement_score":0.82295936,"about_ca_system_score_codex":0.00010962399,"about_ca_system_score_gemma":0.0000035624553,"threshold_uncertainty_score":0.6952655},"labels":[],"label_agreement":null},{"id":"W2885910631","doi":"10.1016/j.promfg.2018.07.001","title":"3D representation and CNC machining of 2D digital images","year":2018,"lang":"en","type":"article","venue":"Procedia Manufacturing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Thapar Institute of Engineering and Technology; University of Waterloo","keywords":"Machining; Representation (politics); Engineering drawing; Computer science; Numerical control; Computer vision; Computer graphics (images); Engineering; Artificial intelligence; Mechanical engineering","score_opus":0.007586025475706346,"score_gpt":0.24261642122169724,"score_spread":0.23503039574599088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885910631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89778274,0.00015468543,0.093169846,0.000018298799,0.00005218597,0.00009712142,0.000005581514,0.00054157403,0.008177942],"genre_scores_gemma":[0.98481643,0.00004305119,0.014958041,0.000008220813,0.000088186694,0.0000089970545,0.0000045008746,0.000021686423,0.00005085514],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99942404,0.000003320531,0.00017410945,0.00015707925,0.00010082185,0.000140651],"domain_scores_gemma":[0.99973214,0.000043090306,0.000042724605,0.00011623757,0.000023709368,0.000042079602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003489601,0.00010483412,0.00014628575,0.00008521056,0.000033964323,0.000034048215,0.00007462925,0.00003103862,0.00001827367],"category_scores_gemma":[0.000053594886,0.00009945136,0.000027936389,0.00007328847,0.000067521876,0.00041658457,0.0000559468,0.000070682334,0.000006132851],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003525471,0.000035859237,0.012780282,0.00050693913,0.00015695998,0.000010517799,0.0015674797,0.0020601663,0.09624996,0.00007513216,0.00048132468,0.88604015],"study_design_scores_gemma":[0.00007784754,0.000028333621,0.0046030907,0.000027011612,0.000014950644,0.000007745552,0.000047407317,0.0066582016,0.9862788,0.0017097521,0.00041160246,0.00013528399],"about_ca_topic_score_codex":0.000004866148,"about_ca_topic_score_gemma":0.000001082543,"teacher_disagreement_score":0.89002883,"about_ca_system_score_codex":0.000017223763,"about_ca_system_score_gemma":0.000002274914,"threshold_uncertainty_score":0.40555087},"labels":[],"label_agreement":null},{"id":"W2887591026","doi":"","title":"Lois de paroi pour les écoulements turbulents présentant des gradients de pression adverses","year":2018,"lang":"fr","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Physics; Philosophy","score_opus":0.012557306983894673,"score_gpt":0.2591293567650684,"score_spread":0.2465720497811737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887591026","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32814425,0.0060689226,0.6600282,0.0020695718,0.0002914252,0.0007782094,0.00013642806,0.001651591,0.0008313832],"genre_scores_gemma":[0.6134565,0.0034452672,0.3766777,0.0006705012,0.0007059138,0.0004917359,0.000040897903,0.00023096293,0.0042805304],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9943291,0.00040274396,0.0010806662,0.0009457333,0.0006936463,0.0025481111],"domain_scores_gemma":[0.996856,0.00018096408,0.00041561117,0.0012114383,0.000314258,0.0010217801],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008452882,0.000995238,0.000892021,0.0006616968,0.0007000148,0.00022116203,0.0011155884,0.00079533766,0.0005433411],"category_scores_gemma":[0.00049592374,0.0010678022,0.0004939854,0.0011057184,0.00066538074,0.0010613877,0.0005751148,0.0009843525,0.00014550917],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042972164,0.0019471,0.4664915,0.0009187135,0.00116118,0.000536771,0.0032820413,0.020240702,0.13083076,0.0076390323,0.02969096,0.33683154],"study_design_scores_gemma":[0.0014676023,0.0006721374,0.08121811,0.0018285788,0.000682723,0.0003499102,0.0007084042,0.40720314,0.4239135,0.035677183,0.04415089,0.0021278304],"about_ca_topic_score_codex":0.027640663,"about_ca_topic_score_gemma":0.003996017,"teacher_disagreement_score":0.38696244,"about_ca_system_score_codex":0.0052983244,"about_ca_system_score_gemma":0.00027325822,"threshold_uncertainty_score":0.9991772},"labels":[],"label_agreement":null},{"id":"W2891034877","doi":"10.48550/arxiv.1809.04555","title":"A rapid and well-conditioned algorithm for the Helmholtz--Hodge decomposition of vector fields on the sphere","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Decomposition; Helmholtz free energy; Helmholtz equation; Mathematics; Algorithm; Mathematical analysis; Algebra over a field; Pure mathematics; Computer science; Applied mathematics; Physics; Biology; Ecology; Quantum mechanics","score_opus":0.03237603631507837,"score_gpt":0.20043798556885215,"score_spread":0.16806194925377377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891034877","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.071346015,0.00015690301,0.92668885,0.00012371659,0.00013332586,0.00049664103,0.000060910916,0.00018363216,0.00081000815],"genre_scores_gemma":[0.99564326,0.0006181028,0.0033579639,0.00007407267,0.00009805428,0.000009964506,0.000027417665,0.000024703375,0.00014647488],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993041,0.00004359441,0.00014722704,0.00030211481,0.000050525796,0.00015240895],"domain_scores_gemma":[0.9988873,0.0004196377,0.00010483345,0.00046542072,0.00008188228,0.000040908548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011277555,0.00020111287,0.00024237751,0.00006493836,0.00012958808,0.000019647858,0.00033209583,0.00017860055,0.0001416707],"category_scores_gemma":[0.000016188693,0.00014834387,0.00017761625,0.00018712544,0.00015826162,0.0000620223,0.00015030148,0.00029585027,0.000008352528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060562126,0.00058743183,0.00038481082,0.0013335142,0.0051377784,0.000089922054,0.0012299207,0.75788325,0.00343636,0.0676375,0.030767009,0.13090685],"study_design_scores_gemma":[0.00031879445,0.00019057193,0.00038804804,0.0001356404,0.00034450018,0.0000017273969,0.00013101162,0.9465505,0.013279018,0.035722584,0.0025895028,0.0003481065],"about_ca_topic_score_codex":0.000023491162,"about_ca_topic_score_gemma":0.000014229109,"teacher_disagreement_score":0.9242972,"about_ca_system_score_codex":0.00006715465,"about_ca_system_score_gemma":0.000010539008,"threshold_uncertainty_score":0.60492873},"labels":[],"label_agreement":null},{"id":"W2897094968","doi":"10.1007/s00170-018-2871-3","title":"A method for generating multiple solutions for multipoint five-axis tool positioning","year":2018,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Machine tool; Point (geometry); Surface (topology); Position (finance); Flexibility (engineering); Process (computing); Computer science; Tilt (camera); Algorithm; Engineering drawing; Mechanical engineering; Engineering; Geometry; Mathematics","score_opus":0.012663347605836697,"score_gpt":0.2943347541749306,"score_spread":0.2816714065690939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897094968","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11719573,0.00013044018,0.88009965,0.0016023765,0.00038827243,0.0002832423,0.000024217528,0.0002562273,0.000019826306],"genre_scores_gemma":[0.38382646,0.000038117872,0.61555254,0.00010460178,0.00032632882,0.00009100049,0.0000045247957,0.000025918194,0.00003053139],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99879694,0.00001455455,0.00053474546,0.00015886687,0.00018372555,0.00031118662],"domain_scores_gemma":[0.9984822,0.00048444647,0.00028481308,0.00019281455,0.0005247103,0.00003096302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038188612,0.00016654274,0.0002605386,0.0003565224,0.0002387955,0.00003562922,0.00071107695,0.00009621537,0.000009391647],"category_scores_gemma":[0.0004599315,0.00013114729,0.00020204046,0.00010559806,0.00010489742,0.0002363448,0.00012459543,0.00025256968,0.0000020543296],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017026254,0.000035399204,0.000008739564,0.000015068532,0.00040420008,0.0000038237395,0.00011281512,0.2594705,0.46592325,0.0021852416,0.0005581385,0.2711126],"study_design_scores_gemma":[0.00068611087,0.00020026819,0.000018674298,0.00005485639,0.000041088002,0.000103798,0.0001254631,0.18760799,0.7663699,0.03375807,0.010885557,0.0001482462],"about_ca_topic_score_codex":0.000004112831,"about_ca_topic_score_gemma":0.000019371288,"teacher_disagreement_score":0.30044663,"about_ca_system_score_codex":0.00022878294,"about_ca_system_score_gemma":0.000016583966,"threshold_uncertainty_score":0.5348031},"labels":[],"label_agreement":null},{"id":"W2899355548","doi":"10.1115/detc2018-85464","title":"Methods and Analysis of 3D Shape Unfolding and Folding for Radiotherapy","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CancerCare Manitoba; University of Manitoba","funders":"","keywords":"Bolus (digestion); Computer science; Software; Segmentation; Materials science; Computer vision; Medicine; Anatomy","score_opus":0.01725920988639023,"score_gpt":0.3591021726863714,"score_spread":0.34184296279998116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899355548","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.091798596,0.0007804855,0.9068336,0.000014120204,0.000010765679,0.0000686914,0.0000024295998,0.00015988703,0.0003314271],"genre_scores_gemma":[0.3483998,0.0002053699,0.65131426,0.00002595152,0.000016606133,0.000007922824,0.000001127187,0.000011419086,0.000017539378],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995029,0.000014023996,0.00017784086,0.00014262984,0.000044085533,0.00011853791],"domain_scores_gemma":[0.9995781,0.00020373739,0.000029917845,0.0001125758,0.000035801633,0.00003987303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021054209,0.00009174205,0.00033343982,0.00026243328,0.000032932167,0.000011838479,0.00004891074,0.00004014136,0.00006982595],"category_scores_gemma":[0.000033529286,0.00007852557,0.000062742285,0.00057555037,0.000060520124,0.00008688848,0.000016289932,0.000027985536,6.1048596e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011240289,0.000007393071,0.0029153524,0.000046760906,0.0017254788,1.4979895e-7,0.00021188443,0.0008900191,0.34080637,0.0016918861,0.000062571045,0.6516309],"study_design_scores_gemma":[0.000093591516,0.00005175983,0.0006862634,0.000005310947,0.00040140178,4.4009838e-7,0.000021827516,0.9015604,0.09455012,0.0006701918,0.0018491576,0.00010952853],"about_ca_topic_score_codex":0.0000073805936,"about_ca_topic_score_gemma":0.000005241709,"teacher_disagreement_score":0.9006704,"about_ca_system_score_codex":0.00001638707,"about_ca_system_score_gemma":0.0000011057822,"threshold_uncertainty_score":0.320218},"labels":[],"label_agreement":null},{"id":"W2899456905","doi":"10.1090/pcms/024","title":"Geometry of Moduli Spaces and Representation Theory","year":2017,"lang":"en","type":"book","venue":"IAS/Park City mathematics series","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Perimeter Institute","funders":"","keywords":"Representation (politics); Moduli space; Geometry; Representation theory; Mathematics; Moduli; Pure mathematics; Algebra over a field; Computer science; Physics; Political science; Quantum mechanics","score_opus":0.01878469648869516,"score_gpt":0.2660952417737522,"score_spread":0.24731054528505705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899456905","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011789561,0.0033763247,0.29548696,0.000067842586,0.00024365212,0.00087430706,0.00019609189,0.0011976503,0.68676764],"genre_scores_gemma":[0.031139044,0.005749596,0.1663189,0.000014267897,0.00028596006,0.000093343646,0.00013483822,0.00029165894,0.7959724],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99881023,0.000020360372,0.00045807727,0.0002494036,0.00028363575,0.00017832102],"domain_scores_gemma":[0.9984405,0.00021638737,0.00036605567,0.00082396733,0.000090462956,0.00006260344],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023452687,0.00033540945,0.0008065084,0.00019659955,0.00008354073,0.000066611254,0.0003122216,0.00024909058,0.00006735206],"category_scores_gemma":[0.00031303923,0.00031957572,0.0001388706,0.000074479474,0.0003743837,0.00024233172,0.00015308127,0.0002504171,0.000007044836],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003351322,0.0006962,0.0015556123,0.050041363,0.008779093,0.00014471523,0.020997737,0.010299136,0.0131012285,0.67334056,0.13134865,0.08936058],"study_design_scores_gemma":[0.000113786424,0.00007157749,0.00012387558,0.0006758121,0.00030927753,0.000021430635,0.00020614431,0.0012976138,0.019135823,0.96357197,0.013839788,0.00063290604],"about_ca_topic_score_codex":0.0000033300419,"about_ca_topic_score_gemma":0.000008175329,"teacher_disagreement_score":0.2902314,"about_ca_system_score_codex":0.00005429204,"about_ca_system_score_gemma":0.000022393471,"threshold_uncertainty_score":0.9999256},"labels":[],"label_agreement":null},{"id":"W2901239619","doi":"10.1016/j.cja.2018.11.006","title":"An automated approach to calculating the maximum diameters of multiple cutters and their paths for sectional milling of centrifugal impellers on a 4½-axis CNC machine","year":2018,"lang":"en","type":"article","venue":"Chinese Journal of Aeronautics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"National Science and Technology Major Project; National Natural Science Foundation of China","keywords":"Impeller; Cutter location; Machining; Mechanical engineering; Centrifugal compressor; Blade (archaeology); Machine tool; Engineering; Engineering drawing; Numerical control; Turbine blade; Structural engineering; Turbine","score_opus":0.011415588520898152,"score_gpt":0.26617301374280933,"score_spread":0.2547574252219112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901239619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7033392,0.000078311234,0.29622385,0.000036799862,0.000072583,0.00014490436,0.000038799517,0.000050347746,0.000015149769],"genre_scores_gemma":[0.9112919,0.000019172357,0.088497534,0.000041661195,0.00010642871,0.000003338316,0.0000073144065,0.00003177851,8.439429e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988142,0.00004159438,0.0006141579,0.00012853408,0.0002067315,0.00019477184],"domain_scores_gemma":[0.998955,0.00028046485,0.00027877686,0.0001835652,0.00019038607,0.00011182063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035067156,0.00020867326,0.00042870583,0.00017798801,0.000076710516,0.000013314781,0.00021362412,0.000063984255,0.0000024754097],"category_scores_gemma":[0.00020571687,0.000119789496,0.00017303685,0.0003194898,0.00011396537,0.00010496999,0.000030113637,0.0001921569,1.369098e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005177063,0.00034052876,0.020919828,0.0002306753,0.0006677659,0.0000019099318,0.0044314014,0.6536456,0.30717278,0.000044278753,0.00013839941,0.011889176],"study_design_scores_gemma":[0.0005215225,0.0006784454,0.004920659,0.000057609388,0.00004516575,0.000026605143,0.00022024264,0.96003413,0.032705456,0.00060567696,0.000041156305,0.00014334302],"about_ca_topic_score_codex":0.000011596534,"about_ca_topic_score_gemma":0.0000063764323,"teacher_disagreement_score":0.30638856,"about_ca_system_score_codex":0.0000654333,"about_ca_system_score_gemma":0.000015229121,"threshold_uncertainty_score":0.48848736},"labels":[],"label_agreement":null},{"id":"W2902215720","doi":"10.1109/hpec.2018.8547522","title":"A Parallel Implementation of FANO using OpenMP and MPI","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Foundation for Research and Technology-Hellas; Leukemia and Lymphoma Society of Canada","keywords":"Computer science; Parallel computing; Jacobian matrix and determinant; Message Passing Interface; Code (set theory); Fano plane; Software; Message passing; Minification; Implementation; Computational science; Algorithm; Set (abstract data type); Mathematics; Programming language","score_opus":0.017112168627825195,"score_gpt":0.328405489421894,"score_spread":0.3112933207940688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902215720","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35722336,0.0000253312,0.6413591,0.000009664452,0.000006903821,0.00004819342,9.116349e-7,0.00009621768,0.0012303187],"genre_scores_gemma":[0.8335254,0.00001581559,0.16640697,0.000016756792,0.000012044558,0.0000020976129,8.5121e-7,0.000005515228,0.000014518193],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997413,0.0000034326617,0.00010054628,0.000052827447,0.000039354432,0.00006250128],"domain_scores_gemma":[0.9998845,0.0000060589023,0.000014031603,0.000059332648,0.000019020394,0.000017049266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002491068,0.000040696064,0.000075264754,0.00003104014,0.000013077249,0.0000043799178,0.00002904511,0.000012527454,0.000161521],"category_scores_gemma":[0.000001925195,0.000035564666,0.000012124133,0.00008700536,0.000024866296,0.0000873435,0.000018373545,0.000015485533,0.0000021529231],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000118114085,0.000024559109,0.013697425,0.000082698,0.00016898292,0.0000019249185,0.00068587397,0.0027100544,0.7914403,0.005032108,0.0011956053,0.18494864],"study_design_scores_gemma":[0.00036190636,0.00013138028,0.005036059,0.000015603573,0.000049242688,0.0000053219264,0.000494062,0.15129016,0.83497965,0.0046307826,0.0027366385,0.00026920004],"about_ca_topic_score_codex":0.000089565394,"about_ca_topic_score_gemma":0.00003802057,"teacher_disagreement_score":0.47630206,"about_ca_system_score_codex":0.000010844596,"about_ca_system_score_gemma":0.0000016421058,"threshold_uncertainty_score":0.17685418},"labels":[],"label_agreement":null},{"id":"W2902857675","doi":"10.1145/3272127.3275042","title":"OptCuts","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada; Skolkovo Institute of Science and Technology; National Science Foundation","keywords":"Distortion (music); Embedding; Upper and lower bounds; Computer science; Scalability; Algorithm; Bijection; Benchmark (surveying); Distortion function; Range (aeronautics); Scratch; Discontinuity (linguistics); Surface (topology); Topology (electrical circuits); Mathematics; Geometry; Artificial intelligence; Discrete mathematics; Mathematical analysis","score_opus":0.01316880082188389,"score_gpt":0.2554402378666854,"score_spread":0.2422714370448015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902857675","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007855516,0.000033530614,0.9887734,0.00019517967,0.00013167867,0.00005769927,0.0000063780853,0.0011469666,0.001799672],"genre_scores_gemma":[0.97266215,0.00021375294,0.02670854,0.00024605315,0.000042469062,0.000023483302,0.0000017079847,0.000027466232,0.000074357784],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99947053,0.00000837591,0.000121394805,0.00012753942,0.00011445475,0.00015772869],"domain_scores_gemma":[0.9993963,0.00004786114,0.000010019764,0.0004458433,0.000040768886,0.000059171995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000034829223,0.000108935106,0.00010567097,0.00017493113,0.000100863814,0.000010760205,0.00020222076,0.000067111156,0.00013917894],"category_scores_gemma":[0.000009307698,0.000106082814,0.00009049221,0.0006385759,0.000094865805,0.00009625473,0.0000016771501,0.00019332103,0.00010155039],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090222136,0.00067432097,0.00040360002,0.00012432139,0.0010619512,0.00002709099,0.00082240824,0.030901233,0.034112122,0.008757123,0.008358201,0.9146674],"study_design_scores_gemma":[0.00077776064,0.0009689483,0.0017590363,0.0001107331,0.00032067136,0.00003293103,0.00010462529,0.06571318,0.53773296,0.1641193,0.22663699,0.001722881],"about_ca_topic_score_codex":0.0000044884896,"about_ca_topic_score_gemma":0.000026580185,"teacher_disagreement_score":0.9648067,"about_ca_system_score_codex":0.000021155663,"about_ca_system_score_gemma":0.0000028657566,"threshold_uncertainty_score":0.43259317},"labels":[],"label_agreement":null},{"id":"W2905722916","doi":"10.1007/s41095-018-0127-7","title":"Deforming generalized cylinders without self-intersection by means of a parametric center curve","year":2018,"lang":"en","type":"article","venue":"Computational Visual Media","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institutes of Health; Stony Brook University; McGill University","keywords":"Intersection (aeronautics); Center (category theory); Parametric equation; Geometry; Parametric statistics; Mathematics; Computer graphics (images); Computer science; Engineering; Statistics; Chemistry","score_opus":0.010481318288841149,"score_gpt":0.2816372800699554,"score_spread":0.2711559617811143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905722916","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43719622,0.000050521685,0.5618829,0.000010504735,0.00014078994,0.000082074446,0.000010135203,0.00043425566,0.00019256082],"genre_scores_gemma":[0.9200031,0.000011842149,0.07968639,0.00004754366,0.000119018914,0.000013102903,0.00008924727,0.000025449168,0.0000042734455],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990316,0.000031286174,0.0003130972,0.0001673679,0.00028268428,0.00017393465],"domain_scores_gemma":[0.99947846,0.000139916,0.00007810391,0.000070921444,0.00015506253,0.00007753342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008685274,0.00014115623,0.00022511084,0.00022887428,0.00003830152,0.000011018222,0.000098245815,0.000060646373,0.000041373958],"category_scores_gemma":[0.000058113943,0.0001351871,0.000079653364,0.0005515456,0.000078349556,0.00013914192,0.000024188475,0.00010307966,0.000020873349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005761248,0.002572485,0.10031614,0.00068563886,0.00337642,0.000018763794,0.013115743,0.61102,0.032782894,0.0034755452,0.02705014,0.20501006],"study_design_scores_gemma":[0.00047928194,0.0001216558,0.0014839005,0.00002557559,0.000032623862,0.0000054471525,0.000065328546,0.9856221,0.009145717,0.0021914253,0.00063290674,0.00019404263],"about_ca_topic_score_codex":0.000009858199,"about_ca_topic_score_gemma":0.0000068956892,"teacher_disagreement_score":0.48280692,"about_ca_system_score_codex":0.00012078766,"about_ca_system_score_gemma":0.000012001301,"threshold_uncertainty_score":0.551277},"labels":[],"label_agreement":null},{"id":"W2912490592","doi":"10.1115/1.4042606","title":"A Real-Time C3 Continuous Local Corner Smoothing and Interpolation Algorithm for CNC Machine Tools","year":2019,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Jerk; Smoothing; Algorithm; Interpolation (computer graphics); Spline (mechanical); Curvature; Numerical control; Spline interpolation; Smoothing spline; Machine tool; Computer science; Mathematics; Machining; Acceleration; Mathematical optimization; Geometry; Artificial intelligence; Engineering; Computer vision; Bilinear interpolation","score_opus":0.004549534898280791,"score_gpt":0.21266094180645242,"score_spread":0.20811140690817165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912490592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52943504,0.000116524396,0.470095,0.000020190357,0.00010632423,0.000083203864,0.0000019209206,0.00007671526,0.00006509025],"genre_scores_gemma":[0.91367555,0.0001206934,0.08608601,0.000013088607,0.000059140824,0.000002404468,6.0845434e-7,0.000019432298,0.00002308184],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990929,0.0000037613368,0.0002943703,0.00014165668,0.00022978279,0.00023758132],"domain_scores_gemma":[0.9995299,0.00011185755,0.00008346293,0.00008984601,0.00007272441,0.00011222001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005213508,0.00013966457,0.00028034433,0.00026784113,0.000051833507,0.00011195411,0.00014393458,0.000042968913,0.000006425025],"category_scores_gemma":[0.00005421636,0.0001178184,0.000048364087,0.00012599546,0.000057722165,0.0008349454,0.000043024094,0.00018257851,0.0000012254652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014370485,0.000010274344,0.0000989495,0.00012150583,0.00005245337,0.000009302401,0.0002566484,0.08831869,0.2995042,0.00003902422,0.000036237336,0.61153835],"study_design_scores_gemma":[0.00025072944,0.00010868186,0.0014089369,0.00011746944,0.000021556447,0.00007913899,0.000047652968,0.92158157,0.07530119,0.00010520497,0.00080355274,0.00017433491],"about_ca_topic_score_codex":0.000006116152,"about_ca_topic_score_gemma":2.2976224e-7,"teacher_disagreement_score":0.83326286,"about_ca_system_score_codex":0.0000896888,"about_ca_system_score_gemma":0.000011685242,"threshold_uncertainty_score":0.4804495},"labels":[],"label_agreement":null},{"id":"W2940408345","doi":"10.1007/s00366-019-00743-y","title":"Fast update of sliced voxel workpiece models using partitioned swept volumes of three-axis linear tool paths","year":2019,"lang":"en","type":"article","venue":"Engineering With Computers","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Voxel; Computer science; Algorithm; Engineering drawing; Mathematics; Geometry; Computer vision; Engineering","score_opus":0.007089014473304798,"score_gpt":0.19106092218702267,"score_spread":0.18397190771371788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940408345","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35511047,0.00009162972,0.64421755,0.000006032586,0.00009252485,0.00013174079,0.0000066084335,0.00032766536,0.00001579277],"genre_scores_gemma":[0.71894586,0.000013666947,0.2809344,0.000008805363,0.000027361799,0.0000073098013,0.000008165074,0.00004958066,0.0000048595552],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882853,0.00000850206,0.00040983877,0.00022924696,0.0002417507,0.00028215966],"domain_scores_gemma":[0.99928916,0.0000664654,0.00009749397,0.00039728827,0.000085278116,0.00006434137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000077581964,0.0002538857,0.0004957987,0.00018658816,0.000016660833,0.000010886393,0.0002222073,0.00007129423,0.000015804382],"category_scores_gemma":[0.000007830064,0.00024498173,0.000110984496,0.0005224385,0.000031680593,0.00028940133,0.00005952157,0.00017212002,0.0000053851927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011728427,0.000018931427,0.00046473762,0.00015419062,0.00013277943,0.0000020637626,0.00007018236,0.98319095,0.013846352,0.00021396851,0.000022633885,0.0018714527],"study_design_scores_gemma":[0.0002483768,0.00006623409,0.00023444716,0.00028902618,0.000035939658,0.0000031289403,0.00000823547,0.9824101,0.016236348,0.000080349906,0.00010758587,0.00028025135],"about_ca_topic_score_codex":0.000013613169,"about_ca_topic_score_gemma":0.0000018237058,"teacher_disagreement_score":0.36383542,"about_ca_system_score_codex":0.000060624272,"about_ca_system_score_gemma":0.000010747798,"threshold_uncertainty_score":0.9990065},"labels":[],"label_agreement":null},{"id":"W2943522757","doi":"10.1007/s12541-019-00084-2","title":"CNC Tool Path Generation for Freeform Surface Machining Based on Preferred Feed Direction Field","year":2019,"lang":"en","type":"article","venue":"International Journal of Precision Engineering and Manufacturing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Machining; Tangent; Streamlines, streaklines, and pathlines; Vector field; Parametric surface; Surface (topology); Parametric statistics; Grid; Scalar (mathematics); Geometry; Parametric equation; Scalar field; Mechanical engineering; Computer science; Mathematics; Engineering; Physics; Mechanics","score_opus":0.007957803959886085,"score_gpt":0.23764337693380155,"score_spread":0.22968557297391548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943522757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5045708,0.000058742065,0.49427766,0.000055272387,0.00077155035,0.00008959707,0.0000040178593,0.000083735154,0.000088640416],"genre_scores_gemma":[0.9687051,0.000054108365,0.030887287,0.000040836134,0.0002280046,0.000004870231,0.0000080437885,0.000025359417,0.000046376696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911356,0.00000800826,0.00034524212,0.0001267713,0.00028751095,0.00011891951],"domain_scores_gemma":[0.9994399,0.00023452236,0.00010026371,0.00009673753,0.00008154064,0.000047031877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022372782,0.0001417313,0.00018857911,0.00020808741,0.000023872482,0.000059760954,0.0001486163,0.00006670813,0.000023343035],"category_scores_gemma":[0.000095897005,0.00012392589,0.000104757215,0.00003474861,0.0000030244328,0.00026506884,0.000019777945,0.00019726725,0.0000017440763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005830563,0.00001224207,0.00008089588,0.000018486928,0.00005469437,0.0000020939408,0.000026739159,0.90097636,0.04881244,0.000018695115,0.00012457655,0.049814474],"study_design_scores_gemma":[0.00039313643,0.00013043357,0.0006121578,0.00013196399,0.000011710753,0.000009590077,0.0000049073146,0.76557,0.23011747,0.00008303807,0.0028119842,0.00012364193],"about_ca_topic_score_codex":0.000002932205,"about_ca_topic_score_gemma":5.7880777e-7,"teacher_disagreement_score":0.46413434,"about_ca_system_score_codex":0.00011363934,"about_ca_system_score_gemma":0.0000058851438,"threshold_uncertainty_score":0.50535506},"labels":[],"label_agreement":null},{"id":"W2945047246","doi":"10.2351/1.5061426","title":"A time-dependent multiphysics simulation of laser solid freeform fabrication process for heterogeneous structures","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Multiphysics; Fabrication; Deposition (geology); Laser; Thermal; Material properties; Process (computing); Intersection (aeronautics); Composite material; Optics; Finite element method; Computer science; Structural engineering","score_opus":0.014777731170867139,"score_gpt":0.2828293187318063,"score_spread":0.26805158756093916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945047246","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2426361,0.000013629909,0.7566595,0.0000028690156,0.000011315259,0.00021986684,0.0000101845435,0.00032429254,0.00012221475],"genre_scores_gemma":[0.99099135,0.0000084313815,0.008780591,0.0000131670195,0.00003838321,0.00004427383,0.000027746493,0.000025211886,0.000070867194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994173,0.0000037533994,0.00021334393,0.000117519994,0.00013139089,0.00011671193],"domain_scores_gemma":[0.99957937,0.000043763997,0.000055972523,0.00014628004,0.00014476708,0.000029848748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000018505814,0.0001056735,0.0001723755,0.00005114192,0.000034672947,0.0000027801761,0.00008638619,0.000048030513,0.000023236296],"category_scores_gemma":[0.000027099177,0.00009074342,0.00006943769,0.00012259393,0.00002684143,0.000121254634,0.00000985193,0.000039204682,0.0000043289606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008571752,0.000018668468,0.000040433162,0.00003297241,0.000028415665,2.3930576e-7,0.00008008726,0.9875839,0.008137653,0.0000048186503,0.000021513566,0.0040427768],"study_design_scores_gemma":[0.00007714936,0.000022099786,0.00003256917,0.000001972148,0.00000970655,7.777967e-7,0.0000043623354,0.58068144,0.41769648,0.0013692979,0.000034703655,0.00006941118],"about_ca_topic_score_codex":0.000004022569,"about_ca_topic_score_gemma":0.000002383439,"teacher_disagreement_score":0.7483552,"about_ca_system_score_codex":0.000038776863,"about_ca_system_score_gemma":0.000004777591,"threshold_uncertainty_score":0.37004092},"labels":[],"label_agreement":null},{"id":"W2949489925","doi":"10.48550/arxiv.0707.1515","title":"Properties of polynomial bases used in a line-surface intersection algorithm","year":2007,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Science Foundation","keywords":"Intersection (aeronautics); Line (geometry); Algorithm; Polynomial; Surface (topology); Mathematics; Geometry; Engineering; Mathematical analysis","score_opus":0.044708785358112166,"score_gpt":0.27131268718090723,"score_spread":0.22660390182279505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949489925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86741585,0.00054331013,0.13091113,0.000024461513,0.00025036422,0.0002380993,0.000009904269,0.00048083908,0.00012607906],"genre_scores_gemma":[0.9831148,0.00017208087,0.016376346,0.00002091348,0.00013649833,0.0000305695,0.000016249382,0.000059634916,0.00007293804],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986189,0.0000347038,0.00058018696,0.0003320842,0.00017290794,0.00026119532],"domain_scores_gemma":[0.99933565,0.00003532063,0.00012532613,0.00038392097,0.000065744774,0.000054037177],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001682859,0.00030172235,0.00055366644,0.00025828663,0.000015881555,0.000010994637,0.00024351086,0.00027925766,0.000021226007],"category_scores_gemma":[0.00006023669,0.00028735783,0.0001755237,0.00031291734,0.00007362593,0.000107339714,0.000227441,0.0006941999,0.00001299841],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014640356,0.00039050254,0.14020902,0.0012119954,0.0004934687,0.000054800716,0.0017707048,0.41145968,0.39554498,0.0000033198482,0.00037527038,0.048339855],"study_design_scores_gemma":[0.0002642089,0.000074246855,0.0066808374,0.0006657426,0.00006184927,0.000002597868,0.00019027732,0.11071665,0.88014156,0.000054535954,0.00059197913,0.0005555051],"about_ca_topic_score_codex":0.00059642864,"about_ca_topic_score_gemma":0.00013042077,"teacher_disagreement_score":0.48459658,"about_ca_system_score_codex":0.00026137652,"about_ca_system_score_gemma":0.000024963956,"threshold_uncertainty_score":0.99995786},"labels":[],"label_agreement":null},{"id":"W2949722146","doi":"10.48550/arxiv.1308.0780","title":"Symmetrically complete ordered sets, abelian groups and fields","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Abelian group; Mathematics; Elementary abelian group; Intersection (aeronautics); Bounded function; Rank of an abelian group; Group (periodic table); Pure mathematics; Field (mathematics); Combinatorics; Discrete mathematics; Mathematical analysis; Physics; Quantum mechanics","score_opus":0.04388527140727941,"score_gpt":0.1775464481720949,"score_spread":0.13366117676481548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949722146","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.33349407,0.00035048925,0.66100866,0.000077832825,0.00016944992,0.00034597013,0.000041716226,0.001239788,0.0032720084],"genre_scores_gemma":[0.99331415,0.0014013727,0.004748708,0.00007472715,0.000040301868,0.0000026333237,0.00004164277,0.000044429038,0.00033205395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987326,0.000042091702,0.00021937251,0.00060297665,0.00006960905,0.00033334628],"domain_scores_gemma":[0.9989194,0.00010714,0.00008685956,0.00059821387,0.000087055625,0.00020130718],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000060888047,0.0003696639,0.0005045679,0.00035763928,0.00007164103,0.00005361905,0.00047244193,0.00037883717,0.000106094216],"category_scores_gemma":[0.0000329202,0.00040095797,0.00015919078,0.0006655885,0.00010223707,0.00015179426,0.00059534877,0.00072884327,0.00005400444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004218704,0.00016565456,0.006919606,0.00091333024,0.0012298198,0.0004326006,0.00019492858,0.9112664,0.00051495986,0.05037774,0.0080896,0.019853178],"study_design_scores_gemma":[0.00030121714,0.000054738968,0.001954891,0.00008370261,0.000192805,0.000004019223,0.000040350402,0.91184366,0.00010522607,0.07955258,0.005027965,0.00083883264],"about_ca_topic_score_codex":0.0001617257,"about_ca_topic_score_gemma":0.000042616117,"teacher_disagreement_score":0.6598201,"about_ca_system_score_codex":0.00013832329,"about_ca_system_score_gemma":0.000012491956,"threshold_uncertainty_score":0.99984425},"labels":[],"label_agreement":null},{"id":"W2950123138","doi":"10.48550/arxiv.math/0610036","title":"Problems related to a de Bruijn - Erd\\H{o}s theorem","year":2006,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"De Bruijn sequence; Generalization; Mathematics; Metric space; Combinatorics; Plane (geometry); Set (abstract data type); Discrete mathematics; Metric (unit); Computer science; Mathematical analysis; Geometry; Engineering","score_opus":0.023092239224748977,"score_gpt":0.1730037984414514,"score_spread":0.1499115592167024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950123138","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3051354,0.00010327465,0.6743018,0.000039710067,0.00010006684,0.0004159912,0.00002243787,0.002248274,0.017633064],"genre_scores_gemma":[0.9920161,0.0001356036,0.0049524363,0.00004274237,0.000033318614,0.0000048721945,0.000039474202,0.00007975192,0.0026956978],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850625,0.000058836697,0.00025612864,0.00065096916,0.00007099328,0.00045684824],"domain_scores_gemma":[0.9988618,0.000049641094,0.00008553649,0.0007334836,0.000070974136,0.00019860416],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013598976,0.00038311037,0.00043285236,0.00033373048,0.00006222202,0.000033348537,0.0006505367,0.00039412559,0.000067450404],"category_scores_gemma":[0.000023128747,0.00044952167,0.00025483032,0.0008560088,0.00007108073,0.00010626105,0.00046438733,0.0007436462,0.00012656339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008564996,0.000034010063,0.0010960315,0.000076795324,0.00012320389,0.00010268673,0.0000671292,0.98760253,0.00047868994,0.008643378,0.0011904723,0.0005765296],"study_design_scores_gemma":[0.00029571145,0.00005685107,0.0011939218,0.00024979713,0.00027393523,0.000006708049,0.000030679028,0.6603704,0.0017669089,0.32882428,0.005720415,0.0012103743],"about_ca_topic_score_codex":0.0001892247,"about_ca_topic_score_gemma":0.000058379297,"teacher_disagreement_score":0.6868807,"about_ca_system_score_codex":0.00056816847,"about_ca_system_score_gemma":0.000033174587,"threshold_uncertainty_score":0.9997957},"labels":[],"label_agreement":null},{"id":"W2950443960","doi":"10.2514/6.2019-2953","title":"Optimization of Multi-dimensional Summation-by-Parts Operators","year":2019,"lang":"en","type":"article","venue":"AIAA Aviation 2019 Forum","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Summation by parts; Computer science; Mathematics; Mathematical analysis","score_opus":0.00399179083794778,"score_gpt":0.2178845004740138,"score_spread":0.21389270963606602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950443960","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06952729,0.0002485965,0.9285815,0.00018060228,0.00022259107,0.0003584204,0.000042313906,0.0004128945,0.00042579157],"genre_scores_gemma":[0.9703175,0.00003583158,0.028653616,0.00008665992,0.00001093081,0.000015430913,0.00028197892,0.000028380473,0.0005697078],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923044,0.000015673451,0.00028774593,0.00013727235,0.0001810872,0.000147782],"domain_scores_gemma":[0.9995603,0.000033827848,0.000078132056,0.0001864349,0.00010249788,0.000038836803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000651603,0.0001129434,0.00017253072,0.00009323339,0.000027281976,0.000010180182,0.000087383094,0.00007455321,0.00026242936],"category_scores_gemma":[0.000020213693,0.00011094548,0.000055170512,0.0002343738,0.000014275867,0.00034562565,0.000022020376,0.000066553854,0.00014130534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000032252092,0.000029050827,0.0055428115,0.000013550702,0.00002502407,6.994521e-8,0.000025682115,0.97036284,0.015270356,0.00029929163,0.00748108,0.0009469992],"study_design_scores_gemma":[0.00028412777,0.00003420467,0.0005543256,0.000018376846,0.000012796586,4.0424288e-7,0.000020499716,0.94016623,0.055722084,0.00012184681,0.0028834667,0.00018165387],"about_ca_topic_score_codex":0.000013545494,"about_ca_topic_score_gemma":0.0000024747592,"teacher_disagreement_score":0.90079015,"about_ca_system_score_codex":0.000053991345,"about_ca_system_score_gemma":0.000007888469,"threshold_uncertainty_score":0.45242256},"labels":[],"label_agreement":null},{"id":"W2951065617","doi":"10.48550/arxiv.math/0604604","title":"Bivariate Lagrange interpolation at the Padua points: the ideal theory approach","year":2006,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Interpolation (computer graphics); Mathematics; Lagrange polynomial; Birkhoff interpolation; Trigonometric interpolation; Bivariate analysis; Ideal (ethics); Polynomial interpolation; Applied mathematics; Convergence (economics); Bilinear interpolation; Inverse quadratic interpolation; Point (geometry); Linear interpolation; Nearest-neighbor interpolation; Spline interpolation; Algebra over a field; Pure mathematics; Mathematical analysis; Polynomial; Geometry; Computer science; Statistics","score_opus":0.019879606014785407,"score_gpt":0.24542694236446128,"score_spread":0.22554733634967586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951065617","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17224889,0.0022208297,0.8047131,0.00082739163,0.0003811474,0.00079123885,0.000046808138,0.0015388427,0.017231796],"genre_scores_gemma":[0.9924148,0.00020984215,0.005424887,0.00031463327,0.00036498407,0.0002746851,0.0002007797,0.00010506552,0.0006903768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99823093,0.0002345642,0.0004745809,0.0004477369,0.0002643445,0.00034782468],"domain_scores_gemma":[0.9983271,0.00027234177,0.00018258084,0.0011131526,0.00005736075,0.000047486406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006206684,0.00041646254,0.0003878106,0.00009065963,0.00018590898,0.000058145994,0.00076638133,0.0002660749,0.00008656721],"category_scores_gemma":[0.00007667407,0.0002400424,0.00031563666,0.00028511562,0.00016785137,0.000096091724,0.0007522811,0.0010531474,0.00012797574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054077775,0.000946973,0.32015553,0.0022702066,0.006889951,0.000075354335,0.009399813,0.343984,0.036671035,0.031807337,0.10220863,0.14505038],"study_design_scores_gemma":[0.0008866419,0.00009876902,0.28317717,0.0005009946,0.0016406993,0.00003983568,0.0005320397,0.40479028,0.008607561,0.20933425,0.086820066,0.0035716638],"about_ca_topic_score_codex":0.00022409463,"about_ca_topic_score_gemma":0.00005473928,"teacher_disagreement_score":0.8201659,"about_ca_system_score_codex":0.00020959262,"about_ca_system_score_gemma":0.000010861123,"threshold_uncertainty_score":0.9788645},"labels":[],"label_agreement":null},{"id":"W2951424830","doi":"10.48550/arxiv.1810.01285","title":"Area-Preserving Geometric Hermite Interpolation","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Parametrization (atmospheric modeling); Mathematics; Monotone cubic interpolation; Interpolation (computer graphics); Hermite interpolation; Curvature; Cubic Hermite spline; Hermite polynomials; Applied mathematics; Bézier curve; Mathematical analysis; Bicubic interpolation; Geometry; Linear interpolation; Computer science; Image (mathematics); Physics; Polynomial","score_opus":0.052354388303626695,"score_gpt":0.189363839182005,"score_spread":0.1370094508783783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951424830","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24028641,0.0001362646,0.7479805,0.000006734677,0.00021431557,0.00015739248,0.00001438833,0.0012255759,0.00997843],"genre_scores_gemma":[0.99544483,0.00035695877,0.0030900573,0.000019520012,0.00011543052,0.0000015616648,0.00004472798,0.00005471815,0.00087220815],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876183,0.000039912193,0.00022622656,0.0005848779,0.000078188845,0.0003089637],"domain_scores_gemma":[0.998728,0.00007528052,0.00012370577,0.00081675744,0.00012946998,0.00012683416],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010560459,0.00032961275,0.0003759701,0.0007736428,0.00006588377,0.00004380442,0.0007281938,0.00030935655,0.00033510267],"category_scores_gemma":[0.00006406296,0.00039459992,0.00023246508,0.0013851508,0.000076517295,0.00026409587,0.00086054375,0.0005684363,0.00011449341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026148527,0.000050953455,0.0073328316,0.00023484419,0.0003723795,0.000106587766,0.0000671944,0.9845044,0.00054444384,0.0007946262,0.0036893382,0.002276234],"study_design_scores_gemma":[0.00011203744,0.000025348043,0.0010309953,0.00012442221,0.00012836639,0.0000013222125,0.000026590562,0.97875255,0.0010126974,0.016623909,0.0016528603,0.0005089015],"about_ca_topic_score_codex":0.000055803386,"about_ca_topic_score_gemma":0.000025206886,"teacher_disagreement_score":0.7551584,"about_ca_system_score_codex":0.0003249003,"about_ca_system_score_gemma":0.0000151595905,"threshold_uncertainty_score":0.9998506},"labels":[],"label_agreement":null},{"id":"W2951723716","doi":"10.48550/arxiv.1203.4107","title":"Sporadic Reinhardt polygons","year":2012,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Combinatorics; Polygon (computer graphics); Regular polygon; Perimeter; Mathematics; Integer (computer science); Point in polygon; Computer science; Geometry; Telecommunications","score_opus":0.048181614556415904,"score_gpt":0.17517469961336035,"score_spread":0.12699308505694445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2951723716","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24441351,0.00083776267,0.7306241,0.00003117558,0.0005233206,0.0003092434,0.000053524072,0.0032782145,0.019929154],"genre_scores_gemma":[0.99584436,0.0007113031,0.0018604222,0.00002836928,0.00015136698,0.0000015114204,0.000048303027,0.00006832833,0.0012860609],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877536,0.000035389166,0.00019478914,0.00049429573,0.00006604004,0.0004341015],"domain_scores_gemma":[0.9987267,0.0000367542,0.000091707,0.0008598046,0.000047487334,0.0002375196],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000086334185,0.00036816456,0.00044049133,0.00025965623,0.000059811802,0.000020254618,0.00058188353,0.00034342255,0.00024789598],"category_scores_gemma":[0.000013713556,0.00044034174,0.00029538118,0.00049570657,0.00009481796,0.00019374132,0.00042667426,0.0007890538,0.00026713964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024292003,0.00010508472,0.004154236,0.0002582214,0.00053621037,0.00030645542,0.00010984342,0.9641419,0.00089098455,0.02362773,0.0033556116,0.0024894497],"study_design_scores_gemma":[0.0009287865,0.000076906756,0.0044281506,0.00044523375,0.0018922056,0.000024769764,0.00019126941,0.78707236,0.010176049,0.13717547,0.05277131,0.0048175077],"about_ca_topic_score_codex":0.000053641834,"about_ca_topic_score_gemma":0.000009869294,"teacher_disagreement_score":0.7514308,"about_ca_system_score_codex":0.0003239586,"about_ca_system_score_gemma":0.000022006569,"threshold_uncertainty_score":0.99980485},"labels":[],"label_agreement":null},{"id":"W2953142368","doi":"10.48550/arxiv.1401.6694","title":"Multivariate sparse interpolation using randomized Kronecker substitutions","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Science Foundation","keywords":"Univariate; Kronecker delta; Multivariate statistics; Interpolation (computer graphics); Polynomial; Mathematics; Multivariate analysis; Polynomial interpolation; Linear interpolation; Combinatorics; Computer science; Statistics; Artificial intelligence; Mathematical analysis; Physics","score_opus":0.060375029441410065,"score_gpt":0.21005009496173216,"score_spread":0.1496750655203221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953142368","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1855791,0.000041601103,0.81201476,0.0000052264654,0.0002275493,0.00031755824,0.000011354124,0.00057125033,0.0012315651],"genre_scores_gemma":[0.9793084,0.00013322488,0.020231795,0.000012106335,0.000074530064,0.000002508019,0.000049067963,0.000042087147,0.00014628218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99868447,0.00015983786,0.00031887178,0.00051275315,0.000060876835,0.00026319583],"domain_scores_gemma":[0.9988994,0.00014303152,0.00017602557,0.0005714124,0.00009734594,0.0001127565],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023166557,0.00034773364,0.00074358366,0.00032618243,0.00008964298,0.00003387568,0.00033277896,0.0002952454,0.00009836487],"category_scores_gemma":[0.00009406129,0.00038261866,0.00041244604,0.00035282294,0.00018407246,0.00019662676,0.0002916025,0.00055581867,0.00006199438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000424439,0.000021406002,0.00009657917,0.000040448802,0.00023253867,0.000017459994,0.00004340955,0.9905924,0.0006247808,0.007758402,0.000020574309,0.00012756584],"study_design_scores_gemma":[0.005052876,0.000004062068,0.00003209372,0.000105472725,0.00041708947,0.0000012048079,0.000011767733,0.97569525,0.00037719877,0.017713612,0.00019200392,0.00039735605],"about_ca_topic_score_codex":0.00019959381,"about_ca_topic_score_gemma":0.000022350885,"teacher_disagreement_score":0.7937293,"about_ca_system_score_codex":0.00032119706,"about_ca_system_score_gemma":0.000026090707,"threshold_uncertainty_score":0.99986255},"labels":[],"label_agreement":null},{"id":"W2961599012","doi":"","title":"Remaillage conforme, capture exacte d’interface et contraintes géométriques pour l’optimisation topologique de structures mécaniques","year":2019,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Humanities; Art","score_opus":0.009311637728690033,"score_gpt":0.24665131533410917,"score_spread":0.23733967760541913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2961599012","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056599386,0.0030504488,0.8725372,0.013538902,0.00023970292,0.0010373876,0.00019222168,0.0014377685,0.051367015],"genre_scores_gemma":[0.609362,0.004320807,0.37401673,0.0002946548,0.000045569643,0.00010036322,0.00043587055,0.00013485149,0.011289181],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9891125,0.0067810672,0.0013138915,0.0012610155,0.0005477277,0.0009838025],"domain_scores_gemma":[0.9903274,0.003362502,0.0009967772,0.0023102546,0.002618365,0.0003846893],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0054810354,0.001060996,0.0012538896,0.00036271737,0.00027568525,0.00060344435,0.0017679983,0.0012278476,0.00073310046],"category_scores_gemma":[0.0034877607,0.0011187589,0.0005989713,0.00048224558,0.0005411151,0.0005120748,0.0010103146,0.0022461682,0.000076749224],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095945645,0.00059847155,0.002462218,0.0012782372,0.0009960447,0.000035376586,0.03173033,0.054943793,0.14575319,0.694292,0.0060222647,0.06179209],"study_design_scores_gemma":[0.0007184513,0.000004085053,0.0032142897,0.0034345756,0.00024000078,0.00008038708,0.0011545699,0.099392645,0.7787577,0.07186571,0.039372914,0.0017647076],"about_ca_topic_score_codex":0.0059664757,"about_ca_topic_score_gemma":0.0033119053,"teacher_disagreement_score":0.6330045,"about_ca_system_score_codex":0.001139728,"about_ca_system_score_gemma":0.0005040488,"threshold_uncertainty_score":0.99912626},"labels":[],"label_agreement":null},{"id":"W2963303064","doi":"10.1137/1.9781611975031.93","title":"Near-optimal approximation algorithm for simultaneous M<scp>ax</scp>-C<scp>ut</scp>","year":2018,"lang":"en","type":"book-chapter","venue":"Society for Industrial and Applied Mathematics eBooks","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Algorithm; Computer science; Combinatorics; Physics; Mathematics","score_opus":0.026725231683473554,"score_gpt":0.23679248077104506,"score_spread":0.21006724908757152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963303064","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00064788904,0.00014381272,0.90500057,0.000006650954,0.00021961733,0.0042103776,0.00072462787,0.0012170239,0.08782941],"genre_scores_gemma":[0.00024746123,0.00008037902,0.88342017,0.00007921541,0.0020753862,0.0010950894,0.00045852727,0.0004974276,0.112046346],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973183,0.0000036739953,0.00094627327,0.00064055173,0.0004153896,0.00067575485],"domain_scores_gemma":[0.9967137,0.0019375917,0.0004957338,0.000446479,0.00018414349,0.0002223658],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.00037469433,0.0008774612,0.0012349158,0.00007455028,0.00038174374,0.0001924618,0.0003440489,0.0016143457,0.000008521073],"category_scores_gemma":[0.0001754338,0.0008454668,0.00091710757,0.000052392155,0.0003837297,0.00005925192,0.00013787943,0.0007521871,0.000018471974],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029627896,0.00027459525,1.2764106e-7,0.0051838895,0.006302116,0.000006922167,0.013625248,0.008022746,0.004645096,0.16771062,0.21161707,0.58258194],"study_design_scores_gemma":[0.0014812051,0.00025624674,5.3685927e-9,0.00023249317,0.0009858203,0.000008723342,0.00080796774,0.3329301,0.009249944,0.21060327,0.44306463,0.00037961168],"about_ca_topic_score_codex":7.5841035e-7,"about_ca_topic_score_gemma":5.4767065e-7,"teacher_disagreement_score":0.5822023,"about_ca_system_score_codex":0.00016664692,"about_ca_system_score_gemma":0.000060491293,"threshold_uncertainty_score":0.9996818},"labels":[],"label_agreement":null},{"id":"W2963659898","doi":"10.1016/j.cad.2017.04.002","title":"Isogeometric computation reuse method for complex objects with topology-consistent volumetric parameterization","year":2017,"lang":"en","type":"article","venue":"Computer-Aided Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Research Grants Council, University Grants Committee; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Isogeometric analysis; Computation; Quadrature (astronomy); Reuse; Computer science; Stiffness matrix; Finite element method; Algorithm; Spline (mechanical); Mathematical optimization; B-spline; Set (abstract data type); Topology (electrical circuits); Mathematics; Applied mathematics; Mathematical analysis; Structural engineering","score_opus":0.061889401397509015,"score_gpt":0.3202154350268486,"score_spread":0.2583260336293396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963659898","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021862278,0.00009199303,0.9956908,0.00010260341,0.00019356067,0.0008145765,0.000008686497,0.000812274,0.000099278455],"genre_scores_gemma":[0.34891003,0.000018947992,0.65073353,0.000076581746,0.000075285585,0.00008917763,0.00003435161,0.00004423919,0.00001785899],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998389,0.00012511482,0.0004259519,0.00045962655,0.00021361897,0.00038669803],"domain_scores_gemma":[0.9976419,0.0007939604,0.00027782956,0.0009328186,0.00022963707,0.00012384087],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003618776,0.00030937724,0.0005665419,0.0006876543,0.00037059956,0.00021736692,0.00065438915,0.00012526178,0.000008133027],"category_scores_gemma":[0.0003720747,0.00028703717,0.00013301591,0.0008189372,0.00009570543,0.00033143847,0.00013021595,0.00014540166,0.000011933996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111504305,0.0001348796,0.0003768862,0.00016571472,0.0003764774,0.000019950228,0.0001246186,0.59576124,0.012872862,0.00028141012,0.004923045,0.3848514],"study_design_scores_gemma":[0.00067267887,0.00059125066,0.0035918225,0.000031443997,0.00010465589,0.000020119202,0.000006958515,0.9836868,0.00623058,0.0041302675,0.00055254705,0.000380886],"about_ca_topic_score_codex":0.000019594052,"about_ca_topic_score_gemma":0.0000029700132,"teacher_disagreement_score":0.38792554,"about_ca_system_score_codex":0.00014562657,"about_ca_system_score_gemma":0.000020927666,"threshold_uncertainty_score":0.99995816},"labels":[],"label_agreement":null},{"id":"W2963949807","doi":"10.48550/arxiv.1709.06021","title":"A Novel Approach for Ellipsoidal Outer-Approximation of the Intersection Region of Ellipses in the Plane","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Ellipse; Intersection (aeronautics); Polygon (computer graphics); Mathematics; Convex polygon; Combinatorics; Regular polygon; Orthogonal convex hull; Polygon covering; Bounded function; Convex set; Plane (geometry); Ellipsoid; Convex hull; Geometry; Star-shaped polygon; Convex body; Mathematical analysis; Convex optimization; Computer science; Physics","score_opus":0.07351688538406538,"score_gpt":0.20287023952790426,"score_spread":0.12935335414383886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963949807","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18687811,0.000017004893,0.81183755,0.000011155678,0.000068048765,0.00044238224,0.00001775146,0.000049266517,0.0006786958],"genre_scores_gemma":[0.99532205,0.00006473266,0.004452439,0.0000044463063,0.000029443438,0.000006911835,0.000026998183,0.000015439018,0.00007752893],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929434,0.000040578732,0.00021954303,0.00026142472,0.00006308551,0.000121053876],"domain_scores_gemma":[0.99883825,0.00007254208,0.000317908,0.0006914886,0.000064806765,0.000015006616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016133145,0.00016627218,0.0002894501,0.000119376506,0.00004761494,0.000011358321,0.0007500658,0.0001726956,8.761714e-7],"category_scores_gemma":[0.000035883022,0.00012554809,0.00022229424,0.00017444203,0.00011725083,0.00010536765,0.00016262948,0.00031537862,2.7780257e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005622993,0.000110366134,0.0006257218,0.00043137386,0.00007811222,0.0000017720637,0.00034882667,0.9924363,0.0012790456,0.0039248466,0.000060377042,0.0006470508],"study_design_scores_gemma":[0.00029275124,0.000042061092,0.0006386772,0.00014550783,0.0001346562,0.000004453594,0.0003262717,0.98206615,0.0051534916,0.010904812,0.00009933253,0.0001918457],"about_ca_topic_score_codex":0.00011645048,"about_ca_topic_score_gemma":0.000046464316,"teacher_disagreement_score":0.80844396,"about_ca_system_score_codex":0.0001109379,"about_ca_system_score_gemma":0.00001506629,"threshold_uncertainty_score":0.5119703},"labels":[],"label_agreement":null},{"id":"W2964084228","doi":"10.1142/s0129054112400096","title":"<font>L</font>-SYSTEMS IN GEOMETRIC MODELING","year":2012,"lang":"en","type":"article","venue":"International Journal of Foundations of Computer Science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Affine transformation; Bézier curve; Context (archaeology); Parametric equation; Parametric statistics; Font; Computer science; Geometric design; Subdivision; Geometric modeling; Algorithm; Parametric model; Mathematics; Interpretation (philosophy); Pure mathematics; Geometry; Artificial intelligence","score_opus":0.022264680893232927,"score_gpt":0.3062847088080332,"score_spread":0.2840200279148003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964084228","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18850209,0.00029829086,0.8098235,0.00005454295,0.0010635761,0.000029323992,0.0000010137836,0.000019587298,0.000208052],"genre_scores_gemma":[0.9141342,0.000062093466,0.08555613,0.000013030539,0.00022449752,0.0000014589419,6.673843e-7,0.0000051742363,0.0000027659262],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985182,0.000013477054,0.00056421297,0.000071285525,0.0006680807,0.00016470495],"domain_scores_gemma":[0.9989224,0.00007128228,0.00017136689,0.000112538284,0.0006447933,0.000077602395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006673272,0.000073867166,0.00016713628,0.001477826,0.000026606469,0.00006880797,0.0007662507,0.000021002343,0.0000081568505],"category_scores_gemma":[0.00009141733,0.0000676029,0.00006554531,0.0011388761,0.00007927039,0.0015993059,0.00007175885,0.00012944572,0.000003994911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030692393,0.00006580109,0.0025538206,0.000003957224,0.000028674684,0.0000019434417,0.00014069153,0.95974535,0.0018668148,0.0015222386,0.000036235866,0.034031432],"study_design_scores_gemma":[0.0001412793,0.000026511943,0.003093889,0.000058328562,0.0000058349738,0.000051096347,0.000014754216,0.9935918,0.0013719281,0.0009398517,0.00062124874,0.000083464955],"about_ca_topic_score_codex":0.000021942813,"about_ca_topic_score_gemma":0.0000015235138,"teacher_disagreement_score":0.7256321,"about_ca_system_score_codex":0.00023637156,"about_ca_system_score_gemma":0.00004773032,"threshold_uncertainty_score":0.27567664},"labels":[],"label_agreement":null},{"id":"W2965355751","doi":"","title":"SDCurve.js: A JavaScript Library for Interactive Subdivision Curves","year":2016,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"JavaScript; Computer science; Subdivision; Programming language; Computer graphics (images); World Wide Web; Engineering","score_opus":0.00794110390067957,"score_gpt":0.21818727929769588,"score_spread":0.21024617539701632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965355751","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069862474,0.0014926197,0.96869546,0.0048469612,0.00007551269,0.00032737546,0.00006849869,0.001303531,0.016203796],"genre_scores_gemma":[0.90108573,0.0029452213,0.086704,0.00022152503,0.000023895249,0.00018174769,0.00014463703,0.00009447826,0.008598766],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982707,0.0006500457,0.00032261843,0.00032535798,0.00017066304,0.00026060152],"domain_scores_gemma":[0.9970512,0.0015517847,0.00010934506,0.0007587362,0.00041229645,0.000116668816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00086273515,0.00018823717,0.00024496796,0.00012105542,0.000107155625,0.00007078987,0.00051666383,0.00007234583,0.00021933111],"category_scores_gemma":[0.0009467711,0.00014928359,0.00016052254,0.0003431544,0.00009656779,0.000667602,0.00017595945,0.00012026357,0.00004926796],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048204172,0.00055719167,0.0024555658,0.00037973383,0.0002660884,0.000004452941,0.0019444146,0.000028240007,0.09274348,0.041143686,0.082371384,0.7780576],"study_design_scores_gemma":[0.0004536043,0.0000010800218,0.0010859076,0.0025234956,0.000033950084,0.0000035140863,0.000028046903,0.012074339,0.80765194,0.008327209,0.16740805,0.00040886563],"about_ca_topic_score_codex":0.000023572467,"about_ca_topic_score_gemma":0.00004524431,"teacher_disagreement_score":0.8940995,"about_ca_system_score_codex":0.000060667793,"about_ca_system_score_gemma":0.00002114378,"threshold_uncertainty_score":0.6087608},"labels":[],"label_agreement":null},{"id":"W2968147978","doi":"10.1007/978-3-030-27202-9_12","title":"Fitting Smooth Manifolds to Point Clouds in a Level Set Formulation","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Curse of dimensionality; Point cloud; Robustness (evolution); Surface fitting; Algorithm; Curve fitting; Bottleneck; Representation (politics); Data point; Operator (biology); Surface (topology); Artificial intelligence; Mathematics; Geometry; Machine learning","score_opus":0.020844819171664128,"score_gpt":0.2595264365598582,"score_spread":0.23868161738819405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2968147978","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012919147,0.00007309627,0.9961518,0.00011124714,0.0002488656,0.0003285799,0.0000066139196,0.00020099076,0.0015869159],"genre_scores_gemma":[0.68341017,0.000012070627,0.31581202,0.00044100007,0.00014462728,0.0000071776726,0.00000878558,0.00004737798,0.00011674228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981653,0.000007894308,0.00040914587,0.0006117089,0.00040066274,0.00040525076],"domain_scores_gemma":[0.99913466,0.00014641524,0.00007506508,0.00050618575,0.000059789294,0.00007789174],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033960422,0.00033470392,0.00041149274,0.00069258106,0.000039736125,0.000072604664,0.0006080092,0.00020961538,0.000015906297],"category_scores_gemma":[0.00005365043,0.00032619835,0.00007970694,0.00052449293,0.000051134317,0.00018242179,0.00029663413,0.00048729187,0.000031377876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031411403,0.0000039715674,0.0001345463,0.000038228645,0.0000047111876,0.000010670352,0.00027299134,0.75675696,0.0007670644,0.000849076,0.000014267698,0.24114437],"study_design_scores_gemma":[0.0001338403,0.00009820393,0.0008367264,0.00051650836,0.0000069550665,0.000008201126,2.6546834e-7,0.9390691,0.0038048003,0.053266715,0.0015891682,0.00066949445],"about_ca_topic_score_codex":0.000023675359,"about_ca_topic_score_gemma":0.00017282939,"teacher_disagreement_score":0.6821183,"about_ca_system_score_codex":0.00047073496,"about_ca_system_score_gemma":0.00005411813,"threshold_uncertainty_score":0.999919},"labels":[],"label_agreement":null},{"id":"W2970190003","doi":"10.5802/jtnb.1127","title":"A transference principle for simultaneous rational approximation","year":2020,"lang":"en","type":"preprint","venue":"Journal de Théorie des Nombres de Bordeaux","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Measure (data warehouse); Sequence (biology); Irrationality; Boundary (topology); Integer (computer science); Diophantine approximation; Pure mathematics; Combinatorics; Discrete mathematics; Mathematical analysis; Rationality; Computer science; Law","score_opus":0.020034347266474434,"score_gpt":0.29452770298277653,"score_spread":0.27449335571630207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970190003","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016134312,0.0006352239,0.98070467,0.0004723575,0.00016060856,0.00047822617,0.0001251281,0.00057640224,0.00071306224],"genre_scores_gemma":[0.7060344,0.00089618197,0.29194558,0.00012550794,0.0005597649,0.00018321368,0.00010016421,0.000090549736,0.00006457781],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99811834,0.00006811788,0.0006687619,0.00032174907,0.0003172016,0.00050584535],"domain_scores_gemma":[0.998617,0.00034215723,0.00017367289,0.00025442606,0.00029482084,0.0003179527],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031480807,0.0004036156,0.0005447362,0.00015822717,0.00018008504,0.00023543298,0.0005294809,0.00033066465,0.000039350896],"category_scores_gemma":[0.0005431386,0.0004070983,0.00038356512,0.00020884773,0.00007429107,0.00018490948,0.00009382766,0.0012316442,0.0000056731246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017371865,0.00007552005,0.00012456729,0.00090736354,0.00038536853,0.00008712283,0.00062707195,0.95277405,0.009936106,0.0054148356,0.0008535128,0.028640736],"study_design_scores_gemma":[0.00025935424,0.0001064701,0.000108543296,0.00013616758,0.00014618624,0.000106574065,0.00002677241,0.6721313,0.0045559644,0.3137632,0.0082464535,0.00041300955],"about_ca_topic_score_codex":0.0000051821035,"about_ca_topic_score_gemma":0.000009225828,"teacher_disagreement_score":0.68990016,"about_ca_system_score_codex":0.00082063494,"about_ca_system_score_gemma":0.00031885636,"threshold_uncertainty_score":0.9998381},"labels":[],"label_agreement":null},{"id":"W2972967669","doi":"10.1002/pamm.201900275","title":"Analysis‐suitable CAD Models based on Watertight Boolean Operations","year":2019,"lang":"en","type":"article","venue":"PAMM","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ovarian Cancer Canada","funders":"","keywords":"CAD; Computer science; Context (archaeology); Scope (computer science); Interoperability; Computer Aided Design; Engineering drawing; Theoretical computer science; Software engineering; Programming language; Engineering","score_opus":0.006932364085270701,"score_gpt":0.21594631661924144,"score_spread":0.20901395253397073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972967669","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062424876,0.000057379202,0.9145615,0.00012862342,0.000044766388,0.00016465496,0.000013764627,0.0007815735,0.021822846],"genre_scores_gemma":[0.9911923,0.000010920537,0.0072574997,0.0001764877,0.000019043511,0.000030931165,0.000045979694,0.000024561492,0.0012422948],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99925613,0.000017411377,0.00017084496,0.00019094738,0.00015174883,0.00021289205],"domain_scores_gemma":[0.99947655,0.000027503318,0.000010412072,0.00039181852,0.00002942017,0.00006427362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006483246,0.0001297481,0.0002299315,0.0002007518,0.000039770275,0.000029658766,0.0001355718,0.000053362688,0.00038530867],"category_scores_gemma":[0.0000059550853,0.000108445325,0.00013350554,0.0005428987,0.000010228507,0.00017098802,0.000015079953,0.00012685073,0.0002709111],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021394676,0.000018035491,0.00050383626,0.000006367371,0.00009398832,0.0000010327689,0.000022899967,0.99533933,0.002920526,0.00036870717,0.00014218694,0.000580974],"study_design_scores_gemma":[0.00007507221,0.000020834226,0.00016831924,0.0000059988806,0.000100952355,8.9405255e-8,0.0000055211317,0.9809426,0.016432986,0.0003873684,0.0017062846,0.00015396056],"about_ca_topic_score_codex":0.00004203472,"about_ca_topic_score_gemma":0.00003474866,"teacher_disagreement_score":0.9287674,"about_ca_system_score_codex":0.00006420212,"about_ca_system_score_gemma":0.000005033532,"threshold_uncertainty_score":0.44222718},"labels":[],"label_agreement":null},{"id":"W2976679270","doi":"10.1142/s1793042120501031","title":"A class of maximally singular sets for rational approximation","year":2020,"lang":"en","type":"article","venue":"International Journal of Number Theory","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Mathematics; Class (philosophy); Exponent; Quadratic equation; Pure mathematics; Combinatorics; Value (mathematics); Discrete mathematics; Mathematical analysis; Geometry","score_opus":0.014345873351438313,"score_gpt":0.283359894418013,"score_spread":0.2690140210665747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2976679270","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011753067,0.000050929026,0.98504794,0.0010239424,0.00015468545,0.000072962815,0.00006667268,0.000047555743,0.001782233],"genre_scores_gemma":[0.8943632,0.000022251035,0.10502387,0.00027136164,0.00024438495,0.000006535366,0.000033137,0.000019696801,0.000015557302],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99904555,0.000027568558,0.0004662864,0.000064946515,0.0003236002,0.000072018076],"domain_scores_gemma":[0.9989985,0.00017505117,0.00024058149,0.000047541147,0.00048478923,0.000053500928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020108653,0.00008425332,0.00018174926,0.00007526797,0.00001107409,0.000016337315,0.00026538857,0.000039376304,0.00035654227],"category_scores_gemma":[0.00030458014,0.00007757835,0.0001712416,0.00009264412,0.000034513218,0.00023949733,0.000020267771,0.000109151435,0.0000066035664],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029066298,0.00056174776,0.0014577886,0.00039347121,0.004666174,0.000109039545,0.0031121164,0.13386938,0.20944533,0.325154,0.03768032,0.280644],"study_design_scores_gemma":[0.0020745057,0.00030015942,0.00051785575,0.00023854084,0.0001894603,0.0002205479,0.00028673123,0.21701004,0.101377,0.60474026,0.07254667,0.00049823354],"about_ca_topic_score_codex":2.4114468e-7,"about_ca_topic_score_gemma":1.7242442e-7,"teacher_disagreement_score":0.88261014,"about_ca_system_score_codex":0.00006335409,"about_ca_system_score_gemma":0.000023609391,"threshold_uncertainty_score":0.3903888},"labels":[],"label_agreement":null},{"id":"W2995994084","doi":"10.4153/s0008439519000742","title":"A New Method for High-Degree Spline Interpolation: Proof of Continuity for Piecewise Polynomials","year":2019,"lang":"en","type":"article","venue":"Canadian Mathematical Bulletin","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University; Université de Moncton","funders":"","keywords":"Mathematics; Spline interpolation; Piecewise; Spline (mechanical); Interpolation (computer graphics); Degree (music); Box spline; Applied mathematics; Thin plate spline; Trigonometric interpolation; Mathematical analysis; Polynomial interpolation; Bilinear interpolation; Computer science; Artificial intelligence","score_opus":0.013298229084192148,"score_gpt":0.2711380679081081,"score_spread":0.257839838823916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995994084","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017345235,0.00006580827,0.9934353,0.0012415878,0.000050681607,0.0012699635,0.00010437945,0.000106408894,0.0019912955],"genre_scores_gemma":[0.23973407,0.0000011360447,0.7576515,0.00014006156,0.00009108026,0.00014983483,0.000022852457,0.000051153675,0.0021582814],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998886,0.000015688303,0.00047299013,0.00020361006,0.00009430798,0.00032744394],"domain_scores_gemma":[0.9986952,0.00051814114,0.00007903562,0.00029882247,0.0000939826,0.00031480985],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029537384,0.00017536127,0.0005556221,0.00013268091,0.000022171373,0.00001651307,0.00020860694,0.00011708584,0.0029861773],"category_scores_gemma":[0.00038902735,0.00016399073,0.00016292775,0.0001297213,0.000023228544,0.000030973646,0.000017020382,0.000088701,0.00014805104],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027031222,0.00016503369,0.00010987105,0.0046478384,0.00077712577,0.000005496895,0.00067124155,0.0022502707,0.03285052,0.37502658,0.26048785,0.32273784],"study_design_scores_gemma":[0.002483945,0.0005690286,0.000104764,0.0005290127,0.00034626742,0.000011166153,0.00010569313,0.1643154,0.10478334,0.40427977,0.3212997,0.0011719371],"about_ca_topic_score_codex":0.0004576776,"about_ca_topic_score_gemma":0.0006021392,"teacher_disagreement_score":0.3215659,"about_ca_system_score_codex":0.00011582827,"about_ca_system_score_gemma":0.0000664167,"threshold_uncertainty_score":0.9979252},"labels":[],"label_agreement":null},{"id":"W2996802385","doi":"10.2514/6.2020-1293","title":"Truncated-Newton Method with Adjoint-based Hessian-vector Product for Aerodynamic Shape Optimization Problems","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Hessian matrix; Aerodynamics; Product (mathematics); Newton's method; Computer science; Mathematical optimization; Mathematics; Applied mathematics; Physics; Engineering; Aerospace engineering; Geometry; Nonlinear system","score_opus":0.009198774735277054,"score_gpt":0.23436410808868982,"score_spread":0.22516533335341277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996802385","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008474349,0.00019155524,0.98636234,0.008995691,0.0000516674,0.0011980168,0.00003990352,0.002182632,0.00013076348],"genre_scores_gemma":[0.30119485,0.000025292975,0.6970458,0.00066883507,0.0001009166,0.00053606275,0.0002132593,0.00015455978,0.000060414983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981096,0.000037057114,0.0004055406,0.00063374446,0.0002803734,0.000533679],"domain_scores_gemma":[0.9991262,0.00007498142,0.00011822361,0.0003558728,0.00013310715,0.00019164199],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015990643,0.0003682235,0.000470577,0.000114905844,0.00011296132,0.00006367835,0.00032317854,0.000106819585,0.000093445444],"category_scores_gemma":[0.00011399773,0.00031206667,0.00014559999,0.0013333084,0.000049649527,0.00032202434,0.00004356301,0.00025900497,0.00001388894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007617931,0.000033850785,0.000095134135,0.00027220658,0.000087065535,0.0000034933653,0.000042714906,0.9536882,0.029046929,0.00012895973,0.002950493,0.013574759],"study_design_scores_gemma":[0.00046079635,0.00035803404,0.000026795033,0.00006822203,0.000077996134,0.0000028982925,0.00002433419,0.9483408,0.043143094,0.0002258426,0.0068477043,0.00042353413],"about_ca_topic_score_codex":0.000009862756,"about_ca_topic_score_gemma":0.00002590523,"teacher_disagreement_score":0.30034742,"about_ca_system_score_codex":0.00012030961,"about_ca_system_score_gemma":0.00004326201,"threshold_uncertainty_score":0.9999331},"labels":[],"label_agreement":null},{"id":"W2998278947","doi":"10.2514/6.2020-1140","title":"Smooth Gradation of Anisotropic Mesh Based on Log-Euclidean Metrics","year":2020,"lang":"en","type":"article","venue":"AIAA Scitech 2020 Forum","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Metric (unit); Polygon mesh; Mathematics; Euclidean distance; Mesh generation; Sizing; Tensor (intrinsic definition); Mathematical optimization; Euclidean space; Gradation; Computer science; Algorithm; Topology (electrical circuits); Applied mathematics; Mathematical analysis; Finite element method; Geometry; Artificial intelligence; Combinatorics; Physics; Engineering","score_opus":0.011699809383869662,"score_gpt":0.23553217537421756,"score_spread":0.2238323659903479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998278947","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0055770427,0.000111134716,0.98679966,0.0033683006,0.00008087945,0.00027653764,0.00011843126,0.0012710902,0.0023969216],"genre_scores_gemma":[0.9603681,0.00004730127,0.038394224,0.00097599754,0.000041194668,0.00001890573,0.00008769734,0.000042700096,0.0000238982],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988198,0.000022153263,0.00031950438,0.0002529251,0.000327441,0.00025816858],"domain_scores_gemma":[0.9993513,0.0001169686,0.00008047695,0.00027648144,0.000053644813,0.00012109254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000061919294,0.00018074365,0.00030036288,0.00017868985,0.00003916228,0.000016387778,0.00026422163,0.00008551112,0.00026679033],"category_scores_gemma":[0.00023076082,0.00017436747,0.00013067015,0.0018322589,0.00003816067,0.000135195,0.000046954294,0.00020223687,0.000043892363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020242122,0.00039352925,0.012208294,0.0007156435,0.00035284949,0.00008445699,0.00023657174,0.18659636,0.13240018,0.012645684,0.2963834,0.3577806],"study_design_scores_gemma":[0.00043871265,0.00063479535,0.00062323327,0.000049596085,0.00006436131,6.2564374e-7,0.00006566675,0.7554903,0.13436942,0.0032730477,0.10451955,0.00047069025],"about_ca_topic_score_codex":0.00000774895,"about_ca_topic_score_gemma":0.0000040973578,"teacher_disagreement_score":0.954791,"about_ca_system_score_codex":0.00006780823,"about_ca_system_score_gemma":0.000012141998,"threshold_uncertainty_score":0.7110499},"labels":[],"label_agreement":null},{"id":"W2999583790","doi":"","title":"Developpement d'un algorithme de FEMU-TU pour l'identification de propriétés thermomécaniques d'un CMC à hautes températures à partir de mesures de champs","year":2019,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Physics; Humanities; Philosophy","score_opus":0.00841270066008032,"score_gpt":0.24789584344699397,"score_spread":0.23948314278691366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999583790","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29789603,0.0071714805,0.6732629,0.017478293,0.00013126318,0.0006527244,0.00003931283,0.00077177177,0.002596245],"genre_scores_gemma":[0.61834,0.0031938422,0.37164328,0.00022967494,0.000057571197,0.00020602482,0.00010293002,0.000115406576,0.0061112777],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9914855,0.0049151736,0.0009453528,0.0008557814,0.00054355705,0.0012546815],"domain_scores_gemma":[0.99492,0.0011386212,0.000511459,0.0017316247,0.0012411053,0.00045719606],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0076418472,0.0006065114,0.00060632324,0.00026844765,0.0004886311,0.000580416,0.0013469371,0.00048660985,0.00053762685],"category_scores_gemma":[0.0014002897,0.00066713354,0.00032710782,0.000915407,0.00031621565,0.00043835264,0.00038580483,0.00082745135,0.00013721289],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029219595,0.0010959865,0.025104485,0.00049370166,0.0005812443,0.000024603722,0.018267626,0.0019736295,0.57775635,0.042934705,0.0030524344,0.328686],"study_design_scores_gemma":[0.0003985,0.00000229638,0.033935912,0.0008582089,0.00014363506,0.000045212833,0.00027665868,0.06041252,0.8678942,0.01881528,0.016546411,0.0006712007],"about_ca_topic_score_codex":0.0021403364,"about_ca_topic_score_gemma":0.00063848414,"teacher_disagreement_score":0.3280148,"about_ca_system_score_codex":0.0012135181,"about_ca_system_score_gemma":0.0005469095,"threshold_uncertainty_score":0.999578},"labels":[],"label_agreement":null},{"id":"W3000633080","doi":"","title":"Sublinear geometrie algorithms","year":2003,"lang":"en","type":"article","venue":"Symposium on the Theory of Computing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sublinear function; Computer science; Algorithm; Mathematics; Discrete mathematics","score_opus":0.011474653200597646,"score_gpt":0.23173455697355042,"score_spread":0.22025990377295276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000633080","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14223036,0.0002599478,0.819224,0.00013134966,0.00019365868,0.00017456918,0.0000027323874,0.00067748287,0.0371059],"genre_scores_gemma":[0.99102736,0.00002728286,0.008681472,0.00009025931,0.000048426904,0.000002546893,0.0000010802631,0.000032579217,0.000089006055],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990196,0.00015072606,0.00027296107,0.00013852688,0.00018527379,0.00023290927],"domain_scores_gemma":[0.9987285,0.0007636228,0.00006988111,0.0003494475,0.00004602791,0.000042517342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095141405,0.00015195178,0.0002318408,0.00013639731,0.00008371127,0.000014150226,0.00026899454,0.00004494256,0.00006161525],"category_scores_gemma":[0.00015278632,0.00010780413,0.00011127172,0.00060055486,0.00009280781,0.000042170483,0.000029936484,0.00020472822,0.000027273618],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027174723,0.00011843437,0.00017461325,0.00007411223,0.00028177662,0.0000055689766,0.0006288548,0.26966086,0.053331733,0.6436403,0.00053348567,0.0315231],"study_design_scores_gemma":[0.00026961733,0.00016356297,0.00009175416,0.00009366042,0.00005618104,0.000010058517,0.00026852527,0.09903595,0.7609394,0.13317604,0.005427996,0.00046723863],"about_ca_topic_score_codex":8.710834e-7,"about_ca_topic_score_gemma":5.2376908e-8,"teacher_disagreement_score":0.84879696,"about_ca_system_score_codex":0.000032301577,"about_ca_system_score_gemma":0.000005725366,"threshold_uncertainty_score":0.43961248},"labels":[],"label_agreement":null},{"id":"W3002030180","doi":"10.1115/1.4046091","title":"A Real-Time C3 Continuous Tool Path Smoothing and Interpolation Algorithm for Five-Axis Machine Tools","year":2020,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Jerk; Smoothing; Interpolation (computer graphics); Algorithm; Machine tool; Orientation (vector space); Position (finance); Acceleration; Computer science; Mathematics; Computer vision; Motion (physics); Geometry; Engineering","score_opus":0.006956654569141106,"score_gpt":0.21793551750590046,"score_spread":0.21097886293675935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002030180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5033561,0.00018728773,0.49600792,0.000120266435,0.00006229212,0.00009685709,0.000005535324,0.00013219652,0.000031510644],"genre_scores_gemma":[0.81885886,0.0001988328,0.180757,0.000039331677,0.00011552838,0.0000034273087,7.681508e-7,0.00002023988,0.000006035546],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990596,0.000004344703,0.00032631107,0.00015292979,0.00023206208,0.00022471751],"domain_scores_gemma":[0.99951947,0.00010427553,0.00008859599,0.00006775635,0.000070917464,0.0001489913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039383656,0.00014711499,0.00028928497,0.00016594716,0.000074930016,0.00013815823,0.00015830998,0.00003757703,0.0000035960459],"category_scores_gemma":[0.00019430589,0.00012819166,0.00005380906,0.00015671705,0.00004523191,0.00086939824,0.000050868177,0.00018857601,4.7131752e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018733544,0.000009404856,0.000045353172,0.00016842422,0.000062032814,0.000022421063,0.0010557475,0.04493675,0.37340882,0.000025703934,0.00009441013,0.5801522],"study_design_scores_gemma":[0.00022586614,0.00014008014,0.0008494424,0.00008782298,0.000026497286,0.00004217952,0.000052987874,0.93297505,0.064392954,0.00007466459,0.0009480539,0.00018437924],"about_ca_topic_score_codex":0.0000043398677,"about_ca_topic_score_gemma":9.914071e-8,"teacher_disagreement_score":0.88803834,"about_ca_system_score_codex":0.000059501177,"about_ca_system_score_gemma":0.000011875403,"threshold_uncertainty_score":0.52275044},"labels":[],"label_agreement":null},{"id":"W3002576066","doi":"10.48550/arxiv.2001.09253","title":"Fast Cubic Spline Interpolation","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Spline interpolation; Interpolation (computer graphics); Algorithm; Control point; Spline (mechanical); Generalization; Monotone cubic interpolation; Parallel computing; Mathematics; Nearest-neighbor interpolation; Artificial intelligence; Bilinear interpolation; Computer vision; Engineering","score_opus":0.04762446226019127,"score_gpt":0.18405835810574517,"score_spread":0.1364338958455539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002576066","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05275358,0.00006072754,0.94055605,0.000048334165,0.0001481248,0.00015284425,0.000021360082,0.001494664,0.004764344],"genre_scores_gemma":[0.995277,0.00025334922,0.003893313,0.00004013494,0.000102923135,9.754963e-7,0.0000771711,0.000046575744,0.00030857752],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990416,0.000025524198,0.00018515917,0.00049896166,0.00005033957,0.00019839875],"domain_scores_gemma":[0.999268,0.000029041617,0.000082519124,0.00044018065,0.000051092356,0.00012914426],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000036361685,0.0002791133,0.00034663297,0.00017342609,0.00003499695,0.000022946497,0.00042622435,0.00021024045,0.00011600439],"category_scores_gemma":[0.00001623732,0.00034054043,0.00020969516,0.00046625079,0.000048701702,0.00013568129,0.00044635593,0.0006361369,0.00014312622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020031923,0.000023992565,0.0006104189,0.00013715317,0.00018040609,0.00010061501,0.00006685551,0.98931646,0.0018946141,0.0054640803,0.00073939335,0.0014459575],"study_design_scores_gemma":[0.000102251804,0.000019125255,0.00016472209,0.000057077625,0.00011504928,7.398792e-7,0.000032712156,0.9744644,0.0010682659,0.022294814,0.0013135981,0.0003672354],"about_ca_topic_score_codex":0.0000238054,"about_ca_topic_score_gemma":0.000013991257,"teacher_disagreement_score":0.9425234,"about_ca_system_score_codex":0.00019232533,"about_ca_system_score_gemma":0.000014325925,"threshold_uncertainty_score":0.99990463},"labels":[],"label_agreement":null},{"id":"W3002854889","doi":"10.1093/imrn/rnz379","title":"Discrete Invariant Curve Flows, Orthogonal Polynomials, and Moving Frame","year":2019,"lang":"en","type":"article","venue":"International Mathematics Research Notices","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers; Youth Innovation Promotion Association of the Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Mathematics; Moving frame; Invariant (physics); Affine transformation; Euclidean geometry; Affine space; Pure mathematics; Orthogonal polynomials; Frame (networking); Plane (geometry); Euclidean space; Mathematical analysis; Geometry; Computer science","score_opus":0.029804384531660802,"score_gpt":0.3434417852972414,"score_spread":0.3136374007655806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002854889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8668907,0.00045325974,0.1021307,0.0011084963,0.00031110318,0.00053077424,0.000056738358,0.00045700485,0.028061181],"genre_scores_gemma":[0.9404577,0.00014156508,0.058644462,0.000021570124,0.000110110675,0.000031833653,0.00001366987,0.00003645261,0.00054261024],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99831605,0.00004590914,0.00032343724,0.0002300047,0.00078178896,0.0003027859],"domain_scores_gemma":[0.99867785,0.000754847,0.000050997987,0.00024365187,0.00016754791,0.000105123196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006829909,0.00014488098,0.00022477006,0.00029045466,0.00005665444,0.00018233825,0.00043794335,0.000073816394,0.00044192295],"category_scores_gemma":[0.00043282082,0.00012495594,0.000056028308,0.00020506566,0.00007884265,0.0003897727,0.00025366913,0.0004083065,0.00021741957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019191181,0.0009746827,0.023960803,0.0034869441,0.0031250047,0.00020465771,0.006224176,0.11646543,0.32427835,0.48019442,0.0056667617,0.03522685],"study_design_scores_gemma":[0.00019179974,0.00004853717,0.00096254156,0.00019890573,0.000011999499,0.000008885569,0.0002686078,0.94449234,0.004045965,0.045670778,0.0038374327,0.00026221687],"about_ca_topic_score_codex":0.000027985197,"about_ca_topic_score_gemma":0.000023871304,"teacher_disagreement_score":0.8280269,"about_ca_system_score_codex":0.00009578671,"about_ca_system_score_gemma":0.000017343293,"threshold_uncertainty_score":0.5095556},"labels":[],"label_agreement":null},{"id":"W3003174411","doi":"10.5539/jmr.v12n1p84","title":"Some Associated Curves of Normal Indicatrix of a Regular Curve","year":2020,"lang":"en","type":"article","venue":"Journal of Mathematics Research","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Frenet–Serret formulas; Mathematics; Euclidean geometry; Mathematical analysis; Space (punctuation); Vector field; Euclidean space; Geometry; Pure mathematics; Curvature","score_opus":0.06581178634153434,"score_gpt":0.35911272161726376,"score_spread":0.2933009352757294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003174411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8940121,0.013148449,0.08844878,0.002356372,0.00006148258,0.00051511364,0.00004614109,0.00014231069,0.0012692276],"genre_scores_gemma":[0.96889335,0.002982418,0.027967574,0.000016288604,0.00007566314,0.0000026060973,0.0000014689687,0.000031671432,0.000028935572],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99755335,0.00010925986,0.0008875431,0.00006313535,0.0011703268,0.00021636227],"domain_scores_gemma":[0.99826556,0.00043774725,0.00041352032,0.00016294453,0.0005815495,0.00013865938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017173521,0.00009266085,0.0005770257,0.00030067266,0.000019642224,0.000007532222,0.00046755862,0.000074564385,0.000051418458],"category_scores_gemma":[0.0020022714,0.00007563565,0.00019088143,0.0008329452,0.00011645285,0.00018460053,0.00009185262,0.00059939874,0.0000045760544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020416742,0.0032032132,0.0039840913,0.024697164,0.0043879435,0.00026517533,0.009639145,0.018199362,0.84296155,0.008338438,0.07607382,0.008045904],"study_design_scores_gemma":[0.0014183027,0.0021231137,0.00120695,0.004059301,0.00028963367,0.000044920715,0.0013400712,0.0871088,0.83689106,0.06361771,0.0013909182,0.0005092622],"about_ca_topic_score_codex":0.0000021360993,"about_ca_topic_score_gemma":3.9189183e-7,"teacher_disagreement_score":0.074881256,"about_ca_system_score_codex":0.000061357896,"about_ca_system_score_gemma":0.000044271103,"threshold_uncertainty_score":0.30843323},"labels":[],"label_agreement":null},{"id":"W3006019036","doi":"10.1109/tvcg.2020.2972877","title":"RIAS: Repeated Invertible Averaging for Surface Multiresolution of Arbitrary Degree","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Calgary","funders":"","keywords":"Subdivision; Vertex (graph theory); Degree (music); Invertible matrix; Subdivision surface; Surface (topology); Computer science; Mathematics; Combinatorics; Discrete mathematics; Topology (electrical circuits); Algorithm; Pure mathematics; Geometry; Physics","score_opus":0.03652700392307011,"score_gpt":0.2623941286927611,"score_spread":0.22586712476969095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006019036","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029094514,0.000054384727,0.97004884,0.000026539465,0.00007199248,0.00018086638,0.00001561686,0.00049370667,0.000013514564],"genre_scores_gemma":[0.9888911,0.00026974414,0.010417374,0.0003467396,0.00001981561,0.0000113375,0.00001434493,0.000026074644,0.0000034559218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993285,0.000025651623,0.0002562166,0.00017689048,0.00010413406,0.00010860156],"domain_scores_gemma":[0.99966234,0.000055350025,0.00004263762,0.00009301006,0.000074270334,0.00007240813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000045636498,0.00012559113,0.00018253698,0.00010764853,0.00007678947,0.000015146102,0.000060676073,0.00006821912,0.000004491885],"category_scores_gemma":[0.0000020718533,0.00013401745,0.000083401865,0.0005354442,0.00003542248,0.0001332487,0.0000010854548,0.00009632125,6.4470106e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002850504,0.000450583,0.00038601772,0.0011879263,0.00064893276,0.000003826254,0.00344658,0.8827347,0.01946509,0.045176446,0.0011738159,0.045041006],"study_design_scores_gemma":[0.0002897256,0.00012211151,0.000053441236,0.000030713538,0.000034551536,7.5589406e-7,0.000012890994,0.9421725,0.05665877,0.0002321272,0.00026308978,0.00012929557],"about_ca_topic_score_codex":0.0000070464357,"about_ca_topic_score_gemma":0.000003874835,"teacher_disagreement_score":0.9597966,"about_ca_system_score_codex":0.000013073267,"about_ca_system_score_gemma":0.0000055886685,"threshold_uncertainty_score":0.5465073},"labels":[],"label_agreement":null},{"id":"W3013366427","doi":"10.5539/mas.v14n4p90","title":"On Null Curves in Minkowski 3-Space and Its Fractal Folding","year":2020,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Minkowski space; Frenet–Serret formulas; Null (SQL); Fractal; Folding (DSP implementation); Mathematical analysis; Space (punctuation); Mathematics; Deformation (meteorology); Connection (principal bundle); Physics; Pure mathematics; Geometry; Computer science; Curvature","score_opus":0.01231571069255674,"score_gpt":0.23336781240172597,"score_spread":0.22105210170916922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013366427","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39678156,0.0009484437,0.58595324,0.0009769833,0.000025844562,0.00031878863,0.0000031297586,0.0007038248,0.0142881805],"genre_scores_gemma":[0.99568087,0.00010318305,0.0036744957,0.00048940687,0.000011770333,0.000020292035,4.5736783e-7,0.0000128883385,0.0000066637476],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906546,0.0000035692121,0.0001181404,0.00031568692,0.0002540398,0.00024311087],"domain_scores_gemma":[0.9996976,0.000041817326,0.0000190838,0.0001075879,0.000011037343,0.00012287032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011293237,0.00011412791,0.00015536934,0.00008365159,0.000052324536,0.000026759933,0.00022831216,0.000027213728,0.000008805825],"category_scores_gemma":[0.000058966805,0.000109567794,0.000015606582,0.0006720092,0.00007710237,0.0001721643,0.00007482417,0.00016563408,0.00001628804],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000065226886,0.000012426134,0.000046402565,0.00005260536,0.0000024511974,0.000004562622,0.0004519002,0.017573247,0.96879166,0.0046264874,0.000111915346,0.00831981],"study_design_scores_gemma":[0.00007771544,0.000017528568,0.0001750832,0.00003399821,0.0000027372196,5.5058865e-7,0.000017599237,0.8841468,0.110300586,0.004937521,0.00012762037,0.00016224885],"about_ca_topic_score_codex":0.0000014515457,"about_ca_topic_score_gemma":0.0000014285555,"teacher_disagreement_score":0.8665736,"about_ca_system_score_codex":0.000047712867,"about_ca_system_score_gemma":0.000008191527,"threshold_uncertainty_score":0.4468045},"labels":[],"label_agreement":null},{"id":"W3014465374","doi":"10.1007/s12220-020-00502-2","title":"Almost-Orthogonality Principles for Certain Directional Maximal Functions","year":2020,"lang":"en","type":"article","venue":"Journal of Geometric Analysis","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Orthogonality; Mathematics; Computer science; Topology (electrical circuits); Pure mathematics; Geometry; Combinatorics","score_opus":0.033428959930054854,"score_gpt":0.26301706602882824,"score_spread":0.2295881060987734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014465374","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03689922,0.0007991919,0.96096563,0.0005947782,0.00006468665,0.000072571296,0.000045098783,0.00012384242,0.00043496184],"genre_scores_gemma":[0.9488952,0.0001772826,0.050202362,0.0001224355,0.00034285325,0.000011824709,0.00002443442,0.000023733672,0.00019985695],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99826986,0.000034238758,0.00083210756,0.00017977471,0.0004539693,0.00023003238],"domain_scores_gemma":[0.99851507,0.00032806525,0.0003298073,0.00014267712,0.00042808772,0.0002562839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040369647,0.00017691756,0.0006741102,0.0015463812,0.000091129754,0.000034771794,0.0002345326,0.00007532145,0.00028233664],"category_scores_gemma":[0.00081088167,0.00015304149,0.0011178552,0.009675117,0.000034381585,0.00023513606,0.000031283744,0.00026337357,0.000007787153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012889707,0.00014806552,0.059298992,0.00007150092,0.009845594,0.000017973154,0.000069083006,0.89423585,0.0013067394,0.00014488139,0.0051215924,0.029610842],"study_design_scores_gemma":[0.0012237814,0.0008953236,0.11595751,0.000020861165,0.014615159,0.000052453317,0.00046059303,0.5754507,0.004772173,0.000988562,0.28447416,0.0010887058],"about_ca_topic_score_codex":0.0000073494775,"about_ca_topic_score_gemma":0.0000065783756,"teacher_disagreement_score":0.911996,"about_ca_system_score_codex":0.00014144256,"about_ca_system_score_gemma":0.000027554106,"threshold_uncertainty_score":0.62408507},"labels":[],"label_agreement":null},{"id":"W3016835057","doi":"10.82308/43696","title":"An efficient radial basis function mesh deformation scheme within an adjoint-based aerodynamic optimization framework","year":2012,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Aerodynamics; Scheme (mathematics); Radial basis function; Basis (linear algebra); Deformation (meteorology); Function (biology); Mathematical optimization; Computer science; Mathematics; Applied mathematics; Physics; Mechanics; Geometry; Mathematical analysis; Artificial intelligence; Meteorology","score_opus":0.009800587148447287,"score_gpt":0.22530023641080757,"score_spread":0.2154996492623603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016835057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85975295,0.00006091895,0.13587178,0.0000076187257,0.00055115373,0.00043569488,0.00010168041,0.0024203307,0.0007978672],"genre_scores_gemma":[0.8102777,0.000013544483,0.18893121,0.00016750551,0.00007511458,0.00009964019,0.00029966506,0.00012898954,0.000006614644],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971781,0.00027361428,0.00075119606,0.00049751275,0.0005921162,0.0007074552],"domain_scores_gemma":[0.99816006,0.000095065436,0.0002366375,0.0007976937,0.00018935668,0.0005211778],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000900058,0.00050314865,0.00043278994,0.0004222599,0.00057092437,0.00007892637,0.00034186026,0.00044303996,0.00021602999],"category_scores_gemma":[0.0002958816,0.00052484375,0.00018423749,0.0010600827,0.000060431383,0.0026046585,0.00004637883,0.00083957537,0.00010269006],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007184561,0.00025762018,0.00016403348,0.000047376223,0.00005698983,0.0000012448348,0.00001104942,0.9370705,0.027970215,0.011288937,7.0229976e-7,0.0230595],"study_design_scores_gemma":[0.00040752362,0.00022401559,0.00096443394,0.00007411978,0.00013604114,0.0000066512953,0.000059174534,0.941769,0.053540986,0.0016410033,0.00039366982,0.0007833716],"about_ca_topic_score_codex":0.000033978817,"about_ca_topic_score_gemma":0.00003209378,"teacher_disagreement_score":0.053059433,"about_ca_system_score_codex":0.0009449971,"about_ca_system_score_gemma":0.000011033672,"threshold_uncertainty_score":0.99972034},"labels":[],"label_agreement":null},{"id":"W3021542252","doi":"","title":"Neural Subdivision.","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Subdivision; Bijection; Polygon mesh; Computer science; Vertex (graph theory); Algorithm; Subdivision surface; Topology (electrical circuits); Invariant (physics); Inference; Artificial neural network; Artificial intelligence; Mathematics; Theoretical computer science; Discrete mathematics; Combinatorics; Graph","score_opus":0.06132265390151044,"score_gpt":0.1813129966486093,"score_spread":0.11999034274709887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021542252","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18773548,0.00017185192,0.803866,0.000079970174,0.00026773792,0.00021674109,0.000031587486,0.0030187732,0.004611845],"genre_scores_gemma":[0.99814135,0.00027606942,0.0011028523,0.000068914465,0.00008204716,8.490703e-7,0.00003458938,0.00005042764,0.00024287772],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989233,0.000032432097,0.00016403482,0.0005663948,0.000061098464,0.00025272483],"domain_scores_gemma":[0.9991348,0.00004111091,0.00006188398,0.00053556357,0.000045614444,0.00018103851],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00003469605,0.00030620187,0.00038260355,0.00013545816,0.00004522735,0.000026981403,0.00059357245,0.00021475187,0.00009426882],"category_scores_gemma":[0.000022700558,0.00035947576,0.00026229315,0.00047907454,0.000060484737,0.00012517508,0.0006044825,0.0007443458,0.00013250113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011917351,0.000018092698,0.00075117906,0.00009865279,0.00012409687,0.0002893519,0.00002909635,0.98962206,0.0003087404,0.0058741234,0.0018488463,0.0010238681],"study_design_scores_gemma":[0.0000989097,0.000019209003,0.00041410883,0.00002653437,0.00010302644,9.877282e-7,0.000016388187,0.96516395,0.0006870858,0.030959563,0.0020797267,0.00043050692],"about_ca_topic_score_codex":0.000019743724,"about_ca_topic_score_gemma":0.000007958509,"teacher_disagreement_score":0.8104059,"about_ca_system_score_codex":0.00015450166,"about_ca_system_score_gemma":0.000013096185,"threshold_uncertainty_score":0.99988574},"labels":[],"label_agreement":null},{"id":"W3023071030","doi":"10.5539/jmr.v12n3p39","title":"Spherical Images of W-Direction Curves in Euclidean 3-Space","year":2020,"lang":"en","type":"article","venue":"Journal of Mathematics Research","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Frenet–Serret formulas; Mathematics; Helix (gastropod); Euclidean geometry; Euclidean space; Mathematical analysis; Vector field; Space (punctuation); Geometry; Field (mathematics); Pure mathematics; Curvature; Computer science","score_opus":0.07397963212953515,"score_gpt":0.3836714514814211,"score_spread":0.30969181935188594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023071030","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2778515,0.008937885,0.6924859,0.008106535,0.00009522337,0.000516197,0.0000062387844,0.00023068597,0.011769833],"genre_scores_gemma":[0.83216566,0.0038488333,0.16379645,0.000021918022,0.00008087925,0.0000034758293,2.7917514e-7,0.000031688076,0.0000508243],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998545,0.000079156205,0.00052922044,0.00006059763,0.00061822956,0.00016778773],"domain_scores_gemma":[0.99908864,0.00035152835,0.00011063361,0.000102371276,0.00024727106,0.000099527795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095435476,0.00007232506,0.00035686104,0.00016706812,0.0000127705425,0.000011082139,0.0002287,0.000039028586,0.00006615984],"category_scores_gemma":[0.0010978291,0.00005877623,0.000090426736,0.0008101147,0.00006123787,0.00013685694,0.00004711246,0.00055052526,0.0000073481324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109436914,0.0010939675,0.0026059176,0.009240712,0.0003747734,0.0002854704,0.003876074,0.03352632,0.84606475,0.0011088798,0.07505064,0.026663082],"study_design_scores_gemma":[0.0009778301,0.0012812108,0.0017530413,0.0034228284,0.00007675627,0.00010786535,0.0030294738,0.18277052,0.76808125,0.030655928,0.0073174317,0.00052585907],"about_ca_topic_score_codex":0.0000042928023,"about_ca_topic_score_gemma":0.0000015505019,"teacher_disagreement_score":0.55431414,"about_ca_system_score_codex":0.000069247646,"about_ca_system_score_gemma":0.000019416946,"threshold_uncertainty_score":0.23968251},"labels":[],"label_agreement":null},{"id":"W3035996269","doi":"10.1007/s00371-020-01879-5","title":"Adaptive estimation of Hodge star operator on simplicial surfaces","year":2020,"lang":"en","type":"article","venue":"The Visual Computer","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Operator (biology); Mathematics; Star (game theory); Diagonal; Hodge dual; Mathematical analysis; Pure mathematics; Algebra over a field; Applied mathematics; Algorithm; Hodge theory; Geometry","score_opus":0.01930136071116049,"score_gpt":0.27409922035340223,"score_spread":0.2547978596422417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035996269","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45069188,0.000016558402,0.548752,0.00014379814,0.000023214534,0.000083694955,0.000004367737,0.00021910299,0.00006538866],"genre_scores_gemma":[0.9773571,0.0000041715625,0.022196604,0.00031983788,0.00009912409,0.0000035885414,0.0000032115508,0.000014584969,0.0000017977246],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953604,0.000028459845,0.0001392086,0.00009424571,0.00011279987,0.000089230925],"domain_scores_gemma":[0.9997638,0.00007047202,0.000025052164,0.00008319858,0.000023060404,0.000034414985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003921131,0.0000930951,0.00015513953,0.00002015017,0.000026419919,0.0000099453855,0.00012870734,0.00002444325,0.00002491506],"category_scores_gemma":[0.0000072970993,0.00006405571,0.00004114826,0.0001831871,0.000028191047,0.000059603422,0.000042548596,0.00009627239,0.00004680554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032840944,0.000022077,0.000011389089,0.000013844721,0.00004713547,9.90988e-7,0.00038369297,0.9618767,0.005239665,0.0004008852,0.001195472,0.030775312],"study_design_scores_gemma":[0.00005711036,0.00030804498,0.00030095672,0.000008292071,0.000009585825,1.359808e-7,0.000009620227,0.96784323,0.03092795,0.00019896447,0.00025931132,0.0000767978],"about_ca_topic_score_codex":0.0000035199978,"about_ca_topic_score_gemma":4.9699304e-7,"teacher_disagreement_score":0.5266652,"about_ca_system_score_codex":0.000016107218,"about_ca_system_score_gemma":0.000003255166,"threshold_uncertainty_score":0.26121163},"labels":[],"label_agreement":null},{"id":"W3036384954","doi":"10.71781/17239","title":"Polynômes orthogonaux : processus limites et modèles exactement résolubles","year":2019,"lang":"fr","type":"dissertation","venue":"Open MIND","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Vlaamse regering; Centre de Recherches Mathématiques","keywords":"Mod; Humanities; Mathematics; Philosophy; Combinatorics","score_opus":0.030006585689008568,"score_gpt":0.3249326310403992,"score_spread":0.29492604535139066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036384954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7114267,0.014225069,0.077556565,0.0020819427,0.0017542777,0.006393189,0.0004894352,0.00019183417,0.185881],"genre_scores_gemma":[0.65754306,0.0012073304,0.28293878,0.000061155486,0.000103527185,0.00034305968,0.002613036,0.00023305081,0.05495699],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99707663,0.00008654711,0.000844942,0.00091088435,0.000465358,0.0006156345],"domain_scores_gemma":[0.9983147,0.00021679705,0.00040950032,0.0006408738,0.00023548513,0.00018264382],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00027510995,0.0007723279,0.00105234,0.00026042524,0.00013826418,0.00047896028,0.0011880071,0.00046726732,0.0036936107],"category_scores_gemma":[0.00009621068,0.00077505247,0.00025908576,0.0005458069,0.000055547123,0.0009568917,0.0002833746,0.00060315424,0.0010330912],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019565345,0.00063926494,0.0042019207,0.0013680414,0.0013537816,0.000052847085,0.0061018714,0.041957017,0.036256257,0.005329074,0.000533125,0.90201116],"study_design_scores_gemma":[0.0013710278,0.0007151654,0.00909452,0.0030738856,0.0018447274,0.000019140043,0.011385624,0.060040615,0.49016815,0.003524997,0.4139594,0.004802733],"about_ca_topic_score_codex":0.00031787207,"about_ca_topic_score_gemma":0.0009109936,"teacher_disagreement_score":0.8972084,"about_ca_system_score_codex":0.00023012084,"about_ca_system_score_gemma":0.0002084289,"threshold_uncertainty_score":0.9997447},"labels":[],"label_agreement":null},{"id":"W3046061437","doi":"10.1145/3373207.3404058","title":"On the bit complexity of finding points in connected components of a smooth real hypersurface","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Hypersurface; Computation; Connected component; Point (geometry); Algebraic number; Component (thermodynamics); Mathematics; Bit (key); Upper and lower bounds; Topology (electrical circuits); Computer science; Algorithm; Discrete mathematics; Combinatorics; Pure mathematics; Geometry; Mathematical analysis; Physics","score_opus":0.06732592902197937,"score_gpt":0.26599044023314145,"score_spread":0.19866451121116208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046061437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847374,0.000007945181,0.010448083,0.00057444605,0.000007139114,0.0001118098,0.000009323601,0.00015798022,0.0039458782],"genre_scores_gemma":[0.9933106,0.000014039071,0.0065486254,0.000101920574,0.000002832032,0.0000026115713,0.0000048555216,0.000011070417,0.0000034580669],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993863,0.000033883796,0.00024372783,0.000098126235,0.00013338344,0.00010454181],"domain_scores_gemma":[0.99958223,0.00018889047,0.000046387468,0.0001297736,0.00002057448,0.000032171774],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006765649,0.00008664421,0.0002633023,0.000044615917,0.0000105853605,0.000002137444,0.00015061838,0.0000311397,0.00012005637],"category_scores_gemma":[0.00008536625,0.00006198323,0.000049268045,0.00041112557,0.00007091889,0.000030228188,0.00003588189,0.00012628522,0.000005554178],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017422618,0.00027028038,0.009531912,0.0001983609,0.0001756953,0.000007411597,0.0013242995,0.049283676,0.88857174,0.048189484,0.0012248586,0.0010480604],"study_design_scores_gemma":[0.0007307489,0.00026761845,0.036986385,0.00012948293,0.000026112666,4.2604992e-7,0.0003322181,0.5301477,0.42134866,0.00949229,0.00021083413,0.00032758038],"about_ca_topic_score_codex":0.00018548776,"about_ca_topic_score_gemma":0.000022479593,"teacher_disagreement_score":0.480864,"about_ca_system_score_codex":0.000026194904,"about_ca_system_score_gemma":0.0000021486337,"threshold_uncertainty_score":0.2527603},"labels":[],"label_agreement":null},{"id":"W3079916451","doi":"10.1007/s42452-020-03330-9","title":"Improvement of flattenability using particle swarm optimizer for surface unfolding in bolus shaping","year":2020,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CancerCare Manitoba; University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Bolus (digestion); Particle swarm optimization; Computer science; Materials science; Mathematical optimization; Algorithm; Mathematics; Medicine; Surgery","score_opus":0.06946987428425652,"score_gpt":0.300143986831619,"score_spread":0.2306741125473625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3079916451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76467985,0.000060306884,0.23451133,0.00011348751,0.000016940534,0.00025602526,0.0000021867158,0.00011495929,0.00024491744],"genre_scores_gemma":[0.89404756,0.0000042977267,0.10583356,0.000074632124,0.000012797124,0.000017804969,3.9155188e-7,0.000008225094,7.5964266e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99899375,0.0000053236463,0.00030700967,0.00025479373,0.000170775,0.00026836485],"domain_scores_gemma":[0.99970126,0.000070637594,0.000051856387,0.00009524891,0.000019672461,0.00006130058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003414109,0.00010111165,0.00023055279,0.00003103048,0.00006072039,0.000019738836,0.0002019469,0.000028403918,0.000009707412],"category_scores_gemma":[0.000034309152,0.000091717935,0.000047688158,0.0007195565,0.00012484731,0.00012462426,0.00005675415,0.00006503657,8.89001e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053625777,0.000007502756,0.00036779972,0.00003377232,0.0000039624138,1.0381264e-7,0.00013903624,0.51837426,0.47915384,0.00028723964,0.0000045506695,0.0016225893],"study_design_scores_gemma":[0.00009573851,0.00002255088,0.000030696876,0.000006413056,0.000005172254,4.1443837e-8,0.00020370205,0.5432844,0.45537287,0.0008766293,0.000023904635,0.00007783069],"about_ca_topic_score_codex":0.000016777165,"about_ca_topic_score_gemma":0.0000036609945,"teacher_disagreement_score":0.12936768,"about_ca_system_score_codex":0.00006361476,"about_ca_system_score_gemma":0.000015774474,"threshold_uncertainty_score":0.37401488},"labels":[],"label_agreement":null},{"id":"W3082641451","doi":"10.5539/mas.v14n9p55","title":"On the Deformation Retractions of Frenet Curves in Minkowski 4 - Space","year":2020,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Frenet–Serret formulas; Minkowski space; Deformation (meteorology); Mathematical analysis; Space (punctuation); Physics; Mathematics; Geometry; Curvature; Computer science","score_opus":0.01468849439523156,"score_gpt":0.22380357501911735,"score_spread":0.20911508062388579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082641451","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.089046404,0.00006743865,0.89378834,0.0013408565,0.000015090985,0.00019182189,0.0000031595264,0.00019165901,0.015355204],"genre_scores_gemma":[0.9967394,0.000036632766,0.0029285802,0.00026072442,0.0000052667538,0.000020440293,8.6553024e-7,0.0000048371444,0.0000032917776],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994063,0.000004546377,0.0001286602,0.00011394754,0.00023189043,0.00011467945],"domain_scores_gemma":[0.99972194,0.00004870584,0.000030784104,0.00014837353,0.000014948209,0.000035259312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001468057,0.000058921367,0.000086764565,0.00005621537,0.000042543004,0.000009284246,0.00023450749,0.000017189175,0.000012630726],"category_scores_gemma":[0.000060164602,0.000042812677,0.000016750686,0.00085705525,0.00011313819,0.00012458426,0.000025794794,0.00012871202,0.000010726848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050929375,0.00001933651,0.000042857024,0.00004185891,0.0000031812647,2.782125e-7,0.0007594066,0.16243707,0.81769675,0.013137072,0.0006232328,0.0052338317],"study_design_scores_gemma":[0.000028903294,0.0000110549345,0.00045500175,0.000019597503,0.0000025448512,1.7218684e-7,0.000040910592,0.838205,0.15025997,0.010786858,0.00012226403,0.00006773348],"about_ca_topic_score_codex":0.000004868009,"about_ca_topic_score_gemma":0.000005318324,"teacher_disagreement_score":0.90769297,"about_ca_system_score_codex":0.000040848536,"about_ca_system_score_gemma":0.000009234764,"threshold_uncertainty_score":0.17458503},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W3085075185","doi":"10.1090/tran/8290","title":"Sets of points which project to complete intersections, and unexpected cones","year":2020,"lang":"en","type":"article","venue":"Transactions of the American Mathematical Society","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Istituto Nazionale di Alta Matematica \"Francesco Severi\"; Simons Foundation","keywords":"Mathematics; Intersection (aeronautics); Plane (geometry); Projection (relational algebra); Class (philosophy); Degenerate energy levels; Combinatorics; Complete intersection; Pure mathematics; Geometry; Algorithm","score_opus":0.01979494002752066,"score_gpt":0.27065545419759907,"score_spread":0.25086051417007843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3085075185","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20281324,0.000012347492,0.7952644,0.0013099955,0.000008906871,0.0002239406,0.00003532038,0.00017824673,0.00015357844],"genre_scores_gemma":[0.8618392,0.00002737952,0.13794173,0.00014308466,0.000004801417,0.000022173628,6.3521014e-7,0.000016327662,0.000004697049],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929774,0.000030210158,0.00028797184,0.00012412149,0.00014139892,0.00011855404],"domain_scores_gemma":[0.99948806,0.00012336313,0.00007569979,0.00018508093,0.000061091545,0.00006672441],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000049465874,0.00011443451,0.00037622897,0.00002273322,0.00004585089,0.0000050812832,0.0001634274,0.000022376746,0.000032276424],"category_scores_gemma":[0.00004755077,0.000085249274,0.00018831884,0.0010251782,0.000243794,0.000046467154,0.00001824992,0.0001466029,0.0000028119998],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027231604,0.0010905853,0.0010111743,0.0041077323,0.00425205,0.0000011530111,0.055154853,0.030436374,0.84562445,0.0035070372,0.006760453,0.04778185],"study_design_scores_gemma":[0.0010161689,0.0013340488,0.0042279027,0.0004745085,0.0010487959,0.000032263895,0.021296656,0.7564538,0.19514957,0.015525459,0.0021544101,0.0012863904],"about_ca_topic_score_codex":0.00003896114,"about_ca_topic_score_gemma":0.000005297845,"teacher_disagreement_score":0.7260175,"about_ca_system_score_codex":0.000024132367,"about_ca_system_score_gemma":0.000007612025,"threshold_uncertainty_score":0.34763646},"labels":[],"label_agreement":null},{"id":"W3095214307","doi":"10.1167/jov.20.11.561","title":"Modeling biases of perceived slant in curved surfaces","year":2020,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Curvature; Monocular; Distortion (music); Surface (topology); Computer vision; Artificial intelligence; Texture (cosmology); Binocular disparity; Depth perception; Optics; Projection (relational algebra); Mathematics; Perception; Geometry; Stereopsis; Computer science; Physics; Image (mathematics); Algorithm; Psychology","score_opus":0.03220090726576388,"score_gpt":0.2972306924535274,"score_spread":0.26502978518776354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095214307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95611066,0.000532237,0.043114454,0.00013386956,0.000019458634,0.000022799282,9.886527e-7,0.000027812688,0.000037722988],"genre_scores_gemma":[0.98653907,0.00067427906,0.0127283195,0.000019248628,0.000027815553,1.7498127e-7,4.5619694e-7,0.000009837064,7.85209e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926615,0.000021912305,0.00042157603,0.000049972874,0.00016583581,0.00007458023],"domain_scores_gemma":[0.9997079,0.000051112496,0.00007721921,0.000049100607,0.000061399835,0.000053276228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011393812,0.00006625972,0.00026763737,0.000096306525,0.000006917803,0.0000054759003,0.00010525977,0.000030105128,0.000016719052],"category_scores_gemma":[0.00013631537,0.00005144941,0.00008548601,0.00021124027,0.000008555798,0.0001665597,0.000016690048,0.00015717739,0.0000012402874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020115342,0.000014734714,0.0003494931,0.000016847434,0.0000101664045,0.000009168569,0.00015814799,0.78407574,0.21284075,0.0000012131682,0.0000426219,0.002461001],"study_design_scores_gemma":[0.0001568282,0.00014148436,0.003553833,0.00017836555,0.000010889073,0.0000029096832,0.00008997213,0.9898565,0.00577114,0.0001319432,0.000047614256,0.000058563688],"about_ca_topic_score_codex":0.000008651815,"about_ca_topic_score_gemma":0.0000028389204,"teacher_disagreement_score":0.2070696,"about_ca_system_score_codex":0.00002457857,"about_ca_system_score_gemma":0.0000058800547,"threshold_uncertainty_score":0.20980461},"labels":[],"label_agreement":null},{"id":"W3099976232","doi":"","title":"SPECTRUM OF THE EXPONENTS OF BEST RATIONAL APPROXIMATION","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Mathematics; Spectrum (functional analysis); Geometry of numbers; Parametric statistics; Pure mathematics; Combinatorics; Mathematical analysis; Geometry; Statistics; Quantum mechanics","score_opus":0.007993317585868352,"score_gpt":0.21219060582323174,"score_spread":0.20419728823736338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099976232","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15455984,0.000012509124,0.8403019,0.00018928754,0.000021103928,0.000060791797,0.0000031679654,0.00006322747,0.004788187],"genre_scores_gemma":[0.99168444,0.000009966012,0.008043498,0.00000396346,0.0000083060495,0.0000042024885,4.897159e-7,0.0000039871493,0.0002411402],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997092,0.00000499094,0.000121214805,0.000034753943,0.00009084383,0.00003902542],"domain_scores_gemma":[0.99982536,0.000020793052,0.000027765322,0.000103786355,0.000014852521,0.0000074447717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002356098,0.000032027398,0.000061593666,0.000020855283,0.000005708272,6.5681303e-7,0.000066614244,0.000013719221,0.00010508688],"category_scores_gemma":[0.000014813011,0.000015610563,0.000034311288,0.00009190587,0.00002445668,0.000059641105,0.000013190664,0.00001372814,0.0000050085737],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003414189,0.000041028205,0.0038646283,0.000023180577,0.000030645766,4.0960412e-8,0.000024168497,0.001416428,0.96618545,0.017486054,0.00029940432,0.010625564],"study_design_scores_gemma":[0.000054359756,0.000008470422,0.002613796,0.000015644006,0.000004855858,1.911983e-7,0.000004563951,0.003322488,0.98498344,0.008787424,0.00017384444,0.00003090406],"about_ca_topic_score_codex":0.0000025972647,"about_ca_topic_score_gemma":0.0000027381457,"teacher_disagreement_score":0.8371246,"about_ca_system_score_codex":0.00001426636,"about_ca_system_score_gemma":0.0000018592012,"threshold_uncertainty_score":0.115062766},"labels":[],"label_agreement":null},{"id":"W3100119367","doi":"10.1115/detc2001/cie-21301","title":"Steepest-Directed Tool Paths of Sculptured Parts: The Most Efficient Local Scheme in 3-Axis CNC Machining and its Mathematical Proof","year":2001,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Machining; Tool path; Path (computing); Numerical control; Scheme (mathematics); Computer science; Algorithm; Engineering drawing; Mechanical engineering; Mathematics; Engineering; Mathematical analysis","score_opus":0.008239079567620862,"score_gpt":0.23306797719206873,"score_spread":0.22482889762444788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100119367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6412296,0.00059640844,0.35394838,0.00012446495,0.000015468802,0.00045150807,0.0000037734299,0.0005979085,0.0030324543],"genre_scores_gemma":[0.98694104,0.000031515552,0.012831606,0.000037336486,0.000010529348,0.00005609927,0.0000026676003,0.000024001538,0.0000652052],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889416,0.00003745113,0.0004063071,0.0001907113,0.00021843394,0.00025294005],"domain_scores_gemma":[0.9994998,0.00014336781,0.000040359675,0.00022027915,0.000043291737,0.000052908737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021156829,0.00017298998,0.00031700556,0.000084574116,0.00003298373,0.0000135449,0.00013699189,0.00007686782,0.000096797514],"category_scores_gemma":[0.00014238017,0.000112843176,0.000049167225,0.00054151536,0.000067425055,0.0000488622,0.000064878855,0.00021342233,0.000005504482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016574167,0.0012349833,0.0053714304,0.00092074426,0.0004316137,0.00013081834,0.0032104894,0.70496094,0.062156606,0.02301924,0.0005222851,0.19787511],"study_design_scores_gemma":[0.00019818537,0.000031035575,0.00055284257,0.00007338459,0.000016253134,0.000011199386,0.00013522837,0.98060787,0.017233243,0.00072898157,0.00024651492,0.00016526094],"about_ca_topic_score_codex":0.000008488734,"about_ca_topic_score_gemma":0.000015991804,"teacher_disagreement_score":0.3457114,"about_ca_system_score_codex":0.000045478675,"about_ca_system_score_gemma":0.000006814884,"threshold_uncertainty_score":0.46016112},"labels":[],"label_agreement":null},{"id":"W3108236215","doi":"10.1145/3414685.3417772","title":"VDAC","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Carving; Computer science; Volume (thermodynamics); Decomposition; Set (abstract data type); Curvature; Block (permutation group theory); Algorithm; Path (computing); Mathematics; Geometry; Engineering","score_opus":0.02058291992187087,"score_gpt":0.23741863288230283,"score_spread":0.21683571296043197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108236215","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024701036,0.00006208281,0.99373627,0.0016675009,0.000039744587,0.000057340676,0.000009917902,0.0013770101,0.00058001914],"genre_scores_gemma":[0.97926575,0.0003952102,0.019095935,0.0011541273,0.000023315659,0.000021313628,0.0000026852617,0.000028399374,0.000013280948],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99950707,0.000007949937,0.00012091358,0.00012729617,0.0001111929,0.00012557906],"domain_scores_gemma":[0.99957454,0.000045969955,0.000009065402,0.00025493136,0.000017238437,0.00009828148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000017706583,0.00010498603,0.00011780977,0.00007667384,0.00005394279,0.0000094332445,0.00019079023,0.000056663397,0.00009672159],"category_scores_gemma":[0.000013425978,0.000105188505,0.0001118615,0.0006700991,0.000030794054,0.0000853139,0.000001626321,0.00026989417,0.000057134843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009088765,0.00036521457,0.00036970436,0.00026120778,0.0009489067,0.000049998267,0.0012103601,0.39183262,0.037264097,0.006144511,0.008543522,0.552919],"study_design_scores_gemma":[0.0010958314,0.0008455337,0.0009775285,0.00007234911,0.0004581005,0.0000141523615,0.00024553627,0.25701,0.3109394,0.07204655,0.35409656,0.002198421],"about_ca_topic_score_codex":0.0000019141235,"about_ca_topic_score_gemma":0.0000036875538,"teacher_disagreement_score":0.9767956,"about_ca_system_score_codex":0.000012419155,"about_ca_system_score_gemma":0.0000024997464,"threshold_uncertainty_score":0.4289463},"labels":[],"label_agreement":null},{"id":"W3108958103","doi":"10.1016/j.camwa.2020.11.004","title":"Compressive isogeometric analysis","year":2020,"lang":"en","type":"article","venue":"Computers & Mathematics with Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Istituto Nazionale di Alta Matematica \"Francesco Severi\"; Concordia University; Pacific Institute for the Mathematical Sciences","keywords":"Isogeometric analysis; Discretization; Mathematics; Partial differential equation; Galerkin method; Compressed sensing; Applied mathematics; Basis function; Matrix (chemical analysis); Sparse matrix; Finite element method; Mathematical optimization; Mathematical analysis; Algorithm","score_opus":0.010190764210435539,"score_gpt":0.22097770186002463,"score_spread":0.21078693764958908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108958103","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0009075176,0.000118503674,0.9959356,0.00018498786,0.000004082297,0.00030859985,0.000010149966,0.000995456,0.0015350791],"genre_scores_gemma":[0.43612647,0.0000307753,0.56335723,0.00015422002,0.00003626069,0.0002299846,0.000029445133,0.000027385644,0.000008260498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992153,0.000005814376,0.000247424,0.00020599754,0.00016606203,0.0001594196],"domain_scores_gemma":[0.9992322,0.00012089564,0.000074208234,0.00035665606,0.00006294775,0.00015313033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000023633977,0.00015929075,0.00034189905,0.00023522394,0.000058644648,0.0000356062,0.0003166185,0.00003359136,0.000025739355],"category_scores_gemma":[0.0000067829014,0.00013657472,0.00010544549,0.004054309,0.000046091165,0.000066779874,0.00004852964,0.000118345786,0.00006936956],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005250398,0.0002697026,0.0006615102,0.00041695673,0.0033598298,0.0000073748047,0.0012692414,0.93005395,0.0014711112,0.017652033,0.004563059,0.040269963],"study_design_scores_gemma":[0.00010802038,0.000028687424,0.0001420576,0.000009092568,0.0005883312,0.0000020262494,0.00005067866,0.9876668,0.0010278261,0.0022186632,0.007900314,0.0002575414],"about_ca_topic_score_codex":8.11009e-7,"about_ca_topic_score_gemma":6.296203e-7,"teacher_disagreement_score":0.43521896,"about_ca_system_score_codex":0.000029388699,"about_ca_system_score_gemma":0.000004682465,"threshold_uncertainty_score":0.5569355},"labels":[],"label_agreement":null},{"id":"W3112070715","doi":"","title":"Cubic and bicubic spline interpolation in Python","year":2020,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Bicubic interpolation; Python (programming language); Computer science; Spline interpolation; Tangent; Algorithm; Mathematics; Programming language; Geometry; Computer vision; Bilinear interpolation","score_opus":0.011571910053523976,"score_gpt":0.2335000374654108,"score_spread":0.2219281274118868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112070715","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09806637,0.0039256983,0.8576584,0.024865875,0.00017115846,0.00057154096,0.000041536136,0.0007086311,0.013990811],"genre_scores_gemma":[0.73195964,0.003022981,0.2623281,0.000074094685,0.00003490053,0.000072561066,0.0003065224,0.00009120631,0.0021100366],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99488866,0.002497548,0.00091018097,0.00094986235,0.00032127238,0.00043245443],"domain_scores_gemma":[0.99638224,0.0011021484,0.00036921597,0.0012617284,0.0006151204,0.0002695709],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0022227198,0.000512113,0.0007084609,0.00034090114,0.00013166563,0.00021184002,0.00074348156,0.00039835647,0.00019342754],"category_scores_gemma":[0.0012600635,0.00060595124,0.00020418294,0.00096336403,0.00025345728,0.00026587557,0.001183785,0.0012144563,0.00007423934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006010357,0.0010286425,0.018613705,0.0015527189,0.0003670658,0.000052730917,0.021122223,0.0057781218,0.13051262,0.27312776,0.001048867,0.54673547],"study_design_scores_gemma":[0.0006996412,0.0000013640049,0.01867832,0.0045431196,0.00014042934,0.00001749079,0.00016905955,0.8033,0.09959316,0.045715157,0.026001036,0.0011412093],"about_ca_topic_score_codex":0.0018833901,"about_ca_topic_score_gemma":0.0025100757,"teacher_disagreement_score":0.7975219,"about_ca_system_score_codex":0.0003079732,"about_ca_system_score_gemma":0.000069666916,"threshold_uncertainty_score":0.9996392},"labels":[],"label_agreement":null},{"id":"W3113778377","doi":"10.1016/j.jsc.2022.08.012","title":"PTOPO: Computing the geometry and the topology of parametric curves","year":2022,"lang":"en","type":"article","venue":"Journal of Symbolic Computation","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"H2020 Marie Skłodowska-Curie Actions; Horizon 2020; HORIZON EUROPE Framework Programme; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; Fondation Mathématique Jacques Hadamard; Agence Nationale de la Recherche; Providence Health Care","keywords":"Mathematics; Topology (electrical circuits); Geometry and topology; Geometric topology; Geometry; Combinatorics","score_opus":0.00641392972369334,"score_gpt":0.24954651326506616,"score_spread":0.24313258354137282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3113778377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6650797,0.0068155304,0.3265933,0.0011034415,0.00014321743,0.00010136682,0.0000011235262,0.000029871215,0.00013240277],"genre_scores_gemma":[0.99710363,0.00042092285,0.002273205,0.00014385715,0.000046267123,0.0000016456066,6.9222017e-7,0.0000066188277,0.0000031456254],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991535,0.00013171603,0.00038079565,0.00004416405,0.0002124478,0.00007739618],"domain_scores_gemma":[0.99890274,0.00067736924,0.00026792102,0.0000641752,0.00006974511,0.000018073251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065578317,0.000059148315,0.00024058491,0.00018644083,0.00009902997,0.000007918359,0.0001552542,0.000012654951,0.000011847917],"category_scores_gemma":[0.00010758376,0.000035136913,0.00007909221,0.0007377929,0.00009844556,0.000047200898,0.000068827096,0.0002716912,1.8131676e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032209377,0.00003593282,0.001382498,0.00007769982,0.00018095417,0.0000038367484,0.0008326061,0.8933272,0.00027994026,0.0021098137,0.0010240222,0.10071332],"study_design_scores_gemma":[0.0012751949,0.00029885868,0.025185974,0.00008283404,0.00023519709,0.00051303743,0.0015218135,0.93105996,0.0007866666,0.03717118,0.0016722556,0.00019704767],"about_ca_topic_score_codex":0.00001024919,"about_ca_topic_score_gemma":3.0674985e-7,"teacher_disagreement_score":0.33202392,"about_ca_system_score_codex":0.000034401313,"about_ca_system_score_gemma":0.000008058737,"threshold_uncertainty_score":0.14328417},"labels":[],"label_agreement":null},{"id":"W3118857346","doi":"10.2514/6.2021-1840","title":"Unstructured Anisotropic Mesh Adaptation for Quads Based on a Local Error Model","year":2021,"lang":"en","type":"article","venue":"AIAA Scitech 2021 Forum","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Adaptation (eye); Computer science; Anisotropy; Algorithm; Physics; Optics","score_opus":0.012825567379100108,"score_gpt":0.2523792526593191,"score_spread":0.23955368528021898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118857346","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0017965368,0.000097585296,0.9960858,0.0007340246,0.00009910072,0.00021100604,0.000055511715,0.00043335548,0.0004870318],"genre_scores_gemma":[0.7863772,0.000014095593,0.2127532,0.00039896305,0.000033672157,0.000105199695,0.000089602625,0.00004800908,0.00018005497],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987349,0.00001883603,0.00026404453,0.00034698693,0.00024926368,0.0003859939],"domain_scores_gemma":[0.99928695,0.00006869388,0.00004138513,0.00038732195,0.00012328029,0.00009235332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005831455,0.00021971345,0.0002800084,0.00012832956,0.000091729,0.00003451949,0.000156392,0.00013917616,0.0000930752],"category_scores_gemma":[0.0000622897,0.00021950234,0.00018603627,0.00055889215,0.0000433435,0.00014444221,0.00003051965,0.00017546165,0.0000119571005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023127286,0.00002677962,0.000015695185,0.0000329551,0.000031488475,0.0000068694976,0.000025603435,0.91374034,0.010434574,0.0038043493,0.0014020866,0.070456155],"study_design_scores_gemma":[0.0003276629,0.00007683024,0.000015429054,0.000028479371,0.000031189247,0.0000015530385,0.00012960884,0.92454284,0.057502676,0.013280654,0.0038296229,0.00023345485],"about_ca_topic_score_codex":0.000005855496,"about_ca_topic_score_gemma":0.000077619145,"teacher_disagreement_score":0.78458065,"about_ca_system_score_codex":0.00018133357,"about_ca_system_score_gemma":0.000054885153,"threshold_uncertainty_score":0.8951046},"labels":[],"label_agreement":null},{"id":"W3120689849","doi":"10.1051/cocv/2021002","title":"Average-distance problem with curvature penalization for data parameterization: regularity of minimizers","year":2021,"lang":"en","type":"article","venue":"ESAIM Control Optimisation and Calculus of Variations","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; McGill University","funders":"Instituto Superior Técnico; Natural Sciences and Engineering Research Council of Canada; Directorate for Mathematical and Physical Sciences; Directorate for Computer and Information Science and Engineering; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Uniqueness; Curvature; Measure (data warehouse); Mathematics; Mean curvature; Applied mathematics; Mathematical analysis; Mathematical optimization; Geometry; Computer science; Data mining","score_opus":0.01178558897635413,"score_gpt":0.23885944301769532,"score_spread":0.2270738540413412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120689849","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00042654923,0.00026457733,0.9981028,0.00036257273,0.000019864676,0.00031180773,0.00020477957,0.00007581774,0.00023127136],"genre_scores_gemma":[0.7278928,0.00008678577,0.27115402,0.000042452437,0.000014912438,0.0000482076,0.000691669,0.000014607236,0.000054548313],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918866,0.00003745356,0.00033370242,0.00020041301,0.00014502,0.00009475227],"domain_scores_gemma":[0.9989775,0.00012672678,0.00015671723,0.00033581004,0.00036260468,0.00004063088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013483086,0.00010571105,0.00025637593,0.000051557625,0.00005572522,0.000021500075,0.00010209326,0.00006947607,0.00002355466],"category_scores_gemma":[0.0001515118,0.00010037442,0.000038252725,0.00031912012,0.000045842713,0.00027142407,0.000019070312,0.00005533873,1.2621416e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016831556,0.00018219848,0.00031795286,0.00041561437,0.00055007916,0.0000013317743,0.00038554336,0.8579712,0.019628722,0.1078777,0.00043509225,0.012066233],"study_design_scores_gemma":[0.0010113298,0.00004140779,0.0002925942,0.00003969274,0.00016124532,0.0000019864458,0.000026252601,0.9915954,0.0039578644,0.0009808205,0.0017677878,0.00012361907],"about_ca_topic_score_codex":0.000009691389,"about_ca_topic_score_gemma":0.000022862892,"teacher_disagreement_score":0.7274663,"about_ca_system_score_codex":0.0000230292,"about_ca_system_score_gemma":0.000040762752,"threshold_uncertainty_score":0.409315},"labels":[],"label_agreement":null},{"id":"W3130055355","doi":"10.1038/s41598-021-83150-y","title":"Dimensionality reduction using singular vectors","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dimensionality reduction; Computer science; Reduction (mathematics); Data mining; Computational biology; Pattern recognition (psychology); Artificial intelligence; Mathematics; Biology","score_opus":0.01499545530128368,"score_gpt":0.26036070026177865,"score_spread":0.24536524496049497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130055355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94523704,0.00042544966,0.048656948,0.00002401936,0.004317324,0.0000578835,4.207655e-7,0.00053960446,0.0007413072],"genre_scores_gemma":[0.9692135,0.0000032263576,0.030233935,0.0000038846647,0.000054047076,0.0000028306404,0.000026952606,0.000016118121,0.00044551987],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99882984,0.000021016422,0.00029074025,0.00038657346,0.00029863248,0.00017319246],"domain_scores_gemma":[0.9991936,0.000007280379,0.000058652673,0.0005280559,0.0001449329,0.00006749207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031040146,0.00009089593,0.0001389449,0.00007470089,0.00016999459,0.00008047494,0.000036600173,0.00004043339,0.00010255613],"category_scores_gemma":[0.00008719746,0.00009167106,0.00008594267,0.0007682939,0.00008850111,0.00016651476,0.000036408415,0.00008424763,0.000006039589],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[3.684164e-7,0.00001959682,0.00024997038,0.00001221781,0.000017597262,0.00027513123,0.00002740636,0.021729885,0.9743878,0.000046563648,0.0014414372,0.0017919956],"study_design_scores_gemma":[0.000015828447,0.000002186692,0.00014948995,0.000023595565,0.000026218468,0.0005068047,0.00002884967,0.013164046,0.9410486,0.022038668,0.02282691,0.00016876348],"about_ca_topic_score_codex":0.0000067259407,"about_ca_topic_score_gemma":0.000001265375,"teacher_disagreement_score":0.03333919,"about_ca_system_score_codex":0.00011298161,"about_ca_system_score_gemma":0.000035685196,"threshold_uncertainty_score":0.37382376},"labels":[],"label_agreement":null},{"id":"W3143690539","doi":"10.1109/visual.2001.964499","title":"Simplicial subdivisions and sampling artifacts","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Subdivision; Barycentric coordinate system; Interpolation (computer graphics); Computer science; Filter (signal processing); Sampling (signal processing); Computer graphics (images); Mathematics; Algorithm; Computer vision; Artificial intelligence; Geography; Geometry; Animation","score_opus":0.013021835240737873,"score_gpt":0.2618200221272062,"score_spread":0.2487981868864683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3143690539","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26495883,0.00011690285,0.72458833,0.00024812645,0.000013950238,0.000051305058,0.0000011430847,0.0011646663,0.008856714],"genre_scores_gemma":[0.92339647,0.000055331147,0.076296546,0.00011242369,0.000057200505,0.0000038003368,0.0000012553379,0.000010970616,0.000066027846],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99964327,0.0000024197072,0.000097584445,0.0000814616,0.000050410334,0.0001248703],"domain_scores_gemma":[0.9998065,0.000035069363,0.0000059300814,0.000084307205,0.000008357871,0.000059824673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000024843634,0.00006562259,0.000086125416,0.000039937713,0.000031799933,0.000013372339,0.00003789307,0.000026380216,0.0001027098],"category_scores_gemma":[0.000015167597,0.000057193913,0.000020943675,0.00009555327,0.000013565368,0.000103195576,0.00002117777,0.00006258086,0.000040386498],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022356164,0.000024379262,0.00067152735,0.00001030062,0.00003173642,0.0000010962045,0.00008560543,0.05700259,0.0453429,0.004397031,0.0015970161,0.89083356],"study_design_scores_gemma":[0.00024472384,0.000049291695,0.009232285,0.000020856569,0.000045845863,0.000010596349,0.000057290996,0.5023372,0.12503502,0.012237115,0.3499133,0.000816468],"about_ca_topic_score_codex":0.0000039341667,"about_ca_topic_score_gemma":0.000021962092,"teacher_disagreement_score":0.8900171,"about_ca_system_score_codex":0.000017530614,"about_ca_system_score_gemma":0.0000010515786,"threshold_uncertainty_score":0.23323001},"labels":[],"label_agreement":null},{"id":"W3152373904","doi":"","title":"On the finite volume element version of Ritz-Volterra projection and applications to related equations","year":2002,"lang":"en","type":"article","venue":"Journal of Computational Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Finite element method; Projection (relational algebra); Element (criminal law); Mathematics; Volume (thermodynamics); Applied mathematics; Mathematical analysis; Calculus (dental); Structural engineering; Engineering; Physics; Algorithm; Political science; Law; Thermodynamics","score_opus":0.017942659507526715,"score_gpt":0.25510098095622746,"score_spread":0.23715832144870075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3152373904","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015247631,0.000041795312,0.98338515,0.00055439223,0.000017514994,0.0001738558,0.0000044729204,0.000024187897,0.00055098126],"genre_scores_gemma":[0.91299486,0.00002431578,0.086835116,0.00004120359,0.000022107813,0.000013358151,0.0000021432977,0.000009670182,0.000057231726],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992249,0.0000149856105,0.00041717492,0.000042990574,0.00024530746,0.000054655535],"domain_scores_gemma":[0.99905574,0.0004897887,0.00018538389,0.00007161811,0.00016395983,0.000033516397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015134529,0.00006443668,0.00013016527,0.00014690743,0.000050583192,0.000011277194,0.000077664496,0.000022533655,0.00007830066],"category_scores_gemma":[0.00011792015,0.000047296617,0.00004952698,0.00028322806,0.000020524876,0.00006766274,0.0000127657695,0.000107627835,0.000019004141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027880212,0.00012653192,0.000010376057,0.000041382817,0.000069015376,3.9786713e-7,0.0005282058,0.9726247,0.00031484503,0.019681813,0.0019361126,0.004663826],"study_design_scores_gemma":[0.00009638474,0.000111756715,0.000072778595,0.00006404446,0.000033921977,0.000007881755,0.0000771894,0.9053504,0.0002271889,0.093104385,0.0008013262,0.000052755026],"about_ca_topic_score_codex":2.4225818e-7,"about_ca_topic_score_gemma":1.3225379e-7,"teacher_disagreement_score":0.8977472,"about_ca_system_score_codex":0.000047208272,"about_ca_system_score_gemma":0.0000043608597,"threshold_uncertainty_score":0.19287},"labels":[],"label_agreement":null},{"id":"W3154160203","doi":"10.1007/s10898-021-01007-0","title":"Global exact optimization for covering a rectangle with 6 circles","year":2021,"lang":"en","type":"article","venue":"Journal of Global Optimization","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Rectangle; Mathematics; RADIUS; Nonlinear programming; Global optimization; Focus (optics); Function (biology); Combinatorics; Mathematical optimization; Nonlinear system; Geometry; Computer science","score_opus":0.005279676976581772,"score_gpt":0.23646753768158368,"score_spread":0.2311878607050019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3154160203","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037088012,0.00048012362,0.9944712,0.00010579323,0.00011472209,0.00009394634,0.000023230801,0.00011763527,0.00088456104],"genre_scores_gemma":[0.27315608,0.00029613066,0.72635895,0.000049284463,0.00009099142,0.0000047348794,0.000020303078,0.000017928258,0.000005599931],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908924,0.000022240889,0.00037861758,0.000117869036,0.00022546241,0.00016656572],"domain_scores_gemma":[0.9990772,0.000027558564,0.00019931507,0.00011167138,0.0005008789,0.00008336873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008878642,0.00013573433,0.0002724075,0.00003234891,0.000047150195,0.000060886432,0.00010205969,0.00007127544,0.00003431956],"category_scores_gemma":[0.00012045418,0.0001249854,0.00011160538,0.0007484633,0.000017822022,0.00045901653,0.000015203577,0.00006073073,3.980429e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060847466,0.00003309649,0.0007895354,0.000023323166,0.000094248244,0.000016304537,0.000005944245,0.9947127,0.000078097575,0.00013744862,0.0003422862,0.003706181],"study_design_scores_gemma":[0.00059537066,0.00017362543,0.00025251668,0.00009526169,0.00012411049,0.00019969288,0.000041994066,0.9964871,0.0008445998,0.0004350576,0.0005675144,0.0001831976],"about_ca_topic_score_codex":0.0000019445818,"about_ca_topic_score_gemma":0.000007925725,"teacher_disagreement_score":0.26944727,"about_ca_system_score_codex":0.0005320463,"about_ca_system_score_gemma":0.000062298874,"threshold_uncertainty_score":0.5096756},"labels":[],"label_agreement":null},{"id":"W3163091399","doi":"10.4153/s0008439521000114","title":"Quasi-equivalence of bases in some Whitney spaces","year":2021,"lang":"en","type":"article","venue":"Canadian Mathematical Bulletin","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Cantor set; Logarithm; Equivalence (formal languages); Type (biology); Space (punctuation); Basis (linear algebra); Dimension (graph theory); Pure mathematics; Combinatorics; Discrete mathematics; Mathematical analysis; Geometry","score_opus":0.008769872565493273,"score_gpt":0.21910916180617968,"score_spread":0.2103392892406864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163091399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75732905,0.005411943,0.114469774,0.019530337,0.00020945123,0.0007986155,0.00016542777,0.0010538019,0.10103161],"genre_scores_gemma":[0.98230654,0.00009251226,0.016705634,0.00026347127,0.000023887811,0.000022519309,0.0000053624804,0.00002851087,0.0005515805],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990576,0.000028517385,0.00030828154,0.00015942127,0.00013419366,0.00031200703],"domain_scores_gemma":[0.99924845,0.00016685252,0.000023591356,0.00026514882,0.00004031242,0.0002556621],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010849643,0.00012751676,0.00032792735,0.00014263418,0.000016204604,0.000015044142,0.0001506329,0.00007064186,0.005331042],"category_scores_gemma":[0.00042538147,0.00012948399,0.000069468595,0.0003210635,0.000069239315,0.000038817907,0.000021647209,0.00014349104,0.000589949],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027594557,0.0016333302,0.004715912,0.007234955,0.00044978826,0.0036393013,0.0024912616,0.015520192,0.03763739,0.78855395,0.102007315,0.036089018],"study_design_scores_gemma":[0.00094724173,0.0002599403,0.0013672506,0.0024558166,0.00015349044,0.00012536049,0.0015361216,0.04386137,0.18047678,0.4827377,0.28363237,0.0024465595],"about_ca_topic_score_codex":0.00035768875,"about_ca_topic_score_gemma":0.0014349137,"teacher_disagreement_score":0.30581626,"about_ca_system_score_codex":0.00011822565,"about_ca_system_score_gemma":0.000060407332,"threshold_uncertainty_score":0.9955782},"labels":[],"label_agreement":null},{"id":"W3163342362","doi":"10.1007/s00170-021-07849-y","title":"A new approach to find gouge free tool positions for a toroidal cutter for Bézier surfaces in five-axis machining","year":2021,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Toroid; Bézier curve; Point (geometry); Cutter location; Surface (topology); Factor (programming language); Computer science; Bézier surface; Position (finance); Free form; Mechanical engineering; Engineering drawing; Engineering; Geometry; Tool path; Mathematics; Physics","score_opus":0.00866697243070922,"score_gpt":0.2635196883654427,"score_spread":0.25485271593473346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163342362","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35393155,0.00021688755,0.6403218,0.004750893,0.00023142381,0.0002355357,0.000038312246,0.000111741276,0.00016187722],"genre_scores_gemma":[0.42148113,0.00007129906,0.5775547,0.00025194895,0.00013745239,0.000076789074,0.000010232221,0.000034025637,0.0003824328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99883366,0.000012064023,0.00048613243,0.00020004586,0.00021111078,0.00025701453],"domain_scores_gemma":[0.99909246,0.00024618334,0.00014219078,0.00028450188,0.00018730812,0.000047337122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016614588,0.00017181794,0.0003103864,0.00038645428,0.00005309112,0.00004023531,0.00095352303,0.00010250358,0.000021348744],"category_scores_gemma":[0.00032832735,0.00014360137,0.00016525669,0.00017720381,0.000030844105,0.00022946678,0.00018058278,0.0003424634,0.0000020837635],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041008988,0.00014785353,0.00008063341,0.000047499278,0.000612774,0.000043070562,0.00046050965,0.625673,0.17323326,0.004896968,0.0056732115,0.18872112],"study_design_scores_gemma":[0.0016891746,0.00016139026,0.0006340696,0.00013832179,0.000057893463,0.000264386,0.00035134613,0.0062391334,0.83359504,0.13258891,0.023935752,0.000344602],"about_ca_topic_score_codex":0.0000073596866,"about_ca_topic_score_gemma":0.000029210843,"teacher_disagreement_score":0.66036177,"about_ca_system_score_codex":0.00025083165,"about_ca_system_score_gemma":0.00003750739,"threshold_uncertainty_score":0.5855894},"labels":[],"label_agreement":null},{"id":"W3169634317","doi":"10.3390/sym13061068","title":"Some New Results Concerning the Classical Bernstein Cubature Formula","year":2021,"lang":"en","type":"article","venue":"Symmetry","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Queen's University","keywords":"Bivariate analysis; Mathematics; Bernstein polynomial; Interval (graph theory); Numerical integration; Operator (biology); Function (biology); Applied mathematics; Multiple integral; Mathematical analysis; Combinatorics; Statistics","score_opus":0.01368288686039612,"score_gpt":0.2524574787281763,"score_spread":0.2387745918677802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169634317","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11921176,0.064862914,0.5819393,0.045071855,0.003297424,0.0011878334,0.00020995826,0.011745788,0.17247316],"genre_scores_gemma":[0.9767654,0.0003374982,0.01486422,0.00064433616,0.000988277,0.000009663491,0.00004340939,0.000056737812,0.006290479],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990576,0.000028858774,0.00023555716,0.00021189656,0.00020593847,0.0002601579],"domain_scores_gemma":[0.9992857,0.00015612136,0.00003500893,0.0003909034,0.000032515734,0.00009972566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008171336,0.00014864767,0.00020881025,0.000038039405,0.000066660585,0.0000394684,0.00019958623,0.00011765707,0.00002720929],"category_scores_gemma":[0.00019978057,0.000107366715,0.00012702381,0.00047494943,0.000037491514,0.00015038738,0.00008190872,0.00046699337,0.000052936397],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072798015,0.00009592406,0.0005015172,0.00012955179,0.0006370407,0.0003173127,0.00088934903,0.01244269,0.0640658,0.09560854,0.3261649,0.49907458],"study_design_scores_gemma":[0.0006330861,0.00004133029,0.0005025869,0.00009076874,0.000084571955,0.000030744988,0.00021318758,0.021699993,0.1545928,0.029098278,0.7925043,0.00050832285],"about_ca_topic_score_codex":0.00000811745,"about_ca_topic_score_gemma":0.000010769369,"teacher_disagreement_score":0.8575536,"about_ca_system_score_codex":0.000073215335,"about_ca_system_score_gemma":0.00002514185,"threshold_uncertainty_score":0.43782878},"labels":[],"label_agreement":null},{"id":"W3178908815","doi":"10.21203/rs.3.rs-651044/v1","title":"Path Planning For Robotic Polishing of Sheet Metal Parts","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Polishing; Surface (topology); Sheet metal; Path (computing); Deformation (meteorology); Motion planning; Head (geology); Finite element method; Computer science; Mechanical engineering; Geometry; Structural engineering; Materials science; Engineering; Robot; Mathematics; Geology; Artificial intelligence; Composite material","score_opus":0.07911370474883184,"score_gpt":0.40592072278183355,"score_spread":0.3268070180330017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3178908815","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.069891624,0.010658316,0.9144438,0.00014468118,0.00026625057,0.0015765106,0.00013062925,0.0009006304,0.001987571],"genre_scores_gemma":[0.9668225,0.00029981992,0.031880412,0.0000052003143,0.00017516346,0.00038294634,0.00028316237,0.0000895269,0.000061265084],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99754643,0.00014888172,0.00044731345,0.00045367941,0.0007570297,0.00064668217],"domain_scores_gemma":[0.99812967,0.0005234237,0.00007117328,0.00065156614,0.00047297447,0.00015118177],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000808688,0.0002540604,0.0007104538,0.00039673442,0.00008213466,0.00011484496,0.00047942396,0.00027515463,0.000047822574],"category_scores_gemma":[0.0007420771,0.00025532776,0.00036032847,0.00048694474,0.00008181514,0.00015010388,0.0006821266,0.0012495529,0.0000021407416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016355156,0.00007201746,0.00058638153,0.0058183395,0.0003765142,0.000054629025,0.00081459817,0.98183346,0.004239221,0.00031069334,0.0019508324,0.003926964],"study_design_scores_gemma":[0.00056883966,0.00041139437,0.002212437,0.009241032,0.00028559018,0.000010346829,0.0038743739,0.8713132,0.08422749,0.02243204,0.0037226477,0.0017005745],"about_ca_topic_score_codex":0.000078233425,"about_ca_topic_score_gemma":0.0000074411123,"teacher_disagreement_score":0.8969309,"about_ca_system_score_codex":0.0002265002,"about_ca_system_score_gemma":0.00009004772,"threshold_uncertainty_score":0.99998987},"labels":[],"label_agreement":null},{"id":"W3185648490","doi":"10.5206/mt.v1i1.14124","title":"Log-lightning computation of capacity and Green's function","year":2021,"lang":"en","type":"article","venue":"Maple Transactions","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Logarithm; Reciprocal; Mathematics; Function (biology); Ellipse; Sequence (biology); Exponential function; Laplace transform; Convergence (economics); Complex plane; Computation; Applied mathematics; Simple (philosophy); Lightning (connector); Algorithm; Mathematical analysis; Computer science; Geometry","score_opus":0.011702754425695348,"score_gpt":0.21043264481504192,"score_spread":0.19872989038934658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185648490","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.067743756,0.00010921985,0.9314334,0.000060184066,0.000042588756,0.000027999173,0.0000063183343,0.00021239334,0.00036415717],"genre_scores_gemma":[0.9815054,0.000042144704,0.018354665,0.000011974983,0.000010136925,0.00000610992,0.000006387143,0.000009242429,0.000053963773],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996457,0.0000126186005,0.000121792,0.00008689832,0.00006354037,0.000069470094],"domain_scores_gemma":[0.99982554,0.000022383767,0.000015100518,0.00006620772,0.00004308543,0.000027665614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000023265373,0.000059349783,0.000108073684,0.000050159168,0.000043420583,0.000005656804,0.000016937807,0.000034546803,0.00005172754],"category_scores_gemma":[0.0000024648564,0.00006513632,0.00004041537,0.00023090385,0.000025689182,0.00009874684,0.0000015169727,0.00008547584,0.0000020728035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015867401,0.00012160527,0.000774729,0.00038130692,0.00031044424,0.000006629895,0.0006748397,0.33101434,0.3574366,0.00088851684,0.000087308465,0.30828783],"study_design_scores_gemma":[0.00068935665,0.00013610958,0.013601956,0.00010266072,0.0004556131,0.00004612687,0.00047940845,0.48942167,0.461974,0.024419094,0.008040042,0.00063397404],"about_ca_topic_score_codex":0.000049793754,"about_ca_topic_score_gemma":0.00008848117,"teacher_disagreement_score":0.9137616,"about_ca_system_score_codex":0.000019274645,"about_ca_system_score_gemma":0.000003092479,"threshold_uncertainty_score":0.2656182},"labels":[],"label_agreement":null},{"id":"W3190521771","doi":"","title":"Berezin Transform and Compactness of Operators","year":2000,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Compact space; Mathematics; Computer science; Pure mathematics","score_opus":0.003583731974363313,"score_gpt":0.21152308247887466,"score_spread":0.20793935050451134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190521771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87268406,0.0002558244,0.06241801,0.000057210233,0.0000062740746,0.00007541108,0.0000034147859,0.0004244614,0.06407533],"genre_scores_gemma":[0.99271315,0.00022389975,0.006822096,0.000016789465,0.0000037982422,0.0000024489361,9.765948e-7,0.0000074825202,0.00020936133],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99975044,0.0000023466898,0.000095499745,0.000046963072,0.00003974232,0.00006502412],"domain_scores_gemma":[0.9998922,0.000008682151,0.000002791686,0.00005975255,0.000006072661,0.00003055295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000016226712,0.00005209112,0.00011636373,0.000022547445,0.000008169903,0.0000030465005,0.000035776517,0.00001936389,0.0006839222],"category_scores_gemma":[7.1555553e-7,0.000041484604,0.000019751758,0.00010468428,0.00002383712,0.0000694775,0.0000017074794,0.000033393448,0.000004503796],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009123253,0.00003588785,0.00063854817,0.000064689404,0.00006655204,0.0000016325355,0.0002584028,0.0117554115,0.017196208,0.0009889826,0.00051256974,0.968472],"study_design_scores_gemma":[0.0004523738,0.0001040988,0.0026226158,0.00004558534,0.000050936655,0.0000075130197,0.00010167255,0.11973538,0.829899,0.0034475124,0.043030217,0.0005030504],"about_ca_topic_score_codex":0.000018127017,"about_ca_topic_score_gemma":0.000008063038,"teacher_disagreement_score":0.96796894,"about_ca_system_score_codex":0.0000061774663,"about_ca_system_score_gemma":8.2746743e-7,"threshold_uncertainty_score":0.7488469},"labels":[],"label_agreement":null},{"id":"W3195524536","doi":"10.28924/2291-8639-19-2021-773","title":"New Numerical Solution for Two Parametric Surfaces Intersection Dragging Problem","year":2021,"lang":"en","type":"article","venue":"International Journal of Analysis and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Intersection (aeronautics); Parametric statistics; Parametric surface; Parametric equation; Mathematics; Computation; Continuation; Tracing; Mathematical optimization; Point (geometry); Process (computing); Geometric design; Applied mathematics; Algorithm; Computer science; Geometry; Engineering","score_opus":0.008054722524794118,"score_gpt":0.290531314945446,"score_spread":0.2824765924206519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195524536","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006035966,0.00048209386,0.9926392,0.00048554307,0.00005143915,0.00006424549,0.0000077028835,0.000044493878,0.00018933944],"genre_scores_gemma":[0.83302593,0.00024353988,0.16636473,0.000032714048,0.00021268334,0.00001936369,0.000024732657,0.0000091233,0.00006719779],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913293,0.000014657221,0.00042089942,0.0001272404,0.00021028874,0.00009400213],"domain_scores_gemma":[0.999075,0.00011136595,0.00018141622,0.00008495611,0.0004648124,0.00008243908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012656563,0.000089082976,0.00023593905,0.0004485491,0.000048087313,0.000075488584,0.00014676963,0.00003134076,0.000036177382],"category_scores_gemma":[0.000034420707,0.000083749575,0.00026083828,0.0010702878,0.000015325531,0.00019349635,0.00002518911,0.0001102816,0.0000015005106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034776844,0.00016828346,0.005362142,0.000021711445,0.006031656,0.0000072316097,0.00012144703,0.3031794,0.034283504,0.006293961,0.001596258,0.64289963],"study_design_scores_gemma":[0.0011026219,0.00010373986,0.005063615,0.000058029724,0.0029638736,0.00014444884,0.00022983308,0.85041595,0.041777033,0.034179535,0.063444324,0.00051699],"about_ca_topic_score_codex":0.000028304266,"about_ca_topic_score_gemma":0.000023614419,"teacher_disagreement_score":0.82698995,"about_ca_system_score_codex":0.00010112556,"about_ca_system_score_gemma":0.000026022817,"threshold_uncertainty_score":0.34152085},"labels":[],"label_agreement":null},{"id":"W3196002737","doi":"10.1016/j.cma.2021.114104","title":"Isogeometric high order mesh generation","year":2021,"lang":"en","type":"article","venue":"Computer Methods in Applied Mechanics and Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Isogeometric analysis; Polygon mesh; Quadrilateral; Hexahedron; Volume mesh; Mesh generation; Spline (mechanical); Finite element method; Quadratic equation; A priori and a posteriori; Smoothness; Mathematics; Applied mathematics; Basis function; Algorithm; Computer science; Mathematical optimization; Topology (electrical circuits); Geometry; Mathematical analysis; Structural engineering; Engineering; Combinatorics","score_opus":0.015913980128415706,"score_gpt":0.2719856464697674,"score_spread":0.2560716663413517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196002737","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015874491,0.0006476394,0.99690485,0.000013699351,0.0003042222,0.00007563639,0.0000010238286,0.00037089764,0.00009457611],"genre_scores_gemma":[0.06213712,0.00047916424,0.93709815,0.00005370534,0.0001376368,0.00003684303,0.00001144495,0.000041246,0.000004672958],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991362,0.000019141937,0.00025529467,0.0002670544,0.000090826885,0.00023148257],"domain_scores_gemma":[0.9995848,0.00009017854,0.000018161983,0.00020791855,0.000030874537,0.00006804308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026324927,0.00018287291,0.00029973767,0.00027294172,0.000022916382,0.000039914667,0.00008734847,0.000100536075,0.000012717715],"category_scores_gemma":[0.000025115422,0.00020322266,0.00003250253,0.0012699742,0.000002831976,0.000049012462,0.00009910565,0.0002209717,0.0000016271538],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[5.1849474e-7,0.0000123859845,0.0000010594266,0.000052781845,0.000033276443,0.000008708208,0.000031200045,0.37260002,0.22282362,0.05872677,0.00004201096,0.34566766],"study_design_scores_gemma":[0.00012164,0.0000073226183,0.000013096599,0.000010413086,0.000011142687,0.00000553284,0.000003923773,0.91676897,0.07550619,0.004654605,0.0026807443,0.000216408],"about_ca_topic_score_codex":0.0000011888409,"about_ca_topic_score_gemma":7.6657204e-7,"teacher_disagreement_score":0.54416895,"about_ca_system_score_codex":0.00005878894,"about_ca_system_score_gemma":0.0000054852285,"threshold_uncertainty_score":0.82871795},"labels":[],"label_agreement":null},{"id":"W3198882890","doi":"","title":"A simple fast algorithm for minimization of the elastica energy combining binary and level set representations","year":2017,"lang":"en","type":"article","venue":"International Journal of Numerical Analysis and Modeling","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Simple (philosophy); Binary number; Minification; Algorithm; Set (abstract data type); Energy minimization; Energy (signal processing); Mathematics; Mathematical optimization; Computer science; Arithmetic; Statistics; Physics","score_opus":0.03478407965268941,"score_gpt":0.3236240142520103,"score_spread":0.2888399345993209,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198882890","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02626709,0.00009559474,0.9732317,0.00025237718,0.00005947742,0.000024302197,0.000033758773,0.000007711854,0.00002800548],"genre_scores_gemma":[0.9443606,0.0002609863,0.05524423,0.00003108766,0.00006587858,0.0000037209634,0.000010816854,0.000009240913,0.0000134378515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913156,0.000018153532,0.00042930932,0.000105012354,0.00023531368,0.00008065628],"domain_scores_gemma":[0.99907154,0.000088580084,0.0003050105,0.00012946705,0.00035252498,0.000052883363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010365393,0.00008759982,0.0002685162,0.00018566327,0.00012804865,0.00006349755,0.00026113322,0.000033355715,0.0000052612336],"category_scores_gemma":[0.00013772605,0.0000645358,0.00020167114,0.00012602685,0.000055806082,0.00017484801,0.000091772556,0.00007644202,2.9031897e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016962822,0.00003634542,0.0032914297,0.0000055082687,0.0014868667,0.0000017875141,0.00010573173,0.911073,0.000881582,0.00031668454,0.00007046511,0.08271363],"study_design_scores_gemma":[0.00021484916,0.00002670433,0.002361635,0.000020226651,0.0003961751,0.000007239074,0.00007593252,0.99404794,0.00039116506,0.002233685,0.00015636871,0.0000680767],"about_ca_topic_score_codex":0.000067061366,"about_ca_topic_score_gemma":0.0000075168846,"teacher_disagreement_score":0.9180935,"about_ca_system_score_codex":0.000021253718,"about_ca_system_score_gemma":0.000010117832,"threshold_uncertainty_score":0.26316935},"labels":[],"label_agreement":null},{"id":"W3202195948","doi":"10.1145/3386569.3392418","title":"Neural subdivision","year":2020,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Autodesk; Adobe Systems","keywords":"Subdivision; Polygon mesh; Bijection; Computer science; Vertex (graph theory); Subdivision surface; Algorithm; Invariant (physics); Topology (electrical circuits); Inference; Robustness (evolution); Artificial neural network; Mathematics; Artificial intelligence; Theoretical computer science; Discrete mathematics; Computer graphics (images); Graph; Combinatorics","score_opus":0.021463835023061914,"score_gpt":0.24326133213374587,"score_spread":0.22179749711068397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202195948","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015122704,0.00006757556,0.98169184,0.0014189675,0.000057461213,0.00006920864,0.00000960453,0.0013739059,0.0001887502],"genre_scores_gemma":[0.99191165,0.00025316468,0.006873455,0.0008883239,0.000021822203,0.000013848821,0.0000036104132,0.000027546514,0.0000065960726],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994317,0.000011460286,0.00013623228,0.00014580232,0.00013613941,0.00013866386],"domain_scores_gemma":[0.9995511,0.000054549226,0.00001105327,0.0002580637,0.000019299147,0.00010590863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002059313,0.00011791648,0.00012619479,0.000086411965,0.00006671176,0.000012654781,0.00020326498,0.000058624955,0.00006873936],"category_scores_gemma":[0.000015191461,0.00011441221,0.00012299129,0.000679128,0.000030542018,0.00011454896,0.0000024511871,0.00030511577,0.000033995933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009488495,0.00026479887,0.0005253127,0.00016986701,0.00038065054,0.000043887547,0.000734611,0.39095658,0.0271223,0.0023035477,0.0033487142,0.57405484],"study_design_scores_gemma":[0.00053870125,0.00052071083,0.0012328295,0.00003003356,0.0001724116,0.000007867734,0.00008170551,0.8534181,0.09303678,0.013622154,0.03638956,0.00094916206],"about_ca_topic_score_codex":0.0000024166695,"about_ca_topic_score_gemma":0.000003480013,"teacher_disagreement_score":0.97678894,"about_ca_system_score_codex":0.000012200242,"about_ca_system_score_gemma":0.0000018596008,"threshold_uncertainty_score":0.46655944},"labels":[],"label_agreement":null},{"id":"W3207367963","doi":"","title":"Independence of CM points in elliptic curves","year":2020,"lang":"en","type":"article","venue":"Oxford University Research Archive (ORA) (University of Oxford)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Engineering and Physical Sciences Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Elliptic curve; Independence (probability theory); Mathematical analysis; Pure mathematics; Calculus (dental); Geometry; Statistics","score_opus":0.02546790192430369,"score_gpt":0.25356131757407296,"score_spread":0.22809341564976926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207367963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6358635,0.0005566277,0.30266804,0.0033093395,0.000040365034,0.0011472248,0.0003746592,0.00053557055,0.05550468],"genre_scores_gemma":[0.9715976,0.008199234,0.01980056,0.000030607607,0.0000115721905,1.6943554e-7,0.000034764565,0.000023490287,0.00030197616],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979231,0.00023442453,0.00019551127,0.00039076884,0.00073255453,0.00052365125],"domain_scores_gemma":[0.9987145,0.00028612596,0.00009328843,0.00037123097,0.00022647042,0.00030839824],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038054778,0.00019012173,0.0005083921,0.0007442368,0.00013461923,0.0000060331495,0.0013006529,0.000108647,0.00022546538],"category_scores_gemma":[0.00013931353,0.00025563163,0.00019044559,0.0020107385,0.0006567442,0.0005743532,0.0007115389,0.00085392944,0.000009931374],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.009530351,0.0032064954,0.37143496,0.018997353,0.0032792643,0.0066463603,0.043567445,0.06866495,0.20972222,0.0761485,0.05179412,0.137008],"study_design_scores_gemma":[0.009757573,0.004430104,0.11770014,0.003987267,0.00046344352,0.000028380677,0.053525247,0.37240413,0.021290204,0.03348,0.3791584,0.003775112],"about_ca_topic_score_codex":0.00030013282,"about_ca_topic_score_gemma":0.0003826519,"teacher_disagreement_score":0.33573413,"about_ca_system_score_codex":0.00017416805,"about_ca_system_score_gemma":0.00009670573,"threshold_uncertainty_score":0.99998957},"labels":[],"label_agreement":null},{"id":"W3211638452","doi":"","title":"Differential algebra on lattice green and calabi-yau operators","year":2014,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"JDSU (Canada)","funders":"","keywords":"Calabi–Yau manifold; Lattice (music); Mathematics; Pure mathematics; Algebra over a field; Physics","score_opus":0.00804526150276045,"score_gpt":0.21874053997797122,"score_spread":0.21069527847521077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211638452","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4621248,0.0005776882,0.5125137,0.003005229,0.00020088455,0.00046649267,0.000059343944,0.0015252394,0.019526647],"genre_scores_gemma":[0.9699511,0.0005882153,0.027183905,0.00009971947,0.000043265478,0.00007754064,0.00020572635,0.00009158975,0.001758936],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968913,0.0013542549,0.00044872885,0.00064784265,0.00033057982,0.0003272468],"domain_scores_gemma":[0.9968844,0.0007058928,0.00016025393,0.0015330962,0.0005006034,0.00021576937],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00089580636,0.00042199748,0.00051437534,0.00019324337,0.00017427838,0.00022131161,0.0007579199,0.00031221856,0.00012213769],"category_scores_gemma":[0.00039262976,0.00042447273,0.00016256272,0.0002391967,0.00017836149,0.00009099696,0.0008213286,0.0008283958,0.000036236073],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060198738,0.0014649406,0.0055505456,0.0023500219,0.0013838628,0.000031274154,0.010627336,0.0069795554,0.030757166,0.17983332,0.0057918057,0.75517],"study_design_scores_gemma":[0.0012187404,0.000003249256,0.008673752,0.004165846,0.0004362685,0.000014830418,0.000070457085,0.535713,0.36677653,0.030094726,0.049871508,0.0029610784],"about_ca_topic_score_codex":0.000458122,"about_ca_topic_score_gemma":0.00033408945,"teacher_disagreement_score":0.7522089,"about_ca_system_score_codex":0.00011329897,"about_ca_system_score_gemma":0.000028451264,"threshold_uncertainty_score":0.9998207},"labels":[],"label_agreement":null},{"id":"W326660698","doi":"10.1016/j.ijmachtools.2015.05.005","title":"An accurate, efficient envelope approach to modeling the geometric deviation of the machined surface for a specific five-axis CNC machine tool","year":2015,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Envelope (radar); Machining; Machine tool; Surface (topology); Kinematics; Cutter location; Numerical control; Interpolation (computer graphics); Computation; Motion (physics); Engineering; Mechanical engineering; Computer science; Geometry; Algorithm; Mathematics; Physics; Artificial intelligence; Aerospace engineering; Classical mechanics","score_opus":0.024530069240351088,"score_gpt":0.2725598166726612,"score_spread":0.24802974743231013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W326660698","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3347348,0.0006298405,0.66346645,0.00050954707,0.00019461353,0.00024032388,0.00009925995,0.000023679559,0.000101489015],"genre_scores_gemma":[0.9704406,0.00010764428,0.029076388,0.00014845049,0.00013708124,0.0000072572398,0.000028478853,0.000022787564,0.00003127323],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861574,0.000050541985,0.0005229993,0.00014798294,0.0005194691,0.00014327101],"domain_scores_gemma":[0.9989641,0.00012477078,0.00022823532,0.00019602769,0.00039272098,0.00009418104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005597956,0.00018688294,0.000278122,0.00017765215,0.000058881804,0.00009559226,0.00066337205,0.000057613102,0.00000854616],"category_scores_gemma":[0.00019018531,0.00010117148,0.00014549236,0.00027193528,0.000023679937,0.0002251013,0.00008580388,0.00028719776,6.2757726e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012144384,0.0000652702,0.00015150459,0.000011648963,0.000109482986,9.015158e-7,0.0002741416,0.9778833,0.0011641717,0.00016798482,0.00036438744,0.01968576],"study_design_scores_gemma":[0.0006553554,0.00012105997,0.0026686923,0.000029753519,0.000049067774,0.000051883995,0.000092986644,0.98476875,0.005786443,0.0011535899,0.0044395877,0.00018285596],"about_ca_topic_score_codex":0.00002935995,"about_ca_topic_score_gemma":0.0000061898054,"teacher_disagreement_score":0.6357058,"about_ca_system_score_codex":0.00011444159,"about_ca_system_score_gemma":0.000022393602,"threshold_uncertainty_score":0.41256532},"labels":[],"label_agreement":null},{"id":"W34569874","doi":"10.1177/07067437211043446","title":"Determination of polynomial C1 shape functions on triangular finite elements","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Health Canada","keywords":"Polynomial; Mathematics; Finite element method; Geometry; Calculus (dental); Computer science; Algebra over a field; Pure mathematics; Mathematical analysis; Structural engineering; Engineering","score_opus":0.022813290029750105,"score_gpt":0.242973223122184,"score_spread":0.2201599330924339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W34569874","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044428937,0.000024116916,0.9231413,0.000008648954,0.000085100284,0.00013389262,0.000008267575,0.00050121016,0.031668525],"genre_scores_gemma":[0.9425988,0.0000108781915,0.056823146,0.000028080776,0.000024116787,0.000018371313,0.000007739028,0.000014113455,0.0004747116],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995321,0.00000813602,0.00020316873,0.00008306992,0.000081494814,0.00009201882],"domain_scores_gemma":[0.9997593,0.000026366897,0.000031256124,0.0001327238,0.000022060276,0.00002827839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000043661894,0.00007329007,0.000109435256,0.000114174465,0.00001617353,0.000002479531,0.000066243825,0.00003519293,0.0009099173],"category_scores_gemma":[0.000027085609,0.00006611335,0.000059028695,0.00015718886,0.00001310515,0.00007990762,0.000011116872,0.000051134713,0.00004537696],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012965477,0.0003862026,0.0031314343,0.00005634839,0.00018831961,0.000007741733,0.00045196404,0.0015996507,0.037061196,0.0007547502,0.003441551,0.9527912],"study_design_scores_gemma":[0.001017835,0.0007199056,0.0074329176,0.000039494054,0.00015869328,0.0000014592457,0.00014030782,0.46356097,0.51005954,0.0019449361,0.014322014,0.0006019275],"about_ca_topic_score_codex":0.000009379226,"about_ca_topic_score_gemma":0.0000049463397,"teacher_disagreement_score":0.95218927,"about_ca_system_score_codex":0.000026664446,"about_ca_system_score_gemma":0.0000019523875,"threshold_uncertainty_score":0.99629563},"labels":[],"label_agreement":null},{"id":"W35005361","doi":"10.1080/24740527.2017.1422116","title":"Characterizing the intersection pattern of two conics: a {B}ezoutian-based approach","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé","keywords":"Conic section; Intersection (aeronautics); Characterization (materials science); Mathematics; Plane (geometry); Computer science; Geometry; Engineering; Physics","score_opus":0.009472596708360667,"score_gpt":0.24018352999971374,"score_spread":0.23071093329135306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W35005361","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04154355,0.000032680695,0.95144814,0.00010631338,0.000023341183,0.00009244137,0.0000012680796,0.00041737605,0.006334893],"genre_scores_gemma":[0.99160624,0.000005627626,0.007940922,0.00037732042,0.000025986299,0.000010295499,0.000006228109,0.0000101386495,0.000017273826],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994992,0.000015218651,0.000182035,0.00010007456,0.00008518355,0.0001183054],"domain_scores_gemma":[0.9996914,0.000028072092,0.000036424804,0.00020081461,0.000021211226,0.000022055321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000704876,0.00009379461,0.00014381109,0.00004036001,0.000020579491,0.000010740095,0.00012297895,0.000026848913,0.00003432525],"category_scores_gemma":[0.000007013708,0.00006342819,0.00007890733,0.00017510513,0.000023332475,0.00006777563,0.000007695896,0.00011551417,0.0000045018774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014041178,0.00013885325,0.00057185645,0.00005324664,0.00009862643,0.0000017207742,0.00067464577,0.03448489,0.37363058,0.0010433081,0.00019206353,0.5890962],"study_design_scores_gemma":[0.00020956097,0.000071774295,0.0009631066,0.000023881377,0.000029134873,0.000002571161,0.00013298172,0.76367885,0.23324405,0.0007585621,0.00070380647,0.0001817191],"about_ca_topic_score_codex":0.000023142644,"about_ca_topic_score_gemma":0.0000037829875,"teacher_disagreement_score":0.95006263,"about_ca_system_score_codex":0.000035249046,"about_ca_system_score_gemma":0.0000028910008,"threshold_uncertainty_score":0.25865266},"labels":[],"label_agreement":null},{"id":"W355066602","doi":"10.1007/978-3-319-08638-5_4","title":"Presheaves and Sheaves of Sets of Vector Fields","year":2014,"lang":"en","type":"book-chapter","venue":"Springer briefs in electrical and computer engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Sheaf; Class (philosophy); Mathematics; Natural (archaeology); Pure mathematics; Algebra over a field; Computer science; Artificial intelligence; Geography","score_opus":0.004050799532625958,"score_gpt":0.184331245091803,"score_spread":0.18028044555917702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W355066602","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018811423,0.010101638,0.9662332,0.000035774417,0.00018454021,0.00036307302,0.000007711816,0.0011363091,0.0031263116],"genre_scores_gemma":[0.97041285,0.001816055,0.026999746,0.000023919352,0.00015938665,0.000011092182,0.000003259787,0.00017646424,0.0003972054],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988991,0.0000053688236,0.00045847206,0.00026623544,0.00014562596,0.00022516842],"domain_scores_gemma":[0.9994931,0.00014241405,0.000064662374,0.00019548456,0.000026975938,0.00007735141],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006708938,0.0003022266,0.00070395204,0.00028854483,0.0000061591263,0.000010070275,0.00013180234,0.00024340053,0.0000032835903],"category_scores_gemma":[0.00001176028,0.00030792804,0.00008704036,0.000089544614,0.00004897764,0.000040685656,0.000100016245,0.00041679436,2.2566873e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005974831,0.00007652333,0.0008789751,0.004847006,0.00089996355,0.00005294099,0.00035978085,0.13861093,0.0056386073,0.15500543,0.000509299,0.6930608],"study_design_scores_gemma":[0.00033119236,0.0003183746,0.0033560873,0.0008833695,0.0000871374,0.00001995026,3.6944377e-7,0.9663991,0.0085015735,0.0052673044,0.0139691895,0.0008663616],"about_ca_topic_score_codex":0.000007792526,"about_ca_topic_score_gemma":0.0000017442306,"teacher_disagreement_score":0.95160145,"about_ca_system_score_codex":0.000028050119,"about_ca_system_score_gemma":0.0000052102023,"threshold_uncertainty_score":0.9999373},"labels":[],"label_agreement":null},{"id":"W389489038","doi":"10.1016/j.cag.2015.05.014","title":"A selective eraser of curvature extrema for B-spline curves","year":2015,"lang":"en","type":"article","venue":"Computers & Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Curvature; Maxima and minima; Spline (mechanical); Mathematics; Geometry; Mathematical analysis; Physics","score_opus":0.02369721649993002,"score_gpt":0.2631509750294543,"score_spread":0.23945375852952427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W389489038","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006619994,0.003257759,0.98896384,0.00016198019,0.0001415287,0.00024960365,0.000017595577,0.00046219633,0.00012551887],"genre_scores_gemma":[0.8532973,0.000556382,0.14538357,0.00044490636,0.00012789395,0.00005886934,0.000058172882,0.000055117976,0.00001777979],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928874,0.000015618036,0.00021818459,0.00016065265,0.00014237159,0.00017444647],"domain_scores_gemma":[0.9992998,0.0001057418,0.00005492776,0.00020886639,0.00023855851,0.0000920723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011246827,0.00015012795,0.0002971313,0.00013199287,0.000019607976,0.0000064493643,0.00018186886,0.000077294404,0.0000011055031],"category_scores_gemma":[0.000048699414,0.00014109591,0.00013793686,0.0006450107,0.00005507364,0.00010015172,0.000031842705,0.00015580672,7.6516505e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002437016,0.0006524673,0.007916306,0.0032295845,0.0020712642,0.00001971278,0.0015745192,0.1400105,0.011299707,0.02333143,0.7660337,0.04361711],"study_design_scores_gemma":[0.0013014904,0.000534972,0.0016186382,0.0006819217,0.000257616,0.00000919597,0.00003910958,0.8567004,0.027988119,0.056222413,0.053656086,0.000990045],"about_ca_topic_score_codex":0.0000039523316,"about_ca_topic_score_gemma":0.000005868756,"teacher_disagreement_score":0.8466773,"about_ca_system_score_codex":0.000028222135,"about_ca_system_score_gemma":0.000012371572,"threshold_uncertainty_score":0.5753724},"labels":[],"label_agreement":null},{"id":"W4206225701","doi":"10.1561/0600000011","title":"Mesh Parameterization Methods and Their Applications","year":2007,"lang":"en","type":"article","venue":"Foundations and Trends® in Computer Graphics and Vision","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":428,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","score_opus":0.014572018421711708,"score_gpt":0.35455468391039113,"score_spread":0.33998266548867945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206225701","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027195282,0.0003637459,0.97210956,0.000046497775,0.00002352738,0.00006386022,0.0000033177614,0.000099108,0.00009510427],"genre_scores_gemma":[0.7813705,0.00087303505,0.21762748,0.000031532458,0.000024353116,0.000014818002,0.00004502894,0.000009378153,0.000003845305],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994836,0.00001907241,0.0001839965,0.00017489887,0.000037023074,0.00010142692],"domain_scores_gemma":[0.9996652,0.00012843103,0.000025364941,0.00010792979,0.000021583583,0.00005150575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021000455,0.000101069156,0.00012711469,0.00038908867,0.00010391446,0.00006362271,0.00003426308,0.000052422478,0.0000031362547],"category_scores_gemma":[0.000002215565,0.00008610031,0.000021412938,0.0005991977,0.0000612285,0.0001325513,0.00003889339,0.00008997089,1.6159716e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013610304,0.00001758994,0.0005607915,0.0000106439,0.0000131429215,2.1985517e-7,0.00007371933,0.00009233278,0.0003185682,0.016245967,0.000009405401,0.98265624],"study_design_scores_gemma":[0.00022814485,0.00008687099,0.04039297,0.000028325772,0.000020447755,0.000008402873,0.000017732007,0.89209694,0.00036522644,0.051497635,0.015020398,0.00023691224],"about_ca_topic_score_codex":0.000008400762,"about_ca_topic_score_gemma":0.00002869414,"teacher_disagreement_score":0.9824194,"about_ca_system_score_codex":0.0000074276895,"about_ca_system_score_gemma":8.8611654e-7,"threshold_uncertainty_score":0.35110688},"labels":[],"label_agreement":null},{"id":"W4206903004","doi":"10.1007/s00170-021-08227-4","title":"A G3 continuous five-axis tool path corner smoothing method with improved machining efficiency and accurately controlled deviation of tool axis orientation","year":2022,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Science Foundation of Shandong Province; China Scholarship Council; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Smoothing; Tool path; Machining; Orientation (vector space); Path (computing); Industrial and production engineering; Geometry; Computer science; Engineering drawing; Engineering; Mathematics; Mechanical engineering; Computer vision","score_opus":0.005773942662928554,"score_gpt":0.2577811976403597,"score_spread":0.25200725497743115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206903004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63910806,0.00027924636,0.3598518,0.00028565674,0.00013567576,0.0002001467,0.000007631306,0.00011089389,0.000020842335],"genre_scores_gemma":[0.9334093,0.00011538678,0.06627658,0.000060065875,0.000028052815,0.000053524735,0.0000042056554,0.000025615276,0.00002731648],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99842656,0.000068613364,0.0007098034,0.000183556,0.00042334656,0.0001881502],"domain_scores_gemma":[0.99837714,0.00036842524,0.0008074423,0.00018853751,0.00023493587,0.000023492308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057156547,0.00019055701,0.00048027714,0.00046376843,0.00012334634,0.000029073773,0.0005817148,0.000060381844,0.000024533561],"category_scores_gemma":[0.0002587187,0.00013619142,0.000098464945,0.00022405395,0.00008246873,0.00029460335,0.00018387505,0.0006104845,2.7210714e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020105052,0.00009392729,0.00034998058,0.000029310273,0.0007538148,0.00007462067,0.0010622606,0.4960534,0.20036912,0.0015538194,0.000018198403,0.29763106],"study_design_scores_gemma":[0.008360781,0.0016308827,0.0009943559,0.00015170193,0.00027031076,0.0009310606,0.0036848113,0.12663525,0.83715695,0.018376866,0.0012271239,0.0005798755],"about_ca_topic_score_codex":0.000013740904,"about_ca_topic_score_gemma":0.000004002186,"teacher_disagreement_score":0.63678783,"about_ca_system_score_codex":0.0002207112,"about_ca_system_score_gemma":0.00002848734,"threshold_uncertainty_score":0.5553725},"labels":[],"label_agreement":null},{"id":"W4211178509","doi":"10.1007/s00158-021-03090-z","title":"Isogeometric shape optimisation of volumetric blades for aircraft engines","year":2022,"lang":"en","type":"article","venue":"Structural and Multidisciplinary Optimization","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Isogeometric analysis; CAD; Blade (archaeology); Shape optimization; Computer science; Representation (politics); Geometric shape; Spline (mechanical); Engineering design process; Mechanical engineering; Finite element method; Structural engineering; Engineering drawing; Mathematics; Engineering; Geometry","score_opus":0.009299085858814799,"score_gpt":0.2452104483258072,"score_spread":0.2359113624669924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211178509","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43265495,0.0009236805,0.5652741,0.00006789775,0.00017211195,0.00045979113,0.00009063955,0.00031001453,0.000046795463],"genre_scores_gemma":[0.7794081,0.00012202706,0.22010265,0.0000037088494,0.000032069973,0.000089923196,0.00017377314,0.000021842481,0.000045931538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921477,0.000017303328,0.00027291264,0.00019040059,0.00014994483,0.00015464934],"domain_scores_gemma":[0.99962366,0.00007936551,0.000077959536,0.00010635771,0.00006951982,0.000043114964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007297454,0.00014300442,0.00020959851,0.00047764214,0.0002461258,0.0000109166795,0.000102755854,0.00003780004,0.00009194248],"category_scores_gemma":[0.000042326417,0.00013698386,0.000069050366,0.00120116,0.00003743291,0.00021053097,0.00009758622,0.00008687875,1.432701e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002166371,0.00000842716,0.0006023861,0.00008020195,0.00002361303,2.447951e-7,0.000118371994,0.9786736,0.0019997975,0.00006280356,0.00003453708,0.018374378],"study_design_scores_gemma":[0.00027006815,0.00015303341,0.0021244297,0.0000037134673,0.000054876225,0.0000054133243,0.00016620015,0.99478316,0.0016125294,0.00057336607,0.00008196489,0.00017123547],"about_ca_topic_score_codex":0.0000036743252,"about_ca_topic_score_gemma":4.1940814e-7,"teacher_disagreement_score":0.34675315,"about_ca_system_score_codex":0.000060405495,"about_ca_system_score_gemma":0.0000056419644,"threshold_uncertainty_score":0.558604},"labels":[],"label_agreement":null},{"id":"W4229039827","doi":"10.21203/rs.3.rs-1601250/v1","title":"Tool Positioning in Five Axis Machining on a Tensor Product Surface using Circular Rays","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Toroid; Surface (topology); Tensor product; Machining; Tensor (intrinsic definition); Product (mathematics); Quadratic equation; Transcendental equation; Geometry; Mathematics; Mathematical analysis; Physics; Engineering; Mechanical engineering; Numerical analysis; Pure mathematics","score_opus":0.05333859974451862,"score_gpt":0.38483637676917315,"score_spread":0.33149777702465455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229039827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98216313,0.0018798397,0.011047355,0.00015798339,0.00011924038,0.0016055519,0.00012290117,0.00086698117,0.0020370106],"genre_scores_gemma":[0.9830632,0.00020433194,0.01591561,0.00001565895,0.000121112025,0.0002708019,0.00015091259,0.00014361826,0.00011471227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958232,0.0006135483,0.00049371074,0.0009166317,0.0013034653,0.0008494655],"domain_scores_gemma":[0.998291,0.00034152233,0.00007126606,0.00097560603,0.0002094807,0.00011113435],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0015740274,0.00037721632,0.0005969274,0.00085385557,0.00029415384,0.00013088682,0.00058385433,0.00018352286,0.00028346863],"category_scores_gemma":[0.0006054207,0.00041723964,0.00021919172,0.0013711295,0.00007910474,0.00010025278,0.0010293433,0.004150133,0.000021475073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002851541,0.000069199115,0.0021607103,0.0006993777,0.00007890975,0.00019750997,0.0005048156,0.98554087,0.008012814,0.00006297931,0.00010857958,0.002535697],"study_design_scores_gemma":[0.00044711048,0.00027565038,0.0073212422,0.00277022,0.000049480182,0.000020464999,0.0011383974,0.9672345,0.012280295,0.005286705,0.0016263134,0.0015496504],"about_ca_topic_score_codex":0.0006961407,"about_ca_topic_score_gemma":0.00001291048,"teacher_disagreement_score":0.018306421,"about_ca_system_score_codex":0.0020933563,"about_ca_system_score_gemma":0.0001150037,"threshold_uncertainty_score":0.9998279},"labels":[],"label_agreement":null},{"id":"W4229585970","doi":"10.5539/jmr.v12n1p92","title":"Some Associated Curves of Normal Indicatrix of a Regular Curve","year":2020,"lang":"en","type":"article","venue":"Journal of Mathematics Research","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Frenet–Serret formulas; Mathematics; Euclidean geometry; Mathematical analysis; Space (punctuation); Euclidean space; Vector field; Geometry; Curvature","score_opus":0.06581178634153434,"score_gpt":0.35911272161726376,"score_spread":0.2933009352757294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229585970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8940121,0.013148449,0.08844878,0.002356372,0.00006148258,0.00051511364,0.00004614109,0.00014231069,0.0012692276],"genre_scores_gemma":[0.96889335,0.002982418,0.027967574,0.000016288604,0.00007566314,0.0000026060973,0.0000014689687,0.000031671432,0.000028935572],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99755335,0.00010925986,0.0008875431,0.00006313535,0.0011703268,0.00021636227],"domain_scores_gemma":[0.99826556,0.00043774725,0.00041352032,0.00016294453,0.0005815495,0.00013865938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017173521,0.00009266085,0.0005770257,0.00030067266,0.000019642224,0.000007532222,0.00046755862,0.000074564385,0.000051418458],"category_scores_gemma":[0.0020022714,0.00007563565,0.00019088143,0.0008329452,0.00011645285,0.00018460053,0.00009185262,0.00059939874,0.0000045760544],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020416742,0.0032032132,0.0039840913,0.024697164,0.0043879435,0.00026517533,0.009639145,0.018199362,0.84296155,0.008338438,0.07607382,0.008045904],"study_design_scores_gemma":[0.0014183027,0.0021231137,0.00120695,0.004059301,0.00028963367,0.000044920715,0.0013400712,0.0871088,0.83689106,0.06361771,0.0013909182,0.0005092622],"about_ca_topic_score_codex":0.0000021360993,"about_ca_topic_score_gemma":3.9189183e-7,"teacher_disagreement_score":0.074881256,"about_ca_system_score_codex":0.000061357896,"about_ca_system_score_gemma":0.000044271103,"threshold_uncertainty_score":0.30843323},"labels":[],"label_agreement":null},{"id":"W4229839262","doi":"10.1090/chel/346/05","title":"Seifert surfaces","year":2003,"lang":"en","type":"book-chapter","venue":"American Mathematical Society eBooks","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Materials science","score_opus":0.010551074184458819,"score_gpt":0.23072936638530953,"score_spread":0.2201782922008507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229839262","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000037553975,0.00018507626,0.06567013,0.00006537896,0.00003593264,0.0002687339,0.000020099063,0.0013695539,0.93234754],"genre_scores_gemma":[0.0031881842,0.0006700606,0.1823126,0.001814282,0.00016997397,0.00010526118,0.000029533958,0.0006409237,0.8110692],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980101,0.000014009519,0.00059066754,0.0004465507,0.0004617097,0.00047693923],"domain_scores_gemma":[0.9986506,0.00022258838,0.00017871663,0.0006568994,0.000059442937,0.00023176362],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013908056,0.0006532781,0.0011749946,0.00004312461,0.00008223054,0.000037920985,0.00034322738,0.0002853385,0.0009490829],"category_scores_gemma":[0.000022170785,0.0005973476,0.0008677087,0.000051818606,0.0007952379,0.000037706035,0.00007784789,0.0007266111,0.00069161406],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012791157,0.000118551914,0.000006950767,0.0017630899,0.0047250553,0.00006621571,0.0015257613,0.00087347603,0.0021334582,0.59346503,0.2575776,0.13773201],"study_design_scores_gemma":[0.000093337,0.00006325876,7.741597e-7,0.00017618782,0.00030604936,0.000016163262,0.000090524045,0.0042922474,0.00081542647,0.41884777,0.574076,0.0012222935],"about_ca_topic_score_codex":0.000002892087,"about_ca_topic_score_gemma":8.996401e-7,"teacher_disagreement_score":0.3164984,"about_ca_system_score_codex":0.00021013446,"about_ca_system_score_gemma":0.000017712999,"threshold_uncertainty_score":0.9999642},"labels":[],"label_agreement":null},{"id":"W4230046434","doi":"10.1016/s0010-4485(04)00064-8","title":"Iso-planar piecewise linear NC tool path generation from discrete measured data points","year":2004,"lang":"en","type":"article","venue":"Computer-Aided Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Piecewise linear function; Ball (mathematics); Cutter location; Data point; Planar; Boundary (topology); Algorithm; Computer science; Piecewise; Mathematics; Tool path; Geometry; Mechanical engineering; Mathematical analysis; Engineering; Computer graphics (images)","score_opus":0.05904611048195632,"score_gpt":0.2637714845016363,"score_spread":0.20472537401967997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230046434","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0054508066,0.0004229893,0.99214804,0.00014200993,0.00022544971,0.00029765532,0.000093359326,0.0011926297,0.000027047055],"genre_scores_gemma":[0.24638326,0.000079431346,0.7519926,0.00019544411,0.00060645165,0.000020971867,0.00064905075,0.000062710904,0.0000101117375],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981818,0.00009970722,0.00046897648,0.0005835764,0.00033178224,0.0003341591],"domain_scores_gemma":[0.9983718,0.00009191292,0.00008039306,0.0012564871,0.00006757254,0.00013186886],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025275495,0.00032709376,0.00041265466,0.00009739942,0.00009308395,0.00007818209,0.00071327074,0.00012793687,0.000024372188],"category_scores_gemma":[0.000056813995,0.0003144436,0.00008324911,0.00031050536,0.000037026206,0.00057251594,0.00012675492,0.00023603118,0.00012756955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048569997,0.00015372784,0.00010858149,0.000029682566,0.0004118741,0.00014316438,0.00022263825,0.7701127,0.13595359,0.0007031375,0.023078026,0.06903429],"study_design_scores_gemma":[0.0005668407,0.00010117421,0.00028653827,0.000061311075,0.00007907444,0.000006199979,0.0000024026035,0.95140076,0.03677896,0.007578686,0.0026211897,0.0005168595],"about_ca_topic_score_codex":0.000056031393,"about_ca_topic_score_gemma":0.00000934766,"teacher_disagreement_score":0.24093245,"about_ca_system_score_codex":0.00014723957,"about_ca_system_score_gemma":0.000029901783,"threshold_uncertainty_score":0.99993074},"labels":[],"label_agreement":null},{"id":"W4232380507","doi":"10.1142/5862","title":"Hilbert-Huang Transform and Its Applications","year":2005,"lang":"en","type":"book","venue":"Interdisciplinary mathematical sciences","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":414,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Natural language processing; Linguistics; Cognitive science; Psychology; Philosophy","score_opus":0.014969085359651925,"score_gpt":0.3005491783671162,"score_spread":0.2855800930074643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232380507","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000038477177,0.0020629491,0.17222808,0.0007196152,0.000030516687,0.00052554865,0.000022581027,0.0006722856,0.82369995],"genre_scores_gemma":[0.087115146,0.0026091537,0.115058005,0.0002576771,0.0015222013,0.00204983,0.00007148053,0.00039651222,0.79092],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984087,0.000008759215,0.00047688812,0.00041389812,0.00035439135,0.00033738336],"domain_scores_gemma":[0.99926627,0.00026535595,0.000062133695,0.00021545567,0.000028353827,0.00016245525],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019244391,0.00034451342,0.0004981389,0.00017918911,0.00021778865,0.000070613794,0.0005156365,0.00020042903,0.0003868118],"category_scores_gemma":[0.000011837705,0.00026599286,0.00015127264,0.00021737754,0.00042015733,0.00027300566,0.00028469306,0.00033931754,0.00025532322],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012217541,0.00029519454,0.0000012062402,0.0029705775,0.00035464522,0.0000305375,0.0018664503,0.0020439553,0.0008226423,0.46227506,0.026299682,0.50302786],"study_design_scores_gemma":[0.00005785107,0.00010663258,0.0000011717997,0.00043286305,0.00010519901,0.000041308653,0.000057381552,0.07962595,0.0005024286,0.8576096,0.060845457,0.0006141238],"about_ca_topic_score_codex":9.533996e-8,"about_ca_topic_score_gemma":0.0000027706385,"teacher_disagreement_score":0.5024137,"about_ca_system_score_codex":0.00015023831,"about_ca_system_score_gemma":0.000026939964,"threshold_uncertainty_score":0.9999792},"labels":[],"label_agreement":null},{"id":"W4234035687","doi":"10.1007/978-1-4757-3441-6_14","title":"The Method of Contour Integration","year":2001,"lang":"en","type":"book-chapter","venue":"Graduate texts in mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Methods of contour integration; Computer science; Geology; Mathematics; Mathematical analysis","score_opus":0.041638975782372516,"score_gpt":0.30218674918234456,"score_spread":0.26054777339997204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234035687","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000008864115,0.00039377587,0.63917136,0.000039100425,0.000049715192,0.0002311252,0.0000073193396,0.00019033751,0.3599084],"genre_scores_gemma":[0.0069097737,0.009504127,0.73478097,0.000032682823,0.00015843524,0.000097041644,0.000041980606,0.00035341937,0.24812157],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998685,0.000014989442,0.0007072939,0.00014114988,0.000280383,0.0001712108],"domain_scores_gemma":[0.99878806,0.00041152234,0.00022975501,0.0004607684,0.00007986152,0.000030021922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003855411,0.00028286016,0.0005560946,0.00014369622,0.000028672317,0.000016527529,0.0002905533,0.00017568162,0.000037873113],"category_scores_gemma":[0.00009112884,0.00019749308,0.00015544068,0.000086208194,0.00007724154,0.000044173466,0.000040771054,0.00044116535,0.000026018677],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041923954,0.000029225313,7.964777e-7,0.000286705,0.00016484628,0.000012424436,0.00046407693,0.0015686591,0.00035801975,0.69376254,0.0025046482,0.30084386],"study_design_scores_gemma":[0.00006142016,0.000018516868,0.0000016217773,0.0003583188,0.000066099914,0.000007934456,0.000036512956,0.04292407,0.001411282,0.9385303,0.016351229,0.00023265033],"about_ca_topic_score_codex":0.000003580159,"about_ca_topic_score_gemma":0.000032184886,"teacher_disagreement_score":0.30061123,"about_ca_system_score_codex":0.00009838971,"about_ca_system_score_gemma":0.000007606633,"threshold_uncertainty_score":0.8053534},"labels":[],"label_agreement":null},{"id":"W4236811154","doi":"10.4171/owr/2014/33","title":"Calculus of Variations","year":2015,"lang":"en","type":"article","venue":"Oberwolfach Reports","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Calculus of variations; Gaussian curvature; Differential geometry; Curvature; Calculus (dental); Metric (unit); Mathematics; Differential calculus; Vector calculus; Nonlinear system; Domain (mathematical analysis); Dynamical systems theory; Applied mathematics; Computer science; Mathematical analysis; Geometry; Physics","score_opus":0.017649843417829162,"score_gpt":0.24214381058253442,"score_spread":0.22449396716470527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236811154","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029079001,0.00032665898,0.9120793,0.000045873287,0.00020804367,0.00011976796,0.0000029859348,0.0007942209,0.057344157],"genre_scores_gemma":[0.98275816,0.0000072807525,0.016859407,0.000009599206,0.000026529837,0.000014802257,0.000008649869,0.000016387126,0.00029915918],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992706,0.000008714629,0.0003266137,0.00010594045,0.00017321749,0.00011488097],"domain_scores_gemma":[0.99944293,0.0000132325795,0.00007257387,0.00029329307,0.000084617146,0.00009333758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013236553,0.00007839844,0.00016749861,0.00005885461,0.000011603858,0.000004910595,0.000048098864,0.000043874206,0.000031177096],"category_scores_gemma":[0.00011213585,0.00007357331,0.000055938588,0.0002559148,0.000021002003,0.00008881236,0.000020684402,0.0000666773,0.00000839576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025886537,0.0008204146,0.04917116,0.00034180054,0.00109949,0.002081103,0.0025508455,0.49645078,0.10474984,0.035121933,0.113228805,0.19435795],"study_design_scores_gemma":[0.0005665891,0.00024307953,0.010369486,0.000088334,0.00035351265,0.00086388295,0.00018115783,0.23496579,0.32060632,0.059234474,0.37093502,0.0015923748],"about_ca_topic_score_codex":0.00004633086,"about_ca_topic_score_gemma":0.0000057820635,"teacher_disagreement_score":0.9536792,"about_ca_system_score_codex":0.000052696403,"about_ca_system_score_gemma":0.000015585756,"threshold_uncertainty_score":0.30002326},"labels":[],"label_agreement":null},{"id":"W4236962051","doi":"10.21203/rs.3.rs-245598/v1","title":"Numerical Implementation of Drop Spin and Tilt Method For Five-Axis Tool Positioning For Tensor Product Surfaces","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Machining; Point (geometry); Bézier surface; Tilt (camera); Quadratic equation; Bézier curve; Surface (topology); Position (finance); Geometry; Tensor product; Toroid; Extension (predicate logic); Spins; Tensor (intrinsic definition); Mathematics; Computer science; Algorithm; Mechanical engineering; Physics; Engineering; Pure mathematics","score_opus":0.0435768293148939,"score_gpt":0.45481205512761425,"score_spread":0.4112352258127203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236962051","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08997218,0.0015048017,0.904944,0.0003292804,0.000046245805,0.002634027,0.0003414819,0.00019552441,0.000032460128],"genre_scores_gemma":[0.51562744,0.00032558758,0.48196998,0.0000061148744,0.0000951033,0.0013987509,0.0004612751,0.000061444494,0.000054311167],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99789244,0.00018037787,0.00046694325,0.0005754736,0.00044182863,0.00044296455],"domain_scores_gemma":[0.99789894,0.00065343064,0.00009086891,0.00039042195,0.00088742597,0.000078894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010533942,0.00022353232,0.0005576183,0.00026260232,0.0001246957,0.000097173586,0.00019972921,0.00013654414,0.00004186993],"category_scores_gemma":[0.0005278272,0.00022236723,0.00020186836,0.00037807898,0.000058245136,0.0001278072,0.00023744632,0.00044529542,5.602568e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033351543,0.000308273,0.004597593,0.03090219,0.0016318846,0.000015388274,0.002813654,0.15500012,0.27043554,0.0010257926,0.004863428,0.5280726],"study_design_scores_gemma":[0.0007379867,0.0007188232,0.0071884575,0.0009182591,0.0001616116,0.0000058915507,0.0024015026,0.43953234,0.53746057,0.007853453,0.0022231431,0.00079795666],"about_ca_topic_score_codex":0.00030850573,"about_ca_topic_score_gemma":0.000027018918,"teacher_disagreement_score":0.52727467,"about_ca_system_score_codex":0.0001874427,"about_ca_system_score_gemma":0.00008149619,"threshold_uncertainty_score":0.9067873},"labels":[],"label_agreement":null},{"id":"W4238610804","doi":"10.1007/s00170-021-07137-9","title":"Numerical implementation of drop spin and tilt method for five-axis tool positioning for tensor product surfaces","year":2021,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Machining; Curvature; Tilt (camera); Quadratic equation; Point (geometry); Surface (topology); Mathematics; Geometry; Position (finance); Bézier surface; Tensor product; Algorithm; Mathematical analysis; Mechanical engineering; Bézier curve; Engineering; Pure mathematics","score_opus":0.007746113137500027,"score_gpt":0.31931104695959267,"score_spread":0.31156493382209266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238610804","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4290904,0.0003798519,0.5679754,0.0021581985,0.00013304902,0.00017068652,0.000019204448,0.00006611469,0.0000071103964],"genre_scores_gemma":[0.5877736,0.00019096944,0.4118748,0.00003879565,0.000052205673,0.00002751545,0.0000062600816,0.000016250933,0.000019583431],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99902904,0.000016008697,0.00048279454,0.00014805961,0.00017326491,0.00015084464],"domain_scores_gemma":[0.9989027,0.00024097443,0.00028932467,0.0001367435,0.00041025973,0.000020018439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002093738,0.00012333925,0.00028732125,0.00020049367,0.000050633156,0.000018521776,0.00030895034,0.00004880666,0.00001110079],"category_scores_gemma":[0.00016100261,0.00009839572,0.00011001372,0.00010490101,0.00004999621,0.00018257282,0.00006208384,0.00016163012,2.0071631e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014509617,0.000037019625,0.00012757946,0.000070971015,0.00051666645,0.000009377363,0.000113713584,0.080423646,0.56637114,0.0017797687,0.00016155388,0.35024348],"study_design_scores_gemma":[0.0004988995,0.0001368475,0.0003793909,0.000044241573,0.00005190871,0.00013813468,0.00035292166,0.0047892886,0.96364325,0.027747713,0.0021155928,0.00010179506],"about_ca_topic_score_codex":0.000005621699,"about_ca_topic_score_gemma":0.0000054086277,"teacher_disagreement_score":0.39727214,"about_ca_system_score_codex":0.00009050576,"about_ca_system_score_gemma":0.000021076756,"threshold_uncertainty_score":0.4012461},"labels":[],"label_agreement":null},{"id":"W4238610911","doi":"10.1007/978-3-662-44185-5_100726","title":"MicroFUN","year":2015,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Astrobiology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science","score_opus":0.010539942054569361,"score_gpt":0.22380196807955607,"score_spread":0.2132620260249867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4238610911","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000059354403,0.002188903,0.010192856,0.000016631184,0.0002908384,0.0001256258,0.00008887737,0.00037479034,0.98666215],"genre_scores_gemma":[0.003660937,0.007981995,0.062281914,0.000047995607,0.00086120854,0.000035337478,0.0006132174,0.00032632108,0.92419106],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99903274,0.000008392307,0.00042327496,0.00023186472,0.00008043384,0.00022332583],"domain_scores_gemma":[0.9993214,0.000045939636,0.00012720635,0.00033907144,0.00008529288,0.000081070015],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00005303714,0.00031465697,0.0006746926,0.00016292903,0.000009236303,0.0000015881621,0.00026225578,0.00040660112,0.00054880907],"category_scores_gemma":[0.0000166603,0.00030093355,0.00016271454,0.000031504173,0.00014967353,0.00003257966,0.00007673163,0.0003744529,0.00018980914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080796555,0.00007216163,0.00026396252,0.0004298239,0.0018113075,0.00008839563,0.00020363364,0.005194298,0.011728497,0.092278376,0.6327328,0.25511596],"study_design_scores_gemma":[0.00007650173,0.00009650826,0.000005024209,0.000031154847,0.00005903376,0.000006759139,0.0000019359102,0.000020557529,0.0003802744,0.0153273,0.98373073,0.00026420195],"about_ca_topic_score_codex":0.0000022323663,"about_ca_topic_score_gemma":0.000004168518,"teacher_disagreement_score":0.35099795,"about_ca_system_score_codex":0.000071583,"about_ca_system_score_gemma":0.000025140402,"threshold_uncertainty_score":0.99994427},"labels":[],"label_agreement":null},{"id":"W4239518452","doi":"10.17114/j.aua.2018.54.07","title":"ON RUNGE–KUTTA–NYSTROM FORMULAE WITH CONTRACTIVITY PRESERVING PROPERTIES FOR SECOND ORDER ODES","year":2018,"lang":"en","type":"article","venue":"Acta Universitatis Apulensis","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ode; Runge–Kutta methods; Mathematics; Order (exchange); Ordinary differential equation; Applied mathematics; Mathematical analysis; Differential equation; Economics","score_opus":0.009868484704133752,"score_gpt":0.20383058046360272,"score_spread":0.19396209575946896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239518452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8808394,0.000064009364,0.1149299,0.00018313414,0.000052160965,0.00042147771,0.00004544764,0.00052508997,0.002939348],"genre_scores_gemma":[0.9635419,0.000013559578,0.035662092,0.00007383975,0.000039064584,0.000016020691,0.000009710335,0.000044576016,0.00059922226],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99911505,0.00002015086,0.00012797068,0.00026958942,0.00015311962,0.0003141003],"domain_scores_gemma":[0.9990994,0.00022135153,0.00005939488,0.0003029495,0.00024664562,0.00007026812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056755056,0.0002168018,0.00028185474,0.00012520597,0.0001735072,0.00003287403,0.00020233476,0.000060786224,0.00013541075],"category_scores_gemma":[0.00006988396,0.00018208013,0.00006249809,0.00026760445,0.00010747326,0.0006547411,0.00004554464,0.00012681742,0.000010262112],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0029827498,0.00054864585,0.0017762834,0.0010802561,0.0039790124,0.000085995875,0.0062445085,0.008115987,0.83819324,0.0071789464,0.07025694,0.059557464],"study_design_scores_gemma":[0.003836125,0.0034238289,0.0052155247,0.00068774977,0.00075193675,0.000023661834,0.0032269415,0.23376803,0.6803357,0.00605117,0.05999783,0.002681483],"about_ca_topic_score_codex":0.000038859696,"about_ca_topic_score_gemma":0.00041511457,"teacher_disagreement_score":0.22565205,"about_ca_system_score_codex":0.000126564,"about_ca_system_score_gemma":0.000014973285,"threshold_uncertainty_score":0.7425012},"labels":[],"label_agreement":null},{"id":"W4241299865","doi":"10.1111/cgf.12177","title":"Fitting Polynomial Volumes to Surface Meshes with Voronoï Squared Distance Minimization","year":2013,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Computer Research Institute of Montréal","funders":"Agence Nationale de la Recherche","keywords":"Polygon mesh; Voronoi diagram; Grid; Surface (topology); Algorithm; Computer science; Subdivision surface; Finite element method; Polynomial; Energy minimization; Computer graphics; Mathematics; Geometry; Computer graphics (images); Mathematical analysis","score_opus":0.004084501923665452,"score_gpt":0.19142793182246207,"score_spread":0.18734342989879663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241299865","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15556684,0.00011582336,0.8427823,0.0003619869,0.000102404134,0.00025192494,0.000004231321,0.0007231913,0.00009127772],"genre_scores_gemma":[0.86039895,0.000019221561,0.13912089,0.000247681,0.00006822405,0.000032140328,0.000015842239,0.000046589746,0.00005047175],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989143,0.000017714015,0.00025352876,0.00027507427,0.00016669018,0.0003727003],"domain_scores_gemma":[0.9993661,0.000055298387,0.000048474714,0.00030641397,0.000094904724,0.00012883048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004084785,0.00021960611,0.0002550792,0.0001048548,0.00009659893,0.00008489513,0.0002392704,0.00006694543,0.000015538746],"category_scores_gemma":[0.000007300453,0.00019797219,0.00007389649,0.0005878456,0.00004885813,0.0003251159,0.00007299674,0.00013790384,0.000024082445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005370146,0.00015221289,0.0744589,0.00019957538,0.0004339058,0.000012688957,0.0010412491,0.62379473,0.0026821585,0.003787418,0.11427494,0.1791085],"study_design_scores_gemma":[0.00020843066,0.00012653584,0.005940199,0.00007233622,0.000021747726,0.0000027388126,0.00005406744,0.97467184,0.0028023608,0.00085645716,0.014729678,0.00051362684],"about_ca_topic_score_codex":0.000046993824,"about_ca_topic_score_gemma":0.00006338802,"teacher_disagreement_score":0.7048321,"about_ca_system_score_codex":0.000045771405,"about_ca_system_score_gemma":0.0000062354306,"threshold_uncertainty_score":0.8073071},"labels":[],"label_agreement":null},{"id":"W4241391540","doi":"10.1142/s0219691314020019","title":"Preface","year":2014,"lang":"en","type":"article","venue":"International Journal of Wavelets Multiresolution and Information Processing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Download; Library science; Computer science; Wavelet; Mathematics; Artificial intelligence; World Wide Web","score_opus":0.003425795808693976,"score_gpt":0.22220904602392574,"score_spread":0.21878325021523176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241391540","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03732941,0.00016659476,0.9586384,0.00032756221,0.00022499071,0.000034064065,0.0000018666052,0.00010465153,0.0031724041],"genre_scores_gemma":[0.979603,0.00016728822,0.019889062,0.00022820442,0.00009225577,0.000001083726,0.0000044765015,0.000004815608,0.000009792855],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920547,0.000010375477,0.00041434876,0.000030694522,0.00026328932,0.00007585162],"domain_scores_gemma":[0.9993045,0.000019631292,0.00020352213,0.00003315233,0.0003883681,0.000050851835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017722159,0.00007102196,0.000101239486,0.00021613511,0.000036174915,0.00008419193,0.00012314829,0.000036299647,0.000010315056],"category_scores_gemma":[0.0001213037,0.000061008086,0.000035518762,0.00008093934,0.00002816113,0.002755639,0.000018157867,0.000114829614,0.0000054840602],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017479293,0.000009734962,0.00015631446,0.00002777953,0.000028105884,5.621392e-7,0.0003477532,0.008860389,0.0015721871,0.00072211114,0.00033699337,0.9879206],"study_design_scores_gemma":[0.00056408223,0.000042378248,0.0032192771,0.00012116447,0.000012741847,0.000101075704,0.00009467296,0.8323036,0.00550503,0.0006950543,0.15719344,0.00014752652],"about_ca_topic_score_codex":0.0000011276453,"about_ca_topic_score_gemma":2.3169174e-7,"teacher_disagreement_score":0.98777306,"about_ca_system_score_codex":0.000060394024,"about_ca_system_score_gemma":0.00000992678,"threshold_uncertainty_score":0.24878375},"labels":[],"label_agreement":null},{"id":"W4241661051","doi":"10.1007/978-3-642-01742-1_13","title":"Some remarks on flows of line elements and frames","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Geodesic; Constant curvature; Isotropy; Curvature; Line (geometry); Motion (physics); Surface (topology); Manifold (fluid mechanics); Classical mechanics; Mathematics; Mathematical analysis; Geometry; Physics; Engineering","score_opus":0.007842994416309122,"score_gpt":0.23588506567668568,"score_spread":0.22804207126037657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241661051","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013391934,0.0029594575,0.032103635,0.000095469564,0.00006170397,0.00031596937,0.000030572126,0.000907685,0.9633916],"genre_scores_gemma":[0.015100483,0.020482937,0.2594024,0.00087463483,0.0006242954,0.00001857974,0.00014775229,0.00029244853,0.70305645],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992144,0.0000021126943,0.00032968415,0.00017967144,0.000160954,0.000113174065],"domain_scores_gemma":[0.9995911,0.00002905137,0.00006137121,0.0002460735,0.000024016146,0.00004834608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000361438,0.0002366169,0.00042532303,0.0001445844,0.000009812361,0.000005098827,0.00008946901,0.00020009172,0.00023776671],"category_scores_gemma":[0.000008354907,0.00020275962,0.00008940762,0.000019125137,0.000021816097,0.000045902678,0.000026572883,0.0002477229,0.000012937964],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026995936,0.000044191776,0.000006887664,0.00023912953,0.0005102886,0.000021040049,0.000019135354,0.0026100075,0.0030290387,0.1150987,0.0059104976,0.8724841],"study_design_scores_gemma":[0.0003488514,0.0006824698,0.000033221615,0.00071710435,0.00024342291,0.0000030177848,0.0000031729303,0.02550141,0.01190497,0.48001903,0.4793051,0.0012382382],"about_ca_topic_score_codex":0.0000016671204,"about_ca_topic_score_gemma":0.000003210465,"teacher_disagreement_score":0.87124586,"about_ca_system_score_codex":0.000031927433,"about_ca_system_score_gemma":0.0000022295708,"threshold_uncertainty_score":0.82682973},"labels":[],"label_agreement":null},{"id":"W4241745308","doi":"10.13052/ejcm.18.177-194","title":"Reconstruction automatique des entités d’un modèle BREP à partir d’un maillage déformé","year":2009,"lang":"en","type":"article","venue":"European Journal of Computational Mechanics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"CAD; Automation; Computer science; Engineering drawing; Product (mathematics); Electronic design automation; Product design; Engineering; Mechanical engineering; Mathematics; Geometry; Embedded system","score_opus":0.011139921143280716,"score_gpt":0.2156734668410573,"score_spread":0.20453354569777657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241745308","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14665785,0.00016390896,0.8519239,0.00009215269,0.00013682942,0.00004703695,0.000003010877,0.00023019349,0.00074514543],"genre_scores_gemma":[0.6714021,0.0000716776,0.32833228,0.00006828065,0.00009418508,3.6794398e-7,0.0000031066152,0.000023056758,0.0000049659416],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859554,0.000117877586,0.0006961825,0.00011374428,0.0002949587,0.00018173005],"domain_scores_gemma":[0.9991909,0.000055383312,0.0002778889,0.00010942993,0.00024129552,0.00012509324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050396624,0.00016837726,0.0002471262,0.00018036544,0.00009855714,0.00004867308,0.00021384156,0.000029951692,0.000084731095],"category_scores_gemma":[0.00006297292,0.00015939596,0.0001628173,0.00029020826,0.000021344398,0.00038466175,0.000020560134,0.00026008562,0.00002351661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013832894,0.00005382102,0.0000055695086,0.000012141089,0.00009030449,0.0000808417,0.00014229208,0.66233873,0.010576727,0.004469507,0.000103564475,0.32211265],"study_design_scores_gemma":[0.0004845355,0.00034585132,0.0009999847,0.000115419214,0.00006588087,0.0012980049,0.00005223163,0.72344935,0.022544524,0.24973224,0.000616284,0.00029572385],"about_ca_topic_score_codex":1.13787266e-7,"about_ca_topic_score_gemma":9.6687344e-8,"teacher_disagreement_score":0.5247442,"about_ca_system_score_codex":0.00008478756,"about_ca_system_score_gemma":0.000014374375,"threshold_uncertainty_score":0.64999783},"labels":[],"label_agreement":null},{"id":"W4243123018","doi":"10.22215/etd/2013-07137","title":"A topological feature heuristic for subdivision model inspection and analysis","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Subdivision; Heuristic; Computer science; Topology (electrical circuits); Artificial intelligence; Mathematics; Combinatorics; Geography","score_opus":0.007693540564705478,"score_gpt":0.2692828315489901,"score_spread":0.2615892909842846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243123018","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06464807,0.0005353802,0.9302256,0.0000204821,0.000057530542,0.00035891542,0.000020988102,0.0012661328,0.0028668833],"genre_scores_gemma":[0.918763,0.00057555543,0.070716366,0.000026070255,0.000048325957,0.00026707497,0.0015890432,0.000049813483,0.007964782],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999206,0.000007347083,0.00019918634,0.00030320705,0.00011806578,0.000166185],"domain_scores_gemma":[0.99957764,0.000051789204,0.000051966752,0.00016670985,0.00008708089,0.00006480931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000037577458,0.00024298875,0.0005009863,0.00031251027,0.00006715718,0.00003968388,0.000082131424,0.00036465496,0.000041807536],"category_scores_gemma":[0.000042493073,0.00019420827,0.00021445584,0.00042137402,0.000015734731,0.00008991877,0.000009651643,0.0002256763,0.0000036807276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005428934,0.00055340474,0.0016265434,0.004197224,0.013502722,0.00001585003,0.0023710297,0.60493666,0.039571706,0.054565456,0.08641224,0.19170426],"study_design_scores_gemma":[0.000056264264,0.000034580833,0.00085050444,0.000010867344,0.0008263897,3.5182057e-7,0.00008306106,0.987831,0.0015071433,0.008403181,0.00013748354,0.0002591963],"about_ca_topic_score_codex":0.000016907225,"about_ca_topic_score_gemma":0.00008934062,"teacher_disagreement_score":0.8595092,"about_ca_system_score_codex":0.000059812977,"about_ca_system_score_gemma":0.0000039347124,"threshold_uncertainty_score":0.7919584},"labels":[],"label_agreement":null},{"id":"W4243630352","doi":"10.20944/preprints201812.0081.v1","title":"A Method of Solving Compressible Navier Stokes Equations in Cylindrical Coordinates Using Geometric Algebra","year":2018,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Mathematical analysis; Mathematics; Inviscid flow; Flow (mathematics); Line integral; Dimensionless quantity; Compressibility; Navier–Stokes equations; Cylindrical coordinate system; Vorticity; Stokes flow; Azimuth; Boundary layer; Boundary (topology); Compressible flow; Geometry; Physics; Integral equation; Classical mechanics; Mechanics; Vortex","score_opus":0.12163654469698415,"score_gpt":0.3919592437472459,"score_spread":0.27032269905026174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243630352","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3630738,0.0004750567,0.6340592,0.000018083636,0.00013462338,0.00038659203,0.000018545232,0.00039949475,0.0014346045],"genre_scores_gemma":[0.8251069,0.00013604031,0.1744023,0.0000115799485,0.00008045741,0.0001129372,0.000027257965,0.00008118538,0.000041313837],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968708,0.00021138217,0.0011473389,0.00081516587,0.0004427493,0.0005125234],"domain_scores_gemma":[0.99755555,0.0005638277,0.00037849802,0.0011045955,0.00026428312,0.00013323441],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00088961626,0.00048403026,0.0011259764,0.0013828054,0.00006779708,0.000022373933,0.0008343696,0.00046307495,0.0004539971],"category_scores_gemma":[0.0006513755,0.00052529864,0.00032296078,0.0017955747,0.00014770086,0.00020301045,0.0017286295,0.0011949891,0.00007657822],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024752151,0.00033125904,0.1847257,0.0008480027,0.00050209736,0.00001685084,0.00059992395,0.7289143,0.07366783,0.00028642078,0.000022774639,0.0100600645],"study_design_scores_gemma":[0.00028524423,0.000019747074,0.031097962,0.00071812246,0.00021412733,0.0000061495134,0.00005676148,0.68049,0.27405736,0.01192968,0.00029559727,0.0008292313],"about_ca_topic_score_codex":0.00038749698,"about_ca_topic_score_gemma":0.000015229085,"teacher_disagreement_score":0.46203312,"about_ca_system_score_codex":0.00040182742,"about_ca_system_score_gemma":0.000063804364,"threshold_uncertainty_score":0.99971986},"labels":[],"label_agreement":null},{"id":"W4244032095","doi":"10.31399/asm.hb.v21.a0003405","title":"Elastomeric Tooling","year":2001,"lang":"en","type":"book-chapter","venue":"Composites","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Elastomer; Natural rubber; Materials science; Molding (decorative); Curing (chemistry); Blow molding; Composite material; Mechanical engineering; Engineering; Mold","score_opus":0.009131244499131429,"score_gpt":0.2115057323255764,"score_spread":0.20237448782644496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244032095","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000054785814,0.0043404563,0.08247141,0.000011485521,0.0001005093,0.00010033851,0.000008318465,0.0017191712,0.91119355],"genre_scores_gemma":[0.057350807,0.011158553,0.07140165,0.00036784544,0.0014619309,0.00006383946,0.00035402333,0.0009100618,0.85693127],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991525,0.0000027404494,0.00026314464,0.00022145102,0.00015442807,0.00020573288],"domain_scores_gemma":[0.9994564,0.00005991345,0.00005400164,0.00031869777,0.000035417073,0.00007556078],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000021193413,0.00032941916,0.00043697777,0.00018453399,0.000041116164,0.000026061429,0.00022250475,0.00017801586,0.00047339313],"category_scores_gemma":[0.000003843062,0.00033980337,0.00018256389,0.000064600754,0.00005117489,0.000066371926,0.000057400488,0.00035824755,0.00046701252],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053309013,0.00010034402,0.0003063791,0.0009009779,0.0028028844,0.0007393351,0.00016784582,0.13699754,0.07912585,0.14254719,0.07253248,0.5637259],"study_design_scores_gemma":[0.000051102244,0.000029567973,0.0000070273436,0.00014912251,0.00010101184,0.000021547317,7.963828e-7,0.0061347354,0.002355599,0.014423326,0.97613126,0.0005948857],"about_ca_topic_score_codex":0.000001152798,"about_ca_topic_score_gemma":0.0000015129463,"teacher_disagreement_score":0.9035988,"about_ca_system_score_codex":0.000098473,"about_ca_system_score_gemma":0.0000037988582,"threshold_uncertainty_score":0.9999054},"labels":[],"label_agreement":null},{"id":"W4244456599","doi":"10.21203/rs.3.rs-300596/v1","title":"A new approach to find gouge free tool positions for a toroidal cutter for Bezier surfaces in Five axis machining","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Machining; Bézier curve; Toroid; Point (geometry); Bézier surface; Computer science; Surface (topology); Speedup; Position (finance); Factor (programming language); Mechanical engineering; Engineering drawing; Geometry; Engineering; Mathematics; Parallel computing; Physics","score_opus":0.04732997103518765,"score_gpt":0.3787004135025293,"score_spread":0.33137044246734165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244456599","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.059587426,0.0008832984,0.93191665,0.0006994338,0.00008177573,0.0039757006,0.0010899338,0.00034547376,0.0014202913],"genre_scores_gemma":[0.29158038,0.00009952925,0.6983633,0.00006154537,0.00035445674,0.005932678,0.0012569197,0.00017607892,0.002175143],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971601,0.00012721612,0.0004622056,0.0008320793,0.00056449417,0.0008539155],"domain_scores_gemma":[0.9977112,0.0007227293,0.000039433362,0.0009437521,0.00035128885,0.0002316133],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00071639736,0.00034496223,0.00063154125,0.00055479753,0.00013896698,0.00024378306,0.0007698969,0.0003608833,0.00009255571],"category_scores_gemma":[0.0008764799,0.00036333184,0.00035448818,0.0006789934,0.00003912691,0.0001675794,0.0009273196,0.0011828245,0.000008985413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004627433,0.0006908289,0.0011653374,0.008199031,0.0010371606,0.000047422283,0.01062257,0.75714207,0.013062238,0.0013711073,0.11970722,0.0864923],"study_design_scores_gemma":[0.0036963604,0.0011188227,0.0114138145,0.004663324,0.0002629539,0.000015240434,0.004599809,0.84547675,0.023186013,0.062986314,0.038288258,0.004292315],"about_ca_topic_score_codex":0.00062950153,"about_ca_topic_score_gemma":0.00029958694,"teacher_disagreement_score":0.23355338,"about_ca_system_score_codex":0.0006331464,"about_ca_system_score_gemma":0.00017110872,"threshold_uncertainty_score":0.99988186},"labels":[],"label_agreement":null},{"id":"W4245394251","doi":"10.1190/1.1851110","title":"Curvelet‐domain multiple elimination with sparseness constraints","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; University of Minnesota","keywords":"Curvelet; Computer science; Domain (mathematical analysis); Artificial intelligence; Pattern recognition (psychology); Machine learning; Mathematics; Wavelet; Wavelet transform","score_opus":0.0061775381887361975,"score_gpt":0.20283033676762555,"score_spread":0.19665279857888934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245394251","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.096607015,0.000013396896,0.89643574,0.00009089561,0.000014018961,0.0000895762,0.0000019520296,0.00083328673,0.005914153],"genre_scores_gemma":[0.8395294,0.000009033333,0.16034445,0.0000351328,0.000013434228,0.000017946993,0.0000073814213,0.000017160708,0.000026088286],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99948865,0.000005708039,0.00011737928,0.000119757875,0.000115022034,0.00015345337],"domain_scores_gemma":[0.99975175,0.000023840274,0.00001609577,0.00012690377,0.000033324108,0.000048102458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000041657193,0.00010743119,0.00012327712,0.000058440684,0.00002661321,0.000011054525,0.0000684909,0.00002888777,0.00006110062],"category_scores_gemma":[0.000013148618,0.00008554931,0.000026798398,0.00021941628,0.000072070594,0.00012607047,0.00000898007,0.00007237157,0.000032034506],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048536767,0.0002875964,0.005741343,0.00011966884,0.0002612909,0.00011661323,0.0004884199,0.6489003,0.105002165,0.062684454,0.00033651327,0.17601311],"study_design_scores_gemma":[0.00356199,0.00026445754,0.016142655,0.0001666266,0.00007576362,0.00009753694,0.0007487377,0.038484912,0.89148384,0.039140318,0.008096306,0.001736848],"about_ca_topic_score_codex":0.000018084971,"about_ca_topic_score_gemma":0.000078540375,"teacher_disagreement_score":0.7864817,"about_ca_system_score_codex":0.000079267644,"about_ca_system_score_gemma":0.000006628003,"threshold_uncertainty_score":0.34885997},"labels":[],"label_agreement":null},{"id":"W4245537787","doi":"10.1090/surv/239/01","title":"Geometry and analysis on the disk","year":2019,"lang":"en","type":"book-chapter","venue":"Mathematical surveys and monographs","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Geometry; Computer science; Mathematics","score_opus":0.013902835353664544,"score_gpt":0.2226414626186425,"score_spread":0.20873862726497797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245537787","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066982373,0.002796884,0.6264311,0.00018190895,0.000054364347,0.0007366717,0.000244364,0.00068633724,0.3621701],"genre_scores_gemma":[0.80591255,0.0132083325,0.010668444,0.00043011687,0.00014635827,0.00012787785,0.00029880792,0.0004913753,0.16871613],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989433,0.00005017165,0.00030706578,0.0002901143,0.00021330063,0.00019600654],"domain_scores_gemma":[0.99868166,0.0006892877,0.0000619439,0.00044150496,0.000022789807,0.000102833605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006599242,0.00034119142,0.0007125853,0.00034736443,0.00005856673,0.000060409708,0.00013575895,0.00019991919,0.0003323811],"category_scores_gemma":[0.000034993303,0.00020846337,0.00029419805,0.00023891374,0.00015701436,0.000034372268,0.00007386884,0.000346154,0.000039572264],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007886537,0.00007169396,0.0016872594,0.00061973446,0.0073627196,0.000014046345,0.00012943328,0.00028810237,0.000033045057,0.8270267,0.0016166848,0.16114266],"study_design_scores_gemma":[0.00028388435,0.00028680882,0.009272251,0.00043686407,0.0047196285,0.000008665831,0.000042290514,0.042141505,0.00014439727,0.88958794,0.05079123,0.0022845468],"about_ca_topic_score_codex":0.000002506886,"about_ca_topic_score_gemma":0.0000051606057,"teacher_disagreement_score":0.7992143,"about_ca_system_score_codex":0.000012495019,"about_ca_system_score_gemma":0.0000019626143,"threshold_uncertainty_score":0.850089},"labels":[],"label_agreement":null},{"id":"W4247804152","doi":"10.1002/9781119701675.ch8","title":"Calculus Approach","year":2021,"lang":"en","type":"other","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Lagrange multiplier; Differentiable function; Mathematics; Augmented Lagrangian method; Constraint algorithm; Multiplier (economics); Differential calculus; Applied mathematics; Maxima and minima; Mathematical optimization; Constraint (computer-aided design); Calculus (dental); Mathematical analysis; Geometry","score_opus":0.007137064071175699,"score_gpt":0.2209846442194483,"score_spread":0.2138475801482726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4247804152","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[2.8475393e-8,0.0020462198,0.40466887,0.0000017843466,0.000023533064,0.000030589697,0.0000015148983,0.0015571837,0.5916703],"genre_scores_gemma":[0.000044276163,0.0004696293,0.13275664,0.000029017936,0.000113294394,0.00002373112,0.000061896164,0.00041101326,0.8660905],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99957097,0.0000048757993,0.000078970144,0.00014595689,0.000081157275,0.00011808371],"domain_scores_gemma":[0.9996958,0.000004642303,0.0000117500795,0.00024488982,0.000004784996,0.00003817454],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000092145365,0.00014693961,0.00023787275,0.00007996498,0.000004113429,0.000007055121,0.00009531266,0.00015285144,0.0071713743],"category_scores_gemma":[0.0000040811365,0.00012711796,0.000077747216,0.00017200493,0.000013051609,0.0000062158347,0.000024293397,0.00012418327,0.000053300966],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.8780716e-8,0.000009046078,7.6227195e-7,0.000074265976,0.00008495366,0.0000052542327,0.0000024305275,0.00027080145,0.000087163986,0.00046748723,0.9890746,0.009923222],"study_design_scores_gemma":[0.0000165769,0.0000013687071,4.2170163e-7,0.000019167288,0.000013786594,0.000001585061,0.0000038403236,0.0056290776,0.00039201975,0.00004344259,0.9936978,0.00018090541],"about_ca_topic_score_codex":0.000028608853,"about_ca_topic_score_gemma":0.000010546853,"teacher_disagreement_score":0.27442023,"about_ca_system_score_codex":0.000020560832,"about_ca_system_score_gemma":0.0000025349646,"threshold_uncertainty_score":0.9937362},"labels":[],"label_agreement":null},{"id":"W4248286304","doi":"10.1515/iupac.73.0384","title":"Lcat","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan College","funders":"","keywords":"Table (database); Product (mathematics); Chemistry; Biochemistry; Food science; Commission; Organic chemistry; Polymer science; Computer science; Political science; Mathematics; Data mining; Law","score_opus":0.007839345636142282,"score_gpt":0.3748008726741216,"score_spread":0.3669615270379793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248286304","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000048452184,0.00096091,0.020656316,0.00010269096,0.00027113696,0.00012732887,0.97694,0.000839873,0.000096909076],"genre_scores_gemma":[0.0000127721305,0.0032458487,0.0007026495,0.000095270516,0.0005660931,0.000023358427,0.995105,0.00007356396,0.00017543568],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981982,0.000022038384,0.00040438486,0.00033433133,0.0006483171,0.00039273384],"domain_scores_gemma":[0.99872106,0.000057899215,0.00008172419,0.0008263243,0.00016513058,0.0001478367],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013976415,0.00043968775,0.00065348175,0.00021998906,0.000040473602,0.000026273601,0.00045545815,0.00032074156,0.002093019],"category_scores_gemma":[0.00015288182,0.00033167558,0.00020064264,0.00025711162,0.00008441616,0.00009369827,0.00010158873,0.0004594716,0.0000071183194],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008620347,0.000029260425,6.0575434e-7,0.000085905594,0.00010275614,0.000026144196,0.0000010742589,0.00004510312,0.0000390111,0.0000031383343,0.98821205,0.011446347],"study_design_scores_gemma":[0.00014933624,0.000046151203,0.0000016272248,0.00016748885,0.00008839949,0.0000048465004,0.0000016692178,0.00006177952,0.0002289538,0.00052929594,0.998274,0.00044642447],"about_ca_topic_score_codex":0.000015213291,"about_ca_topic_score_gemma":0.00010169093,"teacher_disagreement_score":0.019953666,"about_ca_system_score_codex":0.00049680145,"about_ca_system_score_gemma":0.000062988845,"threshold_uncertainty_score":0.9999135},"labels":[],"label_agreement":null},{"id":"W4248892306","doi":"10.1007/978-3-319-48311-5_30","title":"Best Approximation Algorithms","year":2017,"lang":"en","type":"book-chapter","venue":"CMS books in mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Corollary; Intersection (aeronautics); Monotone polygon; Algorithm; Regular polygon; Mathematics; Projection (relational algebra); Computer science; Combinatorics; Discrete mathematics","score_opus":0.02832852207741743,"score_gpt":0.267388437995249,"score_spread":0.23905991591783154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248892306","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000039834827,0.00040737248,0.17872816,0.000008930654,0.00008037718,0.00027913967,0.000012609666,0.00041801124,0.82006145],"genre_scores_gemma":[0.00054221397,0.0007513615,0.31924766,0.000017024848,0.00022993324,0.000090469555,0.0000536085,0.00031078444,0.67875695],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987587,0.000003088662,0.0005304787,0.00022974443,0.00026124268,0.0002167489],"domain_scores_gemma":[0.99880284,0.000050770137,0.00021706487,0.0008261452,0.000044401604,0.000058767582],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012976237,0.0003851378,0.0006343411,0.00020759822,0.00005058473,0.00005367316,0.0004109916,0.00035813675,0.000091941125],"category_scores_gemma":[0.000043343498,0.00038406142,0.00014895898,0.00001321076,0.00010151614,0.000111693225,0.00008085285,0.0004965758,0.00024708884],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045161696,0.00015710958,0.000005005756,0.0041463347,0.00046694546,0.00017361023,0.0012100815,0.0030452257,0.0005568429,0.7430719,0.005084141,0.24207827],"study_design_scores_gemma":[0.00010202496,0.000022760258,4.938417e-7,0.0010387999,0.000093042916,0.000009809998,0.000011687549,0.070666924,0.00058164407,0.8654786,0.061379302,0.0006149287],"about_ca_topic_score_codex":0.0000012555664,"about_ca_topic_score_gemma":0.000005284882,"teacher_disagreement_score":0.24146333,"about_ca_system_score_codex":0.00017479062,"about_ca_system_score_gemma":0.000010815703,"threshold_uncertainty_score":0.9998611},"labels":[],"label_agreement":null},{"id":"W4252790257","doi":"10.1007/bf02729105","title":"Three-half and half-axis patch-by-patch NC machining of sculptured surfaces","year":2006,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Mechanical engineering; Flexibility (engineering); Orientation (vector space); Machine tool; Surface (topology); Engineering drawing; Computer science; Engineering; Geometry; Mathematics","score_opus":0.003926771608061061,"score_gpt":0.22210074610214092,"score_spread":0.21817397449407985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252790257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8933318,0.0015372512,0.10259306,0.001910361,0.0001743919,0.00008146759,0.000007886376,0.0002194563,0.00014429657],"genre_scores_gemma":[0.9681293,0.00048993726,0.031218266,0.00003196897,0.000063507,0.0000054160864,0.0000040986934,0.000031571126,0.000025958256],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986086,0.000013684998,0.0006210967,0.00015989476,0.00037583115,0.00022090435],"domain_scores_gemma":[0.99905217,0.00013119605,0.00040045322,0.00022832619,0.00015318858,0.000034652887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018372221,0.00021451963,0.00038558035,0.00035233836,0.00005232227,0.000022189493,0.0008339267,0.00012465287,0.00001891822],"category_scores_gemma":[0.000048343867,0.00015922422,0.00011068829,0.00014711151,0.00019507518,0.00024234704,0.00016296825,0.0005014753,0.0000015117972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022967758,0.00016000652,0.0053872843,0.00006816829,0.00093648554,0.000090888374,0.00014936696,0.20337555,0.5753777,0.0036736727,0.0013858667,0.20916535],"study_design_scores_gemma":[0.00044821217,0.000091063586,0.0010971141,0.00010315125,0.000036610643,0.00012484539,0.00009594142,0.0027471767,0.91889256,0.07142497,0.004748934,0.0001894412],"about_ca_topic_score_codex":0.00022387772,"about_ca_topic_score_gemma":0.00015334178,"teacher_disagreement_score":0.34351486,"about_ca_system_score_codex":0.00010836872,"about_ca_system_score_gemma":0.000009644496,"threshold_uncertainty_score":0.64929754},"labels":[],"label_agreement":null},{"id":"W4253319396","doi":"10.1090/cbms/101/01","title":"Elliptic curves","year":2003,"lang":"en","type":"book-chapter","venue":"Regional conference series in mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Mathematics","score_opus":0.03547291937475871,"score_gpt":0.24790762417497306,"score_spread":0.21243470480021434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253319396","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000013863838,0.0051714596,0.039406855,0.0004104087,0.000091206,0.00039076398,0.000020767875,0.0005970813,0.9538976],"genre_scores_gemma":[0.0016942574,0.108031526,0.12565094,0.0006859713,0.00014181918,0.00013883597,0.00016584176,0.00043112112,0.7630597],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986114,0.000008674739,0.00054643425,0.0002425171,0.00034551934,0.0002454354],"domain_scores_gemma":[0.99915606,0.00009400178,0.00012912079,0.00045060125,0.00010030031,0.00006991974],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009676107,0.00043266974,0.00070654845,0.00016026081,0.000024997953,0.000022532664,0.00030805988,0.0002694457,0.00059325097],"category_scores_gemma":[0.000038562768,0.00042525458,0.00014555592,0.00007311164,0.00020782417,0.00013967502,0.000042323107,0.000507611,0.00010347075],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022721408,0.000019079203,0.0000010716474,0.0018577971,0.000083740386,0.000029365494,0.000088468325,0.00022247377,0.000057251105,0.9872737,0.009332616,0.0010321996],"study_design_scores_gemma":[0.0000476949,0.000028464066,9.0042727e-7,0.0027172095,0.00005694205,0.00004345585,0.000025528536,0.0012394612,0.00023162113,0.7686054,0.22642203,0.0005812635],"about_ca_topic_score_codex":5.3482114e-7,"about_ca_topic_score_gemma":0.000009813405,"teacher_disagreement_score":0.21866824,"about_ca_system_score_codex":0.000121703466,"about_ca_system_score_gemma":0.000031140542,"threshold_uncertainty_score":0.99981993},"labels":[],"label_agreement":null},{"id":"W4254787836","doi":"10.1090/amsip/027/09","title":"Newton polygons","year":2009,"lang":"en","type":"book-chapter","venue":"AMS/IP studies in advanced mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Mathematics","score_opus":0.03776475181327629,"score_gpt":0.31653245828668825,"score_spread":0.278767706473412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254787836","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010776018,0.03480465,0.05066116,0.00025708246,0.0005561685,0.0012045093,0.000049624206,0.0030370844,0.90932196],"genre_scores_gemma":[0.0021668714,0.08268507,0.41546658,0.00032968767,0.0003547768,0.00021261751,0.00004792819,0.0006251074,0.49811137],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99774504,0.0000068881795,0.0009528614,0.0004373898,0.0003635333,0.00049430574],"domain_scores_gemma":[0.99847615,0.00029896025,0.00023936073,0.0007959671,0.00010180273,0.00008777703],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011289368,0.00077508786,0.0015034238,0.00033199662,0.00006692174,0.0000121177045,0.00038975227,0.00029423673,0.000049421396],"category_scores_gemma":[0.0001509451,0.0007433197,0.0002649408,0.00016546801,0.00022620164,0.00014607614,0.00016755819,0.0007227156,0.00010355425],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030817904,0.00030105122,0.000005103959,0.0041706786,0.0022255888,0.0004976981,0.003750305,0.054899484,0.0010672283,0.45493433,0.018290875,0.45982683],"study_design_scores_gemma":[0.0003636575,0.00014182855,0.0000024223036,0.0024078053,0.00026201064,0.000023857972,0.00039726775,0.0036747179,0.0008037102,0.8138467,0.17650187,0.0015741455],"about_ca_topic_score_codex":6.94906e-7,"about_ca_topic_score_gemma":0.00002603925,"teacher_disagreement_score":0.4582527,"about_ca_system_score_codex":0.00049903657,"about_ca_system_score_gemma":0.000011269292,"threshold_uncertainty_score":0.99950176},"labels":[],"label_agreement":null},{"id":"W4255712075","doi":"10.1145/1179352.1141930","title":"Interactive decal compositing with discrete exponential maps","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Compositing; Computer science; Computer graphics (images); Exponential function; Artificial intelligence; Mathematics; Image (mathematics); Mathematical analysis","score_opus":0.0019883083047738223,"score_gpt":0.19885076253026893,"score_spread":0.19686245422549511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255712075","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.072223,0.000018215476,0.89759386,0.000040766066,0.000017358743,0.000055074615,0.0000023862874,0.00084492896,0.02920439],"genre_scores_gemma":[0.9277155,0.0000013663773,0.07202024,0.000016321852,0.00006116139,0.00001176436,0.000019766123,0.00002084021,0.00013303765],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994965,0.000008015142,0.00012816301,0.000115725175,0.00009650165,0.0001550467],"domain_scores_gemma":[0.99980605,0.000031131112,0.000018100012,0.00009632576,0.000018043194,0.000030369922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000016722808,0.00010766031,0.00012924834,0.00004640501,0.000030003066,0.000022050237,0.000067545094,0.000022827307,0.000058852293],"category_scores_gemma":[0.0000016784184,0.000080976744,0.000039647,0.00012600802,0.000026993917,0.00016600055,0.000021703941,0.00010441088,0.00001791323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033753473,0.00026668172,0.01252605,0.000106014464,0.00064287154,0.00026521052,0.0002465235,0.24642992,0.66398257,0.024496136,0.010894104,0.039806362],"study_design_scores_gemma":[0.0006298961,0.00019861688,0.0024304478,0.00008961375,0.00009276392,0.000041436535,0.000168436,0.17471708,0.8058248,0.0048694424,0.010016505,0.0009209569],"about_ca_topic_score_codex":0.000059936672,"about_ca_topic_score_gemma":0.00004773339,"teacher_disagreement_score":0.8554925,"about_ca_system_score_codex":0.000044188502,"about_ca_system_score_gemma":0.0000013203626,"threshold_uncertainty_score":0.33021358},"labels":[],"label_agreement":null},{"id":"W4283205064","doi":"10.1145/3544778","title":"ConTesse: Accurate Occluding Contours for Subdivision Surfaces","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Agence Nationale de la Recherche","keywords":"Subdivision; Visibility; Rendering (computer graphics); Subdivision surface; Computer science; Computation; Triangle mesh; Computer vision; Computer graphics (images); Surface (topology); Polygon mesh; Artificial intelligence; Algorithm; Mathematics; Geometry; Geography","score_opus":0.02851351786543519,"score_gpt":0.2836836838026272,"score_spread":0.255170165937192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283205064","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03954183,0.00025078372,0.9581528,0.00039327212,0.00022578918,0.00030510427,0.0001482643,0.0009031575,0.000079026846],"genre_scores_gemma":[0.9915528,0.00029919788,0.0075167464,0.00017199556,0.000012437764,0.0003076689,0.000021861259,0.000045870485,0.00007136379],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990636,0.00003314039,0.00023087402,0.00021595192,0.00021101568,0.00024543013],"domain_scores_gemma":[0.99907666,0.00039994225,0.000041882995,0.000365959,0.00005311771,0.00006245115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017344744,0.00016754189,0.000220007,0.00022852038,0.00047087108,0.00002417213,0.00032341314,0.000049055187,0.00008880251],"category_scores_gemma":[0.000031417087,0.00017818033,0.00019411862,0.00066994026,0.00004021785,0.0001591876,0.000007839243,0.0003605539,0.00000250778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021102813,0.00039348128,0.00032682432,0.00013944568,0.0006072678,0.000011713825,0.00047501049,0.88131195,0.029259143,0.00527012,0.003018337,0.07897569],"study_design_scores_gemma":[0.0023467625,0.0012739332,0.0009963716,0.000077735545,0.0004975913,0.000025145995,0.0015165855,0.7018533,0.10436185,0.0654195,0.11964589,0.0019853367],"about_ca_topic_score_codex":0.000012481966,"about_ca_topic_score_gemma":0.000022315015,"teacher_disagreement_score":0.95201105,"about_ca_system_score_codex":0.0000777552,"about_ca_system_score_gemma":0.00000803239,"threshold_uncertainty_score":0.7265983},"labels":[],"label_agreement":null},{"id":"W4283835777","doi":"","title":"Optimisation relaxée adaptative de maillages éléments finis","year":2022,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science","score_opus":0.013660637665698083,"score_gpt":0.2421437084545175,"score_spread":0.2284830707888194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283835777","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03740271,0.0027097207,0.86778414,0.011250807,0.00028630928,0.00069417537,0.0001958379,0.0010352687,0.07864105],"genre_scores_gemma":[0.34248075,0.0067073833,0.6175386,0.00012612979,0.000035344765,0.00043532046,0.00090799195,0.00015497576,0.031613525],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99007535,0.006577349,0.0009112513,0.0010421016,0.00068661844,0.0007073145],"domain_scores_gemma":[0.9936871,0.0021367138,0.0006503408,0.0021137584,0.0010861871,0.000325928],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004669171,0.0006223498,0.0006812767,0.0002807261,0.0006117506,0.0002465355,0.0014840832,0.00039327206,0.0024243097],"category_scores_gemma":[0.0017995709,0.0007755875,0.00044553986,0.0008625948,0.00031132493,0.000283326,0.0016958473,0.0014757673,0.00010908677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006154319,0.001841522,0.004269464,0.00069688493,0.0012632528,0.000054824402,0.041857906,0.18536681,0.030088792,0.37862107,0.006842557,0.34903538],"study_design_scores_gemma":[0.0010730288,0.0000035637277,0.011446491,0.0026322484,0.00051386765,0.00003258112,0.0015454291,0.3445323,0.28213894,0.05323959,0.30039135,0.0024505858],"about_ca_topic_score_codex":0.002282119,"about_ca_topic_score_gemma":0.00046351287,"teacher_disagreement_score":0.3465848,"about_ca_system_score_codex":0.0014777654,"about_ca_system_score_gemma":0.00021608817,"threshold_uncertainty_score":0.9994695},"labels":[],"label_agreement":null},{"id":"W4285806629","doi":"10.1016/j.apnum.2022.07.006","title":"High-degree splines from discrete Fourier transforms: Robust methods to obtain the boundary conditions","year":2022,"lang":"en","type":"article","venue":"Applied Numerical Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation; Université de Moncton","keywords":"Mathematics; Degree (music); Spline (mechanical); Computation; Robustness (evolution); Interpolation (computer graphics); Boundary (topology); Algorithm; Applied mathematics; Spline interpolation; Boundary value problem; Mathematical optimization; Mathematical analysis; Computer science","score_opus":0.02281544213939601,"score_gpt":0.2917004140751642,"score_spread":0.2688849719357682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285806629","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040573915,0.00009728743,0.99093163,0.0010324926,0.00011200084,0.0006071291,0.00018727369,0.00089048233,0.0020843397],"genre_scores_gemma":[0.19653809,0.000015552858,0.80123174,0.0006004617,0.00011249943,0.001205357,0.00009809662,0.00010765888,0.00009054755],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980921,0.00006869223,0.0006047442,0.0003358835,0.00046345423,0.00043510136],"domain_scores_gemma":[0.9982573,0.00075797597,0.000086334476,0.0006963963,0.000028282979,0.0001737486],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034029048,0.00034637467,0.00058461365,0.00010097299,0.00048482371,0.00006482058,0.0006514047,0.000065783875,0.00085123326],"category_scores_gemma":[0.00006289323,0.00025616543,0.00019360795,0.0009784205,0.00011546276,0.00007973995,0.0002074562,0.0005711415,0.0000734304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008176771,0.00061672844,0.000016910453,0.00018734222,0.001119899,0.000028852122,0.005148837,0.6625473,0.0320273,0.14341816,0.019734113,0.13507281],"study_design_scores_gemma":[0.00048136755,0.00014363692,0.00011999966,0.000024064904,0.00044477027,0.000016203814,0.0026005174,0.2109614,0.013234254,0.6751947,0.09554707,0.001232017],"about_ca_topic_score_codex":0.000030540312,"about_ca_topic_score_gemma":0.0000039091083,"teacher_disagreement_score":0.53177655,"about_ca_system_score_codex":0.00016869941,"about_ca_system_score_gemma":0.000016499424,"threshold_uncertainty_score":0.99998903},"labels":[],"label_agreement":null},{"id":"W4287549552","doi":"","title":"FREE GROUP PRESENTATION OF TRIANGULAR PLANAR SHAPES AND THEIR BETTI NUMBERS","year":2020,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Betti number; Planar; Group (periodic table); Presentation (obstetrics); Combinatorics; Mathematics; Computer science; Topology (electrical circuits); Computer graphics (images); Physics; Medicine","score_opus":0.012005075043203773,"score_gpt":0.22383970200261608,"score_spread":0.2118346269594123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4287549552","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06235024,0.002796526,0.9192933,0.0034836954,0.000068385896,0.00053736864,0.0002677604,0.00088356476,0.01031918],"genre_scores_gemma":[0.89749247,0.0012986241,0.10035354,0.00003823995,0.000022297587,0.000068422654,0.00046224712,0.00006498794,0.00019919653],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99765086,0.0009770643,0.0004858041,0.00045724772,0.00023372835,0.00019528276],"domain_scores_gemma":[0.99754435,0.00070181605,0.0002619002,0.0009938062,0.00036608404,0.000132027],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009220697,0.00029381108,0.0004856218,0.00014052114,0.00007640586,0.00008593744,0.0008051485,0.00020443319,0.000040585335],"category_scores_gemma":[0.0006261969,0.00029538345,0.00017686494,0.00031594472,0.00016127442,0.00012264872,0.00057884725,0.0004529571,0.0000028151433],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012697144,0.0011666714,0.0070919264,0.0047114915,0.002653612,0.000026687696,0.052008513,0.006508105,0.28518558,0.11510482,0.014690462,0.5107252],"study_design_scores_gemma":[0.0012639224,0.0000021492078,0.005874696,0.0022300018,0.00026616236,0.000008206527,0.00057775027,0.2633286,0.5841905,0.12477951,0.016102392,0.0013761312],"about_ca_topic_score_codex":0.0004341256,"about_ca_topic_score_gemma":0.0003682159,"teacher_disagreement_score":0.8351422,"about_ca_system_score_codex":0.00005712145,"about_ca_system_score_gemma":0.000023064022,"threshold_uncertainty_score":0.9999498},"labels":[],"label_agreement":null},{"id":"W4291312226","doi":"","title":"Fonctions de couplage et chaînage des courbes de Gray surfaciques en forme d'escaliers","year":2022,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Physics; Philosophy","score_opus":0.009993052981016886,"score_gpt":0.24657218706686276,"score_spread":0.23657913408584588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291312226","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10303025,0.0026485247,0.85309106,0.0066861794,0.0001556341,0.0005173548,0.00025177636,0.0014159828,0.03220327],"genre_scores_gemma":[0.5200448,0.012779049,0.45346487,0.00017237627,0.00003161033,0.00042449942,0.0007341307,0.0001785385,0.012170152],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9898305,0.0069002225,0.0008501995,0.0009035293,0.0005466359,0.000968923],"domain_scores_gemma":[0.9932996,0.002905334,0.00042905088,0.0019931684,0.00092299154,0.00044982778],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00826122,0.00067693554,0.00075335323,0.00034276547,0.00082916947,0.0003634281,0.0016533603,0.0004768925,0.0010860161],"category_scores_gemma":[0.0019131002,0.0008174948,0.0005656209,0.00090990483,0.0005855935,0.00040640275,0.0014739089,0.00186393,0.000041199713],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055905,0.0024520718,0.02942645,0.0015322134,0.001367409,0.0000912211,0.07379114,0.11240498,0.055886928,0.58215606,0.004187993,0.13664763],"study_design_scores_gemma":[0.0008750157,0.0000049887894,0.02114804,0.0029695055,0.0006265323,0.00010690658,0.0024748498,0.24500537,0.22219099,0.13888867,0.36310834,0.002600792],"about_ca_topic_score_codex":0.00609217,"about_ca_topic_score_gemma":0.0051216446,"teacher_disagreement_score":0.44326738,"about_ca_system_score_codex":0.0021711343,"about_ca_system_score_gemma":0.000359885,"threshold_uncertainty_score":0.99982715},"labels":[],"label_agreement":null},{"id":"W4292826283","doi":"10.1007/978-3-031-08655-7_17","title":"Bumps depending locally on finitely many Coordinates","year":2022,"lang":"pl","type":"book-chapter","venue":"Monografie matematyczne","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Finitely-generated abelian group; Pure mathematics; Algebra over a field; Calculus (dental); Epistemology; Philosophy","score_opus":0.019601060843206123,"score_gpt":0.240316000739964,"score_spread":0.2207149398967579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292826283","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025348102,0.0063258796,0.10978725,0.001868482,0.002555796,0.004188349,0.0009761124,0.00969226,0.86207104],"genre_scores_gemma":[0.83308464,0.010363174,0.024316495,0.001453178,0.0008715933,0.0012243949,0.0012994014,0.002487279,0.12489984],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99360704,0.00011618189,0.0019992976,0.0015952666,0.001299007,0.001383203],"domain_scores_gemma":[0.99625367,0.00060461997,0.0007655748,0.0017568303,0.00014968056,0.00046959906],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0005741985,0.0019534081,0.002479986,0.0014660738,0.0006276146,0.0002651476,0.0014354127,0.0008412341,0.013550871],"category_scores_gemma":[0.00010405731,0.0020711573,0.0011361853,0.00054475747,0.00023140786,0.00037129244,0.0008488216,0.0026307271,0.0027085037],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074469426,0.0007624311,0.0003122729,0.0062710787,0.005235435,0.004327176,0.00053311954,0.10459024,0.003601313,0.7891836,0.016743388,0.067695245],"study_design_scores_gemma":[0.0011298179,0.0014958553,0.00011719036,0.0029781668,0.0013483501,0.0001517935,0.0001495569,0.024693558,0.009931672,0.03733206,0.9151038,0.0055681807],"about_ca_topic_score_codex":0.00010037091,"about_ca_topic_score_gemma":0.000012966149,"teacher_disagreement_score":0.89836043,"about_ca_system_score_codex":0.0009108737,"about_ca_system_score_gemma":0.00003646232,"threshold_uncertainty_score":0.99967027},"labels":[],"label_agreement":null},{"id":"W4293032542","doi":"10.1016/j.cagd.2022.102139","title":"Quasi-interpolating bivariate dual <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si1.svg\"><mml:msqrt><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msqrt></mml:math>-subdivision using 1D stencils","year":2022,"lang":"lv","type":"article","venue":"Computer Aided Geometric Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Zhejiang Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Subdivision; Subdivision surface; Mathematics; Bivariate analysis; Smoothness; Vertex (graph theory); Polygon mesh; Combinatorics; Algorithm; Geometry; Mathematical analysis; Graph","score_opus":0.0294920324303764,"score_gpt":0.25370088964934145,"score_spread":0.22420885721896505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293032542","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30802,0.0013723926,0.68207175,0.00010217919,0.0018167729,0.00011628814,0.00013035994,0.00075204397,0.005618205],"genre_scores_gemma":[0.8715903,0.00032866263,0.12508522,0.00057724817,0.0011610822,0.00034068045,0.00027788695,0.0005204746,0.000118453114],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9911092,0.00061972614,0.002069698,0.0017761098,0.0023326252,0.0020926227],"domain_scores_gemma":[0.9932093,0.0024657135,0.0015155762,0.0018800538,0.00020746708,0.000721866],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0026420057,0.0009975126,0.0006973813,0.0018568868,0.0014269424,0.00096848485,0.0018448086,0.0009067638,0.009188701],"category_scores_gemma":[0.0011353034,0.0015657286,0.0013472899,0.005235152,0.0003814538,0.0012881743,0.002988849,0.0019287523,0.0007888421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008022977,0.0010964973,0.00002837776,0.0014517546,0.003287626,0.0028585114,0.002864471,0.26714304,0.009010379,0.6075626,0.031584527,0.07230991],"study_design_scores_gemma":[0.0008801195,0.0018554375,0.00005410174,0.00057060376,0.00076698133,0.0005628393,0.0003636004,0.8942294,0.097184286,0.0002129562,0.0020254408,0.0012942181],"about_ca_topic_score_codex":0.0006804599,"about_ca_topic_score_gemma":0.000018877508,"teacher_disagreement_score":0.62708634,"about_ca_system_score_codex":0.00014700595,"about_ca_system_score_gemma":0.00049602636,"threshold_uncertainty_score":0.99998915},"labels":[],"label_agreement":null},{"id":"W4294578972","doi":"10.18280/rcma.320401","title":"A Multi-Scale Homogenization Procedure for the Estimation of Young’s Modulus of Porous Materials by a Multi-Void Shape Model","year":2022,"lang":"en","type":"article","venue":"Revue des composites et des matériaux avancés","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Porosity; Homogenization (climate); Void (composites); Materials science; Modulus; Porous medium; Microstructure; Composite material","score_opus":0.03350286571742703,"score_gpt":0.2769448360586875,"score_spread":0.2434419703412605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294578972","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11952956,0.0008354259,0.8780388,0.000024834566,0.000060138762,0.00078971224,0.00047358175,0.00023539831,0.000012543967],"genre_scores_gemma":[0.5555105,0.00012896488,0.4436821,0.000012097791,0.000008142785,0.00036470994,0.00015989723,0.000049719103,0.00008383797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99874306,0.000057860085,0.0005566869,0.0002374447,0.00017700222,0.00022792324],"domain_scores_gemma":[0.99915844,0.00009438857,0.00023667607,0.0003075083,0.00016087886,0.00004212582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023444874,0.00022151343,0.00043836597,0.00010738918,0.00017752894,0.000025218656,0.0003176458,0.000057970534,0.000028960534],"category_scores_gemma":[0.000082329905,0.00018789049,0.00011873853,0.0003322365,0.0001064217,0.00019390619,0.00010827042,0.00011280488,0.0000015655216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034259814,0.00011260982,0.00008702938,0.0005052019,0.000054876593,3.8783816e-7,0.00051413797,0.63947743,0.3565097,0.000036907302,0.00008685861,0.0025806106],"study_design_scores_gemma":[0.0003381323,0.00008481257,0.00016376,0.000058251535,0.00010246443,0.000018250736,0.00006283657,0.8655341,0.13286988,0.00055399205,0.000036971374,0.00017653038],"about_ca_topic_score_codex":0.0000366377,"about_ca_topic_score_gemma":0.000018423112,"teacher_disagreement_score":0.43598095,"about_ca_system_score_codex":0.00013697553,"about_ca_system_score_gemma":0.000015880934,"threshold_uncertainty_score":0.7661952},"labels":[],"label_agreement":null},{"id":"W4295138259","doi":"10.48550/arxiv.1711.07866","title":"Conquering the pre-computation in two-dimensional harmonic polynomial\\n transforms","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Connection (principal bundle); Mathematics; Computation; Rectangle; Skeletonization; Mathematical analysis; Topology (electrical circuits); Geometry; Algorithm; Combinatorics; Computer science","score_opus":0.038931729031128584,"score_gpt":0.21781504032808477,"score_spread":0.17888331129695617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295138259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.76696,0.00016014374,0.23034166,0.000052591986,0.00019459063,0.0003590476,0.0000135904775,0.00044498048,0.0014733936],"genre_scores_gemma":[0.9987676,0.00015596181,0.00071723916,0.000020453734,0.000054686734,0.0000038513085,0.000029843888,0.000037656355,0.00021266611],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989039,0.000042662497,0.00022832316,0.00046238423,0.00007420475,0.00028853916],"domain_scores_gemma":[0.99916774,0.00007943914,0.00011486087,0.00052345195,0.00004208374,0.00007241522],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015115493,0.0002928334,0.00035340094,0.00019168614,0.000126287,0.0000492276,0.00060407066,0.00015323298,0.000022736198],"category_scores_gemma":[0.000013326673,0.00026915933,0.00018707181,0.00018645184,0.0001241109,0.00021846793,0.00023492935,0.00078012026,0.000018682935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022887294,0.000015991718,0.0004396519,0.000037192935,0.00007188031,0.00004860509,0.00008155261,0.996231,0.00040431545,0.00025699922,0.000072839524,0.0023170558],"study_design_scores_gemma":[0.00038685315,0.000013039205,0.002371841,0.00010404635,0.000077443685,0.0000023653797,0.000017065646,0.9827016,0.0016041937,0.012105713,0.00023046412,0.0003854005],"about_ca_topic_score_codex":0.0003814269,"about_ca_topic_score_gemma":0.00024664256,"teacher_disagreement_score":0.23180763,"about_ca_system_score_codex":0.00033302789,"about_ca_system_score_gemma":0.00004027244,"threshold_uncertainty_score":0.99997604},"labels":[],"label_agreement":null},{"id":"W4296151249","doi":"10.1007/s00170-022-10004-w","title":"Tool positioning in five-axis machining on a tensor product surface using circular rays","year":2022,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Toroid; Tensor product; Surface (topology); Machining; Tensor (intrinsic definition); Transcendental equation; Product (mathematics); Quadratic equation; Mathematics; Geometry; Mathematical analysis; Computer science; Engineering; Mechanical engineering; Physics; Numerical analysis; Pure mathematics","score_opus":0.007924935895694958,"score_gpt":0.24847355159854984,"score_spread":0.24054861570285488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296151249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849245,0.0003528344,0.012577095,0.0013432878,0.00035481175,0.0001293663,0.0000067330025,0.00020957337,0.000101828016],"genre_scores_gemma":[0.9737343,0.00007211867,0.025934879,0.00012277502,0.00006296506,0.0000116395395,0.0000022483016,0.000035895697,0.00002317893],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985037,0.00004766636,0.00052397116,0.00019168704,0.00048418317,0.0002487925],"domain_scores_gemma":[0.99925363,0.00010654718,0.0002745732,0.0002561681,0.00008552248,0.000023586857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034900525,0.00018095458,0.0002883985,0.0006444781,0.00013819289,0.000023514966,0.0009795906,0.000042111584,0.00004556222],"category_scores_gemma":[0.00011480095,0.00015572169,0.000112510104,0.00030476775,0.00006180013,0.00015959976,0.00024697586,0.0010431278,0.0000021773076],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007376956,0.0000356476,0.00017542372,0.0000046479227,0.00009922997,0.0001455871,0.00007464014,0.8781817,0.10563816,0.00022492488,0.000018948514,0.015327341],"study_design_scores_gemma":[0.0010394867,0.00027647646,0.0009812968,0.00017040192,0.000045605215,0.0015024351,0.0007321136,0.03797863,0.9286681,0.024878098,0.003268174,0.00045921156],"about_ca_topic_score_codex":0.00001233659,"about_ca_topic_score_gemma":0.0000020486982,"teacher_disagreement_score":0.84020305,"about_ca_system_score_codex":0.00076453044,"about_ca_system_score_gemma":0.000021351078,"threshold_uncertainty_score":0.6350146},"labels":[],"label_agreement":null},{"id":"W4298576487","doi":"","title":"CIGA+ : un algorithme de calcul d’un ensemble concis de motifs fermés fréquents","year":2006,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Outaouais","funders":"","keywords":"Computer science","score_opus":0.08902308170919396,"score_gpt":0.48543457196725887,"score_spread":0.3964114902580649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298576487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7245973,0.011386126,0.25692475,0.0000872044,0.00019462498,0.00039877713,0.000059253252,0.00056714617,0.0057848366],"genre_scores_gemma":[0.9764397,0.004856223,0.017803624,0.00021531516,0.0002254902,0.00006860949,0.000020179197,0.00013561641,0.00023523856],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99699694,0.00017803858,0.0009823758,0.000433861,0.0006223415,0.0007864225],"domain_scores_gemma":[0.9982437,0.00022597009,0.00038403017,0.0005579747,0.00021886532,0.00036944327],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00073158764,0.00047127448,0.00095295697,0.0005839345,0.0002138751,0.00053830276,0.0021340093,0.00021318157,0.0025512294],"category_scores_gemma":[0.00014954798,0.00046958256,0.00032511816,0.00122015,0.00011460105,0.0014090003,0.00046541443,0.0006207088,0.000020876181],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006403679,0.00043243097,0.17824084,0.000136268,0.00059816404,0.0003176839,0.00014214186,0.03386707,0.6386895,0.0001860991,0.031315364,0.11601038],"study_design_scores_gemma":[0.0005656476,0.000011599825,0.2260945,0.00023189663,0.00021698748,0.00006198913,0.00003293789,0.016887158,0.7070903,0.038083985,0.009793259,0.0009297143],"about_ca_topic_score_codex":0.0014594917,"about_ca_topic_score_gemma":0.000037077454,"teacher_disagreement_score":0.2518424,"about_ca_system_score_codex":0.000480465,"about_ca_system_score_gemma":0.00006157846,"threshold_uncertainty_score":0.9997756},"labels":[],"label_agreement":null},{"id":"W4298858945","doi":"10.17615/tb72-kv48","title":"Efficient algorithms for line and curve segment intersection using restricted predicates","year":2021,"lang":"en","type":"article","venue":"UNC Libraries","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Intersection (aeronautics); Line (geometry); Line segment; Algorithm; Computer science; Mathematics; Artificial intelligence; Geometry; Geography; Cartography","score_opus":0.021661778267502263,"score_gpt":0.25337513940155104,"score_spread":0.23171336113404878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298858945","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.070013836,0.0011236035,0.9279172,0.000096485695,0.00010319054,0.00012093383,0.000016968936,0.00052914943,0.00007864018],"genre_scores_gemma":[0.42021075,0.00003949046,0.5793,0.000052081698,0.00014436373,0.0000409145,0.00007130564,0.000038198858,0.000102910206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994528,0.000012361299,0.00016307115,0.00015892777,0.00007719112,0.00013564799],"domain_scores_gemma":[0.999699,0.000080907645,0.00002553402,0.000107411775,0.000040286723,0.000046891026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002633922,0.00010234765,0.00014469333,0.00006834587,0.00005895939,0.000057774,0.000042718613,0.000048990823,0.000012442018],"category_scores_gemma":[0.00007231187,0.000095361414,0.000039627925,0.00028009398,0.0000452384,0.00011520125,0.00005418048,0.00007259069,5.3344144e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013173842,0.00034467364,0.0019632343,0.00075420836,0.0007752896,0.000047599882,0.0019679314,0.6738991,0.17766486,0.02004183,0.0027629817,0.119646534],"study_design_scores_gemma":[0.00014115822,0.000040955965,0.00013090459,0.00003469451,0.000034658595,0.000004892782,0.00011836978,0.72147727,0.26829523,0.008334454,0.0012664346,0.00012100124],"about_ca_topic_score_codex":0.0000059781723,"about_ca_topic_score_gemma":0.0000015385202,"teacher_disagreement_score":0.3501969,"about_ca_system_score_codex":0.00003899883,"about_ca_system_score_gemma":0.000014450627,"threshold_uncertainty_score":0.38887256},"labels":[],"label_agreement":null},{"id":"W4300430396","doi":"10.48550/arxiv.1107.0385","title":"An algorithm for autonomously plotting solution sets in the presence of\\n turning points","year":2011,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Mitacs","keywords":"Bivariate analysis; Algorithm; Space (punctuation); Computer science; Mathematics; Machine learning","score_opus":0.05183505475117412,"score_gpt":0.21227210086325113,"score_spread":0.16043704611207701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300430396","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15836525,0.000042536776,0.8405389,0.0000061829437,0.000063828906,0.00033991694,0.000017761055,0.00028876815,0.00033680562],"genre_scores_gemma":[0.95428187,0.000066925924,0.045527842,0.000010604156,0.000028771728,0.0000062767485,0.000028066956,0.000029597419,0.000020039914],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99891937,0.00008986973,0.00023752614,0.0004258138,0.00005729014,0.0002701495],"domain_scores_gemma":[0.9990331,0.00014247355,0.00015886307,0.0005415687,0.00007369447,0.000050303923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032322152,0.0002211779,0.00031171087,0.00021491876,0.00005733192,0.00001561037,0.0007308073,0.00019505995,0.000007235813],"category_scores_gemma":[0.00004108221,0.00022013989,0.00015195282,0.0003361983,0.00007135492,0.00024262826,0.00017845843,0.00045480195,0.0000025082386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023901435,0.00014392132,0.0013203876,0.00023812588,0.00013335106,0.000049401802,0.0016771527,0.961951,0.0012007158,0.0039194804,0.0000604657,0.029282087],"study_design_scores_gemma":[0.00012906504,0.0000429705,0.0005545651,0.000092597504,0.000067277295,0.0000011238322,0.00016292355,0.9692628,0.0017900016,0.027602484,0.000052653064,0.00024155971],"about_ca_topic_score_codex":0.00017225067,"about_ca_topic_score_gemma":0.000045427107,"teacher_disagreement_score":0.7959166,"about_ca_system_score_codex":0.00014778397,"about_ca_system_score_gemma":0.000024397088,"threshold_uncertainty_score":0.8977044},"labels":[],"label_agreement":null},{"id":"W4300466915","doi":"","title":"Evaluation Of The Gain Brought By An Adaptive Remeshing Technique Insuring High Quality Meshes","year":2008,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Diagnosis and Research on Alzheimer's Disease","funders":"","keywords":"Polygon mesh; Computer science; Quality (philosophy); Computer graphics (images)","score_opus":0.03079290224920461,"score_gpt":0.27371248658300595,"score_spread":0.24291958433380134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300466915","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25787923,0.001276669,0.7299107,0.00055691414,0.000097507174,0.001017261,0.00017443157,0.0008076497,0.008279681],"genre_scores_gemma":[0.9115495,0.0007668607,0.08689893,0.000019023242,0.000014113531,0.0002284736,0.00027931572,0.00006573497,0.00017801438],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.98851275,0.008614823,0.00082526496,0.00060996215,0.001151814,0.00028535308],"domain_scores_gemma":[0.9935772,0.00066641666,0.0006079685,0.002414443,0.0026321055,0.00010185499],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009179885,0.00037511397,0.0005291999,0.00014605302,0.00022415296,0.0000759664,0.0014268414,0.00034440655,0.000028886769],"category_scores_gemma":[0.0017789121,0.00034878665,0.0002542123,0.00056839123,0.00025691206,0.0002490869,0.0008452485,0.0009218935,0.0000016723355],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031585278,0.0022242714,0.0021807256,0.00075712014,0.0010124728,0.0000029147914,0.01570269,0.12629904,0.31809682,0.019836428,0.0028367946,0.5110191],"study_design_scores_gemma":[0.00021405633,6.2972595e-7,0.003006783,0.001233704,0.0001446498,0.000002985107,0.00008994681,0.12690063,0.85067004,0.016551625,0.00066481176,0.0005201453],"about_ca_topic_score_codex":0.0017819004,"about_ca_topic_score_gemma":0.0008571286,"teacher_disagreement_score":0.6536703,"about_ca_system_score_codex":0.0004774439,"about_ca_system_score_gemma":0.0001520474,"threshold_uncertainty_score":0.9998964},"labels":[],"label_agreement":null},{"id":"W4300843872","doi":"10.1007/978-3-031-79429-2_2","title":"Polygonal Modeling of Contours","year":2011,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on biomedical engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Polygon (computer graphics); Polygonal chain; Vertex (graph theory); Contour line; Computer science; Mathematics; Artificial intelligence; Geometry; Combinatorics; Regular polygon; Cartography; Geography; Graph","score_opus":0.011623595631792348,"score_gpt":0.19701940231141782,"score_spread":0.18539580667962546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300843872","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00013976275,0.0039000325,0.79502785,0.00007309645,0.00053301576,0.0003600387,0.00015968642,0.0024659107,0.19734061],"genre_scores_gemma":[0.97686267,0.0014011397,0.0160354,0.000084895575,0.00068812293,0.000087937544,0.00005991529,0.00064598216,0.0041339337],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979022,0.000007257928,0.0006768091,0.00040133367,0.00058101426,0.0004313735],"domain_scores_gemma":[0.9988347,0.00028354896,0.00009718099,0.0004757319,0.000049451846,0.00025934476],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012605746,0.0006511167,0.0010035904,0.000677999,0.000026760923,0.000010287977,0.00044550066,0.0006913306,0.00065968855],"category_scores_gemma":[0.00018934302,0.00059197727,0.00043145698,0.00010664381,0.000116002586,0.00004596122,0.00005722934,0.00078986445,0.000036765032],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012782672,0.0001459978,0.0000010121096,0.0016631515,0.0032207302,0.00015142965,0.00017343635,0.6481895,0.024049263,0.07143271,0.002840268,0.2480047],"study_design_scores_gemma":[0.0002472733,0.00024088354,0.0000033572899,0.0026715796,0.0005441974,0.000025375914,0.0000036636677,0.84696513,0.034774568,0.017871613,0.09436507,0.0022873098],"about_ca_topic_score_codex":0.000008722609,"about_ca_topic_score_gemma":0.0000012031434,"teacher_disagreement_score":0.9767229,"about_ca_system_score_codex":0.00015190404,"about_ca_system_score_gemma":0.000023805118,"threshold_uncertainty_score":0.99965316},"labels":[],"label_agreement":null},{"id":"W4301953555","doi":"10.4171/owr/2006/12","title":"Discrete Differential Geometry","year":2006,"lang":"en","type":"article","venue":"Oberwolfach Reports","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geometry; Differential geometry; Differential (mechanical device); Discrete geometry; Mathematics; Physics; Thermodynamics","score_opus":0.0033982956835856,"score_gpt":0.20392676941560262,"score_spread":0.20052847373201702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301953555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60699546,0.00037918473,0.34332928,0.000035151657,0.0003071951,0.00014548989,0.0000047563094,0.002111909,0.046691597],"genre_scores_gemma":[0.9928652,0.0000100032275,0.004509679,0.000010328475,0.00017007513,0.000025749368,0.00005032659,0.000042681964,0.0023159275],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998816,0.000008842185,0.0004150793,0.00024197633,0.00023337163,0.00028472106],"domain_scores_gemma":[0.99943066,0.000015987987,0.00007055438,0.00039193605,0.000024310862,0.00006655236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005360622,0.00018060501,0.00024104501,0.00010930543,0.0000479056,0.000031376534,0.000076631855,0.00007704564,0.000385974],"category_scores_gemma":[0.000016906542,0.00016199608,0.00013388776,0.00029987647,0.000035477136,0.00012673957,0.000038047496,0.00015202397,0.000034609595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026767493,0.00056669104,0.18410648,0.00039279897,0.0006479694,0.0055628545,0.00008929416,0.094820656,0.4342888,0.0051934803,0.139787,0.1345172],"study_design_scores_gemma":[0.000445363,0.00011086503,0.1756855,0.00009137782,0.00032276614,0.0009752616,0.00002496803,0.028448781,0.39594215,0.061353046,0.33383477,0.0027651512],"about_ca_topic_score_codex":0.00007539114,"about_ca_topic_score_gemma":0.000012974465,"teacher_disagreement_score":0.3858698,"about_ca_system_score_codex":0.000061868726,"about_ca_system_score_gemma":0.0000036989384,"threshold_uncertainty_score":0.66060084},"labels":[],"label_agreement":null},{"id":"W4303449557","doi":"10.1142/s0218202522500555","title":"Isogeometric variational multiscale modeling of stably stratified flow over complex terrains","year":2022,"lang":"en","type":"article","venue":"Mathematical Models and Methods in Applied Sciences","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Terrain; Isogeometric analysis; Stratified flows; Flow (mathematics); Boundary (topology); Computer science; Multiphysics; Microscale chemistry; Dirichlet boundary condition; Geology; Stratified flow; Mathematics; Applied mathematics; Mechanics; Mathematical optimization; Geometry; Finite element method; Mathematical analysis; Physics; Engineering; Structural engineering; Cartography; Geography","score_opus":0.08296486957405674,"score_gpt":0.3675959308772036,"score_spread":0.28463106130314686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4303449557","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00726298,0.000061981795,0.9814157,0.000020374091,0.000014247002,0.00017133358,0.000012623909,0.000073113435,0.010967637],"genre_scores_gemma":[0.472056,0.0000057561165,0.52785414,0.00001358903,0.0000037921968,0.000055319728,0.0000013289477,0.0000056572617,0.0000043983446],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998681,0.000068386646,0.0004264176,0.00024179694,0.00037010014,0.00021231637],"domain_scores_gemma":[0.9993701,0.00039432384,0.00004761474,0.00012281914,0.000012032596,0.000053125397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001337593,0.00012210835,0.0003421622,0.00029211407,0.00012923093,0.000022126505,0.00021926111,0.00003227284,0.00018603515],"category_scores_gemma":[0.000047210502,0.000105318184,0.000042644755,0.00106491,0.00013992484,0.00009366604,0.00013659975,0.00016637253,2.7080858e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027791239,0.000052320796,0.000003213298,0.000035260913,0.0000069831462,1.9076487e-7,0.00028564088,0.8841878,0.009457317,0.09333731,0.0000041017097,0.012627065],"study_design_scores_gemma":[0.00007478706,0.000015219846,0.0000059558442,0.000003493229,0.000005386998,7.454177e-7,0.00016622011,0.63369834,0.0003473823,0.3655935,0.000008775389,0.00008016881],"about_ca_topic_score_codex":0.0000063810166,"about_ca_topic_score_gemma":0.0000012172796,"teacher_disagreement_score":0.46479303,"about_ca_system_score_codex":0.000040133746,"about_ca_system_score_gemma":0.00001276306,"threshold_uncertainty_score":0.4294751},"labels":[],"label_agreement":null},{"id":"W4303449575","doi":"10.1142/s0218202522500592","title":"Fluid–structure interaction modeling with nonmatching interface discretizations for compressible flow problems: Computational framework and validation study","year":2022,"lang":"en","type":"article","venue":"Mathematical Models and Methods in Applied Sciences","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Fluid–structure interaction; Isogeometric analysis; Compressible flow; Finite element method; Compressibility; Benchmark (surveying); Applied mathematics; Flow (mathematics); Computer science; Work (physics); Block (permutation group theory); Incompressible flow; Interface (matter); Mathematical optimization; Mathematics; Mechanics; Physics; Geometry; Geology","score_opus":0.04623730060749085,"score_gpt":0.38158456964651494,"score_spread":0.33534726903902407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4303449575","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057886828,0.000043112508,0.9411854,0.00003387315,0.00001433147,0.00055238936,0.0000053530403,0.000083848834,0.00019484737],"genre_scores_gemma":[0.49821764,0.0000018763118,0.5015922,0.0000062327963,0.0000033623887,0.0001692476,0.0000020611806,0.000006718074,6.647942e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991073,0.00006157885,0.00025668577,0.00025478587,0.00018717496,0.00013249966],"domain_scores_gemma":[0.99940294,0.00043357926,0.00003992259,0.00007264269,0.000016344904,0.00003459846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058839703,0.00011655868,0.0002196736,0.00011434134,0.00028720102,0.00008341125,0.00010439213,0.000024607018,0.000010524702],"category_scores_gemma":[0.000025659192,0.0000902157,0.000013547804,0.0003279762,0.00006926796,0.0001747586,0.00009202733,0.00018426501,4.2064656e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000739092,0.00003947672,0.000009844454,0.000054216594,0.000009746732,5.8262728e-8,0.0020148042,0.9631797,0.0008699115,0.029446509,5.0789725e-7,0.0043678232],"study_design_scores_gemma":[0.00006614459,0.00003711927,6.9133125e-7,0.000021910717,0.000010169903,0.0000017641187,0.0012419123,0.56213254,0.00021118158,0.43620783,0.0000012700943,0.00006745578],"about_ca_topic_score_codex":0.0000018872184,"about_ca_topic_score_gemma":0.0000013392771,"teacher_disagreement_score":0.4403308,"about_ca_system_score_codex":0.000031703235,"about_ca_system_score_gemma":0.0000063986326,"threshold_uncertainty_score":0.36788893},"labels":[],"label_agreement":null},{"id":"W4310576339","doi":"10.4230/lipics.fscd.2022.13","title":"Addition and Differentiation of ZX-Diagrams","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Future Earth","funders":"Agence Nationale de la Recherche","keywords":"Computer science; Business; Programming language","score_opus":0.008489721316461387,"score_gpt":0.21475672175419924,"score_spread":0.20626700043773785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310576339","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25181612,0.0017016564,0.7290066,0.0008346507,0.00013851681,0.00042416833,0.00019968199,0.0008870624,0.014991526],"genre_scores_gemma":[0.96071315,0.001626261,0.035765678,0.000012290735,0.000010685295,0.0001286569,0.0011342601,0.00004393893,0.00056508253],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977575,0.0010237806,0.00040847118,0.00036101387,0.00028177173,0.00016744423],"domain_scores_gemma":[0.99789,0.00047022407,0.00025558792,0.00089216017,0.00041397128,0.00007807561],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00094703084,0.00021986413,0.00033738994,0.00017672263,0.00011257384,0.00006586513,0.00042069226,0.00014535095,0.00036800056],"category_scores_gemma":[0.00030143585,0.00024933528,0.00013577497,0.00028428953,0.00010349646,0.000091285154,0.0006786159,0.0004764117,0.0000027416104],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029219505,0.0013391225,0.009135518,0.0022383023,0.0008264167,0.000007694153,0.011289401,0.013338298,0.0519977,0.086550124,0.0045019537,0.81874627],"study_design_scores_gemma":[0.000889467,0.0000021199173,0.033998545,0.0023057018,0.00039587833,0.000009160183,0.0002824173,0.39525437,0.45953575,0.075334586,0.030148748,0.0018432626],"about_ca_topic_score_codex":0.00017141456,"about_ca_topic_score_gemma":0.00018085526,"teacher_disagreement_score":0.816903,"about_ca_system_score_codex":0.000105987514,"about_ca_system_score_gemma":0.000021446776,"threshold_uncertainty_score":0.9999959},"labels":[],"label_agreement":null},{"id":"W4311805293","doi":"10.1145/3550454.3555466","title":"BoolSurf","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ministero dell’Istruzione, dell’Università e della Ricerca; Dipartimenti di Eccellenza","keywords":"Surface (topology); Computer science; Geodesic; Manifold (fluid mechanics); Polygon mesh; Triangle mesh; Boundary (topology); Minimum bounding box; Bounded function; Mathematics; Topology (electrical circuits); Combinatorics; Geometry; Computer graphics (images); Image (mathematics); Artificial intelligence; Mathematical analysis","score_opus":0.012233672939630628,"score_gpt":0.23173653539850206,"score_spread":0.21950286245887143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311805293","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007801713,0.00012056717,0.98891693,0.0003970849,0.00016022637,0.00009670552,0.000037542246,0.0014545413,0.0010146587],"genre_scores_gemma":[0.99118483,0.00018670027,0.007996128,0.00032293922,0.000009047604,0.000147565,0.000006164814,0.00003132356,0.00011530945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993933,0.00002080978,0.00012493404,0.00012528466,0.00019001222,0.00014567695],"domain_scores_gemma":[0.99946046,0.000060833478,0.000011725308,0.00040976598,0.000012195327,0.000045019344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005776744,0.00009755994,0.00010540651,0.00019851598,0.00023542071,0.0000075991443,0.0002529698,0.000026597203,0.00040369914],"category_scores_gemma":[0.0000048730394,0.000108680106,0.00012162998,0.00078602234,0.00002589863,0.000064129825,0.0000049370337,0.0004254345,0.000013250747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003043008,0.0003502693,0.00013479328,0.000030428942,0.00030149837,0.000023268352,0.00021739128,0.8337337,0.0046501416,0.003165755,0.0033671195,0.15399525],"study_design_scores_gemma":[0.00085599045,0.00076749973,0.0009130805,0.000018965391,0.00029352732,0.000065094966,0.00047908683,0.09136986,0.044893462,0.1608577,0.6977719,0.0017137995],"about_ca_topic_score_codex":0.000006161312,"about_ca_topic_score_gemma":0.000007157187,"teacher_disagreement_score":0.9833831,"about_ca_system_score_codex":0.000053720196,"about_ca_system_score_gemma":0.0000039831266,"threshold_uncertainty_score":0.4431846},"labels":[],"label_agreement":null},{"id":"W4312080145","doi":"10.1145/3577194","title":"FastSpline: Automatic Generation of Interpolants for Lattice Samplings","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Mathematical Software","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Implementation; Lattice (music); Interpolation (computer graphics); Voronoi diagram; Theoretical computer science; Algorithm; Computational science; Mathematics; Computer graphics (images); Programming language; Geometry; Animation","score_opus":0.035515128022665834,"score_gpt":0.286194457159078,"score_spread":0.25067932913641217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312080145","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018509474,0.000023533936,0.9803024,0.00007688979,0.00005476173,0.0002901647,0.00009837848,0.00063327106,0.000011150477],"genre_scores_gemma":[0.2931294,0.0000054661514,0.7062824,0.00004924495,0.000014687377,0.00040619608,0.00001993961,0.00003609995,0.000056593108],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990902,0.000019375399,0.0003666477,0.00015130607,0.00020876473,0.00016373393],"domain_scores_gemma":[0.9990463,0.00046549144,0.000049826634,0.00034845143,0.000039634146,0.00005029576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012168929,0.00013445708,0.00026440356,0.000111723086,0.00013848426,0.000009704601,0.00024581503,0.000040437117,0.0005666428],"category_scores_gemma":[0.00015471109,0.00013115817,0.0001526041,0.00025766925,0.000027664146,0.00007672032,0.000010666222,0.00018501178,0.0000116341225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003908316,0.0007875066,0.000019055511,0.0012345433,0.0003605342,0.0000022695813,0.0008560159,0.23262887,0.012458861,0.0009289973,0.00021925918,0.75046504],"study_design_scores_gemma":[0.0004988022,0.00041051014,0.000024728939,0.00009035601,0.0002559925,0.000018607518,0.00021213408,0.6735363,0.033858936,0.28948787,0.0011431404,0.00046263184],"about_ca_topic_score_codex":0.0000013078959,"about_ca_topic_score_gemma":0.0000010497436,"teacher_disagreement_score":0.7500024,"about_ca_system_score_codex":0.00009170816,"about_ca_system_score_gemma":0.0000071412787,"threshold_uncertainty_score":0.62043417},"labels":[],"label_agreement":null},{"id":"W4312885372","doi":"10.5486/pmd.2006.2748","title":"Finite sets of binary forms","year":2006,"lang":"en","type":"article","venue":"Publicationes Mathematicae Debrecen","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Mathematics; Binary number; Pure mathematics; Arithmetic","score_opus":0.008409242038546922,"score_gpt":0.23305992777171536,"score_spread":0.22465068573316843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312885372","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1029644,0.00061281293,0.8031925,0.0015493624,0.000055793902,0.0006687129,0.000045268396,0.002969381,0.08794177],"genre_scores_gemma":[0.9448251,0.00003433218,0.05465052,0.000025894431,0.000019464253,0.00012722802,0.00007498989,0.000034565954,0.00020786922],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99909973,0.00000922192,0.00041463433,0.00012615179,0.00017326798,0.00017699804],"domain_scores_gemma":[0.999249,0.00013432329,0.00009307827,0.0003778193,0.00010379686,0.000041973803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010671309,0.00012847994,0.00023787015,0.00016294252,0.000029626195,0.00001959336,0.00022719784,0.00005565629,0.00015070343],"category_scores_gemma":[0.000079735204,0.00010858104,0.000075916345,0.00057740655,0.00004413714,0.00028410007,0.00003346133,0.0000648794,0.0000845975],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027373377,0.0020098013,0.005592336,0.0028972216,0.00055203727,0.0000055774403,0.0008319183,0.042489085,0.109325156,0.6538154,0.07322027,0.10923383],"study_design_scores_gemma":[0.00033985073,0.000049135495,0.0108443,0.00009359325,0.0000915274,0.000013731131,0.00006717091,0.4110694,0.05951723,0.4853969,0.031811066,0.0007060878],"about_ca_topic_score_codex":0.0000049833366,"about_ca_topic_score_gemma":0.0000022626566,"teacher_disagreement_score":0.8418607,"about_ca_system_score_codex":0.000032370703,"about_ca_system_score_gemma":0.0000059952795,"threshold_uncertainty_score":0.44278064},"labels":[],"label_agreement":null},{"id":"W4313307914","doi":"10.21105/joss.04736","title":"PDENLPModels.jl: An NLPModel API for OptimizationProblems with PDE-Constraints","year":2022,"lang":"en","type":"article","venue":"The Journal of Open Source Software","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Group for Research in Decision Analysis; HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Valorisation des Données; Canada First Research Excellence Fund","keywords":"Discretization; Partial differential equation; Mathematical optimization; Optimization problem; Applied mathematics; Domain (mathematical analysis); Class (philosophy); Mathematics; Computer science; Algebraic number; Mathematical analysis","score_opus":0.019436721932388448,"score_gpt":0.26595812044213263,"score_spread":0.2465213985097442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313307914","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013374518,0.00016596692,0.9855024,0.00016226916,0.000035709338,0.00041166876,0.00002246493,0.00016273076,0.00016225551],"genre_scores_gemma":[0.6744985,0.000042541556,0.3245949,0.00025147924,0.0000702557,0.00007637987,0.00001584365,0.00010818533,0.00034192225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998775,0.00009433906,0.00041877315,0.00012146279,0.00035169953,0.00023874179],"domain_scores_gemma":[0.99898183,0.00014846376,0.0002597605,0.00031583564,0.00018576068,0.00010836269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007427761,0.00017571819,0.0003447026,0.000103626706,0.0003696554,0.000091913316,0.0013136707,0.000030863717,0.00020521897],"category_scores_gemma":[0.00004066353,0.000120115394,0.00009686099,0.00033923826,0.00008902574,0.0005741442,0.0002105706,0.00039688434,0.0000012244714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012432894,0.000045473957,0.00007302365,0.00001159984,0.00010758226,0.0000030528288,0.0009366274,0.9837862,0.00019421194,0.000045288914,0.0010335997,0.013638992],"study_design_scores_gemma":[0.0027786538,0.0019800842,0.00005931571,0.000120581586,0.0006244505,0.001019856,0.0053049135,0.9394896,0.002058516,0.016065365,0.029481515,0.0010171315],"about_ca_topic_score_codex":0.000010822505,"about_ca_topic_score_gemma":0.0000034444035,"teacher_disagreement_score":0.661124,"about_ca_system_score_codex":0.0001277277,"about_ca_system_score_gemma":0.000052828003,"threshold_uncertainty_score":0.48981637},"labels":[],"label_agreement":null},{"id":"W4313433023","doi":"","title":"Fonctions de couplage et chaînage des courbes de Gray surfaciques en forme de méandres","year":2022,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Physics; Philosophy","score_opus":0.010805711870052678,"score_gpt":0.2523034457881742,"score_spread":0.24149773391812152,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313433023","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17561196,0.0033317215,0.7911091,0.0057298844,0.00010471723,0.0004358983,0.0002111862,0.0011861626,0.022279419],"genre_scores_gemma":[0.5572839,0.014055425,0.4176461,0.00015124479,0.000031903415,0.00038787886,0.00050202507,0.00014207803,0.009799445],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99019134,0.0067593083,0.00076815387,0.0008017271,0.0004744734,0.0010050007],"domain_scores_gemma":[0.99339134,0.0031491811,0.00039577502,0.0017908409,0.0008514235,0.00042146974],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008505016,0.0006219366,0.00069689425,0.00031826817,0.0008197042,0.00038150023,0.0015918713,0.0004577513,0.00094008667],"category_scores_gemma":[0.0021215617,0.0007483573,0.0005029625,0.00075894035,0.0004881721,0.0003798248,0.001438666,0.0017359118,0.000030627],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007265356,0.0029478918,0.056456216,0.0018266201,0.0014454932,0.00012374499,0.090708025,0.16624983,0.09187428,0.46081612,0.0054860567,0.121993065],"study_design_scores_gemma":[0.00083044806,0.000005451063,0.031137139,0.002973454,0.0005684419,0.00015226727,0.0019552223,0.26523986,0.29058096,0.12427549,0.28002748,0.0022537764],"about_ca_topic_score_codex":0.007881896,"about_ca_topic_score_gemma":0.007728673,"teacher_disagreement_score":0.38167194,"about_ca_system_score_codex":0.0021519314,"about_ca_system_score_gemma":0.00043911237,"threshold_uncertainty_score":0.9999732},"labels":[],"label_agreement":null},{"id":"W4318978576","doi":"10.5206/mt.v3i1.15944","title":"What's New in Maple 2022: Formal Power Series","year":2023,"lang":"en","type":"article","venue":"Maple Transactions","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Maple; Algebra over a field; Holonomic; Formal power series; Power series; Series (stratigraphy); Mathematics; Programming language; Computer science; Calculus (dental); Pure mathematics; Artificial intelligence; Geology; Botany; Mathematical analysis","score_opus":0.0081340923352881,"score_gpt":0.2323451034092859,"score_spread":0.2242110110739978,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318978576","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016909929,0.0003905207,0.97479206,0.001816572,0.000565091,0.00021230623,0.000021616917,0.0031488421,0.002143063],"genre_scores_gemma":[0.9803815,0.0018582686,0.006831054,0.000073552095,0.000058254882,0.000114624236,0.000035558685,0.0000691597,0.01057805],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920213,0.000009138421,0.000197463,0.00014131653,0.00012410332,0.00032586948],"domain_scores_gemma":[0.99967635,0.000025979272,0.0000107836195,0.00019576939,0.00001139039,0.000079720645],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000059427955,0.00012726316,0.00016322403,0.000236251,0.00006245238,0.00004845353,0.00011311258,0.00006526327,0.00094693893],"category_scores_gemma":[0.000003928188,0.00013615414,0.00009249422,0.0011073387,0.000021954314,0.0013101165,0.000005990112,0.00020814956,0.00021566122],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076133845,0.000165204,0.00028398968,0.00016483988,0.00028891035,0.00012137778,0.004803004,0.58673567,0.03698431,0.0017198577,0.029891223,0.3387655],"study_design_scores_gemma":[0.0011658926,0.00020803716,0.006040702,0.00014307437,0.000103182516,0.00003936085,0.005914968,0.06385676,0.07090676,0.021094881,0.8289805,0.0015458859],"about_ca_topic_score_codex":0.00006135476,"about_ca_topic_score_gemma":0.00058641116,"teacher_disagreement_score":0.967961,"about_ca_system_score_codex":0.00005988942,"about_ca_system_score_gemma":0.0000103809225,"threshold_uncertainty_score":0.9999663},"labels":[],"label_agreement":null},{"id":"W4319988174","doi":"10.2316/j.2023.206-0876","title":"OPTIMISATION OF A SIX-DEGREE-OF-FREEDOM ROBOT TRAJECTORY BASED ON IMPROVED MULTI-OBJECTIVE PSO ALGORITHM, 218-230.","year":2023,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Trajectory; Degree (music); Computer science; Particle swarm optimization; Mathematical optimization; Algorithm; Mathematics; Physics","score_opus":0.017811422604680723,"score_gpt":0.27390275079262477,"score_spread":0.25609132818794406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319988174","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021304898,0.000049713988,0.97792745,0.0001538703,0.00031170875,0.00008872322,0.000017838816,0.00009466847,0.000051113868],"genre_scores_gemma":[0.6701508,0.00008351063,0.32965264,0.000009449173,0.000062472194,0.0000023724638,0.000015239105,0.00001432959,0.000009166919],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998893,0.000027575343,0.00053517875,0.00008740981,0.00036888706,0.000087948116],"domain_scores_gemma":[0.9988942,0.00014846706,0.00038428965,0.00007999524,0.00045109948,0.00004196096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021858147,0.000115022434,0.00023961902,0.0004940962,0.000018267432,0.00001730677,0.00016184432,0.000063822554,0.0000073986844],"category_scores_gemma":[0.00011980538,0.00010527493,0.000104654966,0.00023989698,0.00004186239,0.00019297807,0.000018776194,0.00013717094,0.0000011535068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022265871,0.00007201998,0.00010994098,0.000020583393,0.00011500834,0.000004113518,0.00009324773,0.9082615,0.025500504,0.0000866039,0.000025425694,0.06568879],"study_design_scores_gemma":[0.000673312,0.00017760544,0.0058916593,0.00012328028,0.00003626687,0.0000053415106,0.00005541589,0.97821605,0.014422262,0.0002964061,0.000012896416,0.00008948753],"about_ca_topic_score_codex":0.000009627684,"about_ca_topic_score_gemma":0.000002740946,"teacher_disagreement_score":0.6488459,"about_ca_system_score_codex":0.00010621485,"about_ca_system_score_gemma":0.000026768554,"threshold_uncertainty_score":0.4292987},"labels":[],"label_agreement":null},{"id":"W4320855478","doi":"10.48550/arxiv.2301.04241","title":"A Continuation Method for Fitting a Bandlimited Curve to Points in the Plane","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Bandlimiting; Curve fitting; Algorithm; Function (biology); Discretization; Mathematical analysis; Data point; Fourier transform; Statistics","score_opus":0.0897641586696161,"score_gpt":0.24300105277553175,"score_spread":0.15323689410591565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320855478","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07203576,0.00001134236,0.9262411,0.00016370705,0.00008041301,0.00067313435,0.000043799828,0.00053222454,0.00021849223],"genre_scores_gemma":[0.96427435,0.000044070093,0.03505086,0.0001190432,0.000055338012,0.000025042382,0.00010431485,0.00004420709,0.0002827676],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989063,0.00011301965,0.00021389921,0.00044985782,0.000060496197,0.00025642873],"domain_scores_gemma":[0.998745,0.0006496464,0.00008072001,0.0004068208,0.00006531228,0.00005249019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005614171,0.00021264584,0.00032856694,0.00034883266,0.000045273115,0.000028969807,0.0004666481,0.00016810879,0.000006889945],"category_scores_gemma":[0.00024669073,0.00020721802,0.00015334347,0.0008254126,0.000014698679,0.000071477545,0.00018898337,0.00038272442,0.000022541244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043771845,0.00002403411,0.0009758995,0.0001062828,0.00009997626,0.000046108205,0.000528497,0.992963,0.00024403943,0.002116728,0.00095142255,0.001900231],"study_design_scores_gemma":[0.00030350563,0.000036665835,0.0016580578,0.00013856677,0.00010958418,8.1848486e-7,0.00027659914,0.9606988,0.0005503733,0.03454919,0.0013204622,0.00035738535],"about_ca_topic_score_codex":0.00013174319,"about_ca_topic_score_gemma":0.00023638816,"teacher_disagreement_score":0.8922386,"about_ca_system_score_codex":0.00016430534,"about_ca_system_score_gemma":0.000011768677,"threshold_uncertainty_score":0.8450106},"labels":[],"label_agreement":null},{"id":"W4321179582","doi":"10.1093/jom/ufad002","title":"Computational aerodynamics with isogeometric analysis","year":2023,"lang":"en","type":"article","venue":"Journal of Mechanics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Army Research Office; Division of Arctic Sciences; Natural Sciences and Engineering Research Council of Canada; Waseda University; Council for Science, Technology and Innovation; Compute Canada; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology; National Science Foundation","keywords":"Isogeometric analysis; Aerodynamics; Computation; Computer science; Computational fluid dynamics; Immersed boundary method; Complex geometry; Mesh generation; Boundary (topology); Computational science; Applied mathematics; Algorithm; Mathematics; Geometry; Mechanics; Finite element method; Mathematical analysis; Physics; Structural engineering; Engineering","score_opus":0.006198213297291725,"score_gpt":0.2281589507825362,"score_spread":0.22196073748524447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321179582","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06862031,0.00008012531,0.93093204,0.000057185,0.00005000368,0.000024034161,0.000004360137,0.00017547964,0.00005645067],"genre_scores_gemma":[0.93887806,0.00019939398,0.06080445,0.000025583615,0.000037252892,0.0000011926817,0.000009304123,0.000020832358,0.00002395966],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906087,0.000013869209,0.00032378585,0.00006871634,0.00039012762,0.00014264097],"domain_scores_gemma":[0.9994054,0.00009676625,0.00013834737,0.00010128927,0.00018361033,0.00007459286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025090645,0.00009708959,0.0003046769,0.0014057636,0.000026815771,0.000017304474,0.00016278434,0.000042214382,0.000024223715],"category_scores_gemma":[0.000042139527,0.000075939264,0.00017417855,0.006710299,0.0000065559793,0.00012644322,0.000018230776,0.00019043968,0.000012443995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000060472885,0.000011103783,0.00016465175,0.000007115462,0.0006755295,0.00003107549,0.000015103883,0.99457055,0.00020132879,0.0007836219,0.00022162861,0.003312239],"study_design_scores_gemma":[0.00013156152,0.00009887951,0.00051296945,0.000008539413,0.00042956867,0.000022629634,0.000038835737,0.9869444,0.00023008636,0.011039233,0.00043519135,0.00010812971],"about_ca_topic_score_codex":6.727547e-7,"about_ca_topic_score_gemma":0.0000031965087,"teacher_disagreement_score":0.87025774,"about_ca_system_score_codex":0.0000821216,"about_ca_system_score_gemma":0.000013518861,"threshold_uncertainty_score":0.3224076},"labels":[],"label_agreement":null},{"id":"W4321238110","doi":"10.1007/s00365-023-09619-3","title":"Multivariate Generalized Hermite Subdivision Schemes","year":2023,"lang":"en","type":"article","venue":"Constructive Approximation","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Subdivision; Hermite interpolation; Mathematics; Hermite polynomials; Cubic Hermite spline; Smoothness; Applied mathematics; Hermite spline; Interpolation (computer graphics); Pure mathematics; Mathematical analysis; Spline interpolation; Polynomial; Smoothing spline; Linear interpolation; Nearest-neighbor interpolation; Computer science; Bilinear interpolation","score_opus":0.013602496390902207,"score_gpt":0.2610097100331895,"score_spread":0.2474072136422873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321238110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5086665,0.000045960103,0.4870887,0.00002291236,0.00009615342,0.00020179541,0.000008513871,0.0022894677,0.0015799906],"genre_scores_gemma":[0.9309126,0.000048531034,0.06872541,0.000014350907,0.000045863024,0.00007799185,0.000079234116,0.000031565887,0.000064420165],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992297,0.00003017676,0.00021062992,0.0001895711,0.00014783553,0.00019205196],"domain_scores_gemma":[0.9996161,0.000047190042,0.000046106496,0.00017823924,0.00006670634,0.000045684723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009674923,0.00014046437,0.00018427017,0.00018518578,0.00006428449,0.000024188355,0.000092670525,0.000067578105,0.00004032687],"category_scores_gemma":[0.000060352602,0.00013531095,0.00006419263,0.00074593496,0.00006542248,0.00028608734,0.000038979997,0.00010419952,0.00013563549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030534997,0.00003223546,0.0029123276,0.0001501141,0.00022852402,0.000011678011,0.00052493694,0.013914193,0.5125684,0.06409271,0.0011345529,0.40439978],"study_design_scores_gemma":[0.00037250938,0.000011669925,0.004416833,0.000025592612,0.000021695214,0.0000040422356,0.00008159859,0.79431844,0.17553964,0.023170322,0.0017526309,0.0002850068],"about_ca_topic_score_codex":0.0000031848772,"about_ca_topic_score_gemma":5.8368715e-7,"teacher_disagreement_score":0.78040427,"about_ca_system_score_codex":0.000065912194,"about_ca_system_score_gemma":0.0000049868154,"threshold_uncertainty_score":0.5517821},"labels":[],"label_agreement":null},{"id":"W4321390647","doi":"","title":"Interactive algorithm for geometric modelling double-curvature arch dams","year":2019,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"","keywords":"Arch; Curvature; Algorithm; Computer science; Geometry; Mathematics; Engineering; Structural engineering","score_opus":0.17364173292705554,"score_gpt":0.5310756928463676,"score_spread":0.35743395991931204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321390647","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08540914,0.0095074205,0.90040576,0.000027245496,0.0004986321,0.0010149736,0.000063479994,0.00024945318,0.0028238948],"genre_scores_gemma":[0.9272231,0.00688202,0.06460228,0.00010829925,0.00025674092,0.00019509853,0.000049495862,0.00017503792,0.0005079521],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99755234,0.00005400063,0.0008184532,0.0004920169,0.00056368083,0.00051950297],"domain_scores_gemma":[0.9978628,0.0005590074,0.00042814115,0.00053091015,0.00040043244,0.00021868262],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00061132543,0.00041192694,0.0010142378,0.0016183484,0.000109859866,0.0005500397,0.0021855198,0.00017076415,0.0015912129],"category_scores_gemma":[0.00006527672,0.00037738067,0.00035171967,0.0025079537,0.00004950424,0.00280445,0.00049696193,0.0007655368,0.000022160606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037832218,0.00033579636,0.01922584,0.00035610277,0.0014354694,0.000019326615,0.00021706882,0.45183817,0.058551688,0.00010906093,0.012873076,0.45466006],"study_design_scores_gemma":[0.001760908,0.00004883443,0.0068800757,0.0007224427,0.00030041923,0.000016540149,0.000099336954,0.72632486,0.21133631,0.01360166,0.037330016,0.0015786141],"about_ca_topic_score_codex":0.00019747537,"about_ca_topic_score_gemma":0.0000046715363,"teacher_disagreement_score":0.8418139,"about_ca_system_score_codex":0.00022985111,"about_ca_system_score_gemma":0.00003122931,"threshold_uncertainty_score":0.9998678},"labels":[],"label_agreement":null},{"id":"W4321763991","doi":"10.1016/j.tafmec.2023.103818","title":"3D fracture study of cracked functionally graded biological materials by XIGA approach using Bézier extraction of NURBS","year":2023,"lang":"en","type":"article","venue":"Theoretical and Applied Fracture Mechanics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Department of Mechanical Engineering, University of Alberta; Shiv Nadar University","keywords":"Discretization; Isogeometric analysis; Basis function; Functionally graded material; Bézier curve; Material properties; Materials science; Structural engineering; Computer science; Mathematics; Geometry; Engineering; Finite element method; Composite material; Mathematical analysis","score_opus":0.011810430478365188,"score_gpt":0.24531937638575937,"score_spread":0.23350894590739418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321763991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53699476,0.000040479426,0.46213123,0.000023768473,0.000041848052,0.00033730714,0.00002475818,0.00027921508,0.00012661946],"genre_scores_gemma":[0.9940105,0.00006551099,0.0056007626,0.0000797543,0.00006168835,0.000040303283,0.000096847776,0.00004060881,0.000004015402],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99854517,0.000074613825,0.0004888238,0.00032859194,0.00030398637,0.00025884324],"domain_scores_gemma":[0.9992882,0.00019995055,0.00013927983,0.0002375807,0.000049075115,0.00008590094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037194617,0.00028053654,0.00060977833,0.00010479804,0.00006243514,0.000014951146,0.00015144139,0.0003222807,0.00020541658],"category_scores_gemma":[0.00004583475,0.00020322234,0.00006247003,0.00043571627,0.00013194673,0.000055669974,0.00006695432,0.0003321448,0.000003281981],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017890081,0.0003757736,0.000007864393,0.00007876152,0.00014523114,0.0000017110166,0.00021303738,0.01060329,0.93890536,0.048011754,0.00016292602,0.0013154164],"study_design_scores_gemma":[0.00070395763,0.00032993866,0.00016371623,0.000023715515,0.00024890315,0.000008206544,0.0008919354,0.036570866,0.72094035,0.2391613,0.0004407651,0.0005163265],"about_ca_topic_score_codex":0.000003195665,"about_ca_topic_score_gemma":1.3403451e-7,"teacher_disagreement_score":0.45701572,"about_ca_system_score_codex":0.00002425824,"about_ca_system_score_gemma":0.0000047463795,"threshold_uncertainty_score":0.82871664},"labels":[],"label_agreement":null},{"id":"W4322742748","doi":"10.3390/applmech4010017","title":"Free-Form Deformation Parameterization on the Aerodynamic Optimization of Morphing Trailing Edge","year":2023,"lang":"en","type":"article","venue":"Applied Mechanics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Morphing; Trailing edge; Python (programming language); Aerodynamics; Computer science; Mathematical optimization; Shape optimization; Optimization problem; Mathematics; Applied mathematics; Aerospace engineering; Mechanics; Structural engineering; Physics; Engineering; Artificial intelligence","score_opus":0.011686441203631935,"score_gpt":0.21003787536911295,"score_spread":0.198351434165481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322742748","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038447134,0.0000049454675,0.95976394,0.00004238142,0.00005392968,0.00024182636,0.000009133045,0.0007510301,0.00068568386],"genre_scores_gemma":[0.97954077,0.000103692735,0.020078707,0.00004212116,0.000018273273,0.00007632132,0.00010075148,0.00003411605,0.000005232983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992911,0.000009045939,0.0002624562,0.000108786924,0.00017780923,0.00015078534],"domain_scores_gemma":[0.99950737,0.00008262706,0.00007897611,0.00028294473,0.000026503467,0.000021583146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002047468,0.000114679395,0.00014027655,0.00012882809,0.00006390126,0.000013713097,0.00017889818,0.0000692377,0.000011912085],"category_scores_gemma":[0.000048837515,0.000092050715,0.000045510824,0.00074052747,0.00000795835,0.00010366592,0.000035940677,0.00011540809,0.000012904136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036393885,0.0000053406534,2.4821767e-7,0.000023899169,0.0000141269975,1.2250554e-7,0.00011363309,0.9061826,0.042416766,0.04425928,0.00003532349,0.0069450126],"study_design_scores_gemma":[0.00006705041,0.000014990335,0.000003924449,0.000015668355,0.000015790749,2.6890024e-7,0.000096777156,0.9315947,0.049035527,0.019023102,0.000039834205,0.00009234243],"about_ca_topic_score_codex":0.0000014286163,"about_ca_topic_score_gemma":0.0000017630693,"teacher_disagreement_score":0.9410936,"about_ca_system_score_codex":0.000047127825,"about_ca_system_score_gemma":0.0000038072753,"threshold_uncertainty_score":0.37537193},"labels":[],"label_agreement":null},{"id":"W4323026974","doi":"10.2991/978-94-6463-104-3_13","title":"Optimization of Spline Slip Surfaces Using Metaheuristic Search in LEM","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Rocscience (Canada)","funders":"","keywords":"Metaheuristic; Slip (aerodynamics); Spline (mechanical); Computer science; Mathematical optimization; Geology; Algorithm; Mathematics; Engineering; Structural engineering; Aerospace engineering","score_opus":0.042767625841023435,"score_gpt":0.2808167985595963,"score_spread":0.23804917271857284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323026974","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00024171536,0.00031683146,0.90611166,0.000011904901,0.000055224005,0.00022364699,0.000023376151,0.00073619524,0.092279434],"genre_scores_gemma":[0.05224163,0.0037966229,0.6844823,0.000017318076,0.000124251,0.000013244903,0.00025610556,0.0005607163,0.25850785],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989438,0.0000082773995,0.0004562496,0.00020249409,0.00022914894,0.00016005042],"domain_scores_gemma":[0.9995207,0.000094591815,0.000058952188,0.00022033477,0.000069966045,0.000035437362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013651166,0.00021700893,0.00051794725,0.00041900086,0.000011179377,0.000007923074,0.00013337932,0.00017252177,0.00030159685],"category_scores_gemma":[0.000021653903,0.00021154032,0.00009812723,0.00018910776,0.00003906891,0.00006340314,0.000063480766,0.00025512013,0.000018401644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020306727,0.0000035345774,0.000010819097,0.00010507303,0.00005931949,0.0000068195695,0.000007835448,0.9957168,0.00036127068,0.0029199987,0.000028370981,0.0007781466],"study_design_scores_gemma":[0.00005159425,0.0000137088855,0.0000055481355,0.00013081699,0.00006221605,7.5526407e-7,0.0000048107727,0.9944762,0.0017790607,0.00292662,0.00031811057,0.00023053384],"about_ca_topic_score_codex":0.000058010188,"about_ca_topic_score_gemma":0.000027696566,"teacher_disagreement_score":0.22162941,"about_ca_system_score_codex":0.00009596977,"about_ca_system_score_gemma":0.000011732916,"threshold_uncertainty_score":0.8626364},"labels":[],"label_agreement":null},{"id":"W4323027185","doi":"10.2139/ssrn.4376050","title":"A Parametric Level Set Method with Convolutional Encoder-Decoder Network for Shape Optimization with Fluid Flow","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Computer science; Set (abstract data type); Parametric statistics; Encoder; Algorithm; Flow (mathematics); Convolutional neural network; Mathematics; Artificial intelligence; Statistics; Geometry; Programming language","score_opus":0.019337597817123076,"score_gpt":0.2735606218094411,"score_spread":0.254223023992318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323027185","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020618567,0.000714469,0.99628514,0.00015341461,0.000041122024,0.00024155695,0.000016763197,0.00043236586,0.00005331746],"genre_scores_gemma":[0.15887609,0.0019896235,0.83802265,0.00006878636,0.0003492545,0.00013208928,0.00012653627,0.00012107419,0.00031390044],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973577,0.0000509438,0.0002897043,0.00024728742,0.00031836555,0.0017359912],"domain_scores_gemma":[0.9992949,0.00018554993,0.000095113064,0.00015492589,0.00017191243,0.000097643926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009170938,0.00024091633,0.00030701133,0.00028594848,0.00020687626,0.00004492707,0.00020196827,0.000089434165,0.000031739895],"category_scores_gemma":[0.000056567074,0.00018648202,0.00010403031,0.0017500361,0.00003397888,0.00019622299,0.000018512186,0.00077842537,0.0000075664457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000094235314,0.000011496446,0.00017012059,0.000009132102,0.00036065522,0.0000021391847,0.000016392982,0.9833032,0.00004365678,0.002235925,0.00070722145,0.013045819],"study_design_scores_gemma":[0.0005866192,0.000430482,0.00007665404,0.000024593024,0.00010685476,0.00020395496,0.000083972234,0.9722621,0.000105332656,0.024909386,0.00092938275,0.00028071238],"about_ca_topic_score_codex":0.000004660927,"about_ca_topic_score_gemma":0.00009908541,"teacher_disagreement_score":0.15826249,"about_ca_system_score_codex":0.00060101476,"about_ca_system_score_gemma":0.00042747724,"threshold_uncertainty_score":0.7604516},"labels":[],"label_agreement":null},{"id":"W4328028373","doi":"10.1111/cgf.14626","title":"A Second Order Cone Programming Approach for Simulating Biphasic Materials","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; H2020 European Research Council; Canada Foundation for Innovation","keywords":"Second-order cone programming; Quadratic programming; Mathematical optimization; Computer science; Sequential quadratic programming; Quadratically constrained quadratic program; Nonlinear programming; Feasible region; Convex optimization; Regular polygon; Mathematics; Applied mathematics; Algorithm; Nonlinear system; Geometry","score_opus":0.012517908235615901,"score_gpt":0.2389733834308082,"score_spread":0.2264554751951923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4328028373","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02618676,0.00014685815,0.9717592,0.000032808388,0.000199742,0.00060376595,0.00004529979,0.0009527144,0.000072828436],"genre_scores_gemma":[0.684952,0.000003725159,0.31395248,0.00021738352,0.00008932417,0.00053819246,0.00015386302,0.00006793351,0.000025073336],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870336,0.000032418662,0.00034462567,0.00030047187,0.00017251527,0.00044659857],"domain_scores_gemma":[0.99945265,0.00008354252,0.00007427264,0.0002654458,0.00006172815,0.000062356085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021009939,0.00021059718,0.00033430866,0.00020986648,0.00029367735,0.00006551393,0.000276325,0.000051541836,0.000056509907],"category_scores_gemma":[0.0000080675545,0.00022433873,0.00012819859,0.0007090025,0.00004065112,0.00011824164,0.00022137315,0.00020085897,8.058033e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093841954,0.00041727134,0.0015861888,0.0012003275,0.0010863842,0.000022332972,0.00079769467,0.7037415,0.019852437,0.05983256,0.009047442,0.20232205],"study_design_scores_gemma":[0.0004173706,0.00016675396,0.000021835824,0.0000072566736,0.000031065745,0.000010968324,0.00005392865,0.9353692,0.0035221549,0.0040886677,0.055913623,0.0003971957],"about_ca_topic_score_codex":0.0000023063697,"about_ca_topic_score_gemma":0.000001500608,"teacher_disagreement_score":0.65876526,"about_ca_system_score_codex":0.000047656173,"about_ca_system_score_gemma":0.000007443558,"threshold_uncertainty_score":0.9148268},"labels":[],"label_agreement":null},{"id":"W4353063366","doi":"10.26443/msurj.v18i1.192","title":"Description and Exploration of Mean-Gauss Surfaces","year":2023,"lang":"en","type":"article","venue":"McGill Science Undergraduate Research Journal","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Conjecture; Gaussian curvature; Mean curvature; Surface of revolution; Gauss; Mathematics; Differential geometry; State (computer science); Relation (database); Gaussian; Surface (topology); Differential (mechanical device); Curvature; Pure mathematics; Geometry; Computer science; Algorithm; Physics","score_opus":0.12580907623975524,"score_gpt":0.37804239505753506,"score_spread":0.25223331881777983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4353063366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92171246,0.00028681845,0.06871204,0.0043691806,0.00022326579,0.00029114925,0.000009543176,0.0006232567,0.0037722767],"genre_scores_gemma":[0.99243236,0.004424964,0.0030101696,0.000003341271,0.00002074566,0.000005740922,8.7010983e-7,0.000011785602,0.00009004322],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9978548,0.000091128575,0.00025314468,0.00017627985,0.0011501607,0.00047445446],"domain_scores_gemma":[0.9991117,0.000110026565,0.00004388233,0.00013668381,0.00040095404,0.00019674712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030356122,0.00008343932,0.00013952071,0.0009162694,0.0006383123,0.00011785988,0.00028725824,0.000029265253,0.0000046236114],"category_scores_gemma":[0.0003017782,0.0000683558,0.000032946555,0.0035534368,0.00058874435,0.0018673731,0.000105522005,0.00035047825,0.000018785722],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011339108,0.000031225896,0.0002889175,0.00004879741,0.000024702873,0.00002251296,0.00023660189,0.04655706,0.8896227,0.010633563,0.001013882,0.051508725],"study_design_scores_gemma":[0.00026076863,0.0003109997,0.0011807694,0.00012809559,0.000010915279,0.00005396658,0.0013003484,0.28696722,0.27175698,0.43376017,0.0039776037,0.000292172],"about_ca_topic_score_codex":0.000019552164,"about_ca_topic_score_gemma":0.000021418364,"teacher_disagreement_score":0.6178657,"about_ca_system_score_codex":0.00017758342,"about_ca_system_score_gemma":0.000033308643,"threshold_uncertainty_score":0.49094465},"labels":[],"label_agreement":null},{"id":"W4365600752","doi":"10.1016/j.jcp.2025.114059","title":"Sharp front tracking with geometric interface reconstruction","year":2025,"lang":"en","type":"article","venue":"Journal of Computational Physics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"H2020 Marie Skłodowska-Curie Actions; National Nuclear Security Administration; Los Alamos National Laboratory; Horizon 2020 Framework Programme; Deutsche Forschungsgemeinschaft; U.S. Department of Energy","keywords":"Front (military); Tracking (education); Interface (matter); Computer vision; Computer science; Artificial intelligence; Geometry; Computer graphics (images); Geology; Mathematics; Psychology; Parallel computing","score_opus":0.007636545571404717,"score_gpt":0.2530670343794486,"score_spread":0.24543048880804388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365600752","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.053353313,0.0002375938,0.9454516,0.000059806127,0.000103763,0.000028508095,0.0000012174631,0.000051946892,0.00071224745],"genre_scores_gemma":[0.8942248,0.000017060871,0.105617695,0.000026669275,0.000083481136,8.402116e-7,0.0000012583076,0.00000845044,0.000019700028],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940735,0.000010566787,0.0002725389,0.000056471574,0.00017878608,0.00007425647],"domain_scores_gemma":[0.9994394,0.000099545025,0.00012772279,0.00004557833,0.00026062506,0.000027086297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006058134,0.00008181461,0.00018539822,0.00020214352,0.000027667726,0.000025707235,0.00009097897,0.000021449381,0.000010023835],"category_scores_gemma":[0.00001657334,0.00006834918,0.00007020893,0.00053769926,0.000024124072,0.00030278432,0.000009288696,0.00019519258,0.0000029337998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011896293,0.000017960418,0.00025707227,0.000014354891,0.00010859531,0.000001563839,0.00001790576,0.842177,0.0002424905,0.00028617692,0.00034114864,0.15652385],"study_design_scores_gemma":[0.0010088821,0.00026335777,0.011494984,0.0005719704,0.00021236858,0.00014332958,0.00011861754,0.65263814,0.031355653,0.2997591,0.002028064,0.00040554398],"about_ca_topic_score_codex":5.8768853e-7,"about_ca_topic_score_gemma":2.595922e-7,"teacher_disagreement_score":0.8408715,"about_ca_system_score_codex":0.00011082561,"about_ca_system_score_gemma":0.000026155773,"threshold_uncertainty_score":0.27871987},"labels":[],"label_agreement":null},{"id":"W4378772226","doi":"10.1145/3588432.3591488","title":"High-Order Incremental Potential Contact for Elastodynamic Simulation on Curved Meshes","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Polygon mesh; Finite element method; Computer science; Reliability (semiconductor); Contact force; Order (exchange); Computational science; Structural engineering; Engineering; Computer graphics (images); Physics; Classical mechanics","score_opus":0.019144370056452798,"score_gpt":0.28838756925952924,"score_spread":0.26924319920307643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378772226","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04560155,0.000021054793,0.94979745,0.00007549605,0.00051962456,0.0007376932,0.00010895515,0.0029188523,0.00021933304],"genre_scores_gemma":[0.95734394,0.000046862162,0.040749427,0.000040455936,0.00017114304,0.00025882066,0.00086234673,0.00012976368,0.00039725535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985937,0.000023964023,0.0004221002,0.00043530643,0.00024579748,0.0002791386],"domain_scores_gemma":[0.99922895,0.00017334384,0.00008803199,0.00036275122,0.00008761467,0.00005931903],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011413674,0.00036552036,0.00047721853,0.00022085707,0.000053377273,0.00004796678,0.00022473052,0.00027130236,0.00009936298],"category_scores_gemma":[0.00006178803,0.0003510366,0.00025177747,0.0001593022,0.00001609577,0.00008134806,0.00018347085,0.0003729819,0.00005965314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026092528,0.000024410754,0.000014803366,0.000088398585,0.00021640069,0.0000017436587,0.000007850859,0.9925412,0.0042238752,0.00037761705,0.00038561237,0.0020919796],"study_design_scores_gemma":[0.00027067162,0.00007562492,0.00046467106,0.000059834347,0.000096258445,1.3890643e-7,0.0000119837605,0.98476017,0.0053481795,0.008156417,0.0003432704,0.00041278242],"about_ca_topic_score_codex":0.00011156115,"about_ca_topic_score_gemma":0.000070925504,"teacher_disagreement_score":0.9117424,"about_ca_system_score_codex":0.00029205016,"about_ca_system_score_gemma":0.000012061031,"threshold_uncertainty_score":0.99989414},"labels":[],"label_agreement":null},{"id":"W4381828054","doi":"10.3934/era.2023196","title":"The asymptotic concentration approach combined with isogeometric analysis for topology optimization of two-dimensional linear elasticity structures","year":2023,"lang":"en","type":"article","venue":"Electronic Research Archive","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Isogeometric analysis; Topology optimization; Linear elasticity; Isotropy; Finite element method; Elasticity (physics); Mathematics; Topology (electrical circuits); Applied mathematics; Mathematical optimization; Computer science; Structural engineering; Materials science; Physics; Engineering; Combinatorics; Composite material","score_opus":0.017250997261632775,"score_gpt":0.31288305698983937,"score_spread":0.2956320597282066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381828054","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06708147,0.0001496957,0.9317796,0.000072058705,0.00001045563,0.0005449729,0.000018989453,0.0001649452,0.00017778546],"genre_scores_gemma":[0.97255874,0.00013992461,0.026733778,0.0000041982444,0.000031925018,0.00016884838,0.0003008064,0.000022978056,0.000038806855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99814236,0.00019346391,0.00025882616,0.00025020007,0.0004611382,0.00069398695],"domain_scores_gemma":[0.997677,0.0017180777,0.000057627272,0.00024972414,0.0002303169,0.0000672457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063371216,0.00012579357,0.00027597958,0.00062457664,0.00025381727,0.000023245002,0.0002593752,0.000039239105,0.0000119847755],"category_scores_gemma":[0.00033670582,0.000084683445,0.00010465443,0.0045171627,0.00028828648,0.00006440593,0.000052791063,0.0003634893,0.0000017152283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017484261,0.000019809238,0.00030404926,0.000017422964,0.000599973,4.2502302e-7,0.00003969787,0.98339355,0.0023406895,0.01243721,0.00010937113,0.00056296965],"study_design_scores_gemma":[0.00035545125,0.0005889457,0.0006454779,0.0000027137828,0.00009204157,8.489805e-7,0.000027394419,0.9700646,0.0059237056,0.022165205,0.000045222238,0.00008840653],"about_ca_topic_score_codex":0.000022516164,"about_ca_topic_score_gemma":0.000043663564,"teacher_disagreement_score":0.9054773,"about_ca_system_score_codex":0.0001335218,"about_ca_system_score_gemma":0.00009355426,"threshold_uncertainty_score":0.34532905},"labels":[],"label_agreement":null},{"id":"W4382771535","doi":"","title":"Analysis of Singularity Lines by Transforms with Parabolic Scaling","year":2009,"lang":"en","type":"preprint","venue":"INRIA a CCSD electronic archive server","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Singularity; Scaling; Computer science; Mathematical analysis; Mathematics; Geometry","score_opus":0.004376450644664448,"score_gpt":0.22997952841343777,"score_spread":0.22560307776877334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382771535","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3962167,0.001938781,0.60035354,0.00005470429,0.000028015798,0.00037280048,0.00014994983,0.00057300634,0.0003125047],"genre_scores_gemma":[0.9885533,0.0014856625,0.008818031,0.000060017188,0.00005845337,0.00006961056,0.0008377254,0.000088651104,0.000028539653],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971605,0.000090561975,0.0007738956,0.00069070514,0.00044556984,0.0008387559],"domain_scores_gemma":[0.9985707,0.000093503404,0.00023286768,0.00086634763,0.00009841906,0.00013816266],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023160741,0.0006417045,0.0015245988,0.0006426558,0.00006255779,0.000035837784,0.0006476925,0.00028924757,0.000038183578],"category_scores_gemma":[0.000018980063,0.000545612,0.0007174324,0.0013593574,0.00013616701,0.00012130093,0.00010792597,0.0014326437,0.0000022291547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024100037,0.0003441814,0.0020036262,0.0005079705,0.015255485,0.000012920621,0.00077696383,0.93760717,0.01020909,0.0043912763,0.00025989482,0.028390434],"study_design_scores_gemma":[0.0013464565,0.0007001872,0.009870384,0.00067043933,0.01580611,0.0000108236145,0.00005125618,0.7274907,0.053563032,0.17592856,0.010963023,0.0035989757],"about_ca_topic_score_codex":0.00021098279,"about_ca_topic_score_gemma":0.0016710875,"teacher_disagreement_score":0.5923366,"about_ca_system_score_codex":0.00024317714,"about_ca_system_score_gemma":0.00011015726,"threshold_uncertainty_score":0.99969953},"labels":[],"label_agreement":null},{"id":"W4383563360","doi":"10.1016/b978-0-12-805320-1.00012-9","title":"Pseudo-bound optimization","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Graph; Range (aeronautics); Computer science; Boundary (topology); Order (exchange); Mathematical optimization; Global optimization; Branch and bound; Mathematics; Theoretical computer science; Engineering; Economics; Mathematical analysis","score_opus":0.012558699906463286,"score_gpt":0.23184460825340686,"score_spread":0.21928590834694356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383563360","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000010285235,0.0002701144,0.014316307,0.000013069984,0.00021010933,0.0002425797,0.000019177081,0.0024742403,0.98245335],"genre_scores_gemma":[0.00005621558,0.00060040393,0.014403382,0.000060790742,0.00022790763,0.000051757284,0.00007200137,0.0002990507,0.9842285],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987836,0.0000062985023,0.00039024156,0.00031493985,0.00025640862,0.00024851863],"domain_scores_gemma":[0.9992602,0.000042279975,0.00008427058,0.00046265937,0.000058038553,0.00009254581],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000728825,0.00039600086,0.00048739498,0.00022737244,0.00005521411,0.00003804065,0.00023109662,0.0003200094,0.00023230696],"category_scores_gemma":[0.000011549133,0.00040796676,0.00022562922,0.00003510997,0.000067401765,0.00004954069,0.000074190415,0.0004209995,0.00050058286],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000015675104,0.000001396339,2.2950536e-7,0.000075368276,0.00014603375,0.00002314942,0.000021605696,0.028307464,0.000039604332,0.0027455748,0.0004994799,0.9681385],"study_design_scores_gemma":[0.00007115464,0.000021810238,5.864549e-7,0.00022522779,0.00015146681,0.000005154061,0.0000015176014,0.019906191,0.00017086421,0.0343201,0.94446784,0.0006580765],"about_ca_topic_score_codex":1.2651194e-7,"about_ca_topic_score_gemma":0.000003950758,"teacher_disagreement_score":0.9674804,"about_ca_system_score_codex":0.00013416976,"about_ca_system_score_gemma":0.000013435778,"threshold_uncertainty_score":0.9998372},"labels":[],"label_agreement":null},{"id":"W4383821550","doi":"10.28924/2291-8639-21-2023-68","title":"Hypersurfaces With a Common Geodesic Curve in 4D Euclidean space E4","year":2023,"lang":"en","type":"article","venue":"International Journal of Analysis and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Geodesic; Frenet–Serret formulas; Mathematics; Hypersurface; Euclidean space; Euclidean geometry; Frame (networking); Geodesic map; Space (punctuation); Mathematical analysis; Pure mathematics; Geometry; Computer science; Curvature","score_opus":0.006841985489058761,"score_gpt":0.2722207146796064,"score_spread":0.2653787291905476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383821550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66193426,0.00024866537,0.33611724,0.0009390581,0.000016340227,0.00007446295,0.000013903028,0.00009235211,0.00056369137],"genre_scores_gemma":[0.99354887,0.0007005775,0.005597968,0.000025769246,0.000047336478,0.000016580076,0.000015300706,0.000009957093,0.000037619324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923074,0.000015199953,0.0003151486,0.00009710663,0.00024719303,0.000094588984],"domain_scores_gemma":[0.99949473,0.00009045246,0.00012408933,0.00009907246,0.0001373056,0.000054322492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016692096,0.00008660553,0.0002426178,0.0007042546,0.000030846975,0.000053744272,0.0002131456,0.000025990685,0.00001673082],"category_scores_gemma":[0.000009147962,0.00006947956,0.00010160684,0.0014771969,0.000047722133,0.00014027688,0.000024710702,0.0001346831,0.000004848277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039855713,0.00013302859,0.20225148,0.000014954976,0.0036506855,0.000059061436,0.00028715932,0.73649657,0.0048416127,0.0050925342,0.00037538924,0.04675768],"study_design_scores_gemma":[0.0016452399,0.00021991054,0.34764466,0.00017914463,0.0023896424,0.00011065162,0.0017076374,0.5636004,0.010619405,0.023358254,0.047464684,0.0010603323],"about_ca_topic_score_codex":0.000048435515,"about_ca_topic_score_gemma":0.00020505623,"teacher_disagreement_score":0.3316146,"about_ca_system_score_codex":0.00005038781,"about_ca_system_score_gemma":0.00000906524,"threshold_uncertainty_score":0.28332943},"labels":[],"label_agreement":null},{"id":"W4384575269","doi":"10.23952/asvao.5.2023.2.04","title":"Projecting onto rectangular hyperbolic paraboloids in Hilbert space","year":2023,"lang":"en","type":"article","venue":"Applied Set-Valued Analysis and Optimization","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Science and Engineering Research Board; Natural Sciences and Engineering Research Council of Canada","keywords":"Paraboloid; Projection (relational algebra); Mathematics; Quintic function; Quadric; Hyperbolic manifold; Polynomial; Hyperbolic space; Mathematical analysis; Hilbert space; Saddle; Surface (topology); Lemma (botany); Pure mathematics; Geometry; Hyperbolic function; Nonlinear system; Physics; Algorithm; Mathematical optimization","score_opus":0.008410797134811054,"score_gpt":0.23955987105786614,"score_spread":0.2311490739230551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384575269","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18708326,0.0002610404,0.807875,0.000096938486,0.00002688002,0.00036632686,0.0000054728653,0.0014016333,0.0028834685],"genre_scores_gemma":[0.93934053,0.000788793,0.059350565,0.000047998827,0.00003680876,0.00010735123,0.00018946231,0.000044430293,0.00009406353],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987324,0.00003627996,0.00035817208,0.00037047913,0.00019545249,0.00030723456],"domain_scores_gemma":[0.99953353,0.000056146146,0.0000611691,0.00024818012,0.00003230832,0.00006863462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002934751,0.00021188671,0.00048304859,0.0008238223,0.00008615982,0.00004861698,0.00010179722,0.000118160766,0.00002687477],"category_scores_gemma":[0.00003973908,0.00020881862,0.00010369713,0.0055317883,0.00002898857,0.00012287838,0.000042356438,0.00015425096,0.00000943575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000066362427,0.000010873596,0.0019118156,0.000015695208,0.00021862925,0.0000022319862,0.0002905073,0.9911108,0.0025621196,0.00040365703,0.00005718202,0.0034098558],"study_design_scores_gemma":[0.00017339391,0.000009305817,0.0017285342,0.000008709329,0.00031240197,4.976917e-7,0.00023896417,0.9945181,0.002166381,0.00036180916,0.0002203667,0.0002615309],"about_ca_topic_score_codex":0.00012268829,"about_ca_topic_score_gemma":0.000128586,"teacher_disagreement_score":0.7522573,"about_ca_system_score_codex":0.00008422506,"about_ca_system_score_gemma":0.000006602878,"threshold_uncertainty_score":0.8515376},"labels":[],"label_agreement":null},{"id":"W4385293499","doi":"10.28924/2291-8639-21-2023-78","title":"Some Aspects of Rectifying Curves on Regular Surfaces Under Different Transformations","year":2023,"lang":"en","type":"article","venue":"International Journal of Analysis and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Invariant (physics); Mathematical analysis; Isometry (Riemannian geometry); Pure mathematics; Transformation (genetics); Geometry; Mathematical physics; Chemistry","score_opus":0.012504961130271271,"score_gpt":0.285222953855654,"score_spread":0.2727179927253827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385293499","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32336026,0.002556879,0.6686854,0.0034738455,0.00009586174,0.00019241124,0.000074080875,0.0001996514,0.0013616302],"genre_scores_gemma":[0.9892947,0.009962117,0.0005506573,0.000047762598,0.000070909875,0.000014285108,0.000025583526,0.00000789551,0.000026061996],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990941,0.000015420928,0.000428745,0.00007591876,0.0003136022,0.00007220922],"domain_scores_gemma":[0.9993905,0.000112372865,0.00016152806,0.000101999736,0.00018620488,0.00004742663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012548159,0.00008342742,0.00024927626,0.0006323254,0.00003606425,0.000019099245,0.00018705161,0.000026096188,0.000019505562],"category_scores_gemma":[0.0000129697655,0.0000675808,0.00020861717,0.0007969967,0.000033398483,0.00016281882,0.000013309017,0.000104035185,0.0000027267356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028640758,0.0003517055,0.0023987202,0.00015666221,0.011161964,0.000007299232,0.0002975297,0.7926991,0.051304467,0.08825635,0.0017318977,0.05160569],"study_design_scores_gemma":[0.0014090921,0.00035112636,0.14635086,0.0010321048,0.006232497,0.000047930924,0.0011818875,0.21051323,0.25920817,0.35403356,0.01840654,0.0012329752],"about_ca_topic_score_codex":0.00000407393,"about_ca_topic_score_gemma":0.000009020243,"teacher_disagreement_score":0.6681347,"about_ca_system_score_codex":0.000039575534,"about_ca_system_score_gemma":0.000006297387,"threshold_uncertainty_score":0.2755865},"labels":[],"label_agreement":null},{"id":"W4385376380","doi":"10.1016/j.cam.2023.115478","title":"Vector subdivision schemes and their convergence for arbitrary matrix masks","year":2023,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subdivision; Mathematics; Subdivision surface; Hermite polynomials; Convergence (economics); Multiresolution analysis; Applied mathematics; Algorithm; Wavelet; Computer science; Mathematical analysis; Wavelet transform; Discrete wavelet transform","score_opus":0.01235674923530874,"score_gpt":0.26146007679843764,"score_spread":0.2491033275631289,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385376380","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25435337,0.00024284457,0.7450346,0.00009081171,0.00002571282,0.00008909815,0.000007765129,0.000082930586,0.000072895455],"genre_scores_gemma":[0.75776505,0.00013182752,0.2420055,0.000015882386,0.000045691202,0.0000056644813,0.000004351121,0.000013569592,0.000012467919],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947,0.0000021554335,0.0002798072,0.000055172895,0.00010927428,0.00008358326],"domain_scores_gemma":[0.9994523,0.00031636283,0.00009482378,0.000033200835,0.00005327287,0.000050061415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011169337,0.00009034283,0.00021096792,0.00008931314,0.000039269962,0.000019147434,0.00005410297,0.000029766872,0.0000042696715],"category_scores_gemma":[0.000015202372,0.000066483866,0.0000443057,0.00013358374,0.000029583378,0.00006234066,0.00002030983,0.00007767942,0.0000018878994],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012792074,0.00026717375,0.00013536846,0.0037057183,0.0009405057,0.000019750221,0.0030323328,0.26673377,0.10752012,0.5383964,0.006870904,0.07225004],"study_design_scores_gemma":[0.00024953918,0.000039130235,0.00019654034,0.000052693264,0.000028801813,0.000035941055,0.0001678008,0.501941,0.009517758,0.4865477,0.0011002059,0.00012285769],"about_ca_topic_score_codex":3.2707053e-8,"about_ca_topic_score_gemma":2.433687e-8,"teacher_disagreement_score":0.50341165,"about_ca_system_score_codex":0.000008563803,"about_ca_system_score_gemma":0.0000069367393,"threshold_uncertainty_score":0.27111334},"labels":[],"label_agreement":null},{"id":"W4385610429","doi":"10.1145/3588432.3591486","title":"Microfacet Theory for Non-Uniform Heightfields","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Canada","funders":"","keywords":"Computer science","score_opus":0.008923784948948183,"score_gpt":0.25341501843707476,"score_spread":0.24449123348812657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385610429","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004942977,0.00001940015,0.9741873,0.00012943214,0.000058486887,0.00013758501,0.000005755827,0.0020805066,0.018438539],"genre_scores_gemma":[0.8407625,0.0002488975,0.1437473,0.00038036396,0.00013377225,0.0002421244,0.00005420209,0.00008320504,0.014347633],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99956197,0.0000026871155,0.00010745909,0.000093686445,0.00004604032,0.00018818096],"domain_scores_gemma":[0.9997023,0.00008680312,0.000007665504,0.00015143487,0.000016516544,0.000035314064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009171668,0.00008304758,0.00011754213,0.00007543588,0.000030289884,0.000008774311,0.00010700964,0.00005444918,0.000108892484],"category_scores_gemma":[0.000015976637,0.000067625064,0.000075345575,0.0002774517,0.00001265037,0.00006412768,0.000022270915,0.000059738828,0.00014753145],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043001364,0.000049592363,0.00017427102,0.00030702364,0.0003957303,0.000012600371,0.00044612738,0.025374372,0.21429451,0.07126769,0.44668266,0.24095242],"study_design_scores_gemma":[0.0002548773,0.00006903437,0.0001339526,0.00001370106,0.000030679475,0.0000015389396,0.00019296943,0.25323203,0.43683398,0.13085961,0.17794597,0.0004316306],"about_ca_topic_score_codex":0.0000015721288,"about_ca_topic_score_gemma":0.0000025987451,"teacher_disagreement_score":0.83581954,"about_ca_system_score_codex":0.000017215967,"about_ca_system_score_gemma":0.0000020410941,"threshold_uncertainty_score":0.275767},"labels":[],"label_agreement":null},{"id":"W4385766259","doi":"10.1111/cgf.14901","title":"Singularity‐Free Frame Fields for Line Drawing Vectorization","year":2023,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Masason Foundation","keywords":"Computer science; Topology (electrical circuits); Tangent; Field (mathematics); Vectorization (mathematics); Singularity; Frame (networking); Curvature; Line (geometry); Parallel transport; Gravitational singularity; Algorithm; Mathematics; Geometry; Mathematical analysis; Pure mathematics","score_opus":0.013282483124769623,"score_gpt":0.25169247162550173,"score_spread":0.2384099885007321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385766259","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003194619,0.00006346148,0.99353915,0.00041498107,0.0004611897,0.00015972216,0.00001036382,0.0020988684,0.000057636582],"genre_scores_gemma":[0.8588172,0.000111328736,0.13967136,0.0005182932,0.0005011643,0.00007001782,0.00017537754,0.00008193105,0.00005329612],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991795,0.000008182697,0.0002028731,0.00018621831,0.0001235585,0.00029968825],"domain_scores_gemma":[0.99941623,0.00011435887,0.00002680162,0.00032591363,0.00006294869,0.00005372896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008993845,0.00013798616,0.00018393411,0.00024155405,0.000103075145,0.000043442644,0.00024931395,0.00013278045,0.0000028698778],"category_scores_gemma":[0.000039353163,0.00014608906,0.00014037223,0.00087815314,0.000024754809,0.00012263507,0.00010749512,0.00017021473,0.00000577414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033161457,0.00015346256,0.0047205007,0.0007436512,0.0006640514,0.0000388233,0.00069926266,0.23828939,0.0040148995,0.4304752,0.12806782,0.1920998],"study_design_scores_gemma":[0.00014537812,0.00006858547,0.00020858351,0.000025874257,0.000016792193,8.9536877e-7,0.000003760234,0.8053542,0.0022348687,0.16897105,0.022775201,0.00019485397],"about_ca_topic_score_codex":0.000004121813,"about_ca_topic_score_gemma":0.000012086387,"teacher_disagreement_score":0.85562265,"about_ca_system_score_codex":0.000020410638,"about_ca_system_score_gemma":0.0000043221257,"threshold_uncertainty_score":0.59573394},"labels":[],"label_agreement":null},{"id":"W4385852420","doi":"10.1016/j.enganabound.2023.08.001","title":"Polyharmonic splines interpolation on scattered data in 2D and 3D with applications","year":2023,"lang":"en","type":"article","venue":"Engineering Analysis with Boundary Elements","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; National University of Mongolia; Simons Foundation","keywords":"Radial basis function; Interpolation (computer graphics); Mathematics; Polynomial basis; Polyharmonic spline; Basis function; Basis (linear algebra); Polynomial; Applied mathematics; Polynomial interpolation; Algorithm; Gaussian; Benchmark (surveying); Thin plate spline; Data point; Mathematical optimization; Spline interpolation; Linear interpolation; Mathematical analysis; Nearest-neighbor interpolation; Computer science; Geometry; Artificial intelligence; Image (mathematics); Bilinear interpolation; Statistics","score_opus":0.011094586441460426,"score_gpt":0.2576212798848274,"score_spread":0.246526693443367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385852420","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2727143,0.00020105997,0.7254597,0.00007707798,0.000015402355,0.0003124672,0.00006095019,0.0010760252,0.00008302685],"genre_scores_gemma":[0.972933,0.00011525895,0.025963088,0.000019783964,0.000030199359,0.00014978905,0.0006888157,0.000049904796,0.00005017866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987398,0.000010822794,0.00030919525,0.00041053747,0.00024217779,0.00028750306],"domain_scores_gemma":[0.9991327,0.00005009455,0.000049983595,0.0006674061,0.000026890184,0.000072904295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001645008,0.000230048,0.0003213404,0.00095975556,0.00006168409,0.000071578426,0.00025695,0.000038034752,0.000015943655],"category_scores_gemma":[0.000010539713,0.0001959751,0.000027410037,0.003524648,0.00003219988,0.0002504925,0.0000804617,0.0001872705,0.000013923013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003976377,0.0000621945,0.09658039,0.000099263794,0.0021762082,0.000020060403,0.00012047739,0.8816307,0.0016697863,0.000059613903,0.00013607126,0.017405478],"study_design_scores_gemma":[0.00026072928,0.000053539745,0.028229171,0.000057377285,0.0003565454,0.000001474532,0.000036635003,0.967376,0.00018219932,0.000018188355,0.0031391836,0.00028895366],"about_ca_topic_score_codex":0.000030100624,"about_ca_topic_score_gemma":0.00013991704,"teacher_disagreement_score":0.7002187,"about_ca_system_score_codex":0.000076428,"about_ca_system_score_gemma":0.0000109566845,"threshold_uncertainty_score":0.7991632},"labels":[],"label_agreement":null},{"id":"W4386716634","doi":"10.1007/978-3-031-42505-9_45","title":"Learning Bezier-Durrmeyer Type Descriptors for Classifying Curves – Preliminary Studies","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Bézier curve; Computer science; Artificial intelligence; Algorithm; Data point; Mathematics; Differential geometry of curves; Pattern recognition (psychology); Family of curves; Curve fitting; Classifier (UML); Lissajous curve; Noise (video); Machine learning; Geometry; Mathematical analysis; Differential equation; Image (mathematics)","score_opus":0.048120156709018584,"score_gpt":0.30215318189932183,"score_spread":0.25403302519030324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386716634","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011251552,0.0060937135,0.9907403,0.00014731876,0.0011015955,0.00037169072,0.0000033616036,0.0010835157,0.00034599987],"genre_scores_gemma":[0.23254167,0.0125138005,0.7465857,0.0011663416,0.001314739,0.0001942369,0.000060792227,0.0005563347,0.0050663645],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99801546,0.00001301137,0.00035636773,0.000693175,0.00042493345,0.0004970314],"domain_scores_gemma":[0.9985282,0.000709527,0.00011222973,0.00036792204,0.00020489808,0.00007724611],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00038886743,0.0004315851,0.00061173673,0.0005321977,0.00018824483,0.00006004258,0.0006220226,0.00020179873,0.000006247162],"category_scores_gemma":[0.00036648643,0.0003940645,0.00014099677,0.00054634747,0.00039837084,0.00021854567,0.00034563182,0.000737815,0.000016383457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015064534,0.0000077147815,0.0001425651,0.0010653622,0.00014025875,0.000033714543,0.00052755274,0.47863242,0.0007228432,0.0003241827,0.0006786532,0.5177097],"study_design_scores_gemma":[0.00026401487,0.0010105179,0.0001577759,0.006828574,0.00018886174,0.000021818227,0.000005698159,0.84788716,0.010163681,0.11828803,0.013009901,0.002173949],"about_ca_topic_score_codex":0.0000015857838,"about_ca_topic_score_gemma":0.000010263396,"teacher_disagreement_score":0.5155357,"about_ca_system_score_codex":0.00030133565,"about_ca_system_score_gemma":0.00004790973,"threshold_uncertainty_score":0.9998511},"labels":[],"label_agreement":null},{"id":"W4387160192","doi":"10.1007/978-3-031-26300-2","title":"Geometric Aspects of Functional Analysis","year":2023,"lang":"en","type":"book","venue":"Lecture notes in mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mathematics; Volume (thermodynamics); Geometric analysis; Applied mathematics; Geometry; Calculus (dental); Mathematical analysis; Orthodontics; Physics","score_opus":0.014530217459787338,"score_gpt":0.24340630860147622,"score_spread":0.2288760911416889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387160192","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000039789073,0.0006127637,0.94991106,0.000011008573,0.00007445619,0.00014781533,0.000032303324,0.00053773355,0.048633084],"genre_scores_gemma":[0.34527406,0.0031082488,0.48950118,0.00017513105,0.0014070363,0.0003362704,0.002196335,0.0017033113,0.15629844],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984241,0.000010759491,0.0006385587,0.00024186191,0.0004515214,0.00023320568],"domain_scores_gemma":[0.9981252,0.0010746517,0.00019129178,0.0004915622,0.00007480245,0.000042473697],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015360313,0.0003399813,0.0010683982,0.002480332,0.00001486686,0.000011314053,0.0002431539,0.00039671196,0.0002260126],"category_scores_gemma":[0.00047528546,0.0003139052,0.00042616125,0.0040634405,0.000052472486,0.0000317534,0.000058748796,0.00054907415,0.000058391754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002175171,0.000058038964,0.0000445095,0.0012804279,0.002190457,0.000023159715,0.00012290513,0.98656183,0.00019154439,0.0028645233,0.0011735588,0.005486845],"study_design_scores_gemma":[0.000086344015,0.000028340955,0.00009248172,0.00021323861,0.001468451,0.0000025186284,0.0000023097275,0.12140684,0.0020658404,0.87323695,0.00088644197,0.00051027007],"about_ca_topic_score_codex":0.0000020732302,"about_ca_topic_score_gemma":0.00005446368,"teacher_disagreement_score":0.8703724,"about_ca_system_score_codex":0.00028285096,"about_ca_system_score_gemma":0.000034382218,"threshold_uncertainty_score":0.9999313},"labels":[],"label_agreement":null},{"id":"W4387682419","doi":"10.1090/gsm/237/08","title":"A short tutorial on numerical spectral geometry","year":2023,"lang":"en","type":"book-chapter","venue":"Graduate studies in mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Geometry; Computer science; Mathematics","score_opus":0.12524336534717523,"score_gpt":0.3366544633118365,"score_spread":0.2114110979646613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387682419","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012406629,0.0019626608,0.021411963,0.0002661645,0.0063106744,0.0019537057,0.00017420194,0.008358319,0.95832163],"genre_scores_gemma":[0.10707267,0.05353014,0.16591735,0.0002059375,0.00861734,0.000916314,0.00023667254,0.003386154,0.66011745],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976997,0.000009937506,0.00080215046,0.0004046921,0.00062956754,0.00045396556],"domain_scores_gemma":[0.99875164,0.0004786843,0.00009098655,0.00054011686,0.000066505716,0.000072068986],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023462519,0.00064187765,0.0013470527,0.00047977202,0.00005409592,0.000018127208,0.00031485097,0.00024587862,0.000021060125],"category_scores_gemma":[0.00023836033,0.00057562,0.00031025812,0.00027264724,0.00018024132,0.000043721582,0.00018600094,0.0009389578,0.00038216135],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006416925,0.00037722904,0.000030311172,0.0055373325,0.007120458,0.0019727396,0.004682198,0.02042131,0.00007539274,0.80988353,0.11011894,0.039716408],"study_design_scores_gemma":[0.00019894348,0.0001748852,0.000017213255,0.0013536573,0.00030498585,0.000014059733,0.0002203158,0.0063034794,0.00019072166,0.9762092,0.013610176,0.0014023441],"about_ca_topic_score_codex":6.515431e-7,"about_ca_topic_score_gemma":0.00000335325,"teacher_disagreement_score":0.2982042,"about_ca_system_score_codex":0.00042955307,"about_ca_system_score_gemma":0.000006964145,"threshold_uncertainty_score":0.99966955},"labels":[],"label_agreement":null},{"id":"W4387682445","doi":"10.1090/gsm/237","title":"Topics in Spectral Geometry","year":2023,"lang":"en","type":"book","venue":"Graduate studies in mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Geometry; Geology; Physics; Computer science; Mathematics","score_opus":0.09309798829660665,"score_gpt":0.33480835777999457,"score_spread":0.24171036948338792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387682445","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007866674,0.01649883,0.014866993,0.00067658955,0.0033081148,0.0027678744,0.00013723718,0.0076495004,0.9462282],"genre_scores_gemma":[0.0016388483,0.037939545,0.06414618,0.000046605444,0.00068498275,0.00043566097,0.000058005684,0.00048958935,0.8945606],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9983015,0.000013317592,0.00072336645,0.00025585952,0.0003088999,0.00039706726],"domain_scores_gemma":[0.999159,0.00028425868,0.00009219803,0.00039368926,0.000038441824,0.000032452022],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002518792,0.00039708623,0.0010481717,0.00060604635,0.000021514676,0.000010791478,0.0002816297,0.00018204414,0.000010231185],"category_scores_gemma":[0.00024859872,0.00037901406,0.00014227792,0.00062442676,0.00012803625,0.000046775276,0.00018458803,0.0007287343,0.000115011266],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014955095,0.0005715948,0.00053738966,0.036990825,0.0043875477,0.0034034625,0.028528122,0.047919966,0.00004718316,0.08533773,0.7519515,0.040309723],"study_design_scores_gemma":[0.00016239514,0.000030073921,0.00006955662,0.0014663177,0.0000793281,0.000005345109,0.00066893536,0.006820143,0.00007342,0.9798411,0.010051409,0.0007319783],"about_ca_topic_score_codex":0.0000012090627,"about_ca_topic_score_gemma":0.000067520996,"teacher_disagreement_score":0.89450336,"about_ca_system_score_codex":0.0006905708,"about_ca_system_score_gemma":0.0000143622665,"threshold_uncertainty_score":0.9998662},"labels":[],"label_agreement":null},{"id":"W4388199254","doi":"10.1007/s11269-023-03631-9","title":"Regional Groundwater Flow Modeling Using Improved Isogeometric Analysis: Application and Implications in Unconfined Aquifer Systems","year":2023,"lang":"en","type":"article","venue":"Water Resources Management","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Institut National de la Recherche Scientifique; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; McGill University","keywords":"Isogeometric analysis; Aquifer; Hydrogeology; Applied mathematics; Benchmark (surveying); Computer science; Boundary (topology); Mathematical optimization; Partial differential equation; Flow (mathematics); Groundwater flow; Mathematics; Geometry; Groundwater; Geology; Mathematical analysis; Geotechnical engineering; Finite element method; Engineering; Structural engineering","score_opus":0.01852588607649777,"score_gpt":0.240634076388972,"score_spread":0.22210819031247422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388199254","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4113333,0.00012784595,0.5874606,0.00008893448,0.000013996856,0.00033675437,0.0000022335967,0.0004793772,0.00015700514],"genre_scores_gemma":[0.9951154,0.00013426706,0.0040244944,0.000027375472,0.000032201242,0.00033356942,0.00010606885,0.000033990673,0.00019264211],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986904,0.000026402751,0.00039718376,0.00037367296,0.0001666014,0.00034571445],"domain_scores_gemma":[0.99949515,0.0000138939995,0.00003277204,0.00037083254,0.000028115875,0.000059210717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024242271,0.00018359027,0.00028163253,0.0017086965,0.00007929697,0.00009034969,0.00017806682,0.00005659093,0.0000055064793],"category_scores_gemma":[0.0000019121712,0.00014870346,0.00007930425,0.0026507678,0.000021356438,0.00012676152,0.00013863514,0.00009255505,0.00001723615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046239393,0.000015358804,0.0008060202,0.000085644744,0.00032086053,0.0000021952035,0.00021099715,0.9918597,0.0030409743,0.00008197619,0.000015906253,0.0035557752],"study_design_scores_gemma":[0.0001340066,0.000007668673,0.001109725,0.00001306592,0.00022417198,8.644331e-7,0.00014550776,0.99475265,0.000111824,0.0005609699,0.002741878,0.00019765414],"about_ca_topic_score_codex":0.0002461797,"about_ca_topic_score_gemma":0.000031731084,"teacher_disagreement_score":0.5837821,"about_ca_system_score_codex":0.0001309549,"about_ca_system_score_gemma":6.9145875e-7,"threshold_uncertainty_score":0.6063951},"labels":[],"label_agreement":null},{"id":"W4388288525","doi":"10.5206/mt.v3i3.15082","title":"Dynamic and automated constructions of plane curves","year":2023,"lang":"en","type":"article","venue":"Maple Transactions","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computation; Frame (networking); Computer science; Plane (geometry); Dialog box; Software; Symbolic computation; Plane curve; Symbolic-numeric computation; Computer graphics (images); Theoretical computer science; Engineering drawing; Programming language; Geometry; Mathematics; Engineering; Mathematical analysis","score_opus":0.005063535687073431,"score_gpt":0.2348088167775576,"score_spread":0.22974528109048417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388288525","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08959129,0.00058784185,0.8966007,0.00041748473,0.00013764006,0.00020469599,0.00027668392,0.011104705,0.001078922],"genre_scores_gemma":[0.9923952,0.001450765,0.005948477,0.000007640645,0.0000020227183,0.000024729361,0.000028975295,0.000014371978,0.00012778831],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996296,0.000006793129,0.00013305676,0.00007449842,0.000058810034,0.00009721121],"domain_scores_gemma":[0.99980414,0.000040091996,0.000012227754,0.00009666318,0.000014269708,0.000032619486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000024800314,0.00006477481,0.00012370592,0.0001282496,0.000042877742,0.0000032768392,0.000037238995,0.00002947431,0.0000925716],"category_scores_gemma":[0.0000034363284,0.00006729684,0.000035149093,0.0005156007,0.000063643696,0.000060939667,0.0000018254113,0.00007272361,0.0000125576935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002189505,0.00018445548,0.00097091164,0.0028692635,0.0012546566,0.000030155628,0.0008990264,0.48124927,0.37091514,0.0009677607,0.013291192,0.12734628],"study_design_scores_gemma":[0.00020735885,0.000034406596,0.0054909755,0.00011615851,0.0001362716,0.000034120985,0.0001998418,0.9737007,0.014861626,0.0011622905,0.0037954256,0.0002607952],"about_ca_topic_score_codex":0.000016446591,"about_ca_topic_score_gemma":0.000037634472,"teacher_disagreement_score":0.90280396,"about_ca_system_score_codex":0.000012863348,"about_ca_system_score_gemma":0.0000031808006,"threshold_uncertainty_score":0.27442855},"labels":[],"label_agreement":null},{"id":"W4388659082","doi":"10.1111/cgf.14979","title":"Balancing Rotation Minimizing Frames with Additional Objectives","year":2023,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; University of Waterloo; Ministry of Advanced Education, Government of Alberta","keywords":"Rotation (mathematics); Tangent; Computer graphics; Computer science; Tangent vector; Frame (networking); Minification; Mathematics; Coordinate system; Algorithm; Computer vision; Mathematical optimization; Artificial intelligence; Geometry","score_opus":0.0059117369533615025,"score_gpt":0.21519849282787212,"score_spread":0.20928675587451062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388659082","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018476712,0.00004535298,0.9785715,0.00012978581,0.000100990546,0.00010374236,0.00005303065,0.0022207678,0.00029814045],"genre_scores_gemma":[0.9098819,0.000059179758,0.08917203,0.00021360462,0.00013561496,0.000090151465,0.00037711035,0.000050657967,0.000019755002],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924284,0.000011876499,0.0001403511,0.00017906088,0.00017522337,0.00025067545],"domain_scores_gemma":[0.9995816,0.0001496668,0.000029869221,0.00013850645,0.00005161539,0.000048750386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000043777058,0.0001356266,0.00015012207,0.00027744513,0.0000933576,0.00003218035,0.00010661942,0.000051317664,0.000036291378],"category_scores_gemma":[0.000008684579,0.00012333851,0.00006808064,0.00094603765,0.000045547866,0.00019630836,0.000039389528,0.00015984276,0.000024235951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054816537,0.00013174783,0.02716597,0.00033169775,0.0011710576,0.00015405734,0.001458064,0.4779034,0.0020269246,0.064646475,0.26487422,0.16008158],"study_design_scores_gemma":[0.00016665035,0.000091174574,0.013770696,0.00011646256,0.000018054552,0.000008704054,0.00009695019,0.9537796,0.0012092406,0.020393929,0.009997209,0.00035137124],"about_ca_topic_score_codex":0.0000018869191,"about_ca_topic_score_gemma":0.000008389181,"teacher_disagreement_score":0.89140517,"about_ca_system_score_codex":0.000024870475,"about_ca_system_score_gemma":0.0000062805275,"threshold_uncertainty_score":0.50295985},"labels":[],"label_agreement":null},{"id":"W4388677466","doi":"10.23952/asvao.5.2023.3.07","title":"A new relaxed inertial forward-backward-forward method for solving the convex minimization problem with applications to image inpainting","year":2023,"lang":"en","type":"article","venue":"Applied Set-Valued Analysis and Optimization","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Phayao; National Research Council of Thailand; Chiang Mai University","keywords":"Inpainting; Regular polygon; Image (mathematics); Minification; Inertial frame of reference; Computer science; Computer vision; Mathematical optimization; Convex optimization; Artificial intelligence; Mathematics; Geometry","score_opus":0.008704872741644996,"score_gpt":0.2664840621579366,"score_spread":0.2577791894162916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388677466","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002939901,0.000026580205,0.9968045,0.00038053867,0.0000098498385,0.0013531232,0.000017712955,0.0008340708,0.0002796376],"genre_scores_gemma":[0.043879107,0.00008520187,0.953754,0.00016670168,0.00009837874,0.0012480038,0.0005737791,0.00008247607,0.00011233048],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825513,0.000036231253,0.00053609593,0.00051622605,0.00027958135,0.00037675106],"domain_scores_gemma":[0.9988872,0.00022100055,0.00017220291,0.00038421556,0.0001777315,0.00015767885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052085344,0.00029646835,0.00052875344,0.00055497215,0.00034774293,0.0001643405,0.00021227151,0.00011452365,0.000024622455],"category_scores_gemma":[0.000057716625,0.00022724312,0.00015963211,0.004859996,0.0000370634,0.00018421341,0.00007288419,0.00014239724,0.000007343335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002949857,0.000008059551,0.000054294876,0.00004019574,0.00055451994,1.9581617e-7,0.00047439712,0.97815293,0.0025108508,0.0011933144,0.00060714094,0.0163746],"study_design_scores_gemma":[0.0003535076,0.000033173736,0.00008009838,0.000012245427,0.0013133258,5.8979134e-7,0.00030131126,0.99218476,0.0032471977,0.0009961313,0.0011573535,0.00032027758],"about_ca_topic_score_codex":0.000048327565,"about_ca_topic_score_gemma":0.000057702757,"teacher_disagreement_score":0.043585118,"about_ca_system_score_codex":0.00007222147,"about_ca_system_score_gemma":0.000023092462,"threshold_uncertainty_score":0.92667055},"labels":[],"label_agreement":null},{"id":"W4389110612","doi":"10.2139/ssrn.4632396","title":"Adaptive P-Splines for Challenging Filtering Problems in Biomechanics","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Biomechanics; Computer science; Medicine; Anatomy","score_opus":0.0315312108618803,"score_gpt":0.27164968649187454,"score_spread":0.24011847562999425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389110612","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0033507135,0.00533009,0.9893605,0.00017064184,0.00038773616,0.00051897654,0.000017934743,0.00082220003,0.00004120143],"genre_scores_gemma":[0.94401586,0.043412533,0.011013662,0.000010556106,0.0005407289,0.00044230837,0.00003951612,0.00028041398,0.0002444428],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99626184,0.000028766131,0.00065068185,0.00040628042,0.00022153897,0.0024309158],"domain_scores_gemma":[0.999289,0.000085787695,0.00018677494,0.00027755575,0.00008708347,0.00007383143],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0010986242,0.0004271726,0.0006095205,0.0006882525,0.00008318446,0.00005515564,0.00051729823,0.00030570076,0.0000028075515],"category_scores_gemma":[0.00005817262,0.00043627626,0.00031732605,0.00040002854,0.000017448761,0.00012864286,0.00024152883,0.003858121,0.00000785621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025848927,0.00004930381,0.000018146033,0.00040786865,0.0007802825,0.000009971763,0.00025630085,0.916996,0.005119821,0.011835733,0.000055406283,0.06444531],"study_design_scores_gemma":[0.00020406336,0.0001092504,0.000003831774,0.000352318,0.00004390338,0.000025021947,0.00031158334,0.39387998,0.0008501646,0.6034992,0.00029619221,0.0004244768],"about_ca_topic_score_codex":0.000033504246,"about_ca_topic_score_gemma":0.00057774055,"teacher_disagreement_score":0.9783468,"about_ca_system_score_codex":0.0020871335,"about_ca_system_score_gemma":0.00029223753,"threshold_uncertainty_score":0.9998089},"labels":[],"label_agreement":null},{"id":"W4389200629","doi":"10.3233/atde230901","title":"Compliance Induced Deformation Prediction of Parallel Kinematic Machine","year":2023,"lang":"en","type":"book-chapter","venue":"Advances in transdisciplinary engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Queen's University; Queen's University Belfast; European Commission","keywords":"Kinematics; Stiffness; Flexibility (engineering); Compliance (psychology); Machine tool; Computer science; Deformation (meteorology); Quality (philosophy); Motion (physics); Mechanical engineering; Engineering; Structural engineering; Artificial intelligence; Materials science; Mathematics; Physics","score_opus":0.023907143174280335,"score_gpt":0.25741691823341206,"score_spread":0.23350977505913173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389200629","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021146797,0.012069739,0.9118803,0.000047507816,0.0010908573,0.0014668633,0.00043285388,0.0044336906,0.066463515],"genre_scores_gemma":[0.89684826,0.026880812,0.06754898,0.000009998274,0.0002799691,0.00044626975,0.0009959107,0.0008469161,0.006142849],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99804306,0.000005966692,0.0009898657,0.0003151972,0.00032723532,0.00031865772],"domain_scores_gemma":[0.99925524,0.00010721881,0.00014355541,0.00038343505,0.00004066022,0.000069917696],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012683925,0.0005006917,0.0007891156,0.0005724129,0.00002987501,0.000007799943,0.0002973978,0.00027031061,0.000025663969],"category_scores_gemma":[0.000012215283,0.0005354093,0.0001907117,0.00028848462,0.000041749823,0.0005733146,0.00004563135,0.0006393368,0.000021285769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012873546,0.000013192706,0.000013080242,0.0022914214,0.000063637,0.000015832606,0.0003296622,0.98719823,0.0012749886,0.0028386298,0.0000063759717,0.0059420834],"study_design_scores_gemma":[0.00042138193,0.00013282865,0.00036045545,0.0033461603,0.000099341276,0.000013136084,0.000035888923,0.97542423,0.0007727141,0.017346146,0.0012905258,0.00075721275],"about_ca_topic_score_codex":9.5359457e-7,"about_ca_topic_score_gemma":0.0000129590335,"teacher_disagreement_score":0.8947336,"about_ca_system_score_codex":0.00017164715,"about_ca_system_score_gemma":0.0000075596213,"threshold_uncertainty_score":0.9997097},"labels":[],"label_agreement":null},{"id":"W4389539486","doi":"10.1145/3610548.3618170","title":"Constructive Solid Geometry on Neural Signed Distance Fields","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Canada; University of Toronto","funders":"Army Research Office; Air Force Office of Scientific Research; Canada Research Chairs; Adobe Systems; National Science Foundation","keywords":"Signed distance function; Computer science; Parameterized complexity; Artificial neural network; Leverage (statistics); Distance measures; Algorithm; Representation (politics); Artificial intelligence; Mathematics; Theoretical computer science","score_opus":0.007925311180863787,"score_gpt":0.2563018241181447,"score_spread":0.24837651293728094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389539486","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16912961,0.000038679344,0.79288423,0.00027354658,0.00026567816,0.00014413254,0.000012342931,0.005452229,0.031799573],"genre_scores_gemma":[0.99579567,0.000019063846,0.0033951364,0.0001271449,0.000035085268,0.000016715,0.0000065411614,0.000017650567,0.0005870218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943537,0.000006915499,0.000121444806,0.00013599724,0.00010750794,0.00019277218],"domain_scores_gemma":[0.9996688,0.00009314396,0.0000123477075,0.00016308927,0.000016174443,0.000046479596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000026837286,0.00010376421,0.00014814032,0.00010887129,0.000030631036,0.000011068495,0.00009783885,0.00004859934,0.00013914566],"category_scores_gemma":[0.000031975767,0.000089586094,0.000056593566,0.00064091175,0.00003527208,0.000071944894,0.000022993203,0.00012685511,0.00013529412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008494098,0.000091112815,0.002788546,0.00015184868,0.00042900225,0.00020451254,0.00036111462,0.63516426,0.030832019,0.040001504,0.070632406,0.2192587],"study_design_scores_gemma":[0.0003040835,0.00019019723,0.0022007064,0.000028682416,0.000027021068,0.0000050345852,0.00024204841,0.8499889,0.11640254,0.023580266,0.006290217,0.0007403277],"about_ca_topic_score_codex":0.0000032693497,"about_ca_topic_score_gemma":0.0000041734443,"teacher_disagreement_score":0.82666606,"about_ca_system_score_codex":0.000030453863,"about_ca_system_score_gemma":0.000001551419,"threshold_uncertainty_score":0.3653215},"labels":[],"label_agreement":null},{"id":"W4389579579","doi":"10.1142/s0218196723500686","title":"Detecting similarities of rational plane curves using complex differential invariants","year":2023,"lang":"en","type":"article","venue":"International Journal of Algebra and Computation","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Pure mathematics; Plane curve; Differential (mechanical device); Plane (geometry); Complex plane; Differential geometry of curves; Mathematical analysis; Algebra over a field; Geometry; Differential equation; Ordinary differential equation","score_opus":0.031824736434836624,"score_gpt":0.3008329964118779,"score_spread":0.26900825997704125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389579579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61624765,0.000078111385,0.3833206,0.00010193828,0.00015786353,0.000023135997,0.000007752668,0.00003851542,0.000024422794],"genre_scores_gemma":[0.9920747,0.00020290248,0.007529823,0.00003867285,0.000115498435,5.545714e-7,0.000027625892,0.000008262601,0.000001945847],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991932,0.00002322408,0.00036791764,0.00005195556,0.0003001674,0.0000635449],"domain_scores_gemma":[0.9994248,0.00012800843,0.00017063813,0.000022346076,0.0002270322,0.00002718468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009940182,0.00006870166,0.0001542771,0.00024189414,0.000025749283,0.000023484015,0.00009659661,0.000023995768,0.000023213614],"category_scores_gemma":[0.000050170787,0.00006609605,0.00005029559,0.00013486261,0.000029421088,0.00021263005,0.000028100858,0.00008470963,6.370902e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017030464,0.000114502756,0.0077356906,0.00036106887,0.0013660665,0.00009341934,0.0008882118,0.65938294,0.23679172,0.002699441,0.0018556294,0.08854099],"study_design_scores_gemma":[0.00045444147,0.000071470015,0.03247271,0.0003363674,0.00005065826,0.00011898914,0.00012889276,0.938987,0.0109748505,0.016214607,0.000050666185,0.00013935257],"about_ca_topic_score_codex":0.0000046194855,"about_ca_topic_score_gemma":0.0000015678521,"teacher_disagreement_score":0.37582704,"about_ca_system_score_codex":0.000028368057,"about_ca_system_score_gemma":0.000011533332,"threshold_uncertainty_score":0.26953188},"labels":[],"label_agreement":null},{"id":"W4390848558","doi":"10.1016/j.enganabound.2024.01.006","title":"Corrigendum to “Polyharmonic splines interpolation on scattered data in 2D and 3D with applications” [Engineering Analysis with Boundary Elements 156 (2023) 240-250]","year":2024,"lang":"en","type":"erratum","venue":"Engineering Analysis with Boundary Elements","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Interpolation (computer graphics); Boundary (topology); Spline (mechanical); Mathematics; Polyharmonic spline; Mathematical analysis; Spline interpolation; Applied mathematics; Calculus (dental); Thin plate spline; Computer science; Statistics; Physics; Orthodontics; Computer graphics (images); Medicine; Thermodynamics; Bilinear interpolation","score_opus":0.010686727085718998,"score_gpt":0.2528629978598433,"score_spread":0.2421762707741243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390848558","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0091680745,0.0045961495,0.9795327,0.00014633118,0.0010807945,0.0019458598,0.0012742035,0.0018587774,0.0003971086],"genre_scores_gemma":[0.61995643,0.0024892488,0.29698235,0.000395418,0.0019641614,0.0046358705,0.05062037,0.0021457023,0.02081048],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99327165,0.00005031815,0.0016604532,0.0023325307,0.0014253099,0.0012597436],"domain_scores_gemma":[0.9961355,0.00007787785,0.00039549073,0.002707804,0.00020732089,0.00047606014],"candidate_categories":["metaepi_narrow"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0005578279,0.0016788315,0.0023256405,0.0064056036,0.00021685244,0.0007781202,0.0012991512,0.00038045904,0.00012348832],"category_scores_gemma":[0.000038621365,0.0014589147,0.000274784,0.013473941,0.00010708577,0.00064964395,0.00047197702,0.0019260284,0.000042602678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027726952,0.0002997151,0.024812018,0.0016062832,0.060277548,0.00024374593,0.00030839076,0.88239396,0.0003076885,0.000029860375,0.022622144,0.0068213856],"study_design_scores_gemma":[0.0005446459,0.0003545674,0.0049975226,0.0010000133,0.015868068,0.000010539097,0.00006813731,0.8231251,0.00006413991,0.000009096966,0.1520026,0.0019555348],"about_ca_topic_score_codex":0.00023710182,"about_ca_topic_score_gemma":0.002054282,"teacher_disagreement_score":0.6825504,"about_ca_system_score_codex":0.00094959175,"about_ca_system_score_gemma":0.00019216043,"threshold_uncertainty_score":0.9995958},"labels":[],"label_agreement":null},{"id":"W4391535881","doi":"10.1007/s00039-024-00660-3","title":"Kaufman and Falconer Estimates for Radial Projections and a Continuum Version of Beck’s Theorem","year":2024,"lang":"en","type":"article","venue":"Geometric and Functional Analysis","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Mathematics; Combinatorics; Hausdorff dimension; Dimension (graph theory); Hausdorff space; Borel set; Planar","score_opus":0.007784067192637425,"score_gpt":0.2263630910537537,"score_spread":0.2185790238611163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391535881","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16140704,0.01694539,0.8204136,0.00013792336,0.00010436745,0.00015991299,0.00011033498,0.00031272278,0.00040874007],"genre_scores_gemma":[0.99434906,0.0005990779,0.0045590666,0.000008636767,0.0000613424,0.000032891327,0.000051525953,0.000012534881,0.00032585062],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993869,0.000005664912,0.00017124115,0.00022309013,0.00010240036,0.00011068268],"domain_scores_gemma":[0.99952954,0.00028914787,0.000018673876,0.00006087367,0.000049063885,0.000052723703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012476642,0.000114281975,0.00026020512,0.0015011323,0.00006702205,0.00004705792,0.000021175054,0.00005494073,0.000041102954],"category_scores_gemma":[0.00005668415,0.00009007859,0.00013235466,0.0027908399,0.00008522256,0.000113006994,0.000025503668,0.000075305805,0.0000017534253],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005007263,0.00032948077,0.10428667,0.0040660524,0.04905713,0.000027320686,0.0010587936,0.036593385,0.025244787,0.045166057,0.034998775,0.6986708],"study_design_scores_gemma":[0.00043824108,0.0002629429,0.03778465,0.000059389437,0.009361298,0.000023852432,0.00023365098,0.90742373,0.0020474424,0.021088574,0.02077876,0.0004974369],"about_ca_topic_score_codex":0.000033163953,"about_ca_topic_score_gemma":0.000012234467,"teacher_disagreement_score":0.87083036,"about_ca_system_score_codex":0.000021064305,"about_ca_system_score_gemma":0.0000052045852,"threshold_uncertainty_score":0.3673298},"labels":[],"label_agreement":null},{"id":"W4391800534","doi":"10.48550/arxiv.2402.06791","title":"On numerical diameters and linear maps","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Engineering and Physical Sciences Research Council; University of Oxford","keywords":"Mathematics; Geology; Geometry","score_opus":0.031123946892401926,"score_gpt":0.18184071967417106,"score_spread":0.15071677278176915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391800534","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34411132,0.00044853875,0.6445602,0.000084379666,0.00043812158,0.00030104647,0.00008099999,0.0028249952,0.007150348],"genre_scores_gemma":[0.9952281,0.0004850082,0.0035502645,0.0000537427,0.00005811188,0.0000015729644,0.000020392483,0.000061299455,0.0005414955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989133,0.000028813185,0.00014209632,0.000621277,0.000057693414,0.0002368585],"domain_scores_gemma":[0.9992548,0.00009768167,0.000035626283,0.00044340012,0.000022776416,0.00014567842],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000050892908,0.00031565968,0.00035873844,0.0002581518,0.000032958065,0.000028610433,0.000261352,0.00023290853,0.000033514785],"category_scores_gemma":[0.000022405957,0.00033892537,0.00018186666,0.00039274766,0.00008088477,0.000048259484,0.00054161454,0.00088921754,0.00014526221],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026962813,0.00003781399,0.00013242636,0.00029328774,0.00031719584,0.00043352818,0.000047215126,0.9684253,0.00012265002,0.02421971,0.0018696344,0.0040743067],"study_design_scores_gemma":[0.00012609913,0.00006560789,0.0000460986,0.00016670028,0.00023482168,0.0000027798453,0.000018824378,0.790175,0.0006318126,0.20407824,0.0038240615,0.0006299574],"about_ca_topic_score_codex":0.000022036375,"about_ca_topic_score_gemma":0.0000026068774,"teacher_disagreement_score":0.6511168,"about_ca_system_score_codex":0.00018012691,"about_ca_system_score_gemma":0.000011459201,"threshold_uncertainty_score":0.9999063},"labels":[],"label_agreement":null},{"id":"W4391969421","doi":"10.1137/22m1526666","title":"Rapid Evaluation of Newtonian Potentials on Planar Domains","year":2024,"lang":"en","type":"article","venue":"SIAM Journal on Scientific Computing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Planar; Geometry; Calculus (dental); Applied mathematics; Mathematical analysis; Computer science","score_opus":0.03140999188863349,"score_gpt":0.3149319861337602,"score_spread":0.28352199424512675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391969421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5505792,0.0024345403,0.4330033,0.00035590553,0.0045322455,0.0002849523,0.000011896317,0.0006793911,0.008118553],"genre_scores_gemma":[0.99417984,0.000025454838,0.0054319683,0.000021060143,0.00023816053,8.610579e-7,0.0000047977624,0.000024470022,0.00007338112],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977978,0.00011756327,0.00049371173,0.00025774934,0.0010743537,0.00025881157],"domain_scores_gemma":[0.99923676,0.0001534673,0.00009977577,0.00023372978,0.00017332267,0.0001029199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029313213,0.00014771821,0.00022513003,0.0006025179,0.00020039726,0.00029316187,0.00023179062,0.000045619858,0.00015250099],"category_scores_gemma":[0.00010869176,0.00012328872,0.0001831946,0.00089693395,0.000065494336,0.00014162924,0.000021648902,0.00037103432,0.00006731064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007718107,0.00004231754,0.000013643412,0.00004595392,0.0001187637,0.000024783782,0.000319164,0.35871974,0.064735316,0.0008340511,0.00499964,0.57013893],"study_design_scores_gemma":[0.000171235,0.000098636556,0.0002620701,0.00054938387,0.0000811537,0.000044212866,0.00006310866,0.9565389,0.021059262,0.0053419527,0.015607256,0.00018280621],"about_ca_topic_score_codex":7.363723e-7,"about_ca_topic_score_gemma":8.041897e-7,"teacher_disagreement_score":0.5978192,"about_ca_system_score_codex":0.00021456095,"about_ca_system_score_gemma":0.000047587884,"threshold_uncertainty_score":0.50275683},"labels":[],"label_agreement":null},{"id":"W4392193898","doi":"10.28924/2291-8639-22-2024-35","title":"Bertrand Offsets of Spacelike Ruled Surfaces With Blaschke Approach","year":2024,"lang":"en","type":"article","venue":"International Journal of Analysis and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Mathematical economics; Calculus (dental); Pure mathematics; Mathematical analysis","score_opus":0.0036608432830851135,"score_gpt":0.24131301805729838,"score_spread":0.23765217477421327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392193898","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08356584,0.0015725902,0.91338235,0.0002504691,0.000017414979,0.000055543092,0.000023011562,0.000044866967,0.00108793],"genre_scores_gemma":[0.9758788,0.00093911146,0.02301667,0.000009113934,0.00006384218,0.000010601168,0.000015497013,0.000009976439,0.000056417164],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919766,0.000009523826,0.00034610074,0.000101748745,0.00028209816,0.00006286924],"domain_scores_gemma":[0.9994593,0.00006379753,0.00010185935,0.00009082855,0.00023225299,0.000051958945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000118931406,0.00008951071,0.00025493442,0.00045167035,0.000017870965,0.000054523978,0.00017413484,0.0000294267,0.00002800875],"category_scores_gemma":[0.0000043093564,0.00006400152,0.00016728014,0.00070319214,0.000057406083,0.00015880734,0.0000141419805,0.00011643393,0.0000011528659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016061848,0.00074913993,0.023334505,0.000332187,0.051909246,0.000051727606,0.000944801,0.6370906,0.069225386,0.026278922,0.0021386025,0.18778424],"study_design_scores_gemma":[0.0010514307,0.00025229435,0.022671312,0.00029096848,0.009134934,0.0002570843,0.0006163337,0.8110004,0.043057304,0.0110589685,0.09971816,0.00089077523],"about_ca_topic_score_codex":0.0000150730075,"about_ca_topic_score_gemma":0.00001080602,"teacher_disagreement_score":0.89231294,"about_ca_system_score_codex":0.00002492042,"about_ca_system_score_gemma":0.000012495791,"threshold_uncertainty_score":0.26099062},"labels":[],"label_agreement":null},{"id":"W4392444730","doi":"","title":"Interior Point ans Quasi-Newton Methods","year":2002,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Interior point method; Point (geometry); Mathematics; Applied mathematics; Mathematical optimization; Geometry","score_opus":0.01711241299203364,"score_gpt":0.27715985279578753,"score_spread":0.2600474398037539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392444730","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043951143,0.005085633,0.91782355,0.016606493,0.00043132677,0.0005581078,0.00007426182,0.0013177763,0.053707708],"genre_scores_gemma":[0.06703842,0.005730105,0.87790906,0.00012744912,0.0000696395,0.00020701303,0.00025238591,0.0002079901,0.048457928],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9860566,0.009717887,0.001418822,0.0013951684,0.0005406158,0.0008708572],"domain_scores_gemma":[0.99067897,0.0026056275,0.00070074585,0.0037393468,0.001794713,0.0004805925],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006485162,0.0009189283,0.0012178136,0.0004173077,0.0003567662,0.00040454295,0.0021534855,0.0007137048,0.0022357085],"category_scores_gemma":[0.0025146524,0.0010479044,0.00080975174,0.0010633823,0.00050982984,0.00036146745,0.0019201227,0.0018291491,0.00036018767],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014235731,0.0010934334,0.00053277746,0.0006607229,0.0005527794,0.000023448598,0.011953626,0.0015350546,0.038680945,0.11233637,0.0035966842,0.8290199],"study_design_scores_gemma":[0.00045832057,0.0000018615449,0.0006340489,0.0036705453,0.00027742924,0.000038674145,0.00023374996,0.2438901,0.39628896,0.025219575,0.32770196,0.0015847705],"about_ca_topic_score_codex":0.0024739094,"about_ca_topic_score_gemma":0.0009866055,"teacher_disagreement_score":0.82743514,"about_ca_system_score_codex":0.00077189144,"about_ca_system_score_gemma":0.0000843663,"threshold_uncertainty_score":0.9991971},"labels":[],"label_agreement":null},{"id":"W4392733044","doi":"10.1017/9781108874144.019","title":"Integration on manifolds","year":2024,"lang":"en","type":"other","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mathematics; Geology; Computer science","score_opus":0.006593812601103409,"score_gpt":0.2445034901020801,"score_spread":0.2379096775009767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392733044","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[1.19399e-7,0.00033628548,0.14818586,0.000015508995,0.00010645257,0.000046003737,0.0000035776418,0.0045892363,0.84671694],"genre_scores_gemma":[0.00059470406,0.00019938555,0.010557963,0.000048286314,0.00014829416,0.000018812829,0.000015069019,0.0005266526,0.98789084],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99967885,0.0000021738024,0.00006856973,0.00011593235,0.000068548165,0.00006592719],"domain_scores_gemma":[0.9998199,0.0000034637662,0.000007754247,0.00014881663,0.0000023458633,0.000017770151],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000009685932,0.00013135765,0.0001245523,0.00017920684,0.000001840397,0.00001148691,0.000058256614,0.00011892604,0.0033387172],"category_scores_gemma":[0.0000021299784,0.000098127544,0.000053305856,0.000110768764,0.0000053973017,0.000008973252,0.0000078790345,0.00013692146,0.0040982515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[1.350965e-7,0.0000022035895,3.435484e-8,0.000027881295,0.000029992272,0.000003125437,0.0000017841834,0.00002504304,0.00014015846,0.004941151,0.98146415,0.013364355],"study_design_scores_gemma":[0.0000069103867,0.000010452814,1.8379373e-7,0.000120939316,0.00001723179,3.3873266e-7,0.0000020698856,0.001789538,0.0016225291,0.0025706915,0.993732,0.0001271608],"about_ca_topic_score_codex":0.000014070441,"about_ca_topic_score_gemma":0.00003639506,"teacher_disagreement_score":0.14117388,"about_ca_system_score_codex":0.000036302135,"about_ca_system_score_gemma":7.0287683e-7,"threshold_uncertainty_score":0.99757236},"labels":[],"label_agreement":null},{"id":"W4392970340","doi":"10.20382/jocg.v16i2a8","title":"Computing Shortest Closed Curves on Non-Orientable Surfaces","year":2024,"lang":"en","type":"preprint","venue":"Journal of Computational Geometry (Carleton University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Agence Nationale de la Recherche; Centre National de la Recherche Scientifique; Grantová Agentura České Republiky; Univerzita Karlova v Praze","keywords":"Computer science; Mathematics; Combinatorics","score_opus":0.008206478363680299,"score_gpt":0.23055012333275918,"score_spread":0.22234364496907888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392970340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58573174,0.0032877063,0.39672688,0.00048217128,0.0018065338,0.00032807197,0.00011988253,0.00054755586,0.01096942],"genre_scores_gemma":[0.97853994,0.0007123001,0.019941444,0.00010142968,0.0002647996,1.8521526e-7,0.000057885125,0.000053133797,0.00032885413],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99802107,0.000057181052,0.0006095532,0.00030312713,0.00074452127,0.00026457963],"domain_scores_gemma":[0.99839085,0.00037688322,0.00039058784,0.00019463833,0.00046974886,0.0001772784],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027052243,0.00037126732,0.0007480463,0.0018155099,0.00007854622,0.00007953777,0.0005814732,0.00019963832,0.000050697086],"category_scores_gemma":[0.00004320005,0.00038966126,0.000478546,0.0014899812,0.00007141393,0.00016991278,0.0004237455,0.0015461183,0.000022477654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021615851,0.00006031191,0.0002425111,0.00042896587,0.00051672163,0.00024445695,0.00004026237,0.9906961,0.000096720985,0.00037953514,0.005078439,0.0021944065],"study_design_scores_gemma":[0.0010623948,0.0006281596,0.0053664865,0.008651368,0.0013231424,0.0001315648,0.0003872434,0.91730464,0.0023171997,0.030018317,0.030948348,0.0018611179],"about_ca_topic_score_codex":0.0000104871315,"about_ca_topic_score_gemma":0.0000014633879,"teacher_disagreement_score":0.3928082,"about_ca_system_score_codex":0.0005574837,"about_ca_system_score_gemma":0.00015607828,"threshold_uncertainty_score":0.9998555},"labels":[],"label_agreement":null},{"id":"W4393009367","doi":"10.1007/978-3-031-40594-5_17","title":"Optimally Convergent Isoparametric $$P^2$$ Mesh Generation","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computational science and engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Mathematics; Computer science","score_opus":0.011390315225152473,"score_gpt":0.2342620888581335,"score_spread":0.22287177363298102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393009367","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005663575,0.0034549912,0.98919725,0.00013589338,0.00036816476,0.00016432193,0.00000886037,0.00046415738,0.0056400034],"genre_scores_gemma":[0.9232385,0.00043061379,0.075522184,0.00009015054,0.00025110686,0.000019104073,0.00003797021,0.000072946794,0.00033741593],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986833,0.0000013802552,0.00026616512,0.00037092413,0.00045216372,0.0002260872],"domain_scores_gemma":[0.99957246,0.0001201535,0.000025413947,0.00010548638,0.00009292782,0.00008357102],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017048787,0.00026616288,0.00024705412,0.00079207,0.000046125515,0.00009861544,0.00015771424,0.00013239795,0.000031781914],"category_scores_gemma":[0.000078088924,0.00026215246,0.000050075196,0.0005455626,0.000092618466,0.0001530846,0.000064288986,0.00039415035,0.000017457198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[4.5058195e-7,0.0000015520352,0.0000020881848,0.000048878865,0.000016299573,0.000009633895,0.000024203415,0.9710134,0.0011286457,0.016523505,0.000026114216,0.011205184],"study_design_scores_gemma":[0.00003269281,0.000016598115,0.000020000389,0.00007773224,0.000017092314,0.000011694309,2.161416e-7,0.96389014,0.0005462871,0.032509103,0.0025932228,0.00028521213],"about_ca_topic_score_codex":0.0000024209448,"about_ca_topic_score_gemma":0.000004727125,"teacher_disagreement_score":0.92267215,"about_ca_system_score_codex":0.00031990834,"about_ca_system_score_gemma":0.000042665673,"threshold_uncertainty_score":0.9999831},"labels":[],"label_agreement":null},{"id":"W4393042598","doi":"10.1145/3652025","title":"Fast Multivariate Multipoint Evaluation over All Finite Fields","year":2024,"lang":"en","type":"article","venue":"Journal of the ACM","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Indian Institute of Technology Bombay; Department of Atomic Energy, Government of India","keywords":"Multivariate statistics; Computer science; Multivariate analysis; Algorithm; Machine learning","score_opus":0.024564626030071327,"score_gpt":0.31751539507081744,"score_spread":0.29295076904074613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393042598","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29566345,0.00485226,0.6834801,0.009233495,0.0034407338,0.0005062698,0.0000118141,0.0005473838,0.0022644897],"genre_scores_gemma":[0.9813684,0.000081337574,0.018140862,0.00012248856,0.00018792537,0.0000033098027,4.257276e-7,0.000015824022,0.0000793959],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992803,0.000039319588,0.0002585596,0.000056719495,0.00027236197,0.00009276316],"domain_scores_gemma":[0.99932885,0.00016485811,0.000060635608,0.00035537573,0.000057617606,0.00003263911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034703256,0.00007837384,0.00012328313,0.00007395337,0.000018164958,0.000032908174,0.0004566416,0.00004625845,0.00010797363],"category_scores_gemma":[0.0007513356,0.000046732897,0.00017898479,0.0001664112,0.000011095854,0.00014845864,0.00011085632,0.0003140792,0.000013093878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021629165,0.00003757929,0.00018300417,0.00006381953,0.00053126673,0.000025175468,0.0008174646,0.79483765,0.043497417,0.000086982305,0.0210042,0.13889378],"study_design_scores_gemma":[0.00019127228,0.000035943587,0.0018441832,0.00016543937,0.00018532648,0.000021187243,0.00001676364,0.9439413,0.012840522,0.020997696,0.019648535,0.0001118312],"about_ca_topic_score_codex":0.000005413897,"about_ca_topic_score_gemma":0.000003193975,"teacher_disagreement_score":0.685705,"about_ca_system_score_codex":0.000100563535,"about_ca_system_score_gemma":0.000011787291,"threshold_uncertainty_score":0.19057122},"labels":[],"label_agreement":null},{"id":"W4393365074","doi":"10.4171/ggd/784","title":"Order-detection of slopes on the boundaries of knot manifolds","year":2024,"lang":"en","type":"article","venue":"Groups Geometry and Dynamics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Knot (papermaking); Mathematics; Geology; Pure mathematics; Geometry; Engineering","score_opus":0.005191910244956825,"score_gpt":0.21029556499942312,"score_spread":0.2051036547544663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393365074","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45447493,0.0009645862,0.54298323,0.00007491839,0.00011524458,0.00006414557,0.000023033197,0.00021751791,0.0010823878],"genre_scores_gemma":[0.99843836,0.00025479266,0.0011914966,0.000011302996,0.000019464767,0.0000057653265,0.0000053669114,0.000014192714,0.000059235652],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995408,0.000010213227,0.00016237934,0.00009689208,0.000100993166,0.00008871952],"domain_scores_gemma":[0.9996816,0.00012214696,0.000021925482,0.00013200323,0.00002576909,0.000016579887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000098776516,0.000089491514,0.0001449276,0.00014945878,0.00005043248,0.00003378132,0.00006886061,0.000053279367,0.000014597988],"category_scores_gemma":[0.000037651535,0.000063012994,0.000046364115,0.0007137809,0.00012204104,0.00007602347,0.000026622807,0.00012767901,0.0000019941358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006004731,0.00009007377,0.00076883007,0.0014933919,0.00053891446,0.000010393586,0.00055819296,0.017001523,0.032872792,0.37986213,0.00016627311,0.56657743],"study_design_scores_gemma":[0.00010824445,0.00038017076,0.0021524322,0.00018847008,0.00013201286,0.000013027904,0.00045169733,0.8871228,0.047722805,0.049117345,0.01225552,0.00035543673],"about_ca_topic_score_codex":0.00001782902,"about_ca_topic_score_gemma":0.000031239484,"teacher_disagreement_score":0.8701213,"about_ca_system_score_codex":0.000029749472,"about_ca_system_score_gemma":0.0000042357,"threshold_uncertainty_score":0.25695953},"labels":[],"label_agreement":null},{"id":"W4393559686","doi":"10.5281/zenodo.10264316","title":"Laval - Square Foch","year":2021,"lang":"fr","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Square (algebra); Mathematics; Geometry","score_opus":0.02294985173184502,"score_gpt":0.25234636944271094,"score_spread":0.22939651771086592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393559686","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022818746,0.002823886,0.072970055,0.001578675,0.000564637,0.00095290085,0.8818463,0.004563108,0.034472253],"genre_scores_gemma":[0.0010653985,0.0031550806,0.004581593,0.00013056258,0.0006170901,1.2574517e-7,0.984648,0.0042817644,0.0015203822],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963252,0.0005684583,0.0006395307,0.0009176632,0.0007238079,0.0008253154],"domain_scores_gemma":[0.9971165,0.00006190075,0.00018974507,0.0013582059,0.00086745323,0.00040621217],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00047764694,0.0005218125,0.00061148294,0.00042711216,0.0018846613,0.00112405,0.0019805736,0.00037072913,0.057325188],"category_scores_gemma":[0.001077801,0.0006212384,0.0002589698,0.0015546782,0.00027915402,0.00034990808,0.0026352818,0.0013089733,0.037977014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016836257,0.000193595,3.1803413e-7,0.0004950243,0.00020434229,0.00014415332,0.00012888089,0.0008977151,0.0016033355,0.0006276958,0.9221883,0.07349983],"study_design_scores_gemma":[0.0002539844,0.00020397095,0.000024430885,0.00023395562,0.00013347347,0.00019141253,0.00015832107,0.00095083355,0.0011616761,0.00026574492,0.9958065,0.00061570655],"about_ca_topic_score_codex":0.000083993255,"about_ca_topic_score_gemma":0.0000025414531,"teacher_disagreement_score":0.1028017,"about_ca_system_score_codex":0.0006650816,"about_ca_system_score_gemma":0.000006822087,"threshold_uncertainty_score":0.99991286},"labels":[],"label_agreement":null},{"id":"W4393702284","doi":"10.5281/zenodo.10264315","title":"Laval - Square Foch","year":2021,"lang":"fr","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Square (algebra); Mathematics; Geometry","score_opus":0.02294985173184502,"score_gpt":0.25234636944271094,"score_spread":0.22939651771086592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393702284","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022818746,0.002823886,0.072970055,0.001578675,0.000564637,0.00095290085,0.8818463,0.004563108,0.034472253],"genre_scores_gemma":[0.0010653985,0.0031550806,0.004581593,0.00013056258,0.0006170901,1.2574517e-7,0.984648,0.0042817644,0.0015203822],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963252,0.0005684583,0.0006395307,0.0009176632,0.0007238079,0.0008253154],"domain_scores_gemma":[0.9971165,0.00006190075,0.00018974507,0.0013582059,0.00086745323,0.00040621217],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00047764694,0.0005218125,0.00061148294,0.00042711216,0.0018846613,0.00112405,0.0019805736,0.00037072913,0.057325188],"category_scores_gemma":[0.001077801,0.0006212384,0.0002589698,0.0015546782,0.00027915402,0.00034990808,0.0026352818,0.0013089733,0.037977014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016836257,0.000193595,3.1803413e-7,0.0004950243,0.00020434229,0.00014415332,0.00012888089,0.0008977151,0.0016033355,0.0006276958,0.9221883,0.07349983],"study_design_scores_gemma":[0.0002539844,0.00020397095,0.000024430885,0.00023395562,0.00013347347,0.00019141253,0.00015832107,0.00095083355,0.0011616761,0.00026574492,0.9958065,0.00061570655],"about_ca_topic_score_codex":0.000083993255,"about_ca_topic_score_gemma":0.0000025414531,"teacher_disagreement_score":0.1028017,"about_ca_system_score_codex":0.0006650816,"about_ca_system_score_gemma":0.000006822087,"threshold_uncertainty_score":0.99991286},"labels":[],"label_agreement":null},{"id":"W4393872379","doi":"10.37394/23206.2024.23.25","title":"A Survey of De Casteljau Algorithms and Regular Iterative Constructions of Bézier Curves with Control Mass Points","year":2024,"lang":"en","type":"article","venue":"WSEAS TRANSACTIONS ON MATHEMATICS","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Collège Lionel Groulx","funders":"","keywords":"Bézier curve; Mathematics; Algorithm; Computer science; Geometry","score_opus":0.01014773415504935,"score_gpt":0.24644889101198636,"score_spread":0.236301156856937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393872379","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062195305,0.0007649347,0.99220496,0.000056151486,0.00002259016,0.00018072348,0.00024578214,0.00015473006,0.00015059115],"genre_scores_gemma":[0.8475579,0.00034981052,0.15196437,0.000009059416,0.0000044287654,0.0000312252,0.000004105911,0.000029298937,0.000049817932],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993044,0.00004338802,0.00027250033,0.00011631639,0.00014962755,0.000113746995],"domain_scores_gemma":[0.9993268,0.00030738587,0.000040268947,0.0001694615,0.0001023057,0.00005376148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015994297,0.00013276088,0.0003138004,0.00013906554,0.000028173892,0.000012468739,0.000053628704,0.000047285786,0.000040197017],"category_scores_gemma":[0.00001959598,0.00010861233,0.000058500576,0.00039779657,0.00015166066,0.00009899951,9.4677785e-7,0.00016336919,0.000001285403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005028317,0.0033415076,0.002508749,0.054108452,0.02083863,0.00024372811,0.018586967,0.54044,0.11353969,0.024911249,0.001397007,0.21958117],"study_design_scores_gemma":[0.0005729201,0.00032377307,0.00078244996,0.0030676469,0.00072202657,0.00012210665,0.00046054952,0.9342381,0.0504371,0.008755631,0.000089751076,0.00042797407],"about_ca_topic_score_codex":0.000016603686,"about_ca_topic_score_gemma":0.000020689511,"teacher_disagreement_score":0.84133834,"about_ca_system_score_codex":0.00003563645,"about_ca_system_score_gemma":0.000025521516,"threshold_uncertainty_score":0.44290823},"labels":[],"label_agreement":null},{"id":"W4394972123","doi":"10.48550/arxiv.2404.12304","title":"New free boundary minimal annuli of revolution in the 3-sphere","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Boundary (topology); Geometry; Mathematics; Mathematical analysis","score_opus":0.029372297375451585,"score_gpt":0.18266476629083883,"score_spread":0.15329246891538725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394972123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48023528,0.0046449504,0.47962263,0.00022460484,0.00045666963,0.0006359543,0.000102330225,0.0011682233,0.032909364],"genre_scores_gemma":[0.9955075,0.00046676688,0.0032796543,0.000012486512,0.00006909133,0.0000010193173,0.000014101211,0.000027845645,0.00062154833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990812,0.000050113296,0.00021738019,0.0003788161,0.00007969523,0.00019278312],"domain_scores_gemma":[0.9990449,0.00005797712,0.0000680842,0.0007433196,0.000034795215,0.000050938128],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011487451,0.00022241073,0.00031066712,0.00018402562,0.000024041783,0.000020189937,0.0008010445,0.0002183375,0.000065309374],"category_scores_gemma":[0.00002726486,0.00021058552,0.00021120475,0.0007823547,0.00007914745,0.00008767196,0.0005815075,0.00076937256,0.000025614841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007583805,0.00009378287,0.001495733,0.0010934413,0.00037776364,0.0005300175,0.00085668446,0.9171867,0.0006778633,0.035879385,0.03380521,0.007927605],"study_design_scores_gemma":[0.00043397272,0.00009781895,0.002230376,0.0006951816,0.0004912714,0.000006577445,0.00075473025,0.3100203,0.0010893848,0.6710341,0.012267644,0.0008786636],"about_ca_topic_score_codex":0.0003165334,"about_ca_topic_score_gemma":0.00024360647,"teacher_disagreement_score":0.6351547,"about_ca_system_score_codex":0.00021717718,"about_ca_system_score_gemma":0.00006750647,"threshold_uncertainty_score":0.85874283},"labels":[],"label_agreement":null},{"id":"W4395099378","doi":"10.1007/978-3-031-48679-1_3","title":"A Survey on Constructive Methods for the Oberwolfach Problem and Its Variants","year":2023,"lang":"en","type":"book-chapter","venue":"Fields Institute communications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of New Brunswick","funders":"","keywords":"Constructive; Computer science; Mathematics; Programming language","score_opus":0.12942349037959888,"score_gpt":0.3773281734769115,"score_spread":0.24790468309731262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395099378","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000015516791,0.003418117,0.71436006,0.000965608,0.00028939254,0.0013716416,0.0005887952,0.0008035875,0.27820125],"genre_scores_gemma":[0.014434158,0.05001178,0.752967,0.0005686377,0.00019414122,0.0019947183,0.0015900477,0.00037474965,0.17786479],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991813,0.000054718625,0.0003255486,0.00020961624,0.00007993272,0.0001489052],"domain_scores_gemma":[0.9960871,0.0022966517,0.00009623076,0.0013322334,0.00014028748,0.000047524783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003971574,0.00024352268,0.0003377788,0.000112400085,0.00031448476,0.00003363248,0.0008278655,0.00029909515,0.000014858812],"category_scores_gemma":[0.00027256267,0.000199201,0.00010422044,0.00010346011,0.00021310087,0.00008515104,0.00032870698,0.0007349031,0.000019459318],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006790048,0.000010517881,0.0000021974306,0.00005209165,0.0004990214,5.258191e-7,0.00012539337,0.0012900544,0.000017508155,0.8579139,0.0026797114,0.13740228],"study_design_scores_gemma":[0.00025832537,0.00009753761,0.00025106492,0.00036211972,0.0003774679,0.0000061313135,0.000017344788,0.075347476,0.000114638744,0.2862232,0.6361517,0.00079299905],"about_ca_topic_score_codex":0.00004513319,"about_ca_topic_score_gemma":0.0006135628,"teacher_disagreement_score":0.63347197,"about_ca_system_score_codex":0.00005169877,"about_ca_system_score_gemma":0.000028813625,"threshold_uncertainty_score":0.812318},"labels":[],"label_agreement":null},{"id":"W4396213989","doi":"10.1007/978-3-031-55564-0_2","title":"The Hypergeometric, Supertrigonometric, and Superhyperbolic Functions","year":2024,"lang":"en","type":"book-chapter","venue":"Studies in systems, decision and control","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brandon University","funders":"","keywords":"Lauricella hypergeometric series; Mathematics; Hypergeometric function; Generalized hypergeometric function; Pure mathematics; Hypergeometric function of a matrix argument","score_opus":0.02306320461334801,"score_gpt":0.2727850936852081,"score_spread":0.24972188907186008,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396213989","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004284954,0.93750566,0.006909415,0.00010904264,0.0015356587,0.0006621398,0.00007170639,0.00038015968,0.05239774],"genre_scores_gemma":[0.6233652,0.2564712,0.00009611739,0.00004824017,0.0003525122,0.00026756947,0.0000051749576,0.00012350484,0.1192705],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99822515,0.000018668343,0.0007335035,0.0004326682,0.00031115796,0.0002788269],"domain_scores_gemma":[0.99730617,0.0020762673,0.000051650164,0.0003561586,0.00011955289,0.000090197806],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042066575,0.00041598742,0.0010130393,0.0009804713,0.00020126131,0.000119976525,0.00015535764,0.00021166551,0.0000107498245],"category_scores_gemma":[0.00028215363,0.00026205427,0.00013173808,0.0004415804,0.00023346896,0.00006992084,0.00014385405,0.0004532301,0.00006225946],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014641913,0.000030456098,0.0005829339,0.0010009968,0.004958613,0.00018604181,0.0005024641,0.0011451195,0.000065279055,0.07861077,0.0434863,0.86928463],"study_design_scores_gemma":[0.00043065482,0.00006882346,0.000046812038,0.00042037363,0.00023794943,0.00004126699,0.00069354515,0.0038286683,9.028221e-7,0.010037968,0.9837826,0.00041047344],"about_ca_topic_score_codex":0.000010475046,"about_ca_topic_score_gemma":0.000024135437,"teacher_disagreement_score":0.94029623,"about_ca_system_score_codex":0.00016997177,"about_ca_system_score_gemma":0.0000074742993,"threshold_uncertainty_score":0.9999832},"labels":[],"label_agreement":null},{"id":"W4396626229","doi":"10.1016/j.cagd.2024.102331","title":"The architectural application of shells whose boundaries subtend a constant solid angle","year":2024,"lang":"en","type":"article","venue":"Computer Aided Geometric Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fondation Chalmers; Stiftelsen Chalmers tekniska högskola; Chalmers Tekniska Högskola","keywords":"Quadrilateral; Geometry; Boundary (topology); Constant (computer programming); Surface (topology); Mathematics; Constant curvature; Curvature; Plane (geometry); Mathematical analysis; Physics; Finite element method; Computer science","score_opus":0.01074251067358086,"score_gpt":0.24434823209922052,"score_spread":0.23360572142563965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396626229","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0014558386,0.004991821,0.99199885,0.00007036104,0.00020476774,0.00028667774,0.000008361194,0.00071764446,0.00026570357],"genre_scores_gemma":[0.92636555,0.00011315854,0.073245905,0.000022911003,0.00009817239,0.000054176387,0.0000073515666,0.000031577183,0.00006120108],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988557,0.000046265355,0.00036631196,0.00023422042,0.00022463327,0.00027286133],"domain_scores_gemma":[0.99866605,0.00082402985,0.00004416112,0.00033470886,0.000069583795,0.00006149639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000292717,0.00017692527,0.00026340483,0.00053202745,0.000121762394,0.00023542055,0.00030819108,0.000050894785,0.000008967536],"category_scores_gemma":[0.000045529865,0.00012547593,0.00011784363,0.0027411864,0.00024576805,0.00011177608,0.00006894566,0.00018792147,0.000038308597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010647735,0.000016212713,0.000017986415,0.000074977135,0.0001488722,0.000008747022,0.00011282202,0.04705638,0.0024129848,0.0009809828,0.004069509,0.9450899],"study_design_scores_gemma":[0.00010271124,0.00014714403,0.00014634499,0.000045108438,0.000053535514,0.000022512582,0.000011243118,0.9237331,0.023849864,0.0111171855,0.040510826,0.0002604268],"about_ca_topic_score_codex":0.000009060496,"about_ca_topic_score_gemma":0.0000012039377,"teacher_disagreement_score":0.94482946,"about_ca_system_score_codex":0.00007738992,"about_ca_system_score_gemma":0.000030833875,"threshold_uncertainty_score":0.511676},"labels":[],"label_agreement":null},{"id":"W4396806519","doi":"10.4153/s0008439524000304","title":"Phase retrieval on circles and lines","year":2024,"lang":"en","type":"article","venue":"Canadian Mathematical Bulletin","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Counterexample; Unit circle; Irrational number; Unit disk; Generalization; Unit (ring theory); Combinatorics; Set (abstract data type); Discrete mathematics; Geometry; Mathematical analysis","score_opus":0.009422185649175997,"score_gpt":0.25232728894133033,"score_spread":0.24290510329215434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396806519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.644237,0.008121216,0.18162604,0.029560957,0.00048061353,0.0011327206,0.00023100765,0.0067018215,0.12790863],"genre_scores_gemma":[0.9951745,0.000070314025,0.0036225815,0.0003086647,0.000098077355,0.000011246333,0.0000056174126,0.000045424105,0.0006635255],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993503,0.000008735986,0.00015924378,0.00016120907,0.000092276234,0.00022821862],"domain_scores_gemma":[0.9993651,0.00015042238,0.000004985094,0.00014046462,0.000011672651,0.0003273518],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008377105,0.00012400455,0.00016701446,0.00014816796,0.00003348003,0.00006377769,0.00007487237,0.00006739551,0.0021593557],"category_scores_gemma":[0.0001350287,0.00011046695,0.000045325978,0.00017520988,0.00005645392,0.000020120639,0.000008529939,0.00016472087,0.0025513615],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004191132,0.00027134622,0.000008243435,0.0028137523,0.00044205712,0.0016477794,0.0007735872,0.0005565734,0.0142556755,0.32034466,0.32087082,0.33797362],"study_design_scores_gemma":[0.00027049278,0.00019064626,0.000008811063,0.00046236342,0.00006766074,0.00005198611,0.00004490518,0.06738045,0.008292901,0.10043743,0.8222462,0.0005461716],"about_ca_topic_score_codex":0.000031310876,"about_ca_topic_score_gemma":0.000039493658,"teacher_disagreement_score":0.5013754,"about_ca_system_score_codex":0.00008398431,"about_ca_system_score_gemma":0.000015465632,"threshold_uncertainty_score":0.99875283},"labels":[],"label_agreement":null},{"id":"W4396856365","doi":"10.1016/j.cagd.2024.102345","title":"Investigations of a functional version of a blending surface scheme for regular data interpolation","year":2024,"lang":"en","type":"article","venue":"Computer Aided Geometric Design","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Interpolation (computer graphics); Scheme (mathematics); Surface (topology); Algebra over a field; Algorithm; Applied mathematics; Calculus (dental); Pure mathematics; Geometry; Mathematical analysis; Artificial intelligence; Computer science; Image (mathematics)","score_opus":0.06709639882861404,"score_gpt":0.2779828955608124,"score_spread":0.21088649673219836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396856365","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039420836,0.0008195473,0.9944892,0.00002824807,0.00017832607,0.00020043761,0.000042261527,0.0002773887,0.000022511937],"genre_scores_gemma":[0.40110105,0.000023873803,0.5986721,0.0000047405592,0.000041854193,0.000005763884,0.0001154585,0.00001608173,0.000019079875],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991486,0.000023126768,0.0003222477,0.00022120673,0.00017039762,0.000114401],"domain_scores_gemma":[0.9988736,0.0006123141,0.000053228036,0.0003291665,0.000092184324,0.000039538954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032491365,0.000103914994,0.00020603559,0.0007365289,0.000024043264,0.00001829746,0.00023373937,0.000050847546,0.000019966938],"category_scores_gemma":[0.00012351657,0.00010489046,0.00006905011,0.002456368,0.00003620381,0.00033702003,0.00010315303,0.00008124582,0.000004646752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033653323,0.00006140365,0.00023415782,0.0008428197,0.0004794602,0.000002029402,0.00008175152,0.7694465,0.11961263,0.0016464288,0.05391484,0.05364434],"study_design_scores_gemma":[0.00010573635,0.00007371228,0.00010061268,0.00012863857,0.000048929098,0.0000016092287,0.0000043555874,0.97067887,0.024513042,0.0024866643,0.0017635276,0.00009432184],"about_ca_topic_score_codex":0.000002905335,"about_ca_topic_score_gemma":1.0168441e-7,"teacher_disagreement_score":0.39715895,"about_ca_system_score_codex":0.000053394473,"about_ca_system_score_gemma":0.000026131787,"threshold_uncertainty_score":0.4277309},"labels":[],"label_agreement":null},{"id":"W4399656221","doi":"","title":"Réduction de modèles éléments finis volumiques par des approches volume-coque et volume-poutre ; application aux structures en bois multicouches","year":2024,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Région Hauts-de-France","keywords":"Physics; Volume (thermodynamics); Materials science; Thermodynamics","score_opus":0.010316381755042098,"score_gpt":0.2471228348551922,"score_spread":0.2368064531001501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399656221","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0889444,0.013013079,0.88231343,0.009927458,0.00019264164,0.00052289845,0.00011575353,0.0016440531,0.003326268],"genre_scores_gemma":[0.6937778,0.004461652,0.29117665,0.0000725785,0.00008364673,0.00023979579,0.00031858633,0.00012977232,0.0097395275],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9942177,0.0028669133,0.000771097,0.0009919602,0.00044352686,0.00070880994],"domain_scores_gemma":[0.9961624,0.0010062793,0.0002314826,0.0013077811,0.0009949573,0.00029709438],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027259619,0.00059239886,0.0005304482,0.00032283788,0.00048254282,0.0006204206,0.000861282,0.00047251876,0.00022797359],"category_scores_gemma":[0.0012363096,0.0006695777,0.0003467613,0.0010227564,0.0006968409,0.00092300633,0.00034610424,0.00082416646,0.00012973143],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023359677,0.00072975014,0.011311815,0.0018153255,0.00062425423,0.000014635039,0.02868729,0.008621414,0.06871377,0.12781106,0.0051871976,0.74646014],"study_design_scores_gemma":[0.00022593458,0.0000024912167,0.016447322,0.0015131508,0.0002563618,0.000032395583,0.0004213359,0.6122892,0.22646292,0.053271793,0.08825517,0.0008219399],"about_ca_topic_score_codex":0.0049805664,"about_ca_topic_score_gemma":0.001832996,"teacher_disagreement_score":0.7456382,"about_ca_system_score_codex":0.0008307626,"about_ca_system_score_gemma":0.00021237177,"threshold_uncertainty_score":0.99957556},"labels":[],"label_agreement":null},{"id":"W4399744939","doi":"10.1145/3673652","title":"A Closest Point Method for PDEs on Manifolds with Interior Boundary Conditions for Geometry Processing","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; University of Waterloo","funders":"","keywords":"Geometry; Geometry processing; Boundary (topology); Point (geometry); Mathematics; Computer science; Manifold (fluid mechanics); Mathematical analysis; Polygon mesh","score_opus":0.015498617822680196,"score_gpt":0.3114769313384406,"score_spread":0.2959783135157604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399744939","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020546548,0.00025045202,0.9946546,0.0007006504,0.00011846885,0.00053311826,0.00030613478,0.0013056886,0.00007621939],"genre_scores_gemma":[0.6598918,0.00011833693,0.3382936,0.00027237806,0.00004753978,0.0011396392,0.000049634695,0.00010546914,0.00008162326],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990044,0.00001395261,0.0002465671,0.00033206926,0.00014283358,0.00026016953],"domain_scores_gemma":[0.99900055,0.0004938907,0.000026169604,0.00032467634,0.00008195605,0.00007273231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013876682,0.00023923344,0.0002505978,0.00062370615,0.00026986198,0.00012447355,0.0001833773,0.000110821224,0.00002313033],"category_scores_gemma":[0.000024586032,0.00020586202,0.0002518662,0.00092908036,0.00007628262,0.00026031525,0.0000023855719,0.00031577554,0.0000037677619],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007820973,0.00081477384,0.000028087705,0.005677792,0.0029872449,0.000045487028,0.0010492771,0.057197873,0.030802874,0.025203714,0.0032977047,0.87211305],"study_design_scores_gemma":[0.001523256,0.0040519475,0.00016010237,0.0024155183,0.0020059734,0.00013573296,0.0006506066,0.4600201,0.1599722,0.25329062,0.11368641,0.0020875146],"about_ca_topic_score_codex":0.000004449907,"about_ca_topic_score_gemma":0.00004574184,"teacher_disagreement_score":0.8700256,"about_ca_system_score_codex":0.000088766144,"about_ca_system_score_gemma":0.00003067795,"threshold_uncertainty_score":0.83948094},"labels":[],"label_agreement":null},{"id":"W4399939577","doi":"10.1109/tcomm.2024.3418915","title":"Robust Constant Curvature Curve Communications With Complex and Quaternion Neural Networks","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Army Research Laboratory; University of Waterloo; Cairo University","keywords":"Constant (computer programming); Constant curvature; Curvature; Quaternion; Artificial neural network; Computer science; Control theory (sociology); Mathematics; Topology (electrical circuits); Mathematical analysis; Geometry; Artificial intelligence; Combinatorics; Control (management)","score_opus":0.0450136031972007,"score_gpt":0.2781434220915432,"score_spread":0.23312981889434248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399939577","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00047269516,0.003500096,0.99017304,0.0019623186,0.00008051291,0.00028090068,0.00008638876,0.0016273358,0.0018167049],"genre_scores_gemma":[0.956351,0.0060218405,0.037108023,0.000100101046,0.000013928132,0.00020147275,0.00007576712,0.00006095044,0.00006693872],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999017,0.00009656655,0.00030472002,0.00022495136,0.00013270277,0.00022406854],"domain_scores_gemma":[0.9972848,0.0004615612,0.00003204162,0.0020433688,0.000071284376,0.00010693219],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000105749634,0.00024101266,0.00023552951,0.00019876444,0.00044969877,0.0001188074,0.00073875196,0.00010460565,0.00004161132],"category_scores_gemma":[0.0000019071465,0.00021497463,0.000086238295,0.000752839,0.00048369513,0.0002752107,0.00001453662,0.00096120255,0.000013419525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029731149,0.00031870554,0.0000586394,0.00009664446,0.0006363541,0.000006296243,0.0005922794,0.85102123,0.0016236275,0.006712274,0.0013110151,0.13759321],"study_design_scores_gemma":[0.00011226047,0.000055938657,0.000047489048,0.00010167843,0.00013296091,0.00003105354,0.00007693991,0.9891932,0.00020358915,0.00031874396,0.0094669955,0.00025913995],"about_ca_topic_score_codex":0.000047616166,"about_ca_topic_score_gemma":0.0005230031,"teacher_disagreement_score":0.95587826,"about_ca_system_score_codex":0.000097955584,"about_ca_system_score_gemma":0.000013842406,"threshold_uncertainty_score":0.8766411},"labels":[],"label_agreement":null},{"id":"W4399993544","doi":"10.2139/ssrn.4876754","title":"Freeto - Freeform 3d Topology Optimization Using a Structured Mesh with Smooth Boundaries in Matlab","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Topology optimization; MATLAB; Computer science; Topology (electrical circuits); Computational science; Mathematics; Finite element method; Engineering; Structural engineering; Programming language; Combinatorics","score_opus":0.0052063611377995795,"score_gpt":0.23856886588642567,"score_spread":0.2333625047486261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399993544","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0538271,0.007629632,0.9367652,0.00017370054,0.0003954232,0.00027564974,0.000014251354,0.00050729705,0.0004117781],"genre_scores_gemma":[0.9081091,0.0034536107,0.08772644,0.000028958864,0.0003264396,0.000029348126,0.00004167744,0.00017364354,0.000110766625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969464,0.0000522969,0.00056176604,0.00038242337,0.0002990068,0.0017581406],"domain_scores_gemma":[0.9993238,0.000018560442,0.000176046,0.00032376594,0.000082957886,0.000074891024],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0004022287,0.00046228615,0.00063707045,0.00056498544,0.00013349258,0.0002903822,0.00040160312,0.00038291578,0.000050328388],"category_scores_gemma":[0.000025127065,0.00038312492,0.00014280218,0.00048539243,0.00016343658,0.00015936278,0.00024677676,0.006050056,0.000002239989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004053833,0.000013095927,0.00014586886,0.00009977797,0.00047490283,0.000032546082,0.0001974026,0.97975445,0.00013728216,0.01252836,0.000022086575,0.006553666],"study_design_scores_gemma":[0.0002750131,0.00013942638,0.000018665325,0.0002439861,0.00023719281,0.00041566056,0.0003048197,0.42312005,0.00023788126,0.57393956,0.00048767446,0.00058004644],"about_ca_topic_score_codex":0.00041779273,"about_ca_topic_score_gemma":0.0062316833,"teacher_disagreement_score":0.854282,"about_ca_system_score_codex":0.004178541,"about_ca_system_score_gemma":0.0017736797,"threshold_uncertainty_score":0.9998621},"labels":[],"label_agreement":null},{"id":"W4400055183","doi":"10.1007/978-3-031-61816-1_6","title":"NBD-Tree: Neural Bounded Deformation Tree for Collision Culling of Deformable Objects","year":2024,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Tree (set theory); Bounded function; Computer science; Culling; Artificial intelligence; Collision; Pattern recognition (psychology); Mathematics; Combinatorics; Biology; Mathematical analysis; Computer security; Ecology","score_opus":0.023975836138464147,"score_gpt":0.2855369790007874,"score_spread":0.26156114286232324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400055183","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007299848,0.0012905996,0.7884031,0.00012887045,0.00027309352,0.000872188,0.00005301151,0.00039113758,0.20785803],"genre_scores_gemma":[0.6094436,0.0069244746,0.38150087,0.00020241903,0.0000615914,0.00016895817,0.00047822113,0.00004952891,0.0011703119],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998681,0.000005454532,0.0007627363,0.000121131365,0.00026030766,0.00016936337],"domain_scores_gemma":[0.9986353,0.00013188788,0.00018966648,0.0007158148,0.00027604168,0.000051324227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043761893,0.0001827864,0.00027831743,0.0008842849,0.00018873315,0.00016733703,0.0007631359,0.000106614956,0.0000019397985],"category_scores_gemma":[0.000024467208,0.00017178622,0.000076471915,0.0004461427,0.00034590502,0.0036577755,0.00038487907,0.00026260747,0.000009432172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015049497,0.0000190332,0.000013295059,0.00077046285,0.000041326457,1.8692839e-7,0.0028676689,0.113832645,0.00014933919,0.30415118,0.00037821298,0.5777616],"study_design_scores_gemma":[0.00012360042,0.00003891649,0.000020742105,0.0002290027,0.000017811142,0.000005538034,0.000029825636,0.95485467,0.00041333475,0.01755722,0.026533287,0.00017604881],"about_ca_topic_score_codex":0.000005195105,"about_ca_topic_score_gemma":0.000019997511,"teacher_disagreement_score":0.841022,"about_ca_system_score_codex":0.00020268332,"about_ca_system_score_gemma":0.000049176106,"threshold_uncertainty_score":0.70052385},"labels":[],"label_agreement":null},{"id":"W4400141371","doi":"10.48550/arxiv.2406.18670","title":"Generalized Cuts and Grothendieck Covers: a Primal-Dual Approximation Framework Extending the Goemans--Williamson Algorithm","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Dual (grammatical number); Algorithm; Mathematics; Computer science; Combinatorics; Philosophy; Linguistics","score_opus":0.03227605312090021,"score_gpt":0.2010418367513054,"score_spread":0.1687657836304052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400141371","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07261249,0.0011607033,0.9229275,0.000068303,0.00029607548,0.0005823085,0.000052419666,0.0012593775,0.0010408495],"genre_scores_gemma":[0.95179904,0.0037528763,0.043279428,0.00006532299,0.00023714983,0.000016828017,0.00005439728,0.00010763185,0.00068733527],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984083,0.00008545624,0.00026398897,0.0007618514,0.00012599325,0.00035440995],"domain_scores_gemma":[0.99894303,0.00014147734,0.000118201744,0.0006296394,0.00005352921,0.00011411509],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018635206,0.00044898817,0.0004638611,0.00024397678,0.00013937237,0.00013383212,0.00038586772,0.000391935,0.00004123402],"category_scores_gemma":[0.000032107782,0.00040207207,0.00023961846,0.000611652,0.00015173618,0.0001789655,0.00074257737,0.0011698103,0.000036368197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053312033,0.000086752894,0.00026469227,0.0009185032,0.00133809,0.00040532163,0.001057945,0.8208156,0.0006877079,0.14111781,0.0012464357,0.0320078],"study_design_scores_gemma":[0.00013517006,0.000020777916,0.000053095806,0.0002628739,0.00032967527,0.0000070998613,0.000090701185,0.7611974,0.0006562715,0.23470618,0.0020740028,0.000466775],"about_ca_topic_score_codex":0.000046541023,"about_ca_topic_score_gemma":0.0000055284486,"teacher_disagreement_score":0.87964803,"about_ca_system_score_codex":0.0003153968,"about_ca_system_score_gemma":0.00002271126,"threshold_uncertainty_score":0.9998431},"labels":[],"label_agreement":null},{"id":"W4400340425","doi":"10.48550/arxiv.2407.00804","title":"Unified approach to reciprocal matrices with Kippenhahn curves containing elliptical components","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; New York University Abu Dhabi","keywords":"Reciprocal; Mathematics; Geometry; Philosophy; Linguistics","score_opus":0.05479092512550477,"score_gpt":0.19481752092315016,"score_spread":0.1400265957976454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400340425","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1828238,0.0007318838,0.7900892,0.00006819813,0.00015546272,0.00069899904,0.000036432128,0.002397956,0.022998055],"genre_scores_gemma":[0.98777014,0.00041785467,0.010899572,0.00005755205,0.00006869968,0.0000086914215,0.00007832702,0.0000942725,0.00060488103],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980535,0.00006038547,0.00028452338,0.0009871016,0.00015922291,0.00045528958],"domain_scores_gemma":[0.9987841,0.00008885526,0.00007335482,0.00065440004,0.000096668766,0.00030258417],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00014535285,0.0005064556,0.0006777313,0.0003940228,0.00006658601,0.00006903461,0.0007118362,0.0002718014,0.000024703562],"category_scores_gemma":[0.000019988958,0.00049582956,0.00019236066,0.0010825385,0.000107427746,0.00011538444,0.00086673937,0.0011533329,0.0001379489],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000171256,0.00012529008,0.00041775615,0.0016566279,0.00061710924,0.00033721662,0.00010930585,0.9723667,0.0003365664,0.022188347,0.0011231288,0.0005506991],"study_design_scores_gemma":[0.00044234956,0.00023015167,0.00027261028,0.002351957,0.0010459323,0.000018410845,0.00021989508,0.9700023,0.0012761337,0.019080313,0.003212776,0.0018471754],"about_ca_topic_score_codex":0.00005411056,"about_ca_topic_score_gemma":0.00001331712,"teacher_disagreement_score":0.80494636,"about_ca_system_score_codex":0.00033036873,"about_ca_system_score_gemma":0.00003768517,"threshold_uncertainty_score":0.99974936},"labels":[],"label_agreement":null},{"id":"W4400485608","doi":"10.61091/jcmcc120-20","title":"( 2 , w ) -Threshold Schemes Constructed from Orthogonal Resolutions","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Computer science","score_opus":0.009828368723264652,"score_gpt":0.249207220051417,"score_spread":0.23937885132815234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400485608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8737419,0.004587373,0.10485803,0.00009820135,0.014295104,0.00018499911,0.000015167366,0.0006150725,0.0016041206],"genre_scores_gemma":[0.9764604,0.00011817887,0.021970702,0.0000071433715,0.0013842009,0.0000017244824,0.0000037646396,0.000050973784,0.0000028924371],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980114,0.000031915297,0.0009976481,0.00018515758,0.0004950925,0.0002787807],"domain_scores_gemma":[0.99860203,0.0005760099,0.00021198182,0.00018934066,0.00024132743,0.00017930646],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043803535,0.0002785812,0.0006571078,0.00024668293,0.000134232,0.0002454602,0.000278846,0.000161857,0.00002789229],"category_scores_gemma":[0.00016154,0.00024854668,0.00022160097,0.0004968091,0.00011357282,0.00026943203,0.00011785502,0.0006785094,0.0000048468546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026263106,0.00015108992,0.00022142802,0.00024408389,0.00053879747,0.00009594148,0.00038080852,0.00043989834,0.00597703,0.9851493,0.0015762579,0.0051990794],"study_design_scores_gemma":[0.0009150798,0.00017767378,0.00004841807,0.00066843233,0.0002110884,0.000091366295,0.00015035966,0.11012064,0.003356852,0.87850887,0.0053858184,0.00036540692],"about_ca_topic_score_codex":0.0000036920642,"about_ca_topic_score_gemma":2.019019e-7,"teacher_disagreement_score":0.109680735,"about_ca_system_score_codex":0.00010661919,"about_ca_system_score_gemma":0.00007200805,"threshold_uncertainty_score":0.99999666},"labels":[],"label_agreement":null},{"id":"W4400700436","doi":"10.1007/s10444-024-10144-5","title":"A continuation method for fitting a bandlimited curve to points in the plane","year":2024,"lang":"en","type":"article","venue":"Advances in Computational Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Continuation; Mathematics; Computational Science and Engineering; Bandlimiting; Plane (geometry); Curve fitting; Mathematical analysis; Applied mathematics; Calculus (dental); Geometry; Computer science; Fourier transform; Statistics","score_opus":0.014300194645812975,"score_gpt":0.34396391736624443,"score_spread":0.32966372272043143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400700436","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0036644486,0.00054970116,0.9944082,0.00043159875,0.000053595082,0.00041471413,0.000014212343,0.00017130996,0.0002922526],"genre_scores_gemma":[0.21454355,0.00002309903,0.7850177,0.00012965342,0.00003138702,0.00020211055,0.000028556156,0.00001702663,0.000006865179],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917305,0.000030393343,0.00034941483,0.00014113408,0.0001677308,0.0001382587],"domain_scores_gemma":[0.9969662,0.0028725907,0.00002849289,0.00008060785,0.000034994322,0.000017137405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050584745,0.0001058619,0.00017557567,0.00018896529,0.000020048119,0.00003700545,0.00012906612,0.000028497285,0.000004443684],"category_scores_gemma":[0.00027668301,0.00008321594,0.000041446863,0.0006082355,0.000010145494,0.00018911825,0.000013603711,0.00011191331,0.000007702019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000044968233,0.00003298163,0.000043433196,0.00029139538,0.000012614285,0.000004569389,0.001853344,0.92647356,0.00007282121,0.027325766,0.00013519757,0.04374982],"study_design_scores_gemma":[0.00007361408,0.000016916363,0.0000645775,0.00015907016,0.0000059327276,0.000004347468,0.0001296362,0.7041804,0.000097187774,0.29308602,0.0021056014,0.00007668658],"about_ca_topic_score_codex":0.0000012569413,"about_ca_topic_score_gemma":0.000020091837,"teacher_disagreement_score":0.26576027,"about_ca_system_score_codex":0.00006319386,"about_ca_system_score_gemma":0.0000068038953,"threshold_uncertainty_score":0.33934477},"labels":[],"label_agreement":null},{"id":"W4400771816","doi":"10.1109/iwrfat61200.2024.10594045","title":"Mesh Space Mapping for a Three-Pole H-Plane Coupled Cavity Filter With Rounded Corners","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Plane (geometry); Filter (signal processing); Space (punctuation); Geometry; Optics; Physics; Topology (electrical circuits); Computer science; Mathematics; Engineering; Electrical engineering; Computer vision","score_opus":0.013159240884132282,"score_gpt":0.23474864339277673,"score_spread":0.22158940250864445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400771816","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066717044,0.00020628767,0.9872693,0.00024492305,0.000054824694,0.00028667506,0.000012199291,0.0021405267,0.003113554],"genre_scores_gemma":[0.90421534,0.000027155253,0.093210876,0.00007143977,0.00007024478,0.000149253,0.000037135556,0.00006398765,0.0021546015],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992318,0.000004226101,0.00014482754,0.00023362778,0.00012256298,0.00026296545],"domain_scores_gemma":[0.9995949,0.000099969606,0.0000132895475,0.00019574589,0.000028845452,0.00006723622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007186696,0.00017653644,0.00022996514,0.00007501212,0.00004534371,0.00008415071,0.00010033186,0.000055860502,0.0001358379],"category_scores_gemma":[0.000009691485,0.000131561,0.00007455233,0.00032022808,0.000032515123,0.00015458389,0.000018465886,0.00013137195,0.00002242464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059596647,0.00036196646,0.0028076575,0.0048409626,0.0065503577,0.00057007454,0.0019878508,0.20049544,0.33675012,0.066817164,0.26353464,0.11468784],"study_design_scores_gemma":[0.00019230077,0.00007165293,0.000082239145,0.000078712015,0.000051787258,0.0000108103795,0.00006097267,0.95254403,0.008400468,0.0030919265,0.035062477,0.00035263094],"about_ca_topic_score_codex":0.00013165941,"about_ca_topic_score_gemma":0.00041210372,"teacher_disagreement_score":0.8975436,"about_ca_system_score_codex":0.00010032988,"about_ca_system_score_gemma":0.000010831696,"threshold_uncertainty_score":0.53649014},"labels":[],"label_agreement":null},{"id":"W4400818419","doi":"10.1145/3658155","title":"Split-and-Fit: Learning B-Reps via Structure-Aware Voronoi Partitioning","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Voronoi diagram; Computer science; Centroidal Voronoi tessellation; Artificial intelligence; Theoretical computer science; Computer graphics (images); Mathematics; Geometry","score_opus":0.010908689113206305,"score_gpt":0.24936334121787307,"score_spread":0.23845465210466676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400818419","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025325194,0.0006041217,0.9714604,0.0002591894,0.00016070645,0.000086492444,0.000018561683,0.002005397,0.00007993481],"genre_scores_gemma":[0.99013215,0.0006933039,0.008917766,0.00006180308,0.00003835783,0.000032636694,0.000010117058,0.00005487542,0.00005901142],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991095,0.000024848025,0.00021184834,0.0002712587,0.0001578682,0.00022469964],"domain_scores_gemma":[0.9994471,0.00013879685,0.000015060342,0.00028598035,0.000027438173,0.000085601445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006526944,0.00019482657,0.0001777449,0.00027531796,0.00020289184,0.000074491945,0.00012657081,0.00011788737,0.000140748],"category_scores_gemma":[0.000013320488,0.00019290025,0.00012726136,0.0007013662,0.00006799673,0.00023564516,0.0000046419786,0.0007218572,0.00001600777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001640061,0.00005440914,0.00033665303,0.00039745652,0.0006329513,0.000038520895,0.0006209995,0.49613678,0.008028743,0.0038539988,0.00016537108,0.48971772],"study_design_scores_gemma":[0.00024574946,0.00022406416,0.0011459813,0.00034159818,0.00046379978,0.0000712407,0.00017560544,0.8614266,0.028795272,0.068487965,0.037488624,0.0011335048],"about_ca_topic_score_codex":0.000016837821,"about_ca_topic_score_gemma":0.000045068275,"teacher_disagreement_score":0.9648069,"about_ca_system_score_codex":0.000046641155,"about_ca_system_score_gemma":0.000006360759,"threshold_uncertainty_score":0.7866244},"labels":[],"label_agreement":null},{"id":"W4400959902","doi":"10.23952/jano.6.2024.3.05","title":"Function approximations via l1 - l2 optimization","year":2024,"lang":"en","type":"article","venue":"Journal of Applied and Numerical Optimization","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Function (biology); Approximations of π; Computer science; Mathematics; Algorithm; Mathematical optimization; Applied mathematics; Biology","score_opus":0.004062597707315444,"score_gpt":0.20435090351581509,"score_spread":0.20028830580849963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400959902","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015566508,0.00055284245,0.99648273,0.00011075039,0.00016323807,0.000093960836,0.0000014475305,0.0002860899,0.0021532525],"genre_scores_gemma":[0.5649203,0.00064976723,0.43408456,0.00006162084,0.0001934641,0.000011716614,0.000021341684,0.000040535986,0.00001670138],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910057,0.000011743576,0.00043910797,0.00012612766,0.00019659712,0.00012583671],"domain_scores_gemma":[0.99960774,0.000053769327,0.00009038044,0.00007676061,0.00007861811,0.00009273303],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012131316,0.00014135838,0.00023384782,0.00024042506,0.000057868016,0.00008323012,0.00006419421,0.00008636201,0.00009314352],"category_scores_gemma":[0.000013449142,0.00011951996,0.00007576341,0.00056001334,0.000028895593,0.00040209264,0.000014016521,0.00021836504,0.0000046338514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025255262,0.00002041602,0.000002390804,0.000037393038,0.000060870057,0.000001858908,0.00004903235,0.96869415,0.000787686,0.0009906715,0.0002857606,0.02904453],"study_design_scores_gemma":[0.00011519838,0.00007214141,0.0000107997585,0.000026727543,0.00010472272,0.000020077403,0.000020774965,0.99453706,0.0005782732,0.0025044044,0.0018785035,0.00013133013],"about_ca_topic_score_codex":4.8150355e-7,"about_ca_topic_score_gemma":2.807063e-8,"teacher_disagreement_score":0.5647646,"about_ca_system_score_codex":0.00006936891,"about_ca_system_score_gemma":0.000011102355,"threshold_uncertainty_score":0.48738825},"labels":[],"label_agreement":null},{"id":"W4401178010","doi":"10.1111/cgf.15129","title":"Cascading upper bounds for triangle soup Pompeiu‐Hausdorff distance","year":2024,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Research Canada; University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Hausdorff distance; Computer science; Hausdorff space; Computer graphics (images); Artificial intelligence; Mathematics; Combinatorics","score_opus":0.008063795892688836,"score_gpt":0.24552708523149008,"score_spread":0.23746328933880126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401178010","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019337483,0.0033439996,0.99091196,0.00038190314,0.000857049,0.00025093643,0.00003586897,0.0019559446,0.00032859916],"genre_scores_gemma":[0.9359251,0.00028875677,0.062251996,0.0003689805,0.0005097506,0.00015914832,0.000061446764,0.00014017118,0.0002946492],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99867,0.000012098319,0.00032229815,0.00035989482,0.00015059438,0.00048514086],"domain_scores_gemma":[0.99933374,0.00018039976,0.000024584726,0.00031460347,0.000043821867,0.00010286098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014019238,0.0002528803,0.00033611406,0.00029858883,0.00012790936,0.00017542072,0.00026735116,0.000113343056,0.000010910277],"category_scores_gemma":[0.00001006214,0.00023922119,0.00039179588,0.0007090231,0.00006815726,0.00027495294,0.00006793601,0.00024294858,0.000016067306],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032817148,0.000075761054,0.0008121657,0.0008056261,0.0007613336,0.000064276115,0.00038577555,0.0058006514,0.001719388,0.7058612,0.12350916,0.16017182],"study_design_scores_gemma":[0.00013125909,0.0000547749,0.000032277414,0.000086728774,0.000035924662,0.0000078264475,0.000008014197,0.5709145,0.0012523253,0.044414334,0.38277587,0.00028616184],"about_ca_topic_score_codex":0.0000033060508,"about_ca_topic_score_gemma":0.000011461694,"teacher_disagreement_score":0.9339914,"about_ca_system_score_codex":0.00008098064,"about_ca_system_score_gemma":0.0000103644825,"threshold_uncertainty_score":0.97551566},"labels":[],"label_agreement":null},{"id":"W4401934144","doi":"10.18280/mmep.110818","title":"Exploring Chaotic Dynamics in a Fourth-Order Newton Method for Polynomial Root Finding","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Root (linguistics); Dynamics (music); Chaotic; Order (exchange); Root-finding algorithm; Mathematics; Newton's method; Applied mathematics; Polynomial; Computer science; Mathematical analysis; Nonlinear system; Physics; Artificial intelligence; Economics","score_opus":0.055800927734078305,"score_gpt":0.26869208410567585,"score_spread":0.21289115637159756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401934144","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018341104,0.00056221744,0.9794187,0.0001093307,0.00011131655,0.00027952399,0.000004486896,0.001077192,0.00009610546],"genre_scores_gemma":[0.4034913,0.00014621357,0.5957658,0.000002497698,0.00007376553,0.000351703,0.000006390323,0.00010905434,0.000053231204],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873465,0.0000075676994,0.00040936936,0.00030166295,0.00011716975,0.0004295491],"domain_scores_gemma":[0.9993697,0.00035370173,0.00001400953,0.00014782243,0.000016694374,0.0000980934],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033457097,0.00026630794,0.00038968975,0.00030561886,0.00003441162,0.0000972755,0.00009851668,0.00009532645,0.000003787447],"category_scores_gemma":[0.000045995494,0.00025453203,0.000089894915,0.00041570832,0.0000121442445,0.00024642973,0.000032952797,0.00031935828,0.00000429396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000021951196,0.000010984827,0.0000025536872,0.0017360605,0.00003791478,0.0000037158272,0.00038841498,0.9843137,0.00051108556,0.007848993,0.000006593501,0.0051377583],"study_design_scores_gemma":[0.000102326754,0.000025176849,8.441495e-7,0.0007753033,0.00003556202,0.000011273757,0.00002607725,0.9866225,0.0005202642,0.011260496,0.0003253258,0.000294824],"about_ca_topic_score_codex":0.000011160015,"about_ca_topic_score_gemma":0.000005226365,"teacher_disagreement_score":0.3851502,"about_ca_system_score_codex":0.00018666706,"about_ca_system_score_gemma":0.000005800818,"threshold_uncertainty_score":0.9999907},"labels":[],"label_agreement":null},{"id":"W4402147778","doi":"","title":"Exploiting the partially separable structure in quasi-Newton optimization","year":2022,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Separable space; Computer science; Newton's method; Mathematical optimization; Mathematics; Physics; Mathematical analysis; Nonlinear system","score_opus":0.006859733429307006,"score_gpt":0.20691737683306755,"score_spread":0.20005764340376053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402147778","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08035243,0.00056073285,0.9063506,0.0035731571,0.00006507414,0.00027416222,0.000018316217,0.00060066325,0.008204825],"genre_scores_gemma":[0.9580751,0.0001313356,0.040771738,0.000075585,0.000008270562,0.00009365062,0.00009257778,0.00003290164,0.00071885803],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997572,0.0014115914,0.00029451965,0.0002353227,0.00025494007,0.00023161336],"domain_scores_gemma":[0.9986085,0.00043451187,0.00009557137,0.00063151063,0.00018201041,0.00004788793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013825223,0.00013314694,0.00015685178,0.00010436582,0.00033555043,0.00007445642,0.0005161563,0.000039469414,0.00032813856],"category_scores_gemma":[0.00027949124,0.00012570439,0.00006194421,0.0008157107,0.00005312139,0.00016105862,0.00021842188,0.00035169785,0.0000031780148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004710418,0.00011252503,0.0010933443,0.00001727889,0.000021743668,0.000002810322,0.0032550776,0.95734465,0.00791563,0.009340033,0.00052482507,0.020367382],"study_design_scores_gemma":[0.00017934204,4.0498372e-7,0.00030545917,0.000057018857,0.00001175164,0.000005269801,0.00030683086,0.9365719,0.047943763,0.0024459264,0.011965762,0.0002065934],"about_ca_topic_score_codex":0.00019756773,"about_ca_topic_score_gemma":0.0005719037,"teacher_disagreement_score":0.8777227,"about_ca_system_score_codex":0.00014394287,"about_ca_system_score_gemma":0.000023142733,"threshold_uncertainty_score":0.51260763},"labels":[],"label_agreement":null},{"id":"W4402194830","doi":"10.33612/diss.1085251579","title":"Angles and B-mons","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Geography","score_opus":0.0028642025952971394,"score_gpt":0.23401747175743012,"score_spread":0.231153269162133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402194830","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09682666,0.031863574,0.018692987,0.00007934493,0.0007554354,0.00032233042,0.00002305472,0.010573173,0.84086347],"genre_scores_gemma":[0.84901816,0.005588336,0.029322604,0.00005190655,0.00020668078,0.00013345519,0.0008518411,0.0002652056,0.11456184],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996757,0.0000014109814,0.00008866847,0.0001110496,0.000051923176,0.000071234004],"domain_scores_gemma":[0.99987185,0.000011078431,0.0000062933386,0.00007559318,0.000008966286,0.000026231206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00000983429,0.00011420841,0.0001356306,0.000089032714,0.000009544709,0.000021007936,0.0000380831,0.00009349751,0.00007197785],"category_scores_gemma":[0.0000041822486,0.000096309726,0.000040463932,0.00011251064,0.0000056241724,0.00003077885,0.000005434483,0.00013844157,0.000046485824],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013618227,0.000039369417,0.00008234856,0.0043388903,0.0011535585,0.00009698273,0.001831266,0.00087845,0.04793043,0.023985542,0.1375998,0.7820498],"study_design_scores_gemma":[0.00017662892,0.00012173668,0.0021175058,0.0011271778,0.0012918469,0.000017148932,0.0025465915,0.07895893,0.21173702,0.16934709,0.5291418,0.0034165145],"about_ca_topic_score_codex":0.000007979455,"about_ca_topic_score_gemma":0.000107742686,"teacher_disagreement_score":0.77863324,"about_ca_system_score_codex":0.000013874077,"about_ca_system_score_gemma":0.0000019989004,"threshold_uncertainty_score":0.39273965},"labels":[],"label_agreement":null},{"id":"W4402263651","doi":"10.23919/acc60939.2024.10644446","title":"Time-Aware Non-Uniform Rational Basis Spline (T-NURBS)","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph; Memorial University of Newfoundland","funders":"","keywords":"Spline (mechanical); Computer science; Basis (linear algebra); Algorithm; Mathematics; Geometry; Engineering; Structural engineering","score_opus":0.005102048927987394,"score_gpt":0.23637552466551678,"score_spread":0.23127347573752938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402263651","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018042534,0.00012332678,0.96615094,0.00031298117,0.00006920875,0.00007849942,0.000013384521,0.0023980744,0.029049333],"genre_scores_gemma":[0.88283354,0.0001127711,0.10143977,0.00019369012,0.00028555188,0.00005522833,0.00013028075,0.00007794968,0.014871245],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994105,0.00000295025,0.0001636816,0.00014548616,0.0001331058,0.00014425197],"domain_scores_gemma":[0.9997283,0.000045953308,0.0000057083776,0.0001402895,0.000025635956,0.00005409679],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000502975,0.000118373464,0.00012958038,0.00010496942,0.000024840452,0.00003088739,0.0000920715,0.00004845713,0.002533286],"category_scores_gemma":[0.000007201342,0.00009768194,0.00008200481,0.00037262568,0.000020313864,0.0001940696,0.00002431877,0.0001176851,0.0011581677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015430323,0.0001156308,0.00012735397,0.00046390702,0.00073420117,0.00011689198,0.00022296835,0.27941608,0.0781856,0.009417218,0.38250965,0.24867506],"study_design_scores_gemma":[0.000029086747,0.000012586678,0.000032344487,0.000019684268,0.000017722154,0.0000034764116,0.000006447507,0.93319356,0.0246205,0.0012518496,0.040662166,0.00015058124],"about_ca_topic_score_codex":0.000004237214,"about_ca_topic_score_gemma":0.0000044122658,"teacher_disagreement_score":0.88102925,"about_ca_system_score_codex":0.00006861664,"about_ca_system_score_gemma":0.000008460014,"threshold_uncertainty_score":0.99961954},"labels":[],"label_agreement":null},{"id":"W4402282424","doi":"10.1007/s10444-024-10192-x","title":"Interpolating refinable functions and $$n_s$$-step interpolatory subdivision schemes","year":2024,"lang":"en","type":"article","venue":"Advances in Computational Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Subdivision; Mathematics; Computational Science and Engineering; Interpolation (computer graphics); Applied mathematics; Algorithm; Algebra over a field; Pure mathematics; Computer science; Computer graphics (images); Geography","score_opus":0.006541219353855559,"score_gpt":0.2745113967419618,"score_spread":0.26797017738810625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402282424","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016931713,0.008665062,0.9706402,0.000035519715,0.00013737855,0.000090044006,0.0000064019705,0.00059876253,0.0028949194],"genre_scores_gemma":[0.7266919,0.00025296892,0.2728764,0.00001573357,0.000030080231,0.000023931605,0.000010328671,0.000027868926,0.00007076915],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99914855,0.000010670207,0.00034826604,0.00018722091,0.00015410731,0.0001511626],"domain_scores_gemma":[0.9993561,0.0004441353,0.00003059547,0.00009893823,0.0000325608,0.000037696333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012025299,0.00014638239,0.00019098265,0.00021667888,0.00004340152,0.000056182853,0.00008193248,0.000041105133,0.000020749865],"category_scores_gemma":[0.00005940598,0.00013842685,0.000042182237,0.00038614165,0.000055936478,0.0005731092,0.000059120404,0.00020594933,0.00002476727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009063601,0.00013727522,0.0013621763,0.00279982,0.00013133009,0.00004080582,0.001186003,0.3744226,0.0008260057,0.31281415,0.00065189396,0.30561888],"study_design_scores_gemma":[0.000046182235,0.00001815412,0.00004142348,0.00038569362,0.000009621709,0.000013616755,0.00015114658,0.86476594,0.000083287545,0.1265881,0.007760121,0.00013669398],"about_ca_topic_score_codex":0.0000011991309,"about_ca_topic_score_gemma":0.000005197803,"teacher_disagreement_score":0.7097602,"about_ca_system_score_codex":0.00009493367,"about_ca_system_score_gemma":0.000008798093,"threshold_uncertainty_score":0.56448835},"labels":[],"label_agreement":null},{"id":"W4402337570","doi":"10.23952/asvao.7.2025.1.08","title":"Pareto $\\varepsilon$-$\\sigma$-subdifferential multi-composition rule","year":2024,"lang":"en","type":"article","venue":"Applied Set-Valued Analysis and Optimization","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pareto principle; Composition (language); Subderivative; Sigma; Pareto optimal; Mathematics; Mathematical economics; Philosophy; Mathematical optimization; Multi-objective optimization; Physics; Linguistics; Regular polygon; Geometry","score_opus":0.00817686965302403,"score_gpt":0.2422170456347494,"score_spread":0.23404017598172538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402337570","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008565833,0.0005293426,0.9888787,0.000031321237,0.000063557585,0.00015325987,0.000024562905,0.0011452786,0.00060810655],"genre_scores_gemma":[0.87895,0.00039282156,0.11963066,0.0000385687,0.00006823725,0.00006195014,0.000751159,0.000045197306,0.00006139544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987041,0.000027700193,0.0003723595,0.00043952087,0.00022051347,0.00023583721],"domain_scores_gemma":[0.99953353,0.00003502446,0.000044427725,0.00024272568,0.000041001105,0.0001032784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010889739,0.00026173686,0.00040724713,0.0004979531,0.00012515526,0.00018596968,0.00010270181,0.0001327468,0.00020708253],"category_scores_gemma":[0.0000039587057,0.00024483696,0.00018900275,0.0016605096,0.000043979253,0.0001901559,0.000038567687,0.00017279704,0.000014290403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007652334,0.000026367445,0.000091956266,0.00004728285,0.00088013895,0.0000032073515,0.000098400975,0.98560107,0.005313641,0.0012304323,0.000094243245,0.0066056303],"study_design_scores_gemma":[0.00014496702,0.000009606586,0.00039412154,0.000014308492,0.0014584211,8.46095e-7,0.00002777383,0.99235785,0.004700851,0.00044737113,0.00014810624,0.00029575342],"about_ca_topic_score_codex":0.000016269942,"about_ca_topic_score_gemma":0.000007262043,"teacher_disagreement_score":0.87038416,"about_ca_system_score_codex":0.00007982973,"about_ca_system_score_gemma":0.000005559447,"threshold_uncertainty_score":0.9984162},"labels":[],"label_agreement":null},{"id":"W4402405423","doi":"10.1016/j.ast.2024.109561","title":"NURBS-based isogeometric formulation for linear and nonlinear buckling analysis of laminated composite plates using constrained and unconstrained TSDTs","year":2024,"lang":"en","type":"article","venue":"Aerospace Science and Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Isogeometric analysis; Buckling; Composite number; Nonlinear system; Structural engineering; Materials science; Composite material; Engineering; Finite element method; Physics","score_opus":0.009454871911609427,"score_gpt":0.2796131107749287,"score_spread":0.27015823886331924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402405423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83182704,0.00087689393,0.16653839,0.00019731419,0.000018443994,0.00015764189,0.000024422337,0.00034858842,0.000011255871],"genre_scores_gemma":[0.9104781,0.00007587972,0.08940057,0.000010179074,0.0000046244086,0.0000071753525,0.000009712883,0.000010656757,0.0000030794138],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999079,0.000004362509,0.00022483896,0.00032133487,0.00013321443,0.00023724641],"domain_scores_gemma":[0.99938166,0.00021153133,0.00004991368,0.00012837975,0.00017514316,0.000053355987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025697568,0.00014191783,0.00033870808,0.0022674995,0.00012363415,0.00005259348,0.000093603565,0.00012428424,0.0000015738049],"category_scores_gemma":[0.00019379276,0.00012950612,0.000035984798,0.007597574,0.00076097687,0.00025202727,0.00004419896,0.00011245777,1.0985617e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009603315,0.000017978919,0.0043452648,0.00017885318,0.00024312943,0.0000048030383,0.00007387559,0.011725619,0.9368643,0.003365653,0.0000014671709,0.043169457],"study_design_scores_gemma":[0.00014437319,0.00007620797,0.00017387478,0.000043843123,0.00025500145,0.000006742881,0.00009923534,0.8616243,0.13689232,0.0005273377,0.000034376288,0.00012239361],"about_ca_topic_score_codex":0.000012116517,"about_ca_topic_score_gemma":0.000011237764,"teacher_disagreement_score":0.8498987,"about_ca_system_score_codex":0.00004060018,"about_ca_system_score_gemma":0.000033831708,"threshold_uncertainty_score":0.5281106},"labels":[],"label_agreement":null},{"id":"W4402405901","doi":"10.5206/mt.v4i2.16420","title":"A Symbolic Algorithm to Obtain Low or High Degree Splines from Discrete Fourier Transforms","year":2024,"lang":"en","type":"article","venue":"Maple Transactions","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université de Moncton; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation; Université de Moncton","keywords":"Degree (music); Algorithm; Discrete Fourier transform (general); Computer science; Fourier transform; Mathematics; Fourier analysis; Short-time Fourier transform; Mathematical analysis; Physics; Acoustics","score_opus":0.011708982239579705,"score_gpt":0.2517646479175568,"score_spread":0.24005566567797712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402405901","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043632486,0.00025807036,0.9911074,0.0008257769,0.00026066604,0.00025134493,0.0004899048,0.0022152045,0.00022840274],"genre_scores_gemma":[0.72123474,0.00029721909,0.27523515,0.00012032685,0.00027624887,0.00039640977,0.000081235965,0.00014102196,0.0022176604],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883395,0.000012485881,0.00029405346,0.0003217357,0.00020203841,0.0003357073],"domain_scores_gemma":[0.99940276,0.00009217465,0.000007745934,0.0002929051,0.000023590399,0.00018082971],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000047622856,0.00025817985,0.00029847742,0.00021068948,0.0000913799,0.000078554316,0.00017985053,0.00009990522,0.001067951],"category_scores_gemma":[0.0000044877993,0.00020073443,0.00020160849,0.0008674867,0.0000321989,0.0002580905,0.0000038008905,0.0002885835,0.00017691337],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002403414,0.00004700624,0.0000028780398,0.000101853315,0.00040846528,0.00006785412,0.00074406393,0.036074482,0.0064195953,0.00014222904,0.00073049666,0.95523703],"study_design_scores_gemma":[0.00045218013,0.00018018392,0.0003127888,0.00031597557,0.000577612,0.000023912278,0.00028281714,0.7643328,0.07023479,0.011112953,0.150879,0.0012950381],"about_ca_topic_score_codex":0.0003290781,"about_ca_topic_score_gemma":0.00052353524,"teacher_disagreement_score":0.953942,"about_ca_system_score_codex":0.00010488831,"about_ca_system_score_gemma":0.00001757525,"threshold_uncertainty_score":0.9998452},"labels":[],"label_agreement":null},{"id":"W4402438807","doi":"10.11159/htff24.257","title":"Comparative Analysis of Temperature Fields during cryosurgery: Study using the Porosity-based Bioheat Models and Pennes Model","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Mechanical, Chemical, and Material Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cryosurgery; Materials science; Bioheat transfer; Porosity; Mechanics; Composite material; Physics; Heat transfer","score_opus":0.013814731184628984,"score_gpt":0.24895313915015307,"score_spread":0.2351384079655241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402438807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990148,0.000063173626,0.00025303353,0.000048737293,0.00012710702,0.00024567285,0.000029203775,0.00020152541,0.000016770346],"genre_scores_gemma":[0.99812806,0.00003802321,0.0017106261,0.000010752217,0.00003653786,0.00003277501,0.000001936128,0.000027820237,0.000013502461],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989075,0.000005943624,0.00038035403,0.0002937485,0.00021075089,0.00020170689],"domain_scores_gemma":[0.9995549,0.00008920301,0.000069356436,0.00015148721,0.000073996176,0.000061071696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001446312,0.0002665995,0.00063087814,0.0002728475,0.00007009195,0.00011324861,0.0002386077,0.00008390335,0.000004340524],"category_scores_gemma":[0.000018064096,0.00017522699,0.00014725636,0.00083473796,0.00007092376,0.0001672288,0.00014372705,0.00025401154,3.6135994e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003523954,0.000028261607,0.000011073889,0.00027497605,0.00036760172,4.8063214e-7,0.00004763463,0.18077332,0.8176597,0.0007754749,0.000014029317,0.000012260693],"study_design_scores_gemma":[0.000060180264,0.0000111217905,0.0000043937684,0.00013629616,0.0003416196,6.79422e-7,0.000044258104,0.47918293,0.51995075,0.00016179837,0.0000028136426,0.00010314842],"about_ca_topic_score_codex":0.000008181532,"about_ca_topic_score_gemma":0.000002461146,"teacher_disagreement_score":0.29840964,"about_ca_system_score_codex":0.00003597884,"about_ca_system_score_gemma":0.0000060138773,"threshold_uncertainty_score":0.71455497},"labels":[],"label_agreement":null},{"id":"W4402727266","doi":"10.1109/cvpr52733.2024.00452","title":"Functional Diffusion","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Diffusion; Physics; Thermodynamics","score_opus":0.006889901530733224,"score_gpt":0.21822346074804452,"score_spread":0.2113335592173113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402727266","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0045027426,0.00037763114,0.95596546,0.00008312118,0.00010912089,0.000014574598,4.424264e-7,0.0029687595,0.035978135],"genre_scores_gemma":[0.98946416,0.000056671703,0.0070815342,0.000035152698,0.00006579336,0.0000070196406,0.0000039161555,0.000011362878,0.0032744023],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980336,0.0000010833188,0.00004379603,0.000053172324,0.00004907418,0.000049498332],"domain_scores_gemma":[0.99992096,0.000013418143,7.504807e-7,0.000044289132,0.0000036177264,0.000016976071],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000011033375,0.000035402914,0.00003303701,0.000037518064,0.000008107205,0.0000118268545,0.000019230678,0.000014657827,0.00088924955],"category_scores_gemma":[0.0000018333744,0.000026563293,0.0000286023,0.00013454107,0.000005144178,0.000056958514,0.000007807781,0.00004593734,0.000300831],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000023058574,0.000021039263,0.00015981082,0.00010032178,0.00009519321,0.000024731058,0.000035429428,0.016098417,0.20952389,0.05502291,0.23024596,0.48867],"study_design_scores_gemma":[0.000023796423,0.0000100277875,0.0006800699,0.000016715076,0.0000118914895,0.0000053875065,0.0000069394596,0.58317757,0.030692918,0.015576789,0.36964723,0.00015064079],"about_ca_topic_score_codex":0.0000011164296,"about_ca_topic_score_gemma":6.508844e-7,"teacher_disagreement_score":0.9849614,"about_ca_system_score_codex":0.000018586257,"about_ca_system_score_gemma":9.3274275e-7,"threshold_uncertainty_score":0.97366595},"labels":[],"label_agreement":null},{"id":"W4402905390","doi":"10.1167/jov.24.10.968","title":"From Curvature to Contour: Hierarchical Representations of Contour Shapes in Terms of Constant Curvature Segments","year":2024,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Curvature; Constant (computer programming); Contour line; Constant curvature; Geometry; Center of curvature; Mathematics; Mean curvature; Mathematical analysis; Physics; Computer science","score_opus":0.008363274935419013,"score_gpt":0.3138665805804382,"score_spread":0.3055033056450192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402905390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8336979,0.005433289,0.15660074,0.0016316774,0.00047478682,0.00034623093,0.00018865937,0.00012922006,0.0014975107],"genre_scores_gemma":[0.9799652,0.00027367883,0.01957279,0.00003672796,0.00010548859,0.0000019661966,0.0000050528865,0.000017543198,0.000021545453],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986265,0.000045229794,0.00073514617,0.00012540608,0.00034439453,0.00012337374],"domain_scores_gemma":[0.9993135,0.00023575494,0.00014242249,0.0001272185,0.00008816418,0.000092947936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018315058,0.00012280412,0.00044792722,0.00032584317,0.000010573464,0.000019114937,0.0001593728,0.00010268178,0.000059338825],"category_scores_gemma":[0.00014069953,0.00009293252,0.00016316061,0.0004647482,0.00003933585,0.00023592565,0.00004239293,0.00046879688,0.0000017303702],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018841677,0.00017196054,0.0031735871,0.00013774022,0.00035754938,0.00021997208,0.0012554078,0.014232353,0.9391235,0.00058652135,0.009561092,0.030991884],"study_design_scores_gemma":[0.0048471196,0.0030666343,0.16490121,0.018712427,0.0009796801,0.00019507643,0.0012348379,0.18108743,0.43828297,0.14288428,0.042107936,0.00170041],"about_ca_topic_score_codex":0.000022869082,"about_ca_topic_score_gemma":0.000015698317,"teacher_disagreement_score":0.50084054,"about_ca_system_score_codex":0.000070278744,"about_ca_system_score_gemma":0.00001671331,"threshold_uncertainty_score":0.3789678},"labels":[],"label_agreement":null},{"id":"W4403096939","doi":"10.1016/j.comgeo.2024.102147","title":"Computing Euclidean distance and maximum likelihood retraction maps for constrained optimization","year":2024,"lang":"en","type":"article","venue":"Computational Geometry","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fields Institute for Research in Mathematical Sciences","keywords":"Euclidean distance; Maximum likelihood; Euclidean geometry; Computer science; Mathematical optimization; Constrained optimization problem; Mathematics; Combinatorics; Algorithm; Optimization problem; Artificial intelligence; Statistics; Geometry","score_opus":0.007015648072327307,"score_gpt":0.25176641300134794,"score_spread":0.24475076492902065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403096939","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025420126,0.00091908337,0.99477834,0.0001325153,0.00021235387,0.00015591182,0.000049676975,0.000859536,0.00035054993],"genre_scores_gemma":[0.67365104,0.0000295808,0.32593057,0.000035535897,0.00010183042,0.000009018314,0.0002025444,0.000025225074,0.000014643834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992387,0.00000992318,0.0002369879,0.00022049864,0.00013475388,0.000159099],"domain_scores_gemma":[0.9994431,0.0003358873,0.00002889415,0.00006104636,0.00007452293,0.000056543962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013383938,0.00012536276,0.00014580227,0.00021036627,0.000075633514,0.00008820625,0.000051585306,0.000065910324,0.000016826245],"category_scores_gemma":[0.000051664898,0.0001344533,0.000055258868,0.0005268563,0.000043632088,0.00019018188,0.000017345968,0.00013730886,0.000004813359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003991075,0.000008098842,0.00006177299,0.00014713686,0.000044743312,0.0000023942246,0.000024716672,0.9199537,0.00008844341,0.0024987832,0.00067770435,0.07648852],"study_design_scores_gemma":[0.0001059448,0.000022502032,0.00017865418,0.00005781818,0.000021756272,0.000012203413,0.000022267852,0.9544431,0.00011259642,0.0423896,0.0024851747,0.0001483774],"about_ca_topic_score_codex":8.086408e-7,"about_ca_topic_score_gemma":3.4798848e-7,"teacher_disagreement_score":0.6711091,"about_ca_system_score_codex":0.00007410072,"about_ca_system_score_gemma":0.000011966156,"threshold_uncertainty_score":0.5482846},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high"},{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W4403192332","doi":"10.1007/s00186-024-00866-z","title":"How to project onto the intersection of a closed affine subspace and a hyperplane","year":2024,"lang":"en","type":"article","venue":"Mathematical Methods of Operations Research","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Hyperplane; Affine transformation; Intersection (aeronautics); Subspace topology; Mathematics; Affine hull; Affine space; Combinatorics; Computer science; Pure mathematics; Mathematical analysis; Geography","score_opus":0.1063795417632415,"score_gpt":0.4923671252131184,"score_spread":0.3859875834498769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403192332","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044033084,0.0002671751,0.95228106,0.0014845332,0.00001505257,0.0004988297,0.000005764839,0.00010034147,0.0013141541],"genre_scores_gemma":[0.41672605,0.000023303523,0.5826492,0.0000032327719,0.000017769178,0.00013281153,9.3542604e-7,0.000013688661,0.00043305033],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989806,0.0002685413,0.00020977738,0.00014018008,0.00025249712,0.00014841522],"domain_scores_gemma":[0.9985284,0.0010425881,0.0000052643018,0.00024138633,0.00014003375,0.0000422834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016117758,0.00008013154,0.00021877083,0.00023211278,0.00004894145,0.000090948284,0.00014275077,0.000042214782,0.00003186724],"category_scores_gemma":[0.0013712957,0.00004946183,0.000045771827,0.0009432647,0.00012411024,0.00010564599,0.00008069328,0.00024219911,0.000003353706],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021871743,0.00009018689,0.0000033565223,0.00097089476,0.00014730297,0.0000026490732,0.0034518123,0.001718681,0.7738306,0.083908804,0.000891995,0.13496187],"study_design_scores_gemma":[0.00006863386,0.0002900848,0.000023988383,0.0002617293,0.000034818582,0.000016982338,0.0015735433,0.6870628,0.28928384,0.018038169,0.003223066,0.00012235373],"about_ca_topic_score_codex":0.000035531284,"about_ca_topic_score_gemma":0.00004596961,"teacher_disagreement_score":0.6853441,"about_ca_system_score_codex":0.000049381888,"about_ca_system_score_gemma":0.000020838857,"threshold_uncertainty_score":0.20169948},"labels":[],"label_agreement":null},{"id":"W4403344798","doi":"10.48550/arxiv.2410.06330","title":"Local Surface Parameterizations via Smoothed Geodesic Splines","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geodesic; Surface (topology); Mathematics; Geometry; Computer science","score_opus":0.03639197818036224,"score_gpt":0.18647765186291582,"score_spread":0.15008567368255357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403344798","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17211024,0.00020179932,0.82423335,0.00002618205,0.00021287004,0.00017982093,0.00003659275,0.0019056598,0.0010934632],"genre_scores_gemma":[0.9935417,0.00038279916,0.004833141,0.000022374878,0.00004490106,0.0000018163914,0.0000647614,0.000088567635,0.0010199031],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986839,0.000038655147,0.00023383638,0.00066525064,0.00006805681,0.00031026526],"domain_scores_gemma":[0.9989847,0.000070793634,0.00006260729,0.00067973125,0.00007084081,0.0001313474],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006389239,0.00039031575,0.00042832366,0.00021025178,0.000057427405,0.00004635645,0.0004786581,0.00031006493,0.00008463134],"category_scores_gemma":[0.000011767551,0.0004440428,0.00027942582,0.00081491866,0.00014730598,0.0000906208,0.0006024858,0.0007238493,0.0002311507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005912239,0.000021693982,0.00010274508,0.00015861688,0.00018773916,0.000101285594,0.00002096556,0.9941411,0.0007339431,0.0035912578,0.00019305045,0.0007416869],"study_design_scores_gemma":[0.000063170155,0.000013008098,0.00003879579,0.00008150062,0.0002459102,0.0000017347777,0.000018969122,0.90147173,0.0020069953,0.09487495,0.0007289562,0.00045430494],"about_ca_topic_score_codex":0.0000784728,"about_ca_topic_score_gemma":0.000030413377,"teacher_disagreement_score":0.8214315,"about_ca_system_score_codex":0.00027992032,"about_ca_system_score_gemma":0.000030102154,"threshold_uncertainty_score":0.99980116},"labels":[],"label_agreement":null},{"id":"W4403441366","doi":"10.1016/j.mfglet.2024.09.047","title":"Jerk limited continuous tool path generation for flexible systems in non-cartesian coordinate systems","year":2024,"lang":"en","type":"article","venue":"Manufacturing Letters","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Cartesian coordinate system; Jerk; Coordinate system; Computer science; Path (computing); Control theory (sociology); Control engineering; Mathematics; Computer vision; Engineering; Artificial intelligence; Geometry; Physics; Classical mechanics","score_opus":0.010231346536816207,"score_gpt":0.2224897981307121,"score_spread":0.2122584515938959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403441366","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42887393,0.00087475294,0.56666124,0.00024487046,0.00087375735,0.0007543756,0.000019486786,0.0015965891,0.00010098281],"genre_scores_gemma":[0.9972273,0.000021479631,0.0014470776,0.000121960475,0.0003677057,0.00048188373,0.000058644957,0.00008405394,0.00018989462],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986478,0.000023296907,0.00041677261,0.00035630926,0.00015729568,0.00039849992],"domain_scores_gemma":[0.99954915,0.00008486892,0.00003759434,0.0002617606,0.0000152253915,0.000051390285],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001944905,0.00025838008,0.00037192646,0.00031007634,0.000051978048,0.00026590598,0.00014777675,0.0000954788,0.0000031069105],"category_scores_gemma":[0.000010947541,0.00024930868,0.00010998939,0.00019692916,0.000017947776,0.00024327243,0.000021406302,0.00020819831,0.000022301349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007649688,0.000012533974,0.0000798979,0.0009939604,0.00012127428,0.000080411664,0.00015822814,0.7422691,0.23800814,0.00011110994,0.011794997,0.006362682],"study_design_scores_gemma":[0.00022358312,0.00003571036,0.00022206875,0.0003412245,0.00004534187,0.00001091274,0.000046012883,0.86254555,0.11591081,0.000029153383,0.020138953,0.00045069467],"about_ca_topic_score_codex":0.00011836836,"about_ca_topic_score_gemma":0.0000043003743,"teacher_disagreement_score":0.56835335,"about_ca_system_score_codex":0.00028316796,"about_ca_system_score_gemma":0.0000043171085,"threshold_uncertainty_score":0.9999959},"labels":[],"label_agreement":null},{"id":"W4403498095","doi":"10.1111/cgf.15184","title":"Generalized eXtended Finite Element Method for Deformable Cutting via Boolean Operations","year":2024,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; École de Technologie Supérieure","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Finite element method; Element (criminal law); Computer graphics (images); Theoretical computer science; Algorithm; Structural engineering; Engineering","score_opus":0.012159998005086005,"score_gpt":0.2861998258131087,"score_spread":0.2740398278080227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403498095","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00025252014,0.00068735366,0.99653774,0.00030718883,0.00033654072,0.00032470698,0.000021195001,0.0014439815,0.000088782836],"genre_scores_gemma":[0.06603667,0.00015233603,0.93256545,0.000556701,0.00018710937,0.0002337921,0.000107614964,0.00007313619,0.00008717727],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877924,0.000023968443,0.00036902018,0.0002841956,0.00013346266,0.00041011337],"domain_scores_gemma":[0.9994536,0.00011710411,0.000017669056,0.0002645208,0.000064471526,0.00008264362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022930415,0.00021442493,0.00024962862,0.00027281314,0.00016643073,0.00013282974,0.00019882039,0.00007270267,0.0000133264775],"category_scores_gemma":[0.0000073831498,0.00019769045,0.00025216024,0.0005292277,0.000020326679,0.00026338594,0.000084233405,0.00019161134,0.000008632759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000063371235,0.000036903173,0.000025008745,0.00021078758,0.00041909967,0.000008283883,0.00014846721,0.6179219,0.002224441,0.18293051,0.007311111,0.18875715],"study_design_scores_gemma":[0.00012769294,0.000057124613,0.0000045689344,0.000036225407,0.000049368035,0.0000049261544,0.0000055607784,0.8987944,0.0052481284,0.026594892,0.06885212,0.00022496954],"about_ca_topic_score_codex":0.000011981818,"about_ca_topic_score_gemma":0.000022280905,"teacher_disagreement_score":0.28087252,"about_ca_system_score_codex":0.00005550791,"about_ca_system_score_gemma":0.000010292043,"threshold_uncertainty_score":0.80615824},"labels":[],"label_agreement":null},{"id":"W4403574166","doi":"10.4153/s0008439525101422","title":"A new hierarchy for complex plane curves","year":2025,"lang":"en","type":"preprint","venue":"Canadian Mathematical Bulletin","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; European Commission","keywords":"Hierarchy; Plane (geometry); Plane curve; Geometry; Mathematics; Computer science; Political science","score_opus":0.02110817757092715,"score_gpt":0.2634217457220724,"score_spread":0.24231356815114524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403574166","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000034670396,0.0016274066,0.9445604,0.009859206,0.000118491145,0.0012443172,0.0007637772,0.00084840483,0.040943343],"genre_scores_gemma":[0.008653128,0.0008187461,0.9590609,0.0057712337,0.0005091421,0.0012161036,0.0010639546,0.00022112523,0.022685632],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99842274,0.000021940596,0.00047818242,0.00037096738,0.00016147998,0.00054466864],"domain_scores_gemma":[0.9982805,0.000323405,0.000048276393,0.000579954,0.00005953164,0.00070828764],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013389617,0.00038184784,0.00075576163,0.00026850056,0.00005534266,0.000049572594,0.00056127977,0.00029380628,0.008031781],"category_scores_gemma":[0.00031698763,0.00039329333,0.00025821436,0.00015010561,0.00005178068,0.000011020598,0.00011857946,0.00052919926,0.00073970883],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000031890627,0.0000104073115,0.0000012287258,0.004254598,0.00014992854,0.000012078313,0.000030570947,0.00089017814,0.000025735957,0.014013664,0.9756209,0.004987498],"study_design_scores_gemma":[0.000116881376,0.000016413058,0.0000070997703,0.0015480616,0.00013125195,0.0000031341365,0.000005103139,0.013344843,0.0001725108,0.15816218,0.82596934,0.00052320544],"about_ca_topic_score_codex":0.00081666,"about_ca_topic_score_gemma":0.0008760188,"teacher_disagreement_score":0.1496516,"about_ca_system_score_codex":0.0003434963,"about_ca_system_score_gemma":0.00024711623,"threshold_uncertainty_score":0.9998519},"labels":[],"label_agreement":null},{"id":"W4403679085","doi":"10.1090/tran/9328","title":"K-classes of delta-matroids and equivariant localization","year":2024,"lang":"en","type":"preprint","venue":"Transactions of the American Mathematical Society","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Equivariant map; Matroid; Delta; Mathematics; Combinatorics; Pure mathematics; Physics","score_opus":0.01014972875905998,"score_gpt":0.2636257157389385,"score_spread":0.2534759869798785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403679085","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023454675,0.00034781557,0.97505677,0.00020897273,0.000048076425,0.00021533658,0.00008148745,0.00027648578,0.0003103998],"genre_scores_gemma":[0.90916795,0.0006281828,0.09003926,0.000024463441,0.000015138092,0.000042109,0.000003207701,0.00004789481,0.000031769352],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883217,0.000032321608,0.0005161573,0.00020463274,0.0002563899,0.00015833956],"domain_scores_gemma":[0.999081,0.00016081674,0.00017962934,0.00046523038,0.00006133851,0.000051998006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012697243,0.00022966818,0.0006634423,0.00004331141,0.000042319316,0.00001633369,0.00027927503,0.00010493316,0.00004042147],"category_scores_gemma":[0.000022024062,0.00016488727,0.00058894977,0.00048108108,0.0006932198,0.000031145042,0.00011509477,0.00050370547,0.0000021422966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003803822,0.0007540747,0.00009416458,0.027207976,0.0060225762,0.0000019922484,0.005632338,0.8162355,0.06803191,0.018168317,0.002308112,0.055505034],"study_design_scores_gemma":[0.00006534367,0.000056055305,0.0000550566,0.0005911256,0.0010120469,0.0000061487835,0.0004622284,0.6931798,0.030556722,0.27361673,0.00008698815,0.00031175234],"about_ca_topic_score_codex":0.000051152852,"about_ca_topic_score_gemma":0.000002339686,"teacher_disagreement_score":0.8857133,"about_ca_system_score_codex":0.00007351178,"about_ca_system_score_gemma":0.000025854852,"threshold_uncertainty_score":0.6723908},"labels":[],"label_agreement":null},{"id":"W4403815834","doi":"10.48550/arxiv.2409.20455","title":"Planarity of compactifications of $\\mathbb{R}$ with arc-like remainder","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Remainder; Arc (geometry); Planarity testing; Combinatorics; Mathematics; Arithmetic; Geometry","score_opus":0.04895455346339598,"score_gpt":0.18640576153238614,"score_spread":0.13745120806899017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403815834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55241317,0.00015395792,0.4389593,0.000030430614,0.000098082375,0.000274029,0.00014492597,0.0006441004,0.007282027],"genre_scores_gemma":[0.996373,0.0001419609,0.003132236,0.0000047501644,0.000012742811,0.0000011066984,0.000035172023,0.0000338026,0.00026524326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991218,0.000027385007,0.00023627008,0.0003759353,0.000080245016,0.00015838334],"domain_scores_gemma":[0.99889094,0.000069801055,0.00014381617,0.00070538075,0.000115105635,0.00007497264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007135487,0.00022624998,0.00046348516,0.00030227614,0.000023106866,0.00000785062,0.0003715006,0.00017030424,0.00003384239],"category_scores_gemma":[0.000008591632,0.00022782951,0.00017008284,0.0006425483,0.00017460351,0.000055587272,0.00024564154,0.00055360683,0.000010776271],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036212663,0.00008958431,0.001306541,0.0008750765,0.0006129335,0.000055380013,0.00014337707,0.96691334,0.001305779,0.028037734,0.00046610003,0.00015792683],"study_design_scores_gemma":[0.00044241454,0.00014242421,0.0043043583,0.0010757828,0.001599218,0.000010558217,0.0004809169,0.78545976,0.01489292,0.18888564,0.00144993,0.0012560508],"about_ca_topic_score_codex":0.00011013403,"about_ca_topic_score_gemma":0.00007116303,"teacher_disagreement_score":0.44395983,"about_ca_system_score_codex":0.0001326082,"about_ca_system_score_gemma":0.00004507417,"threshold_uncertainty_score":0.9290618},"labels":[],"label_agreement":null},{"id":"W4403938235","doi":"10.23919/eumc61614.2024.10732163","title":"Monolithically-Integrated Quarter-Spherical Bandstop Filters","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Science Foundation Ireland","keywords":"Quarter (Canadian coin); Band-stop filter; Computer science; Telecommunications; Bandwidth (computing); Low-pass filter","score_opus":0.004906508682896967,"score_gpt":0.22315822135608554,"score_spread":0.21825171267318857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403938235","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005918248,0.00040012028,0.96278477,0.0003296073,0.00011734722,0.00006445554,0.0000036438473,0.0055837594,0.02479807],"genre_scores_gemma":[0.9471104,0.00006820242,0.051396485,0.00013915467,0.000057705463,0.00003226562,0.000010888613,0.000041134164,0.0011437546],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99922407,0.000017278597,0.00020446356,0.00020549606,0.00012342806,0.0002252441],"domain_scores_gemma":[0.9996316,0.000063735904,0.0000050156755,0.0001843535,0.000018959121,0.000096344986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005951363,0.00015808501,0.00018225101,0.000063796266,0.000018811155,0.000062952095,0.00012688019,0.00008743379,0.00085405423],"category_scores_gemma":[0.000012691779,0.00011927076,0.000114067974,0.00051082205,0.000033320004,0.00013332978,0.000015795637,0.00028255285,0.0003113838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022320444,0.000116258685,0.00025061733,0.000310418,0.00069322134,0.0003403361,0.0006554157,0.017380614,0.09948276,0.017578585,0.24184392,0.62132555],"study_design_scores_gemma":[0.000070443166,0.00007429696,0.00016910247,0.000054255375,0.000037057634,0.000014107067,0.00009486507,0.7575527,0.026572365,0.0034945582,0.21144594,0.00042033294],"about_ca_topic_score_codex":0.000016462818,"about_ca_topic_score_gemma":0.000004343771,"teacher_disagreement_score":0.94119215,"about_ca_system_score_codex":0.000085112435,"about_ca_system_score_gemma":0.000006955156,"threshold_uncertainty_score":0.9351295},"labels":[],"label_agreement":null},{"id":"W4403979583","doi":"10.5206/mt.v4i3.21606","title":"How to Deal With Interpolation Points That Are Not Well-Spaced in Polynomial and Rational Interpolation","year":2024,"lang":"en","type":"article","venue":"Maple Transactions","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interpolation (computer graphics); Polynomial interpolation; Birkhoff interpolation; Mathematics; Bilinear interpolation; Polynomial; Applied mathematics; Multivariate interpolation; Nearest-neighbor interpolation; Spline interpolation; Linear interpolation; Mathematical optimization; Computer science; Mathematical analysis; Statistics; Computer graphics (images)","score_opus":0.009966671088081842,"score_gpt":0.22825064523347738,"score_spread":0.21828397414539555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403979583","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.032465022,0.00004399265,0.96365273,0.0030361742,0.000052271356,0.00016725658,0.000020817613,0.00038242416,0.00017931196],"genre_scores_gemma":[0.9619342,0.00001619951,0.037664358,0.000053405776,0.00003494633,0.0000396354,0.000014511718,0.000025610929,0.00021712152],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994364,0.000015664173,0.00011626667,0.0001875323,0.00011332071,0.00013082098],"domain_scores_gemma":[0.99978256,0.00005073738,0.00001314213,0.000078207886,0.000015865337,0.00005949043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000046014364,0.0001245004,0.00012838529,0.000295075,0.000039745595,0.000103949686,0.000042877524,0.000051084564,0.00007067551],"category_scores_gemma":[0.0000022135443,0.00011634946,0.000036458507,0.00033911972,0.000020227713,0.0003831621,0.0000035062674,0.00017841342,0.000009572677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014148009,0.00033678228,0.011676562,0.0010049329,0.0011669487,0.000128159,0.012770292,0.16759199,0.31237563,0.0020015137,0.008653515,0.48087886],"study_design_scores_gemma":[0.00045990763,0.00013310641,0.012689225,0.00028556449,0.00008175852,0.00002702266,0.0007969277,0.939517,0.022589495,0.0004393673,0.0224497,0.0005309084],"about_ca_topic_score_codex":0.00004014334,"about_ca_topic_score_gemma":0.0013081328,"teacher_disagreement_score":0.92946917,"about_ca_system_score_codex":0.000097182456,"about_ca_system_score_gemma":0.000007756137,"threshold_uncertainty_score":0.47445932},"labels":[],"label_agreement":null},{"id":"W4404088051","doi":"10.48550/arxiv.2410.14788","title":"Polynomial Scaling is Possible For Neural Operator Approximations of Structured Families of BSDEs","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada; Government of Canada; Canadian Institute for Advanced Research","keywords":"Logarithm; Constant (computer programming); Rank (graph theory); Mathematics; Artificial neural network; Statistics; Computer science; Artificial intelligence; Mathematical analysis; Combinatorics","score_opus":0.036527438342935765,"score_gpt":0.20173619765748294,"score_spread":0.16520875931454718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404088051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8634464,0.0002460497,0.13474245,0.000013801751,0.00016744915,0.00033488142,0.00038749859,0.00031316417,0.00034828173],"genre_scores_gemma":[0.99046546,0.0001127188,0.009156625,0.000007303963,0.00004457308,0.0000032040969,0.000035379308,0.000039199913,0.00013554744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909055,0.00001644208,0.00029516083,0.00036645422,0.000055380293,0.00017602128],"domain_scores_gemma":[0.9992652,0.000058450718,0.00010944303,0.00038380618,0.00012748587,0.000055592267],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000049339542,0.00023739002,0.00047521258,0.00034054136,0.00003809423,0.000016560452,0.00036195698,0.00019760299,0.00001931238],"category_scores_gemma":[0.000021883923,0.00025594857,0.00032565056,0.0004662803,0.000112784175,0.00009030769,0.00032647574,0.00029161834,0.0000015534885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003172555,0.00002222017,0.00028180456,0.0011085673,0.0003278248,0.000003855859,0.00028363842,0.9835553,0.010789571,0.0021841745,0.00037831973,0.0010329735],"study_design_scores_gemma":[0.00017314438,0.00003025545,0.000091504684,0.000132172,0.00031651778,4.966968e-7,0.00022567285,0.89189374,0.09273432,0.013999364,0.0001097431,0.0002930941],"about_ca_topic_score_codex":0.000058015034,"about_ca_topic_score_gemma":0.000011652042,"teacher_disagreement_score":0.12701902,"about_ca_system_score_codex":0.00009285987,"about_ca_system_score_gemma":0.000038136764,"threshold_uncertainty_score":0.9999893},"labels":[],"label_agreement":null},{"id":"W4404198960","doi":"10.1007/978-3-030-54621-2_446-1","title":"Nondifferentiable Optimization: Cutting Plane Methods","year":2024,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Optimization","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Waterloo","funders":"","keywords":"Plane (geometry); Cutting-plane method; Computer science; Mathematics; Geometry; Algorithm","score_opus":0.008230566604085835,"score_gpt":0.26013108017947134,"score_spread":0.2519005135753855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404198960","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[1.8306515e-7,0.0012335434,0.53823555,0.000009357071,0.00024860707,0.00014173481,0.000018808254,0.0005425783,0.45956966],"genre_scores_gemma":[0.000018850471,0.00945548,0.7844974,0.000009021041,0.00021054302,0.00002364062,0.00056313176,0.00020176405,0.2050202],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99838436,0.000015541595,0.0007243991,0.0003825191,0.00027159843,0.0002215594],"domain_scores_gemma":[0.99910414,0.00010821304,0.00020710148,0.00037995385,0.000119345146,0.00008125022],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001319485,0.00044628067,0.00064403506,0.00041727046,0.000041856427,0.00003303978,0.00022585032,0.00039863182,0.0018792865],"category_scores_gemma":[0.000035297195,0.00046162817,0.00019266427,0.00019078879,0.0000542304,0.00018654132,0.00008494881,0.00041134725,0.00003494254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000027746253,0.0000064850756,0.0000011497095,0.0002465431,0.00015171584,0.0000049571695,0.00003830141,0.98861295,0.000012663321,0.004338946,0.0013086613,0.0052748593],"study_design_scores_gemma":[0.00007405047,0.000031331805,1.935105e-7,0.00029470402,0.00034647458,0.000004688269,0.000004428412,0.9068086,0.0004134764,0.0044630812,0.08707471,0.00048423148],"about_ca_topic_score_codex":0.0000021743151,"about_ca_topic_score_gemma":4.807121e-7,"teacher_disagreement_score":0.25454947,"about_ca_system_score_codex":0.00011320295,"about_ca_system_score_gemma":0.000021094944,"threshold_uncertainty_score":0.9997835},"labels":[],"label_agreement":null},{"id":"W4404294214","doi":"10.1109/tmtt.2024.3487573","title":"Efficient Mesh Space Mapping Optimization for Tunable Filters Incorporating Structurally Simplified Coarse Mesh Model Without Tunable Elements","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"State Key Laboratory of Information Photonics and Optical Communications; National Natural Science Foundation of China","keywords":"Space mapping; Mesh generation; Space (punctuation); Finite element method; Materials science; Computer science; Electronic engineering; Topology (electrical circuits); Algorithm; Engineering; Electrical engineering; Structural engineering","score_opus":0.01082421021402812,"score_gpt":0.24785527490157172,"score_spread":0.2370310646875436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404294214","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020032546,0.000109422406,0.97621834,0.000038504713,0.00007726272,0.00075888704,0.00007909075,0.0022686815,0.00041724744],"genre_scores_gemma":[0.6445241,0.00008687797,0.35479853,0.000048024984,0.000016297055,0.00021404655,0.000014539504,0.00006380192,0.0002338193],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864537,0.000059327045,0.00041434998,0.0004147209,0.00013725173,0.0003290075],"domain_scores_gemma":[0.99937606,0.00015357933,0.000064696615,0.00024644617,0.000074126525,0.00008508749],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046148914,0.00033464323,0.0003227455,0.0003433842,0.00024277487,0.000119107644,0.00013900675,0.00014117222,0.000030427216],"category_scores_gemma":[0.000008585857,0.0003196385,0.00013982554,0.00036474623,0.000096115546,0.00021183844,0.000004728907,0.00029736003,0.000001647962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005511969,0.000021720562,3.0978848e-7,0.00017264126,0.00009558349,0.0000019058813,0.00016580228,0.56865656,0.40892848,0.0031475138,0.00008060296,0.018673768],"study_design_scores_gemma":[0.000078654666,0.000042897438,2.7097016e-8,0.000120932425,0.00006118703,0.000005069904,0.00007409052,0.5144545,0.47139466,0.0134823965,0.00007359486,0.00021202603],"about_ca_topic_score_codex":0.000004038541,"about_ca_topic_score_gemma":0.0000029237192,"teacher_disagreement_score":0.6244915,"about_ca_system_score_codex":0.00015871224,"about_ca_system_score_gemma":0.00002293568,"threshold_uncertainty_score":0.99992555},"labels":[],"label_agreement":null},{"id":"W4404358019","doi":"10.1007/s00029-024-00995-7","title":"Crystallinity of rigid flat connections revisited","year":2024,"lang":"en","type":"article","venue":"Selecta Mathematica","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Crystallinity; Geometry; Materials science; Composite material; Mathematics","score_opus":0.00987608308138879,"score_gpt":0.25871217723567025,"score_spread":0.24883609415428146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404358019","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029688219,0.0014329146,0.9273739,0.00011439924,0.000063341206,0.00026306137,0.000020560296,0.0033147025,0.037728928],"genre_scores_gemma":[0.97052944,0.00012233054,0.029029101,0.000008949981,0.0000311582,0.000022169039,0.0000063280154,0.00003495911,0.00021556788],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999312,0.0000135371465,0.0002868795,0.00012703917,0.00011682326,0.00014375352],"domain_scores_gemma":[0.9994981,0.0001815413,0.000020157426,0.00021522258,0.000041942338,0.00004301195],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009832652,0.00011389407,0.0002498349,0.00012415474,0.0000239122,0.000022086082,0.00010321124,0.000048918435,0.00035729236],"category_scores_gemma":[0.00009507335,0.000097914664,0.00010353673,0.00071688666,0.000032145294,0.000101425314,0.000016987475,0.0001457208,0.00008221721],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015006792,0.00021335295,0.000052857755,0.009237807,0.0015357465,0.00004528686,0.0017367913,0.0025626363,0.61747646,0.30809754,0.038193688,0.020832798],"study_design_scores_gemma":[0.00010697899,0.00011376334,0.000018554354,0.0007784086,0.0002790473,0.00004266437,0.000053296764,0.42403156,0.245025,0.29285237,0.036152165,0.0005462046],"about_ca_topic_score_codex":0.0000016205945,"about_ca_topic_score_gemma":0.0000012362904,"teacher_disagreement_score":0.9408412,"about_ca_system_score_codex":0.000038710554,"about_ca_system_score_gemma":0.000008548623,"threshold_uncertainty_score":0.39928442},"labels":[],"label_agreement":null},{"id":"W4404505512","doi":"10.1007/s00366-024-02087-8","title":"Editorial: Special issue on isogeometric analysis","year":2024,"lang":"en","type":"editorial","venue":"Engineering With Computers","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Isogeometric analysis; Computer science; Engineering; Structural engineering; Finite element method","score_opus":0.0019892286540631565,"score_gpt":0.2042535799337635,"score_spread":0.20226435127970036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404505512","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000004360366,0.0002325484,0.16673498,0.000012495562,0.8290739,0.00015463303,0.00008415379,0.003097079,0.0006058762],"genre_scores_gemma":[0.00007862244,0.00017973469,0.012364706,0.000007337902,0.98630804,0.000058033842,0.00033570925,0.0003109757,0.00035681247],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.996655,0.000016116894,0.0005127866,0.00079748285,0.0014014309,0.0006171889],"domain_scores_gemma":[0.9979237,0.0009076356,0.000078522375,0.00072869373,0.00013868585,0.0002228106],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017059575,0.00089315325,0.0012602494,0.0031871088,0.0000409413,0.00022244667,0.0006498601,0.0007599243,0.00007130751],"category_scores_gemma":[0.00016828185,0.0008065657,0.00049241155,0.006076618,0.000033066528,0.00012436432,0.000103016515,0.0020184952,0.00028919804],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006660965,0.000010014578,4.1428956e-7,0.00012928492,0.0015711465,0.0000260808,0.000017201286,0.42839018,0.0000026934395,0.0000057788216,0.5684407,0.0013998802],"study_design_scores_gemma":[0.00012695107,0.0001554606,0.0000020615978,0.00024091636,0.0011327879,5.2907603e-7,0.0000015105512,0.0935758,0.000054590302,0.000010858458,0.9038659,0.0008326611],"about_ca_topic_score_codex":0.000013250684,"about_ca_topic_score_gemma":0.000004055938,"teacher_disagreement_score":0.3354252,"about_ca_system_score_codex":0.0005952409,"about_ca_system_score_gemma":0.00003683799,"threshold_uncertainty_score":0.9994385},"labels":[],"label_agreement":null},{"id":"W4404955263","doi":"10.1090/proc/17131","title":"Approximating rational points on surfaces","year":2024,"lang":"lv","type":"preprint","venue":"Proceedings of the American Mathematical Society","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Simons Foundation","keywords":"Mathematics","score_opus":0.01244236001423306,"score_gpt":0.2652882494006703,"score_spread":0.25284588938643726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404955263","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93139994,0.00042880667,0.019466715,0.008371812,0.0003240142,0.0022092767,0.0001705418,0.001815859,0.035813008],"genre_scores_gemma":[0.69726247,0.00021285094,0.30102602,0.00035508524,0.00024089812,0.00019772835,0.00000555605,0.00019886112,0.00050053187],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9955873,0.000022788709,0.001489898,0.0008964398,0.0013410887,0.0006625068],"domain_scores_gemma":[0.9971535,0.0005655204,0.0013069622,0.00045289853,0.00033968993,0.00018141569],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009616337,0.0008455345,0.0017402391,0.00008248503,0.00019580791,0.00020533334,0.0014061043,0.00025629485,0.00010219176],"category_scores_gemma":[0.0007613682,0.00059190055,0.0018668609,0.0013400865,0.001217997,0.00011561232,0.0020987533,0.0021964705,0.00015849204],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020181984,0.0026230935,0.0013505516,0.05864286,0.010402423,0.0000034760562,0.01949744,0.023072928,0.16957633,0.6353269,0.0530572,0.02624493],"study_design_scores_gemma":[0.00010941743,0.00012719753,0.00020531849,0.002834477,0.0005846523,0.000007909506,0.0017581698,0.3010505,0.029888157,0.66236305,0.00027927873,0.0007918595],"about_ca_topic_score_codex":0.000016988834,"about_ca_topic_score_gemma":1.5645547e-7,"teacher_disagreement_score":0.2815593,"about_ca_system_score_codex":0.00046599124,"about_ca_system_score_gemma":0.000055804576,"threshold_uncertainty_score":0.9996532},"labels":[],"label_agreement":null},{"id":"W4405033119","doi":"10.48550/arxiv.2412.01682","title":"Diffusion Models with Anisotropic Gaussian Splatting for Image Inpainting","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Institute for Advanced Research","keywords":"Inpainting; Anisotropic diffusion; Gaussian; Diffusion; Image (mathematics); Computer science; Anisotropy; Artificial intelligence; Computer vision; Physics; Optics","score_opus":0.03165933676979973,"score_gpt":0.1829910899540156,"score_spread":0.15133175318421588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405033119","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20032337,0.00008076847,0.79507256,0.000021237967,0.00008079446,0.00032415058,0.000023388802,0.0013589618,0.0027147501],"genre_scores_gemma":[0.9582297,0.00013975753,0.04092701,0.0000146914335,0.00009245259,0.0000061919177,0.00003603822,0.000107434396,0.00044671004],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985771,0.000022163074,0.000214801,0.0007291795,0.00007028691,0.00038645556],"domain_scores_gemma":[0.99914694,0.00006920079,0.00009656569,0.0004968209,0.000077318495,0.00011315427],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008879399,0.00039638078,0.00043413378,0.00028553014,0.00010362486,0.00007483439,0.00037830631,0.00023115307,0.000014665615],"category_scores_gemma":[0.000012876779,0.0003942482,0.0002348755,0.0004496692,0.00007110055,0.00019132183,0.0006031138,0.0006939814,0.0000154793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025234682,0.000023404267,0.0001315523,0.0007639788,0.00020089408,0.00017823202,0.0001005624,0.97323126,0.0012011753,0.022846347,0.00009835162,0.001199023],"study_design_scores_gemma":[0.00016419907,0.00003081633,0.000017893211,0.0003410906,0.00023466664,0.0000024771832,0.00007760925,0.8689131,0.0008849304,0.12875505,0.00014754942,0.00043060863],"about_ca_topic_score_codex":0.00003944811,"about_ca_topic_score_gemma":0.000027441562,"teacher_disagreement_score":0.7579063,"about_ca_system_score_codex":0.00029593168,"about_ca_system_score_gemma":0.0000233681,"threshold_uncertainty_score":0.9998509},"labels":[],"label_agreement":null},{"id":"W4405035676","doi":"10.48550/arxiv.2412.02015","title":"Certifying nontriviality of Ceresa classes of curves","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo; National Science Foundation","keywords":"Mathematics; Calculus (dental); Computer science; Geology; Medicine; Orthodontics","score_opus":0.07077175928853163,"score_gpt":0.20713104555285836,"score_spread":0.13635928626432672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405035676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.678861,0.0047939387,0.30207837,0.00005817261,0.00042181017,0.00048432924,0.00021750988,0.001424001,0.011660837],"genre_scores_gemma":[0.9956625,0.0031401587,0.0009120511,0.000007774084,0.000028268467,9.280908e-7,0.000016597913,0.0000353137,0.00019637877],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890995,0.000047404996,0.00034647266,0.00041546527,0.00008704762,0.00019364593],"domain_scores_gemma":[0.99892974,0.00010612324,0.00016533451,0.0006066288,0.00012366485,0.00006852568],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000117369804,0.0002557323,0.0006253913,0.00026280945,0.000016714252,0.0000071877016,0.0004635534,0.00021275059,0.000057804544],"category_scores_gemma":[0.00004890936,0.0002839659,0.00036060493,0.0006330716,0.00013102326,0.00007383122,0.0006876177,0.0005405983,0.000010091567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005225283,0.00015987498,0.0055007464,0.016076133,0.0013496912,0.000132949,0.00013128386,0.94816655,0.0072616804,0.01725641,0.0019769995,0.0019354098],"study_design_scores_gemma":[0.00043757496,0.000114241535,0.002292658,0.006341096,0.0022128746,0.0000029399662,0.00015761385,0.5862634,0.12010683,0.27847365,0.0019018125,0.0016953077],"about_ca_topic_score_codex":0.00015473757,"about_ca_topic_score_gemma":0.000038576643,"teacher_disagreement_score":0.36190316,"about_ca_system_score_codex":0.00014378346,"about_ca_system_score_gemma":0.00003843525,"threshold_uncertainty_score":0.99996126},"labels":[],"label_agreement":null},{"id":"W4405290144","doi":"10.4310/mrl.241211041444","title":"The de Rham stack and the variety of very good splittings of a curve","year":2024,"lang":"en","type":"article","venue":"Mathematical Research Letters","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Mathematics; Stack (abstract data type); Variety (cybernetics); Statistics; Programming language; Computer science","score_opus":0.01894115971693598,"score_gpt":0.3267140096531708,"score_spread":0.3077728499362348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405290144","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21068564,0.0022481177,0.7681447,0.013054629,0.000027346592,0.00062487245,0.000007715771,0.00028270285,0.004924238],"genre_scores_gemma":[0.9911148,0.00027888938,0.008378709,0.000055813165,0.000024294564,0.000056016263,3.953414e-7,0.00002300561,0.00006810508],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987306,0.00014297992,0.00027151013,0.00010902635,0.0004532871,0.00029260718],"domain_scores_gemma":[0.99482304,0.0047901515,0.000017034316,0.0002731953,0.000045188262,0.0000514081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025403653,0.0000798086,0.00020822306,0.000058071342,0.000060952563,0.000056282493,0.0002540394,0.00003360007,0.000019252555],"category_scores_gemma":[0.0010885736,0.00004042875,0.0000912101,0.0004069789,0.00085517863,0.000055831213,0.00012421823,0.0004154998,0.0000075347048],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013079094,0.00009640975,0.00010364819,0.0043164794,0.00075469655,0.000032074568,0.005434248,0.00084440154,0.1229318,0.81895727,0.010350146,0.03604801],"study_design_scores_gemma":[0.00032087095,0.00007970642,0.00013266166,0.00048186225,0.0000665643,0.000012117505,0.0005542754,0.46598148,0.038025428,0.48778394,0.0063764965,0.00018461482],"about_ca_topic_score_codex":0.000011103865,"about_ca_topic_score_gemma":9.591662e-7,"teacher_disagreement_score":0.7804291,"about_ca_system_score_codex":0.00004516272,"about_ca_system_score_gemma":0.000011797491,"threshold_uncertainty_score":0.3150941},"labels":[],"label_agreement":null},{"id":"W4405565566","doi":"10.5267/j.esm.2024.6.003","title":"Exploring stress intensity factor computation: A parametric study using extended isogeometric analysis (XIGA)","year":2024,"lang":"en","type":"article","venue":"Engineering Solid Mechanics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Isogeometric analysis; Computation; Stress intensity factor; Structural engineering; Parametric statistics; Intensity (physics); Materials science; Stress (linguistics); Computer science; Mathematics; Finite element method; Physics; Engineering; Optics; Algorithm; Statistics","score_opus":0.066422745632322,"score_gpt":0.29922462693034624,"score_spread":0.23280188129802423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405565566","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35960126,0.00061558327,0.6367554,0.0000029395042,0.00047198852,0.00020300489,0.000017940758,0.0023267842,0.0000050930994],"genre_scores_gemma":[0.9769116,0.00015912071,0.022589445,0.0000044729454,0.00012403875,0.000069007576,0.000017348963,0.00011845104,0.000006497852],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978716,0.000024237712,0.0005726683,0.0005379217,0.0004770708,0.0005165243],"domain_scores_gemma":[0.99905616,0.00018460704,0.000047282163,0.00041247607,0.00011536206,0.00018413515],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020791207,0.0004397796,0.0007815541,0.0035643333,0.000072825605,0.0001752498,0.00026463106,0.00009541784,0.000023411114],"category_scores_gemma":[0.00014481321,0.00046587805,0.0003563587,0.013136169,0.000007438424,0.0005245623,0.00011705995,0.0005300543,0.000016506327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000026948921,0.00007090668,0.00008460537,0.0001149746,0.0015974994,0.000080286714,0.00025650178,0.98901814,0.0019948224,0.00010081037,0.0000038542335,0.006674886],"study_design_scores_gemma":[0.00008695928,0.00007715191,0.00060199655,0.00005631001,0.0007670741,0.0000072068215,0.00021372958,0.99045503,0.0070781363,0.0001017721,0.00006867879,0.0004859351],"about_ca_topic_score_codex":0.000021598373,"about_ca_topic_score_gemma":0.000003581103,"teacher_disagreement_score":0.61731035,"about_ca_system_score_codex":0.00044105973,"about_ca_system_score_gemma":0.0000142982335,"threshold_uncertainty_score":0.9997793},"labels":[],"label_agreement":null},{"id":"W4405833235","doi":"10.1016/j.compstruct.2024.118832","title":"Fiber-level automatic modeling strategy of 3D rotary braided preform based on motion information","year":2024,"lang":"en","type":"article","venue":"Composite Structures","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; National University's Basic Research Foundation of China; University of British Columbia; National Natural Science Foundation of China","keywords":"Motion (physics); Materials science; Fiber; Engineering drawing; Mechanical engineering; Computer science; Engineering; Composite material; Artificial intelligence","score_opus":0.01287473160685595,"score_gpt":0.24581287992396444,"score_spread":0.2329381483171085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405833235","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25139168,0.0001511772,0.7449833,0.00002124316,0.00008766545,0.00020403489,0.000046062294,0.0011759803,0.0019388122],"genre_scores_gemma":[0.9652476,0.0000055531614,0.034535754,0.00002854424,0.000028268809,0.000011545069,0.00011623775,0.000019888545,0.000006625676],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99917835,0.0000140464435,0.0003484275,0.00010931163,0.00021018252,0.00013967355],"domain_scores_gemma":[0.9996457,0.00004072882,0.000036183148,0.00019839418,0.000040167037,0.000038833397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000044712648,0.00016760474,0.00019531885,0.00025450016,0.0000346798,0.000049847033,0.00012289171,0.000074090734,0.00007708209],"category_scores_gemma":[0.000009499662,0.00013990676,0.0000790737,0.00027006055,0.000018575962,0.0004530831,0.000017242477,0.0001724263,0.00001176424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000042841575,0.000004190629,0.0000053629924,0.00029142754,0.000028384447,7.307684e-7,0.000051607458,0.8343451,0.003506436,0.00018647927,0.00003852607,0.16153745],"study_design_scores_gemma":[0.000075399555,0.000044895478,0.0005707252,0.00012360518,0.0000289602,0.0000021769306,0.0000058000355,0.9789778,0.014468788,0.0055092047,0.000052257743,0.00014039112],"about_ca_topic_score_codex":0.000016682765,"about_ca_topic_score_gemma":0.0000014463307,"teacher_disagreement_score":0.7138559,"about_ca_system_score_codex":0.00008631594,"about_ca_system_score_gemma":0.00001101231,"threshold_uncertainty_score":0.5705232},"labels":[],"label_agreement":null},{"id":"W4405995153","doi":"10.28924/2291-8639-23-2025-7","title":"The Coeffisients of the Spline Minimizing Semi Norm in K2(P3)","year":2025,"lang":"en","type":"article","venue":"International Journal of Analysis and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Norm (philosophy); Calculus (dental); Pure mathematics; Applied mathematics; Orthodontics; Law; Political science; Medicine","score_opus":0.002302943694113488,"score_gpt":0.25952806893200847,"score_spread":0.257225125237895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405995153","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14181949,0.0012765739,0.85211694,0.0024777215,0.00009854588,0.00013917609,0.000018032657,0.000018668452,0.0020348167],"genre_scores_gemma":[0.99757975,0.00079721515,0.0014321023,0.00004882296,0.000032514425,0.000010998241,0.0000019050983,0.0000031079717,0.00009360236],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99923366,0.00001415776,0.00044772573,0.000058692218,0.00018738792,0.000058381447],"domain_scores_gemma":[0.99932927,0.00014458757,0.0001692324,0.00012938418,0.00020943825,0.000018095603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017227446,0.00005666705,0.00015853389,0.00025620914,0.000045036675,0.000023420513,0.0003885961,0.000022055789,0.0000048140328],"category_scores_gemma":[0.000035013647,0.00003387753,0.00016293323,0.00096559845,0.00005511529,0.00005183008,0.00005312135,0.00012144354,2.4154352e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000083663625,0.0004478734,0.21984261,0.00003941282,0.009784653,0.000004416682,0.0003226782,0.3545806,0.026035614,0.030617487,0.0017702006,0.3564708],"study_design_scores_gemma":[0.0015300477,0.000058250596,0.33846775,0.00037444508,0.00312328,0.00002148529,0.00095913245,0.3671592,0.057430338,0.042663988,0.18769258,0.00051953096],"about_ca_topic_score_codex":0.000013968708,"about_ca_topic_score_gemma":0.00007524801,"teacher_disagreement_score":0.8557602,"about_ca_system_score_codex":0.000048608257,"about_ca_system_score_gemma":0.000011549393,"threshold_uncertainty_score":0.13814856},"labels":[],"label_agreement":null},{"id":"W4406482962","doi":"","title":"Geometry of Sparsity-Inducing Norms","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geometry; Mathematics; Computer science","score_opus":0.024339510254735,"score_gpt":0.2652229262964743,"score_spread":0.24088341604173932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406482962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85489184,0.0006307354,0.13927889,0.000042341257,0.00029405204,0.00016127681,0.000030635183,0.00081849104,0.003851753],"genre_scores_gemma":[0.9888518,0.00038099653,0.009877686,0.000045910685,0.00009720507,0.000025919153,0.000036913916,0.000033499928,0.0006500973],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99869555,0.000018298595,0.00045346798,0.00037681003,0.00018716692,0.00026873045],"domain_scores_gemma":[0.99887246,0.00007648884,0.00012481438,0.0007789283,0.00008033259,0.00006700667],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012166088,0.00030118343,0.00065333105,0.00037647694,0.000031775675,0.000009795114,0.0004929526,0.0003127228,0.00006559007],"category_scores_gemma":[0.00009371021,0.0003039772,0.00025849786,0.0005503351,0.00004814145,0.000072054485,0.00064594677,0.0008396952,0.000032393848],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001679574,0.00016849028,0.72710323,0.003042766,0.001316332,0.000036442096,0.00032963828,0.20321351,0.023271916,0.00026835265,0.0021243487,0.039108153],"study_design_scores_gemma":[0.0004597738,0.00008477487,0.23691392,0.0021987571,0.00079792924,0.000004386491,0.00012601673,0.022512147,0.710873,0.0068654288,0.016716616,0.0024472182],"about_ca_topic_score_codex":0.000098647644,"about_ca_topic_score_gemma":0.000010926249,"teacher_disagreement_score":0.68760115,"about_ca_system_score_codex":0.00014001346,"about_ca_system_score_gemma":0.000025489386,"threshold_uncertainty_score":0.99994123},"labels":[],"label_agreement":null},{"id":"W4406669304","doi":"10.1016/b978-0-12-088584-8.50010-5","title":"10.1016/b978-0-12-088584-8.50010-5","year":2000,"lang":"en","type":"book-chapter","venue":"Time to knit","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Variable (mathematics); Mathematics; Mathematical analysis","score_opus":0.005775192122742241,"score_gpt":0.17104374936345032,"score_spread":0.16526855724070807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406669304","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[9.48285e-8,0.0003628575,0.00028713385,0.000027174276,0.000002462172,0.00028364008,0.000065864435,0.0020512042,0.9969196],"genre_scores_gemma":[0.0000014831809,0.000005489117,0.0018249851,0.000026313995,0.00025407242,0.00004332154,0.00011023683,0.00026494812,0.9974691],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983925,0.000007516169,0.0004409745,0.00044184743,0.0003167549,0.00040036681],"domain_scores_gemma":[0.9989183,0.00005088687,0.000062686966,0.0006921676,0.00004504261,0.00023091696],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000057634763,0.00058185577,0.00070962287,0.00031644356,0.000046534333,0.0000347503,0.0004366813,0.00038418005,0.9936368],"category_scores_gemma":[0.000011887845,0.0006168209,0.0002903825,0.000084178006,0.000053281336,0.000094002135,0.00008806892,0.00052230473,0.9900057],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017144626,0.000008601857,1.4464647e-9,0.000024927216,0.00014505211,0.000022556129,0.000003145137,0.001564631,0.00003922783,0.000037468475,0.1719237,0.82621354],"study_design_scores_gemma":[0.00006488482,0.00007293444,1.1357736e-7,0.00009171612,0.00010905366,0.000007362027,5.527909e-8,0.0005888675,0.00014494105,0.0011555047,0.9970583,0.00070628914],"about_ca_topic_score_codex":0.00000467655,"about_ca_topic_score_gemma":3.284243e-7,"teacher_disagreement_score":0.8255073,"about_ca_system_score_codex":0.00017947263,"about_ca_system_score_gemma":0.000012203836,"threshold_uncertainty_score":0.9996283},"labels":[],"label_agreement":null},{"id":"W4407103178","doi":"10.28924/2291-8639-23-2025-31","title":"Some Statistical Estimations for Voting in Hough Transform","year":2025,"lang":"en","type":"article","venue":"International Journal of Analysis and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Voting; Mathematics; Hough transform; Statistics; Artificial intelligence; Econometrics; Pattern recognition (psychology); Computer science; Image (mathematics); Political science","score_opus":0.005457700793548841,"score_gpt":0.3128875675575982,"score_spread":0.3074298667640494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407103178","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0022965306,0.0002645072,0.9963574,0.00071126455,0.000022545937,0.0000882385,0.000036623063,0.000021181308,0.00020170421],"genre_scores_gemma":[0.939479,0.00023041337,0.06003611,0.00005977652,0.000074536205,0.0000622443,0.000024639166,0.0000048772686,0.000028405839],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930334,0.0000060198304,0.00042962833,0.000075801654,0.000113054586,0.00007215399],"domain_scores_gemma":[0.9995002,0.0001829302,0.00006972763,0.00005113051,0.00016457973,0.000031410535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012671947,0.00006387089,0.00019867823,0.00059658603,0.00002978087,0.000033341916,0.00015172735,0.000027352,0.000007766055],"category_scores_gemma":[0.000034336692,0.000059059934,0.000118767144,0.00052078045,0.000027645889,0.00014910633,0.000009356738,0.000090019465,4.1059545e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000033236614,0.00024593668,0.006310716,0.00004984163,0.0038439126,0.000004105621,0.000102367696,0.22901802,0.0016548346,0.27467,0.0005892558,0.48347777],"study_design_scores_gemma":[0.0009815717,0.00004871702,0.022149142,0.000081936276,0.0018317284,0.0000086969185,0.00015665055,0.7002479,0.0064631174,0.24272987,0.024989586,0.00031112623],"about_ca_topic_score_codex":0.000005843376,"about_ca_topic_score_gemma":0.00003177085,"teacher_disagreement_score":0.9371825,"about_ca_system_score_codex":0.00006336176,"about_ca_system_score_gemma":0.000013151426,"threshold_uncertainty_score":0.24083942},"labels":[],"label_agreement":null},{"id":"W4407184900","doi":"10.48550/arxiv.2502.01755","title":"Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Government of Canada; Canadian Institute for Advanced Research","keywords":"Computer science; Business","score_opus":0.0328022328642046,"score_gpt":0.2596119639063957,"score_spread":0.2268097310421911,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407184900","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20207253,0.00024466342,0.7959323,0.000017527349,0.00011696271,0.00014580137,0.000014588573,0.00036879387,0.0010868444],"genre_scores_gemma":[0.8959708,0.00018461367,0.10352252,0.000013277572,0.00004280185,0.000024166005,0.0001113207,0.00003628062,0.00009421547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986794,0.000032477776,0.00065853324,0.00028623725,0.0001663883,0.00017693498],"domain_scores_gemma":[0.9990171,0.00007387336,0.0003043044,0.0003582884,0.00020904458,0.00003736496],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00010850765,0.00025670286,0.0005764856,0.00022214625,0.000028509934,0.000012139936,0.00028470717,0.0002040498,0.00005531249],"category_scores_gemma":[0.00011058866,0.00027773317,0.00014467732,0.00039725483,0.00003874108,0.00008255746,0.0003032699,0.00042264187,0.0000018061099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000041202898,0.00002035688,0.010060705,0.00037217155,0.00014612489,0.0000018452544,0.000044779237,0.9804728,0.006980643,0.000008241024,0.000032795037,0.0018554286],"study_design_scores_gemma":[0.00008731501,0.000014715594,0.00064096047,0.00046750682,0.00007210302,3.6783058e-7,0.000011943083,0.8962161,0.102148876,0.00010781225,0.000022043201,0.00021028539],"about_ca_topic_score_codex":0.00013696625,"about_ca_topic_score_gemma":0.0000056214544,"teacher_disagreement_score":0.69389826,"about_ca_system_score_codex":0.00008509165,"about_ca_system_score_gemma":0.000022181825,"threshold_uncertainty_score":0.99996746},"labels":[],"label_agreement":null},{"id":"W4407404911","doi":"10.1109/icsidp62679.2024.10868240","title":"An Efficient and Precise Parallel Implementation Scheme for 3D Stolt Interpolation","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Natural Resources","keywords":"Interpolation (computer graphics); Computer science; Scheme (mathematics); Parallel computing; Computational science; Algorithm; Computer graphics (images); Mathematics; Animation","score_opus":0.009038658073765414,"score_gpt":0.32432797343504105,"score_spread":0.31528931536127563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407404911","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041366674,0.00017773938,0.95730865,0.000031085132,0.0000302176,0.0001908763,0.0000054581033,0.000682059,0.00020726622],"genre_scores_gemma":[0.6586744,0.000015753774,0.341159,0.000009594451,0.000018864097,0.00006108845,0.00002539573,0.000011746071,0.000024170511],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996299,0.0000039667616,0.00011526407,0.00011831471,0.00004793689,0.00008459439],"domain_scores_gemma":[0.9998553,0.000025730655,0.0000065546255,0.00006778975,0.000014004798,0.000030668034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000052803913,0.000063765445,0.00006443193,0.00006432446,0.00001854722,0.00003777562,0.000028782308,0.000020089688,0.00005916011],"category_scores_gemma":[0.0000032628939,0.0000552294,0.000022132841,0.00008939417,0.000007210874,0.00012987108,0.000007852842,0.000032518037,0.0000032227115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002844912,0.000051637493,0.000466323,0.0003058406,0.00014056734,0.0000015758653,0.0009189417,0.06075625,0.12114019,0.014515359,0.0030184782,0.7986564],"study_design_scores_gemma":[0.000059832288,0.000041400574,0.00010679547,0.000008446788,0.00001288054,5.2417755e-7,0.000069236354,0.99109375,0.00435762,0.000812224,0.0033620996,0.00007520933],"about_ca_topic_score_codex":0.0000059845756,"about_ca_topic_score_gemma":0.000012551538,"teacher_disagreement_score":0.9303375,"about_ca_system_score_codex":0.000030131841,"about_ca_system_score_gemma":0.000002094818,"threshold_uncertainty_score":0.22521895},"labels":[],"label_agreement":null},{"id":"W4407688286","doi":"10.22215/crw/24p5021","title":"A Consolidated List of FSM Mutation Operators","year":2024,"lang":"en","type":"report","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Mutation; Computer science; Programming language; Genetics; Biology","score_opus":0.015759880037860784,"score_gpt":0.3026861704198349,"score_spread":0.28692629038197415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407688286","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007949559,0.0076529295,0.12445208,0.00006749947,0.001148798,0.0006565141,0.00022710401,0.006983342,0.8508622],"genre_scores_gemma":[0.97665226,0.0018431477,0.011001963,0.000019523193,0.000111017354,0.00006701767,0.0003488315,0.00015621891,0.009800015],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989363,0.000008175074,0.00044076392,0.0001860583,0.00030977177,0.00011892608],"domain_scores_gemma":[0.9994446,0.000026877377,0.00005339791,0.00022131379,0.00021167715,0.000042105945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009337855,0.00020297649,0.0004506532,0.00023268454,0.0000071552186,0.000018764165,0.0001043694,0.0002014361,0.0003522264],"category_scores_gemma":[0.00006370627,0.00017179367,0.00014172541,0.0004502664,0.000036578727,0.00005042854,0.000034007386,0.00026615892,0.000043127275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014174222,0.00016535296,0.00016118979,0.011639539,0.0053728544,0.0010640234,0.00047298774,0.026460413,0.08025147,0.003095224,0.7260993,0.14520346],"study_design_scores_gemma":[0.000118988784,0.00009138149,0.00002146511,0.0009850342,0.00090660114,0.00010334559,0.00009150346,0.028404012,0.3525811,0.0024836909,0.61292285,0.0012899854],"about_ca_topic_score_codex":0.00022423625,"about_ca_topic_score_gemma":0.00003852341,"teacher_disagreement_score":0.96870273,"about_ca_system_score_codex":0.00017523058,"about_ca_system_score_gemma":0.00007754984,"threshold_uncertainty_score":0.70055425},"labels":[],"label_agreement":null},{"id":"W4408100306","doi":"10.26599/tst.2024.9010214","title":"A Lasserre SDP Rounding Approximation Algorithm for Max Directed 3-Section","year":2025,"lang":"en","type":"article","venue":"Tsinghua Science & Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Rounding; Section (typography); Algorithm; Mathematics; Combinatorics; Computer science; Discrete mathematics","score_opus":0.007105163409990493,"score_gpt":0.276988987768301,"score_spread":0.2698838243583105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408100306","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.022928225,0.00012880465,0.96965647,0.00026282607,0.00033621778,0.00029241483,0.000002062312,0.00482399,0.0015690183],"genre_scores_gemma":[0.6405739,0.000027122229,0.3588114,0.000032050677,0.00003456257,0.00019742384,0.000005055657,0.000017612803,0.00030086475],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883616,0.0000066329067,0.00023853629,0.00036322622,0.00015143237,0.00040403835],"domain_scores_gemma":[0.9994396,0.000039046008,0.000052462634,0.00030127892,0.00013528937,0.00003233916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026318448,0.00014627645,0.00021584143,0.0016183091,0.00029485763,0.00005916622,0.00040064374,0.00016433724,0.0000038094165],"category_scores_gemma":[0.0002108612,0.00014836396,0.00004894619,0.005750401,0.00039888662,0.00038165617,0.00007743136,0.00020064366,0.0000046129167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000029148475,0.00003141398,0.0001892073,0.00003293575,0.000019496243,0.0000010024758,0.00003983402,0.0016006083,0.33605543,0.008340277,0.00020700575,0.6534799],"study_design_scores_gemma":[0.0001275284,0.000040094146,0.000093014314,0.00004275402,0.000021483993,0.0000059652216,0.00011089801,0.68754965,0.2786469,0.024118783,0.009065102,0.0001778486],"about_ca_topic_score_codex":0.000007697258,"about_ca_topic_score_gemma":0.0000061803457,"teacher_disagreement_score":0.685949,"about_ca_system_score_codex":0.0004941345,"about_ca_system_score_gemma":0.000041542567,"threshold_uncertainty_score":0.6050107},"labels":[],"label_agreement":null},{"id":"W4409042300","doi":"10.28924/2291-8639-23-2025-84","title":"Woven Continuous Generalized Frames in Hilbert C∗-Modules","year":2025,"lang":"en","type":"article","venue":"International Journal of Analysis and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Pure mathematics; Linguistics; Algebra over a field","score_opus":0.0033387228297379005,"score_gpt":0.2715111940304144,"score_spread":0.2681724712006765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409042300","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09247837,0.0012285841,0.9034373,0.0010648833,0.000037514226,0.000062071354,0.000008246151,0.00003453044,0.0016485022],"genre_scores_gemma":[0.9859262,0.0011804071,0.01252319,0.00014800261,0.000060128288,0.000022417551,0.00000871352,0.0000049037994,0.00012604399],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992694,0.0000130519265,0.00041970878,0.000086337204,0.00014232892,0.00006913759],"domain_scores_gemma":[0.9995325,0.00006293634,0.000101412705,0.00009422053,0.00017652535,0.000032371914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010396243,0.00007536859,0.00026525964,0.00072557287,0.000017764309,0.00003929989,0.00022648371,0.000036635618,0.000027181226],"category_scores_gemma":[0.00002051438,0.0000664641,0.00015606536,0.0007279943,0.00003044703,0.00009586027,0.000026472188,0.000115034425,0.0000010797821],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006161522,0.00045416394,0.14873588,0.000028568636,0.011880651,0.000027845297,0.00021045012,0.15988812,0.018303093,0.07452995,0.002995278,0.5828844],"study_design_scores_gemma":[0.0022337532,0.000065326945,0.22080272,0.00019581176,0.0032167968,0.00003490258,0.00042572498,0.18142325,0.024405094,0.16321091,0.40312096,0.0008647299],"about_ca_topic_score_codex":0.000030609015,"about_ca_topic_score_gemma":0.00004833075,"teacher_disagreement_score":0.8934478,"about_ca_system_score_codex":0.00005863536,"about_ca_system_score_gemma":0.000007693554,"threshold_uncertainty_score":0.27103272},"labels":[],"label_agreement":null},{"id":"W4409050147","doi":"10.21203/rs.3.rs-6057085/v1","title":"Thin floor milling using moving air jet support with controllable flow direction","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Association of Emergency Physicians","funders":"","keywords":"Jet (fluid); Flow (mathematics); Materials science; Mechanical engineering; Mechanics; Acoustics; Aerospace engineering; Engineering; Physics","score_opus":0.03174682485331638,"score_gpt":0.3543177745623263,"score_spread":0.32257094970900996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409050147","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07711563,0.004792611,0.89403915,0.000277755,0.00053887744,0.0030194737,0.00035073434,0.004753591,0.01511214],"genre_scores_gemma":[0.87147677,0.0010798614,0.124734126,0.000037369282,0.0004216649,0.00048692804,0.00022035478,0.0001699363,0.0013730191],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99669063,0.00023218001,0.00046112147,0.00071674027,0.0010312946,0.00086802983],"domain_scores_gemma":[0.9980283,0.00025908364,0.00007202523,0.0008129865,0.0006448514,0.00018277882],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009755427,0.00043361392,0.00077036314,0.0008688776,0.0002863573,0.0001391363,0.00046858526,0.00038957683,0.00013131772],"category_scores_gemma":[0.00028707078,0.00038107752,0.00021470916,0.0011963114,0.000100628036,0.0001999233,0.0005431284,0.002218572,0.000023136748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005708587,0.000036322836,0.0005059052,0.0014084396,0.00025536402,0.000048175105,0.00017626632,0.98770535,0.0029825259,0.000014246035,0.00056454353,0.0062457565],"study_design_scores_gemma":[0.0002757134,0.00009852763,0.000094816736,0.0016129863,0.000075809534,0.0000042225356,0.00022141874,0.9746187,0.01800547,0.001028745,0.0034817357,0.0004818935],"about_ca_topic_score_codex":0.0006560747,"about_ca_topic_score_gemma":0.00014351182,"teacher_disagreement_score":0.7943611,"about_ca_system_score_codex":0.0010031109,"about_ca_system_score_gemma":0.0002575046,"threshold_uncertainty_score":0.9998641},"labels":[],"label_agreement":null},{"id":"W4409386683","doi":"10.1111/cgf.70019","title":"Rest Shape Optimization for Sag‐Free Discrete Elastic Rods","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rest (music); Rod; Computer science; Computer graphics (images); Mathematics; Geometry; Algorithm; Physics; Acoustics","score_opus":0.006097249746011664,"score_gpt":0.24081743745895523,"score_spread":0.23472018771294356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409386683","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00061884767,0.00026782957,0.99697775,0.00045942026,0.00030600902,0.00023627144,0.000016181873,0.0008395652,0.0002781475],"genre_scores_gemma":[0.50589496,0.00020368115,0.49281058,0.00060890144,0.00012639546,0.00013584355,0.00009720925,0.00006196938,0.000060456277],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911,0.00001148,0.00025515057,0.00023567321,0.00009711737,0.0002906014],"domain_scores_gemma":[0.9993149,0.0001224991,0.000032669428,0.00040651584,0.000070862065,0.00005255439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000651725,0.0001756901,0.00022230306,0.0002667617,0.00010380277,0.000046026285,0.00034921023,0.00009431288,0.0000089144305],"category_scores_gemma":[0.000033264623,0.00017362693,0.0001511388,0.00066440733,0.000049832088,0.00014304594,0.00013938328,0.00014025316,0.0000014498868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002003704,0.00003589398,0.00065470213,0.0001624642,0.00023911847,0.0000022648512,0.000022708848,0.8294865,0.00012503147,0.11055478,0.020285541,0.038410958],"study_design_scores_gemma":[0.00019923275,0.000048529495,0.00021573159,0.000051156916,0.000050504703,5.8018423e-7,0.0000025213683,0.9573509,0.00041918375,0.03243072,0.009054667,0.0001762591],"about_ca_topic_score_codex":0.0000018797875,"about_ca_topic_score_gemma":0.000009609791,"teacher_disagreement_score":0.50527614,"about_ca_system_score_codex":0.000031340605,"about_ca_system_score_gemma":0.0000075489843,"threshold_uncertainty_score":0.70803005},"labels":[],"label_agreement":null},{"id":"W4409579917","doi":"10.61091/jcmcc127a-074","title":"Optimization design model construction of round faceted gemstone facets based on geometric transformation theory","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Transformation (genetics); Engineering drawing; Computer science; Geometric modeling; Computer graphics (images); Geometric transformation; Geometry; Engineering; Mathematics; Artificial intelligence; Image (mathematics)","score_opus":0.01076558568462513,"score_gpt":0.24395503222606935,"score_spread":0.23318944654144422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409579917","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039271764,0.000112043934,0.95790917,0.00002638044,0.0016725962,0.00024993304,0.0000018096418,0.00008565057,0.000670648],"genre_scores_gemma":[0.85916024,0.000050175375,0.14069226,0.0000087485005,0.00006272678,0.0000022378265,0.0000017537213,0.000020421377,0.0000014395621],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981293,0.00009752943,0.0010504085,0.00011704194,0.0004256574,0.00018006579],"domain_scores_gemma":[0.99815357,0.0006696238,0.00053806085,0.00015871951,0.00041216158,0.00006788312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010789223,0.00022740131,0.0006479426,0.0007258757,0.00011162093,0.00006135778,0.00019754533,0.00015657599,0.0000032695027],"category_scores_gemma":[0.00031996626,0.00021141137,0.00014267855,0.00092604203,0.00006926478,0.00022443333,0.000025666799,0.00032721384,2.1140887e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089355446,0.00015973684,0.0000045425163,0.00017818926,0.00007986536,5.845442e-7,0.0001251263,0.78395176,0.00074896537,0.21126121,0.000016817523,0.003383818],"study_design_scores_gemma":[0.0013960925,0.0002349773,0.0000030677727,0.00023510396,0.00010185886,0.0000030280626,0.00007631233,0.714458,0.009523963,0.273836,0.000007995901,0.00012363376],"about_ca_topic_score_codex":7.227243e-7,"about_ca_topic_score_gemma":1.33617934e-8,"teacher_disagreement_score":0.8198885,"about_ca_system_score_codex":0.00014453445,"about_ca_system_score_gemma":0.000064390224,"threshold_uncertainty_score":0.86211056},"labels":[],"label_agreement":null},{"id":"W4409582713","doi":"10.61091/jcmcc127a-015","title":"Optimisation of Rendering Performance of Adobe After Effects Film Effects Based on GPU Acceleration and Task Scheduling Algorithm","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Rendering (computer graphics); Scheduling (production processes); Computer graphics (images); Algorithm; Parallel computing; Mathematical optimization; Mathematics","score_opus":0.0043904794702224244,"score_gpt":0.22707400931726568,"score_spread":0.22268352984704326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409582713","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81357205,0.0003164002,0.18397714,0.000009928146,0.0017839257,0.00020036743,7.022131e-7,0.00003918811,0.0001002993],"genre_scores_gemma":[0.9412997,0.000065815984,0.058455195,0.00000781526,0.00014464372,0.0000043549326,8.549298e-7,0.000020891006,7.216315e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984598,0.000056549394,0.0008296103,0.00013381446,0.0003539466,0.00016628178],"domain_scores_gemma":[0.99824584,0.00078136317,0.0004958393,0.00015664911,0.0002552564,0.000065070766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005440416,0.00022132788,0.0006990467,0.00030253138,0.0000732307,0.000044013475,0.00013919134,0.0001270419,8.705185e-7],"category_scores_gemma":[0.00026535412,0.00020602297,0.00010722948,0.0003423075,0.000052395524,0.00017324892,0.00006767962,0.00031223768,9.286233e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015773966,0.003146618,0.003392694,0.037548166,0.0017644617,0.00006455562,0.003981021,0.33503553,0.14557421,0.13950118,0.00011726792,0.3282969],"study_design_scores_gemma":[0.002232514,0.00086244213,0.00041126032,0.0024889512,0.000158276,0.0000037857944,0.000033577464,0.8518482,0.11319013,0.028558323,0.000014330542,0.0001982303],"about_ca_topic_score_codex":0.0000013907572,"about_ca_topic_score_gemma":3.477654e-8,"teacher_disagreement_score":0.5168126,"about_ca_system_score_codex":0.00006913869,"about_ca_system_score_gemma":0.00003256825,"threshold_uncertainty_score":0.8401373},"labels":[],"label_agreement":null},{"id":"W4409793532","doi":"10.61091/jcmcc127a-164","title":"A new algorithm for polynomial interpolation in complex surface modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Interpolation (computer graphics); Algorithm; Polynomial interpolation; Polynomial; Surface (topology); Mathematics; Computer science; Linear interpolation; Computer graphics (images); Geometry; Mathematical analysis; Animation","score_opus":0.01340193936353342,"score_gpt":0.2739678426616774,"score_spread":0.260565903298144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409793532","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07445171,0.00025930183,0.9213563,0.00005671031,0.0032792755,0.00024336156,0.0000013983419,0.00007514047,0.00027677446],"genre_scores_gemma":[0.7471081,0.000025056454,0.25241646,0.000009641352,0.00041036788,0.0000012107342,0.0000015855745,0.000023612492,0.0000039748115],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982836,0.00003046172,0.0010663695,0.00014077935,0.00022524575,0.0002535015],"domain_scores_gemma":[0.99892205,0.000372489,0.00026307968,0.00012898514,0.00021570052,0.00009768203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006135475,0.00022335738,0.0007096321,0.00026777133,0.00008133633,0.00009844925,0.0002525402,0.00013113536,0.0000025866448],"category_scores_gemma":[0.00014583766,0.00022208494,0.00015777694,0.00041081719,0.00002057646,0.00017857723,0.00008629259,0.00033734195,2.6532308e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042638334,0.0010586058,0.0003472511,0.0012007455,0.00094464864,0.000024892282,0.0027392786,0.15439783,0.017955502,0.5619474,0.006736392,0.2522211],"study_design_scores_gemma":[0.0019386106,0.00011620207,0.000006257802,0.00020216397,0.00004435548,0.000004620307,0.00009206074,0.7290067,0.0004890491,0.26763672,0.00031904687,0.00014418992],"about_ca_topic_score_codex":0.000015325324,"about_ca_topic_score_gemma":8.172388e-7,"teacher_disagreement_score":0.6726564,"about_ca_system_score_codex":0.00015227377,"about_ca_system_score_gemma":0.000069751826,"threshold_uncertainty_score":0.9056361},"labels":[],"label_agreement":null},{"id":"W4409986319","doi":"10.1016/j.cirpj.2025.04.005","title":"Two-stage LP/NLP feedrate optimization for spline toolpaths","year":2025,"lang":"en","type":"article","venue":"CIRP journal of manufacturing science and technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Pratt and Whitney Canada","keywords":"Stage (stratigraphy); Artificial intelligence; Spline (mechanical); Engineering drawing; Computer science; Computer vision; Mathematics; Engineering; Mechanical engineering; Geology","score_opus":0.005453050098344694,"score_gpt":0.25978099877639504,"score_spread":0.25432794867805036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409986319","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3122218,0.00038820013,0.6859887,0.0006430841,0.00013962253,0.00009967831,0.000001612838,0.00017985134,0.0003374223],"genre_scores_gemma":[0.9061801,0.00023534654,0.09339518,0.000053545675,0.000022863915,0.0000061861533,3.8257002e-7,0.000008032763,0.000098351586],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991856,0.0000037302111,0.00029636797,0.00014781019,0.00014016945,0.00022632205],"domain_scores_gemma":[0.9994437,0.00003954919,0.00011143691,0.00015561987,0.0002060332,0.000043680302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038027074,0.000105732426,0.00022577414,0.000924592,0.00013715391,0.00004561908,0.00036377774,0.00006984457,0.000006098658],"category_scores_gemma":[0.00018182037,0.000090377296,0.000038263417,0.00065523427,0.00030426675,0.00033462714,0.00006813317,0.0001986226,4.4752383e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000032016003,0.000051203777,0.00032413795,0.00015640068,0.000090195164,0.000025241568,0.000044135802,0.5243127,0.09519176,0.00709664,0.0002749811,0.37240064],"study_design_scores_gemma":[0.00037824438,0.00009819803,0.00009186364,0.00006731727,0.000034560413,0.000028702569,0.00009212245,0.083535716,0.89914465,0.013255699,0.0031339375,0.00013900957],"about_ca_topic_score_codex":9.875913e-7,"about_ca_topic_score_gemma":0.0000010146985,"teacher_disagreement_score":0.8039529,"about_ca_system_score_codex":0.000093311035,"about_ca_system_score_gemma":0.00004521146,"threshold_uncertainty_score":0.36854792},"labels":[],"label_agreement":null},{"id":"W4410214171","doi":"10.1007/s00170-025-15612-w","title":"Research on the calibration method of robot grinding system with stepwise constraint of key datum based on point cloud technology","year":2025,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Science and Technology Innovation Plan Of Shanghai Science and Technology Commission; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Geodetic datum; Point cloud; Grinding; Key (lock); Constraint (computer-aided design); Cloud manufacturing; Robot; Calibration; Computer science; Cloud computing; Point (geometry); Engineering; Mechanical engineering; Artificial intelligence; Mathematics; Geodesy; Geology; Geometry","score_opus":0.01530191775613707,"score_gpt":0.3155771476250433,"score_spread":0.3002752298689062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410214171","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19056469,0.000072445306,0.79876316,0.009037556,0.000258467,0.00027435189,0.0000093366425,0.00020192875,0.00081808225],"genre_scores_gemma":[0.94097525,0.000041929085,0.05883429,0.00005174074,0.00003313921,0.00002465386,0.0000013084885,0.000020950109,0.0000167589],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99814975,0.00011349833,0.0007105252,0.00018420917,0.00060867687,0.00023333139],"domain_scores_gemma":[0.9976406,0.0009128491,0.00047649324,0.00051720155,0.00042885408,0.000023983972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010140379,0.000187457,0.0004181663,0.0018539331,0.00007789252,0.000015627938,0.0014041631,0.00015690995,0.000009520525],"category_scores_gemma":[0.00025688714,0.00010922566,0.00010271859,0.00072898756,0.00042491517,0.00009994242,0.00016278702,0.001098427,8.645608e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004326804,0.00007888621,0.00006595,0.00006525239,0.00039956224,0.000034181867,0.000030631196,0.7681591,0.074669845,0.13456883,0.00010979828,0.02138529],"study_design_scores_gemma":[0.00044180185,0.00036901585,0.00005829702,0.0008738468,0.000031527972,0.00006185038,0.0012843829,0.018653668,0.96120316,0.016631559,0.00029916692,0.00009174679],"about_ca_topic_score_codex":0.000006911408,"about_ca_topic_score_gemma":0.0000069818548,"teacher_disagreement_score":0.88653326,"about_ca_system_score_codex":0.0003700654,"about_ca_system_score_gemma":0.00006131063,"threshold_uncertainty_score":0.47721797},"labels":[],"label_agreement":null},{"id":"W4410237240","doi":"10.1145/3723498.3723840","title":"Constraint Is All You Need: Optimization-Based 3D Level Generation with LLMs","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Constraint (computer-aided design); Computer science; Engineering","score_opus":0.018469167825132297,"score_gpt":0.2472875444638575,"score_spread":0.2288183766387252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410237240","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00032694088,0.000029464627,0.9803463,0.00044613166,0.00001984385,0.000106233834,0.0000069540474,0.0006285085,0.018089585],"genre_scores_gemma":[0.3833047,0.000014661322,0.6147411,0.0010737687,0.000017809627,0.00003179989,0.000041087467,0.000016279982,0.000758797],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999483,0.000007017894,0.00015535382,0.00014192046,0.00009098456,0.000121734345],"domain_scores_gemma":[0.9997019,0.000020113446,0.000016987675,0.00016628875,0.00006093744,0.00003376703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000032057374,0.00011684859,0.00012902477,0.000079544116,0.00003061835,0.00002614953,0.000069457354,0.000049340153,0.00047060527],"category_scores_gemma":[0.000009638562,0.00009561618,0.000031704363,0.00031015064,0.00003345015,0.00007781828,0.000008119933,0.0000688511,0.0000061821584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000019384336,0.000011586812,0.00005790485,0.000009383528,0.000044724628,0.000001269932,0.0000112890075,0.9914597,0.0023672364,0.00028160872,0.0016053161,0.0041480083],"study_design_scores_gemma":[0.00013820204,0.000012542081,0.000008254132,0.00000909724,0.000028604116,6.033408e-7,0.000015148817,0.95580536,0.041422255,0.00004318331,0.002393474,0.00012326818],"about_ca_topic_score_codex":0.000025942038,"about_ca_topic_score_gemma":0.000011282913,"teacher_disagreement_score":0.38297775,"about_ca_system_score_codex":0.00006148579,"about_ca_system_score_gemma":0.00002003725,"threshold_uncertainty_score":0.51527977},"labels":[],"label_agreement":null},{"id":"W4410327705","doi":"10.23952/jnva.9.2025.4.06","title":"Some remarks on the envelope of a family of curves","year":2025,"lang":"en","type":"article","venue":"Journal of Nonlinear and Variational Analysis","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Envelope (radar); Mathematics; Computer science; Telecommunications","score_opus":0.009561811814666739,"score_gpt":0.26430225070692737,"score_spread":0.2547404388922606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410327705","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21779478,0.012735879,0.7601246,0.0061654956,0.00014845587,0.00019176636,0.00012140485,0.000047471087,0.0026701458],"genre_scores_gemma":[0.9684469,0.0041474495,0.026870167,0.00035390662,0.00008305585,0.0000016004641,0.000008348091,0.0000062818267,0.00008230006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906313,0.00003921878,0.000533859,0.00005819453,0.00024795852,0.000057644018],"domain_scores_gemma":[0.9990462,0.0003449804,0.00023810715,0.000105854975,0.00024123743,0.000023592744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037294044,0.00007673863,0.00038647308,0.0003862811,0.000023023878,0.0000051617403,0.00013077784,0.00003417251,0.000027893608],"category_scores_gemma":[0.00017136768,0.000048040918,0.00026253893,0.0009884427,0.00003543809,0.0000799212,0.000018718285,0.00013390425,2.6346038e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005500801,0.0014591146,0.04255484,0.0013696474,0.05701938,0.000019205127,0.0005622218,0.6519661,0.078451596,0.12515657,0.012583024,0.028308239],"study_design_scores_gemma":[0.00082221016,0.00033169094,0.29298517,0.00091626955,0.008463797,0.000005910987,0.00018572049,0.6286482,0.019543005,0.04260677,0.0050691543,0.0004220771],"about_ca_topic_score_codex":0.000008476411,"about_ca_topic_score_gemma":0.0000019186436,"teacher_disagreement_score":0.75065213,"about_ca_system_score_codex":0.000018890985,"about_ca_system_score_gemma":0.00002837786,"threshold_uncertainty_score":0.19590518},"labels":[],"label_agreement":null},{"id":"W4410381351","doi":"10.1007/s00362-025-01708-8","title":"Local linear smoothing for regression surfaces on the simplex using Dirichlet kernels","year":2025,"lang":"en","type":"article","venue":"Statistical Papers","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Alliance de recherche numérique du Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Smoothing; Mathematics; Linear regression; Simplex; Regression; Dirichlet distribution; Statistics; Mathematical analysis; Combinatorics","score_opus":0.020941776305921783,"score_gpt":0.3220951516595378,"score_spread":0.30115337535361597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410381351","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004612862,0.00007296727,0.99160534,0.00034563226,0.00007187092,0.00020729558,0.00006173645,0.00028652707,0.0027357754],"genre_scores_gemma":[0.9167348,0.00002184739,0.082553595,0.00046123908,0.000027258067,0.000026538732,0.00001702973,0.000027983806,0.00012969406],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991145,0.000037299535,0.0002232681,0.00020479567,0.00015358932,0.00026651903],"domain_scores_gemma":[0.9982743,0.0014212902,0.000024917528,0.00019374958,0.000030770247,0.00005492325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013273601,0.0001649681,0.00021791516,0.000046895082,0.00014881506,0.00002324653,0.00014646999,0.00006742774,0.000080756836],"category_scores_gemma":[0.00041489757,0.00010513685,0.000064726904,0.00022826444,0.0001370998,0.000039099483,0.000033839708,0.00020120865,0.000006349196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016763798,0.00008881577,0.00014239673,0.00033751095,0.00031648966,0.000021277316,0.00017973926,0.4680476,0.03789806,0.19994256,0.016085442,0.27677247],"study_design_scores_gemma":[0.00016967248,0.000052794006,0.00021433936,0.00014153618,0.000071524344,4.4386871e-7,0.0001603047,0.91834253,0.008380443,0.020342566,0.05187505,0.0002487871],"about_ca_topic_score_codex":0.000017496735,"about_ca_topic_score_gemma":0.000005402044,"teacher_disagreement_score":0.91212195,"about_ca_system_score_codex":0.000104976316,"about_ca_system_score_gemma":0.000012203871,"threshold_uncertainty_score":0.42873564},"labels":[],"label_agreement":null},{"id":"W4410741266","doi":"10.1016/j.jalgebra.2025.04.038","title":"Semiorthogonal decompositions for generalised Severi-Brauer schemes","year":2025,"lang":"en","type":"article","venue":"Journal of Algebra","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Brauer group; Pure mathematics; Algebra over a field","score_opus":0.004452395123474106,"score_gpt":0.2614885435593848,"score_spread":0.25703614843591066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410741266","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12430583,0.00078017864,0.8733297,0.00053196476,0.00016688585,0.00007969699,0.000009549961,0.00010775836,0.0006884615],"genre_scores_gemma":[0.61937946,0.00018701148,0.3792851,0.0005195707,0.00022721542,0.000016701852,0.000007178652,0.000026063837,0.0003516824],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992909,0.000011259154,0.00037819397,0.000068585134,0.00010905614,0.00014199282],"domain_scores_gemma":[0.99952596,0.00008658187,0.00008216375,0.00010184805,0.0001431783,0.000060280985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010171395,0.000103838356,0.00024687612,0.00019631832,0.000048927403,0.00002178195,0.000151858,0.000052616488,0.00004361252],"category_scores_gemma":[0.000038447623,0.00009126198,0.0002279164,0.00024479695,0.000021854254,0.00018454179,0.000016819562,0.00015190039,0.0000019286435],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022866111,0.0003577739,0.0036471337,0.00036012515,0.0026533403,0.000051311723,0.0001550217,0.063917756,0.6158197,0.039191134,0.17439477,0.09922326],"study_design_scores_gemma":[0.0019544913,0.0002588671,0.0035048705,0.00034305945,0.000590535,0.000100289944,0.000062950734,0.063972495,0.47998357,0.07955796,0.368952,0.0007188988],"about_ca_topic_score_codex":3.7134117e-7,"about_ca_topic_score_gemma":8.224567e-7,"teacher_disagreement_score":0.49507365,"about_ca_system_score_codex":0.00006780379,"about_ca_system_score_gemma":0.00002559189,"threshold_uncertainty_score":0.37215558},"labels":[],"label_agreement":null},{"id":"W4410788786","doi":"10.3390/math13111773","title":"Improved Splitting-Integrating Methods for Image Geometric Transformations: Error Analysis and Applications","year":2025,"lang":"en","type":"article","venue":"Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Image (mathematics); Computer science; Error analysis; Transformation (genetics); Computer vision; Artificial intelligence; Computer graphics (images); Mathematics; Applied mathematics; Chemistry","score_opus":0.010634860563589619,"score_gpt":0.3448298356896102,"score_spread":0.33419497512602053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410788786","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00028334788,0.00032430503,0.9966186,0.00005334502,0.000008796173,0.0005438902,0.000015318847,0.00043837642,0.0017139766],"genre_scores_gemma":[0.014751428,0.000058396694,0.98425484,0.000024358671,0.00001069355,0.00073678157,0.000019329535,0.000017224995,0.00012698023],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992035,0.000013155766,0.000433649,0.00013979834,0.000049603677,0.00016027647],"domain_scores_gemma":[0.99900144,0.0005634074,0.00006284905,0.00024931147,0.000086031716,0.0000369649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003554308,0.0001389325,0.00035255786,0.00064888614,0.00010178932,0.00005232946,0.00012626573,0.000057154804,0.000008503389],"category_scores_gemma":[0.00022718262,0.00012413702,0.00016048859,0.0026653325,0.000030929183,0.000115847644,0.00001892388,0.000097982134,0.0000011089417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033756883,0.00016488656,0.00006382234,0.0026305958,0.002111115,1.7761306e-7,0.0008229289,0.0023126667,0.051264048,0.031039631,0.00020903294,0.9093777],"study_design_scores_gemma":[0.00009233285,0.000009378749,0.000017311526,0.000018425655,0.00086729456,5.3187097e-7,0.00026626742,0.93348825,0.025627038,0.03715559,0.0023139482,0.00014362732],"about_ca_topic_score_codex":0.0000029168602,"about_ca_topic_score_gemma":0.000004593725,"teacher_disagreement_score":0.9311756,"about_ca_system_score_codex":0.000047854133,"about_ca_system_score_gemma":0.000005650377,"threshold_uncertainty_score":0.50621605},"labels":[],"label_agreement":null},{"id":"W4411088537","doi":"10.5206/mt.v5i2.22392","title":"Counting the number of integer points of non-parametric and parametric polytopes with the PolyhedralSets in Maple","year":2025,"lang":"en","type":"article","venue":"Maple Transactions","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Huawei Technologies (Canada); Western University","funders":"","keywords":"Maple; Parametric statistics; Polytope; Integer (computer science); Mathematics; Combinatorics; Computer science; Statistics; Programming language; Botany; Biology","score_opus":0.003740704710434658,"score_gpt":0.24065647896321596,"score_spread":0.2369157742527813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411088537","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3885924,0.00030699582,0.6088641,0.0005808323,0.00002647345,0.00021465216,0.000011987753,0.000066902285,0.0013356546],"genre_scores_gemma":[0.9950423,0.00011238032,0.0046089385,0.00004269024,0.0000035625073,0.000039848434,0.0000011027545,0.000013026517,0.00013610805],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992903,0.000028320263,0.0002643353,0.00012295587,0.00013612109,0.00015795497],"domain_scores_gemma":[0.9992493,0.0003960966,0.000051351224,0.00024163138,0.00004328307,0.000018376593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016275223,0.00011927728,0.00024657726,0.00031722354,0.000058717156,0.000013580824,0.00016669325,0.000046465462,0.000051953655],"category_scores_gemma":[0.000026015308,0.00007106997,0.000061963554,0.0029543065,0.00013641402,0.00008894071,0.000008520699,0.00023843674,0.0000017284023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004507471,0.0015272157,0.22783719,0.002061193,0.0030892345,0.000018753886,0.0060894554,0.3879944,0.029963277,0.0053240755,0.0022628875,0.33338156],"study_design_scores_gemma":[0.003078986,0.00027124217,0.35196087,0.0008688939,0.0013147326,0.000059561866,0.0066636633,0.3473263,0.26551372,0.009705518,0.011727095,0.0015094163],"about_ca_topic_score_codex":0.0004835644,"about_ca_topic_score_gemma":0.00018143395,"teacher_disagreement_score":0.60644996,"about_ca_system_score_codex":0.000032950105,"about_ca_system_score_gemma":0.000012455709,"threshold_uncertainty_score":0.28981492},"labels":[],"label_agreement":null},{"id":"W4411088547","doi":"10.5206/mt.v5i2.22442","title":"Poincaré Sections by Inverse Cubic Hermite Interpolation","year":2025,"lang":"en","type":"article","venue":"Maple Transactions","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monotone cubic interpolation; Cubic Hermite spline; Hermite interpolation; Inverse; Hermite polynomials; Interpolation (computer graphics); Mathematics; Bicubic interpolation; Mathematical analysis; Physics; Linear interpolation; Geometry; Classical mechanics; Polynomial","score_opus":0.003097826756043069,"score_gpt":0.21717033993243623,"score_spread":0.21407251317639317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411088547","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0040988233,0.000112034366,0.9836546,0.00025128014,0.00016921466,0.00010219102,0.000029383971,0.0011784232,0.010404011],"genre_scores_gemma":[0.98717356,0.000105624575,0.0076185823,0.00012800176,0.000016364256,0.000086972876,0.000027463751,0.000022010416,0.0048214435],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994552,0.000015599066,0.00017835261,0.00013711536,0.00006744163,0.00014625437],"domain_scores_gemma":[0.9997021,0.00003262625,0.000012916946,0.00018307084,0.00002542124,0.0000438772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000030046069,0.00011385148,0.00012495142,0.0001876735,0.00011731905,0.000020152338,0.00008208067,0.00006656982,0.00030725717],"category_scores_gemma":[0.00000409466,0.00012656122,0.000104480874,0.0006743506,0.00003076541,0.00018837096,0.0000029723385,0.00020326681,0.000040058378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003958193,0.00045033696,0.0006298372,0.00026587132,0.0010955966,0.0000060856637,0.0008373808,0.25629398,0.44765818,0.001538686,0.15096311,0.14022136],"study_design_scores_gemma":[0.00045583528,0.000040705756,0.00038702224,0.00006365934,0.00026781016,0.0000057797056,0.00031382288,0.50438946,0.12163661,0.004114024,0.3677891,0.0005361555],"about_ca_topic_score_codex":0.000067693814,"about_ca_topic_score_gemma":0.00023230108,"teacher_disagreement_score":0.9830747,"about_ca_system_score_codex":0.000109218214,"about_ca_system_score_gemma":0.000007392755,"threshold_uncertainty_score":0.51610166},"labels":[],"label_agreement":null},{"id":"W4411295678","doi":"10.1142/s2810939225400015","title":"Machine learning approaches to the Shafarevich–Tate group of elliptic curves","year":2025,"lang":"en","type":"article","venue":"International Journal of Data Science in the Mathematical Sciences","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Group (periodic table); Elliptic curve; Learning curve; Mathematics; Computer science; Mathematics education; Algebra over a field; Pure mathematics; Physics; Operating system","score_opus":0.12416868094930458,"score_gpt":0.3593063794181788,"score_spread":0.2351376984688742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411295678","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05409254,0.0035410498,0.8959886,0.03320675,0.0004893275,0.00043512025,0.000029870225,0.000056784058,0.012159967],"genre_scores_gemma":[0.9719383,0.00042734804,0.027328491,0.00025680225,0.00002883305,0.0000039454653,0.0000012299322,0.0000024717303,0.000012594993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980031,0.000067183006,0.0005133458,0.00015037667,0.0011031715,0.00016278292],"domain_scores_gemma":[0.99885917,0.00061420933,0.0001415106,0.00026381382,0.000086880704,0.000034410747],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0054889745,0.000081450824,0.00018137692,0.0002955342,0.00009331818,0.000119070064,0.0061248974,0.000012154077,0.000022523622],"category_scores_gemma":[0.001470068,0.00003829573,0.000044657972,0.0016975452,0.0006755222,0.000882706,0.00041426526,0.00022507785,0.0000043509644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054098287,0.0008613257,0.007776014,0.0005262119,0.00024389107,0.00004192235,0.004426726,0.27271062,0.007596076,0.47730127,0.002569392,0.22589245],"study_design_scores_gemma":[0.00013099331,0.00013841483,0.0018471852,0.0014357294,0.000051615396,0.00008440602,0.0011570228,0.883969,0.001580569,0.10441524,0.005011661,0.00017814207],"about_ca_topic_score_codex":0.0000072663033,"about_ca_topic_score_gemma":0.000008506943,"teacher_disagreement_score":0.9178457,"about_ca_system_score_codex":0.00004201475,"about_ca_system_score_gemma":0.000040226205,"threshold_uncertainty_score":0.99925244},"labels":[],"label_agreement":null},{"id":"W4411310792","doi":"10.28924/2291-8639-22-2024-108","title":"Geometrical Analysis of Spacelike and Timelike Rectifying Curves and Their Applications","year":2024,"lang":"en","type":"article","venue":"International Journal of Analysis and Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Calculus (dental); Pure mathematics; Orthodontics; Medicine","score_opus":0.006450672934311879,"score_gpt":0.2774108379562016,"score_spread":0.2709601650218897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411310792","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.018430024,0.02254098,0.9580046,0.0005351263,0.000015537153,0.000094620395,0.00007111746,0.000054850483,0.0002531361],"genre_scores_gemma":[0.97304535,0.021245494,0.005480669,0.000043670036,0.00007332528,0.00003842026,0.000030256528,0.000011165378,0.000031666925],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898875,0.000017528557,0.00051055575,0.00018035743,0.00021846179,0.00008433626],"domain_scores_gemma":[0.9990593,0.0002953223,0.00014779791,0.00013357226,0.00026929335,0.00009466723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002445501,0.0001243249,0.00044427512,0.0020966239,0.00004109398,0.00007450865,0.00016724285,0.0000450907,0.000034444005],"category_scores_gemma":[0.000023328643,0.00009862091,0.00026829174,0.0035586387,0.00009155535,0.00016558904,0.000051921365,0.00016017727,6.688248e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002133978,0.00025083942,0.020344408,0.00034329906,0.07726452,0.000009271475,0.00049113756,0.020758264,0.021545079,0.012779272,0.0008094138,0.84538317],"study_design_scores_gemma":[0.0004701567,0.00014591737,0.062396456,0.00041200154,0.043297794,0.00014765495,0.0008128598,0.71860904,0.009412085,0.017207934,0.1460132,0.0010749189],"about_ca_topic_score_codex":0.00001845352,"about_ca_topic_score_gemma":0.000015096784,"teacher_disagreement_score":0.9546153,"about_ca_system_score_codex":0.000035835044,"about_ca_system_score_gemma":0.000009964589,"threshold_uncertainty_score":0.40216443},"labels":[],"label_agreement":null},{"id":"W4411441853","doi":"10.4153/s0008439525100738","title":"Relative cell complexes in closure spaces","year":2025,"lang":"en","type":"article","venue":"Canadian Mathematical Bulletin","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Southeast Center for Mathematics and Biology; National Science Foundation","keywords":"Mathematics; Closure (psychology); Pure mathematics","score_opus":0.004655358802206341,"score_gpt":0.21265284474800208,"score_spread":0.20799748594579576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411441853","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08295444,0.0011176163,0.1367224,0.010247569,0.00008167945,0.0006350907,0.00003195787,0.00076260726,0.76744664],"genre_scores_gemma":[0.98101455,0.000018908078,0.015052704,0.00035857546,0.000012188709,0.00004088882,0.000004984828,0.000022261473,0.003474944],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991844,0.000024969602,0.00024518237,0.00015314105,0.000077816265,0.00031444206],"domain_scores_gemma":[0.9994229,0.0001762112,0.000014807198,0.00019494849,0.000020194075,0.0001709402],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00009877207,0.00014333808,0.00026985165,0.0002595935,0.000035428566,0.000025017198,0.00016534263,0.00009604778,0.0022860614],"category_scores_gemma":[0.00011341927,0.00013893456,0.000059781927,0.00040683566,0.0000655774,0.00002778691,0.00001799791,0.0002430929,0.0014357483],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014742144,0.00019498443,0.003550399,0.001441878,0.000201182,0.00029962472,0.0012105906,0.0071840016,0.0024968411,0.6959205,0.2813924,0.006092836],"study_design_scores_gemma":[0.00038078718,0.000029190593,0.00093359046,0.00038591557,0.000050271577,0.000003437705,0.00030154127,0.011087488,0.0057946653,0.43425208,0.5461597,0.0006213286],"about_ca_topic_score_codex":0.0004648123,"about_ca_topic_score_gemma":0.0019228281,"teacher_disagreement_score":0.8980601,"about_ca_system_score_codex":0.0002251281,"about_ca_system_score_gemma":0.00003121481,"threshold_uncertainty_score":0.9993417},"labels":[],"label_agreement":null},{"id":"W4411573234","doi":"10.1007/978-3-031-95489-4_1","title":"The Algebraic Parametric Coupler Point Curve Equation","year":2025,"lang":"en","type":"book-chapter","venue":"Mechanisms and machine science","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Parametric statistics; Point (geometry); Algebraic number; Mathematics; Mathematical analysis; Geometry; Statistics","score_opus":0.011544682394830138,"score_gpt":0.23088856827121715,"score_spread":0.219343885876387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411573234","genre_codex":"methods","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000009685769,0.002292282,0.9269002,0.00015084428,0.00023289873,0.00024885987,0.000014770932,0.00033545177,0.06981502],"genre_scores_gemma":[0.25071883,0.020829007,0.16033304,0.0012717583,0.00023546956,0.00021651747,0.00008992841,0.00026245118,0.566043],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987031,0.000005798015,0.00025491204,0.00036539655,0.00040916126,0.0002616133],"domain_scores_gemma":[0.999256,0.00013827631,0.00007828124,0.0003620741,0.00007974417,0.00008561572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005276534,0.00025124743,0.00024957708,0.00032273,0.00034367485,0.000120710465,0.00039677604,0.000092131035,0.00005001773],"category_scores_gemma":[0.00011468207,0.00017224514,0.00007280659,0.00036703076,0.00022638861,0.00014605277,0.00017803043,0.0003092002,0.000014534178],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017818147,0.0000029156472,6.4779346e-7,0.000019849955,0.000018757828,0.0000019925144,0.000009444558,0.00054308114,0.0010465188,0.90089864,0.00032360296,0.09713275],"study_design_scores_gemma":[0.00005892523,0.00005508846,0.000009317031,0.00005168266,0.00004702704,0.0000037994091,0.0000037011862,0.23840241,0.0022363665,0.72795343,0.030864978,0.00031327576],"about_ca_topic_score_codex":0.00001579696,"about_ca_topic_score_gemma":0.000015357118,"teacher_disagreement_score":0.7665672,"about_ca_system_score_codex":0.00009851464,"about_ca_system_score_gemma":0.000033150667,"threshold_uncertainty_score":0.7023953},"labels":[],"label_agreement":null},{"id":"W4412227861","doi":"","title":"Altavilla, Amedeo; Ballico, Edoardo; Brambilla, Maria Chiara and Salamon, Simon. Twistor geometry of the flag manifold. Math. Z. 303 (2023), no.1, Paper No. 24, 43 pp.","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mathematics; Flag (linear algebra); Pure mathematics; Geometry; Algebra over a field","score_opus":0.0046927015790928376,"score_gpt":0.2008167937818573,"score_spread":0.19612409220276444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412227861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78424746,0.008971884,0.03494776,0.003942652,0.005762252,0.0041262414,0.00046360015,0.013211392,0.14432676],"genre_scores_gemma":[0.95764,0.00419943,0.016963985,0.00147441,0.0005303325,0.0001509657,0.000072474875,0.0003167952,0.018651599],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976675,0.00005835274,0.0006656742,0.0005266188,0.0004736496,0.0006081847],"domain_scores_gemma":[0.99836963,0.0002213953,0.0001298414,0.00092789356,0.0001652802,0.0001859318],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002805137,0.00045254338,0.00066506,0.00019484154,0.00011053975,0.00005419174,0.0005363693,0.00025533364,0.0008583465],"category_scores_gemma":[0.0002598784,0.000331533,0.000285761,0.0013771506,0.00014932381,0.00028408895,0.00039747506,0.0004073326,0.0008360396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000095356954,0.00026513272,0.014594983,0.001347784,0.0013441357,0.000065728906,0.00026301597,0.009436138,0.26799023,0.007684761,0.6667817,0.030131033],"study_design_scores_gemma":[0.0009918597,0.00023520643,0.055922326,0.00022069407,0.00032951625,0.0000141753,0.00029615432,0.087088935,0.020397771,0.005721404,0.8267931,0.001988863],"about_ca_topic_score_codex":0.00042641337,"about_ca_topic_score_gemma":0.00017583168,"teacher_disagreement_score":0.24759245,"about_ca_system_score_codex":0.00011280462,"about_ca_system_score_gemma":0.000017907292,"threshold_uncertainty_score":0.99994195},"labels":[],"label_agreement":null},{"id":"W4412387517","doi":"10.1145/3721243.3735989","title":"Painting with 3D Gaussian Splat Brushes","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Film Studies Association of Canada; University of Toronto","funders":"","keywords":"Painting; Computer graphics (images); Computer science; Art; Gaussian; Artificial intelligence; Computer vision; Visual arts; Physics","score_opus":0.002438103024369466,"score_gpt":0.20575786034660376,"score_spread":0.20331975732223428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412387517","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006532325,0.00007567588,0.84241164,0.00012498315,0.000015556263,0.000047761525,2.3955945e-7,0.0013096936,0.1494821],"genre_scores_gemma":[0.85992837,0.00001780551,0.13813163,0.0001451519,0.000013561955,0.00001037945,0.0000013089488,0.000012782796,0.0017389866],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995895,0.000004921666,0.00010211583,0.00010374396,0.00005747576,0.0001422443],"domain_scores_gemma":[0.99977773,0.00003178828,0.000008388524,0.00014478533,0.000012158096,0.00002514485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000037239348,0.00008907937,0.00012126128,0.00007089842,0.000029589648,0.000016420889,0.000076081036,0.000028129129,0.00008661268],"category_scores_gemma":[0.000010404513,0.00006430364,0.000026102072,0.00033984386,0.000019851175,0.000076807235,0.000018662826,0.000084618034,0.000014576562],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002998481,0.00008385206,0.030384602,0.00035678153,0.00067395717,0.000057149453,0.00017891423,0.075700134,0.02189084,0.044046294,0.015442215,0.81115526],"study_design_scores_gemma":[0.00066404516,0.00012798565,0.009211685,0.00047446607,0.00020772181,0.00001131344,0.00043053573,0.4925489,0.27018198,0.013754715,0.21094519,0.0014414294],"about_ca_topic_score_codex":0.000016634318,"about_ca_topic_score_gemma":0.000026920357,"teacher_disagreement_score":0.85339606,"about_ca_system_score_codex":0.000028841148,"about_ca_system_score_gemma":0.0000033793633,"threshold_uncertainty_score":0.26222265},"labels":[],"label_agreement":null},{"id":"W4412553542","doi":"10.4153/s0008439525100891","title":"On weaving Hilbert space frames and Riesz bases","year":2025,"lang":"en","type":"article","venue":"Canadian Mathematical Bulletin","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Weaving; Hilbert space; Rigged Hilbert space; Pure mathematics; Space (punctuation); Algebra over a field; Linguistics; Reproducing kernel Hilbert space","score_opus":0.003099570275868092,"score_gpt":0.20324756288675075,"score_spread":0.20014799261088265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412553542","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.065877974,0.0012677764,0.41776657,0.0428307,0.00014962048,0.0006807499,0.000038330923,0.0015710024,0.46981728],"genre_scores_gemma":[0.97317594,0.000043105203,0.020093448,0.0019987093,0.00002446805,0.000045557546,0.0000034035452,0.00003608839,0.0045792717],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.999292,0.000014150521,0.00016528826,0.00016753953,0.00008073986,0.00028023866],"domain_scores_gemma":[0.9991366,0.00036345483,0.000011325139,0.00021855475,0.000017610464,0.0002524551],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000070445945,0.00015122541,0.00023255321,0.00017054363,0.00006772658,0.000040775594,0.0001086796,0.00008199127,0.0021735844],"category_scores_gemma":[0.00047029945,0.0001409011,0.00004375897,0.00018756218,0.00010925998,0.000018411905,0.000020356221,0.0001817645,0.0006520031],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058559062,0.000033763834,0.00017277627,0.00039092737,0.00010591001,0.000057044297,0.00013465495,0.00077473494,0.0002136232,0.78607213,0.19780326,0.014235349],"study_design_scores_gemma":[0.00018040888,0.00004424729,0.00014221827,0.0005967884,0.00006641164,0.000011806866,0.0001514624,0.014129136,0.0027825928,0.37463096,0.60672265,0.000541351],"about_ca_topic_score_codex":0.000422907,"about_ca_topic_score_gemma":0.0004844257,"teacher_disagreement_score":0.90729797,"about_ca_system_score_codex":0.00012707265,"about_ca_system_score_gemma":0.00002109551,"threshold_uncertainty_score":0.9987386},"labels":[],"label_agreement":null},{"id":"W4412647470","doi":"10.55016/ojs/cdm.v2i2.62766","title":"Bounds on the f-vectors of tight spans","year":2007,"lang":"en","type":"article","venue":"Contributions to Discrete Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Mathematics; Combinatorics","score_opus":0.008045191233884797,"score_gpt":0.27843182950585554,"score_spread":0.27038663827197074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412647470","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04006639,0.000048034963,0.9508627,0.0004731269,0.000043510754,0.00026216157,0.00009165527,0.00028429466,0.007868141],"genre_scores_gemma":[0.9882982,0.0000098987275,0.011395815,0.00006244548,0.000038215578,0.000025236082,0.000009278444,0.000021813927,0.00013914335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99910146,0.000010825457,0.0003474776,0.00009413042,0.00019169238,0.00025440071],"domain_scores_gemma":[0.9989659,0.0003866766,0.000052478274,0.00040786338,0.00010282752,0.00008422289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031989338,0.0001359286,0.00023438211,0.00010062188,0.00008495167,0.000016038011,0.00022127444,0.00005284029,0.000066413835],"category_scores_gemma":[0.0004298388,0.00008982416,0.00011230513,0.00052813074,0.00006877278,0.000038659964,0.000034425666,0.00013548162,0.00006419039],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001611292,0.00020326057,0.00013508306,0.00011868845,0.0003090078,0.0000069084226,0.0011972925,0.0066620754,0.045303147,0.9338606,0.009691512,0.0024962833],"study_design_scores_gemma":[0.00039140382,0.00029914052,0.0012831222,0.00037246716,0.00028372416,0.000009138084,0.0007420543,0.04033447,0.7624463,0.13031271,0.06260078,0.00092470634],"about_ca_topic_score_codex":0.0000022992351,"about_ca_topic_score_gemma":0.000008317602,"teacher_disagreement_score":0.94823176,"about_ca_system_score_codex":0.00011452964,"about_ca_system_score_gemma":0.0000068299873,"threshold_uncertainty_score":0.36629233},"labels":[],"label_agreement":null},{"id":"W4412647867","doi":"10.55016/ojs/cdm.v2i1.61952","title":"The flow lattice of oriented matroids","year":2007,"lang":"en","type":"article","venue":"Contributions to Discrete Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Freie Universität Berlin","keywords":"Matroid; Mathematics; Combinatorics; Lattice (music); Physics","score_opus":0.00521944936892398,"score_gpt":0.2785005600038057,"score_spread":0.2732811106348817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412647867","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006501884,0.00018090062,0.9900669,0.00020800551,0.000054269574,0.00022773814,0.000083233215,0.00031609018,0.0023609998],"genre_scores_gemma":[0.7821941,0.00004724502,0.21734537,0.000029227329,0.000055902416,0.000038226768,0.000018745573,0.000033639575,0.00023758617],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989803,0.000010362847,0.00043629442,0.000088041576,0.0001862679,0.00029872305],"domain_scores_gemma":[0.9988532,0.00039014424,0.000056670502,0.00039529742,0.00020398971,0.000100700076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042135725,0.00012312351,0.00021984018,0.0000672234,0.00012571599,0.00001682788,0.00020858378,0.00004929689,0.000014450479],"category_scores_gemma":[0.0005824754,0.000086787695,0.00009793076,0.0005676152,0.000071864386,0.00005461524,0.000053454012,0.00011541067,0.000039222145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005773437,0.00025680487,0.00017764278,0.00032324236,0.00068468496,0.000014435254,0.0016568752,0.020846982,0.053769555,0.8808515,0.009077671,0.03228286],"study_design_scores_gemma":[0.0007810508,0.00022079355,0.0006702183,0.000277627,0.00045445448,0.000022564245,0.0013761095,0.45705163,0.2721555,0.11340005,0.15256642,0.0010235874],"about_ca_topic_score_codex":0.0000015998247,"about_ca_topic_score_gemma":0.000009913393,"teacher_disagreement_score":0.77569216,"about_ca_system_score_codex":0.00009917486,"about_ca_system_score_gemma":0.0000071308295,"threshold_uncertainty_score":0.35390997},"labels":[],"label_agreement":null},{"id":"W4412673651","doi":"10.1145/3731157","title":"Topological Offsets","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Topology (electrical circuits); Computer science; Mathematics; Combinatorics","score_opus":0.010752267894988577,"score_gpt":0.26670802397446125,"score_spread":0.2559557560794727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412673651","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0059518847,0.00010368573,0.98917836,0.0008560037,0.00012176999,0.00006791239,0.000005994353,0.0010090475,0.0027053666],"genre_scores_gemma":[0.98566806,0.00047970138,0.013113169,0.0005084136,0.0000070453643,0.000038492606,0.0000023863051,0.000009935434,0.00017277729],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99949527,0.000012966909,0.00013912782,0.00013160116,0.000083026986,0.0001380088],"domain_scores_gemma":[0.9994643,0.00010327766,0.000007691789,0.00036707355,0.000021947619,0.000035722147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000036919126,0.000104819905,0.00012969188,0.00022223002,0.00008654454,0.000009666104,0.00020010317,0.0000987239,0.00007997533],"category_scores_gemma":[0.000017190527,0.000095615804,0.00011591948,0.00077093317,0.00006227417,0.000055334676,0.0000025852783,0.00028234278,0.000015615045],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091555135,0.00094752474,0.0013164846,0.00019138934,0.0010780751,0.00003462747,0.00015394816,0.07718906,0.010359874,0.10994633,0.0076449374,0.7910462],"study_design_scores_gemma":[0.0007222932,0.00026636635,0.006013306,0.00012086208,0.00032273386,0.000009619789,0.0001137777,0.034929447,0.11536491,0.68962085,0.15148519,0.0010306553],"about_ca_topic_score_codex":0.0000053954145,"about_ca_topic_score_gemma":0.000015832084,"teacher_disagreement_score":0.9797162,"about_ca_system_score_codex":0.000028004275,"about_ca_system_score_gemma":0.000004217594,"threshold_uncertainty_score":0.38990995},"labels":[],"label_agreement":null},{"id":"W4412700089","doi":"10.11159/ffhmt25.144","title":"Adjoint-Based Shape Optimization Of Fin Geometry Using An Isothermal Streamwise Periodic Flow Solver","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ... International Conference on Fluid Flow, Heat and Mass Transfer","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Vlaamse regering; Universiteit Antwerpen; Vlaams Supercomputer Centrum; Fonds Wetenschappelijk Onderzoek; Agentschap Innoveren en Ondernemen","keywords":"Solver; Fin; Isothermal process; Flow (mathematics); Geometry; Mechanics; Shape optimization; Physics; Computer science; Mathematics; Mathematical optimization; Aerospace engineering; Thermodynamics; Finite element method; Engineering","score_opus":0.01744198432103952,"score_gpt":0.24623369304471865,"score_spread":0.22879170872367913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412700089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7761524,0.00006835908,0.22092816,0.00034329313,0.00011510519,0.0002010927,0.000056839177,0.00010428181,0.0020304692],"genre_scores_gemma":[0.9787306,0.00009340293,0.020981459,0.00009493119,0.000022907103,0.000015456291,0.000010960318,0.000019144265,0.00003113072],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990491,0.000005454217,0.00032291934,0.00021299001,0.00026665925,0.00014287983],"domain_scores_gemma":[0.99952763,0.000020657088,0.000021171798,0.000088861336,0.00029800186,0.00004369162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000094275645,0.00018412723,0.0002547808,0.00024196571,0.000046696558,0.000044185697,0.00032073233,0.00009001619,0.0002834619],"category_scores_gemma":[0.000022638826,0.00015123765,0.00010881814,0.0002521582,0.00010476075,0.00025283932,0.000023893032,0.00014325892,3.8947897e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015747617,0.00011886385,0.0009242823,0.00019356936,0.00012716003,2.5050375e-7,0.00015213988,0.27893117,0.7075405,0.005222967,0.00004346398,0.0065881475],"study_design_scores_gemma":[0.00028459664,0.00004621822,0.000097637276,0.0001997086,0.000046244542,4.3878907e-7,0.00005946382,0.7949654,0.20379134,0.0003632437,0.00003542346,0.00011032763],"about_ca_topic_score_codex":0.00001362282,"about_ca_topic_score_gemma":0.0000020310629,"teacher_disagreement_score":0.5160342,"about_ca_system_score_codex":0.000058827485,"about_ca_system_score_gemma":0.00003262836,"threshold_uncertainty_score":0.61672926},"labels":[],"label_agreement":null},{"id":"W4412791712","doi":"10.1016/j.cag.2025.104292","title":"Real-time meshlet decompression","year":2025,"lang":"en","type":"article","venue":"Computers & Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Decompression; Computer science; Medicine; Surgery","score_opus":0.004934730778953493,"score_gpt":0.2446741259305013,"score_spread":0.23973939515154782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412791712","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02855881,0.00030838273,0.9608538,0.00017304394,0.00028731074,0.00012492659,0.000002760481,0.0024769981,0.0072139306],"genre_scores_gemma":[0.78889877,0.002131817,0.20762232,0.0006715132,0.000113342336,0.000039540762,0.000047401994,0.00007341145,0.00040185993],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992892,0.000021893604,0.00020049968,0.00018588711,0.00010646158,0.00019605954],"domain_scores_gemma":[0.9994635,0.00010068403,0.000022754853,0.0003206725,0.000034688157,0.00005770937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000059018974,0.00015205906,0.00022791896,0.000245079,0.00006184693,0.000024412348,0.00026469238,0.00008135063,0.000013711716],"category_scores_gemma":[0.000007818805,0.00014721607,0.00011363015,0.00072790997,0.000048791822,0.00008255734,0.00008771342,0.00016387829,0.000018141549],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041306208,0.000249379,0.0036034521,0.00042357892,0.00090893573,0.00007320016,0.00026722645,0.08456401,0.11898673,0.06628397,0.45868275,0.26591545],"study_design_scores_gemma":[0.00028856922,0.000035929617,0.0025487535,0.00022605267,0.00006954298,0.000002659793,0.000005508066,0.8736476,0.015206577,0.033299647,0.07417987,0.00048930786],"about_ca_topic_score_codex":0.000007396241,"about_ca_topic_score_gemma":0.0000011097069,"teacher_disagreement_score":0.7890836,"about_ca_system_score_codex":0.00003537932,"about_ca_system_score_gemma":0.000005962729,"threshold_uncertainty_score":0.6003297},"labels":[],"label_agreement":null},{"id":"W4412861194","doi":"10.5206/mt.v5i3.22454","title":"Envelopes of Circles Centered on a Kiss Curve","year":2025,"lang":"en","type":"article","venue":"Maple Transactions","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"KISS (TNC); Art; Computer science","score_opus":0.007918129930192535,"score_gpt":0.24073782931715948,"score_spread":0.23281969938696695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412861194","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009534441,0.00008468578,0.98384356,0.00019051749,0.00006902543,0.000079529746,0.000028656743,0.00041642407,0.005753146],"genre_scores_gemma":[0.99402565,0.00009822091,0.0053998902,0.000034000925,0.000005160567,0.000027910764,0.0000042698744,0.000010572302,0.0003943023],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99956304,0.0000105082145,0.00016077422,0.00009542994,0.00006574864,0.00010449523],"domain_scores_gemma":[0.99973935,0.000043269003,0.000012414193,0.00016150903,0.000019958818,0.00002350839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000023852714,0.00008040009,0.00014594517,0.00014260728,0.000035188583,0.0000051483094,0.00008970596,0.000036153146,0.00012928099],"category_scores_gemma":[0.000004697794,0.000082592705,0.000087957786,0.00034552775,0.000027750275,0.000047196798,0.000001893438,0.00010070116,0.000009669609],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007502382,0.00067538116,0.00062403776,0.00052368117,0.0009403752,0.0000066910975,0.0006178628,0.19291694,0.15665188,0.005144263,0.0032618144,0.638562],"study_design_scores_gemma":[0.0005365787,0.00009533786,0.0058273883,0.00022089272,0.00016487211,0.000001505285,0.00023697004,0.02086304,0.89048314,0.006125405,0.07501462,0.00043022822],"about_ca_topic_score_codex":0.000024296236,"about_ca_topic_score_gemma":0.000038621627,"teacher_disagreement_score":0.9844912,"about_ca_system_score_codex":0.000037075806,"about_ca_system_score_gemma":0.0000051968295,"threshold_uncertainty_score":0.3368033},"labels":[],"label_agreement":null},{"id":"W4412861207","doi":"10.5206/mt.v5i3.22492","title":"An Efficient Vector-Intensive Presentation of 2-Dimensional Curves","year":2025,"lang":"en","type":"article","venue":"Maple Transactions","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Vector (molecular biology); Geology; Computer science; Mathematics; Medicine; Biology; Radiology; Genetics","score_opus":0.006731865424943038,"score_gpt":0.26732864482283586,"score_spread":0.26059677939789283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412861207","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02420979,0.00027447744,0.9741918,0.00020368754,0.000085855085,0.00011673182,0.00002411571,0.0003144055,0.0005791601],"genre_scores_gemma":[0.9949982,0.000034614346,0.0046586874,0.00007309059,0.0000054680536,0.000029683459,0.000016708169,0.00000858711,0.00017494989],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995299,0.000016185902,0.00016217509,0.00010172347,0.00010065732,0.000089332905],"domain_scores_gemma":[0.99963236,0.000045420482,0.000015632808,0.0001535156,0.0001241659,0.000028890277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000030335195,0.00007293801,0.00012815172,0.00011074904,0.0000380788,0.0000036339115,0.000064875436,0.000028572356,0.00017507508],"category_scores_gemma":[0.0000068151735,0.00007299264,0.00006749179,0.00034871136,0.00003594238,0.00005919756,0.0000016374015,0.000083099025,0.0000052977803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009151023,0.000083050225,0.000035013258,0.00011500146,0.00008002515,7.1471885e-7,0.000071654395,0.92445713,0.06976893,0.00022714776,0.0010093143,0.004142883],"study_design_scores_gemma":[0.00019974836,0.00004938671,0.003022608,0.00014826554,0.00012840686,0.0000015746876,0.0001544497,0.65844727,0.33596015,0.0006421282,0.0010765658,0.00016945478],"about_ca_topic_score_codex":0.000039767932,"about_ca_topic_score_gemma":0.000019017321,"teacher_disagreement_score":0.9707884,"about_ca_system_score_codex":0.000031920343,"about_ca_system_score_gemma":0.000008327642,"threshold_uncertainty_score":0.29765534},"labels":[],"label_agreement":null},{"id":"W4412861226","doi":"10.5206/mt.v5i3.22493","title":"Geometry of Continuous Adjoint Newton's Method for Bivariate Quadratics","year":2025,"lang":"en","type":"article","venue":"Maple Transactions","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Science Foundation","keywords":"Bivariate analysis; Mathematics; Newton's method; Geometry; Applied mathematics; Calculus (dental); Statistics; Physics; Nonlinear system","score_opus":0.006766026341372361,"score_gpt":0.28100444990196793,"score_spread":0.2742384235605956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412861226","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00037877256,0.00011895761,0.9976621,0.0002964586,0.000115222276,0.00020933834,0.0000577343,0.00039622074,0.00076516834],"genre_scores_gemma":[0.30562228,0.000061764345,0.6921337,0.00005706148,0.000016191558,0.00013595722,0.000010501012,0.000026782489,0.0019357324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993477,0.000016114931,0.00028906998,0.00012279686,0.00006808088,0.00015622751],"domain_scores_gemma":[0.99946386,0.0001954286,0.000030413303,0.00021305415,0.00006372079,0.00003351435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010255003,0.000111413065,0.00029164003,0.00022254421,0.00005047465,0.000008862087,0.00010332796,0.00006853535,0.000079629914],"category_scores_gemma":[0.000022248942,0.00011320465,0.00017432033,0.0005934906,0.000023507599,0.00006145149,0.0000029303887,0.00011371716,0.0000020847572],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061697734,0.00031054713,0.00005956644,0.00083545543,0.0011912081,0.0000018828571,0.0003455705,0.3978522,0.1954485,0.019199632,0.0044372804,0.38025644],"study_design_scores_gemma":[0.0006572516,0.00010498008,0.00020194746,0.00006555222,0.00053224195,0.000001979399,0.00022663818,0.42741093,0.432826,0.019572342,0.118030384,0.00036972994],"about_ca_topic_score_codex":0.000054638145,"about_ca_topic_score_gemma":0.000034528057,"teacher_disagreement_score":0.3798867,"about_ca_system_score_codex":0.000042710795,"about_ca_system_score_gemma":0.000012124065,"threshold_uncertainty_score":0.46163517},"labels":[],"label_agreement":null},{"id":"W4413146261","doi":"10.1109/cvpr52734.2025.02216","title":"Derivative-Free Diffusion Manifold-Constrained Gradient for Unified XAI","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kootenay Association for Science & Technology","funders":"National Research Foundation","keywords":"Manifold (fluid mechanics); Derivative (finance); Diffusion; Computer science; Physics; Engineering; Business","score_opus":0.007422950710507398,"score_gpt":0.24195713753441822,"score_spread":0.23453418682391083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413146261","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012179838,0.000060856768,0.96068054,0.00036931408,0.0000708296,0.00029173683,0.000007841198,0.0011266377,0.025212418],"genre_scores_gemma":[0.8455648,0.000047616566,0.15148336,0.00023070886,0.000022885459,0.00013206796,0.000017940998,0.000022981658,0.0024776312],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993302,0.000007494912,0.00020987545,0.00017375048,0.0000712814,0.00020735669],"domain_scores_gemma":[0.9994881,0.00009676841,0.000018103474,0.00031082678,0.000042498046,0.000043680906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000050611638,0.00014343168,0.00019985232,0.00012934186,0.000056493413,0.000014868855,0.00021776874,0.000056734465,0.00006731869],"category_scores_gemma":[0.000072897914,0.00012351712,0.00009850749,0.00033071588,0.000026713542,0.000067421635,0.00006457604,0.000072655384,0.0000050876383],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061400846,0.00018922355,0.0005168968,0.000310432,0.00038516807,0.000007222983,0.00013989968,0.0032261855,0.19274867,0.6511521,0.031959537,0.119303286],"study_design_scores_gemma":[0.0020979093,0.00016977648,0.0024036432,0.00013160816,0.00015644795,0.0000026638118,0.00029258608,0.20296665,0.34278342,0.31754455,0.1305381,0.0009126409],"about_ca_topic_score_codex":0.000008583623,"about_ca_topic_score_gemma":0.000020506199,"teacher_disagreement_score":0.833385,"about_ca_system_score_codex":0.0000692239,"about_ca_system_score_gemma":0.000006129348,"threshold_uncertainty_score":0.50368816},"labels":[],"label_agreement":null},{"id":"W4413158325","doi":"10.1109/cvpr52734.2025.02169","title":"Decoupling Training-Free Guided Diffusion by ADMM","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Decoupling (probability); Computer science; Training (meteorology); Control theory (sociology); Artificial intelligence; Control engineering; Engineering; Physics","score_opus":0.009415672734623067,"score_gpt":0.2579901421053476,"score_spread":0.24857446937072453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413158325","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028674131,0.00029128106,0.9246002,0.000257448,0.000062303545,0.0000744573,0.0000032390947,0.0016933499,0.044343613],"genre_scores_gemma":[0.92228836,0.00014063407,0.07175614,0.00041230553,0.0000257359,0.000031971307,0.000012132805,0.00002823898,0.0053044725],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999377,0.0000041031763,0.00020458171,0.00014458202,0.00008710662,0.00018263853],"domain_scores_gemma":[0.99957514,0.00004895353,0.000012513235,0.00029895213,0.000019881043,0.000044557353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005388953,0.000115464456,0.00017333557,0.00008457646,0.00004019101,0.000015133335,0.00022749345,0.000058340964,0.00015009071],"category_scores_gemma":[0.00007481981,0.00010288393,0.00006213466,0.00033049996,0.000016885662,0.00006999381,0.00006837018,0.000100713514,0.000011730921],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000067732835,0.000063382686,0.000810523,0.00007074878,0.00015096854,0.000005087789,0.00015514795,0.012987033,0.25533387,0.0049130847,0.55261374,0.17288968],"study_design_scores_gemma":[0.00060475705,0.000029760138,0.00023970271,0.00008594986,0.00006562282,0.0000018393598,0.00015777597,0.54384595,0.23534037,0.028694892,0.1903574,0.0005759625],"about_ca_topic_score_codex":0.000013225634,"about_ca_topic_score_gemma":0.000012438929,"teacher_disagreement_score":0.89361423,"about_ca_system_score_codex":0.000052664713,"about_ca_system_score_gemma":0.000004734872,"threshold_uncertainty_score":0.41954848},"labels":[],"label_agreement":null},{"id":"W4413184960","doi":"10.55016/ojs/cdm.v6i1.62078","title":"Dual linear spaces generated by a non-Desarguesian configuration","year":2011,"lang":"en","type":"article","venue":"Contributions to Discrete Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Dual (grammatical number); Combinatorics; Art","score_opus":0.012466961325010253,"score_gpt":0.26383733401366455,"score_spread":0.2513703726886543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413184960","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012853012,0.000078112425,0.98153555,0.00013833554,0.00004504418,0.00036986676,0.0002613203,0.0006857458,0.0040330007],"genre_scores_gemma":[0.89335674,0.000030450958,0.105798684,0.000057275087,0.00006871792,0.00013906958,0.00019364564,0.000045058518,0.0003103641],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989692,0.000017399878,0.0003745884,0.00017609712,0.00015338375,0.00030935157],"domain_scores_gemma":[0.99922067,0.00003741573,0.000060466107,0.00032268724,0.00018665033,0.00017213575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011527276,0.00021393532,0.0003092422,0.00009992438,0.00010713221,0.000039754963,0.00014944286,0.00010064188,0.00014723434],"category_scores_gemma":[0.00015544647,0.00019417574,0.0000824597,0.00044794608,0.000048384845,0.00015462021,0.00003324191,0.00013546273,0.00023109751],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044930523,0.0006694854,0.00009579171,0.00035807912,0.0009014185,0.000043190168,0.0068937605,0.005158063,0.8504618,0.0623153,0.06831646,0.004741752],"study_design_scores_gemma":[0.0004054635,0.00015536249,0.0000535085,0.000110629895,0.00018155306,0.00001035776,0.0003356847,0.30728552,0.67128706,0.009880648,0.009523892,0.0007703281],"about_ca_topic_score_codex":0.000011636684,"about_ca_topic_score_gemma":0.000006033879,"teacher_disagreement_score":0.8805037,"about_ca_system_score_codex":0.00010596374,"about_ca_system_score_gemma":0.0000127512185,"threshold_uncertainty_score":0.79182565},"labels":[],"label_agreement":null},{"id":"W4413186386","doi":"10.55016/ojs/cdm.v7i2.62130","title":"A continuous variant of the inverse Littlewood-Offord problem for quadratic forms","year":2012,"lang":"en","type":"article","venue":"Contributions to Discrete Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Combinatorics; Inverse; Quadratic equation; Geometry","score_opus":0.009092201562467931,"score_gpt":0.26784169735271873,"score_spread":0.2587494957902508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413186386","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011659882,0.00009607942,0.9850417,0.0002953516,0.00006401426,0.0012225814,0.0002837767,0.00022293616,0.0011137142],"genre_scores_gemma":[0.8448965,0.000007968523,0.15426196,0.000053458873,0.000052233765,0.00047146447,0.000019338557,0.00003552389,0.00020158218],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988722,0.000015673697,0.0004746749,0.00009594966,0.00014920974,0.00039226192],"domain_scores_gemma":[0.9989859,0.00018146391,0.00011257239,0.00043518172,0.0001592616,0.00012560844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002807965,0.00017079119,0.00037358367,0.00006178921,0.00009990308,0.000018511606,0.00025546463,0.00007389604,0.000016016445],"category_scores_gemma":[0.00052888616,0.00011137431,0.0002063104,0.00040552818,0.00005902623,0.00015978278,0.0000779046,0.00010246574,0.000014958816],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003321316,0.0007258837,0.0006703517,0.0018354872,0.0008604886,0.0000012653747,0.0058171735,0.008390297,0.03572648,0.9258358,0.016318882,0.0037847108],"study_design_scores_gemma":[0.0020096495,0.00041673987,0.00046360758,0.0010169895,0.0015210293,0.000051235893,0.0016608525,0.26703978,0.16620304,0.47695994,0.080925986,0.0017311466],"about_ca_topic_score_codex":0.0000024147046,"about_ca_topic_score_gemma":0.000011313887,"teacher_disagreement_score":0.8332366,"about_ca_system_score_codex":0.00011713415,"about_ca_system_score_gemma":0.000016123648,"threshold_uncertainty_score":0.45417127},"labels":[],"label_agreement":null},{"id":"W4413187090","doi":"10.55016/ojs/cdm.v3i2.61928","title":"Astral (n_4) configurations of pseudolines","year":2008,"lang":"en","type":"article","venue":"Contributions to Discrete Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Combinatorics; Mathematics","score_opus":0.012248130815646246,"score_gpt":0.2807685538845746,"score_spread":0.26852042306892837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413187090","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04052421,0.00007245739,0.9557478,0.00025810683,0.00003354585,0.0002333146,0.00028719695,0.00041805318,0.0024253477],"genre_scores_gemma":[0.93397653,0.00003976077,0.06562157,0.000018136834,0.000040649673,0.000058488076,0.000037323898,0.000019810934,0.00018771816],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991231,0.000010066177,0.00041537377,0.00009981993,0.000145609,0.00020601785],"domain_scores_gemma":[0.9992399,0.00009203051,0.000053285476,0.00029663133,0.00021174614,0.00010641261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000059354126,0.00013659193,0.00030959112,0.00010767426,0.00009187845,0.000007972588,0.00015392656,0.00005397806,0.000070196955],"category_scores_gemma":[0.0002827135,0.00012427782,0.00011127633,0.00042124133,0.00008832418,0.000092807684,0.000026269072,0.000091832684,0.000053302098],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025401068,0.0007106986,0.00071237993,0.0005499247,0.00084770925,0.000039400722,0.003782717,0.1328304,0.42297944,0.38739246,0.04758462,0.0025448413],"study_design_scores_gemma":[0.0012528673,0.000353977,0.0032996244,0.00038690088,0.00047032232,0.00019227363,0.0006355299,0.32846463,0.56132084,0.071651064,0.030142512,0.0018294315],"about_ca_topic_score_codex":0.0000026726775,"about_ca_topic_score_gemma":0.0000024455967,"teacher_disagreement_score":0.89345235,"about_ca_system_score_codex":0.000054429514,"about_ca_system_score_gemma":0.000017218632,"threshold_uncertainty_score":0.5067903},"labels":[],"label_agreement":null},{"id":"W4413391237","doi":"10.1115/omae2025-156082","title":"Effects of Geometrical Irregularities on Displacement Flow in Annuli: An Experimental Approach","year":2025,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Displacement (psychology); Flow (mathematics); Mechanics; Computer science; Geology; Physics; Psychology","score_opus":0.004330003521767143,"score_gpt":0.24956117849365222,"score_spread":0.24523117497188507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413391237","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48069572,0.0013527923,0.5017507,0.000021612024,0.000084868836,0.0005057778,0.000002301783,0.0005372303,0.015048966],"genre_scores_gemma":[0.9698709,0.000029884182,0.029613225,0.00004156444,0.000008815024,0.00010392617,0.0000074786144,0.000011757378,0.00031243317],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993016,0.000023381936,0.00019863878,0.00016968008,0.00014476616,0.0001619462],"domain_scores_gemma":[0.9996791,0.000092065864,0.000011616871,0.0001694466,0.000010103409,0.000037663358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000043393626,0.00012903594,0.00024579634,0.00039256256,0.000013226451,0.000008600495,0.000121161975,0.000056134588,0.000015884358],"category_scores_gemma":[0.0000285048,0.00011331832,0.000052744545,0.00074349693,0.000033209002,0.00009210784,0.00003839785,0.000102893995,0.000001412416],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034693428,0.01091303,0.0038117107,0.0030401398,0.0006035064,0.00005687962,0.0019208796,0.3752996,0.3891285,0.06409539,0.0054301447,0.14535327],"study_design_scores_gemma":[0.00039606658,0.00017366618,0.001933115,0.000044420118,0.000012958814,2.1195736e-7,0.00014763793,0.15773058,0.8386456,0.00041922354,0.00033379355,0.00016273596],"about_ca_topic_score_codex":0.00001847383,"about_ca_topic_score_gemma":0.0000012560815,"teacher_disagreement_score":0.4891752,"about_ca_system_score_codex":0.000109166715,"about_ca_system_score_gemma":0.0000032296673,"threshold_uncertainty_score":0.4620987},"labels":[],"label_agreement":null},{"id":"W4413677562","doi":"10.1109/tmtt.2025.3597040","title":"An Iterative FEM Solver for IC Electromagnetic Analysis via Hybrid Geometric-Algebraic Partitioning and Neural Network Optimization","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China","keywords":"Solver; Finite element method; Artificial neural network; Iterative method; Algebraic number; Computer science; Electromagnetic field; Electronic engineering; Algebra over a field; Mathematics; Computational science; Applied mathematics; Mathematical optimization; Algorithm; Mathematical analysis; Engineering; Physics; Pure mathematics; Artificial intelligence; Structural engineering","score_opus":0.004086837929044275,"score_gpt":0.23453485038633,"score_spread":0.23044801245728574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413677562","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047064994,0.000396731,0.95119864,0.000024434103,0.000029416735,0.00036110505,0.000018503422,0.00080754346,0.000098625955],"genre_scores_gemma":[0.912249,0.0003675033,0.086876564,0.00014059707,0.000021065636,0.00023051062,0.000026232134,0.000026438138,0.00006207781],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989493,0.00011642747,0.00027620167,0.00033016092,0.00006275409,0.00026514434],"domain_scores_gemma":[0.9993433,0.00027177588,0.000046173252,0.000206769,0.00006793492,0.00006408612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000284895,0.00023593863,0.00033299974,0.0006754465,0.00028658495,0.00008332164,0.00008792303,0.00008978499,0.000031963104],"category_scores_gemma":[0.000006153005,0.00023841258,0.00013182932,0.001267025,0.00010164443,0.00027334108,0.0000018647781,0.0002097228,2.4220833e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003035663,0.00015718784,0.000038780243,0.00009943863,0.0011432288,0.0000035782753,0.00013156503,0.4625017,0.3358057,0.002437164,0.000108930486,0.19726913],"study_design_scores_gemma":[0.00013786199,0.00033357827,0.000015740228,0.0000300694,0.00078485353,0.0000055217033,0.000015997155,0.12731515,0.8422612,0.02878261,0.000045557957,0.00027187576],"about_ca_topic_score_codex":0.0000039678057,"about_ca_topic_score_gemma":0.000011484275,"teacher_disagreement_score":0.865184,"about_ca_system_score_codex":0.00005395057,"about_ca_system_score_gemma":0.000005555425,"threshold_uncertainty_score":0.97221833},"labels":[],"label_agreement":null},{"id":"W4413735166","doi":"10.4153/s0008439525101100","title":"Absolute continuity in the reproducing kernel sense","year":2025,"lang":"en","type":"article","venue":"Canadian Mathematical Bulletin","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of Windsor; University of Manitoba","funders":"","keywords":"Mathematics; Absolute (philosophy); Kernel (algebra); Absolute continuity; Sense (electronics); Pure mathematics; Calculus (dental); Epistemology","score_opus":0.005314741246418147,"score_gpt":0.2223269605369586,"score_spread":0.21701221929054046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413735166","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22435851,0.0010064844,0.12868318,0.034017373,0.00020122969,0.0020071855,0.000028462042,0.0012179895,0.60847956],"genre_scores_gemma":[0.9931207,0.000013753012,0.0038842838,0.001426319,0.000028680382,0.00008763927,0.0000024885996,0.000017529537,0.0014186249],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99901575,0.000043480573,0.00028442836,0.0002119451,0.00010018832,0.00034423405],"domain_scores_gemma":[0.9991366,0.00021909756,0.00001579388,0.0004982604,0.00002224922,0.00010799969],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00047598296,0.00013024556,0.00022895781,0.00015047049,0.000050139868,0.000038564263,0.00021064862,0.000070346796,0.0007101741],"category_scores_gemma":[0.00049453217,0.00010152817,0.00006463974,0.00040977309,0.000059727317,0.00001804695,0.000019835183,0.00027235446,0.00084297545],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020690824,0.00021220554,0.0007506217,0.001201696,0.00028099454,0.0011869195,0.00363542,0.005619431,0.0018958122,0.39906695,0.52742517,0.058704108],"study_design_scores_gemma":[0.00031708737,0.000018493392,0.0030505867,0.00038691077,0.00006911923,0.00004160173,0.0004951944,0.018773325,0.0013252232,0.17439537,0.8005232,0.00060386735],"about_ca_topic_score_codex":0.0007656813,"about_ca_topic_score_gemma":0.0024355324,"teacher_disagreement_score":0.7687622,"about_ca_system_score_codex":0.00017198578,"about_ca_system_score_gemma":0.000027856875,"threshold_uncertainty_score":0.999935},"labels":[],"label_agreement":null},{"id":"W4413966137","doi":"10.70930/tac/z7sdexcb","title":"Topoi of parametrized objects","year":2019,"lang":"en","type":"article","venue":"Theory and applications of categories","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Topos theory; Computer science; Mathematics; Art; Literature","score_opus":0.003395869629443256,"score_gpt":0.22551952847071036,"score_spread":0.2221236588412671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413966137","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.47222987,0.0015512544,0.50843567,0.000013780856,0.000014267047,0.00037295392,0.000011020596,0.00024263568,0.017128572],"genre_scores_gemma":[0.9968436,0.00014398481,0.0027980446,0.0000046577816,0.000006751154,0.000046922087,0.000004135101,0.0000065544305,0.00014534922],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99969316,0.000012157238,0.00013503456,0.00006266191,0.00004407808,0.000052910957],"domain_scores_gemma":[0.9995584,0.0001696883,0.000036802456,0.00018798388,0.000030915337,0.000016193904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000105600906,0.000052725598,0.00015617094,0.00005693323,0.000011746986,0.0000023066073,0.00007653039,0.000026050338,0.000036877373],"category_scores_gemma":[0.000014116052,0.00004645191,0.000026595035,0.0002494872,0.00009396744,0.00005017982,0.0000155227,0.000037326554,0.0000051021943],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020265163,0.000020235033,0.0002883122,0.000117569434,0.000036868874,2.5852527e-8,0.00015324402,0.0005364988,0.046835065,0.93006396,0.00001149395,0.021916484],"study_design_scores_gemma":[0.00008548123,0.00002360231,0.00018059365,0.0000054933994,0.000022763108,5.084289e-7,0.00029279327,0.00017240697,0.40903032,0.587973,0.002136325,0.00007671497],"about_ca_topic_score_codex":0.0000021779722,"about_ca_topic_score_gemma":2.370115e-7,"teacher_disagreement_score":0.52461374,"about_ca_system_score_codex":0.0000036737883,"about_ca_system_score_gemma":0.0000029720927,"threshold_uncertainty_score":0.1894254},"labels":[],"label_agreement":null},{"id":"W4414210256","doi":"10.1145/3766904","title":"Parsimonious Simplicial Intersection Algorithm","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Mathematical Software","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Intersection (aeronautics); Efficient algorithm; Tetrahedron; Combinatorial algorithms; Approximation algorithm; Algorithm design","score_opus":0.0075803898982994234,"score_gpt":0.2573248389011466,"score_spread":0.24974444900284717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414210256","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.001032887,0.000025030378,0.9962176,0.0001450539,0.00012053001,0.00015718884,0.000012929052,0.0019072706,0.000381506],"genre_scores_gemma":[0.16285391,0.000035233126,0.83627737,0.00018768565,0.000030838146,0.00016112773,0.0000061826127,0.00004153866,0.00040613112],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99916285,0.00001607804,0.00027188554,0.00019130504,0.00014017412,0.0002177214],"domain_scores_gemma":[0.99920404,0.00026182082,0.000016754646,0.00041882173,0.00003419847,0.00006438814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000050864335,0.00017855367,0.0002463624,0.00016539432,0.000109769666,0.000025409512,0.00022958031,0.000115800205,0.00024342406],"category_scores_gemma":[0.00008995109,0.00016657513,0.00015837721,0.00048616747,0.000049221788,0.00009903182,0.0000068403106,0.00030004495,0.00013028705],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000005514473,0.000110960944,0.0000035761125,0.000064370906,0.0000927222,0.0000024134551,0.000042405914,0.006460739,0.0001595973,0.00015642008,0.00010984947,0.9927914],"study_design_scores_gemma":[0.00025651683,0.000088786444,0.000050089828,0.00016117227,0.00015408984,0.0000074694854,0.0000980122,0.02631417,0.021931196,0.94699514,0.0035775716,0.0003657784],"about_ca_topic_score_codex":0.0000033789233,"about_ca_topic_score_gemma":0.0000037266877,"teacher_disagreement_score":0.9924257,"about_ca_system_score_codex":0.0001499769,"about_ca_system_score_gemma":0.000007216599,"threshold_uncertainty_score":0.6792737},"labels":[],"label_agreement":null},{"id":"W4414290603","doi":"10.1145/3767323","title":"Local Surface Parameterizations via Smoothed Geodesic Splines","year":2025,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Surface fitting; Surface (topology); Geodesic; Projection (relational algebra); Spline (mechanical); Point (geometry); Geometry processing; Thin plate spline","score_opus":0.009528393514469047,"score_gpt":0.25134249762599875,"score_spread":0.2418141041115297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414290603","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009726853,0.00009758672,0.98811424,0.0004402882,0.00012273666,0.00013568508,0.000016506492,0.0011012402,0.0002448579],"genre_scores_gemma":[0.95791745,0.00042255942,0.041154247,0.00027031515,0.000005703124,0.000041011885,0.000011231512,0.000030946165,0.00014653172],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991912,0.000023511962,0.00024782313,0.00020802714,0.00012272461,0.00020666787],"domain_scores_gemma":[0.99911845,0.00017934972,0.000019672907,0.0005729896,0.000054598037,0.000054955948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000052039144,0.00018518546,0.0002071553,0.0002649232,0.0001492626,0.000020966074,0.00026432762,0.00012006445,0.000042644744],"category_scores_gemma":[0.00001529151,0.00018787375,0.00015458377,0.0015548836,0.00011698589,0.00011271725,0.000003927453,0.00029224626,0.000015783135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016599968,0.00016254617,0.00013713048,0.00005790589,0.00027099336,0.0000027464218,0.000035189267,0.9223298,0.007980774,0.0018893786,0.00018602025,0.06693096],"study_design_scores_gemma":[0.000545242,0.00012770515,0.0011069819,0.00012471089,0.00043757466,0.000005242595,0.000075195094,0.7200435,0.14195836,0.12009817,0.014572077,0.0009052299],"about_ca_topic_score_codex":0.000022065313,"about_ca_topic_score_gemma":0.000052800522,"teacher_disagreement_score":0.9481906,"about_ca_system_score_codex":0.00004683765,"about_ca_system_score_gemma":0.000010748274,"threshold_uncertainty_score":0.76612693},"labels":[],"label_agreement":null},{"id":"W4414400437","doi":"10.1016/j.cag.2025.104441","title":"Narrowing-Cascade splines for control nets that shed mesh lines","year":2025,"lang":"en","type":"article","venue":"Computers & Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; Fields Institute for Research in Mathematical Sciences","keywords":"Polygon mesh; Cascade; Spline (mechanical); Animation; Surface (topology); Computer animation; Volume mesh; STRIPS","score_opus":0.010687165949025454,"score_gpt":0.25553458483087144,"score_spread":0.24484741888184597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414400437","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0076764044,0.0012088697,0.9879827,0.0008936129,0.000545313,0.00034496494,0.000010607191,0.0012342959,0.00010324353],"genre_scores_gemma":[0.9514472,0.00028786913,0.046277504,0.001607009,0.00014986256,0.00010093264,0.000024062087,0.000044047985,0.00006152481],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989674,0.00001905211,0.0002922857,0.0002785756,0.00012610458,0.00031656073],"domain_scores_gemma":[0.9991934,0.00028131777,0.00004473367,0.00031962382,0.00008906969,0.000071891685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011210986,0.00025288388,0.00041995282,0.00028998803,0.00009936512,0.00004774695,0.00033725577,0.0001348608,0.0000024427748],"category_scores_gemma":[0.00003759398,0.00024118388,0.00028566268,0.0005962584,0.000073055984,0.00012808073,0.000046171477,0.00018846315,0.000001730727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031864762,0.00042769115,0.017708194,0.0017691578,0.0043103313,0.000060588314,0.0006308619,0.3327002,0.023120802,0.09345517,0.23443757,0.29106078],"study_design_scores_gemma":[0.0007139919,0.000044684202,0.0007621392,0.00011421575,0.00012580947,0.0000019702322,0.000010823866,0.92652607,0.0070655034,0.014637756,0.049633514,0.000363545],"about_ca_topic_score_codex":0.0000044151466,"about_ca_topic_score_gemma":0.0000070801275,"teacher_disagreement_score":0.94377077,"about_ca_system_score_codex":0.000031037594,"about_ca_system_score_gemma":0.00000987596,"threshold_uncertainty_score":0.9835193},"labels":[],"label_agreement":null},{"id":"W4414588291","doi":"10.2139/ssrn.5606943","title":"A functional approach for curve alignment and shape analysis","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Shape analysis (program analysis); Functional data analysis; Active shape model; Context (archaeology); Deformation (meteorology); Rotation (mathematics); Basis (linear algebra); Functional principal component analysis; Curve fitting; Point distribution model","score_opus":0.010253559294248624,"score_gpt":0.2479919223662127,"score_spread":0.23773836307196408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414588291","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019774046,0.009209553,0.98746735,0.00010003509,0.00008792975,0.00028354945,0.00004178198,0.00021893792,0.0006134805],"genre_scores_gemma":[0.9025089,0.029599471,0.06388872,0.00009955447,0.0005803365,0.00049619685,0.00044546227,0.00008449543,0.0022968508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99747646,0.00004216814,0.00045707353,0.00041600456,0.00026462425,0.0013436564],"domain_scores_gemma":[0.9993293,0.00006841302,0.00014442526,0.00026138822,0.00010493273,0.00009150022],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0008021814,0.00035484546,0.0006481875,0.0005683254,0.00012440256,0.00007421925,0.00027410436,0.00023710645,0.000024367606],"category_scores_gemma":[0.00003085244,0.00033366872,0.000585768,0.00047262662,0.000036455804,0.00007375909,0.00016579326,0.0023729105,7.1803726e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000102893086,0.00017331896,0.0013204,0.00035086728,0.030887863,0.0000016348966,0.00009362082,0.81333506,0.00022614138,0.044536598,0.0011256797,0.107845925],"study_design_scores_gemma":[0.00037025375,0.00009357868,0.00023403502,0.00003847015,0.0037690238,0.000030102277,0.00019270096,0.67324406,0.0001983875,0.3196508,0.0015794063,0.00059917464],"about_ca_topic_score_codex":0.000013493005,"about_ca_topic_score_gemma":0.00004781936,"teacher_disagreement_score":0.9235786,"about_ca_system_score_codex":0.0013900064,"about_ca_system_score_gemma":0.00041560878,"threshold_uncertainty_score":0.99992865},"labels":[],"label_agreement":null},{"id":"W4414817980","doi":"10.1016/j.topol.2026.109894","title":"Continuous approximate roots of polynomial equations via shape theory","year":2025,"lang":"en","type":"article","venue":"Topology and its Applications","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Braid; Polynomial; Hausdorff space; Compact space; Space (punctuation); Continuous functions on a compact Hausdorff space; Hausdorff distance","score_opus":0.005700635033382915,"score_gpt":0.25675581727790747,"score_spread":0.25105518224452456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414817980","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0073225107,0.0011454558,0.98333246,0.00025706022,0.000018018878,0.0002317246,0.000012305204,0.00022874858,0.0074517336],"genre_scores_gemma":[0.99570596,0.00011373366,0.0034855632,0.00006815761,0.00001666935,0.00024522204,0.00001187514,0.000006578063,0.00034624673],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99957556,0.000016492417,0.00017374972,0.00011070397,0.00002393935,0.00009957775],"domain_scores_gemma":[0.99961144,0.00015911329,0.000029407707,0.00014436641,0.00003271411,0.00002298816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006271304,0.000070339906,0.00015527362,0.00008634109,0.00007011124,0.000002959896,0.000092356015,0.0000702767,0.00007068742],"category_scores_gemma":[0.000023461755,0.000068872534,0.000028307502,0.0002173651,0.00010439861,0.00003798719,0.000030243478,0.00008067814,0.000007637626],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010249194,0.00006776873,0.00013125662,0.00005428642,0.00011038817,1.900738e-7,0.000067378955,0.0004943795,0.049924456,0.82539314,0.0003967785,0.12334975],"study_design_scores_gemma":[0.00070495706,0.000092162845,0.0035349824,0.00003426859,0.0003999292,0.000007838814,0.0003013311,0.22667563,0.13420333,0.585889,0.047552824,0.0006037772],"about_ca_topic_score_codex":0.0000033525382,"about_ca_topic_score_gemma":0.0000032412156,"teacher_disagreement_score":0.9883835,"about_ca_system_score_codex":0.000010955951,"about_ca_system_score_gemma":0.000006165853,"threshold_uncertainty_score":0.28085405},"labels":[],"label_agreement":null},{"id":"W4415077200","doi":"10.1111/cgf.70275","title":"Geometric Integration for Neural Control Variates","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"","keywords":"Control variates; Numerical integration; Artificial neural network; Monte Carlo method; Piecewise linear function; Perceptron; Piecewise; Quasi-Monte Carlo method; Monte Carlo integration","score_opus":0.00558568533164889,"score_gpt":0.23437131325465294,"score_spread":0.22878562792300405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415077200","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002042076,0.00032380084,0.9959033,0.00034798248,0.0003516529,0.00024540574,0.000009183503,0.0006650868,0.00011151451],"genre_scores_gemma":[0.9693408,0.000036000143,0.029755885,0.0006705326,0.000053457083,0.000082813276,0.000023048779,0.000016496222,0.000020976338],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932736,0.000010688694,0.00020995969,0.0001594205,0.000067598485,0.00022494757],"domain_scores_gemma":[0.9994945,0.00018406153,0.000025730684,0.00017960143,0.00008319555,0.0000328913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007426395,0.00013512203,0.00020751783,0.00055555324,0.000067269575,0.00004085833,0.0001764654,0.00007131217,0.000002049979],"category_scores_gemma":[0.000023306682,0.0001238167,0.00015117116,0.001166329,0.00002548974,0.000117054195,0.000028525154,0.00012751069,0.0000014919153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004530817,0.00011938592,0.0072127627,0.00016995378,0.00059411686,0.0000029413657,0.000039583218,0.07207179,0.0014426346,0.4069405,0.039219968,0.47214106],"study_design_scores_gemma":[0.00027771512,0.0000540522,0.0010276786,0.000014086177,0.00003642482,4.9557195e-7,0.000002514009,0.94967765,0.001502351,0.040693365,0.006588777,0.00012486977],"about_ca_topic_score_codex":0.000003736151,"about_ca_topic_score_gemma":0.0000054747284,"teacher_disagreement_score":0.9672987,"about_ca_system_score_codex":0.000027728738,"about_ca_system_score_gemma":0.000003919993,"threshold_uncertainty_score":0.5049099},"labels":[],"label_agreement":null},{"id":"W4415312342","doi":"10.1109/tvcg.2025.3622483","title":"Optimizing Parameters for Static Equilibrium of Discrete Elastic Rods With Active-Set Cholesky","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cholesky decomposition; Conjugate gradient method; Preconditioner; Augmented Lagrangian method; Stability (learning theory); Minification; Work (physics); Simple (philosophy); Maximization","score_opus":0.0127448833389031,"score_gpt":0.2814281019859366,"score_spread":0.2686832186470335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415312342","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019935798,0.000018812783,0.9794661,0.000013446687,0.00008202735,0.00022246315,0.000028396476,0.00022102671,0.0000119758515],"genre_scores_gemma":[0.9755523,0.00009181049,0.024120824,0.00012058832,0.0000052563196,0.00005763796,0.000013781594,0.00002309399,0.00001470318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993705,0.000022121498,0.00021361803,0.00017307427,0.0000949604,0.0001257084],"domain_scores_gemma":[0.99958754,0.00013524952,0.00004252565,0.00012656848,0.00006778721,0.000040357347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000038537004,0.0001441179,0.0002133693,0.00030244442,0.000059140082,0.000025398745,0.000066153196,0.000051870313,0.0000016146231],"category_scores_gemma":[0.0000015484871,0.00013116557,0.000066748304,0.00058799784,0.00007325576,0.00013734929,0.000001179422,0.00009015356,1.2856617e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014813349,0.00011225132,0.000019432682,0.00043661037,0.0004333232,6.0592413e-7,0.00053971534,0.95768327,0.0005509427,0.02174649,0.00004958277,0.018279655],"study_design_scores_gemma":[0.00036117123,0.00020300157,0.00003494973,0.00011579769,0.00010966912,6.5777726e-7,0.000035384204,0.9690807,0.02916495,0.0006334792,0.00012224165,0.00013802349],"about_ca_topic_score_codex":0.0000033496956,"about_ca_topic_score_gemma":0.0000048031093,"teacher_disagreement_score":0.95561653,"about_ca_system_score_codex":0.000019152756,"about_ca_system_score_gemma":0.000008973119,"threshold_uncertainty_score":0.53487766},"labels":[],"label_agreement":null},{"id":"W4415402683","doi":"10.36227/techrxiv.176105775.53383012/v1","title":"Neural FIM: Bridging Statistical Manifolds and Generative Modeling through Fisher Geometry","year":2025,"lang":"","type":"preprint","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Bridging (networking); Generative grammar; Information geometry; Statistical manifold; Differential geometry; Generative model; Manifold (fluid mechanics); Statistical model","score_opus":0.022223428045094765,"score_gpt":0.29288603701930044,"score_spread":0.2706626089742057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415402683","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00901138,0.0017821041,0.9777534,0.00072184403,0.00037903668,0.00060271146,0.00028379104,0.00097387255,0.00849188],"genre_scores_gemma":[0.47758022,0.0028090002,0.51627487,0.0005906036,0.0003190391,0.000110905145,0.00018895543,0.00010657113,0.0020198447],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9952538,0.00015434179,0.0012683291,0.0017663719,0.00055349746,0.0010036447],"domain_scores_gemma":[0.9980441,0.00038033628,0.00016471843,0.0009064054,0.00023157756,0.00027290251],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024574128,0.0012284649,0.0016791319,0.00038693182,0.00029149538,0.00035298197,0.0005378609,0.00069891236,0.000777688],"category_scores_gemma":[0.00019900729,0.0012576584,0.00032346018,0.00072594034,0.00017760464,0.0005190376,0.0018224553,0.0020676865,0.000017227123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024536617,0.000059790847,0.00014322292,0.0005899964,0.0006500413,0.00005586942,0.00023110898,0.9493206,0.0003699508,0.009257643,0.0013519276,0.037945308],"study_design_scores_gemma":[0.00023141128,0.00005040314,0.000054788397,0.0002529621,0.0004433248,0.000013473943,0.00011182558,0.9743523,0.0014847874,0.021195099,0.00061212096,0.0011974863],"about_ca_topic_score_codex":0.0008245618,"about_ca_topic_score_gemma":0.000044984365,"teacher_disagreement_score":0.46856886,"about_ca_system_score_codex":0.0004052509,"about_ca_system_score_gemma":0.00006336791,"threshold_uncertainty_score":0.9989873},"labels":[],"label_agreement":null},{"id":"W4415556189","doi":"10.61091/jcmcc128-12","title":"Orientations of single-element extensions of graphic matroids","year":2025,"lang":"","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Matroid; Dual graph; Graph; Extension (predicate logic); Dual (grammatical number)","score_opus":0.01094083733219656,"score_gpt":0.26904840621885195,"score_spread":0.25810756888665537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415556189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67593896,0.003604318,0.29888132,0.00023705408,0.018777933,0.0007171274,0.000019094929,0.00008081374,0.0017433956],"genre_scores_gemma":[0.96297127,0.00043124447,0.03618194,0.000008577535,0.00034783763,0.0000024220924,0.0000016381114,0.000048716913,0.000006363796],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9942447,0.00016010465,0.0039340626,0.00028105752,0.0009389572,0.00044114792],"domain_scores_gemma":[0.9929637,0.0015730796,0.002840457,0.00055515574,0.0018618905,0.0002057352],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013970584,0.00051027205,0.0021418363,0.0009992509,0.00021628666,0.00008046887,0.00074221473,0.00028564993,0.000016299315],"category_scores_gemma":[0.0015129822,0.0005022267,0.000655424,0.0018422984,0.00031998553,0.00024592935,0.0005404105,0.00070826296,4.3183167e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014506772,0.0026642971,0.00043226,0.0021679997,0.0012685148,0.000013119691,0.0011269565,0.0015692527,0.036042716,0.9503833,0.00032458993,0.0038619263],"study_design_scores_gemma":[0.003999382,0.0020774584,0.00015625604,0.0047513167,0.0016215802,0.00002777554,0.0015575414,0.020494802,0.05035377,0.91403985,0.00040013256,0.0005201456],"about_ca_topic_score_codex":0.000011984461,"about_ca_topic_score_gemma":3.6520015e-7,"teacher_disagreement_score":0.2870323,"about_ca_system_score_codex":0.00018328107,"about_ca_system_score_gemma":0.00019417169,"threshold_uncertainty_score":0.9997429},"labels":[],"label_agreement":null},{"id":"W4415592114","doi":"10.1016/j.compfluid.2025.106884","title":"Calibration of Manning’s roughness coefficients for shallow-water flows on complex bathymetries using optimization algorithms and surrogate neural network models","year":2025,"lang":"en","type":"article","venue":"Computers & Fluids","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada","keywords":"Solver; Artificial neural network; Particle swarm optimization; Calibration; Convergence (economics); Metaheuristic; Inverse problem; Flow (mathematics)","score_opus":0.026145535161044498,"score_gpt":0.26656760401815993,"score_spread":0.24042206885711542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415592114","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06966057,0.00014250919,0.92941844,0.000026204229,0.0002311756,0.00025555314,0.000008823142,0.00023266734,0.00002403165],"genre_scores_gemma":[0.6932791,0.000014966576,0.30644664,0.000074500575,0.000047685488,0.000013770168,0.000090840374,0.000023940882,0.000008585925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99908733,0.000027127915,0.0003129319,0.00022629167,0.00011445486,0.00023187998],"domain_scores_gemma":[0.9996099,0.00007878504,0.000030327785,0.00015819246,0.00008531613,0.000037501643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009096695,0.00017663019,0.00030696255,0.00016889113,0.00010155065,0.000050687344,0.00012650818,0.000067301626,0.0000018038007],"category_scores_gemma":[0.000006664096,0.00016025177,0.00006811486,0.0003719915,0.000045440094,0.00023461574,0.000074782816,0.00006641549,9.606333e-8],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022583392,0.000019789984,0.00007431781,0.000058802314,0.00004464104,6.058891e-7,0.00006888484,0.9927589,0.0016077264,0.00027687894,0.00012584504,0.004940995],"study_design_scores_gemma":[0.0002913893,0.000071200404,0.00002534521,0.00007597087,0.000038918468,6.056909e-7,0.00000900335,0.99463725,0.003917717,0.0007142372,0.00006964919,0.00014870842],"about_ca_topic_score_codex":0.0000063180987,"about_ca_topic_score_gemma":6.7670004e-7,"teacher_disagreement_score":0.6236185,"about_ca_system_score_codex":0.000054377146,"about_ca_system_score_gemma":0.0000046544797,"threshold_uncertainty_score":0.6534878},"labels":[],"label_agreement":null},{"id":"W4415597937","doi":"10.1115/detc2025-166243","title":"Optimizing Valved Holding Chambers for Enhanced Inhalation Therapy: Integrating Dakota and Ansys CFX in the Bezier-Curved Geometry Design Process","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Optimal design; Process (computing); Engineering design process; Design process; Process design; Aerosol; Design tool; Breakup","score_opus":0.02359725051537694,"score_gpt":0.3098167964603303,"score_spread":0.28621954594495336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415597937","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13237417,0.0016874485,0.86226076,0.00028430801,0.00008406947,0.00194498,0.0000033772017,0.00030129362,0.0010596327],"genre_scores_gemma":[0.79147375,0.00082795694,0.20678858,0.00021894697,0.000037431655,0.00052426703,0.000012474079,0.000054584263,0.000062007224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970017,0.00024618517,0.0010182611,0.0007555608,0.00029424674,0.0006840478],"domain_scores_gemma":[0.99745834,0.0015888871,0.0002391613,0.00044548846,0.00019637399,0.00007175459],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017359323,0.0005886807,0.00077161356,0.0005888238,0.00042355858,0.00035802077,0.0004454524,0.00029121328,0.000031307496],"category_scores_gemma":[0.0006775037,0.00045870544,0.00020459847,0.002928705,0.00013647537,0.0007297182,0.000073552525,0.00063666224,8.378319e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037709548,0.00029047037,0.00096726546,0.0010150308,0.00074791996,0.000004802046,0.020629881,0.4578557,0.17673284,0.0018199143,0.00007634036,0.33948275],"study_design_scores_gemma":[0.0010551674,0.00017956102,0.00032518333,0.0006261019,0.000110195106,0.0000015180865,0.0055563534,0.78353196,0.20198998,0.0059522917,0.00008330439,0.000588383],"about_ca_topic_score_codex":0.000062022395,"about_ca_topic_score_gemma":0.00003417085,"teacher_disagreement_score":0.6590996,"about_ca_system_score_codex":0.00022866589,"about_ca_system_score_gemma":0.0000705321,"threshold_uncertainty_score":0.9997865},"labels":[],"label_agreement":null},{"id":"W46787997","doi":"10.1007/978-94-015-9966-5_19","title":"A Set of New Tools for the Automatic Meshing and Remeshing of Mechanical Parts","year":2002,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Discretization; A priori and a posteriori; Computer science; Set (abstract data type); Process (computing); Algorithm; Scheme (mathematics); Engineering drawing; Mesh generation; Finite element method; Mathematical optimization; Engineering; Mathematics; Structural engineering","score_opus":0.04901696875031224,"score_gpt":0.2635569366166436,"score_spread":0.21453996786633134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W46787997","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00006295452,0.0016066021,0.94954807,0.00017042809,0.000047133275,0.0006756367,0.000029952758,0.0005019277,0.047357284],"genre_scores_gemma":[0.27088088,0.005160273,0.560655,0.00024901098,0.0004960306,0.00012853868,0.000056293837,0.00052724016,0.1618467],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990261,0.000004461842,0.0004949742,0.00016170673,0.00017874023,0.0001339856],"domain_scores_gemma":[0.9988166,0.0006330202,0.00014849889,0.0003135775,0.00003685114,0.00005146077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014068375,0.00021480284,0.0005567285,0.00006876219,0.00002228381,0.000019391595,0.00018221488,0.00016754128,0.00022985152],"category_scores_gemma":[0.00009166203,0.0001494956,0.00018825024,0.000031599957,0.00003629389,0.00012130045,0.000061540595,0.00018107488,0.0000012494636],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012116829,0.000008845822,0.0000014660858,0.0012445174,0.001206937,0.0000038111764,0.000687846,0.0029948107,0.0018284264,0.32460156,0.011875907,0.6555338],"study_design_scores_gemma":[0.0004212032,0.00020144913,0.0000049438568,0.0012672397,0.001063426,0.0000140587335,0.000096988355,0.6075802,0.015414695,0.25430444,0.11877576,0.0008556231],"about_ca_topic_score_codex":0.000011247517,"about_ca_topic_score_gemma":0.000012481943,"teacher_disagreement_score":0.65467817,"about_ca_system_score_codex":0.000026220738,"about_ca_system_score_gemma":0.0000064764604,"threshold_uncertainty_score":0.60962534},"labels":[],"label_agreement":null},{"id":"W55845620","doi":"","title":"The problem of outer-embeddings in pseodosurfaces.","year":2004,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics","score_opus":0.005093859680975301,"score_gpt":0.22716158544862936,"score_spread":0.22206772576765405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W55845620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935737,0.00047442951,0.0016959886,0.00019353036,0.00015264396,0.0001914666,0.0000012641134,0.00034967175,0.003367299],"genre_scores_gemma":[0.99330854,0.00012948405,0.0064842342,0.000010028322,0.0000014944496,0.000021261563,8.655764e-7,0.00001919222,0.000024909235],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9993071,0.0000106463085,0.00025689113,0.00010349024,0.00013083132,0.00019102241],"domain_scores_gemma":[0.9996496,0.000052831987,0.000040880528,0.00019642935,0.000028812932,0.00003148474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013085367,0.000101550664,0.00017176311,0.00004829982,0.000030062127,0.000011633383,0.00021940345,0.00004671914,0.0000031621648],"category_scores_gemma":[0.000014080857,0.000078592246,0.000049245653,0.00039130126,0.000052585412,0.00009959676,0.000036954858,0.0001470166,0.0000092417895],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019558422,0.00021035048,0.0058311676,0.00011145267,0.00011769332,0.000024107854,0.00092098996,0.08031761,0.02247055,0.86874163,0.00079343707,0.020441484],"study_design_scores_gemma":[0.0004332454,0.000045816963,0.0008258383,0.000048442904,0.0000079372985,0.000001442846,0.000038668382,0.0009384789,0.05855355,0.9359277,0.0030245367,0.00015434764],"about_ca_topic_score_codex":0.000042120584,"about_ca_topic_score_gemma":0.000016521872,"teacher_disagreement_score":0.07937913,"about_ca_system_score_codex":0.00009904706,"about_ca_system_score_gemma":0.000007860095,"threshold_uncertainty_score":0.32048985},"labels":[],"label_agreement":null},{"id":"W581125832","doi":"","title":"Comparison of the Approximation Order Two Different Spline Spaces by Numerical Integration","year":2014,"lang":"en","type":"article","venue":"Journal of academic and applied studies","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Numerical integration; Spline (mechanical); Applied mathematics; Mathematics; Order (exchange); Computer science; Mathematical analysis; Physics","score_opus":0.019367889876471117,"score_gpt":0.326390776813676,"score_spread":0.3070228869372049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W581125832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5193917,0.0026356138,0.477248,0.00042708154,0.000048495087,0.000069395,8.300274e-7,0.000025265135,0.0001536004],"genre_scores_gemma":[0.99498737,0.0009979376,0.003887642,0.000032296903,0.00007547339,0.0000042494044,6.063245e-7,0.00000744928,0.0000069877738],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99923533,0.0000195735,0.00043064792,0.000059282647,0.00017518159,0.000079998164],"domain_scores_gemma":[0.9994917,0.0001069751,0.00027144133,0.00005309712,0.00005080979,0.00002596336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000120519355,0.00010649643,0.00040746294,0.000037528433,0.000044281875,0.000004840929,0.00009850495,0.00004817638,9.785721e-7],"category_scores_gemma":[0.00006804954,0.000056940862,0.00004401195,0.0001395749,0.00007751662,0.000053834032,0.000037647736,0.0003934089,1.8024839e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011021605,0.00016283865,0.019300962,0.000260274,0.0007665565,1.1822607e-7,0.0047435355,0.03236084,0.7091093,0.008776082,0.011799522,0.21260974],"study_design_scores_gemma":[0.0011646171,0.00024523443,0.0049454556,0.0003160429,0.00045729525,0.000008444135,0.005551099,0.14234844,0.8217747,0.018660374,0.0040898826,0.00043840552],"about_ca_topic_score_codex":3.914013e-7,"about_ca_topic_score_gemma":2.850143e-7,"teacher_disagreement_score":0.47559565,"about_ca_system_score_codex":0.000022127339,"about_ca_system_score_gemma":0.0000016812338,"threshold_uncertainty_score":0.23219809},"labels":[],"label_agreement":null},{"id":"W60409482","doi":"","title":"Face-based Hermite Subdivision Schemes","year":2003,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Subdivision; Hermite polynomials; Vertex (graph theory); Mathematics; Symmetry (geometry); Subdivision surface; Algebraic number; Euclidean space; Pure mathematics; Combinatorics; Mathematical analysis; Geometry; Graph; Geography","score_opus":0.0067291419713357585,"score_gpt":0.2208357358453958,"score_spread":0.21410659387406003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W60409482","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021301867,0.00008967884,0.95044154,0.000019322952,0.000021507669,0.000072031115,5.1797645e-7,0.001247616,0.02680594],"genre_scores_gemma":[0.9379842,0.000009045882,0.06144851,0.00008925859,0.000005707252,0.000012961817,0.0000022141762,0.000018660083,0.00042943997],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995429,0.000010208718,0.00010841914,0.00010266765,0.0000931336,0.00014267197],"domain_scores_gemma":[0.99973345,0.000024305009,0.000008846896,0.00016922627,0.000015261538,0.00004889113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004161144,0.00009409173,0.00010829057,0.000052307278,0.000020642528,0.000010597522,0.000063668536,0.00003806099,0.00034591206],"category_scores_gemma":[0.00002615895,0.000079175625,0.00005380664,0.00022621326,0.000013903575,0.000072308256,0.0000052898554,0.00007145618,0.00008896153],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002091093,0.00039284248,0.016076999,0.00031629545,0.0002837199,0.000054387485,0.00010520493,0.33097687,0.2919713,0.08771094,0.023081664,0.24900888],"study_design_scores_gemma":[0.00011929434,0.00001667946,0.00015843971,0.0000061566407,0.000007997814,6.814827e-7,0.000010074538,0.10751208,0.7307599,0.0010581833,0.16013427,0.00021622889],"about_ca_topic_score_codex":0.0000013437271,"about_ca_topic_score_gemma":0.0000011286907,"teacher_disagreement_score":0.91668236,"about_ca_system_score_codex":0.000029079825,"about_ca_system_score_gemma":0.0000031391903,"threshold_uncertainty_score":0.37874943},"labels":[],"label_agreement":null},{"id":"W651162734","doi":"10.71781/10016","title":"Reconstruction tridimensionnelle pour projection sur surfaces arbitraires","year":2013,"lang":"fr","type":"dissertation","venue":"Library and Archives Canada (Government of Canada)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Art","score_opus":0.003035819183761668,"score_gpt":0.14675209905229375,"score_spread":0.14371627986853208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W651162734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9039324,0.002556304,0.0015002658,0.0019756467,0.0011845357,0.0006814437,0.00019838827,0.00012112417,0.08784991],"genre_scores_gemma":[0.9371361,0.002190997,0.024479032,0.00014405558,0.00013696047,0.00005100136,0.00009733441,0.000095401236,0.035669126],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971776,0.000089831825,0.000646392,0.0004310534,0.0012540419,0.00040110544],"domain_scores_gemma":[0.99882025,0.00032335892,0.0003767433,0.00022092994,0.0000028330471,0.000255896],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00001103069,0.00046137188,0.00060304627,0.00006988837,0.00022980702,0.00003407025,0.00018963427,0.00012384425,0.00018294743],"category_scores_gemma":[0.000010156258,0.00047761676,0.00008567518,0.00019974327,0.00007543257,0.0007603849,0.000052559808,0.000388119,1.9832987e-8],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005933005,0.00011258664,0.012112549,0.0026192402,0.00086935924,0.00006959123,0.00039769473,0.013010295,0.7192456,0.025060605,0.0031374504,0.2227717],"study_design_scores_gemma":[0.00029703567,0.00008944338,0.019461757,0.0007140769,0.00014232252,0.000019570956,0.006029424,0.09590669,0.8684699,0.00364019,0.004510534,0.0007190501],"about_ca_topic_score_codex":0.036802363,"about_ca_topic_score_gemma":0.08438343,"teacher_disagreement_score":0.22205265,"about_ca_system_score_codex":0.000036949827,"about_ca_system_score_gemma":0.0012758397,"threshold_uncertainty_score":0.99976754},"labels":[],"label_agreement":null},{"id":"W6888569004","doi":"10.20380/gi2016.04","title":"A Subdivision Framework for Partition of Unity Parametrics","year":2016,"lang":"en","type":"article","venue":"Canada Human-Computer Communications Society","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Subdivision; Generalization; Partition (number theory); Parametric statistics; Basis (linear algebra); Subdivision surface; Class (philosophy); Partition of unity","score_opus":0.03327143008667316,"score_gpt":0.28882052851934176,"score_spread":0.2555490984326686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6888569004","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010196582,0.0003012661,0.98860276,0.00036768278,0.000043834058,0.00017476005,0.000043799177,0.00019825289,0.000071064096],"genre_scores_gemma":[0.6641076,0.00023561495,0.33543056,0.000095122756,0.000025275414,0.00005144121,0.00002835528,0.000016317155,0.000009673699],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992226,0.00003428589,0.00030366553,0.00012229536,0.00014388534,0.0001733163],"domain_scores_gemma":[0.9978494,0.000716142,0.00008866406,0.0011148409,0.00016681729,0.0000641206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012252596,0.000115886054,0.00020263114,0.000037176782,0.00018804852,0.000010656096,0.00062578096,0.00008254329,0.000010372207],"category_scores_gemma":[0.000047212212,0.00009845867,0.0001458239,0.00039865263,0.000118382675,0.00009510555,0.00013444368,0.0001414003,6.1473486e-7],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007759279,0.00037030544,0.0032073022,0.00035978243,0.00074076327,5.514662e-7,0.0010181728,0.0033216937,0.010273184,0.6164578,0.12588172,0.23836093],"study_design_scores_gemma":[0.00093229755,0.00017620955,0.0059802434,0.00054006657,0.00020702346,0.0000023902583,0.00022263164,0.35612777,0.035770405,0.28386748,0.31486225,0.0013112307],"about_ca_topic_score_codex":0.0035138985,"about_ca_topic_score_gemma":0.007943981,"teacher_disagreement_score":0.65391105,"about_ca_system_score_codex":0.00032345232,"about_ca_system_score_gemma":0.000052395884,"threshold_uncertainty_score":0.5311987},"labels":[],"label_agreement":null},{"id":"W6930451251","doi":"10.5281/zenodo.11699660","title":"Porsche boxster 987 katalog pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Checklist; Brochure; Service (business); Falcon","score_opus":0.015688505435306845,"score_gpt":0.23221518626155035,"score_spread":0.21652668082624352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6930451251","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000042373144,0.00088382495,0.023605485,0.00009964124,0.00012996617,0.00026030344,0.00023826177,0.007941444,0.9668368],"genre_scores_gemma":[0.0026576472,0.0007326851,0.002546632,0.000120578574,0.0005894255,1.4488602e-7,0.0033352654,0.0267312,0.9632864],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99859947,0.00007505113,0.0002373438,0.00043633598,0.00030134682,0.0003504783],"domain_scores_gemma":[0.99913645,0.0000070725996,0.00005682158,0.0005674732,0.00008581097,0.00014636431],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00016719082,0.00027205906,0.00027142992,0.0004856298,0.00020597229,0.00039598087,0.0008197733,0.00018779321,0.1220408],"category_scores_gemma":[0.0000966799,0.00027572052,0.00010484558,0.0006121963,0.00010669916,0.00009456359,0.0006809397,0.00052139006,0.19903623],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000025998481,0.000017426592,5.653025e-8,0.00020327796,0.00011814098,0.000026294249,0.000054823602,0.000031371022,0.0004679961,0.00046569563,0.9740931,0.024519255],"study_design_scores_gemma":[0.00007366836,0.000041170526,0.0000015254216,0.000120649915,0.000042412277,0.00003355222,0.000020854071,0.0003811921,0.00023000597,0.00039983238,0.9983597,0.00029547352],"about_ca_topic_score_codex":0.000008512414,"about_ca_topic_score_gemma":4.4097695e-7,"teacher_disagreement_score":0.076995425,"about_ca_system_score_codex":0.0001413504,"about_ca_system_score_gemma":9.405705e-7,"threshold_uncertainty_score":0.9999695},"labels":[],"label_agreement":null},{"id":"W6949438478","doi":"10.5281/zenodo.15081355","title":"Convex Surface Milling Mechanism","year":2025,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"TransAlta (Canada)","funders":"","keywords":"Machining; Mechanism (biology); Process (computing); Surface (topology); Reciprocating motion; Connecting rod; Drilling; Undercut; Slider","score_opus":0.015216179887890296,"score_gpt":0.23479314451181274,"score_spread":0.21957696462392245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6949438478","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013199672,0.0002441784,0.82282835,0.00035577774,0.00010711094,0.00029015122,0.000045332195,0.0056543276,0.15727507],"genre_scores_gemma":[0.99237317,0.00023143497,0.0051160073,0.00012867192,0.0000345922,2.6059892e-8,0.00023508366,0.00089206354,0.0009889232],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990956,0.00007166234,0.00018861052,0.00022740681,0.00016293209,0.00025374672],"domain_scores_gemma":[0.9993775,0.000019243478,0.000025467505,0.00030574773,0.00019513644,0.00007694212],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00022412551,0.000116636125,0.00014746288,0.0001498543,0.0006686875,0.00020432883,0.00054359564,0.000053807762,0.0025830986],"category_scores_gemma":[0.00014542852,0.0001279295,0.00004759382,0.00069077004,0.000056424367,0.00013859317,0.00036539804,0.00021395489,0.0017582725],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044941775,0.00015441552,0.0000052815776,0.00034450312,0.00035996197,0.00002869689,0.00074390427,0.02509401,0.35785595,0.105621055,0.26320302,0.24654423],"study_design_scores_gemma":[0.00015621714,0.000042026175,0.000017783808,0.00003129792,0.000016716998,0.000007314316,0.00008697198,0.023140362,0.035003126,0.0044588065,0.93687207,0.00016730078],"about_ca_topic_score_codex":0.0000037017624,"about_ca_topic_score_gemma":6.909515e-8,"teacher_disagreement_score":0.97917354,"about_ca_system_score_codex":0.00013009887,"about_ca_system_score_gemma":8.942189e-7,"threshold_uncertainty_score":0.99901897},"labels":[],"label_agreement":null},{"id":"W6957854379","doi":"10.60692/7bfmd-z6m28","title":"Bis{N′-[3-(4-nitrophenyl)-1-phenylprop-2-en-1-ylidene]-N-phenylcarbamimidothioato}zinc(II): crystal structure, Hirshfeld surface analysis and computational study","year":2021,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Dihedral angle; Ring (chemistry); Hydrogen bond; Crystal (programming language); Nitrobenzene; Supramolecular chemistry; Crystal structure; Planar","score_opus":0.010353073288279308,"score_gpt":0.2079840310006102,"score_spread":0.19763095771233088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6957854379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.72727674,0.000022526003,0.27094612,0.000016198586,0.00009063578,0.000302508,0.00020581255,0.000807822,0.00033166655],"genre_scores_gemma":[0.98444575,7.8958067e-7,0.015149753,0.00006272136,0.000054192158,0.00003278479,0.00016577507,0.000036143116,0.00005210409],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99738705,0.00017014045,0.0010487558,0.00036354715,0.00065012573,0.00038036628],"domain_scores_gemma":[0.9986322,0.00003893468,0.00023856689,0.00053128594,0.00037706213,0.0001819693],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025166408,0.0004346691,0.0007490657,0.0005459638,0.00026777925,0.00027398556,0.00022435722,0.00017709087,0.000073461444],"category_scores_gemma":[0.00003338784,0.00040413532,0.0002004652,0.0019508515,0.000051958436,0.00093979464,0.00019564187,0.0003018312,0.000017796068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005585529,0.000027937951,0.24888095,0.0006231454,0.0035824764,0.000059110578,0.037779264,0.7074017,0.0005384677,0.00020689832,0.00009505103,0.00074916147],"study_design_scores_gemma":[0.0033329187,0.0002939418,0.23630653,0.00017838526,0.0030488085,0.00023317308,0.05826538,0.6899909,0.0048322454,0.00011637876,0.0009504286,0.002450937],"about_ca_topic_score_codex":0.000015551452,"about_ca_topic_score_gemma":0.000005014375,"teacher_disagreement_score":0.257169,"about_ca_system_score_codex":0.0002674559,"about_ca_system_score_gemma":0.000038814767,"threshold_uncertainty_score":0.99984103},"labels":[],"label_agreement":null},{"id":"W6958106195","doi":"10.60692/8zdtm-v9s42","title":"Boosted objects and jet substructure at the LHC. Report of BOOST2012, held at IFIC Valencia, 23rd–27th of July 2012","year":2014,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Substructure; Large Hadron Collider; Jet (fluid); Monte Carlo method; Focus (optics); Quantum chromodynamics","score_opus":0.009733808614971945,"score_gpt":0.18701763043070685,"score_spread":0.1772838218157349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6958106195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9662529,0.000059674006,0.029025158,0.000010477659,0.00013046541,0.00032335796,0.00007167011,0.0002996391,0.0038266268],"genre_scores_gemma":[0.9989923,0.0000014464537,0.000571781,0.000020222133,0.000027071324,0.000023970939,0.000029709816,0.000015459775,0.00031802765],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985431,0.00004116643,0.0008159931,0.000115075396,0.0002988524,0.00018581453],"domain_scores_gemma":[0.9987803,0.000023470302,0.00046625783,0.0005224527,0.00014354612,0.000063989966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030055232,0.00019359511,0.00038653318,0.00014630612,0.000075385695,0.000018580817,0.00013904285,0.00012167428,0.00001986339],"category_scores_gemma":[0.000032946213,0.00012757811,0.00009025312,0.0002254386,0.00006429283,0.00041110537,0.00008678045,0.00009323226,0.00004786096],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004729012,0.000015332134,0.7392823,0.015804447,0.0014194101,0.000033529162,0.18578213,0.025077967,0.008720314,0.0004690353,0.013715052,0.009207581],"study_design_scores_gemma":[0.0023155396,0.00028515144,0.30906555,0.0010670745,0.0005991539,0.001374868,0.005900483,0.03727053,0.62207824,0.000060005284,0.018319413,0.0016640078],"about_ca_topic_score_codex":0.000006619374,"about_ca_topic_score_gemma":0.0000022120773,"teacher_disagreement_score":0.6133579,"about_ca_system_score_codex":0.00010089526,"about_ca_system_score_gemma":0.000005353284,"threshold_uncertainty_score":0.5202485},"labels":[],"label_agreement":null},{"id":"W6977707338","doi":"10.6084/m9.figshare.26667169","title":"Additional file 2 of Phytoplankton ecology in the early years of a boreal oil sands end pit lake","year":2024,"lang":"en","type":"dataset","venue":"Figshare","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Calgary","funders":"","keywords":"Oil sands; Boreal; Phytoplankton; Hydrology (agriculture); Taiga; Dominance (genetics)","score_opus":0.008753436982565855,"score_gpt":0.2270603224880548,"score_spread":0.21830688550548893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977707338","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000012083831,0.000065745706,6.624408e-8,0.000002958265,0.000012713059,0.00004480854,0.99901974,0.000048299127,0.00080442935],"genre_scores_gemma":[0.000028071474,0.000015882328,0.00014871902,0.000022341377,0.00007208357,0.0007853542,0.99886185,0.000017471317,0.00004824867],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99924487,0.0000209174,0.0002519538,0.00015287542,0.00018774801,0.00014164003],"domain_scores_gemma":[0.9986876,0.00091000984,0.00008633129,0.00026714455,0.000028611243,0.000020275276],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000017021111,0.00014512605,0.00031097868,0.00016638095,0.0000065484464,0.000008056303,0.0003471577,0.00020152061,0.9574865],"category_scores_gemma":[0.0004856695,0.00012627592,0.00011741121,0.00032183193,0.000015237291,0.000035810375,0.000071542025,0.0004061709,0.001308852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018455914,0.000016407042,1.3585358e-7,0.0003973497,0.000035698344,0.000038612372,0.000009360548,0.000039024515,4.0234536e-7,1.9662765e-7,0.9979835,0.0014774302],"study_design_scores_gemma":[0.000027991155,0.00003668161,0.0006442817,0.0013899659,0.000016785578,0.000003876684,0.0000029667713,0.0000489782,0.000010209798,0.000042636475,0.99766386,0.000111749185],"about_ca_topic_score_codex":0.00001065407,"about_ca_topic_score_gemma":0.0005357333,"teacher_disagreement_score":0.95617765,"about_ca_system_score_codex":0.000025493873,"about_ca_system_score_gemma":0.000031886175,"threshold_uncertainty_score":0.99946874},"labels":[],"label_agreement":null},{"id":"W6980012665","doi":"","title":"Application of traveling salesman problem in generating a collision-free tool path in drilling","year":2021,"lang":"en","type":"dissertation","venue":"e-scholar@UOIT (University of Ontario Institute of Technology)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Ontario Institute of Technology","keywords":"Travelling salesman problem; Path (computing); Tool path; Set (abstract data type); Collision; Software; Motion planning","score_opus":0.005367771875691426,"score_gpt":0.19730305096102213,"score_spread":0.1919352790853307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6980012665","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98416156,0.00044316528,0.013983301,0.000014912434,0.00007320574,0.000456129,0.000024723076,0.00015627139,0.0006867613],"genre_scores_gemma":[0.1694314,0.00026693594,0.82964236,0.0000021909655,0.00000758114,0.000009192282,0.00041486672,0.00003282256,0.00019266039],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99828845,0.0000066808843,0.0006964701,0.00046324727,0.00028941108,0.00025571164],"domain_scores_gemma":[0.9986172,0.0000042004435,0.00047066787,0.000641119,0.0002328741,0.000033971282],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027623217,0.00030451737,0.00094291527,0.001031488,0.000095394746,0.0000086841055,0.0008146014,0.00078236405,0.000017470069],"category_scores_gemma":[0.00009625945,0.00042258235,0.00018201236,0.001708214,0.00008017834,0.0005209613,0.00014269992,0.0014117425,0.0000012916258],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018567628,0.0005915982,0.0052154767,0.0023570876,0.0004806914,0.00021826757,0.006984683,0.20778765,0.33340338,0.0027680986,0.000055906974,0.43995148],"study_design_scores_gemma":[0.010681622,0.0008825817,0.049858816,0.017896414,0.0015134602,0.000044097116,0.021789534,0.16591008,0.3916929,0.01921089,0.31427053,0.006249084],"about_ca_topic_score_codex":0.007739209,"about_ca_topic_score_gemma":0.13667442,"teacher_disagreement_score":0.81565905,"about_ca_system_score_codex":0.0008531342,"about_ca_system_score_gemma":0.0002910891,"threshold_uncertainty_score":0.9998226},"labels":[],"label_agreement":null},{"id":"W7028466480","doi":"","title":"Five-axis Flank Milling and Modeling the Spiral Bevel Gear with a Ruled Tooth Surface Design","year":2015,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"China Scholarship Council; Concordia University","keywords":"Spiral bevel gear; Flank; Bevel gear; Bevel; Spiral (railway); Tooth surface; Ruled surface; Hobbing","score_opus":0.03520177941048551,"score_gpt":0.27727525071813847,"score_spread":0.24207347130765294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7028466480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9577159,0.0008584327,0.027728304,0.00008259252,0.00012451876,0.000730405,0.000008860701,0.00048273854,0.012268191],"genre_scores_gemma":[0.9853366,0.0005590557,0.0024362768,0.000003196276,0.00014127385,0.000006847898,0.000048214846,0.000110131936,0.011358414],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972652,0.00034240246,0.00024028518,0.00062363944,0.00080893794,0.00071949774],"domain_scores_gemma":[0.9984345,0.00024378924,0.000090063586,0.0005740081,0.00036543625,0.00029223],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00056188053,0.000413634,0.00052917923,0.00054027594,0.00057864387,0.00015885086,0.0006631482,0.00029313995,0.0000070182527],"category_scores_gemma":[0.000052159085,0.00034461144,0.000121588244,0.0011437518,0.00020176418,0.00033711616,0.00010913437,0.0014258473,0.0000094778425],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0032428114,0.00015025293,0.003461338,0.00090770714,0.0023347607,0.0028441981,0.004787234,0.9252282,0.048676662,0.00085590035,0.003037348,0.004473591],"study_design_scores_gemma":[0.00155769,0.0014187377,0.001343635,0.00070127286,0.0005766714,0.00007072329,0.010478655,0.9294186,0.040938817,0.0032124529,0.008132466,0.0021502664],"about_ca_topic_score_codex":0.0040647117,"about_ca_topic_score_gemma":0.002744942,"teacher_disagreement_score":0.027620632,"about_ca_system_score_codex":0.0007044731,"about_ca_system_score_gemma":0.00033952124,"threshold_uncertainty_score":0.9999006},"labels":[],"label_agreement":null},{"id":"W7034568619","doi":"","title":"Triangular B&amp;#233;zier Surfaces with Approximate Continuity","year":2008,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Waterloo","keywords":"Discontinuity (linguistics); Triangle mesh; Surface (topology); Parametric statistics; Interpolation (computer graphics); Smoothness; Parametric surface; Point (geometry)","score_opus":0.0074997467353135885,"score_gpt":0.19454069575251362,"score_spread":0.18704094901720003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7034568619","genre_codex":"empirical","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950729,0.00036837408,0.0021065501,0.000037085443,0.00007218374,0.0003001433,0.00004286403,0.0006207132,0.0013791809],"genre_scores_gemma":[0.27829924,0.0022979376,0.07155333,0.000010001293,0.00005703986,0.0000034056193,0.0016801539,0.0001985819,0.6459003],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.9988059,0.000034591194,0.00015908542,0.00035080579,0.00032833812,0.00032127864],"domain_scores_gemma":[0.99912435,0.000026328722,0.00018033986,0.00040621212,0.00015623971,0.000106533975],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006813139,0.000361659,0.00075213466,0.0002610914,0.0001250082,0.000013060973,0.00036473718,0.0003043035,0.00014564172],"category_scores_gemma":[0.000007448893,0.00037075137,0.00020819745,0.00037448207,0.0001209894,0.00024436283,0.000030045647,0.00034115693,0.000038004888],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0051334593,0.0013117437,0.0076351794,0.011532376,0.010247597,0.001504049,0.5837829,0.05423243,0.22674647,0.0007833208,0.041432563,0.055657882],"study_design_scores_gemma":[0.016332978,0.0021705842,0.037289564,0.005399758,0.008260872,0.0001375572,0.4144426,0.031115511,0.30580103,0.0031302192,0.15846539,0.017453942],"about_ca_topic_score_codex":0.00436769,"about_ca_topic_score_gemma":0.022227116,"teacher_disagreement_score":0.7167737,"about_ca_system_score_codex":0.00009934507,"about_ca_system_score_gemma":0.000024874977,"threshold_uncertainty_score":0.9998745},"labels":[],"label_agreement":null},{"id":"W70426101","doi":"10.1007/978-1-4471-5073-2_8","title":"Computation of Offset Curves Using a Distance Function: Addressing a Key Challenge in Cutting Tool Path Generation","year":2013,"lang":"en","type":"book-chapter","venue":"Springer series in advanced manufacturing","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Offset (computer science); Computation; Key (lock); Path (computing); Computer science; Function (biology); Algorithm; Computer network; Biology; Computer security; Operating system","score_opus":0.026241743528110248,"score_gpt":0.24809980232641413,"score_spread":0.2218580587983039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W70426101","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09876941,0.036646254,0.8121133,0.00010433549,0.001450033,0.0029509445,0.00007656024,0.0017362642,0.046152912],"genre_scores_gemma":[0.91105545,0.005975249,0.08081605,0.000037916427,0.00023946399,0.00012678577,0.00011042485,0.00026267272,0.0013759976],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975071,0.000026807753,0.0011097922,0.0005831374,0.0003604009,0.00041275064],"domain_scores_gemma":[0.99897707,0.000050407052,0.00044051764,0.0004028727,0.000075331205,0.00005383271],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001604793,0.0005860525,0.0008941916,0.00045911162,0.0000698129,0.000037490805,0.00019801015,0.0002660421,0.00006412337],"category_scores_gemma":[0.000031009105,0.0006749463,0.00014253145,0.000118639306,0.00009148927,0.0010494348,0.0001323074,0.0006827098,0.0000049188484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074313735,0.000045196248,0.000088055844,0.004176871,0.00012036537,0.000051724495,0.00042261754,0.80109626,0.009078483,0.0035266795,0.000029879418,0.18128957],"study_design_scores_gemma":[0.0034975337,0.00062449917,0.0022527247,0.0723895,0.00051376916,0.00006278381,0.00047042302,0.50887525,0.26094228,0.0981968,0.042763054,0.009411382],"about_ca_topic_score_codex":0.000018349421,"about_ca_topic_score_gemma":0.00010490747,"teacher_disagreement_score":0.812286,"about_ca_system_score_codex":0.0005277541,"about_ca_system_score_gemma":0.000021202208,"threshold_uncertainty_score":0.9995702},"labels":[],"label_agreement":null},{"id":"W7083414515","doi":"10.55324/jgi.v2i11.256","title":"Representasi Kecerdasan Buatan (AI) Pada Iklan Sirup Marjan “Bangkitnya Calon Arang” Episode 1&amp;2 Tahun 2025 Melalui Analisis Semiotika Charles Sanders Peirce","year":2025,"lang":"en","type":"article","venue":"Jurnal Global Ilmiah","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Semiotics; Meaning (existential); Analogy; Sign (mathematics); Representation (politics); Object (grammar)","score_opus":0.010279437305418339,"score_gpt":0.2954376220853611,"score_spread":0.28515818477994276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083414515","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.44963044,0.011829577,0.43687314,0.0063693337,0.0017942748,0.0015211743,0.0008766453,0.005207703,0.08589771],"genre_scores_gemma":[0.98858017,0.001338122,0.007152851,0.0012787912,0.0003096199,0.00006238875,0.00018662037,0.00007543334,0.0010160026],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.996442,0.00015947588,0.00093538966,0.0008203257,0.0006911534,0.00095161],"domain_scores_gemma":[0.9980814,0.00014232144,0.00016823504,0.001043505,0.00016840552,0.00039616003],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030587017,0.00066932314,0.0009408689,0.00031671813,0.00024999242,0.00017896279,0.0008420793,0.00034223526,0.0002262403],"category_scores_gemma":[0.00022081459,0.0006513246,0.00053707924,0.0020651743,0.00018648012,0.00043787507,0.0002549354,0.00078342267,0.00009112817],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004951596,0.00054167747,0.24910773,0.00070885295,0.0031513833,0.00044567595,0.0003058977,0.049137104,0.015333476,0.008023223,0.5244906,0.14825921],"study_design_scores_gemma":[0.0041558687,0.00034979812,0.12432408,0.0016326971,0.002175347,0.00024116518,0.0010991627,0.05044701,0.044612255,0.038371377,0.72708005,0.005511204],"about_ca_topic_score_codex":0.0011638276,"about_ca_topic_score_gemma":0.0011350315,"teacher_disagreement_score":0.5389497,"about_ca_system_score_codex":0.0008750779,"about_ca_system_score_gemma":0.000058750582,"threshold_uncertainty_score":0.9995938},"labels":[],"label_agreement":null},{"id":"W7096564973","doi":"","title":"Multivariate Refinement Equations and Subdivision Schemes","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subdivision; Multivariate statistics; Eigenvalues and eigenvectors; Spectral radius; Wavelet; Graphics; Subdivision surface; Matrix (chemical analysis)","score_opus":0.010686886830211292,"score_gpt":0.27272932244517156,"score_spread":0.26204243561496027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096564973","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01566292,0.000053344393,0.9760784,0.000039568014,0.000012527672,0.00005810812,4.425138e-7,0.00049402233,0.0076006697],"genre_scores_gemma":[0.8700835,0.000017133578,0.12957302,0.00003176116,0.000012445816,0.000004736964,0.0000028605432,0.00000805049,0.00026648628],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962884,0.0000023710147,0.00011836181,0.000076843215,0.00006679088,0.000106768675],"domain_scores_gemma":[0.9997945,0.00005453619,0.000008929719,0.00008555127,0.000015450882,0.000041067036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009537856,0.00005864606,0.00006627449,0.000056976627,0.000027313321,0.000007373204,0.000030744228,0.000022932278,0.00007068319],"category_scores_gemma":[0.000028939727,0.000048696944,0.000015718986,0.00012707355,0.000011525183,0.00006337289,0.000021414899,0.000045661727,0.0000120312825],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009476768,0.0000762695,0.001408637,0.00004420785,0.00009349259,0.000006893016,0.00015301992,0.0020135792,0.20060273,0.10825091,0.00089153775,0.6864492],"study_design_scores_gemma":[0.00042784135,0.00006660345,0.0086808745,0.00002168731,0.000039345563,0.0000016615008,0.0000779724,0.6056955,0.3026911,0.012108823,0.06966288,0.00052573724],"about_ca_topic_score_codex":0.00001252297,"about_ca_topic_score_gemma":0.000011409446,"teacher_disagreement_score":0.8544206,"about_ca_system_score_codex":0.000021151987,"about_ca_system_score_gemma":7.214455e-7,"threshold_uncertainty_score":0.19858037},"labels":[],"label_agreement":null},{"id":"W7096848354","doi":"","title":"Computing Planar Bisector Curves Based on Developable SSI","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Developable surface; Intersection (aeronautics); Voronoi diagram; Planar; Computational geometry; Parametric statistics; Parametric equation; Dimension (graph theory)","score_opus":0.008800642346773455,"score_gpt":0.24525440236071722,"score_spread":0.23645376001394375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7096848354","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0066105947,0.00009696726,0.9577445,0.00009000916,0.000037763402,0.00006785009,0.0000010957716,0.001519299,0.03383197],"genre_scores_gemma":[0.85825175,0.000014769941,0.1406929,0.0008193284,0.000037235703,0.0000018418409,0.000008343627,0.000025085195,0.00014877263],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929535,0.000006349247,0.00018438279,0.0001286706,0.00013986326,0.00024540568],"domain_scores_gemma":[0.9996139,0.00013278922,0.000018113637,0.00014587585,0.000021037114,0.000068293375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016213345,0.00011830657,0.00015032494,0.00011264401,0.000036852525,0.000007209709,0.00010406595,0.000037063626,0.00011027114],"category_scores_gemma":[0.000032687545,0.0001013651,0.000041932886,0.00036447583,0.000017307793,0.00004623632,0.0000081221515,0.000111744404,0.00004650294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111976115,0.0004640344,0.02610156,0.0013842582,0.0003260145,0.00024351818,0.00019847666,0.51698565,0.075412475,0.006418584,0.13239677,0.23995669],"study_design_scores_gemma":[0.00032659413,0.000103513594,0.009688701,0.0003862957,0.000025090689,0.000003380026,0.00003904049,0.66898906,0.28716844,0.00068890734,0.031748332,0.00083262386],"about_ca_topic_score_codex":0.000012792214,"about_ca_topic_score_gemma":0.000015604845,"teacher_disagreement_score":0.8516411,"about_ca_system_score_codex":0.00007666617,"about_ca_system_score_gemma":0.0000057157117,"threshold_uncertainty_score":0.41335487},"labels":[],"label_agreement":null},{"id":"W7099325885","doi":"","title":"ORIGINAL ARTICLE Assessing the vulnerability of rare plants using climate change velocity, habitat connectivity, and dispersal ability: a case study","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climate change; Biological dispersal; Habitat; Threatened species; Habitat fragmentation; Foothills; Habitat destruction; Boreal; Biodiversity","score_opus":0.03804153863297206,"score_gpt":0.3320269612140459,"score_spread":0.29398542258107385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099325885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9372443,0.000032453172,0.061950088,0.000039600392,0.000029960613,0.00033858753,0.000006403813,0.00023569196,0.00012291851],"genre_scores_gemma":[0.9938456,0.0000051469565,0.006040228,0.000021565318,0.00003996878,0.00002720968,6.2131e-7,0.000019328065,3.7102143e-7],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988249,0.00020041231,0.00028084245,0.0002582986,0.00017365793,0.0002619135],"domain_scores_gemma":[0.99902946,0.00045428603,0.000054623644,0.0003425721,0.00004687809,0.00007215763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007581498,0.00016996195,0.00033824428,0.00004879405,0.00017581717,0.00005659651,0.00009476974,0.000042400043,0.000014265073],"category_scores_gemma":[0.00011157064,0.000117667696,0.000051506424,0.00021645916,0.00014956144,0.0003852894,0.00013524904,0.00018155461,8.899302e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015708365,0.00035019472,0.9528966,0.00017630245,0.000079729805,0.00007755641,0.0017377131,0.0012100384,0.010139097,0.00031310975,0.0000034088837,0.033000536],"study_design_scores_gemma":[0.00041490502,0.00015919219,0.08866147,0.000033378055,0.0001291235,0.0002722322,0.0038260738,0.8997156,0.004887283,0.0015900502,0.000011207274,0.00029950755],"about_ca_topic_score_codex":0.00090989046,"about_ca_topic_score_gemma":0.0008318921,"teacher_disagreement_score":0.8985055,"about_ca_system_score_codex":0.000067941,"about_ca_system_score_gemma":0.0000050650206,"threshold_uncertainty_score":0.4798349},"labels":[],"label_agreement":null},{"id":"W7147116837","doi":"10.70675/2c207764z59c1z47e9z8c93z8af9e463f37c","title":"NSIBM : un solveur parallèle de Navier-Stokes avec raffinement automatique basé sur la méthode des frontières immergées","year":2015,"lang":"","type":"dissertation","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Easement; Program code; Thrust vectoring","score_opus":0.016410319223968066,"score_gpt":0.28012179199439674,"score_spread":0.26371147277042867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7147116837","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13041785,0.007544661,0.84346944,0.00025547697,0.0003983136,0.0012236095,0.00006309819,0.0025781924,0.014049381],"genre_scores_gemma":[0.44997093,0.006554027,0.5291878,0.000119597265,0.00024643014,0.00078317913,0.001000963,0.00047893485,0.011658147],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99333435,0.0006271961,0.002114546,0.001314108,0.0010189555,0.0015908503],"domain_scores_gemma":[0.9959251,0.00079162663,0.00066717697,0.0010995464,0.0007826349,0.000733881],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001235295,0.0018248605,0.0021914078,0.0006291351,0.00035073952,0.00030502348,0.00114769,0.0011823507,0.002115449],"category_scores_gemma":[0.00078047835,0.0017853208,0.00089236227,0.0009801636,0.0002430631,0.00090230035,0.00021801335,0.001314761,0.00016618836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005756184,0.002131242,0.004223034,0.0051199896,0.0056221266,0.00037472747,0.017933145,0.24651326,0.06619468,0.005490539,0.036482863,0.60933876],"study_design_scores_gemma":[0.0020542708,0.00057001365,0.008487124,0.0022528146,0.0022604123,0.00006780038,0.0023609528,0.6136675,0.26970196,0.07044051,0.022251118,0.0058855526],"about_ca_topic_score_codex":0.0013643688,"about_ca_topic_score_gemma":0.0023695575,"teacher_disagreement_score":0.6034532,"about_ca_system_score_codex":0.00096739543,"about_ca_system_score_gemma":0.00039396159,"threshold_uncertainty_score":0.9994496},"labels":[],"label_agreement":null},{"id":"W72241135","doi":"10.1007/978-1-4614-8118-8_8","title":"Proofs on Coverings by Cylinders","year":2013,"lang":"en","type":"book-chapter","venue":"Fields Institute monographs","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Hyperplane; Mathematics; Mathematical proof; Euclidean space; Regular polygon; Convex body; Affine space; Affine transformation; Euclidean geometry; Conjecture; Combinatorics; Space (punctuation); Pure mathematics; Mathematical analysis; Geometry; Convex hull; Computer science","score_opus":0.010048285463182219,"score_gpt":0.20387264299156618,"score_spread":0.19382435752838395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W72241135","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000121708974,0.000837943,0.05693272,0.00012194997,0.00051734794,0.0005183483,0.000077886514,0.0016536856,0.9392184],"genre_scores_gemma":[0.12035728,0.012222363,0.022611883,0.0032648193,0.00084513525,0.0007302054,0.0013673094,0.0008591909,0.8377418],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985819,0.0000035078033,0.00039227607,0.0004149534,0.00027987955,0.00032749426],"domain_scores_gemma":[0.99912214,0.000027671871,0.000095664676,0.0005670958,0.0000428877,0.00014455529],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000034332475,0.00055120315,0.0005245625,0.00030110934,0.00007177411,0.000050294166,0.00036509498,0.0007240213,0.00047373615],"category_scores_gemma":[0.000009609626,0.00054116495,0.0003402477,0.0000950481,0.0001453142,0.00022956074,0.00005742074,0.0009593921,0.00035917578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022560527,0.000050167164,0.000009990218,0.00024915102,0.000886173,0.00005406734,0.00010077702,0.008210075,0.00019970349,0.076609194,0.77149343,0.14211473],"study_design_scores_gemma":[0.00011219275,0.000111224785,0.0000013627523,0.00015996871,0.000060739294,0.0000022015652,0.0000019964025,0.0008280648,0.0011862696,0.022003615,0.9748503,0.00068207574],"about_ca_topic_score_codex":0.000021826343,"about_ca_topic_score_gemma":0.000014511764,"teacher_disagreement_score":0.20335688,"about_ca_system_score_codex":0.000082223014,"about_ca_system_score_gemma":0.000010907687,"threshold_uncertainty_score":0.999704},"labels":[],"label_agreement":null},{"id":"W75743518","doi":"","title":"ACM: atlas of connectivity maps for semiregular models","year":2013,"lang":"en","type":"article","venue":"Graphics Interface","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Atlas (anatomy); Computer science; Subdivision; Data structure; Computer graphics; Transformation (genetics); Theoretical computer science; Graphics; Algorithm; Data mining; Computer graphics (images); Geography","score_opus":0.019967280304266512,"score_gpt":0.26023610350794185,"score_spread":0.24026882320367535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W75743518","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16491978,0.0003008053,0.8335487,0.00013167254,0.000049119735,0.00027369376,0.00002034099,0.00033974004,0.00041614904],"genre_scores_gemma":[0.9713124,0.000077874975,0.028351214,0.000019854588,0.000014431329,0.000112041074,0.0000050560525,0.00003182537,0.0000752974],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99931955,0.000012905273,0.00019919992,0.00016759078,0.000105301384,0.00019544344],"domain_scores_gemma":[0.9992061,0.000148946,0.00004739312,0.0004183598,0.00012725995,0.000051927494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008685786,0.00014393586,0.00026378437,0.00010375691,0.00002474472,0.000011981318,0.000286633,0.00009164081,0.000020860645],"category_scores_gemma":[0.000070170354,0.00013685825,0.00014134841,0.000251698,0.00007390273,0.00022603209,0.000066605535,0.00013765729,0.0000073146225],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051446408,0.00022123172,0.00089208374,0.00082594156,0.000887768,0.000001434385,0.00062281865,0.34594172,0.48128852,0.09713826,0.050934914,0.021193838],"study_design_scores_gemma":[0.0001193316,0.000059297443,0.0000501425,0.00003571344,0.000024836985,0.0000011265753,0.000029793693,0.2930778,0.34945035,0.35490772,0.0020490543,0.00019482824],"about_ca_topic_score_codex":0.000030846633,"about_ca_topic_score_gemma":0.000010170481,"teacher_disagreement_score":0.8063926,"about_ca_system_score_codex":0.00002646897,"about_ca_system_score_gemma":0.000003089005,"threshold_uncertainty_score":0.55809176},"labels":[],"label_agreement":null},{"id":"W78680835","doi":"","title":"On Quadrangulations of Closed Surfaces Covered by Vertices of Degree 3","year":2002,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Degree (music); Combinatorics; Physics","score_opus":0.014817218742804492,"score_gpt":0.22864598655219712,"score_spread":0.21382876780939264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W78680835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942452,0.0005389235,0.0006537267,0.0000227656,0.00011109654,0.00008350948,0.000018535777,0.00016919129,0.0041571013],"genre_scores_gemma":[0.99907327,0.00007656811,0.00076036307,0.000007235801,0.0000010039188,0.000005310996,0.0000060924654,0.00001682136,0.000053327363],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999342,0.000019639736,0.00025321118,0.00009749382,0.00017349362,0.000114120674],"domain_scores_gemma":[0.99945956,0.00016455064,0.000068250745,0.00022565156,0.00004682247,0.0000351322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003995639,0.00010051754,0.0002345805,0.000059684615,0.000019460444,0.0000038059547,0.00013818078,0.00005251304,0.00015429144],"category_scores_gemma":[0.000058760943,0.00009902866,0.00006465232,0.00030091972,0.000046133955,0.00009100043,0.000012965483,0.00007213067,0.000011858161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009452885,0.0019526088,0.011040444,0.0004869866,0.00094003434,0.0000073489737,0.0015038132,0.057838522,0.44471538,0.39305583,0.055919293,0.032445207],"study_design_scores_gemma":[0.0012327245,0.0004053249,0.006385963,0.000080535916,0.000107130705,5.002823e-7,0.000047056117,0.093334846,0.58958095,0.30687737,0.0014700121,0.00047759066],"about_ca_topic_score_codex":0.00002386769,"about_ca_topic_score_gemma":0.0000022918416,"teacher_disagreement_score":0.14486556,"about_ca_system_score_codex":0.000027422977,"about_ca_system_score_gemma":0.0000016463881,"threshold_uncertainty_score":0.40382716},"labels":[],"label_agreement":null},{"id":"W82705568","doi":"10.1016/j.cag.2009.05.006","title":"Sketching piecewise clothoid curves","year":2009,"lang":"en","type":"article","venue":"Computers & Graphics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":116,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Curvature; Piecewise; Sketch; Piecewise linear function; Arc length; Interpolation (computer graphics); Classification of discontinuities; Computer science; Path (computing); Mathematics; Generalization; Algorithm; Geometry; Arc (geometry); Mathematical analysis; Artificial intelligence; Motion (physics)","score_opus":0.006556189883709762,"score_gpt":0.2267566268035494,"score_spread":0.22020043691983965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W82705568","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010096702,0.003795756,0.9816378,0.000659538,0.00018108448,0.000114833965,0.0000020503176,0.0022918582,0.0012203744],"genre_scores_gemma":[0.92677736,0.0036914754,0.065668084,0.0036613098,0.00012927655,0.0000065599374,0.000015066043,0.00003581578,0.000015074632],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991412,0.000019940106,0.0002206721,0.0001934219,0.00016648023,0.0002582719],"domain_scores_gemma":[0.99948055,0.000054233005,0.000031925636,0.0003010941,0.00003224822,0.00009996319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008870737,0.00018417413,0.00024346575,0.00015723707,0.00006043584,0.000027248232,0.00027321745,0.000058365054,0.000005618337],"category_scores_gemma":[0.000013491851,0.0001847948,0.0001405449,0.0006017525,0.000037730362,0.00017409184,0.000026734197,0.00026062617,0.000008795574],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016909724,0.00030391171,0.0017768532,0.00045807473,0.00033958573,0.00012555426,0.0004951057,0.050981764,0.012524758,0.027030362,0.16644199,0.7395051],"study_design_scores_gemma":[0.0007599898,0.00043258903,0.011669071,0.0012390998,0.00021197986,0.00006042447,0.000021720098,0.68516785,0.011175033,0.13162827,0.15518752,0.002446451],"about_ca_topic_score_codex":0.000002293258,"about_ca_topic_score_gemma":0.0000013183603,"teacher_disagreement_score":0.91668063,"about_ca_system_score_codex":0.000025817257,"about_ca_system_score_gemma":0.0000036451695,"threshold_uncertainty_score":0.75357133},"labels":[],"label_agreement":null},{"id":"W897097795","doi":"10.1007/s00170-015-7532-1","title":"The edge–torus tangency problem in multipoint machining of triangulated surface models","year":2015,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"University of Waterloo","keywords":"Torus; Tangent; Surface (topology); Enhanced Data Rates for GSM Evolution; Tensor product; Geometry; Triangulation; Pyramid (geometry); Toroid; Mathematics; Computer science; Pure mathematics; Physics; Artificial intelligence","score_opus":0.013984836441136182,"score_gpt":0.2570967278077283,"score_spread":0.24311189136659211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W897097795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9160922,0.0022731035,0.0782997,0.0020153495,0.0004467767,0.00021200128,0.0000038241824,0.00021036771,0.00044663358],"genre_scores_gemma":[0.9568293,0.0006471397,0.042400837,0.000015768332,0.000037886894,0.000007450228,8.54833e-7,0.000024924017,0.0000358291],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99849266,0.000034763834,0.00075140805,0.00011151158,0.00038768325,0.00022199386],"domain_scores_gemma":[0.9988706,0.00017482253,0.00040384015,0.0002564282,0.0002506416,0.000043661068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052653864,0.00016052056,0.00030479016,0.0003003272,0.000034980323,0.000016724201,0.0012235673,0.00009292637,0.0000034251616],"category_scores_gemma":[0.00016835787,0.000099884244,0.00009845503,0.00022936164,0.00012998303,0.00025426314,0.00016613911,0.0005649498,0.0000014748521],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014006876,0.000028812196,0.000066403016,0.00000480634,0.00014138287,0.000026167347,0.00017441335,0.91903496,0.018171377,0.0009998878,0.000074598174,0.06113714],"study_design_scores_gemma":[0.0012356461,0.00013987126,0.000091594215,0.00014183453,0.000026295858,0.00014295663,0.0005556068,0.050042745,0.7214458,0.22328228,0.0026964366,0.00019896401],"about_ca_topic_score_codex":0.00001543524,"about_ca_topic_score_gemma":0.000025603618,"teacher_disagreement_score":0.8689922,"about_ca_system_score_codex":0.00028161655,"about_ca_system_score_gemma":0.000030023983,"threshold_uncertainty_score":0.40731612},"labels":[],"label_agreement":null}]}