{"meta":{"query_hash":"d5036f575d31","filters":{"venue":"Computer Graphics Forum"},"cohort_total":355,"direct_labels_cover":0,"predictions_cover":355,"exported":355,"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/d5036f575d31","api":"https://metacan.xera.ac/api/v1/cohort?venue=Computer+Graphics+Forum"},"results":[{"id":"W1482387172","doi":"10.1111/cgf.12652","title":"A Novel Framework for Visual Detection and Exploration of Performance Bottlenecks in Organic Photovoltaic Solar Cell Materials","year":2015,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Photovoltaic system; Characterization (materials science); Computer science; Organic solar cell; Fabrication; Process (computing); Polymer solar cell; Nanotechnology; Materials science; Solar cell; Optoelectronics; Engineering; Electrical engineering","score_opus":0.017299052385112423,"score_gpt":0.2736387158505972,"score_spread":0.25633966346548476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1482387172","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":[0.44036433,0.000073630115,0.5592128,0.0000058359956,0.000094611045,0.00023102356,0.000006574604,0.000010185355,0.0000010138731],"genre_scores_gemma":[0.88511735,0.00014403182,0.114478946,0.000072892406,0.000061120205,0.00006849235,0.000033672688,0.000020304762,0.0000031805575],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993037,0.000016031247,0.00020499535,0.0002351747,0.00006332907,0.00017675477],"domain_scores_gemma":[0.99958473,0.00001017444,0.0001032394,0.00015570848,0.000106437365,0.000039701164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017363965,0.00011864971,0.00013825954,0.00008711371,0.000036843594,0.000017069171,0.000093358096,0.0001842036,5.534293e-7],"category_scores_gemma":[0.000023139017,0.00012461969,0.00002596296,0.00011715501,0.000062830724,0.000024194858,0.00010190567,0.000069620524,2.4497993e-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":[0.0001068473,0.000053223503,0.0011243578,0.00004871854,0.000004513596,1.1889663e-7,0.000059799888,0.000010418917,0.9972009,0.00012150511,0.000015922977,0.0012536817],"study_design_scores_gemma":[0.00044449672,0.0008840156,0.00027311145,0.000043588152,0.0000048044312,0.000003487167,0.00003576375,0.0025501812,0.99310774,0.0019101416,0.0006097159,0.00013296011],"about_ca_topic_score_codex":0.0000055911205,"about_ca_topic_score_gemma":0.000023374974,"teacher_disagreement_score":0.44475302,"about_ca_system_score_codex":0.000011717748,"about_ca_system_score_gemma":0.000030475576,"threshold_uncertainty_score":0.5081844},"labels":[],"label_agreement":null},{"id":"W1523509975","doi":"10.1111/cgf.12579","title":"Replaceable Substructures for Efficient Part‐Based Modeling","year":2015,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":24,"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; Consistency (knowledge bases); Boundary (topology); Theoretical computer science; Matching (statistics); Key (lock); Topology (electrical circuits); Algorithm; Mathematics; Artificial intelligence; Combinatorics","score_opus":0.036184518900258075,"score_gpt":0.2518000088789641,"score_spread":0.215615489978706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1523509975","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":[0.016097184,0.0002668819,0.97936285,0.0007908097,0.0028140955,0.00019957549,0.000003331387,0.0003502966,0.00011495078],"genre_scores_gemma":[0.6665983,0.0000019896556,0.33207256,0.0009592334,0.00026427707,0.000030458856,0.00001305916,0.000020174377,0.000039945102],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846,0.00003801095,0.00027850515,0.00050534436,0.00026878904,0.00044937572],"domain_scores_gemma":[0.998774,0.000054241274,0.00010904126,0.0005283665,0.00036453005,0.00016983585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045594925,0.00018333351,0.0001885567,0.00022609462,0.00029482107,0.0003507253,0.0006041501,0.000098863195,6.3058513e-7],"category_scores_gemma":[0.000027711907,0.00016632561,0.00012835086,0.00041200544,0.00006025665,0.00025714305,0.00013727006,0.0001469108,0.0000045423612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000707858,0.00013443493,0.0009215903,0.00012723058,0.00005000554,0.000009020829,0.0006867631,0.70482665,0.000037781578,0.21061371,0.018872352,0.06364966],"study_design_scores_gemma":[0.00071773457,0.00009131228,0.000005528714,0.000035872366,0.000007156555,0.000031331918,0.000016184335,0.9662919,0.00076406,0.02794966,0.0038725343,0.00021672335],"about_ca_topic_score_codex":0.000009371349,"about_ca_topic_score_gemma":0.0000055396918,"teacher_disagreement_score":0.65050113,"about_ca_system_score_codex":0.00003625461,"about_ca_system_score_gemma":0.00022995632,"threshold_uncertainty_score":0.6782562},"labels":[],"label_agreement":null},{"id":"W1531567522","doi":"10.1111/cgf.12257","title":"Visibility Silhouettes for Semi‐Analytic Spherical Integration","year":2013,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Université de Montréal","funders":"","keywords":"Visibility; Distributed ray tracing; Computer vision; Silhouette; Computer science; Ray tracing (physics); Radiance; Artificial intelligence; Global illumination; Computation; Computer graphics (images); Point (geometry); Shadow (psychology); Tracing; Representation (politics); Function (biology); Algorithm; Geometry; Mathematics; Rendering (computer graphics); Optics; Physics","score_opus":0.018469845793237676,"score_gpt":0.2817069681580214,"score_spread":0.2632371223647837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1531567522","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":[0.004468595,0.00008363862,0.99094594,0.0020186643,0.00061075756,0.0009217035,0.000004320711,0.00086504006,0.00008133253],"genre_scores_gemma":[0.7776893,0.000033442207,0.21778312,0.003918319,0.00021829012,0.0002429917,0.00003601569,0.00003249543,0.000046019235],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99764353,0.000089534005,0.00057455024,0.0008098087,0.00034386237,0.0005387353],"domain_scores_gemma":[0.9976991,0.00029083047,0.00019067213,0.0010254123,0.00059569045,0.00019831081],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040611127,0.00031905968,0.00035377961,0.00032557713,0.00028697346,0.0007549702,0.0013334573,0.00016745484,0.000016030916],"category_scores_gemma":[0.00003486215,0.00028841692,0.0003481985,0.0011500872,0.00010740763,0.00096686865,0.00051928655,0.00022024874,0.000021143098],"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":[0.0000024523688,0.00013097425,0.0021859992,0.00002518199,0.000036418176,8.722003e-7,0.00012801278,0.000012707771,0.00009154919,0.9307214,0.026324496,0.040339943],"study_design_scores_gemma":[0.00022851568,0.00026948552,0.003008956,0.000027250706,0.000008465818,0.000005574743,0.0000069390503,0.76393265,0.0011382306,0.22675611,0.0043188278,0.00029899494],"about_ca_topic_score_codex":0.00006215228,"about_ca_topic_score_gemma":0.00001945486,"teacher_disagreement_score":0.7732207,"about_ca_system_score_codex":0.00004074377,"about_ca_system_score_gemma":0.000056288933,"threshold_uncertainty_score":0.9999568},"labels":[],"label_agreement":null},{"id":"W1535989272","doi":"10.1111/cgf.12015","title":"Curve Style Analysis in a Set of Shapes","year":2013,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Simon Fraser University","funders":"","keywords":"Set (abstract data type); Row; Computer science; Shape analysis (program analysis); Matrix (chemical analysis); Style (visual arts); Artificial intelligence; Feature (linguistics); Mode (computer interface); Pattern recognition (psychology); Algorithm; Static analysis","score_opus":0.010531859040137828,"score_gpt":0.21065112370860584,"score_spread":0.20011926466846802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1535989272","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":[0.5780363,0.00024750893,0.42120963,0.00011217309,0.00005434589,0.00006337099,0.000010705592,0.00010523376,0.00016075234],"genre_scores_gemma":[0.99820083,0.000057952802,0.0016007259,0.000056398643,0.000027606111,0.00000884792,0.000020545474,0.000013665306,0.000013417212],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919766,0.000018687339,0.00028019038,0.00015116186,0.00012404565,0.00022824232],"domain_scores_gemma":[0.9996308,0.00003707282,0.000031306394,0.00019450777,0.00005583997,0.000050447426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010211263,0.000120424564,0.00030343392,0.0007443075,0.000020731253,0.000029699248,0.00018315385,0.00006648085,0.000048150927],"category_scores_gemma":[0.0000026835612,0.00011633294,0.00023800907,0.0014584712,0.0000244574,0.000098789176,0.000046266534,0.00012498075,0.000016299122],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014557693,0.0000421178,0.1342566,0.000071746785,0.0012261572,0.000003775014,0.0005775938,0.851115,0.00010383335,0.0012666822,0.002619101,0.008715925],"study_design_scores_gemma":[0.00010634524,0.000012723626,0.01349412,0.000014622725,0.000087512126,3.0689878e-7,0.000033792992,0.984844,0.000042742136,0.0011443214,0.000096031974,0.0001234247],"about_ca_topic_score_codex":0.00020760445,"about_ca_topic_score_gemma":0.00029415303,"teacher_disagreement_score":0.42016456,"about_ca_system_score_codex":0.000009921115,"about_ca_system_score_gemma":0.0000041782723,"threshold_uncertainty_score":0.47439197},"labels":[],"label_agreement":null},{"id":"W1537892751","doi":"10.1111/cgf.12644","title":"Detangler: Visual Analytics for Multiplex Networks","year":2015,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":43,"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 University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Computer science; Multiplex; Cohesion (chemistry); Visual analytics; Feature (linguistics); Network analysis; Human–computer interaction; Data mining; Visualization; Distributed computing; Artificial intelligence","score_opus":0.04452672229331042,"score_gpt":0.30661352408226444,"score_spread":0.26208680178895405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537892751","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":[0.00028741235,0.000115125265,0.9969936,0.0006898813,0.0012403629,0.00023980248,0.000012264556,0.0003072962,0.00011423351],"genre_scores_gemma":[0.69143146,0.00008080444,0.29406273,0.012381821,0.0011495319,0.00004113768,0.00038288283,0.000080199025,0.0003894191],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99820083,0.000051313742,0.00038158058,0.0004883739,0.0003427361,0.00053519],"domain_scores_gemma":[0.9983095,0.00012841632,0.00014827913,0.00063051813,0.00042651026,0.0003567785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044698967,0.0002294931,0.00026619429,0.00027504636,0.00017366048,0.00042780375,0.0011435029,0.00012639123,0.0000017270111],"category_scores_gemma":[0.00004966332,0.00022124263,0.00018590313,0.0009717687,0.00007629038,0.00052824034,0.00054166245,0.00014049797,0.000017925917],"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":[0.000011579661,0.00020055201,0.0050586085,0.000016144451,0.0000873018,0.000010435226,0.00016241758,0.009308158,0.0000020590078,0.8655214,0.10206167,0.017559705],"study_design_scores_gemma":[0.00077147316,0.00020712247,0.00017993651,0.000012605011,0.000015767497,0.000008207019,0.000020866439,0.918721,0.000020967638,0.0072987475,0.07247073,0.00027252952],"about_ca_topic_score_codex":0.0000051879056,"about_ca_topic_score_gemma":0.0000276155,"teacher_disagreement_score":0.90941286,"about_ca_system_score_codex":0.000032447322,"about_ca_system_score_gemma":0.00009502394,"threshold_uncertainty_score":0.9022013},"labels":[],"label_agreement":null},{"id":"W1567080455","doi":"10.1111/cgf.12515","title":"Interactive Procedural Modelling of Coherent Waterfall Scenes","year":2014,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Université de Montréal","funders":"European Research Council; Networks of Centres of Excellence of Canada","keywords":"Waterfall; Computer science; Terrain; Computer graphics (images); Embedding; Procedural modeling; Interactive design; Human–computer interaction; Artificial intelligence","score_opus":0.025753788455799287,"score_gpt":0.2634793403107931,"score_spread":0.23772555185499383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1567080455","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":[0.016359234,0.0000558001,0.9818133,0.00036298647,0.0005973943,0.00025079044,0.0000020018367,0.0004228263,0.00013565007],"genre_scores_gemma":[0.9327938,0.000042513584,0.0662436,0.0007668356,0.000092918366,0.00001937687,0.00000861227,0.000020980619,0.000011399091],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981231,0.000104587525,0.0005221693,0.0005475622,0.00030494106,0.00039763766],"domain_scores_gemma":[0.99836826,0.00011584713,0.00026925176,0.0007063014,0.00041780111,0.00012253209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034205255,0.00027104784,0.00035347743,0.0004935887,0.00014363368,0.0001977129,0.0013008018,0.0001051865,0.0000022756844],"category_scores_gemma":[0.0000065131803,0.000244714,0.0002060575,0.0006921048,0.00009862077,0.0005441747,0.00074082153,0.0002042621,0.000003977563],"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":[0.0000067980545,0.00012810418,0.001408665,0.000055095043,0.00003705175,0.0000010736175,0.00047531826,0.00081636105,0.000041917447,0.98567426,0.0010559958,0.010299373],"study_design_scores_gemma":[0.00024200634,0.0003048484,0.00021287806,0.00011142023,0.0000060356933,0.000009384136,0.0000053958606,0.88744146,0.0051648524,0.10339363,0.002846088,0.00026198276],"about_ca_topic_score_codex":0.000038946797,"about_ca_topic_score_gemma":0.00000997733,"teacher_disagreement_score":0.9164345,"about_ca_system_score_codex":0.000016750995,"about_ca_system_score_gemma":0.00003700494,"threshold_uncertainty_score":0.9979148},"labels":[],"label_agreement":null},{"id":"W1583384137","doi":"10.1111/cgf.12395","title":"Papilio: Visualizing Android Application Permissions","year":2014,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Malware Detection Techniques","field":"Computer Science","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":"Alberta Innovates - Technology Futures","keywords":"Computer science; Permission; Android (operating system); Exploit; Visualization; Theoretical computer science; Data mining; Operating system; Computer security","score_opus":0.007370657783155393,"score_gpt":0.2560905097168354,"score_spread":0.24871985193368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1583384137","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":[0.0010136776,0.000055125925,0.9955635,0.0008217343,0.00036518715,0.00022332015,9.4823685e-7,0.0015494109,0.00040707955],"genre_scores_gemma":[0.7682331,0.000031718275,0.22955053,0.0019056399,0.00014873018,0.00007187166,0.0000060847137,0.000023605307,0.000028718061],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851054,0.000072922376,0.00026749284,0.0005422819,0.0002511461,0.00035564468],"domain_scores_gemma":[0.99855876,0.00011080303,0.0001306224,0.00091717805,0.00013353699,0.00014911778],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028097592,0.00018546887,0.0001764405,0.00029668811,0.00034242877,0.00013802084,0.00090516155,0.000104108025,0.0000022359395],"category_scores_gemma":[0.000021415188,0.00018402905,0.00010905575,0.00073935266,0.000062062,0.00052916293,0.0004846295,0.00021465762,0.000029680356],"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":[0.0000019840002,0.000046323155,0.00053551496,0.000012674172,0.000010022177,0.0000015824405,0.0000823056,0.00005337764,0.0010933983,0.7899862,0.0022636196,0.205913],"study_design_scores_gemma":[0.0002304165,0.00021723063,0.000970057,0.000030175353,0.000004440421,0.000042843112,0.000005951844,0.6914732,0.010502798,0.16469002,0.13146147,0.00037140338],"about_ca_topic_score_codex":0.000008062197,"about_ca_topic_score_gemma":0.000006094924,"teacher_disagreement_score":0.7672194,"about_ca_system_score_codex":0.000026677297,"about_ca_system_score_gemma":0.00001914762,"threshold_uncertainty_score":0.7504487},"labels":[],"label_agreement":null},{"id":"W1584192457","doi":"10.1111/cgf.12204","title":"Mobility‐Trees for Indoor Scenes Manipulation","year":2013,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Pose and Action Recognition","field":"Computer Science","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":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Computer science; Object (grammar); Representation (politics); Construct (python library); Set (abstract data type); Tree (set theory); Variety (cybernetics); Motion (physics); Artificial intelligence; Computer graphics (images); Computer vision; Human–computer interaction; Mathematics","score_opus":0.02546722244104075,"score_gpt":0.24679364522657102,"score_spread":0.22132642278553027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1584192457","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":[0.07003214,0.00003849175,0.92688847,0.0012263815,0.0008199748,0.0005921939,0.0000029749906,0.00026745338,0.00013191746],"genre_scores_gemma":[0.9645246,0.00001211006,0.03348353,0.0014344765,0.0002515167,0.00016627132,0.000031605225,0.000012698632,0.000083184845],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99889493,0.00003100114,0.00024578156,0.00036561798,0.00016235272,0.00030034312],"domain_scores_gemma":[0.9990766,0.00010292848,0.000092573115,0.00038209587,0.00026090883,0.00008487741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013038112,0.00014305249,0.00013732129,0.00021926143,0.00024614355,0.00033789815,0.0004386876,0.00008484571,0.000024646439],"category_scores_gemma":[0.000008690004,0.00013501177,0.00013697224,0.0002693651,0.000038160382,0.0010012042,0.00014338084,0.00009212834,0.000111916685],"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":[0.00000667242,0.00027621316,0.007776014,0.000064127555,0.0000578938,0.0000019832455,0.00026121762,0.00010109227,0.00033134743,0.68259907,0.024825767,0.2836986],"study_design_scores_gemma":[0.00060081686,0.0002272466,0.03929706,0.00003077771,0.0000085734,0.000014452948,0.000011973109,0.7203858,0.0012828755,0.22510292,0.012696848,0.0003406954],"about_ca_topic_score_codex":0.00001939039,"about_ca_topic_score_gemma":0.000021828218,"teacher_disagreement_score":0.89449245,"about_ca_system_score_codex":0.000018126259,"about_ca_system_score_gemma":0.000021773823,"threshold_uncertainty_score":0.55056196},"labels":[],"label_agreement":null},{"id":"W1819977652","doi":"10.1111/j.1467-8659.2011.02073.x","title":"Computational Plenoptic Imaging","year":2011,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":78,"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; Computational photography; ENCODE; Computer vision; Computer graphics (images); Photography; Function (biology); Artificial intelligence; Process (computing); Visualization; Digital photography; Optics; Physics; Image (mathematics); Image processing; Art","score_opus":0.011131822776582052,"score_gpt":0.18624931024332583,"score_spread":0.17511748746674377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1819977652","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":[0.15247501,0.000557622,0.831585,0.00020465527,0.0022099412,0.00016955598,0.00001313839,0.001776016,0.011009041],"genre_scores_gemma":[0.98224914,0.000010739064,0.017136548,0.00044562615,0.0000905706,0.000003561314,0.000012796643,0.00003627825,0.000014741908],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992557,0.0000089342875,0.00016258463,0.00015372709,0.000120606026,0.00029841802],"domain_scores_gemma":[0.9996685,0.000025471714,0.000017027245,0.00017403073,0.000040494284,0.00007449313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000050970415,0.00014462716,0.00011477405,0.0001532325,0.000074856944,0.000037070327,0.00017209674,0.000028684455,0.000036551966],"category_scores_gemma":[0.000001439051,0.00015511567,0.00007666276,0.00019127366,0.00006285259,0.00013125903,0.00004662611,0.00014892902,0.00006958905],"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":[0.00002337508,0.00028030164,0.1191505,0.00026992493,0.00046421515,0.00028534807,0.0058238707,0.085133165,0.00021027248,0.5587389,0.11037438,0.11924576],"study_design_scores_gemma":[0.0002281611,0.000014810586,0.012777564,0.00002301706,0.000010659083,0.000048188067,0.000029518576,0.9622364,0.00010949609,0.019589307,0.0046796296,0.00025326456],"about_ca_topic_score_codex":0.000008008183,"about_ca_topic_score_gemma":0.0000024479139,"teacher_disagreement_score":0.8771032,"about_ca_system_score_codex":0.000014240674,"about_ca_system_score_gemma":0.000007031881,"threshold_uncertainty_score":0.6325433},"labels":[],"label_agreement":null},{"id":"W1821624969","doi":"10.1111/cgf.12393","title":"Evaluating the Impact of User Characteristics and Different Layouts on an Interactive Visualization for Decision Making","year":2014,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":71,"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":"Computer science; Visualization; Personalization; Human–computer interaction; Interactive visualization; Information visualization; Set (abstract data type); Visual analytics; User experience design; Focus (optics); Interactive visual analysis; Data visualization; World Wide Web; Data mining","score_opus":0.04802186889588619,"score_gpt":0.41210370332887425,"score_spread":0.3640818344329881,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1821624969","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":[0.27501366,0.0000030921406,0.72451484,0.00004535564,0.00020320056,0.00016635416,0.000015353728,0.00003219841,0.0000059292515],"genre_scores_gemma":[0.98927486,0.0000078381845,0.010067929,0.00050275004,0.00007947135,0.0000066896077,0.00004362687,0.000013703426,0.0000031523186],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99878836,0.00014437732,0.0003133482,0.0003103521,0.00025057048,0.00019300393],"domain_scores_gemma":[0.9982007,0.0007551431,0.0002768721,0.00046843482,0.00023948465,0.00005934953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050939905,0.00016080291,0.00020455389,0.00018230616,0.00019455537,0.00028444445,0.0004975931,0.000050411694,0.0000018004829],"category_scores_gemma":[0.00017223322,0.00010369468,0.000098253484,0.00024682735,0.00004563379,0.0003588544,0.0002677182,0.0000826825,7.580137e-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":[0.00010010466,0.00028870278,0.018004134,0.00003475851,0.00007687628,3.5741155e-7,0.0011627403,0.0011375973,0.00015688229,0.75170004,0.00058987626,0.22674793],"study_design_scores_gemma":[0.00028389858,0.0012899768,0.0489618,0.00014028116,0.000011581151,0.0000021976816,0.000010665674,0.9392472,0.000049079837,0.0098079825,0.00007649244,0.00011883822],"about_ca_topic_score_codex":0.0000033329309,"about_ca_topic_score_gemma":0.0000042765682,"teacher_disagreement_score":0.93810964,"about_ca_system_score_codex":0.000020712729,"about_ca_system_score_gemma":0.000019080455,"threshold_uncertainty_score":0.42285463},"labels":[],"label_agreement":null},{"id":"W1851634808","doi":"10.1111/cgf.12622","title":"Compressive Volume Rendering","year":2015,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Sparse and Compressive Sensing 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":"Computer science; Rendering (computer graphics); Pixel; Volume rendering; Computer vision; Compressed sensing; Artificial intelligence; Tiled rendering; Image-based modeling and rendering; 3D rendering; Algorithm; Computer graphics (images); Computer graphics; Software rendering","score_opus":0.026544882224034224,"score_gpt":0.21999952010145532,"score_spread":0.1934546378774211,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1851634808","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":[0.036870223,0.000934157,0.9509309,0.0001856148,0.001794556,0.00016735094,0.0000055823566,0.0030053195,0.0061063296],"genre_scores_gemma":[0.9892252,0.00003456358,0.010135598,0.00028641446,0.00021622825,0.000007827965,0.000010861272,0.00004543151,0.000037857957],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911594,0.000018879024,0.00017522382,0.0001844047,0.00017593124,0.00032959448],"domain_scores_gemma":[0.99933887,0.000017802035,0.000029089599,0.0003684048,0.0000949478,0.00015088629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006734508,0.00018290861,0.00018800047,0.00014962001,0.000057684912,0.00007014331,0.0002642972,0.000094172654,0.0000039500414],"category_scores_gemma":[0.0000041296585,0.0001921501,0.00007928703,0.00020525393,0.000054097207,0.00013794811,0.00014260777,0.00021387849,0.000034249366],"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":[0.000016603102,0.00006037495,0.0066402606,0.000034156932,0.00021131533,0.00014801718,0.00069531973,0.035505567,0.0009378099,0.034480806,0.89600414,0.025265606],"study_design_scores_gemma":[0.00030031608,0.00007821643,0.00080153166,0.0000710386,0.000012569302,0.000047513375,0.000034963174,0.8678411,0.003390609,0.012465739,0.114581384,0.00037500582],"about_ca_topic_score_codex":0.000013518471,"about_ca_topic_score_gemma":0.0000066959287,"teacher_disagreement_score":0.95235497,"about_ca_system_score_codex":0.000028665436,"about_ca_system_score_gemma":0.000011702158,"threshold_uncertainty_score":0.78356534},"labels":[],"label_agreement":null},{"id":"W1857485372","doi":"10.1111/cgf.12696","title":"Reforming Shapes for Material‐aware Fabrication","year":2015,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Fabrication; Context (archaeology); Geometric modeling; Component (thermodynamics); Object (grammar); Characterization (materials science); Relation (database); Variety (cybernetics); Topology (electrical circuits); Engineering drawing; Mechanical engineering; Artificial intelligence; Nanotechnology; Engineering; Materials science; Data mining","score_opus":0.02540935558869734,"score_gpt":0.23176110640480646,"score_spread":0.20635175081610913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1857485372","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":[0.031538475,0.00012361805,0.9669301,0.00015253373,0.0005983283,0.00009532766,0.000021231079,0.0003946483,0.00014572879],"genre_scores_gemma":[0.99420214,0.000021757938,0.005160256,0.00013240922,0.00030818925,0.00002551065,0.0000847739,0.000031043168,0.000033933986],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993409,0.000006647655,0.00017973216,0.0001441551,0.00010160087,0.00022694554],"domain_scores_gemma":[0.9996011,0.000014133326,0.000025516187,0.00015021842,0.00012567005,0.00008330987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001302828,0.000117085365,0.00014541131,0.00013778127,0.00006697816,0.000057079797,0.00015290422,0.000068248904,0.0000025277286],"category_scores_gemma":[0.000005380951,0.000110888875,0.00009463186,0.00017246713,0.000012779075,0.00011784123,0.000034786106,0.00005694822,0.000009870302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061621104,0.00013830292,0.0037228768,0.0006768443,0.0007992457,0.000009860718,0.0021587315,0.48932728,0.0011023472,0.024362935,0.13590091,0.34173903],"study_design_scores_gemma":[0.00015927349,0.000030036237,0.000056227873,0.000020045789,0.000021611273,0.0000019428114,0.000041275744,0.9878107,0.00044329578,0.0038462656,0.0074151475,0.00015421251],"about_ca_topic_score_codex":0.000009136354,"about_ca_topic_score_gemma":0.000009358799,"teacher_disagreement_score":0.96266365,"about_ca_system_score_codex":0.0000292454,"about_ca_system_score_gemma":0.000009616159,"threshold_uncertainty_score":0.4521917},"labels":[],"label_agreement":null},{"id":"W1882610713","doi":"10.1111/cgf.12724","title":"Full 3D Plant Reconstruction via Intrusive Acquisition","year":2015,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":42,"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":"Shenzhen Institutes of Advanced Technology Innovation Program for Excellent Young Researchers; National Natural Science Foundation of China","keywords":"Computer science; Polygon mesh; Disjoint sets; Computer vision; Process (computing); Artificial intelligence; 3D reconstruction; Computer graphics (images); Mathematics","score_opus":0.011485506881477668,"score_gpt":0.20894823767484122,"score_spread":0.19746273079336354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1882610713","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":[0.3703046,0.000023472583,0.6210627,0.0012112766,0.0010722225,0.00024989384,0.000011189156,0.00017453035,0.0058901054],"genre_scores_gemma":[0.9686016,0.000010672967,0.030208003,0.0008582077,0.00020218962,0.0000031494726,0.000056536785,0.000014337198,0.000045315723],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991933,0.000033311877,0.00014705207,0.00024699033,0.0001794202,0.00019992558],"domain_scores_gemma":[0.99951357,0.000017507182,0.000069097,0.00025134985,0.000018642033,0.00012984467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001307256,0.00010086538,0.00008934656,0.00005409323,0.00013918795,0.000037983675,0.00012598117,0.00007269264,0.00004409887],"category_scores_gemma":[0.0000027654505,0.00009670582,0.00004464363,0.00024497183,0.00014728116,0.0001372424,0.00011665005,0.00011368721,0.00038771392],"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":[0.00013048605,0.00021849468,0.023389827,0.000011130638,0.00006487802,0.000022066837,0.0016012414,0.0037313772,0.003236493,0.014090583,0.12031275,0.8331907],"study_design_scores_gemma":[0.00096910563,0.00054699584,0.017608847,0.000044450495,0.000038946597,0.0010934315,0.0001757674,0.7925619,0.0013009302,0.07231794,0.112654224,0.00068746856],"about_ca_topic_score_codex":0.00012758454,"about_ca_topic_score_gemma":0.00008356954,"teacher_disagreement_score":0.8325032,"about_ca_system_score_codex":0.00006900465,"about_ca_system_score_gemma":0.000008039615,"threshold_uncertainty_score":0.49834073},"labels":[],"label_agreement":null},{"id":"W1893905327","doi":"10.1111/cgf.12547","title":"Distilled Collections from Textual Image Queries","year":2015,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","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":"Simon Fraser University; Memorial University of Newfoundland","funders":"","keywords":"Computer science; Cluster analysis; Object (grammar); Outlier; Set (abstract data type); Segmentation; Artificial intelligence; Image (mathematics); Pattern recognition (psychology); Distillation; Semantics (computer science); Data mining; Computer vision","score_opus":0.021819899918912297,"score_gpt":0.2694150871458046,"score_spread":0.24759518722689228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1893905327","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":[0.0006293325,0.00026961634,0.99386865,0.0009760942,0.0006485928,0.00020617779,0.000025584792,0.0009882082,0.0023877302],"genre_scores_gemma":[0.19220771,0.00012685901,0.80401385,0.0023172607,0.00040877762,0.00005861679,0.00005075812,0.000042647374,0.0007735232],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99839836,0.00006917922,0.00029055335,0.00050573813,0.00032976634,0.00040638942],"domain_scores_gemma":[0.99842846,0.00013794113,0.000105998035,0.00077425985,0.00030863445,0.0002446878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016574706,0.00023068227,0.0002600555,0.0002489764,0.00032132247,0.00045284175,0.0009770325,0.00009778968,0.0000065947975],"category_scores_gemma":[0.000068125075,0.00021448289,0.00013577349,0.0013260152,0.000188615,0.0011049897,0.0007145862,0.0002470225,0.00003736808],"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":[0.00004424054,0.00024420704,0.0016661506,0.00000951795,0.00009059805,0.000108061286,0.0008439936,0.000013191013,0.00028117903,0.61803204,0.33173406,0.04693275],"study_design_scores_gemma":[0.0013361501,0.000793921,0.0011554904,0.00005855086,0.000022779375,0.00005843692,0.00015584349,0.08911994,0.012933697,0.52663964,0.36677423,0.00095132674],"about_ca_topic_score_codex":0.00011556488,"about_ca_topic_score_gemma":0.00004740409,"teacher_disagreement_score":0.19157837,"about_ca_system_score_codex":0.0000503329,"about_ca_system_score_gemma":0.000111627494,"threshold_uncertainty_score":0.8746358},"labels":[],"label_agreement":null},{"id":"W1916004676","doi":"10.1111/cgf.12721","title":"State of the Art in Artistic Editing of Appearance, Lighting and Material","year":2015,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Université de Montréal","funders":"","keywords":"Computer science; USable; Rendering (computer graphics); Human–computer interaction; Usability; Computer graphics; Multimedia; Graphics; Architecture; Task (project management); Computer graphics (images); Visual arts; Art","score_opus":0.015414600845098119,"score_gpt":0.25065461509341413,"score_spread":0.235240014248316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1916004676","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":[0.14217962,0.00008513209,0.85641795,0.00022429565,0.00076841563,0.00018091037,0.0000052467726,0.00006820866,0.00007019065],"genre_scores_gemma":[0.99033326,0.000019563031,0.009423535,0.000151114,0.000052751835,0.0000050617587,0.0000013981115,0.00000849941,0.000004800781],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986854,0.0000902577,0.000468143,0.00025525998,0.00027666686,0.00022423429],"domain_scores_gemma":[0.99905175,0.000041826563,0.00027147794,0.00040098114,0.00017156336,0.00006242173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005347628,0.00012727996,0.00023668067,0.00027900035,0.000050408336,0.000075963326,0.0006290443,0.000044274086,2.4319874e-7],"category_scores_gemma":[0.000018982795,0.00010353399,0.000060655195,0.00083591085,0.00013204399,0.00021672432,0.0007677891,0.00011464043,3.400257e-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":[0.00000800198,0.00008683634,0.041152816,0.000102636535,0.00001631049,0.000005038034,0.00087308744,0.000093747236,0.00017632959,0.9438826,0.0014313008,0.012171313],"study_design_scores_gemma":[0.0006330845,0.0002622624,0.021018043,0.0005187445,0.0000058267024,0.000025345416,0.000015729796,0.78893703,0.011376393,0.17509703,0.0018424605,0.0002680441],"about_ca_topic_score_codex":0.000022391623,"about_ca_topic_score_gemma":0.000034301767,"teacher_disagreement_score":0.84815365,"about_ca_system_score_codex":0.000008129406,"about_ca_system_score_gemma":0.00004449017,"threshold_uncertainty_score":0.42219934},"labels":[],"label_agreement":null},{"id":"W1926272372","doi":"10.1111/cgf.12321","title":"Feedback control for rotational movements in feature space","year":2014,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","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":"Autodesk (Canada); University of Toronto","funders":"","keywords":"Straddle; Generality; Control theory (sociology); Computer science; Controller (irrigation); Feature (linguistics); Inertia; Invariant (physics); Rotation (mathematics); Artificial intelligence; Control (management); Mathematics; Physics","score_opus":0.006826521434647334,"score_gpt":0.20438727342381519,"score_spread":0.19756075198916784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1926272372","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":[0.026212504,0.000030758256,0.9719282,0.0006531013,0.00040264247,0.00024455262,0.000011278011,0.00011396231,0.00040301605],"genre_scores_gemma":[0.9954816,0.000003703956,0.0034590354,0.0007498076,0.00013738427,0.000026076574,0.00004382609,0.00001626176,0.000082322214],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954975,0.00001133648,0.0001024865,0.00009677549,0.000080500526,0.00015913133],"domain_scores_gemma":[0.9998005,0.000037887734,0.000017911485,0.000076698205,0.00003285978,0.000034149805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009458236,0.000083289444,0.00009089465,0.000113126305,0.000039640447,0.00003393028,0.00007193889,0.0000552648,0.000007522232],"category_scores_gemma":[0.0000048172074,0.00008816828,0.000049541883,0.000093173934,0.0000100977995,0.000079521844,0.0000078899575,0.00008501301,0.000012033479],"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":[0.000023711551,0.00007942847,0.015802527,0.0001665625,0.00007263421,9.0575077e-7,0.000394972,0.06429653,0.000504415,0.8349282,0.06526395,0.018466178],"study_design_scores_gemma":[0.0012761435,0.00003886707,0.039982863,0.000026971273,0.0000016962244,4.641214e-7,0.00000690789,0.9258101,0.000054016986,0.0097861495,0.022909284,0.0001065572],"about_ca_topic_score_codex":7.4702393e-7,"about_ca_topic_score_gemma":0.000023067147,"teacher_disagreement_score":0.9692691,"about_ca_system_score_codex":0.000016034079,"about_ca_system_score_gemma":0.0000029627674,"threshold_uncertainty_score":0.3595398},"labels":[],"label_agreement":null},{"id":"W1931627313","doi":"10.1111/cgf.12607","title":"Controller Design for Multi‐Skilled Bipedal Characters","year":2015,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","field":"Engineering","cited_by":4,"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":"Computer science; Character animation; Robustness (evolution); Animation; Process (computing); Controller (irrigation); Control engineering; Set (abstract data type); Focus (optics); Artificial intelligence; Computer animation; Programming language; Computer graphics (images); Engineering","score_opus":0.0762428317368987,"score_gpt":0.261156324291411,"score_spread":0.18491349255451228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1931627313","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":[0.008920252,0.000055719174,0.98926383,0.00014112463,0.00081815396,0.0003792671,0.000004944634,0.00034531226,0.00007137183],"genre_scores_gemma":[0.96881044,0.000013847023,0.03015931,0.0005481982,0.00023787619,0.00005935659,0.000030939504,0.000040516297,0.000099537785],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993667,0.000020077317,0.00017151855,0.00012199359,0.00009287219,0.00022681842],"domain_scores_gemma":[0.9996369,0.000037690235,0.000026858754,0.000098857214,0.00008588543,0.000113834765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018605065,0.0001241808,0.00015022063,0.00013663541,0.000056271012,0.00005552551,0.00010617665,0.00007150207,0.0000034628765],"category_scores_gemma":[0.000010560598,0.0001203174,0.00009028614,0.00009083058,0.000019683626,0.0001227612,0.000014942608,0.00008102461,0.000039670358],"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":[0.0004437325,0.0006389316,0.0032990342,0.00038929915,0.00096821267,0.000019333249,0.006146716,0.122687325,0.0036911485,0.33271328,0.43578464,0.09321834],"study_design_scores_gemma":[0.0022383104,0.00008202246,0.0011261763,0.000012625686,0.000008552438,0.0000020232023,0.000017314474,0.98253244,0.00012836023,0.0010380119,0.012658027,0.0001561486],"about_ca_topic_score_codex":6.910417e-7,"about_ca_topic_score_gemma":0.0000027978358,"teacher_disagreement_score":0.9598902,"about_ca_system_score_codex":0.00002268556,"about_ca_system_score_gemma":0.000009759604,"threshold_uncertainty_score":0.49064013},"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":"W1943978980","doi":"10.1111/cgf.12559","title":"Skeleton‐Intrinsic Symmetrization of Shapes","year":2015,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Simon Fraser University","funders":"","keywords":"Symmetrization; Homogeneous space; Skeleton (computer programming); Matching (statistics); Shape analysis (program analysis); Rotational symmetry; Mathematics; Geometry; Computer science; Mathematical analysis; Static analysis","score_opus":0.01727102756771549,"score_gpt":0.2105055473655927,"score_spread":0.19323451979787723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1943978980","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":[0.09855972,0.0005732063,0.8998131,0.000079704536,0.00028332754,0.000042869768,0.0000043988857,0.00021830614,0.0004253434],"genre_scores_gemma":[0.99720657,0.00006106075,0.0025281764,0.000068059104,0.00008794021,0.0000018778455,0.000015872707,0.000018709497,0.000011713541],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934834,0.000011728969,0.00020196318,0.00011092792,0.00016239162,0.0001646287],"domain_scores_gemma":[0.9996111,0.000021739934,0.00002992861,0.00014254761,0.000114875395,0.00007980736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011361875,0.00010084471,0.00017072399,0.00021566992,0.000023290524,0.000019992985,0.00014095905,0.00006153331,0.0000027484436],"category_scores_gemma":[0.000008872243,0.00009983941,0.00009638131,0.000607345,0.0000226028,0.00007568662,0.000037760205,0.00008566358,0.00001136758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008621545,0.00009628888,0.014320434,0.00017787033,0.000410279,0.000008265376,0.0005385164,0.79204214,0.00016769576,0.039232697,0.016730258,0.13626693],"study_design_scores_gemma":[0.00019091438,0.000036024197,0.0003365649,0.000021452677,0.000023369148,0.0000016632827,0.000015523534,0.99483997,0.0003248004,0.0027094618,0.0013832567,0.00011699818],"about_ca_topic_score_codex":0.000012051604,"about_ca_topic_score_gemma":0.000008595159,"teacher_disagreement_score":0.8986469,"about_ca_system_score_codex":0.000013328794,"about_ca_system_score_gemma":0.000009142106,"threshold_uncertainty_score":0.4071333},"labels":[],"label_agreement":null},{"id":"W1958212263","doi":"10.1111/cgf.12260","title":"Implicit Decals: Interactive Editing of Repetitive Patterns on Surfaces","year":2013,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Microsoft (Canada); University of Victoria; University of Calgary","funders":"Agence Nationale de la Recherche","keywords":"Computer science; Flexibility (engineering); Parametrization (atmospheric modeling); Orientation (vector space); Texture mapping; Texture (cosmology); Texture synthesis; Computer graphics (images); Function (biology); Component (thermodynamics); Displacement mapping; Artificial intelligence; Computer vision; Segmentation; Mathematics; Image texture; Geometry; Image (mathematics); Image segmentation","score_opus":0.014260693956115783,"score_gpt":0.27976163354375455,"score_spread":0.26550093958763876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1958212263","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":[0.100892626,0.000032125503,0.89660233,0.00060458854,0.000745267,0.0003929667,0.000012103413,0.00038352073,0.0003344507],"genre_scores_gemma":[0.98579425,0.00005659996,0.012429922,0.0014824294,0.00013996831,0.000048784146,0.000012420265,0.000024539231,0.0000110838355],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99771756,0.00013198878,0.0005901687,0.0006745169,0.000426917,0.00045882797],"domain_scores_gemma":[0.99763757,0.00037721024,0.00040539392,0.0008529195,0.00058251893,0.00014437437],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00029197033,0.0003069694,0.00037962702,0.0006022635,0.00016763322,0.0003141904,0.0012918501,0.00012423279,0.000019631041],"category_scores_gemma":[0.000023386372,0.00028505104,0.00023644321,0.00081298983,0.000091790105,0.0008050905,0.00084747595,0.00029800582,0.000016875261],"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":[0.0000033093097,0.00017174093,0.018479519,0.000032095395,0.00006384822,0.000005330279,0.00055321783,0.000023043547,0.000084529864,0.95474017,0.003994061,0.021849139],"study_design_scores_gemma":[0.00057945045,0.0013549558,0.05429658,0.00060335035,0.00001295269,0.00002681227,0.00012410911,0.7958023,0.021146672,0.12304565,0.002240298,0.0007668875],"about_ca_topic_score_codex":0.00018458023,"about_ca_topic_score_gemma":0.00001704003,"teacher_disagreement_score":0.88490164,"about_ca_system_score_codex":0.000026616794,"about_ca_system_score_gemma":0.000031776995,"threshold_uncertainty_score":0.9999602},"labels":[],"label_agreement":null},{"id":"W1963962785","doi":"10.1111/j.1467-8659.2012.03178.x","title":"Mean Curvature Skeletons","year":2012,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":242,"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":"Skeletonization; Medial axis; Curvature; Discretization; Geometry; Computation; Topology (electrical circuits); Voronoi diagram; Mathematics; Flow (mathematics); Computer science; Algorithm; Artificial intelligence; Mathematical analysis","score_opus":0.010155926949639814,"score_gpt":0.20695167995211547,"score_spread":0.19679575300247565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1963962785","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":[0.066648625,0.0029649867,0.9265145,0.00028240864,0.0012837317,0.00005559037,0.000009168539,0.0007398948,0.0015010933],"genre_scores_gemma":[0.99605435,0.000077817116,0.0030352557,0.00032948342,0.00040610574,0.0000036491563,0.000019442186,0.000029317074,0.00004460365],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992406,0.000010790563,0.00012912754,0.00010188728,0.00011513422,0.00040246206],"domain_scores_gemma":[0.9995661,0.000018863542,0.000013142804,0.00024670205,0.000025547832,0.000129678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000095259566,0.00013544748,0.00013876644,0.00014134706,0.00008078325,0.000030831146,0.00015660096,0.000091257796,0.000013364472],"category_scores_gemma":[0.000001462799,0.00012789632,0.00014726004,0.000305864,0.000019550866,0.00012810944,0.00004238901,0.0002242776,0.0000552231],"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":[0.0000064609376,0.0003538763,0.11109923,0.0002959418,0.0017950344,0.000017398932,0.0039497707,0.15778199,0.00050077797,0.29430765,0.34027925,0.08961262],"study_design_scores_gemma":[0.00011823245,0.000011700031,0.0011124631,0.000021130576,0.000049828803,0.0000065594986,0.0000180688,0.9474079,0.00013165922,0.0014536963,0.049385734,0.0002830174],"about_ca_topic_score_codex":0.0000044429985,"about_ca_topic_score_gemma":0.000011347254,"teacher_disagreement_score":0.9294057,"about_ca_system_score_codex":0.000011131025,"about_ca_system_score_gemma":0.0000031766658,"threshold_uncertainty_score":0.521546},"labels":[],"label_agreement":null},{"id":"W1964848141","doi":"10.1111/cgf.12444","title":"Freeform Honeycomb Structures","year":2014,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":34,"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; Polygon mesh; Hexagonal crystal system; Torsion (gastropod); Honeycomb structure; Geometry; Computation; Computer graphics (images); Topology (electrical circuits); Engineering drawing; Computational science; Mathematics; Algorithm; Engineering; Combinatorics","score_opus":0.005431785944638524,"score_gpt":0.17928919568520793,"score_spread":0.1738574097405694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964848141","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":[0.08016318,0.00017368533,0.91729116,0.00013122357,0.00061280985,0.000032514832,0.0000036341803,0.00049936393,0.0010924018],"genre_scores_gemma":[0.99552435,0.00003055827,0.003811716,0.00033212907,0.00023601107,0.0000024587457,0.000015593034,0.000026830083,0.000020366655],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929804,0.000009855249,0.00015365817,0.00014543424,0.00012734455,0.00026564428],"domain_scores_gemma":[0.9995656,0.000022467308,0.000016311082,0.00028846294,0.000029125824,0.000078020414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000077987446,0.00014240487,0.00016550507,0.0001597016,0.00008334037,0.000053255128,0.00021428546,0.000076605465,0.000011788078],"category_scores_gemma":[0.0000026859173,0.00012744864,0.00013184139,0.00020653514,0.0000261718,0.00006314063,0.00004618139,0.00016345744,0.000022962447],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000047920767,0.0000390964,0.010947715,0.00015450081,0.00046577002,0.0000068047725,0.00035534453,0.5418185,0.00018774826,0.22708365,0.050899077,0.168037],"study_design_scores_gemma":[0.00012660753,0.000020427717,0.0007427245,0.000009783717,0.000015325788,0.0000029637486,0.000004625498,0.9656995,0.0001251222,0.026634188,0.0064481245,0.00017059562],"about_ca_topic_score_codex":0.000010674414,"about_ca_topic_score_gemma":0.000023178138,"teacher_disagreement_score":0.91536117,"about_ca_system_score_codex":0.000008979307,"about_ca_system_score_gemma":0.0000028466789,"threshold_uncertainty_score":0.51972044},"labels":[],"label_agreement":null},{"id":"W1969076082","doi":"10.1111/j.1467-8659.2008.01283.x","title":"Deformation‐Driven Shape Correspondence","year":2008,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":168,"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; Simon Fraser University","funders":"","keywords":"Polygon mesh; Computer science; Tree traversal; Shape analysis (program analysis); Deformation (meteorology); Distortion (music); Artificial intelligence; Matching (statistics); Correspondence problem; Free-form deformation; Feature (linguistics); Scale (ratio); Algorithm; Computer vision; Mathematics; Computer graphics (images)","score_opus":0.01542678953748521,"score_gpt":0.19960354010212805,"score_spread":0.18417675056464283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969076082","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":[0.32425982,0.00020430496,0.6741866,0.00008427459,0.00037304327,0.000042271848,0.000004702362,0.00044581475,0.00039920217],"genre_scores_gemma":[0.99651736,0.00018022963,0.0028477113,0.00026958573,0.00008679284,0.000004837947,0.000017788783,0.000018981009,0.0000567023],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926853,0.000010852705,0.00018784941,0.000124856,0.0001636573,0.00024424502],"domain_scores_gemma":[0.99960965,0.000025936557,0.000020969796,0.00021658595,0.000052255502,0.00007457826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000053514348,0.00012539684,0.00013994535,0.00020339071,0.0001608253,0.000025406713,0.00021302856,0.00006421531,0.000027042684],"category_scores_gemma":[0.0000029871917,0.00012340608,0.000119078206,0.00035372112,0.00004071585,0.00016603505,0.000045515197,0.00015375322,0.00013171406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008800286,0.000052980136,0.02261491,0.000067177054,0.00020774631,0.00006544257,0.0012640359,0.9039547,0.000130539,0.005839655,0.049232274,0.016561737],"study_design_scores_gemma":[0.00010769389,0.00001609208,0.0014057943,0.000015899988,0.00000912458,0.00003489769,0.000008128932,0.99583006,0.000053559655,0.00042724953,0.0019360677,0.00015546214],"about_ca_topic_score_codex":0.0000037479417,"about_ca_topic_score_gemma":0.0000055164464,"teacher_disagreement_score":0.67225754,"about_ca_system_score_codex":0.000015819225,"about_ca_system_score_gemma":0.000010508565,"threshold_uncertainty_score":0.5032354},"labels":[],"label_agreement":null},{"id":"W1969437191","doi":"10.1111/j.1467-8659.2008.01322.x","title":"Shape‐simplifying Image Abstraction","year":2008,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Optech (Canada)","funders":"","keywords":"Abstraction; Computer science; Mean curvature flow; Feature (linguistics); Curvature; Simple (philosophy); Masking (illustration); Principal curvature; Algorithm; Image (mathematics); Flow (mathematics); Computer vision; Artificial intelligence; Mean curvature; Mathematics; Geometry","score_opus":0.0294747596113384,"score_gpt":0.28299245761954833,"score_spread":0.25351769800820995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969437191","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":[0.014788818,0.00009016854,0.98167247,0.0005501954,0.0008823494,0.0002179381,0.00000408121,0.0014040649,0.0003899435],"genre_scores_gemma":[0.88084376,0.00032939095,0.11590296,0.0025419178,0.00026470708,0.000028508875,0.000024730862,0.000037076985,0.000026963795],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978577,0.00006148762,0.00045689396,0.00066476996,0.0004368754,0.0005222616],"domain_scores_gemma":[0.9983927,0.00009079282,0.00019164999,0.00087106146,0.0002692234,0.00018455765],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025586662,0.00029059005,0.00026216297,0.0005994989,0.0006282941,0.00029996998,0.0012662037,0.00014373107,0.000009986926],"category_scores_gemma":[0.000007968609,0.00030031,0.00024224364,0.0011756765,0.00013612,0.0011633112,0.00065540907,0.00031787608,0.000026033826],"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":[0.0000027083279,0.00012270555,0.003298075,0.00001763377,0.000028614393,0.00006429362,0.0002432998,0.0000070191495,0.00012475999,0.9608309,0.022099229,0.013160726],"study_design_scores_gemma":[0.00040240953,0.00021819942,0.017164286,0.000039189035,0.000005969677,0.0003726613,0.0000046713953,0.90137446,0.0017502315,0.045947608,0.032118615,0.00060171174],"about_ca_topic_score_codex":0.000023743782,"about_ca_topic_score_gemma":0.0000047636495,"teacher_disagreement_score":0.9148833,"about_ca_system_score_codex":0.000028840946,"about_ca_system_score_gemma":0.00006433484,"threshold_uncertainty_score":0.9999449},"labels":[],"label_agreement":null},{"id":"W1970320385","doi":"10.1111/j.1467-8659.2010.01660.x","title":"Optical Image Processing Using Light Modulation Displays","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Optical Imaging Technologies","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":"University of British Columbia","funders":"Nvidia","keywords":"Computer science; Computer vision; Artificial intelligence; Monocular; Filter (signal processing); Contrast (vision); Image processing; Human visual system model; Modulation (music); Computer graphics (images); Image (mathematics)","score_opus":0.008851680451323,"score_gpt":0.23906905574805248,"score_spread":0.23021737529672948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970320385","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":[0.1913526,0.000041116975,0.80612105,0.0002931468,0.000519751,0.00008881442,0.0000014499819,0.0012920174,0.0002900316],"genre_scores_gemma":[0.6543213,0.0000034826521,0.3455187,0.00003493591,0.00008024863,0.0000037878865,0.000003211822,0.000032723085,0.0000016241738],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905276,0.0000035724076,0.0001941276,0.00022020012,0.00013771554,0.00039162868],"domain_scores_gemma":[0.99948925,0.000028596975,0.000025544912,0.00032062415,0.00006569965,0.0000702966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000060379305,0.00018257134,0.00015296022,0.00016913202,0.00012024055,0.000119376695,0.00025400173,0.00015090346,0.0000025178626],"category_scores_gemma":[0.000024038396,0.00017978226,0.000058583086,0.00032679804,0.00015710978,0.00047559466,0.00014694393,0.00055178395,0.000009293754],"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":[0.000009891859,0.00011569495,0.0050571463,0.00027691826,0.000065378415,0.00006552341,0.00015134379,0.040115826,0.45460042,0.33103922,0.0011468342,0.1673558],"study_design_scores_gemma":[0.00011695178,0.000011364782,0.00097280345,0.000028351084,0.000008739025,0.000026610229,0.0000059412746,0.9668402,0.009613962,0.021386774,0.00076035154,0.00022792038],"about_ca_topic_score_codex":6.141719e-7,"about_ca_topic_score_gemma":0.0000034813313,"teacher_disagreement_score":0.92672443,"about_ca_system_score_codex":0.00001990253,"about_ca_system_score_gemma":0.000007745477,"threshold_uncertainty_score":0.73313075},"labels":[],"label_agreement":null},{"id":"W1970846581","doi":"10.1111/j.1467-8659.2005.00904.x","title":"Algorithms for Interactive Editing of Level Set Models","year":2005,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Engineering Link (Canada)","funders":"","keywords":"Computer science; Set (abstract data type); Bounding overwatch; Representation (politics); Computation; Process (computing); Theoretical computer science; Algorithm; Artificial intelligence; Programming language","score_opus":0.0741288387728379,"score_gpt":0.3319061049220171,"score_spread":0.25777726614917923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970846581","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":[0.0007996443,0.0000950129,0.9967812,0.0007727654,0.00069319824,0.00040933484,0.000048640577,0.00030701762,0.00009320634],"genre_scores_gemma":[0.53029627,0.000038979146,0.46794942,0.0011434114,0.0004418855,0.00005325802,0.00003172935,0.000026456415,0.000018589946],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981266,0.000049930622,0.000543943,0.00054611237,0.00031734165,0.0004160187],"domain_scores_gemma":[0.9982082,0.0001834686,0.00030888763,0.0006369567,0.0005524414,0.00011001185],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004249638,0.00024958904,0.000319118,0.00054993713,0.0001766098,0.00016342005,0.0012448867,0.00011911374,0.0000012844712],"category_scores_gemma":[0.000011614996,0.0002567281,0.00028341106,0.00067701953,0.00007750629,0.0008429937,0.0006816377,0.00016948409,0.0000011951522],"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":[0.0000048778898,0.00009283307,0.00015846867,0.000025216417,0.000046358655,6.7284566e-7,0.00063278596,0.00041915872,0.000014087976,0.92626864,0.008253172,0.06408375],"study_design_scores_gemma":[0.00039108016,0.00024731443,0.00008699329,0.00006312876,0.000006568816,0.000010122402,0.000014619276,0.87618345,0.0031381312,0.110585034,0.0090364255,0.00023712871],"about_ca_topic_score_codex":0.000013805535,"about_ca_topic_score_gemma":0.000014196471,"teacher_disagreement_score":0.8757643,"about_ca_system_score_codex":0.000025123485,"about_ca_system_score_gemma":0.000056220222,"threshold_uncertainty_score":0.9999885},"labels":[],"label_agreement":null},{"id":"W1973521074","doi":"10.1111/1467-8659.00526","title":"Modeling Stochastic Dynamical Systems for Interactive Simulation","year":2001,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Music Technology and Sound Studies","field":"Computer Science","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 British Columbia","funders":"","keywords":"Computer science; Animation; Computer graphics (images); Candle; Markov chain; Particle system; Computer graphics; Graphics; Generator (circuit theory); State (computer science); Simulation; Algorithm; Machine learning","score_opus":0.025474752253628732,"score_gpt":0.2749072940043674,"score_spread":0.2494325417507387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973521074","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":[0.020723954,0.00021806735,0.97612935,0.0006454418,0.0015174468,0.00034421528,0.0000028535217,0.000371617,0.000047024896],"genre_scores_gemma":[0.9913412,0.000011369383,0.0081653055,0.00027858652,0.00011153628,0.000053505537,0.0000050693693,0.00000961514,0.000023815594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988415,0.000029118028,0.00024785238,0.00039071045,0.00014177553,0.00034903124],"domain_scores_gemma":[0.9990399,0.00028238245,0.00006296669,0.00038643746,0.00017985045,0.000048457663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016562743,0.00015820672,0.00021405058,0.00022295942,0.0003296589,0.000121496625,0.00055362267,0.00013088186,4.2450412e-7],"category_scores_gemma":[0.000029449706,0.00014769376,0.000109483044,0.00031179478,0.000056449964,0.00032444185,0.00030388587,0.00018755301,0.0000051733236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013548308,0.000036464116,0.00010759199,0.000009166004,0.00004820831,0.0000032880464,0.00033331424,0.55441594,8.9275284e-7,0.44169548,0.0001967409,0.003139362],"study_design_scores_gemma":[0.00029326198,0.00010758938,0.00004387613,0.000030507443,0.0000068116483,0.000016258418,0.00004257324,0.95139706,2.7028437e-7,0.046966415,0.0009359159,0.00015944628],"about_ca_topic_score_codex":0.000012492878,"about_ca_topic_score_gemma":0.000014086163,"teacher_disagreement_score":0.97061723,"about_ca_system_score_codex":0.000035272416,"about_ca_system_score_gemma":0.000017432909,"threshold_uncertainty_score":0.6022777},"labels":[],"label_agreement":null},{"id":"W1974296330","doi":"10.1111/j.1467-8659.2009.01382.x","title":"Wrinkling Captured Garments Using Space‐Time Data‐Driven Deformation","year":2009,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":65,"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; Position (finance); Motion capture; Computer graphics (images); Deformation (meteorology); Wrinkle; Computer vision; Artificial intelligence; Motion (physics); Geology","score_opus":0.02232269024593884,"score_gpt":0.23315296074579467,"score_spread":0.21083027049985584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974296330","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":[0.10663044,0.00021188415,0.89220417,0.00015806039,0.00024775046,0.00007462356,0.000016071903,0.00030444955,0.000152552],"genre_scores_gemma":[0.9845487,0.000046606398,0.014790296,0.00021783206,0.00015396971,6.1907605e-7,0.00021093464,0.000020972835,0.0000101088035],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990237,0.000015066368,0.00024112024,0.00021219248,0.00018513208,0.0003227844],"domain_scores_gemma":[0.9993486,0.0000109356,0.000042064916,0.00047692345,0.000042062093,0.000079409874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000121919635,0.00017192011,0.00019181866,0.00023392786,0.00012902795,0.0000939324,0.00034316594,0.00008847735,0.000005646287],"category_scores_gemma":[0.000002554358,0.00017532585,0.0000858519,0.00030610716,0.000013277269,0.00034480344,0.00008670172,0.00017382664,0.000027197317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002526397,0.000026935837,0.0004983627,0.000021032069,0.00011741786,0.000006379688,0.00014493958,0.99031377,0.0006944441,0.00050918135,0.0021692798,0.005495717],"study_design_scores_gemma":[0.00017354224,0.000016517639,0.000141451,0.000050197734,0.000047680158,0.0000075951757,0.000010549581,0.9980257,0.00010768241,0.0007944142,0.00042266515,0.00020199144],"about_ca_topic_score_codex":0.000007682044,"about_ca_topic_score_gemma":0.000004974505,"teacher_disagreement_score":0.87791824,"about_ca_system_score_codex":0.000040060375,"about_ca_system_score_gemma":0.000009102996,"threshold_uncertainty_score":0.71495813},"labels":[],"label_agreement":null},{"id":"W1977107854","doi":"10.1111/j.1467-8659.2007.01041.x","title":"Rendering Plasma Phenomena: Applications and Challenges","year":2007,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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; University of Waterloo","funders":"","keywords":"Rendering (computer graphics); Outreach; Computer science; Plasma; Visualization; Data science; Physics; Computer graphics (images); Artificial intelligence","score_opus":0.03379998586144119,"score_gpt":0.27313131456065565,"score_spread":0.23933132869921447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977107854","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":[0.0006944829,0.0019439469,0.99437094,0.00092703925,0.0002475298,0.00028078503,0.0000013836599,0.000764223,0.00076969765],"genre_scores_gemma":[0.81583434,0.0070486316,0.17471434,0.0016795838,0.0005358661,0.000094263836,0.000011566901,0.000052252166,0.000029168532],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983146,0.000028611692,0.0003469228,0.00060455233,0.0002521548,0.00045313642],"domain_scores_gemma":[0.99874556,0.00013845427,0.000120887744,0.00068013655,0.00012528875,0.00018970041],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005618979,0.00022187208,0.00020208648,0.00054087036,0.00030014798,0.00022463626,0.0008117892,0.000109130604,8.948317e-7],"category_scores_gemma":[0.0000028466827,0.00023004797,0.00008151964,0.00071475573,0.0000965311,0.00037697642,0.0007954718,0.0001804933,0.000003467771],"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":[0.0000011060442,0.000039156104,0.00033592866,0.000026334103,0.000015843227,0.0000034766488,0.0002250512,0.0000012704324,0.0000065920535,0.8005106,0.00016669891,0.19866793],"study_design_scores_gemma":[0.0005935608,0.0003281644,0.007091718,0.0000654081,0.000011494727,0.00010655602,0.000064039494,0.42197955,0.00084643456,0.21062012,0.35746658,0.00082636543],"about_ca_topic_score_codex":0.00000534488,"about_ca_topic_score_gemma":0.000027809941,"teacher_disagreement_score":0.81965655,"about_ca_system_score_codex":0.000017311735,"about_ca_system_score_gemma":0.000019767502,"threshold_uncertainty_score":0.9381084},"labels":[],"label_agreement":null},{"id":"W1977982787","doi":"10.1111/j.1467-8659.2004.00766.x","title":"Implicit Visualization and Inverse Modeling of Growing Trees","year":2004,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","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":"University of Calgary","funders":"","keywords":"Computer science; Visualization; Tree (set theory); Computer graphics; Animation; Tree structure; Theoretical computer science; Artificial intelligence; Computer graphics (images); Binary tree; Algorithm; Mathematics","score_opus":0.015244625809607963,"score_gpt":0.21669692917251995,"score_spread":0.20145230336291198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977982787","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":[0.9903036,0.00010034012,0.008657922,0.00069365505,0.000046612113,0.00007434459,0.0000041303015,0.00009839661,0.00002104038],"genre_scores_gemma":[0.9993156,0.000076205506,0.00016167921,0.00040433955,0.000027195749,0.0000027500148,0.000010607857,7.3810077e-7,8.696307e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994915,0.000010747429,0.00013743843,0.00014634403,0.00006278881,0.00015117107],"domain_scores_gemma":[0.99982977,0.000022263312,0.000043571392,0.000037494432,0.000036328267,0.000030546904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000070782175,0.0000761376,0.00011604608,0.00002502186,0.00011796401,0.000013531988,0.00011113041,0.0000977614,0.000003341696],"category_scores_gemma":[0.0000041296344,0.000033868888,0.000048385227,0.00020412476,0.000054598935,0.00012229754,0.00007762988,0.000060512233,0.0000011043663],"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":[0.000027970791,0.00012509181,0.048515536,0.000020128053,0.000048185157,0.0000049552195,0.00020844431,0.001594758,0.054091144,0.8668942,0.000052451534,0.028417144],"study_design_scores_gemma":[0.0016219486,0.0011524651,0.053233758,0.00017030071,0.000064659165,0.000036542155,0.0008820778,0.6970248,0.004594411,0.240048,0.00056703924,0.0006039796],"about_ca_topic_score_codex":0.00009659999,"about_ca_topic_score_gemma":0.0006550564,"teacher_disagreement_score":0.69543004,"about_ca_system_score_codex":0.0000041905896,"about_ca_system_score_gemma":0.000002179022,"threshold_uncertainty_score":0.13811332},"labels":[],"label_agreement":null},{"id":"W1980777873","doi":"10.1111/j.1467-8659.2009.01359.x","title":"Energy Aware Color Sets","year":2009,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":52,"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":"Computer science; Lightness; Color space; Rendering (computer graphics); Artificial intelligence; Visualization; Categorical variable; Energy (signal processing); Computer vision; Color difference; Set (abstract data type); Color quantization; Energy consumption; Computer graphics (images); Mathematics; Color image; Image processing; Statistics; Image (mathematics)","score_opus":0.008643286507194129,"score_gpt":0.2442100221456878,"score_spread":0.23556673563849367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980777873","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":[0.11611144,0.000032014683,0.8703404,0.0062583815,0.00030685042,0.00015931872,0.000031184645,0.00012491012,0.006635516],"genre_scores_gemma":[0.99740535,0.0000018563753,0.0006600412,0.0016133835,0.00015369926,0.0000147528535,0.00003377313,0.0000041597204,0.00011296206],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99934065,0.0000082091055,0.00011100603,0.00020206928,0.00009660366,0.00024146948],"domain_scores_gemma":[0.99958646,0.000018565654,0.00004081006,0.00023236303,0.000042777425,0.00007901304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000036990583,0.00009293147,0.00009099531,0.00006055112,0.00020299644,0.00006080861,0.0002494734,0.000024179215,0.000044356366],"category_scores_gemma":[1.1554364e-7,0.00008696489,0.0000892288,0.0003313331,0.000038988088,0.00009735245,0.000051034873,0.000068663365,0.000023379422],"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":[0.0000012068122,0.00008105315,0.0041983146,3.9796362e-7,0.0000075800285,5.468234e-7,0.000029147846,0.000028269433,0.000038034384,0.8507237,0.019085107,0.12580667],"study_design_scores_gemma":[0.00046763974,0.0002573189,0.01624093,0.000015679381,0.000017437085,0.0000025550896,0.00007956077,0.22591574,0.000938588,0.4174039,0.33820945,0.00045119613],"about_ca_topic_score_codex":0.000030013807,"about_ca_topic_score_gemma":0.000007440517,"teacher_disagreement_score":0.88129395,"about_ca_system_score_codex":0.000004826561,"about_ca_system_score_gemma":0.000026060885,"threshold_uncertainty_score":0.3546325},"labels":[],"label_agreement":null},{"id":"W1982461502","doi":"10.1111/j.1467-8659.2011.01894.x","title":"Blur‐Aware Image Downsampling","year":2011,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Image Processing Techniques and Applications","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":"University of British Columbia","funders":"","keywords":"Upsampling; Artificial intelligence; Computer vision; Image (mathematics); Computer science; Image restoration; Matching (statistics); Perception; Image resolution; Image processing; Mathematics; Psychology","score_opus":0.02151971162249053,"score_gpt":0.22684407313655347,"score_spread":0.20532436151406294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982461502","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":[0.002448139,0.000110512694,0.99296457,0.000060592993,0.00015971542,0.000101087244,0.0000066515604,0.0013816783,0.0027670753],"genre_scores_gemma":[0.7449634,0.00006093947,0.25450912,0.0002510363,0.000092263865,0.000045096178,0.000014825456,0.000046444413,0.00001686006],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937767,0.000003731566,0.00014683085,0.00015023832,0.0000675931,0.00025394475],"domain_scores_gemma":[0.9995766,0.000010025271,0.00002063678,0.00028361275,0.000052492116,0.000056591507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005585243,0.0001271304,0.00009944715,0.00010155318,0.0001095545,0.000050420793,0.0002576945,0.0000651308,0.000022298284],"category_scores_gemma":[0.0000010493735,0.00013008616,0.00006614899,0.00022751275,0.000049744453,0.00014204702,0.0000739775,0.00016643145,0.000033095228],"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":[0.000017696297,0.0004350127,0.005868821,0.00086636964,0.0002917847,0.00007010536,0.0030374334,0.00048076836,0.006586786,0.54850805,0.18254313,0.25129405],"study_design_scores_gemma":[0.00033661924,0.00007755658,0.0020602338,0.00013152558,0.000036448884,0.00004756606,0.000044354907,0.8003667,0.02528214,0.11899197,0.051706057,0.0009188291],"about_ca_topic_score_codex":0.000007785837,"about_ca_topic_score_gemma":0.0000027115473,"teacher_disagreement_score":0.7998859,"about_ca_system_score_codex":0.000009826593,"about_ca_system_score_gemma":0.000005871591,"threshold_uncertainty_score":0.530476},"labels":[],"label_agreement":null},{"id":"W1983187666","doi":"10.1111/j.1467-8659.2008.01306.x","title":"Tangential Distance Fields for Mesh Silhouette Problems","year":2009,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Robotics and Sensor-Based Localization","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":"Silhouette; Tangent; Tangent space; Computer science; Triangle mesh; Surface (topology); Mathematics; Point (geometry); Algorithm; Computer vision; Geometry; Artificial intelligence; Polygon mesh","score_opus":0.009094161460891677,"score_gpt":0.20245194351045023,"score_spread":0.19335778204955856,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983187666","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":[0.003336582,0.00020854657,0.99430907,0.0006435643,0.00078088266,0.0002622305,0.000010831175,0.00024295192,0.00020532678],"genre_scores_gemma":[0.9923404,0.00006954935,0.006342128,0.0008656188,0.0002475578,0.00001118714,0.000061768216,0.000024410856,0.000037400347],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992659,0.000006588758,0.00018382265,0.00015799707,0.00010496361,0.00028073823],"domain_scores_gemma":[0.999651,0.000022621598,0.00002350181,0.00019176648,0.00005178609,0.00005930414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000052054187,0.00013421112,0.00013285928,0.00007510781,0.00008448571,0.00006118371,0.00013390707,0.00010010331,0.0000031879358],"category_scores_gemma":[0.0000025186064,0.00013809986,0.00010056413,0.00016763968,0.000017058625,0.00007494748,0.000010541223,0.000075173666,0.0000026745242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014684497,0.00006805514,0.00047695468,0.00014136161,0.00006900138,0.0000055664773,0.0001888751,0.59813225,0.00030324832,0.3107482,0.068050325,0.021801492],"study_design_scores_gemma":[0.00030081972,0.00011663949,0.00028803575,0.000026743892,0.000012300366,0.0000016375357,0.0000021416715,0.95812374,0.00034767872,0.013019784,0.02756923,0.00019122212],"about_ca_topic_score_codex":0.0000011634659,"about_ca_topic_score_gemma":0.00001928602,"teacher_disagreement_score":0.9890038,"about_ca_system_score_codex":0.000013259339,"about_ca_system_score_gemma":0.0000050274452,"threshold_uncertainty_score":0.5631549},"labels":[],"label_agreement":null},{"id":"W1985127753","doi":"10.1111/j.1467-8659.2011.02015.x","title":"All‐Hex Mesh Generation via Volumetric PolyCube Deformation","year":2011,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":141,"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":"Hexahedron; Polygon mesh; Distortion (music); Mesh generation; Grid; Computer science; Algorithm; Computational science; Computer graphics (images); Geometry; Mathematics; Finite element method; Engineering; Structural engineering","score_opus":0.042389596252905656,"score_gpt":0.26201256202573375,"score_spread":0.21962296577282808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985127753","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":[0.0057548517,0.00013139393,0.99082273,0.0002643815,0.0014128548,0.00033262855,0.0000022790766,0.0010004939,0.00027836487],"genre_scores_gemma":[0.8865038,0.00013572635,0.10959108,0.0033783766,0.00024149656,0.00004030413,0.00005760967,0.000031128948,0.000020458461],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975893,0.00012273146,0.0006143407,0.0006304934,0.0004937923,0.0005493431],"domain_scores_gemma":[0.99814546,0.000035433048,0.00027882287,0.000994216,0.00034142684,0.00020461559],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00049394753,0.00032934156,0.0002745569,0.0013121559,0.00031995235,0.000371919,0.0014353821,0.00019657363,0.000014632997],"category_scores_gemma":[0.000007931975,0.0003297477,0.00023083473,0.002210301,0.0000707777,0.0014715025,0.0006772269,0.00024054259,0.00003564842],"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":[0.0000028786865,0.00014238888,0.002913073,0.000012742837,0.000045946894,0.000006197706,0.0007158861,0.0000025589734,0.0000562192,0.94804984,0.008276767,0.039775517],"study_design_scores_gemma":[0.00028302817,0.00029981005,0.0040963823,0.000015056461,0.000012957952,0.000042558167,0.0000040148857,0.9405543,0.0035830762,0.04354283,0.007113629,0.0004523403],"about_ca_topic_score_codex":0.00007732337,"about_ca_topic_score_gemma":0.00002914077,"teacher_disagreement_score":0.94055176,"about_ca_system_score_codex":0.0000420917,"about_ca_system_score_gemma":0.000046487363,"threshold_uncertainty_score":0.9999155},"labels":[],"label_agreement":null},{"id":"W1988179100","doi":"10.1111/j.1467-8659.2010.01772.x","title":"Globally Consistent Space‐Time Reconstruction","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":46,"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":"Sequence (biology); Computer science; Computer vision; Adjacency list; Geometry; Process (computing); Artificial intelligence; Motion (physics); Object (grammar); Space (punctuation); Surface reconstruction; Algorithm; Computer graphics (images); Topology (electrical circuits); Surface (topology); Mathematics; Combinatorics","score_opus":0.005984747922355747,"score_gpt":0.2243985980027966,"score_spread":0.21841385008044084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988179100","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":[0.0054956567,0.000048581867,0.982921,0.0045810165,0.003711241,0.0001410485,0.0000022504482,0.00044599382,0.0026531962],"genre_scores_gemma":[0.15103157,0.000030491366,0.84386235,0.004524471,0.00027757804,0.000007463074,0.000005169331,0.000022354465,0.00023857533],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99854034,0.00003224808,0.00025436026,0.00048583455,0.00027600914,0.0004111857],"domain_scores_gemma":[0.99872094,0.000059362363,0.00011870579,0.000754606,0.00016431345,0.00018208398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020447781,0.00018707562,0.00018442755,0.00019602668,0.00024785326,0.00030420057,0.00088812684,0.00008783548,0.000024859748],"category_scores_gemma":[0.000018636425,0.00017836106,0.00014350223,0.0004925051,0.00015449719,0.0007135546,0.00051001424,0.00038036203,0.0001552594],"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":[0.000003229259,0.00004452787,0.0020332092,0.000005668398,0.0000184786,0.000014769227,0.000047182984,0.000012756012,0.002116056,0.59229594,0.008008355,0.3953998],"study_design_scores_gemma":[0.000547283,0.00010215566,0.0026371125,0.000041461768,0.000006128609,0.0005743633,0.0000083193145,0.8303411,0.0009735845,0.0670873,0.097251564,0.00042963086],"about_ca_topic_score_codex":0.0000048613647,"about_ca_topic_score_gemma":0.000009800069,"teacher_disagreement_score":0.83032835,"about_ca_system_score_codex":0.000014837303,"about_ca_system_score_gemma":0.00005294732,"threshold_uncertainty_score":0.7273353},"labels":[],"label_agreement":null},{"id":"W1988374871","doi":"10.1111/j.1467-8659.2012.03211.x","title":"Registration Based Non‐uniform Motion Deblurring","year":2012,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":42,"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":"Deblurring; Motion blur; Computer vision; Artificial intelligence; Perspective (graphical); Computer science; Motion (physics); Point spread function; Motion interpolation; Shake; Image restoration; Motion estimation; Image (mathematics); Mathematics; Image processing; Block-matching algorithm; Object (grammar); Video tracking","score_opus":0.017780350645559325,"score_gpt":0.2634282026037313,"score_spread":0.24564785195817196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988374871","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":[0.00068936974,0.00009077202,0.9963738,0.0007753039,0.0005462616,0.00016526824,7.027446e-7,0.0008646248,0.00049392885],"genre_scores_gemma":[0.4427478,0.000004111098,0.5562902,0.00081681367,0.000099681216,0.000014506811,0.0000054844495,0.000011686323,0.000009698078],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99856555,0.000030369634,0.00026148194,0.00032586217,0.00028596862,0.00053079077],"domain_scores_gemma":[0.9988185,0.000046428995,0.00016808593,0.0006914136,0.00013850605,0.00013702255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039137053,0.00019176278,0.00014372326,0.00026306312,0.00025457665,0.00021477928,0.0007879881,0.00009520277,0.0000014847403],"category_scores_gemma":[0.000017896487,0.00019360367,0.000087310495,0.0005969508,0.000063595944,0.0024194785,0.0002699325,0.0002134495,0.000013327587],"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":[0.000010643938,0.00040090398,0.021646818,0.00014256466,0.000025702144,0.0000114588,0.00052833103,0.0003588308,0.002087204,0.69003564,0.0061783986,0.2785735],"study_design_scores_gemma":[0.00018613048,0.0000666901,0.0021997055,0.000055760058,0.0000044038875,0.00001978266,0.0000032808775,0.96337944,0.0061549935,0.024226088,0.0034324117,0.00027129747],"about_ca_topic_score_codex":0.000006237829,"about_ca_topic_score_gemma":0.000002999815,"teacher_disagreement_score":0.9630206,"about_ca_system_score_codex":0.00005213618,"about_ca_system_score_gemma":0.000038155707,"threshold_uncertainty_score":0.78949285},"labels":[],"label_agreement":null},{"id":"W1988627290","doi":"10.1111/j.1467-8659.2012.03065.x","title":"A Cell‐Based Light Interaction Model for Human Blood","year":2012,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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 Waterloo","funders":"","keywords":"Computer science; Correctness; Rendering (computer graphics); Visualization; Biological system; Artificial intelligence; Orientation (vector space); Computer vision; Biology; Algorithm","score_opus":0.03388786069252128,"score_gpt":0.30525838923379267,"score_spread":0.2713705285412714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988627290","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":[0.0033663837,0.00015170907,0.99368846,0.00048582666,0.00086176937,0.00048416512,0.000006379821,0.0007972979,0.00015801589],"genre_scores_gemma":[0.88101196,0.000010828718,0.11650391,0.0020065494,0.0002448927,0.00011494796,0.000030570558,0.00003505913,0.00004129881],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980178,0.000057082496,0.00044313233,0.0005093144,0.00029428457,0.0006784003],"domain_scores_gemma":[0.9983686,0.00009223719,0.0002246682,0.00083123316,0.0002499525,0.00023329421],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042927364,0.00030788302,0.00026587836,0.00063670153,0.00043783564,0.00033006215,0.0010763388,0.00015925535,0.0000022941122],"category_scores_gemma":[0.000004293956,0.0003117795,0.00032756306,0.0006701016,0.00003858721,0.00092913164,0.00041155162,0.00021142003,0.0000040161826],"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":[0.000003681971,0.00051609793,0.0015012957,0.000049244907,0.000026275447,7.736181e-7,0.00035570763,0.00017949835,0.00025055947,0.9856255,0.010400056,0.0010912756],"study_design_scores_gemma":[0.0005786988,0.00024032597,0.000118747106,0.00003501572,0.000022997483,0.0000064033397,0.0000030977874,0.94565713,0.008320333,0.035810973,0.008819332,0.00038694913],"about_ca_topic_score_codex":0.000006689034,"about_ca_topic_score_gemma":0.000005511114,"teacher_disagreement_score":0.94981456,"about_ca_system_score_codex":0.000023413208,"about_ca_system_score_gemma":0.000045908582,"threshold_uncertainty_score":0.9999334},"labels":[],"label_agreement":null},{"id":"W1990570114","doi":"10.1111/j.1467-8659.2008.01288.x","title":"Motorcycle Graphs: Canonical Quad Mesh Partitioning","year":2008,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":76,"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":"Polygon mesh; Quadrilateral; Computer science; Volume mesh; T-vertices; Graph; Mathematics; Mesh generation; Algorithm; Theoretical computer science; Computer graphics (images); Finite element method","score_opus":0.022174387345186848,"score_gpt":0.2382703697498122,"score_spread":0.21609598240462535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990570114","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":[0.078106046,0.00021169437,0.91830254,0.0012413143,0.0012246969,0.00015427484,0.0000031482562,0.0003191694,0.00043713217],"genre_scores_gemma":[0.94383293,0.00007737064,0.053661056,0.0020239165,0.00023116716,0.00002647598,0.000029416437,0.000013136426,0.00010451521],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981243,0.00009001535,0.0003567995,0.0005269287,0.00045080116,0.00045112587],"domain_scores_gemma":[0.9988684,0.00012780432,0.00010504553,0.00051381433,0.00018876356,0.00019616455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022869546,0.00020130392,0.00020396448,0.00033611513,0.00064586074,0.00014468703,0.00068785873,0.000098267315,0.00001197003],"category_scores_gemma":[0.0000123836935,0.00020893624,0.00019177397,0.0011275668,0.00011136747,0.0006531923,0.00030743022,0.0002214442,0.00005546988],"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":[0.0000058140245,0.00013733898,0.007345057,0.0000087949575,0.000042640593,0.000057667905,0.0003014635,0.0029238435,0.000079392725,0.9603597,0.018934458,0.0098038325],"study_design_scores_gemma":[0.0007532618,0.0002873357,0.032689415,0.000030426274,0.000009847436,0.0003415177,0.000008301178,0.8717963,0.00076114264,0.061732724,0.03101569,0.00057404913],"about_ca_topic_score_codex":0.000037204663,"about_ca_topic_score_gemma":0.00003156556,"teacher_disagreement_score":0.898627,"about_ca_system_score_codex":0.000029428023,"about_ca_system_score_gemma":0.00014866471,"threshold_uncertainty_score":0.8520172},"labels":[],"label_agreement":null},{"id":"W1994838542","doi":"10.1111/j.1467-8659.2011.01885.x","title":"Symmetry Hierarchy of Man‐Made Objects","year":2011,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":128,"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":"Hierarchy; Homogeneous space; Symmetry (geometry); Graph; Computer science; Theoretical computer science; Symmetry operation; Representation (politics); Global symmetry; Mathematics; Pure mathematics; Geometry; Symmetry breaking; Spontaneous symmetry breaking; Physics","score_opus":0.017686533877935576,"score_gpt":0.19084572575531852,"score_spread":0.17315919187738293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994838542","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":[0.29286158,0.0007566275,0.70082176,0.000032793054,0.0005375496,0.00006880013,0.000008941153,0.0003837696,0.0045282114],"genre_scores_gemma":[0.9924511,0.00009379989,0.007217486,0.000118904616,0.000055146444,0.0000026997516,0.000006495857,0.000026013244,0.000028360451],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999254,0.000012429279,0.00021251416,0.00014294735,0.0001265795,0.0002515254],"domain_scores_gemma":[0.99955684,0.000019526367,0.000027950977,0.00028392128,0.000041779866,0.00006997305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008195907,0.00013100254,0.00020059725,0.00031154507,0.000038699494,0.000010689521,0.0002237816,0.00007977551,0.000015346244],"category_scores_gemma":[0.0000022286522,0.00012888957,0.00016812397,0.00038793546,0.000041724146,0.00006455879,0.00005909744,0.00015717157,0.000013975213],"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":[0.000101753314,0.0013288894,0.17544882,0.0029605806,0.006314373,0.0002793847,0.021511415,0.088599846,0.0046577123,0.41873482,0.059836634,0.2202258],"study_design_scores_gemma":[0.00021990172,0.00006662572,0.002399809,0.00006464798,0.000054331325,0.00000600942,0.000050526578,0.98220044,0.0036920034,0.01059792,0.00037531523,0.0002724834],"about_ca_topic_score_codex":0.000022725322,"about_ca_topic_score_gemma":0.0000107100195,"teacher_disagreement_score":0.8936006,"about_ca_system_score_codex":0.000007398621,"about_ca_system_score_gemma":0.000006203511,"threshold_uncertainty_score":0.52559644},"labels":[],"label_agreement":null},{"id":"W1999021144","doi":"10.1111/j.1467-8659.2011.01856.x","title":"Generalized Helicoids for Modeling Hair Geometry","year":2011,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":20,"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":"Representation (politics); Parametrization (atmospheric modeling); Interpolation (computer graphics); Computer science; Curvature; Piecewise; Computer graphics (images); Algorithm; Geometry; Mathematics; Mathematical analysis; Physics","score_opus":0.03591102503988502,"score_gpt":0.2201863527183271,"score_spread":0.18427532767844207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999021144","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":[0.15347895,0.0005348612,0.8447467,0.000037127447,0.00048360153,0.00009662298,0.00001191315,0.00046525715,0.00014497587],"genre_scores_gemma":[0.95836896,0.00013217093,0.04082447,0.00030641697,0.00020648704,0.000030767198,0.00003358629,0.00006082612,0.000036298472],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988925,0.000010341514,0.00028755178,0.0002505151,0.00012593267,0.00043315894],"domain_scores_gemma":[0.9994332,0.000019252475,0.000023896715,0.00032614186,0.000089570625,0.00010794623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015105697,0.00020917087,0.0002645235,0.00035416865,0.00012861489,0.000041649353,0.00026670194,0.00012551174,0.000012213761],"category_scores_gemma":[0.0000037655648,0.00020987281,0.00030859915,0.000349494,0.000020501067,0.00010527394,0.000056978082,0.00014710688,0.000012255476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018660758,0.00007309655,0.0009674902,0.00015281902,0.0004992189,0.000005505097,0.00053179706,0.9590181,0.00021453232,0.021869771,0.0050549693,0.011594039],"study_design_scores_gemma":[0.00034840003,0.00003514225,0.000015119831,0.000021828904,0.00004694862,0.0000025001862,0.000014453243,0.98940545,0.00034717767,0.008967261,0.00052593474,0.0002697639],"about_ca_topic_score_codex":0.00003226083,"about_ca_topic_score_gemma":0.000017130264,"teacher_disagreement_score":0.80489004,"about_ca_system_score_codex":0.000015890688,"about_ca_system_score_gemma":0.000008462926,"threshold_uncertainty_score":0.85583645},"labels":[],"label_agreement":null},{"id":"W1999119897","doi":"10.1111/j.1467-8659.2009.01518.x","title":"Multi‐objective shape segmentation and labeling","year":2009,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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 Toronto","funders":"","keywords":"Segmentation; Computer science; Voronoi diagram; Partition (number theory); Artificial intelligence; Centroid; Scale-space segmentation; Cluster analysis; Centroidal Voronoi tessellation; Pattern recognition (psychology); Image segmentation; Computer vision; Mathematics; Geometry","score_opus":0.011333970032161184,"score_gpt":0.22530859754867993,"score_spread":0.21397462751651875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999119897","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":[0.25199848,0.0006422549,0.7467136,0.00012897067,0.00013225866,0.000057373174,0.0000029551825,0.00026838135,0.00005575657],"genre_scores_gemma":[0.9751324,0.00016487994,0.024269236,0.00034655968,0.000054698223,0.0000020290158,0.000011436773,0.0000114743625,0.000007305314],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947345,0.000008783834,0.00012371417,0.00014554028,0.000076979966,0.00017151685],"domain_scores_gemma":[0.9997936,0.000015415639,0.000015093967,0.000093396906,0.000032670752,0.000049836537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000062207044,0.0001085744,0.00011350728,0.00014076605,0.00008446543,0.000050496536,0.00006036331,0.00004995399,0.0000024854219],"category_scores_gemma":[0.0000017879931,0.0001105094,0.000050746567,0.00018823851,0.000013140617,0.00009688535,0.000015554919,0.00011098868,0.0000043401546],"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":[0.000013454458,0.00015662536,0.012788217,0.00010422514,0.00048025625,0.000025444177,0.0030020685,0.35589328,0.010515658,0.0044098576,0.0022942564,0.61031663],"study_design_scores_gemma":[0.00022090653,0.000030892348,0.0020664316,0.000020240035,0.000019656345,0.0000027319797,0.000035116813,0.99619794,0.00030737152,0.00092312763,0.000045101446,0.00013051272],"about_ca_topic_score_codex":0.0000035816406,"about_ca_topic_score_gemma":0.000007275785,"teacher_disagreement_score":0.7231339,"about_ca_system_score_codex":0.000011413476,"about_ca_system_score_gemma":0.0000026900348,"threshold_uncertainty_score":0.45064425},"labels":[],"label_agreement":null},{"id":"W1999160991","doi":"10.1111/j.1467-8659.2009.01418.x","title":"Semi‐Supervised Learning in Reconstructed Manifold Space for 3D Caricature Generation","year":2009,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Pose and Action Recognition","field":"Computer Science","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":"Western University","funders":"","keywords":"Computer science; Artificial intelligence; Regularization (linguistics); Principal component analysis; Set (abstract data type); Manifold (fluid mechanics); 3d model; Machine learning; Pattern recognition (psychology); Computer vision","score_opus":0.018279521658284215,"score_gpt":0.2329914342788642,"score_spread":0.21471191262057998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999160991","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":[0.045128122,0.00010197511,0.95030993,0.0028244096,0.00067023194,0.0003434895,0.0000028947643,0.00027649145,0.00034242874],"genre_scores_gemma":[0.89212966,0.00006507006,0.10472853,0.0024966688,0.00035818,0.000023616221,0.00009122519,0.00001316984,0.0000938593],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873984,0.00006897308,0.00025940718,0.00043746966,0.00015173611,0.0003425543],"domain_scores_gemma":[0.99937105,0.00005494836,0.00010075149,0.00027272996,0.00012738585,0.000073162315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019207307,0.00016798287,0.00017881009,0.0003727902,0.00023149059,0.00022903779,0.00033727955,0.00016732211,0.0000053559556],"category_scores_gemma":[0.000011673022,0.00017645577,0.00010449951,0.0005686,0.000014226963,0.0005201508,0.000054351494,0.00034024435,0.000008888032],"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":[0.0000201394,0.00019099702,0.0037056028,0.000033314853,0.000039157265,0.000023504519,0.00089651434,0.0009684692,0.002699167,0.42007834,0.012025752,0.559319],"study_design_scores_gemma":[0.0007623863,0.0002575795,0.0037297907,0.000039190705,0.000006854458,0.000030354267,0.000015706459,0.9715809,0.0009921216,0.010302978,0.011992708,0.00028942572],"about_ca_topic_score_codex":0.0000065099666,"about_ca_topic_score_gemma":0.000043564483,"teacher_disagreement_score":0.9706124,"about_ca_system_score_codex":0.00003295302,"about_ca_system_score_gemma":0.00004826591,"threshold_uncertainty_score":0.71956575},"labels":[],"label_agreement":null},{"id":"W2004038202","doi":"10.1111/j.1467-8659.2012.03121.x","title":"ConnectedCharts: Explicit Visualization of Relationships between Data Graphics","year":2012,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","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":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bar chart; Computer science; Graphics; Visualization; Parallel coordinates; Visual analytics; Tuple; Interactive visual analysis; Statistical graphics; Data visualization; Analytics; Data mining; Simple (philosophy); Process (computing); Scatter plot; Computer graphics (images); Programming language; Machine learning; Statistics; Mathematics","score_opus":0.11372435756231487,"score_gpt":0.33168601178919715,"score_spread":0.2179616542268823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004038202","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":[0.0034332369,0.00022856047,0.99465746,0.00047463653,0.000538632,0.00017265495,0.00011558311,0.00024172828,0.00013752042],"genre_scores_gemma":[0.9823834,0.00011463258,0.015006967,0.0006778484,0.00028110942,0.0000043317677,0.0014867722,0.00002670078,0.000018266293],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977141,0.00022979215,0.0006478781,0.00045424863,0.00048635507,0.0004676483],"domain_scores_gemma":[0.9969408,0.00032846618,0.00036062708,0.0018640253,0.00026542597,0.00024064508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011608975,0.0002172931,0.0003117204,0.0005375444,0.0002713732,0.00016316486,0.0020741571,0.00016098369,0.000008289115],"category_scores_gemma":[0.00012786055,0.0002206464,0.00008812147,0.0019595933,0.00008986694,0.002542187,0.0013475342,0.00022778101,0.000024742367],"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":[8.505544e-7,0.00008999957,0.14142765,0.000023607434,0.000043798424,3.9746485e-7,0.0002981457,0.0000065778777,0.000006668465,0.84812045,0.00909475,0.0008870949],"study_design_scores_gemma":[0.00081670575,0.00014983854,0.06481934,0.00013158923,0.000105446416,0.000015002453,0.000105431776,0.8292981,0.00049619,0.02532481,0.07793029,0.0008072623],"about_ca_topic_score_codex":0.000014650556,"about_ca_topic_score_gemma":0.000010636157,"teacher_disagreement_score":0.9796505,"about_ca_system_score_codex":0.000013525072,"about_ca_system_score_gemma":0.00005367312,"threshold_uncertainty_score":0.8997699},"labels":[],"label_agreement":null},{"id":"W2005789377","doi":"10.1111/j.1467-8659.2011.01883.x","title":"GeoBrush: Interactive Mesh Geometry Cloning","year":2011,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"University of Toronto","funders":"","keywords":"Image stitching; Computer science; Polygon mesh; Computer graphics (images); Geometry processing; Offset (computer science); Surface (topology); Triangle mesh; Parametric surface; Geometry; Copying; Parametric statistics; Algorithm; Computer vision; Mathematics","score_opus":0.017387444011656095,"score_gpt":0.20396385155869515,"score_spread":0.18657640754703905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005789377","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":[0.20756298,0.0002891761,0.78793854,0.000022070213,0.00079368823,0.000051411567,0.0000054428524,0.00054441363,0.0027922934],"genre_scores_gemma":[0.99233645,0.000066744455,0.0071994523,0.00019911563,0.00011315893,0.0000057004304,0.000011316812,0.000036294015,0.000031779146],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910605,0.000014265113,0.00021047567,0.00020687253,0.00012183857,0.0003405091],"domain_scores_gemma":[0.9995218,0.00003208729,0.000030705472,0.000269355,0.000055150507,0.00009088422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010032324,0.0001770711,0.0002026908,0.00036723723,0.00008702111,0.000040817973,0.00024035016,0.00008721133,0.000050170445],"category_scores_gemma":[0.0000040851082,0.00017715001,0.00018318296,0.0004246193,0.000029374596,0.00016314855,0.00008954544,0.0002879837,0.00005823307],"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":[0.0001346853,0.0009056863,0.16270185,0.00062746764,0.007857887,0.00046436038,0.023514772,0.14045313,0.0009775521,0.21137503,0.064340785,0.3866468],"study_design_scores_gemma":[0.000178619,0.000056467696,0.0013382585,0.000053194748,0.000045860186,0.000009475278,0.00009036136,0.99228173,0.00074388954,0.003821864,0.0010705442,0.0003097175],"about_ca_topic_score_codex":0.000032071144,"about_ca_topic_score_gemma":0.000013166395,"teacher_disagreement_score":0.85182863,"about_ca_system_score_codex":0.000019292882,"about_ca_system_score_gemma":0.000005730664,"threshold_uncertainty_score":0.7223968},"labels":[],"label_agreement":null},{"id":"W2005981043","doi":"10.1111/j.1467-8659.2008.01275.x","title":"A smart stochastic approach for manifolds smoothing","year":2008,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Smoothing; Computer science; Object (grammar); Process (computing); Probabilistic logic; Mathematical optimization; Algorithm; Manifold (fluid mechanics); Stochastic process; Flexibility (engineering); Theoretical computer science; Artificial intelligence; Mathematics; Computer vision; Statistics","score_opus":0.020378646241934775,"score_gpt":0.20339746147165377,"score_spread":0.183018815229719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005981043","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":[0.022251856,0.00027389152,0.97640276,0.000042686002,0.00025864702,0.00012949495,0.0000077747045,0.00042196526,0.00021092326],"genre_scores_gemma":[0.9651912,0.000022464703,0.03427506,0.0001801636,0.00016703711,0.000034761117,0.000033612985,0.00004584014,0.000049903534],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990769,0.00000778447,0.00020243147,0.0002229421,0.00013389511,0.00035604666],"domain_scores_gemma":[0.999564,0.000040535524,0.00002181093,0.00024367597,0.000048589107,0.00008142107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010047417,0.00017363849,0.00021651722,0.00020736792,0.0002099612,0.000033354583,0.00019994527,0.00009219043,0.0000019797715],"category_scores_gemma":[0.0000036521546,0.00017639344,0.00022148112,0.00024458097,0.00003260819,0.00007820815,0.000039332812,0.00015262079,0.0000052591777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000053581016,0.000051966752,0.00040324923,0.00010743083,0.00022479729,0.000006286749,0.0005570982,0.985128,0.000045600606,0.00453765,0.006816351,0.0021162073],"study_design_scores_gemma":[0.00020171358,0.000028146633,0.00012620541,0.000014336146,0.000032358632,0.000021779035,0.00001173813,0.9979568,0.00001554579,0.0009563482,0.0004201215,0.00021489957],"about_ca_topic_score_codex":0.00000829197,"about_ca_topic_score_gemma":0.0000030560043,"teacher_disagreement_score":0.9429393,"about_ca_system_score_codex":0.000016476679,"about_ca_system_score_gemma":0.000009325403,"threshold_uncertainty_score":0.7193116},"labels":[],"label_agreement":null},{"id":"W2006351642","doi":"10.1111/j.1467-8659.2008.01266.x","title":"Fast Soft Self‐Shadowing on Dynamic Height Fields","year":2008,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"University of Toronto","funders":"","keywords":"Azimuth; Rendering (computer graphics); Computer science; Ray tracing (physics); Geometry; Optics; Mathematics; Computer vision; Physics","score_opus":0.014020074999446984,"score_gpt":0.2533027255633172,"score_spread":0.2392826505638702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006351642","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":[0.009340794,0.00012996799,0.9859229,0.0008999035,0.0011493976,0.00027346492,0.0000035544329,0.0018470945,0.00043294797],"genre_scores_gemma":[0.94714016,0.00028521856,0.046087507,0.006165858,0.00015955183,0.000029448935,0.000017758142,0.00004082296,0.000073684016],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974046,0.0000942657,0.00047325107,0.00084014004,0.0005482814,0.0006395094],"domain_scores_gemma":[0.9980945,0.0001470141,0.00015884812,0.0011923274,0.00019603048,0.00021125311],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023429109,0.00039163098,0.00034834628,0.00071522273,0.0006618221,0.00025353293,0.0017499714,0.00022172775,0.000005887322],"category_scores_gemma":[0.0000065246995,0.00038210128,0.00031564542,0.0012904233,0.000097175565,0.0005339796,0.0007948692,0.0004433556,0.000033115986],"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":[0.000004074441,0.00025463352,0.002397448,0.000020196123,0.00005582427,0.00008633831,0.0007307601,0.000075327574,0.000005543856,0.97302634,0.010286154,0.0130573595],"study_design_scores_gemma":[0.00039959844,0.00052776927,0.0034304764,0.00007158102,0.000006375993,0.00013237387,0.000004117614,0.9468748,0.00023044612,0.030765615,0.016979402,0.0005774677],"about_ca_topic_score_codex":0.000012613015,"about_ca_topic_score_gemma":0.000012035666,"teacher_disagreement_score":0.94679946,"about_ca_system_score_codex":0.000041077426,"about_ca_system_score_gemma":0.00008001891,"threshold_uncertainty_score":0.9998631},"labels":[],"label_agreement":null},{"id":"W2006616664","doi":"10.1111/j.1467-8659.2010.01718.x","title":"Creating and Animating Subject‐Specific Anatomical Models","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"University of British Columbia","funders":"","keywords":"Morphing; Computer science; Artificial intelligence; Kinematics; Computer vision; Skeleton (computer programming); Segmentation; Population; Projection (relational algebra); Process (computing); Algorithm","score_opus":0.010841094284115357,"score_gpt":0.2034937321258887,"score_spread":0.19265263784177333,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006616664","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":[0.5608781,0.0002256612,0.43780237,0.000041473315,0.00018317267,0.000032773773,0.0000027646404,0.00026689292,0.00056680414],"genre_scores_gemma":[0.9788578,0.00008184655,0.02079182,0.00006368477,0.00015649264,0.0000035295602,0.000007182057,0.0000325243,0.000005132221],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991524,0.000009883932,0.00021222542,0.00021597176,0.00011817365,0.00029129517],"domain_scores_gemma":[0.9995641,0.00005989115,0.00002320204,0.00021341954,0.00003846812,0.00010089022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014477555,0.00015628702,0.00018908094,0.00017111603,0.00015861119,0.00012269769,0.00013602558,0.00010675333,0.0000057177617],"category_scores_gemma":[0.000003657572,0.00015679834,0.00008568665,0.00022160904,0.000046068875,0.00014952722,0.00006793029,0.00039977534,0.000003962655],"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":[0.000015346746,0.00012419559,0.026422879,0.0003075647,0.00051067525,0.000051805942,0.0029750615,0.38852227,0.016393675,0.395685,0.0046372837,0.16435426],"study_design_scores_gemma":[0.0001266203,0.000010172194,0.00024956246,0.00001933235,0.0000110505125,0.00001191266,0.000023845561,0.9902715,0.00019437073,0.008675132,0.0002236113,0.00018286503],"about_ca_topic_score_codex":0.000010234,"about_ca_topic_score_gemma":0.000028629722,"teacher_disagreement_score":0.60174924,"about_ca_system_score_codex":0.0000062854133,"about_ca_system_score_gemma":0.000004573025,"threshold_uncertainty_score":0.6394051},"labels":[],"label_agreement":null},{"id":"W2009351730","doi":"10.1111/cgf.12041","title":"Interactive Facades Analysis and Synthesis of Semi‐Regular Facades","year":2013,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Facade; Representation (politics); Computer science; Computer graphics (images); Repetition (rhetorical device); Range (aeronautics); Deformation (meteorology); Artificial intelligence; Computer vision; Geology; Structural engineering; Engineering","score_opus":0.008961188187330224,"score_gpt":0.1984194979764031,"score_spread":0.18945830978907288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009351730","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":[0.9954529,0.00045354356,0.0032384917,0.00022918741,0.000092911796,0.00010165446,0.000062181774,0.0000373926,0.0003317376],"genre_scores_gemma":[0.99861306,0.000102676815,0.0010271579,0.00014552282,0.000024442537,0.0000018912527,0.00003555547,0.0000025499312,0.000047160585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990642,0.000096432224,0.00020505379,0.00023793192,0.00016118768,0.0002351695],"domain_scores_gemma":[0.999298,0.00029801627,0.00009002889,0.00014384695,0.000066176195,0.00010393498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014923446,0.0001381723,0.00027655694,0.00020374845,0.00011762822,0.00007886481,0.00018668747,0.00008899258,0.00024979986],"category_scores_gemma":[0.000016727112,0.00010133412,0.00013966279,0.00054880866,0.00014393106,0.00030767912,0.00002874504,0.00014466827,0.000022270964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000052037494,0.00001158658,0.92667675,0.00001854257,0.00030588408,0.0000013892391,0.00023300134,0.00011304658,0.000028435878,0.0001849,0.00041624394,0.072005],"study_design_scores_gemma":[0.000065859094,0.00006134632,0.9486055,0.000025377816,0.00009042795,0.0000037490238,0.0004192521,0.048340324,0.0005695398,0.0014248844,0.00023856881,0.00015521019],"about_ca_topic_score_codex":0.0017680555,"about_ca_topic_score_gemma":0.0007429016,"teacher_disagreement_score":0.07184979,"about_ca_system_score_codex":0.0000012722476,"about_ca_system_score_gemma":0.0000056518193,"threshold_uncertainty_score":0.41322854},"labels":[],"label_agreement":null},{"id":"W2009798220","doi":"10.1111/cgf.12039","title":"<i>Smart Variations</i>: Functional Substructures for Part Compatibility","year":2013,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":92,"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; Reuse; Compatibility (geochemistry); Set (abstract data type); Mixing (physics); Theoretical computer science; Algorithm; Programming language; Engineering","score_opus":0.014251515585660193,"score_gpt":0.19379073744887107,"score_spread":0.17953922186321086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009798220","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":[0.064426064,0.000107052394,0.9336648,0.00026714988,0.0009101202,0.00018606649,0.000027499707,0.00030359955,0.000107629334],"genre_scores_gemma":[0.9915181,0.000010161057,0.0075776693,0.0003698617,0.00025387006,0.00006559081,0.00015277565,0.000022086973,0.000029919538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99915445,0.0000132856485,0.00024484724,0.00020179655,0.00012802401,0.00025762426],"domain_scores_gemma":[0.9994074,0.00008768021,0.000027330447,0.00025667468,0.0001436613,0.00007724532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000097092685,0.0001461301,0.00017306076,0.000111914815,0.00015798942,0.00008292929,0.00012519612,0.000077557306,0.00007564879],"category_scores_gemma":[0.0000061546903,0.00013878668,0.00017693796,0.00019476132,0.000030956267,0.0001291605,0.000026098869,0.00011754079,0.000025569263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011547275,0.00011992365,0.04992247,0.00021308954,0.00072936545,7.57373e-7,0.00022084173,0.51125497,0.00026963375,0.058978897,0.358563,0.019715479],"study_design_scores_gemma":[0.00019943934,0.000015616864,0.01324827,0.0000075152634,0.00002640714,0.0000012883695,0.000005042601,0.9558539,0.00007430032,0.025842791,0.0045630876,0.0001623776],"about_ca_topic_score_codex":0.000023903925,"about_ca_topic_score_gemma":0.00003951324,"teacher_disagreement_score":0.927092,"about_ca_system_score_codex":0.000015163739,"about_ca_system_score_gemma":0.000009481916,"threshold_uncertainty_score":0.5659557},"labels":[],"label_agreement":null},{"id":"W2012296464","doi":"10.1111/1467-8659.00551","title":"Interactive Display of Global Illumination Solutions for Non‐diffuse Environments – A Survey","year":2001,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Optical Imaging Technologies","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 British Columbia","funders":"","keywords":"Computer science; Global illumination; Field (mathematics); Human–computer interaction; Computer graphics (images); Data science; Rendering (computer graphics); Mathematics","score_opus":0.016033390920261577,"score_gpt":0.2534503887105284,"score_spread":0.23741699779026681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012296464","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":[0.13656041,0.000039303854,0.8625337,0.000088969726,0.00028565736,0.00019119683,0.00008597909,0.0001713055,0.00004349906],"genre_scores_gemma":[0.9786238,0.00006128371,0.021174392,0.000028426613,0.000014409576,0.000029605406,0.00004563536,0.000016469177,0.0000059611457],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992446,0.0000102032545,0.00018093835,0.00015695121,0.000089502304,0.00031785504],"domain_scores_gemma":[0.99952126,0.0001338493,0.000041406205,0.00023294204,0.00003539801,0.000035144018],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008565706,0.00012919348,0.00014993348,0.00007013704,0.000061107814,0.000013601633,0.00020511192,0.00007592087,8.643615e-7],"category_scores_gemma":[0.000044827135,0.00013556922,0.000070847986,0.00025601394,0.0001460543,0.00019719396,0.00014095767,0.00010372459,0.0000035573908],"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":[0.00028387376,0.0021581699,0.3442739,0.00031972028,0.0011534622,0.00003193466,0.00058358145,0.07678716,0.0050827987,0.37209928,0.015361675,0.18186443],"study_design_scores_gemma":[0.00061140244,0.00010571576,0.11442575,0.00003546295,0.000016488591,0.0000069167195,0.000029536986,0.8671897,0.00041745274,0.015464476,0.0014830435,0.00021402942],"about_ca_topic_score_codex":0.0000075238013,"about_ca_topic_score_gemma":0.000057687703,"teacher_disagreement_score":0.8420634,"about_ca_system_score_codex":0.00007980992,"about_ca_system_score_gemma":0.0000039265533,"threshold_uncertainty_score":0.5528352},"labels":[],"label_agreement":null},{"id":"W2014070888","doi":"10.1111/j.1467-8659.2008.01175.x","title":"The Visual Computing of Projector‐Camera Systems","year":2008,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Optical measurement and interference techniques","field":"Computer Science","cited_by":96,"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":"Deutsche Forschungsgemeinschaft","keywords":"Projector; Computer science; Computer vision; Computer graphics (images); Image warping; Artificial intelligence; High dynamic range; Projection (relational algebra); Pixel; Tone mapping; Dynamic range; Algorithm","score_opus":0.0358623574271747,"score_gpt":0.2697988563418318,"score_spread":0.23393649891465712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014070888","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":[0.04569278,0.00041701423,0.94998294,0.00042292624,0.0015143572,0.00037336664,7.752944e-7,0.00039158727,0.0012042586],"genre_scores_gemma":[0.9916701,0.00007313102,0.00794715,0.00015469085,0.00011015573,0.000009446656,8.84765e-7,0.000009965293,0.000024494662],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982398,0.000101767444,0.0004497918,0.00031289196,0.00046863843,0.0004270921],"domain_scores_gemma":[0.9986988,0.00020534986,0.00018221376,0.00052699423,0.00030965774,0.000077039425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004679926,0.00017816336,0.00024268831,0.00014422507,0.0004328662,0.00015538423,0.0013425925,0.000074899006,5.48566e-7],"category_scores_gemma":[0.000021382699,0.00012165783,0.00013748244,0.00053242495,0.00027389263,0.00027616,0.0004991543,0.00023117042,0.0000066666016],"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":[0.000009532672,0.00013786739,0.01047262,0.000035859917,0.00006277868,0.000009850459,0.0004187346,0.000025199864,0.0003982633,0.9696335,0.0062906,0.012505188],"study_design_scores_gemma":[0.00034104515,0.0012214719,0.005861698,0.00020360424,0.000008477708,0.00008577268,0.00004869271,0.9766254,0.0042975433,0.0034648366,0.0074094,0.0004320505],"about_ca_topic_score_codex":0.00003281784,"about_ca_topic_score_gemma":0.0000031661364,"teacher_disagreement_score":0.9766002,"about_ca_system_score_codex":0.000019911773,"about_ca_system_score_gemma":0.00006407137,"threshold_uncertainty_score":0.49610624},"labels":[],"label_agreement":null},{"id":"W2015365486","doi":"10.1111/j.1467-8659.2011.02030.x","title":"VASE: Volume‐Aware Surface Evolution for Surface Reconstruction from Incomplete Point Clouds","year":2011,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Simon Fraser University","funders":"","keywords":"Prior probability; Point cloud; Computer science; Smoothness; Surface (topology); Computer vision; Artificial intelligence; Volume (thermodynamics); Surface reconstruction; Point (geometry); Object (grammar); Isosurface; Algorithm; Mathematics; Geometry; Visualization","score_opus":0.02087181151620934,"score_gpt":0.1970746118277458,"score_spread":0.17620280031153646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015365486","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":[0.36045128,0.00025609712,0.6377161,0.000052308416,0.00091170985,0.000112698755,0.00009247013,0.00035921182,0.00004809745],"genre_scores_gemma":[0.95743346,0.0000490984,0.042097017,0.000052220243,0.00016906309,0.000005996881,0.00011371383,0.00005177283,0.000027627362],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987127,0.00003246293,0.00036142938,0.0003490078,0.00014554767,0.00039885816],"domain_scores_gemma":[0.9992373,0.000048752554,0.00006786484,0.0003911052,0.0001437547,0.00011123705],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018048177,0.0002468478,0.00030052528,0.000107147345,0.00018770932,0.000047750127,0.00023553442,0.0001694603,0.000037131835],"category_scores_gemma":[0.0000040626783,0.00026997234,0.0002689774,0.00030237372,0.000052450796,0.0002022744,0.000062438645,0.0002110781,0.00003131153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011146833,0.00019114347,0.14885914,0.00030301273,0.0016308908,0.000019319212,0.0015726221,0.7843396,0.0016844302,0.009640403,0.029310523,0.022337442],"study_design_scores_gemma":[0.00034101793,0.000054809174,0.0016392119,0.000055612585,0.00007258582,0.00001054829,0.000058402944,0.98288333,0.0002967727,0.013900947,0.00036046244,0.00032631756],"about_ca_topic_score_codex":0.00025527977,"about_ca_topic_score_gemma":0.00016026832,"teacher_disagreement_score":0.5969822,"about_ca_system_score_codex":0.00007279979,"about_ca_system_score_gemma":0.000018941217,"threshold_uncertainty_score":0.99997526},"labels":[],"label_agreement":null},{"id":"W2015448180","doi":"10.1111/j.1467-8659.2009.01597.x","title":"Fitted BVH for Fast Raytracing of Metaballs","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Université de Montréal","funders":"","keywords":"Computer science; Rendering (computer graphics); Computer graphics (images); CUDA; Visualization; Animation; Real-time rendering; Scientific visualization; Ray tracing (physics); Volume rendering; Data structure; Computational science; Computer graphics; Artificial intelligence; Parallel computing; Optics; Physics","score_opus":0.014381712002347299,"score_gpt":0.27824055881993676,"score_spread":0.2638588468175895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015448180","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":[0.012318248,0.000056359135,0.9846952,0.00042354473,0.0014651909,0.00047085283,0.000015065471,0.0004667754,0.000088762376],"genre_scores_gemma":[0.7332499,0.00002415757,0.26568738,0.00077537564,0.00015493295,0.000044272907,0.00001854197,0.00002684932,0.000018584838],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980624,0.00004257859,0.0005622606,0.0005600045,0.0003228704,0.0004499334],"domain_scores_gemma":[0.997754,0.00023505019,0.00038303874,0.0009810022,0.00050545635,0.00014148289],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005640473,0.00026270002,0.0003813808,0.0006185848,0.00020708071,0.00020730153,0.0015705804,0.00017306606,0.0000044591097],"category_scores_gemma":[0.000029502276,0.00025667215,0.0003561523,0.0010454516,0.00012031466,0.00046135334,0.00054550526,0.00029692816,0.0000017686006],"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":[0.00000386374,0.00009527423,0.000950216,0.00003844126,0.000043615106,0.0000012448048,0.00019685674,0.0000053340964,0.0012450204,0.96433145,0.0019601183,0.031128576],"study_design_scores_gemma":[0.0006907276,0.00040828774,0.0018612293,0.000050686034,0.000020808548,0.00002194521,0.000004908816,0.8080959,0.02281793,0.13429528,0.03124287,0.00048944115],"about_ca_topic_score_codex":0.000012550026,"about_ca_topic_score_gemma":0.000031415566,"teacher_disagreement_score":0.83003616,"about_ca_system_score_codex":0.0000058271203,"about_ca_system_score_gemma":0.00006445093,"threshold_uncertainty_score":0.99998856},"labels":[],"label_agreement":null},{"id":"W2019852388","doi":"10.1111/1467-8659.t01-2-00707","title":"Interactive Design of Bonsai Tree Models","year":2003,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","cited_by":70,"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; Decomposition; Computer graphics; Tree (set theory); Graphics; Theoretical computer science; Space (punctuation); Function (biology); Computer graphics (images); Mathematics","score_opus":0.026470450457500357,"score_gpt":0.2063901520215028,"score_spread":0.17991970156400244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019852388","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":[0.80742997,0.0005300201,0.1868005,0.0017403781,0.00045223616,0.00059358735,0.00002676978,0.00038194685,0.0020445758],"genre_scores_gemma":[0.99840724,0.000044557837,0.0011577591,0.00033878814,0.000016406086,0.000011253731,0.000004609666,9.4886366e-7,0.00001844611],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99921054,0.000083264466,0.00017651435,0.00019733948,0.0000898879,0.00024247069],"domain_scores_gemma":[0.9995296,0.00019794454,0.000087015695,0.00007703771,0.00006707622,0.000041302716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015725484,0.00011499677,0.00018019145,0.000027440383,0.000099697754,0.000013395569,0.0002458072,0.0001310993,0.00003641351],"category_scores_gemma":[0.000011287826,0.000046917572,0.00010449267,0.0002712299,0.00009625696,0.00011600911,0.00005091092,0.00014203618,0.000007839833],"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":[0.00011436012,0.00047079092,0.011277244,0.000009855848,0.000147338,0.000015058305,0.00015331371,0.00033781855,0.019904597,0.86605847,0.0035600804,0.09795109],"study_design_scores_gemma":[0.001464577,0.0028026516,0.021093795,0.00010457186,0.000086923545,0.00007262259,0.00058767945,0.13768765,0.017944334,0.80771255,0.009504817,0.000937825],"about_ca_topic_score_codex":0.000013623877,"about_ca_topic_score_gemma":0.00008593248,"teacher_disagreement_score":0.19097725,"about_ca_system_score_codex":0.0000057216225,"about_ca_system_score_gemma":0.0000047609615,"threshold_uncertainty_score":0.19132431},"labels":[],"label_agreement":null},{"id":"W2021838328","doi":"10.1111/j.1467-8659.2006.00933.x","title":"Memory‐Conserving Bounding Volume Hierarchies with Coherent Raytracing","year":2006,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Bounding volume; Encoding (memory); Bounding overwatch; Ray tracing (physics); Volume (thermodynamics); Scheme (mathematics); Overhead (engineering); Parallel computing; Computer graphics (images); Algorithm; Theoretical computer science; Artificial intelligence; Mathematics; Optics; Collision detection","score_opus":0.009234211551614526,"score_gpt":0.23189371579079943,"score_spread":0.2226595042391849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021838328","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":[0.030337496,0.00025252416,0.9655748,0.0009100786,0.0005993724,0.0003565272,0.0000030355811,0.0013398614,0.00062629237],"genre_scores_gemma":[0.8974786,0.00003223783,0.10087119,0.0010792441,0.00028072554,0.000044005985,0.000022462702,0.00004863331,0.0001429264],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99723476,0.00011852252,0.0005377939,0.0008111883,0.00055513065,0.0007425789],"domain_scores_gemma":[0.9982462,0.000120671575,0.0002571398,0.0009880867,0.00023578289,0.00015214458],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00042340465,0.00040930408,0.00038012705,0.0008174105,0.0006754729,0.0011315284,0.0014540916,0.000120573786,0.0000066444354],"category_scores_gemma":[0.0000042104016,0.00037413876,0.00018995685,0.0015586993,0.0001873257,0.0008489282,0.0007886347,0.0003399172,0.000008381889],"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":[0.0000063505972,0.00011032817,0.016948815,0.00004446364,0.00004061686,0.000039524573,0.0002745645,0.00014557812,0.00004040398,0.9651182,0.0065183537,0.010712771],"study_design_scores_gemma":[0.0007314753,0.0004601316,0.013241495,0.0002703266,0.000020502699,0.00015185792,0.000025096964,0.86297804,0.001801541,0.10173965,0.017616574,0.00096332864],"about_ca_topic_score_codex":0.00020347923,"about_ca_topic_score_gemma":0.00018407225,"teacher_disagreement_score":0.86714107,"about_ca_system_score_codex":0.00004538887,"about_ca_system_score_gemma":0.00009166198,"threshold_uncertainty_score":0.9999054},"labels":[],"label_agreement":null},{"id":"W2025394193","doi":"10.1111/j.1467-8659.2009.01475.x","title":"iPCA: An Interactive System for PCA‐based Visual Analytics","year":2009,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":222,"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":"Computer science; Interactivity; Principal component analysis; Visual analytics; Dimensionality reduction; Human–computer interaction; Visualization; Set (abstract data type); Interface (matter); Interactive visual analysis; User interface; Data mining; Component (thermodynamics); Machine learning; Artificial intelligence; Multimedia","score_opus":0.024198623112862163,"score_gpt":0.3157650869119379,"score_spread":0.29156646379907575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025394193","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":[0.0012077808,0.00001891428,0.99605656,0.0009811897,0.00076759607,0.00027555585,0.00002920974,0.00048454123,0.00017866938],"genre_scores_gemma":[0.93275666,0.0000041409376,0.06073433,0.0059935367,0.00023298118,0.000009740491,0.00019892889,0.000021585976,0.000048062182],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980841,0.00007936853,0.00042157108,0.0006039507,0.00033445188,0.00047652575],"domain_scores_gemma":[0.99832183,0.00012398354,0.00020655399,0.00073975156,0.00036922967,0.00023865292],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003161233,0.00026322145,0.0003133665,0.00046505322,0.00026627607,0.0005690384,0.0011972314,0.000110504545,0.000001919576],"category_scores_gemma":[0.000017903609,0.0002547116,0.00020919503,0.00090747385,0.000048371727,0.00095041085,0.00015238427,0.0001557651,0.00001473537],"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":[0.000022357492,0.00039579166,0.00027589052,0.000043336175,0.00005169866,0.000015473544,0.00014006704,0.000925212,0.000039137907,0.9696814,0.008876735,0.019532936],"study_design_scores_gemma":[0.00070361525,0.0007851049,0.00042254187,0.000060577757,0.000023653569,0.000009539969,0.000050517006,0.98629147,0.0004818847,0.0030622266,0.007788254,0.0003205891],"about_ca_topic_score_codex":0.0000041877265,"about_ca_topic_score_gemma":0.000009726227,"teacher_disagreement_score":0.9853663,"about_ca_system_score_codex":0.00006301917,"about_ca_system_score_gemma":0.00009756838,"threshold_uncertainty_score":0.9999905},"labels":[],"label_agreement":null},{"id":"W2025795727","doi":"10.1111/j.1467-8659.2006.00959.x","title":"Volume‐Surface Trees","year":2006,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":39,"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":"Polygon mesh; Subdivision; Computer science; Subdivision surface; Surface (topology); Cluster analysis; Embedding; Computer graphics; Tree (set theory); Volume (thermodynamics); Point (geometry); Decomposition; Algorithm; k-d tree; Computer graphics (images); Artificial intelligence; Mathematics; Tree traversal; Geometry; Combinatorics; Geography","score_opus":0.010727281878316487,"score_gpt":0.24518502899354508,"score_spread":0.2344577471152286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025795727","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":[0.0074504996,0.0002881667,0.98769957,0.001125452,0.0008372543,0.00022024111,0.0000045801426,0.0015551664,0.00081906375],"genre_scores_gemma":[0.8909863,0.00005897945,0.106488146,0.001737981,0.00030443768,0.000014207422,0.000028939934,0.000037860085,0.00034311743],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977143,0.000081936356,0.00047458085,0.0007044491,0.00044288352,0.0005818486],"domain_scores_gemma":[0.99836457,0.00006575694,0.00016829459,0.0010468669,0.0002290067,0.00012549091],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028879874,0.00031833007,0.0002893953,0.0003844327,0.00032849642,0.0005831629,0.0016747373,0.00014792269,0.000008705429],"category_scores_gemma":[0.0000029617006,0.0003201885,0.00025244377,0.0014568145,0.00010949309,0.0006295881,0.0007843677,0.0002200321,0.000035390225],"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":[0.0000011302034,0.00010348436,0.011768499,0.000006953182,0.000012924629,0.000011088913,0.00003713102,0.000116489995,0.000026942558,0.9309242,0.052902386,0.0040888083],"study_design_scores_gemma":[0.00026031455,0.0001569576,0.011615216,0.000023884168,0.000005094508,0.000023924224,0.0000019515774,0.73867786,0.0006557802,0.15306634,0.095079735,0.00043295987],"about_ca_topic_score_codex":0.00013525395,"about_ca_topic_score_gemma":0.00006619064,"teacher_disagreement_score":0.8835358,"about_ca_system_score_codex":0.000024282923,"about_ca_system_score_gemma":0.000048704558,"threshold_uncertainty_score":0.999925},"labels":[],"label_agreement":null},{"id":"W2027499039","doi":"10.1111/1467-8659.00387","title":"Texture‐based Dither Matrices","year":2000,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Color Science and Applications","field":"Physics and Astronomy","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":"Electronic Arts (Canada)","funders":"","keywords":"Dither; Halftone; Computer vision; Computer science; Artificial intelligence; Pixel; Texture filtering; Image texture; Rendering (computer graphics); Texture (cosmology); Histogram; Computer graphics (images); Tone mapping; Histogram equalization; Luminance; Image processing; Image (mathematics); High dynamic range; Noise shaping","score_opus":0.0069711438778544835,"score_gpt":0.23395585373151578,"score_spread":0.2269847098536613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027499039","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":[0.5373282,0.00012548757,0.4142675,0.005702943,0.0003618466,0.00054099475,0.00006774629,0.00024822963,0.04135703],"genre_scores_gemma":[0.99744767,0.0000019117867,0.0011521622,0.0007459749,0.00021561075,0.000027292652,0.000017252767,0.0000074631507,0.0003846541],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99939114,0.000008871536,0.00010007714,0.00019035382,0.00010028487,0.00020926636],"domain_scores_gemma":[0.99962413,0.000025091778,0.000028957726,0.00024063025,0.000021734702,0.000059475078],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000043268305,0.00008833566,0.000076524455,0.000052927488,0.00018116394,0.000073163465,0.00025497924,0.000020985643,0.0011214433],"category_scores_gemma":[9.4537846e-8,0.000076227676,0.00009123561,0.0003697379,0.000054952252,0.00008797061,0.000024501582,0.00008263163,0.00021832787],"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":[0.000005961446,0.00026921666,0.06472299,0.0000042665138,0.000029637486,9.831922e-7,0.00010184362,0.00055094593,0.00003770517,0.3747149,0.035580534,0.523981],"study_design_scores_gemma":[0.00048340557,0.00007847979,0.017883712,0.000017959219,0.000021085989,7.856938e-7,0.00003850482,0.15748715,0.0003003845,0.05943195,0.76386863,0.00038793593],"about_ca_topic_score_codex":0.000037747326,"about_ca_topic_score_gemma":0.0000043731743,"teacher_disagreement_score":0.7282881,"about_ca_system_score_codex":0.0000029311348,"about_ca_system_score_gemma":0.000020389301,"threshold_uncertainty_score":0.9997917},"labels":[],"label_agreement":null},{"id":"W2027621340","doi":"10.1111/j.1467-8659.2010.01753.x","title":"Transparent and Specular Object Reconstruction","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":197,"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; University of British Columbia","funders":"","keywords":"Specular reflection; Opacity; Rendering (computer graphics); Computer science; Specular highlight; Computer graphics (images); Computer vision; Object (grammar); Refraction; Artificial intelligence; Optics; Physics","score_opus":0.015374496076738617,"score_gpt":0.20071207226839435,"score_spread":0.18533757619165575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027621340","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":[0.99580026,0.00020080144,0.0012745573,0.00020047158,0.0014325851,0.00006554903,0.000018112887,0.00006077641,0.00094689045],"genre_scores_gemma":[0.9975774,0.000061484396,0.002008735,0.00017556145,0.000117268595,2.9544017e-7,0.000033821343,0.0000019759837,0.000023410716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99940866,0.000027877019,0.00010358122,0.0001822546,0.00009410174,0.00018350959],"domain_scores_gemma":[0.9997258,0.000028619905,0.000024257399,0.00011045872,0.000019758867,0.000091093934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013661063,0.00008925804,0.00009278747,0.000043077634,0.00016825659,0.00006770334,0.000087541965,0.00006392998,0.00017157532],"category_scores_gemma":[0.0000026497612,0.00006951263,0.00004678531,0.00011111972,0.0000964849,0.00012370295,0.0000052244063,0.0002011526,0.000021289852],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00000589462,0.0000050627436,0.7967191,0.000008538901,0.000011396082,0.000006340924,0.00009672735,0.000022177694,0.000060980707,0.0011982492,0.00024505772,0.2016205],"study_design_scores_gemma":[0.00018868923,0.000097877404,0.9632708,0.00001307036,0.000007608071,0.00016097802,0.0000408778,0.025342843,0.00009645801,0.003663105,0.006930349,0.00018737167],"about_ca_topic_score_codex":0.00018910004,"about_ca_topic_score_gemma":0.0039804117,"teacher_disagreement_score":0.20143314,"about_ca_system_score_codex":4.0725283e-7,"about_ca_system_score_gemma":0.0000071279937,"threshold_uncertainty_score":0.28346428},"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":"W2028415715","doi":"10.1111/j.1467-8659.2004.00782.x","title":"Crowd of Virtual Humans: a New Approach for Real Time Navigation in Complex and Structured Environments","year":2004,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":269,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Nautical Research Society","funders":"","keywords":"Computer science; Crowd simulation; Structuring; Animation; Virtual actor; Process (computing); Human–computer interaction; Constraint (computer-aided design); Path (computing); Virtual machine; Computer animation; Virtual reality; Artificial intelligence; Computer graphics (images); Distributed computing; Crowds; Engineering","score_opus":0.012497875541536259,"score_gpt":0.22203819718743417,"score_spread":0.20954032164589792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028415715","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":[0.36845338,0.00002294661,0.63104063,0.000028062072,0.000049171445,0.0002450553,0.000020347246,0.000044851422,0.00009553879],"genre_scores_gemma":[0.9664965,0.000028435208,0.033037417,0.000043977194,0.000032786407,0.00000785727,0.00031404974,0.000021334557,0.000017590988],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994054,0.0000074711616,0.00020571463,0.00013993261,0.000095086754,0.00014641974],"domain_scores_gemma":[0.9997717,0.000015072719,0.000033700213,0.00012346766,0.000008928244,0.000047136244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006158202,0.00010851116,0.00014456476,0.00010303449,0.000032026477,0.00001764807,0.00009088294,0.00008149217,0.0000040723507],"category_scores_gemma":[0.0000014644743,0.000120119206,0.000039781968,0.0001055288,0.000043466312,0.00008415696,0.000028256445,0.000076490214,0.0000011165894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006666644,0.00017127437,0.004825794,0.00026645875,0.00016001772,0.0000025135855,0.0027559032,0.6726109,0.02297942,0.2756871,0.0015316242,0.01894234],"study_design_scores_gemma":[0.0018914919,0.00009892971,0.027815921,0.000025394347,0.000011516231,0.0000033984475,0.0000342847,0.95456547,0.00028516675,0.014793563,0.00028623323,0.00018861564],"about_ca_topic_score_codex":0.0000122204465,"about_ca_topic_score_gemma":0.000016191187,"teacher_disagreement_score":0.59804314,"about_ca_system_score_codex":0.00003094814,"about_ca_system_score_gemma":0.000009232661,"threshold_uncertainty_score":0.4898319},"labels":[],"label_agreement":null},{"id":"W2029129133","doi":"10.1111/j.1467-8659.2003.00717.x","title":"Automatic View Selection Using Viewpoint Entropy and its Application to Image‐Based Modelling","year":2003,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":178,"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":"Universitat de Girona","keywords":"Computer science; Rendering (computer graphics); Artificial intelligence; Entropy (arrow of time); Redundancy (engineering); Computer vision; Image-based modeling and rendering","score_opus":0.021589150748819477,"score_gpt":0.28078832840188345,"score_spread":0.259199177653064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029129133","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":[0.005275575,0.00032926668,0.99287015,0.00068215106,0.00019723922,0.0003940969,5.142285e-7,0.00023218647,0.000018845061],"genre_scores_gemma":[0.25739202,0.00003339744,0.7397705,0.0027427617,0.000024398105,0.000017651631,0.0000012516604,0.00001569568,0.0000023618898],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985791,0.000081008366,0.00028446747,0.0004906714,0.00021252701,0.00035223126],"domain_scores_gemma":[0.9992254,0.000046545618,0.0001054135,0.00031059643,0.00015111173,0.00016094964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002630435,0.00018450593,0.00019275188,0.00027654934,0.0002893028,0.00018471948,0.00028277255,0.000043091146,0.000002746427],"category_scores_gemma":[0.000010803016,0.00018549175,0.00006280033,0.0008696629,0.000019655381,0.0005814995,0.00012276536,0.00014399998,0.000015174615],"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":[0.000004325237,0.00013793433,0.00028222534,0.00018244346,0.00002403683,0.0000048530956,0.00029327464,0.079714574,0.009333947,0.7203069,0.00018330198,0.18953222],"study_design_scores_gemma":[0.00022146683,0.000047752357,0.00003374133,0.00008230903,0.000006207159,0.000024797568,0.0000031303312,0.9819472,0.003473374,0.010598501,0.0033493834,0.00021216989],"about_ca_topic_score_codex":0.000003186899,"about_ca_topic_score_gemma":9.2580666e-7,"teacher_disagreement_score":0.9022326,"about_ca_system_score_codex":0.00004370379,"about_ca_system_score_gemma":0.00004207202,"threshold_uncertainty_score":0.7564134},"labels":[],"label_agreement":null},{"id":"W2030732456","doi":"10.1111/1467-8659.00480","title":"Fast and Controllable Simulation of the Shattering of Brittle Objects","year":2001,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":47,"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":"Constraint (computer-aided design); Computer science; Lagrange multiplier; Object (grammar); Point (geometry); Set (abstract data type); Graphics; Brittleness; Computer graphics (images); Computer graphics; Mathematical optimization; Geometry; Mathematics; Artificial intelligence; Programming language; Physics","score_opus":0.013627058747175355,"score_gpt":0.256866227037068,"score_spread":0.24323916828989267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030732456","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":[0.064109445,0.00016361581,0.9348849,0.00020956859,0.00025315036,0.0001953345,0.0000024680219,0.00008311483,0.000098382494],"genre_scores_gemma":[0.9948215,0.00007063143,0.0046950597,0.00035931115,0.000028842058,0.000003639771,0.0000011325583,0.000008574069,0.0000113442775],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989164,0.000056490207,0.00034312953,0.00025419026,0.00023784643,0.0001919649],"domain_scores_gemma":[0.9988817,0.00012248506,0.00022600684,0.00051722495,0.00020756145,0.00004503349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002113055,0.00012714026,0.00022302881,0.000215125,0.00011403566,0.00007823078,0.00063584524,0.00006331691,0.0000014761355],"category_scores_gemma":[0.00000896818,0.00010437238,0.000108490945,0.00084343326,0.0001099446,0.00025855278,0.0006175145,0.00008734054,2.2618761e-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":[0.000011419128,0.00013278509,0.06873562,0.00009020059,0.00005896377,0.0000026701416,0.00083367294,0.005028679,0.0005176975,0.8922768,0.0003873332,0.031924125],"study_design_scores_gemma":[0.00032266896,0.00010804929,0.011610765,0.000081088896,0.0000057326847,0.00000912268,0.000006747482,0.9667055,0.001783141,0.018432971,0.000818928,0.000115272254],"about_ca_topic_score_codex":0.00003061233,"about_ca_topic_score_gemma":0.00001828885,"teacher_disagreement_score":0.96167684,"about_ca_system_score_codex":0.000005865503,"about_ca_system_score_gemma":0.00002421567,"threshold_uncertainty_score":0.42561823},"labels":[],"label_agreement":null},{"id":"W2031039416","doi":"10.1111/j.1467-8659.2010.01725.x","title":"Real‐Time Concurrent Linked List Construction on the GPU","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":148,"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":"Computer science; DirectX; OpenGL; Rendering (computer graphics); Computer graphics (images); Graphics; Data structure; Graphics pipeline; Parallel computing; Programming language; 3D computer graphics; Visualization; Artificial intelligence","score_opus":0.015523684358304214,"score_gpt":0.2675705800253749,"score_spread":0.2520468956670707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031039416","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":[0.030984033,0.000017392953,0.958594,0.003988358,0.0037719232,0.00048240085,0.00000865117,0.0011961757,0.00095704827],"genre_scores_gemma":[0.96161085,0.00015781786,0.03308603,0.0041855844,0.0007209608,0.000074713185,0.000035200217,0.000050148577,0.000078707206],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99784315,0.00013380285,0.0004406017,0.00065177504,0.00046974185,0.00046096198],"domain_scores_gemma":[0.9976447,0.00034312074,0.00023651597,0.0013129122,0.00029737662,0.00016534363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005750465,0.0003201202,0.00025972014,0.00039144116,0.0005653384,0.0006473955,0.0018439018,0.00019500278,0.000029181643],"category_scores_gemma":[0.00002147141,0.00024293373,0.00024093849,0.0010582457,0.00032909247,0.00031739412,0.00063352066,0.00070200546,0.00004612773],"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":[0.000001860111,0.00007414658,0.00062057487,0.000005120987,0.000021516718,0.0000034949478,0.00010190676,0.0000014764311,0.00029512984,0.9663157,0.0150276385,0.017531462],"study_design_scores_gemma":[0.00039325352,0.00040762124,0.0023637034,0.00006146062,0.000010953484,0.000061107,0.0000061294963,0.78473705,0.0021559938,0.13520734,0.07401807,0.00057730643],"about_ca_topic_score_codex":0.000028794775,"about_ca_topic_score_gemma":0.0000190132,"teacher_disagreement_score":0.9306268,"about_ca_system_score_codex":0.000016629605,"about_ca_system_score_gemma":0.000072716946,"threshold_uncertainty_score":0.990655},"labels":[],"label_agreement":null},{"id":"W2033684282","doi":"10.1111/j.1467-8659.2004.00749.x","title":"Visualizing Objects with Mirrors","year":2004,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","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":"Université du Québec à Chicoutimi","funders":"","keywords":"Computer science; Object (grammar); Visibility; Computer vision; Viewpoints; Artificial intelligence; Computer graphics (images); Class (philosophy); Function (biology); Image (mathematics); Optics; Physics","score_opus":0.016610167954820163,"score_gpt":0.2749014687986102,"score_spread":0.25829130084379004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033684282","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":[0.0048957,0.00012913173,0.99195004,0.0015168334,0.00046338665,0.00012596342,4.783173e-7,0.00043306264,0.0004854058],"genre_scores_gemma":[0.5775114,0.000018242092,0.41830435,0.0040843803,0.000038032966,0.0000057646225,0.0000018742115,0.000018433151,0.000017473723],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99849445,0.000022288992,0.00019024072,0.00048471303,0.00031496232,0.0004933691],"domain_scores_gemma":[0.99903774,0.000035140885,0.00008601256,0.00058723276,0.00009503489,0.000158843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010837161,0.00020392842,0.00017613593,0.00025321377,0.00026534894,0.00020640767,0.00070949586,0.00004448478,0.0000016461403],"category_scores_gemma":[0.0000047900867,0.00016835525,0.00008197002,0.0008516488,0.00008643255,0.0008462248,0.00037305773,0.00020875539,0.000033444594],"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":[0.000008530076,0.000119464836,0.0020033044,0.000020084599,0.00003060911,0.00012446773,0.00099457,0.0006284801,0.00023759957,0.94858783,0.0003127471,0.046932314],"study_design_scores_gemma":[0.0064436872,0.0017912621,0.014327006,0.00088573166,0.000025096491,0.00075498584,0.00029021446,0.6211936,0.009163077,0.29677305,0.045928806,0.0024234636],"about_ca_topic_score_codex":0.000017839026,"about_ca_topic_score_gemma":0.000023303372,"teacher_disagreement_score":0.65181476,"about_ca_system_score_codex":0.000031674546,"about_ca_system_score_gemma":0.00006716366,"threshold_uncertainty_score":0.6865328},"labels":[],"label_agreement":null},{"id":"W2039594111","doi":"10.1111/j.1467-8659.2010.01785.x","title":"Hermite Radial Basis Functions Implicits","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Numerical methods in engineering","field":"Engineering","cited_by":95,"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 British Columbia; Financiadora de Estudos e Projetos; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo; University of Calgary","keywords":"Radial basis function; Hermite interpolation; Hermite polynomials; Interpolation (computer graphics); Basis function; Basis (linear algebra); Hermite spline; Computer science; Offset (computer science); Mathematics; Surface (topology); Regularization (linguistics); Applied mathematics; Algorithm; Cubic Hermite spline; Class (philosophy); Thin plate spline; Mathematical optimization; Nearest-neighbor interpolation; Multivariate interpolation; Artificial intelligence; Mathematical analysis; Spline interpolation; Geometry; Computer vision; Image (mathematics); Bilinear interpolation; Artificial neural network","score_opus":0.007891009344777005,"score_gpt":0.22215434515678556,"score_spread":0.21426333581200854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039594111","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":[0.06692422,0.00007275181,0.92216086,0.0001260198,0.008136155,0.00011650162,0.000011305615,0.0010811625,0.0013710422],"genre_scores_gemma":[0.82134473,0.000027255886,0.17693967,0.00031100446,0.0011532678,0.000040024723,0.000010406745,0.00011900458,0.000054646847],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898833,0.0000146237435,0.00021141033,0.00021003786,0.00013162867,0.00044395553],"domain_scores_gemma":[0.9992245,0.0001320442,0.000017799297,0.00041798904,0.00003477083,0.00017290132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012603727,0.00020808209,0.00019292402,0.00021291392,0.00009437796,0.00005332575,0.00026288722,0.00015057826,0.000038278275],"category_scores_gemma":[0.000018927063,0.00022129386,0.00013839001,0.00050947827,0.000050645715,0.0001320844,0.00007814907,0.00065389,0.000053433803],"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":[0.000011474022,0.000111306814,0.011777502,0.000177865,0.00041203262,0.000039830746,0.00023445391,0.06507522,0.037947837,0.11170555,0.043371037,0.7291359],"study_design_scores_gemma":[0.0003423522,0.000053131942,0.0110798115,0.00001746862,0.00002584051,0.000060870305,0.0000063612842,0.7866764,0.0022593108,0.00319166,0.19571464,0.00057215284],"about_ca_topic_score_codex":0.000003883729,"about_ca_topic_score_gemma":0.0000121561425,"teacher_disagreement_score":0.7544205,"about_ca_system_score_codex":0.000015579823,"about_ca_system_score_gemma":0.0000066871758,"threshold_uncertainty_score":0.90241015},"labels":[],"label_agreement":null},{"id":"W2040355224","doi":"10.1111/j.1467-8659.2008.01204.x","title":"Animating Causal Overlays","year":2008,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":10,"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; Public Safety Canada","keywords":"Causality (physics); Computer science; Perception; Context (archaeology); Visualization; Causal model; Dimension (graph theory); Cognitive psychology; Human–computer interaction; Artificial intelligence; Psychology; Mathematics","score_opus":0.028978387480187804,"score_gpt":0.2691838588696616,"score_spread":0.24020547138947382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040355224","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":[0.0048225196,0.000052317704,0.992786,0.00054922287,0.0005131263,0.0000624037,0.0000051153297,0.00032859182,0.00088069757],"genre_scores_gemma":[0.87300515,0.00011085947,0.11868876,0.007582488,0.00026741892,0.0000050358058,0.000046907684,0.000026969308,0.0002663833],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987319,0.000036916455,0.0002499731,0.00033904723,0.00030359003,0.0003385706],"domain_scores_gemma":[0.99907994,0.00005179807,0.00009286294,0.0005515799,0.000099984645,0.00012383323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013294564,0.00014505794,0.0001550339,0.00018883494,0.000335036,0.00015031395,0.000854789,0.0000569471,0.000008405388],"category_scores_gemma":[0.00001299597,0.00014201258,0.00009059824,0.00073213264,0.00007347096,0.0005852399,0.00051250245,0.00013165743,0.00006835133],"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":[6.794453e-7,0.0000559523,0.007253967,0.000008132796,0.000016827818,0.00004876647,0.00023729849,0.00006238892,0.000021800077,0.9539021,0.03519233,0.0031997152],"study_design_scores_gemma":[0.00026218873,0.0000822284,0.0043214783,0.000017103774,0.0000032794972,0.00012003385,0.0000068585828,0.9536606,0.00012319004,0.0051481966,0.036006324,0.00024852832],"about_ca_topic_score_codex":0.000009611949,"about_ca_topic_score_gemma":0.0000057942448,"teacher_disagreement_score":0.9535982,"about_ca_system_score_codex":0.00001317472,"about_ca_system_score_gemma":0.000051119398,"threshold_uncertainty_score":0.57911044},"labels":[],"label_agreement":null},{"id":"W2045934304","doi":"10.1111/1467-8659.t01-1-00609","title":"Dynamic Textures for Image-based Rendering of Fine-Scale 3D Structure and Animation of Non-rigid Motion","year":2002,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":16,"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 vision; Artificial intelligence; Rendering (computer graphics); Computer science; Texture atlas; Projective texture mapping; Texture filtering; Computer graphics (images); Animation; Bidirectional texture function; Image texture; Image (mathematics); Image processing","score_opus":0.008902852809433596,"score_gpt":0.24639158004449863,"score_spread":0.23748872723506503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045934304","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":[0.017965684,0.0001318735,0.98107815,0.00038003817,0.00017661836,0.0001868476,0.000015823542,0.000046034605,0.000018959354],"genre_scores_gemma":[0.55473,0.000008559143,0.44514015,0.00009307005,0.000009001095,0.0000022130441,0.0000061470632,0.0000067284286,0.0000041020285],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990965,0.000016133206,0.0002670565,0.00027625295,0.00015672711,0.00018733888],"domain_scores_gemma":[0.9992468,0.00006422125,0.00019073865,0.00031444395,0.00013976428,0.000044070348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000076796125,0.00012999872,0.0001914466,0.00022331164,0.000090674315,0.0000450133,0.00028301013,0.000052445568,0.0000027049762],"category_scores_gemma":[0.000009472974,0.00012194707,0.00007446874,0.00029215295,0.000080121914,0.00041566658,0.000116616684,0.00008904945,2.3804512e-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":[0.00002687732,0.00018379053,0.0027105152,0.000745594,0.00004230448,0.0000030630465,0.00097445794,0.004970282,0.05569941,0.018808825,0.0014057445,0.9144291],"study_design_scores_gemma":[0.0005352229,0.00012841879,0.0040820497,0.00006998178,0.000005566886,0.0000055846344,0.000005202172,0.9819257,0.007828898,0.0051461644,0.00014997041,0.00011724262],"about_ca_topic_score_codex":0.0000023429216,"about_ca_topic_score_gemma":0.000007127389,"teacher_disagreement_score":0.9769554,"about_ca_system_score_codex":0.000009908612,"about_ca_system_score_gemma":0.0000073080655,"threshold_uncertainty_score":0.49728572},"labels":[],"label_agreement":null},{"id":"W2047828610","doi":"10.1111/j.1467-8659.2009.01689.x","title":"Isosurface Similarity Maps","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":87,"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":"Isosurface; Computer science; Visualization; Similarity (geometry); Data visualization; Set (abstract data type); Representation (politics); Histogram; Data mining; Similarity measure; Function representation; Data set; Artificial intelligence; Pattern recognition (psychology); Theoretical computer science; Image (mathematics); Object (grammar)","score_opus":0.012995437728769715,"score_gpt":0.26479734747730904,"score_spread":0.25180190974853933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047828610","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":[0.008013744,0.000052669177,0.98541033,0.0017549698,0.0025053401,0.00025401285,0.000008063208,0.0014302492,0.0005706168],"genre_scores_gemma":[0.7903247,0.000068961366,0.20374459,0.005386291,0.00031722384,0.000026607424,0.000026341644,0.000042380678,0.000062937426],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99772155,0.00006994531,0.00042339787,0.000755533,0.00044376357,0.0005858326],"domain_scores_gemma":[0.9976781,0.000113364265,0.00015776824,0.0015037437,0.00029588744,0.00025112007],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005167913,0.00032138513,0.0002841668,0.00046325277,0.00037893344,0.00059279386,0.0022806204,0.0002422014,0.000012554638],"category_scores_gemma":[0.0000147139435,0.00032111537,0.00024359142,0.0012966805,0.00014902774,0.0006791163,0.0012216342,0.00070413534,0.000027202312],"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":[0.0000012950298,0.00009840425,0.005058025,0.000009978787,0.000017238488,0.000009664644,0.0000969389,0.000003002683,0.00014711516,0.9661442,0.019462552,0.0089516],"study_design_scores_gemma":[0.00034386312,0.00018070953,0.004342502,0.000018492372,0.0000062371373,0.000054896274,0.0000027516471,0.5199721,0.0026166004,0.30363232,0.16823216,0.00059741444],"about_ca_topic_score_codex":0.000026667834,"about_ca_topic_score_gemma":0.00006970724,"teacher_disagreement_score":0.7823109,"about_ca_system_score_codex":0.000010204339,"about_ca_system_score_gemma":0.000071689516,"threshold_uncertainty_score":0.99992406},"labels":[],"label_agreement":null},{"id":"W2050941451","doi":"10.1111/1467-8659.00386","title":"Observational Models of Graphite Pencil Materials","year":2000,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":134,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Electronic Arts (Canada); University of Alberta","funders":"","keywords":"Rendering (computer graphics); Pencil (optics); Computer graphics (images); Computer science; 3D rendering; Artificial intelligence; Computer vision; Optics; Physics","score_opus":0.04909561616008549,"score_gpt":0.27493059209943815,"score_spread":0.22583497593935267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050941451","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":[0.055848055,0.00013000482,0.94206005,0.00041614665,0.00040216543,0.00026047774,0.0000241741,0.0004647019,0.0003942507],"genre_scores_gemma":[0.9298079,0.00040761032,0.0674894,0.0019719505,0.00011572073,0.000034668796,0.000053929365,0.000029677838,0.00008914841],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9976197,0.00010293355,0.00071262405,0.00057470845,0.0005713746,0.0004186885],"domain_scores_gemma":[0.99828374,0.0000833101,0.00020870692,0.0009422133,0.00035610617,0.00012589143],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00044613302,0.00028283452,0.0003846131,0.00049952965,0.00018595751,0.00019360027,0.0016269841,0.00014163755,0.000080855825],"category_scores_gemma":[0.0000032387911,0.0002831582,0.0002218888,0.0014636464,0.00013541048,0.0009923303,0.00037808175,0.00013535608,0.0000093780845],"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":[0.000006022067,0.000105631865,0.0006864927,0.000023324523,0.000030782947,0.0000034284478,0.0001604806,0.00014044721,0.00018358373,0.98505175,0.0024359426,0.011172118],"study_design_scores_gemma":[0.0003456188,0.00021545288,0.0037666326,0.00006858936,0.000007836594,0.00002009204,0.0000021386961,0.48689684,0.003996489,0.49547985,0.008802234,0.00039820556],"about_ca_topic_score_codex":0.000049283226,"about_ca_topic_score_gemma":0.00000570112,"teacher_disagreement_score":0.8745706,"about_ca_system_score_codex":0.0000131303195,"about_ca_system_score_gemma":0.00007581213,"threshold_uncertainty_score":0.99996203},"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":"W2052387360","doi":"10.1111/j.1467-8659.2012.03136.x","title":"Progressive Virtual Beam Lights","year":2012,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Université de Montréal","funders":"","keywords":"Computer science; Rendering (computer graphics); Computer graphics (images); Ground truth; Computer vision; Gravitational singularity; Virtual reality; Artificial intelligence; Physics","score_opus":0.0153653839715966,"score_gpt":0.27256246575773263,"score_spread":0.25719708178613604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052387360","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":[0.00983146,0.00069851626,0.9852343,0.00044930648,0.0019826093,0.0003325636,0.0000031874506,0.001218706,0.00024935443],"genre_scores_gemma":[0.9626556,0.00005104951,0.03425629,0.0022512889,0.0006293022,0.00005745582,0.000017775632,0.000034581848,0.0000466558],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99757713,0.00008751978,0.0004267859,0.00053456664,0.00049923226,0.00087478483],"domain_scores_gemma":[0.9981047,0.000098647135,0.00020263618,0.0009934283,0.00023384039,0.00036676327],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00040612376,0.00034060125,0.0002942888,0.0005721442,0.0003626198,0.00039639915,0.0015858851,0.0001734396,0.000008984605],"category_scores_gemma":[0.000008070676,0.00031216806,0.00023641934,0.0013000348,0.00012145086,0.0013554832,0.0011544344,0.00028125668,0.000041049654],"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":[0.0000018756451,0.00022995517,0.0043122624,0.000008074299,0.000034268123,0.000008857637,0.00043301866,0.0000019172483,0.000011463837,0.97274965,0.011159997,0.011048668],"study_design_scores_gemma":[0.001477148,0.002047384,0.01681784,0.0002580559,0.000047729256,0.0004807236,0.000043201824,0.52633566,0.0153130945,0.16471294,0.26963538,0.002830841],"about_ca_topic_score_codex":0.0000054957613,"about_ca_topic_score_gemma":0.0000013582992,"teacher_disagreement_score":0.9528241,"about_ca_system_score_codex":0.000026261841,"about_ca_system_score_gemma":0.0000483193,"threshold_uncertainty_score":0.99993306},"labels":[],"label_agreement":null},{"id":"W2054656999","doi":"10.1111/j.1467-8659.2009.01490.x","title":"Fast Global Illumination on Dynamic Height Fields","year":2009,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"University of Toronto","funders":"","keywords":"Radiance; Precomputation; Global illumination; Rendering (computer graphics); Computer science; Visibility; Ray tracing (physics); Pyramid (geometry); Computer vision; Mathematics; Optics; Algorithm; Geometry; Physics; Computation","score_opus":0.009266940640697037,"score_gpt":0.2739683933372201,"score_spread":0.26470145269652307,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054656999","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":[0.0032176226,0.00008372167,0.9904511,0.0031810428,0.0008592629,0.00024073466,0.00000575758,0.00091927656,0.0010414938],"genre_scores_gemma":[0.97293884,0.00008357123,0.018352713,0.008448887,0.00009936314,0.000009018284,0.000024364626,0.000010401029,0.000032869222],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99797904,0.0000720435,0.00037104473,0.00065981876,0.00045508827,0.0004629882],"domain_scores_gemma":[0.99857897,0.000047867754,0.00014523971,0.0008794916,0.0001957579,0.00015264809],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021131887,0.00029800038,0.00024253754,0.0003729588,0.00027235676,0.0003831793,0.0013336289,0.00018688376,0.000003662891],"category_scores_gemma":[0.0000062791087,0.00029165612,0.00021101283,0.0013600071,0.000056864304,0.0004604204,0.00027711253,0.00023226779,0.000016674709],"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":[0.0000032186927,0.00013382889,0.00029657973,0.0000042366746,0.000010717018,0.000010984103,0.00007747673,0.00003841738,0.0000022298486,0.8758988,0.0046476074,0.11887592],"study_design_scores_gemma":[0.0002720606,0.0008075082,0.010159726,0.000046572277,0.0000041164285,0.000023270024,0.000002705841,0.73656493,0.000103037855,0.2462319,0.0054345075,0.00034968182],"about_ca_topic_score_codex":0.0000061624423,"about_ca_topic_score_gemma":0.000017369099,"teacher_disagreement_score":0.97209835,"about_ca_system_score_codex":0.000059663813,"about_ca_system_score_gemma":0.000040296334,"threshold_uncertainty_score":0.99995357},"labels":[],"label_agreement":null},{"id":"W2054823343","doi":"10.1111/cgf.12226","title":"TrayGen: Arranging Objects for Exhibition and Packaging","year":2013,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Color perception and design","field":"Psychology","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Exhibition; Tray; Computer science; Object (grammar); Space (punctuation); Computer graphics (images); Perception; Engineering drawing; Human–computer interaction; Computer vision; Artificial intelligence; Visual arts; Engineering; Art","score_opus":0.02375801640608608,"score_gpt":0.277074687160039,"score_spread":0.2533166707539529,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054823343","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":[0.3186135,0.00025217154,0.67336106,0.0020543756,0.0015079543,0.0009554413,0.000007700876,0.00024871374,0.0029991078],"genre_scores_gemma":[0.99324197,0.000008685902,0.003204131,0.0028923077,0.00021956103,0.00014358819,0.00001694108,0.00002136809,0.00025144988],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9991307,0.00003868577,0.00015669403,0.0002774163,0.000069523914,0.00032695426],"domain_scores_gemma":[0.9995279,0.00009620233,0.000043747812,0.00018311485,0.00005919929,0.00008986234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001289586,0.00012259727,0.00013143453,0.00018623819,0.00016969879,0.00008563986,0.00007565653,0.000089967485,0.0002472236],"category_scores_gemma":[0.0000031704867,0.000121931575,0.00008989374,0.00013953526,0.000055340344,0.00012350835,0.000028772354,0.00009914937,0.000097460965],"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":[0.00008412424,0.00024324245,0.0143583575,0.000100449724,0.00015434147,0.00001095009,0.0101,0.000008719791,0.0026469196,0.34421143,0.26064798,0.3674335],"study_design_scores_gemma":[0.010291135,0.002216251,0.5781055,0.00024402788,0.00014423477,0.0003200474,0.0073152087,0.09771817,0.00046698324,0.21499743,0.08581901,0.0023620278],"about_ca_topic_score_codex":0.00002130737,"about_ca_topic_score_gemma":0.000014882472,"teacher_disagreement_score":0.67462844,"about_ca_system_score_codex":0.000008966926,"about_ca_system_score_gemma":0.000006423112,"threshold_uncertainty_score":0.49722254},"labels":[],"label_agreement":null},{"id":"W2056219830","doi":"10.1111/j.1467-8659.2007.01098.x","title":"A Sketch‐Based User Interface for Reconstructing Architectural Drawings","year":2007,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","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 Victoria","funders":"","keywords":"Rendering (computer graphics); Computer science; Sketch; Polygon (computer graphics); Computer graphics (images); Computer vision; Perspective (graphical); Perception; Artificial intelligence; 3D reconstruction; Algorithm","score_opus":0.013782845286612172,"score_gpt":0.289339637589389,"score_spread":0.27555679230277685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056219830","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":[0.015885914,0.000073127405,0.9800634,0.0016635684,0.00151304,0.00029184145,0.0000022244897,0.00038234962,0.00012454267],"genre_scores_gemma":[0.39297277,9.640486e-7,0.60424495,0.0026156737,0.0001089736,0.0000063079747,0.0000022853194,0.00001889032,0.00002920464],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99803,0.000027879832,0.00039989108,0.0005814008,0.00021944691,0.0007413519],"domain_scores_gemma":[0.9985167,0.00042712584,0.00016388818,0.0005624089,0.00015584109,0.00017408552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005479339,0.00024163802,0.00023048403,0.00039715893,0.0003366071,0.00025380362,0.0009763887,0.00006936707,0.0000027429883],"category_scores_gemma":[0.000042203414,0.00022839288,0.00021830096,0.0005690619,0.000113331516,0.0005382175,0.00038242302,0.00029380625,0.0000068967224],"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":[0.000041841435,0.000053727235,0.005501579,0.000050604984,0.000031007723,0.000014208226,0.0005283138,0.0004801577,0.000661725,0.113449045,0.0015050869,0.8776827],"study_design_scores_gemma":[0.00097355735,0.00017427641,0.00095591386,0.0001228405,0.000005160641,0.00008924282,0.000042972966,0.9394283,0.0074783745,0.023275308,0.027026884,0.00042713276],"about_ca_topic_score_codex":0.0000053327653,"about_ca_topic_score_gemma":0.0000133236745,"teacher_disagreement_score":0.93894815,"about_ca_system_score_codex":0.00003318674,"about_ca_system_score_gemma":0.000043015378,"threshold_uncertainty_score":0.9313591},"labels":[],"label_agreement":null},{"id":"W2058318782","doi":"10.1111/j.1467-8659.2009.01441.x","title":"Visualization Techniques for Schedule Comparison","year":2009,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","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 British Columbia; University of Victoria","funders":"","keywords":"Gantt chart; Computer science; Visualization; Schedule; ENCODE; Information retrieval; Scheduling (production processes); Data mining; Systems engineering","score_opus":0.02696178369461354,"score_gpt":0.33502976516343547,"score_spread":0.3080679814688219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058318782","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":[0.00012118191,0.000059945938,0.99664736,0.0017102542,0.00029898153,0.00027955277,0.00000756057,0.00064654055,0.00022861421],"genre_scores_gemma":[0.357541,0.000051900708,0.62802744,0.013630944,0.0003065965,0.000024972416,0.00027598336,0.000026254611,0.000114910996],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986708,0.000034749104,0.0003491052,0.0003861118,0.00023376662,0.00032545094],"domain_scores_gemma":[0.99896526,0.00004745857,0.0001435579,0.0005166147,0.00022490331,0.00010217835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024550615,0.00016900423,0.00021440435,0.00030000028,0.00022129326,0.0003605257,0.000860004,0.000096444135,0.0000022333986],"category_scores_gemma":[0.000018821134,0.00016851458,0.00011768693,0.0007584215,0.000034677036,0.0005826323,0.00014350889,0.00008388424,0.000008893701],"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":[0.0000021615958,0.00012959531,0.00047910266,0.00000873712,0.000008453755,5.9131423e-7,0.00006166859,0.00001629583,0.000058024652,0.93950516,0.03174684,0.027983388],"study_design_scores_gemma":[0.00022924846,0.00032604655,0.00027472666,0.000025273668,0.000006777335,0.0000031836855,0.000006153657,0.8646365,0.0022564617,0.03564079,0.096373804,0.00022102194],"about_ca_topic_score_codex":0.0000011540395,"about_ca_topic_score_gemma":0.0000029643725,"teacher_disagreement_score":0.9038643,"about_ca_system_score_codex":0.000017977713,"about_ca_system_score_gemma":0.0000354469,"threshold_uncertainty_score":0.6871825},"labels":[],"label_agreement":null},{"id":"W2058484722","doi":"10.1111/j.1467-8659.2012.03132.x","title":"Polynomial Optics: A Construction Kit for Efficient Ray‐Tracing of Lens Systems","year":2012,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"University of British Columbia","funders":"","keywords":"Ray tracing (physics); Rendering (computer graphics); Computer science; Wavefront; Nonlinear system; Computation; Ray transfer matrix analysis; Geometrical optics; Lens (geology); Algorithm; Computer graphics (images); Optics; Physics","score_opus":0.022576589966971778,"score_gpt":0.26883649052017883,"score_spread":0.24625990055320704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058484722","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":[0.016985385,0.00040388858,0.97714907,0.00011034005,0.0042604706,0.0006368946,0.000016920289,0.0003677039,0.00006933654],"genre_scores_gemma":[0.8909299,0.000042379528,0.1083455,0.00017867745,0.0004131436,0.00004852932,0.000012537591,0.000023980998,0.000005382904],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997908,0.000078809346,0.0006431427,0.0004125394,0.00034137105,0.00061612134],"domain_scores_gemma":[0.9982394,0.00018999587,0.00037271212,0.0006642412,0.0003775745,0.00015609156],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00068243354,0.00026129387,0.00038675911,0.0006249592,0.00024288605,0.0002001024,0.0007655407,0.00016087295,7.459296e-7],"category_scores_gemma":[0.000013614916,0.0002622067,0.0002770556,0.0007536362,0.0001379327,0.0004809758,0.00039432375,0.00015189097,0.0000016675925],"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":[0.00000817102,0.00015309008,0.002264809,0.000111720496,0.000052209853,4.917276e-7,0.0004421768,0.00071422145,0.000076901146,0.9901987,0.002600932,0.0033766204],"study_design_scores_gemma":[0.00050965825,0.00026578835,0.00052862836,0.00011661972,0.000021261463,0.000039354323,0.000035734938,0.9900996,0.0016944911,0.0010525602,0.0052909446,0.000345364],"about_ca_topic_score_codex":0.000019240237,"about_ca_topic_score_gemma":0.0000011285443,"teacher_disagreement_score":0.98938537,"about_ca_system_score_codex":0.000031936554,"about_ca_system_score_gemma":0.000057972793,"threshold_uncertainty_score":0.999983},"labels":[],"label_agreement":null},{"id":"W2058987444","doi":"10.1111/1467-8659.00684","title":"Precise Ink Drawing of 3D Models","year":2003,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":36,"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":"Polygon mesh; Computer science; Rendering (computer graphics); Curvature; Computer graphics (images); Non-photorealistic rendering; Enhanced Data Rates for GSM Evolution; Artificial intelligence; Process (computing); Computer vision; Feature (linguistics); Geometry; Animation; Mathematics; Computer animation; Computer facial animation","score_opus":0.024716520557592023,"score_gpt":0.2677202643839034,"score_spread":0.24300374382631137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058987444","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":[0.0031097648,0.00030011838,0.993938,0.00010141885,0.0006587477,0.0002575647,0.0000027574904,0.0004576566,0.0011739195],"genre_scores_gemma":[0.79307115,0.0001375044,0.20611311,0.00056930433,0.00003979833,0.00001837245,0.0000045180955,0.000025504249,0.000020701189],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99782467,0.00014156126,0.00057190127,0.0005738007,0.00043693712,0.00045115888],"domain_scores_gemma":[0.99810314,0.00011817869,0.0002365307,0.0010710799,0.00032770954,0.00014337103],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00052882347,0.00026916477,0.00035156278,0.0006538628,0.00018468173,0.00019755572,0.0013020174,0.0001434336,0.0000043933105],"category_scores_gemma":[0.000013136591,0.00027172436,0.0002124722,0.0014897032,0.000105589315,0.00080050743,0.0005202894,0.0002114421,0.000002741075],"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":[0.000001381996,0.000102203085,0.00086627854,0.00002406495,0.000026141995,0.0000037722434,0.00029958464,0.00020283503,0.000023565553,0.9890155,0.0012916436,0.008143018],"study_design_scores_gemma":[0.0002579663,0.00015171581,0.00012727678,0.00005987252,0.0000058977566,0.000016052863,0.0000038810495,0.6605063,0.0027252631,0.33072603,0.005142113,0.00027759283],"about_ca_topic_score_codex":0.000012279671,"about_ca_topic_score_gemma":0.0000046372375,"teacher_disagreement_score":0.7899614,"about_ca_system_score_codex":0.000016459351,"about_ca_system_score_gemma":0.000089059424,"threshold_uncertainty_score":0.9999735},"labels":[],"label_agreement":null},{"id":"W2059009940","doi":"10.1111/j.1467-8659.2009.01427.x","title":"Interactive Graphics for Computer Adaptive Testing","year":2009,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Teaching and Learning Programming","field":"Computer Science","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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Graphics; Computer graphics; Multimedia; Graphics software; Human–computer interaction; Animation; Real-time computer graphics; Computerized adaptive testing; Computer graphics (images); 3D computer graphics","score_opus":0.03402732932072379,"score_gpt":0.2733836237078719,"score_spread":0.23935629438714812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059009940","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":[0.002201064,0.000110698755,0.99293303,0.0018120566,0.0013274718,0.00045355372,0.0000036155272,0.0010586837,0.000099800534],"genre_scores_gemma":[0.38407582,0.0000028570928,0.61239254,0.0030707258,0.0003884418,0.000020384354,0.000008995978,0.000021965132,0.00001828581],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99726725,0.00015881786,0.0004407934,0.0009024378,0.00034658995,0.00088413537],"domain_scores_gemma":[0.99753827,0.0008609679,0.00028506262,0.000730016,0.00037165105,0.00021402775],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006646664,0.00040033052,0.000390838,0.00049016415,0.0006905608,0.00058131973,0.0014204954,0.00016836467,6.145847e-7],"category_scores_gemma":[0.000060090326,0.0003926724,0.0003251257,0.001067957,0.00009507916,0.0007369341,0.00036077286,0.0007830665,0.000010199955],"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":[0.00001837569,0.0001435552,0.0007166234,0.000010363555,0.00005266685,0.000014273802,0.00089703256,0.0006116654,0.00000751541,0.3362433,0.0026350769,0.65864956],"study_design_scores_gemma":[0.00074847223,0.0021420578,0.0050586206,0.00015308539,0.000018965708,0.00007140344,0.000027798747,0.928456,0.00003389283,0.022376496,0.04031405,0.00059917744],"about_ca_topic_score_codex":0.000027573098,"about_ca_topic_score_gemma":0.000006753771,"teacher_disagreement_score":0.92784435,"about_ca_system_score_codex":0.000045602883,"about_ca_system_score_gemma":0.00006960978,"threshold_uncertainty_score":0.99985254},"labels":[],"label_agreement":null},{"id":"W2061745545","doi":"10.1111/j.1467-8659.2012.03027.x","title":"Metering for Exposure Stacks","year":2012,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Image Enhancement Techniques","field":"Computer Science","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":"Nokia (Canada)","funders":"","keywords":"High dynamic range; Computer science; Computer vision; Histogram; Set (abstract data type); Artificial intelligence; Irradiance; Range (aeronautics); Metering mode; Sequence (biology); Image quality; Image (mathematics); Computer graphics (images); Dynamic range; Optics","score_opus":0.021042614154264845,"score_gpt":0.2653379218052852,"score_spread":0.24429530765102037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061745545","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":[0.0033735733,0.00032168592,0.99299914,0.0004623166,0.0014852561,0.0003852901,0.0000033876909,0.00071499374,0.00025434606],"genre_scores_gemma":[0.52720034,0.000014301846,0.4711801,0.0011943253,0.0002477292,0.00008909179,0.0000052264563,0.000018579094,0.00005032548],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99847674,0.000033818647,0.00024242922,0.00031317875,0.00021917943,0.00071464916],"domain_scores_gemma":[0.9988963,0.0000897314,0.00009119624,0.00069390185,0.00010251008,0.00012635431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044483863,0.00019146301,0.00018013477,0.00020577411,0.00017593446,0.0001747768,0.0009918746,0.00008068688,0.0000032185],"category_scores_gemma":[0.000010008087,0.00018677456,0.00014784232,0.00032255962,0.000040059276,0.0011947113,0.0005639794,0.00012882071,0.000011683173],"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":[0.00000641454,0.00015310226,0.004911289,0.000057862715,0.000058270514,0.0000023486184,0.00059121026,0.0000040116706,0.0016319017,0.8595337,0.028902568,0.104147315],"study_design_scores_gemma":[0.0019790137,0.001811409,0.0084008295,0.00017765432,0.000050514707,0.00008711918,0.000041708885,0.23796855,0.13451193,0.08063872,0.5320764,0.0022561399],"about_ca_topic_score_codex":0.0000024183287,"about_ca_topic_score_gemma":0.0000013307929,"teacher_disagreement_score":0.77889496,"about_ca_system_score_codex":0.000026138348,"about_ca_system_score_gemma":0.000016580092,"threshold_uncertainty_score":0.76164454},"labels":[],"label_agreement":null},{"id":"W2072589092","doi":"10.1111/j.1467-8659.2008.01233.x","title":"Interactive Exploratory Visualization of 2D Vector Fields","year":2008,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","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":"University of Calgary","funders":"","keywords":"Glyph (data visualization); Computer science; Visualization; Computer graphics (images); Animation; Set (abstract data type); Field (mathematics); Computer animation; Euclidean vector; Vector field; Artificial intelligence; Computer vision; Mathematics","score_opus":0.029469747615883286,"score_gpt":0.28776881194031645,"score_spread":0.25829906432443317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072589092","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":[0.006906149,0.000047757563,0.9917087,0.00024284255,0.00065334333,0.0000816055,0.000005908474,0.00013626527,0.00021743873],"genre_scores_gemma":[0.9921434,0.000105717205,0.006028823,0.001543728,0.000075396885,0.00000441394,0.000037640693,0.000011810219,0.00004905687],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887943,0.000067097106,0.00030659774,0.00028071305,0.0002702607,0.00019590119],"domain_scores_gemma":[0.99896044,0.000073062336,0.00016838286,0.0004722643,0.00024494602,0.00008091686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011048449,0.0001319435,0.0001855131,0.0002803776,0.00012510661,0.000050090857,0.0006578925,0.00007368603,0.000010073797],"category_scores_gemma":[0.000021021558,0.00013063845,0.00009792144,0.0007955267,0.00008677664,0.00073849224,0.00034438292,0.00009964535,0.000017005414],"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":[0.000006486814,0.00022321897,0.004921182,0.000028468281,0.00005459894,0.000019006007,0.0023470074,0.00013337958,0.00006558048,0.9628703,0.0268654,0.002465346],"study_design_scores_gemma":[0.0006041531,0.00034681687,0.0040680766,0.00007329578,0.00001156705,0.00003318617,0.000071931914,0.96663,0.0042634886,0.0062178345,0.017283084,0.00039656257],"about_ca_topic_score_codex":0.0000064068413,"about_ca_topic_score_gemma":0.000007781761,"teacher_disagreement_score":0.98567986,"about_ca_system_score_codex":0.000013533396,"about_ca_system_score_gemma":0.00006378445,"threshold_uncertainty_score":0.53272814},"labels":[],"label_agreement":null},{"id":"W2074930180","doi":"10.1111/j.1467-8659.2009.01364.x","title":"Shadowing Dynamic Scenes with Arbitrary BRDFs","year":2009,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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 Toronto","funders":"National Science Foundation","keywords":"Visibility; Bidirectional reflectance distribution function; Computer science; Representation (politics); Computer vision; Animation; Computer graphics (images); Artificial intelligence; Computation; Heuristics; On the fly; Product (mathematics); Reflectivity; Algorithm; Optics; Mathematics; Geometry","score_opus":0.009017925408899783,"score_gpt":0.25297215208611556,"score_spread":0.24395422667721578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074930180","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":[0.007570027,0.00029409674,0.9876934,0.0019848067,0.00036356077,0.00028476203,0.0000021887513,0.0014598346,0.00034726586],"genre_scores_gemma":[0.8621391,0.0001172507,0.12997246,0.007598746,0.0000933909,0.000012201283,0.000017112214,0.00002696417,0.00002273919],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99762493,0.000068371126,0.00040178545,0.00079530413,0.00048472657,0.0006248742],"domain_scores_gemma":[0.9983125,0.000062896266,0.00015740855,0.0010592687,0.0002045373,0.00020339947],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00026003429,0.00037556575,0.0003358826,0.00068733946,0.00035709862,0.0005921601,0.0016564152,0.00013430715,0.0000026360976],"category_scores_gemma":[0.0000031169463,0.0003306967,0.00019277309,0.0016990014,0.00009145115,0.0009219234,0.00035449408,0.00032059342,0.000006755917],"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":[0.000005761985,0.0001232164,0.0017259626,0.000011076147,0.000026781147,0.000040929357,0.00014607611,0.00001682418,0.000023076811,0.95632756,0.0012429224,0.0403098],"study_design_scores_gemma":[0.000493534,0.0009179544,0.014089329,0.00015044148,0.000010915496,0.00011743154,0.000005853477,0.80217266,0.00043614412,0.17538914,0.0055411803,0.00067541044],"about_ca_topic_score_codex":0.000008939686,"about_ca_topic_score_gemma":0.00001395936,"teacher_disagreement_score":0.857721,"about_ca_system_score_codex":0.0000265742,"about_ca_system_score_gemma":0.00007951803,"threshold_uncertainty_score":0.9999145},"labels":[],"label_agreement":null},{"id":"W2075418377","doi":"10.1111/j.1467-8659.2009.01639.x","title":"Tetrahedral Embedded Boundary Methods for Accurate and Flexible Adaptive Fluids","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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","funders":"","keywords":"Computer science; Polygon mesh; Boundary (topology); Delaunay triangulation; Computational science; Tetrahedron; Spurious relationship; Volume mesh; Mesh generation; Algorithm; Flexibility (engineering); Cartesian coordinate system; Topology (electrical circuits); Geometry; Finite element method; Computer graphics (images); Mathematics; Structural engineering","score_opus":0.029680895517839152,"score_gpt":0.35725284183595113,"score_spread":0.327571946318112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075418377","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":[0.0018295072,0.00026128476,0.99358773,0.00061672064,0.0020223963,0.0006223864,0.000014274315,0.0009371868,0.00010852354],"genre_scores_gemma":[0.08705742,0.0000828517,0.91055375,0.0018577118,0.000239989,0.00010404495,0.00002032759,0.00004059735,0.000043322234],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976637,0.00012435784,0.0004808061,0.0008726575,0.00022840245,0.00063012075],"domain_scores_gemma":[0.9978842,0.00035273394,0.00017567615,0.0009226171,0.00040261817,0.00026212816],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009789575,0.0003910113,0.00040915326,0.0006076827,0.00058605755,0.0008636811,0.001308158,0.00024696303,0.0000037893994],"category_scores_gemma":[0.000032442225,0.00036703204,0.00024895868,0.0009805483,0.00027050154,0.0008595615,0.00094767095,0.00046323807,0.0000019013306],"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":[0.0000078728235,0.00005904945,0.0002117406,0.00002037437,0.000042168278,0.0000019675558,0.00025854656,0.0000011865695,0.0006530529,0.9007639,0.0040335646,0.093946554],"study_design_scores_gemma":[0.00042276533,0.0004150253,0.00064919784,0.00001920108,0.000011338097,0.000036699847,0.000007278059,0.6700266,0.0046731965,0.27387586,0.049461655,0.00040116106],"about_ca_topic_score_codex":0.000009715382,"about_ca_topic_score_gemma":0.00001574069,"teacher_disagreement_score":0.6700254,"about_ca_system_score_codex":0.000011741664,"about_ca_system_score_gemma":0.00012145952,"threshold_uncertainty_score":0.99987817},"labels":[],"label_agreement":null},{"id":"W2080378521","doi":"10.1111/cgf.12441","title":"What Makes London Work Like London?","year":2014,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Automated Road and Building Extraction","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":"Categorization; Computer science; Focus (optics); Street network; Set (abstract data type); Artificial intelligence; Range (aeronautics); Contrast (vision); Ranging; Computer vision; Transport engineering","score_opus":0.0062143370943749734,"score_gpt":0.19806425603667846,"score_spread":0.1918499189423035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080378521","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":[0.34804106,0.0027855674,0.6271126,0.0006772457,0.016996268,0.0002655529,0.0000024492715,0.003434543,0.00068467704],"genre_scores_gemma":[0.9957579,0.0006568575,0.0023378439,0.00057605346,0.00045530955,0.000009959167,0.00002262784,0.000061243416,0.00012223072],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999045,0.00002216344,0.00019490594,0.00021248648,0.00015819658,0.0003672097],"domain_scores_gemma":[0.9994776,0.000059644197,0.000036311587,0.0003088302,0.000033314747,0.00008426254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001251198,0.00019795529,0.00017710468,0.00018273595,0.000110126595,0.00022551193,0.00019885197,0.00015457677,0.000012483224],"category_scores_gemma":[0.0000026702523,0.00019164091,0.00010938313,0.0003619328,0.000035305533,0.00045107986,0.00005192417,0.00026361135,0.00008784413],"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":[0.000038911487,0.00018335915,0.01612866,0.00033872438,0.00033675868,0.000038322916,0.0004980653,0.06315317,0.0009719091,0.038008306,0.33931077,0.54099303],"study_design_scores_gemma":[0.00047141066,0.00008990856,0.008347041,0.00027201563,0.000027232802,0.000030018391,0.000018692526,0.5607061,0.00082023337,0.0030971847,0.42559585,0.0005243191],"about_ca_topic_score_codex":0.0000025752709,"about_ca_topic_score_gemma":0.000007820781,"teacher_disagreement_score":0.6477168,"about_ca_system_score_codex":0.000020289815,"about_ca_system_score_gemma":0.0000037832147,"threshold_uncertainty_score":0.78148896},"labels":[],"label_agreement":null},{"id":"W2080905110","doi":"10.1111/j.1467-8659.2008.01129.x","title":"Sketch‐Based Procedural Surface Modeling and Compositing Using Surface Trees","year":2008,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":28,"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; Mitacs","keywords":"Procedural modeling; Compositing; Computer science; Sketch; Surface (topology); Tree (set theory); Computer graphics (images); Hierarchy; Octree; Tree structure; Data structure; Theoretical computer science; Algorithm; Artificial intelligence; Programming language; Image (mathematics); Geometry; Mathematics","score_opus":0.025614252451726487,"score_gpt":0.22095470251306396,"score_spread":0.19534045006133746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080905110","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":[0.54596245,0.00045606113,0.45313752,0.000059285452,0.00007784982,0.0000454728,0.0000030306544,0.00024217037,0.00001615778],"genre_scores_gemma":[0.9689713,0.000072641255,0.030672299,0.00014793593,0.00006503861,7.521152e-7,0.000013870696,0.00005087656,0.0000052473665],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987621,0.000024078041,0.00029750113,0.00028969356,0.0001975379,0.00042910824],"domain_scores_gemma":[0.99951494,0.000040057483,0.000036751517,0.0002070037,0.000081847975,0.000119427954],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00011846839,0.00025632684,0.00030505186,0.00012291798,0.0003648972,0.00006978647,0.00015378286,0.00009924798,0.000001470124],"category_scores_gemma":[0.0000027501756,0.0002688578,0.00013089764,0.00035242105,0.000059252958,0.00016435097,0.000060678158,0.0002390486,0.0000019185718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000030257627,0.000013003372,0.009134727,0.000045334276,0.000051199273,0.000010670115,0.00016236668,0.9895533,0.000752178,0.00006753463,0.00007414259,0.00013256306],"study_design_scores_gemma":[0.00028764474,0.000018168335,0.00009542896,0.00009000671,0.000035416513,0.000035336616,0.000030143647,0.99858665,0.00035613615,0.00012837135,0.000014262223,0.00032245147],"about_ca_topic_score_codex":0.00006519452,"about_ca_topic_score_gemma":0.00002645073,"teacher_disagreement_score":0.4230089,"about_ca_system_score_codex":0.000026775333,"about_ca_system_score_gemma":0.000024767996,"threshold_uncertainty_score":0.99997634},"labels":[],"label_agreement":null},{"id":"W2091715846","doi":"10.1111/j.1467-8659.2007.01061.x","title":"Mesh Segmentation via Spectral Embedding and Contour Analysis","year":2007,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":124,"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":"Segmentation; Embedding; Computer science; Shape analysis (program analysis); Mathematics; Measure (data warehouse); Artificial intelligence; Algorithm; Pattern recognition (psychology)","score_opus":0.007499962996502469,"score_gpt":0.23304890952049506,"score_spread":0.2255489465239926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091715846","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":[0.23331107,0.00021772904,0.7660243,0.000032462103,0.00011400247,0.00003277749,0.0000020927298,0.00015473417,0.000110870365],"genre_scores_gemma":[0.9881883,0.00006729307,0.011476774,0.00010961398,0.00010157797,0.0000013082698,0.000025775027,0.000015235899,0.000014097031],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99919254,0.000009088186,0.00021513517,0.0001745646,0.00012970952,0.00027897424],"domain_scores_gemma":[0.9996779,0.000035605477,0.000027444701,0.00013745432,0.000032049025,0.000089533845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021919413,0.00013133975,0.00020232575,0.0004869453,0.000089353045,0.00006187256,0.00007800054,0.00006112557,0.0000088523375],"category_scores_gemma":[0.0000012605938,0.00013527673,0.00015813304,0.0006730086,0.000022027794,0.00009795284,0.000024834319,0.00011773255,0.000003153503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019236146,0.00007374649,0.14236084,0.00011165471,0.0059372615,0.00006665143,0.001688951,0.752535,0.002517255,0.0080911005,0.0018101207,0.08478821],"study_design_scores_gemma":[0.00015163548,0.000015574815,0.0043838816,0.0000063939156,0.0002813521,0.0000032768069,0.000050490158,0.993632,0.00045441714,0.00080862467,0.00005361976,0.00015868513],"about_ca_topic_score_codex":0.000021263038,"about_ca_topic_score_gemma":0.00015082433,"teacher_disagreement_score":0.75487727,"about_ca_system_score_codex":0.00002041199,"about_ca_system_score_gemma":0.0000021615044,"threshold_uncertainty_score":0.55164254},"labels":[],"label_agreement":null},{"id":"W2093689800","doi":"10.1111/j.1467-8659.2005.00826.x","title":"A Bidirectional Deposition Model of Wax Crayons","year":2005,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"University of Saskatchewan","funders":"","keywords":"Wax; Computer graphics (images); Computer science; Deposition (geology); Texture (cosmology); Inkwell; Computer vision; Materials science; Composite material; Geology; Image (mathematics)","score_opus":0.020644354592072423,"score_gpt":0.2683657799537566,"score_spread":0.24772142536168418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093689800","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":[0.004624201,0.00011092958,0.9931749,0.00084454205,0.00026956075,0.00016237379,0.000007780812,0.00052176084,0.00028391107],"genre_scores_gemma":[0.6814288,0.00008383404,0.31705627,0.0012411197,0.00011823536,0.000018476221,0.000011518471,0.000015626025,0.000026142714],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984019,0.0000490155,0.00043593603,0.0004282854,0.000378481,0.00030641592],"domain_scores_gemma":[0.9987839,0.000055839555,0.00017824759,0.00058664585,0.00028660637,0.000108749155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022633465,0.00019722122,0.00022353786,0.00061855983,0.00018407975,0.00012416286,0.00085690554,0.000115130635,0.0000032553207],"category_scores_gemma":[0.0000039722627,0.00020341174,0.0002194049,0.00092762924,0.00008053117,0.00059724326,0.0004373597,0.00016224726,0.0000044778485],"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":[0.0000026126795,0.00015429099,0.0004829786,0.000011993443,0.000024157665,8.047138e-7,0.00015344447,0.0012769656,0.0002417764,0.9714381,0.00374657,0.022466294],"study_design_scores_gemma":[0.00019835138,0.00011439499,0.00036937132,0.000031516185,0.000005977701,0.000016693939,0.0000011783739,0.94078106,0.0048366953,0.051478684,0.0019545117,0.00021159557],"about_ca_topic_score_codex":0.000013063623,"about_ca_topic_score_gemma":0.000022492219,"teacher_disagreement_score":0.9395041,"about_ca_system_score_codex":0.000025664378,"about_ca_system_score_gemma":0.00007183344,"threshold_uncertainty_score":0.829489},"labels":[],"label_agreement":null},{"id":"W2095147448","doi":"10.1111/j.1467-8659.2008.01297.x","title":"Resolution Independent NPR‐Style 3D Line Textures","year":2009,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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 Victoria","funders":"National Science Foundation","keywords":"Computer science; Rendering (computer graphics); Computer graphics (images); Animation; Computer vision; Artificial intelligence; Non-photorealistic rendering; Line (geometry); Texture mapping; Clipping (morphology); Displacement mapping; Computer animation; Computer facial animation","score_opus":0.01575902984998814,"score_gpt":0.2748922680861397,"score_spread":0.2591332382361516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095147448","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":[0.0015547232,0.00040215102,0.9934085,0.0018232822,0.0007551717,0.000319008,0.0000058514347,0.0012834448,0.00044787998],"genre_scores_gemma":[0.9032229,0.00024073957,0.08715042,0.008834686,0.0003939031,0.00001712132,0.000042650045,0.000025530177,0.00007201266],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973006,0.00011359482,0.0005408179,0.0008030875,0.00061069836,0.0006311668],"domain_scores_gemma":[0.9980577,0.00006470704,0.00021801113,0.0011495596,0.0002926444,0.0002173654],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004622742,0.00035774626,0.00032384016,0.0007604506,0.0003878333,0.0005453813,0.0016995801,0.00023132584,0.0000054591924],"category_scores_gemma":[0.000008906178,0.0003482806,0.000241065,0.0014486695,0.000074439835,0.00067255966,0.00060865044,0.0003997193,0.000015689402],"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":[0.0000055073524,0.00018307561,0.00031880735,0.0000074764457,0.000018892468,0.000017437033,0.00021509542,0.000058234404,0.00004457761,0.9251338,0.01100899,0.06298805],"study_design_scores_gemma":[0.00047786155,0.00081739994,0.0059586684,0.00006374725,0.0000091990305,0.000053033567,0.000004690998,0.8071676,0.0010574388,0.15332715,0.03051337,0.0005498293],"about_ca_topic_score_codex":0.000018626752,"about_ca_topic_score_gemma":0.000018756638,"teacher_disagreement_score":0.90625805,"about_ca_system_score_codex":0.000039754654,"about_ca_system_score_gemma":0.000061220126,"threshold_uncertainty_score":0.99989694},"labels":[],"label_agreement":null},{"id":"W2097511706","doi":"10.1111/j.1467-8659.2009.01596.x","title":"Contrast‐aware Halftoning","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Color Science and Applications","field":"Physics and Astronomy","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":"Carleton University","funders":"","keywords":"Pixel; Computer science; Contrast (vision); Tone mapping; Artificial intelligence; Computer vision; Raster graphics; Random walker algorithm; Raster scan; Algorithm; Pattern recognition (psychology); High dynamic range; Dynamic range","score_opus":0.006285639901705467,"score_gpt":0.23652577033904096,"score_spread":0.2302401304373355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097511706","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":[0.51736736,0.0000057306124,0.47523087,0.0017599516,0.00069743383,0.00017840585,0.000017613318,0.00008454377,0.0046580685],"genre_scores_gemma":[0.99762756,3.0144733e-7,0.001626653,0.0002939469,0.00033486082,0.000024600391,0.000016046464,0.0000068333125,0.00006917255],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993678,0.000005108912,0.000107544445,0.00019156776,0.00008745376,0.00024054336],"domain_scores_gemma":[0.9995347,0.000035258145,0.000041580668,0.00025590183,0.000050377832,0.00008217631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000068876725,0.000085740176,0.00008315963,0.00005231805,0.00025533233,0.00008734791,0.00026062044,0.00002720372,0.00012403363],"category_scores_gemma":[5.622278e-7,0.00007939742,0.00008149644,0.0002262426,0.00008217667,0.00011208123,0.000083855026,0.00022434116,0.000050420447],"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":[5.944426e-7,0.000042826887,0.06334324,8.393257e-7,0.000010136066,3.2908613e-7,0.000049723545,0.000009918719,0.00083693676,0.90818655,0.0033165305,0.024202393],"study_design_scores_gemma":[0.0011099605,0.00012303222,0.0608975,0.000028775206,0.000038682974,0.000008157259,0.00029236282,0.22989947,0.0065524713,0.28229147,0.41782245,0.00093568314],"about_ca_topic_score_codex":0.000039696773,"about_ca_topic_score_gemma":0.000029081495,"teacher_disagreement_score":0.6258951,"about_ca_system_score_codex":0.0000016296706,"about_ca_system_score_gemma":0.000027069782,"threshold_uncertainty_score":0.32377326},"labels":[],"label_agreement":null},{"id":"W2098779819","doi":"10.1111/cgf.12307","title":"Analogy‐driven 3D style transfer","year":2014,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","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":"University of British Columbia","funders":"","keywords":"Analogy; Computer science; Set (abstract data type); Process (computing); Simple (philosophy); Transfer of learning; Artificial intelligence; Transformation (genetics); Programming language","score_opus":0.009397812953508665,"score_gpt":0.20348474148352577,"score_spread":0.1940869285300171,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2098779819","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":[0.0015603391,0.0000648285,0.9943477,0.0016504878,0.0010593497,0.00012892972,0.0000025824354,0.00018552286,0.0010002769],"genre_scores_gemma":[0.8947055,0.000026022184,0.10168784,0.0031083478,0.0003894148,0.000009383047,0.000006170192,0.0000170936,0.0000502681],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982795,0.00017681583,0.0002553942,0.0005384813,0.00024383841,0.0005059715],"domain_scores_gemma":[0.9988384,0.00013262135,0.000040168954,0.00071879255,0.00011389407,0.00015607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027527066,0.00022728107,0.0002689308,0.00018436377,0.00026677366,0.00022229497,0.0010523018,0.00010341069,0.000015153256],"category_scores_gemma":[0.000009571748,0.00020504328,0.00018893465,0.0005195458,0.00010261292,0.00045001088,0.0002643986,0.00019787997,0.000052442658],"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":[0.000008748477,0.00015235353,0.0028234913,0.000017150269,0.00013562596,0.000015271167,0.0005124273,0.0074566067,0.0003539838,0.77217835,0.020007214,0.19633879],"study_design_scores_gemma":[0.00034953104,0.00018087741,0.0020237018,0.0000141479495,0.000010482376,0.000008158587,0.0000034489449,0.9301721,0.00034259152,0.00562916,0.0609863,0.00027953487],"about_ca_topic_score_codex":0.000018319073,"about_ca_topic_score_gemma":0.000045273002,"teacher_disagreement_score":0.9227155,"about_ca_system_score_codex":0.000012167895,"about_ca_system_score_gemma":0.000024396219,"threshold_uncertainty_score":0.83614224},"labels":[],"label_agreement":null},{"id":"W2099057501","doi":"10.1111/j.1467-8659.2009.01685.x","title":"Estimation and Modeling of Actual Numerical Errors in Volume Rendering","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Simon Fraser University","funders":"","keywords":"Computer science; Rendering (computer graphics); Algorithm; Fidelity; Volume rendering; Quantization (signal processing); Data set; Transfer function; Floating point; Artificial intelligence","score_opus":0.020716465163835244,"score_gpt":0.2811083159096749,"score_spread":0.26039185074583965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099057501","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":[0.12817462,0.000027754926,0.87094223,0.00023303324,0.00031272875,0.00011495862,9.822164e-7,0.00017018226,0.000023525508],"genre_scores_gemma":[0.85996085,0.000018596296,0.1398353,0.00013849029,0.00002435645,0.000006802285,0.0000036459348,0.000010522549,0.0000014209805],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986719,0.000036046513,0.00040593703,0.00039335224,0.00022803426,0.00026475816],"domain_scores_gemma":[0.9992147,0.0000504739,0.00011589929,0.0004379332,0.00009220939,0.00008877107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032908068,0.00016374062,0.00023077133,0.00057055074,0.000085483,0.00011653524,0.00056017557,0.000121772835,0.0000013451197],"category_scores_gemma":[0.00001576085,0.0001716692,0.000070032416,0.00078024593,0.00006593027,0.00048341913,0.0005192127,0.00031548296,6.003643e-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":[0.000002957087,0.0000747032,0.009149321,0.000026959771,0.000009352302,0.0000036230795,0.00060966454,0.001880426,0.00010512018,0.9444596,0.00008889231,0.04358936],"study_design_scores_gemma":[0.0001753024,0.00008606194,0.0021175267,0.00003139935,0.0000021540384,0.000015403377,0.000005750438,0.9552685,0.00021824444,0.041771185,0.00013608084,0.00017238926],"about_ca_topic_score_codex":0.000054629138,"about_ca_topic_score_gemma":0.000035713456,"teacher_disagreement_score":0.9533881,"about_ca_system_score_codex":0.000007268977,"about_ca_system_score_gemma":0.000033962766,"threshold_uncertainty_score":0.7000467},"labels":[],"label_agreement":null},{"id":"W2099921828","doi":"10.1111/j.1467-8659.2009.01379.x","title":"A Part‐aware Surface Metric for Shape Analysis","year":2009,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":88,"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":"Geodesic; Computer science; Surface (topology); Metric (unit); Segmentation; Shape analysis (program analysis); Computer vision; Context (archaeology); Geometric primitive; Representation (politics); Artificial intelligence; Point cloud; Mathematics; Geometry","score_opus":0.014274482312794948,"score_gpt":0.22788404017476677,"score_spread":0.21360955786197183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099921828","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":[0.058364343,0.0007854499,0.9397005,0.0003011079,0.00019857974,0.00010215072,0.000031869353,0.00043489638,0.00008112283],"genre_scores_gemma":[0.9932347,0.00012413382,0.0059764995,0.0003825798,0.00011939504,0.0000052363434,0.00008988536,0.000022578659,0.000045008364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988277,0.000013776716,0.0002851342,0.00028300943,0.00017392366,0.00041647506],"domain_scores_gemma":[0.99933386,0.000071643706,0.000036101937,0.00034551974,0.000100219055,0.00011267299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016884852,0.00020728,0.0003818771,0.0006673624,0.00012498573,0.00008666801,0.00025418514,0.00010494239,0.000015596306],"category_scores_gemma":[0.000005545657,0.00020509546,0.00059830805,0.0027708728,0.000014618173,0.00009058604,0.000022670944,0.00013641268,0.000008783611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000039431698,0.000042128228,0.0028680952,0.000024985931,0.0011657735,0.000003907067,0.0000547845,0.9647333,0.000013898467,0.00160958,0.008651362,0.02082821],"study_design_scores_gemma":[0.0001858856,0.0000552134,0.00052225444,0.000009743932,0.00052362523,0.0000012145296,0.000008261848,0.9945432,0.000048543912,0.0014225815,0.0024279826,0.0002514702],"about_ca_topic_score_codex":0.0000039503684,"about_ca_topic_score_gemma":0.000017458646,"teacher_disagreement_score":0.93487036,"about_ca_system_score_codex":0.000020312751,"about_ca_system_score_gemma":0.0000074399463,"threshold_uncertainty_score":0.83635503},"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":"W2104217614","doi":"10.1111/1467-8659.t01-1-00643","title":"Two‐dimensional Potential Fields for Advanced Implicit Modeling Operators","year":2003,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":49,"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; University of Calgary","funders":"","keywords":"Controllability; Computer science; Degrees of freedom (physics and chemistry); Object (grammar); Point (geometry); Simplicity; Theoretical computer science; Surface (topology); Space (punctuation); Algorithm; Mathematics; Artificial intelligence; Applied mathematics; Geometry","score_opus":0.015809172385898507,"score_gpt":0.28457087702725464,"score_spread":0.2687617046413561,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104217614","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":[0.018127786,0.00017940272,0.9788299,0.0003626828,0.0014175712,0.00049448677,0.000006417252,0.00050652627,0.000075225646],"genre_scores_gemma":[0.7874903,0.00002301531,0.20964365,0.0026146364,0.000101739664,0.000069011265,0.000013876411,0.000029322546,0.00001444752],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99773335,0.00007867759,0.0004861039,0.0007625133,0.00033618277,0.00060315337],"domain_scores_gemma":[0.99844164,0.000082056424,0.000113549155,0.0007552873,0.00042033955,0.00018710867],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004030748,0.00031845068,0.0003097226,0.00042039462,0.00047900015,0.0003413939,0.00096302386,0.00015007387,0.0000040961886],"category_scores_gemma":[0.000014513815,0.00031933622,0.00031148628,0.0007341381,0.000042065738,0.0005356717,0.00038467703,0.00021929508,0.0000028057877],"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":[0.000005309333,0.00007095047,0.000102218335,0.000011878346,0.000029310522,0.0000040152954,0.000053374613,0.018186992,0.000069861555,0.9766754,0.0012921225,0.003498588],"study_design_scores_gemma":[0.00072974566,0.00021484734,0.000012824343,0.000024984514,0.000007152112,0.000028182878,0.000003499519,0.83943576,0.00087669096,0.15637326,0.0019385337,0.00035450072],"about_ca_topic_score_codex":0.000011145621,"about_ca_topic_score_gemma":0.000008173786,"teacher_disagreement_score":0.82124877,"about_ca_system_score_codex":0.000021657743,"about_ca_system_score_gemma":0.000102411424,"threshold_uncertainty_score":0.99992585},"labels":[],"label_agreement":null},{"id":"W2105591368","doi":"10.1111/cgf.12084","title":"Bilateral Maps for Partial Matching","year":2013,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":39,"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":"Matching (statistics); Artificial intelligence; Feature (linguistics); Computer science; Pattern recognition (psychology); Shape analysis (program analysis); Context (archaeology); Point (geometry); Point of interest; Shape context; Point set registration; Computer vision; Mathematics; Image (mathematics); Geometry; Geography","score_opus":0.016556198053372533,"score_gpt":0.2446022567218705,"score_spread":0.22804605866849798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105591368","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":[0.0018797341,0.000038874874,0.99168193,0.0046488354,0.00060194667,0.00047007317,0.0000041056687,0.00055714085,0.00011735695],"genre_scores_gemma":[0.6382929,0.000023541044,0.35660875,0.004114801,0.00032187928,0.00029034296,0.000025392039,0.000028716506,0.00029369228],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9987418,0.000030557265,0.00026536683,0.0003734515,0.00018025201,0.00040858248],"domain_scores_gemma":[0.9990581,0.000072474824,0.00009178074,0.00050144776,0.00017230635,0.00010389109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017475666,0.00015633774,0.00015474648,0.00014932791,0.00021489659,0.00045790957,0.0008642249,0.00008512152,0.0000082075385],"category_scores_gemma":[0.0000050343842,0.00013449036,0.00015557268,0.00031945642,0.000053285898,0.00074688677,0.00027300318,0.00012456608,0.00006420013],"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":[0.0000028337818,0.000053634387,0.00039323108,0.000023108993,0.00001806836,0.0000016030499,0.00015301883,0.0000020646737,0.000887849,0.90347564,0.018609483,0.07637945],"study_design_scores_gemma":[0.000424178,0.00024183322,0.0017346825,0.00003160586,0.0000062770996,0.000022796374,0.000010359324,0.3387,0.016416779,0.581492,0.060466085,0.00045339676],"about_ca_topic_score_codex":0.000023434059,"about_ca_topic_score_gemma":0.000001069751,"teacher_disagreement_score":0.63641316,"about_ca_system_score_codex":0.000015417674,"about_ca_system_score_gemma":0.000026460562,"threshold_uncertainty_score":0.54843575},"labels":[],"label_agreement":null},{"id":"W2106248292","doi":"10.1111/j.1467-8659.2009.01606.x","title":"Implicit Blending Revisited","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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 Victoria","funders":"","keywords":"Merge (version control); Computer science; Intersection (aeronautics); Smoothness; Function (biology); Algorithm; Mathematics; Mathematical analysis; Parallel computing","score_opus":0.012766424154089144,"score_gpt":0.2779017016265043,"score_spread":0.26513527747241517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106248292","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":[0.0075477534,0.00005956114,0.98782027,0.00077318866,0.0015078414,0.0002553602,0.0000040764135,0.0014281557,0.00060379197],"genre_scores_gemma":[0.8744346,0.00008174756,0.12122524,0.0037325458,0.00039913587,0.000029421608,0.000021392774,0.000040998402,0.0000348984],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99781,0.00005488024,0.00045005747,0.0007303235,0.0003725768,0.00058215804],"domain_scores_gemma":[0.99785155,0.000109493994,0.00017668816,0.001379059,0.00025512342,0.00022810472],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046768374,0.00030170326,0.00029248532,0.0007336428,0.00037583488,0.00063296297,0.0020255023,0.00018694872,0.000014516549],"category_scores_gemma":[0.000013975936,0.0002979285,0.00023844368,0.0016751671,0.0000904338,0.0006574187,0.0010739793,0.0005693418,0.000022756321],"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":[9.544893e-7,0.000048740138,0.0036527247,0.000011788865,0.000018141633,0.000008687117,0.000069889444,7.5494864e-7,0.0004525977,0.97185737,0.008058625,0.015819741],"study_design_scores_gemma":[0.00038534796,0.00019874533,0.0055931034,0.000052396525,0.00000946376,0.00011554887,0.0000029010125,0.6513555,0.0029621795,0.22383289,0.11478135,0.0007105899],"about_ca_topic_score_codex":0.000014136232,"about_ca_topic_score_gemma":0.000014530816,"teacher_disagreement_score":0.86688685,"about_ca_system_score_codex":0.0000110352275,"about_ca_system_score_gemma":0.000047796577,"threshold_uncertainty_score":0.9999473},"labels":[],"label_agreement":null},{"id":"W2106796612","doi":"10.1111/j.1467-8659.2009.01457.x","title":"Comparing Parameter Manipulation with Mouse, Pen, and Slider User Interfaces","year":2009,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","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":"McMaster University; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Gaze; Task (project management); Human–computer interaction; Fixation (population genetics); Artificial intelligence; Eye tracking; Slider; Computer vision; Computer graphics (images)","score_opus":0.03312300361996709,"score_gpt":0.27122028456106917,"score_spread":0.23809728094110208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106796612","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":[0.09674425,0.000040546955,0.90179336,0.0009003829,0.00010117989,0.000102916776,0.000001159048,0.00016856832,0.00014766106],"genre_scores_gemma":[0.96272916,0.000022192564,0.03449666,0.0025998435,0.000030396019,0.0000015219156,0.000018333705,0.000008930029,0.000092973416],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988983,0.00003525425,0.00021631696,0.00037515993,0.00021574151,0.00025920972],"domain_scores_gemma":[0.99926686,0.00004143765,0.00009406486,0.00041572735,0.000084743195,0.00009715037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000116260795,0.00017020229,0.00018467543,0.00019629685,0.0001439404,0.0005606343,0.00045872663,0.00005138714,0.0000024358717],"category_scores_gemma":[0.0000047092853,0.00014132017,0.00003287948,0.00038390543,0.000050764265,0.00080800086,0.0002144876,0.00012381714,0.000007749779],"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":[0.000011867947,0.000121901314,0.06348959,0.00001930758,0.000050072875,0.000011490324,0.00039879078,0.0008107851,0.00004307696,0.91676694,0.0057886993,0.0124874795],"study_design_scores_gemma":[0.00047994958,0.0002648595,0.027315618,0.00004270365,0.000011039493,0.000028398805,0.000016747446,0.9602494,0.00038443712,0.0061549353,0.004757177,0.00029468344],"about_ca_topic_score_codex":0.0000068742297,"about_ca_topic_score_gemma":0.00003093287,"teacher_disagreement_score":0.9594387,"about_ca_system_score_codex":0.000009854166,"about_ca_system_score_gemma":0.000011888517,"threshold_uncertainty_score":0.576287},"labels":[],"label_agreement":null},{"id":"W2107330811","doi":"10.1111/j.1467-8659.2012.03116.x","title":"Vismon: Facilitating Analysis of Trade‐Offs, Uncertainty, and Sensitivity In Fisheries Management Decision Making","year":2012,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":89,"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; Simon Fraser University","funders":"Simon Fraser University","keywords":"Workflow; Computer science; Abstraction; Sensitivity (control systems); Domain (mathematical analysis); Fisheries management; Visualization; Process (computing); Task (project management); Software deployment; Set (abstract data type); Software; Operations research; Decision support system; Data science; Data mining; Software engineering; Systems engineering; Fishery; Database; Engineering","score_opus":0.02690897417958446,"score_gpt":0.2910131301086708,"score_spread":0.2641041559290863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107330811","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":[0.11559318,0.00009470013,0.8837719,0.00019754088,0.00014711937,0.00007769112,0.000012776434,0.000037758895,0.00006733482],"genre_scores_gemma":[0.9514052,0.000051866697,0.048003063,0.0005002552,0.0000121785015,0.0000017376955,0.000018349272,0.000004530769,0.000002789291],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987112,0.0000911106,0.00034065076,0.00028550182,0.0002693027,0.00030218958],"domain_scores_gemma":[0.9991455,0.00026445914,0.00011181873,0.00037624894,0.00003163824,0.000070352646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068442296,0.00013542648,0.00028420627,0.00072599895,0.000084644635,0.00011019109,0.00021340641,0.000049001243,0.0000022490742],"category_scores_gemma":[0.000014917213,0.00013273365,0.00010089462,0.0020297475,0.000070246555,0.0005566331,0.00051549706,0.0000849258,6.630169e-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":[0.000007133371,0.00014334488,0.51451874,0.000066776774,0.00029016696,0.00001870846,0.00205465,0.0032995117,0.0000044800413,0.3412755,0.00056519907,0.13775575],"study_design_scores_gemma":[0.00014041961,0.0000203904,0.22742742,0.00005000092,0.0000526531,0.0000028282277,0.00013158616,0.7694295,0.000005910687,0.0018594634,0.0007511678,0.00012866975],"about_ca_topic_score_codex":0.000016888966,"about_ca_topic_score_gemma":0.00013843105,"teacher_disagreement_score":0.83581203,"about_ca_system_score_codex":0.000017339287,"about_ca_system_score_gemma":0.000006422476,"threshold_uncertainty_score":0.5412721},"labels":[],"label_agreement":null},{"id":"W2110111515","doi":"10.1111/j.1467-8659.2010.01752.x","title":"Generating Classic Mosaics with Graph Cuts","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":16,"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":"Heuristics; Computer science; Tile; Mosaic; A priori and a posteriori; Graph; Artificial intelligence; Computer vision; Theoretical computer science","score_opus":0.010296310887421266,"score_gpt":0.2462716036680018,"score_spread":0.23597529278058052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110111515","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":[0.014858084,0.00008797941,0.98243773,0.00069026434,0.0005763952,0.00022345407,0.0000024481362,0.00084393896,0.00027969322],"genre_scores_gemma":[0.25522956,0.00005176925,0.7415553,0.0027826177,0.00024927434,0.00002453227,0.000007695802,0.00003363307,0.00006564585],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981546,0.00003479942,0.00027529927,0.000605952,0.0003674526,0.0005619339],"domain_scores_gemma":[0.9983438,0.00007440907,0.0001471163,0.0010315371,0.00022367641,0.00017942813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021784902,0.00028476192,0.00023530051,0.00027118652,0.00035422138,0.00034949326,0.0012325335,0.0001422325,0.000003016462],"category_scores_gemma":[0.000013214858,0.0002319997,0.00012058583,0.0010870828,0.00017770889,0.0009818178,0.00047474372,0.0006748685,0.000009628097],"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":[0.000009299956,0.00012385078,0.011955573,0.00002084759,0.000056827208,0.000069899106,0.00015200523,0.00007126422,0.0050856564,0.78979063,0.008116411,0.18454772],"study_design_scores_gemma":[0.0013326526,0.0014194997,0.002637867,0.00011048862,0.00003282713,0.00064200605,0.00001747885,0.5867739,0.061962403,0.20078251,0.14239404,0.0018943851],"about_ca_topic_score_codex":0.0000070627657,"about_ca_topic_score_gemma":0.000031714204,"teacher_disagreement_score":0.58900815,"about_ca_system_score_codex":0.000010175091,"about_ca_system_score_gemma":0.00006723447,"threshold_uncertainty_score":0.94606733},"labels":[],"label_agreement":null},{"id":"W2110826265","doi":"10.1111/1467-8659.00673","title":"Cloth Motion Capture","year":2003,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":83,"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":"Scale-invariant feature transform; Computer vision; Artificial intelligence; Computer science; Computer graphics; Motion (physics); Computer graphics (images); Invariant (physics); Feature (linguistics); Motion capture; Geometry; Image (mathematics); Mathematics","score_opus":0.007837338365196294,"score_gpt":0.18543846350564383,"score_spread":0.17760112514044754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110826265","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":[0.020524483,0.00075390644,0.97653395,0.0000583712,0.00046545922,0.000033124055,0.0000024865717,0.0003266472,0.0013015629],"genre_scores_gemma":[0.9967961,0.000060532988,0.0027913745,0.00020313922,0.000055581946,0.0000025917775,0.000009952019,0.000021649133,0.000059082486],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944407,0.000014263901,0.00011598955,0.00012552024,0.00009329619,0.0002068584],"domain_scores_gemma":[0.99971294,0.000009882935,0.000011465732,0.00018248458,0.000027756741,0.000055461198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000069429894,0.000108692766,0.00011020976,0.00012066855,0.00006057445,0.000033608754,0.000085527034,0.00007454994,0.000011950856],"category_scores_gemma":[0.0000024016556,0.000105968036,0.00010583335,0.00024818518,0.000013518271,0.00005540642,0.000010079645,0.00014270902,0.000024565932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001989642,0.000078654746,0.012396569,0.00010439163,0.00031807035,0.000021899048,0.00047986273,0.77219915,0.00016238788,0.14271814,0.055307485,0.016211415],"study_design_scores_gemma":[0.000121309684,0.00000734255,0.00018386594,0.000011260273,0.000018373417,0.000005986068,0.000013745621,0.9838209,0.00016306748,0.0044600745,0.011031678,0.0001623613],"about_ca_topic_score_codex":0.0000056124272,"about_ca_topic_score_gemma":0.00001020182,"teacher_disagreement_score":0.9762716,"about_ca_system_score_codex":0.000010789776,"about_ca_system_score_gemma":0.00000366762,"threshold_uncertainty_score":0.43212512},"labels":[],"label_agreement":null},{"id":"W2112179747","doi":"10.1111/j.1467-8659.2009.01694.x","title":"The Perception of Correlation in Scatterplots","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":187,"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":"Correlation; Mathematics; Bivariate analysis; Statistics; Range (aeronautics); Computer science; Artificial intelligence; Pattern recognition (psychology); Geometry","score_opus":0.0154832959407309,"score_gpt":0.25504654174623537,"score_spread":0.23956324580550448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112179747","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":[0.99218297,0.000009767381,0.0064072628,0.0009784503,0.00026450842,0.000054535412,0.0000036090978,0.000009645381,0.000089232584],"genre_scores_gemma":[0.9980135,0.000014160132,0.0017291585,0.00014301842,0.0000755508,0.000001990042,0.000008804122,2.9278576e-7,0.000013519209],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99944997,0.000077026554,0.00016120661,0.00010530418,0.000092469956,0.00011403991],"domain_scores_gemma":[0.9993452,0.00049171527,0.000050182884,0.000045694233,0.000041595347,0.00002564977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033016532,0.000047797083,0.00007949011,0.000012242723,0.000116527495,0.000024011717,0.00012620617,0.000052417887,0.00003313272],"category_scores_gemma":[0.000033297183,0.00001499045,0.000060261747,0.0002597721,0.000085071966,0.000035188838,0.00002753403,0.00014163897,0.000003789111],"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":[0.000015476528,0.000046739075,0.17440313,0.0000022246543,0.000007777498,7.745424e-7,0.00005413753,0.000022417875,0.046457067,0.111655034,0.000381837,0.6669534],"study_design_scores_gemma":[0.00004013995,0.00006576748,0.92314255,0.000004534268,0.000003841814,0.0000013507987,0.000051419593,0.057006106,0.00006816858,0.017003931,0.002560901,0.000051282514],"about_ca_topic_score_codex":0.00006922731,"about_ca_topic_score_gemma":0.0011857328,"teacher_disagreement_score":0.7487394,"about_ca_system_score_codex":0.0000025560362,"about_ca_system_score_gemma":0.0000015668968,"threshold_uncertainty_score":0.0896247},"labels":[],"label_agreement":null},{"id":"W2112555586","doi":"10.1111/cgf.12332","title":"Flower reconstruction from a single photo","year":2014,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","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":"Memorial University of Newfoundland","funders":"Science and Technology Planning Project of Guangdong Province; National Natural Science Foundation of China","keywords":"Petal; Computer science; Projection (relational algebra); Computer graphics (images); Artificial intelligence; Computer vision; Surface (topology); Algorithm; Mathematics; Geometry; Biology","score_opus":0.010988393868099135,"score_gpt":0.22081354417141244,"score_spread":0.2098251503033133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112555586","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":[0.006892401,0.00006378753,0.9880364,0.0009089999,0.0025074708,0.000079818645,0.0000017150705,0.00034294545,0.0011664827],"genre_scores_gemma":[0.37221956,0.000014542914,0.62221265,0.005184757,0.00029206809,0.0000062069907,0.000006834565,0.000018750787,0.000044598866],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870485,0.000055395303,0.0002262859,0.00048437665,0.00020103513,0.0003280525],"domain_scores_gemma":[0.9989397,0.00009770355,0.00008963257,0.00066665234,0.00008473669,0.00012157588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012915538,0.00016077163,0.00017061015,0.00016968422,0.00018186634,0.0002202969,0.0006549139,0.00006053902,0.000018194936],"category_scores_gemma":[0.000016255672,0.00015449412,0.00010962733,0.00038456285,0.000065945744,0.00071753573,0.00034881223,0.00017609958,0.00006471002],"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":[0.0000037735635,0.000058081776,0.0013148393,0.0000034875186,0.000014582785,0.0000035774658,0.00012746507,0.000035195026,0.0010526496,0.06361167,0.0035690751,0.9302056],"study_design_scores_gemma":[0.00036683545,0.00007925701,0.0006648649,0.0000484851,0.000002925793,0.000025967578,0.000007075682,0.8618718,0.0020647587,0.07596329,0.058664612,0.00024016756],"about_ca_topic_score_codex":0.000017264285,"about_ca_topic_score_gemma":0.000014556358,"teacher_disagreement_score":0.92996544,"about_ca_system_score_codex":0.000019580655,"about_ca_system_score_gemma":0.000012942172,"threshold_uncertainty_score":0.6300087},"labels":[],"label_agreement":null},{"id":"W2112974919","doi":"10.1111/cgf.12635","title":"An Exploratory Study of Data Sketching for Visual Representation","year":2015,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","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 Calgary","funders":"","keywords":"Computer science; Representation (politics); Interactive visual analysis; Visual analytics; Computer graphics (images); Exploratory data analysis; Exploratory research; Visualization; Human–computer interaction; Artificial intelligence; Data mining","score_opus":0.15410045714420612,"score_gpt":0.408476920058061,"score_spread":0.2543764629138549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112974919","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":[0.047371257,0.000018371511,0.9516014,0.00011059496,0.00045568994,0.00029338742,0.000021804528,0.00011629071,0.000011236015],"genre_scores_gemma":[0.9586777,0.0000044230424,0.040401552,0.000431791,0.00012813845,0.000010347087,0.00032566127,0.000014835918,0.0000055360774],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998447,0.00013409989,0.00034805996,0.00051682245,0.00036149917,0.00019249805],"domain_scores_gemma":[0.997822,0.000072517,0.0001774278,0.0014794031,0.00030147922,0.0001472054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074909773,0.000117498756,0.00018522337,0.00024091829,0.00010078694,0.00020778451,0.0018869307,0.00003889682,4.3308967e-7],"category_scores_gemma":[0.00003397835,0.00011619285,0.000033492317,0.00061544817,0.000030775853,0.0023632948,0.0009142667,0.0000672054,0.0000021129038],"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":[0.00008998374,0.007845636,0.0640796,0.00010965315,0.0003523479,0.00002621267,0.031935576,0.0034495464,0.0001401098,0.6909507,0.07557543,0.1254452],"study_design_scores_gemma":[0.0009308478,0.0008274904,0.00033976877,0.000009161054,0.000014072984,0.0000016430971,0.001546967,0.9896655,0.000063053696,0.004647014,0.0018106998,0.00014377218],"about_ca_topic_score_codex":0.000016513703,"about_ca_topic_score_gemma":0.00009294137,"teacher_disagreement_score":0.98621595,"about_ca_system_score_codex":0.000009149768,"about_ca_system_score_gemma":0.00007814743,"threshold_uncertainty_score":0.4738207},"labels":[],"label_agreement":null},{"id":"W2116984406","doi":"10.1111/cgf.12416","title":"Error analysis of estimators that use combinations of stochastic sampling strategies for direct illumination","year":2014,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Université de Montréal","funders":"","keywords":"Estimator; Sampling (signal processing); Stratified sampling; Rate of convergence; Convergence (economics); Computer science; Slice sampling; Variance reduction; Importance sampling; Rendering (computer graphics); Statistics; Monte Carlo method; Variance (accounting); Algorithm; Mathematics; Mathematical optimization; Artificial intelligence; Key (lock); Computer vision","score_opus":0.052375291615257925,"score_gpt":0.32174731537660606,"score_spread":0.2693720237613481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116984406","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":[0.016867498,0.000027255099,0.9821286,0.000078900004,0.0002924236,0.00033255323,0.00003539892,0.00021612537,0.000021251564],"genre_scores_gemma":[0.9116019,0.000007234481,0.088154934,0.00009699658,0.000013605655,0.000029867973,0.000077795405,0.000014494993,0.0000031433312],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99832237,0.00009024215,0.00054352,0.00042530423,0.00035474778,0.0002638413],"domain_scores_gemma":[0.9972242,0.0009003887,0.00049672386,0.00067536853,0.0006298916,0.00007340649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005630732,0.00021106203,0.00051715964,0.0018108404,0.0001703018,0.0002141551,0.00078591675,0.000111880385,8.852832e-7],"category_scores_gemma":[0.000053107266,0.0002148611,0.00036452812,0.0024107029,0.00014847083,0.00073278946,0.00025324564,0.00009113787,1.3857907e-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":[0.0000029973173,0.00017622947,0.002010939,0.000041840274,0.00025189787,1.0007027e-7,0.00037588758,0.0050340416,0.000016717611,0.98822075,0.00012056121,0.003748041],"study_design_scores_gemma":[0.00030544246,0.00024404428,0.007710331,0.000048743936,0.00016651099,7.4381046e-7,0.000021723828,0.9349753,0.00030594275,0.055799536,0.00021800486,0.00020367344],"about_ca_topic_score_codex":0.000047859467,"about_ca_topic_score_gemma":0.000049853974,"teacher_disagreement_score":0.9324212,"about_ca_system_score_codex":0.000014166932,"about_ca_system_score_gemma":0.000054666387,"threshold_uncertainty_score":0.8761781},"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":"W2119356981","doi":"10.1111/j.1467-8659.2009.01594.x","title":"TouchTone: Interactive Local Image Adjustment Using Point‐and‐Swipe","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Image Enhancement Techniques","field":"Computer Science","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":"Nokia (Canada)","funders":"","keywords":"Computer science; SwIPe; Computer vision; Computer graphics (images); Mobile device; Process (computing); Image (mathematics); Enhanced Data Rates for GSM Evolution; Computational photography; Gesture; Artificial intelligence; Image sharing; Image editing; Image processing; World Wide Web","score_opus":0.008446527489725294,"score_gpt":0.25920438022784853,"score_spread":0.25075785273812323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119356981","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":[0.014947257,0.000071351606,0.9810916,0.00087607914,0.0018071567,0.00032133443,0.0000026126165,0.0005183066,0.0003643117],"genre_scores_gemma":[0.5432614,0.000024257084,0.45472452,0.0017462822,0.00017536899,0.000019639421,0.000003810716,0.00002356307,0.000021163982],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99811417,0.000058055375,0.00032007537,0.00064489973,0.0003185339,0.00054426875],"domain_scores_gemma":[0.9985721,0.00009460972,0.0001462238,0.00083776226,0.0001906575,0.00015862967],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00028164868,0.00029399374,0.00025177657,0.00032881793,0.00020314842,0.00030618362,0.0009795513,0.00012371497,0.00001560844],"category_scores_gemma":[0.000012989417,0.00028565715,0.00011749995,0.00041873837,0.00028264805,0.0014307733,0.0013761474,0.0006148023,0.000019002524],"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":[0.000028474655,0.00040614163,0.0005961637,0.000059858678,0.00013490663,0.00016178786,0.001298026,0.000011201999,0.036967967,0.6274906,0.0131813,0.3196636],"study_design_scores_gemma":[0.0007463066,0.00042293558,0.0017931055,0.00010379538,0.000026246445,0.00035945122,0.000052535936,0.8637078,0.083143964,0.042285305,0.00652108,0.0008375215],"about_ca_topic_score_codex":0.00005481229,"about_ca_topic_score_gemma":0.000033704022,"teacher_disagreement_score":0.8636966,"about_ca_system_score_codex":0.000045333763,"about_ca_system_score_gemma":0.000053528347,"threshold_uncertainty_score":0.9999596},"labels":[],"label_agreement":null},{"id":"W2120294815","doi":"10.1111/j.1467-8659.2009.01695.x","title":"A Multidirectional Occlusion Shading Model for Direct Volume Rendering","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":53,"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":"Norges Forskningsråd","keywords":"Rendering (computer graphics); Computer science; Opacity; Volume rendering; Computer graphics (images); Shading; Computation; Computer vision; Real-time rendering; Visualization; Artificial intelligence; Global illumination; Optics; Algorithm; Physics","score_opus":0.021087028338331863,"score_gpt":0.2798838550543775,"score_spread":0.25879682671604565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120294815","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":[0.0028488224,0.000037384012,0.9928503,0.0005389437,0.001871464,0.00041663102,0.000013696903,0.00124558,0.00017716298],"genre_scores_gemma":[0.63523424,0.000026499547,0.3633527,0.00087946065,0.00025734838,0.00007112241,0.000023065506,0.000037784597,0.000117814525],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978329,0.000034213084,0.00042564,0.00080008677,0.00035749926,0.0005496617],"domain_scores_gemma":[0.9983718,0.00014568996,0.00017190332,0.0007772495,0.00034523295,0.0001881298],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005847427,0.00030387638,0.0002869551,0.0006139754,0.0006713984,0.00042089244,0.0012098341,0.00019963991,0.0000033384974],"category_scores_gemma":[0.000028200506,0.00031734825,0.00031581108,0.00077572715,0.00007543064,0.0006501049,0.0008911951,0.00036393217,0.0000031796983],"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":[0.000005689474,0.00009956315,0.0020920935,0.00002530129,0.000028812841,0.0000029174464,0.00030086847,0.00042843533,0.00070646236,0.9757665,0.008204668,0.012338713],"study_design_scores_gemma":[0.000302884,0.0000932933,0.0005158444,0.000027321672,0.00000620244,0.000025872534,0.0000015313589,0.93179125,0.0008481955,0.053282,0.012727491,0.0003781085],"about_ca_topic_score_codex":0.00001586439,"about_ca_topic_score_gemma":0.00006376824,"teacher_disagreement_score":0.9313628,"about_ca_system_score_codex":0.000023777013,"about_ca_system_score_gemma":0.0000820992,"threshold_uncertainty_score":0.9999279},"labels":[],"label_agreement":null},{"id":"W2121556434","doi":"10.1111/j.1467-8659.2012.02097.x","title":"Efficiently Simulating the Bokeh of Polygonal Apertures in a Post‐Process Depth of Field Shader","year":2012,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","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":"Simon Fraser University","funders":"","keywords":"Shader; Computer graphics (images); Computer science; Depth of field; Process (computing); Point cloud; Field (mathematics); Computational photography; Frame rate; Gaussian; Computer vision; Artificial intelligence; Graphics; Image (mathematics); Image processing; Mathematics; Physics","score_opus":0.013409433160877537,"score_gpt":0.28949227624463064,"score_spread":0.2760828430837531,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121556434","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":[0.108462885,0.0007399942,0.8886016,0.0013926758,0.00040616578,0.0001307403,0.0000013991486,0.000036134887,0.00022839675],"genre_scores_gemma":[0.98141074,0.0000054383218,0.015535661,0.0029866903,0.000046737052,0.00000248336,0.0000010419591,0.000007709345,0.0000035142893],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99872553,0.000048092374,0.00034088147,0.00020294325,0.0002973176,0.0003852559],"domain_scores_gemma":[0.9987879,0.00047237537,0.00016272759,0.00039451077,0.00011925396,0.00006323981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027963537,0.00013193129,0.00019133101,0.00020748028,0.00008571238,0.000029824432,0.0008176208,0.000052527714,0.0000036675835],"category_scores_gemma":[0.00006239195,0.000093309056,0.000106877495,0.0006538715,0.00007928196,0.0004086547,0.00037455224,0.00021938907,0.0000010602438],"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":[0.00006379594,0.0008433969,0.2763786,0.00021342438,0.00007889853,0.000007214285,0.013014342,0.012524624,0.0016990853,0.33218834,0.00067383883,0.36231446],"study_design_scores_gemma":[0.00037895638,0.00012016076,0.033766255,0.000099818346,0.000004118239,0.000010684756,0.00013756189,0.9586318,0.0028391618,0.0035152326,0.00033260658,0.0001636435],"about_ca_topic_score_codex":0.00001840274,"about_ca_topic_score_gemma":0.000008901519,"teacher_disagreement_score":0.94610715,"about_ca_system_score_codex":0.000006240897,"about_ca_system_score_gemma":0.000026606742,"threshold_uncertainty_score":0.38050327},"labels":[],"label_agreement":null},{"id":"W2122324385","doi":"10.1111/j.1467-8659.2012.03045.x","title":"Interactive Coherence‐Based Façade Modeling","year":2012,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":43,"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; Workflow; Coherence (philosophical gambling strategy); Contrast (vision); Human–computer interaction; Artificial intelligence; Theoretical computer science; Database; Mathematics","score_opus":0.03890227023793133,"score_gpt":0.24158369060700044,"score_spread":0.2026814203690691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122324385","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":[0.8809921,0.00087454176,0.11182535,0.00030529723,0.0021393837,0.00017962778,0.00005205267,0.00020666112,0.0034249888],"genre_scores_gemma":[0.99631315,0.0000064505757,0.0024017445,0.0009374142,0.00019318782,0.0000010904148,0.000109535664,0.0000039342367,0.000033508895],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989481,0.00008070746,0.00015351252,0.0001763115,0.00017610006,0.00046525776],"domain_scores_gemma":[0.999487,0.00009285918,0.000043222113,0.00015750552,0.000045004526,0.00017441792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022927715,0.00014236977,0.00013601306,0.00006782306,0.00019853086,0.00007101183,0.00020430126,0.00006936077,0.00025583635],"category_scores_gemma":[0.000007024743,0.00011018879,0.000094158335,0.00021026855,0.000043288393,0.00039512978,0.000016193795,0.00021185586,0.00017526207],"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":[0.00002530857,0.000037544985,0.959128,0.000013064941,0.000026605769,0.0000038981657,0.00041622506,0.008083773,0.0000063940906,0.00061814755,0.0013594691,0.030281566],"study_design_scores_gemma":[0.00017380003,0.0000780297,0.08066153,0.000028597851,0.0000072322428,0.000007266748,0.00012589653,0.9159133,0.000031854895,0.00059856003,0.002150988,0.00022296025],"about_ca_topic_score_codex":0.0003835949,"about_ca_topic_score_gemma":0.0004251989,"teacher_disagreement_score":0.9078295,"about_ca_system_score_codex":0.000003024086,"about_ca_system_score_gemma":0.000015467514,"threshold_uncertainty_score":0.44933686},"labels":[],"label_agreement":null},{"id":"W2122610696","doi":"10.1111/j.1467-8659.2006.00982.x","title":"Virtual Garments: A Fully Geometric Approach for Clothing Design","year":2006,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":202,"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":"Computer science; Sketch; Process (computing); Computer graphics (images); Texture mapping; Developable surface; Surface (topology); Distortion (music); Clothing; Computer vision; Displacement mapping; Virtual reality; Engineering drawing; Artificial intelligence; Geometry; Algorithm; Engineering; Mathematics","score_opus":0.0157442989270197,"score_gpt":0.2006503260215515,"score_spread":0.1849060270945318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122610696","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":[0.0056047607,0.0004347177,0.9928492,0.000029661915,0.00025226737,0.00019720776,0.000009625583,0.0004213685,0.00020122783],"genre_scores_gemma":[0.8758163,0.000025782945,0.12350702,0.0001406793,0.00027113227,0.00004676612,0.000070364214,0.0000524097,0.00006956829],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988149,0.000018768531,0.0002806216,0.00026349348,0.00018214431,0.00044007465],"domain_scores_gemma":[0.9995286,0.00008299552,0.00003520828,0.00022640481,0.00006460601,0.00006218064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002603742,0.00020322128,0.00023360606,0.0006215518,0.00015215464,0.000108406784,0.00023756157,0.00010705465,0.0000022304432],"category_scores_gemma":[0.000005154457,0.00020514712,0.00021991793,0.000833131,0.000023154755,0.00011010586,0.000041373947,0.00015365075,0.0000051733346],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000046649448,0.0000539416,0.00024415102,0.000034585395,0.00009882711,0.0000013801787,0.000030301782,0.9789597,0.000036876732,0.0031176838,0.010797676,0.00662021],"study_design_scores_gemma":[0.00037565816,0.00007502653,0.00006095571,0.000012162187,0.000046246772,0.000003430549,0.000015036562,0.996354,0.00013021765,0.001670329,0.001008398,0.00024853382],"about_ca_topic_score_codex":0.000012972581,"about_ca_topic_score_gemma":0.000001547205,"teacher_disagreement_score":0.87021154,"about_ca_system_score_codex":0.000031696938,"about_ca_system_score_gemma":0.000009770611,"threshold_uncertainty_score":0.8365657},"labels":[],"label_agreement":null},{"id":"W2123997651","doi":"10.1111/j.1467-8659.2006.00946.x","title":"Silhouette Extraction in Hough Space","year":2006,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":20,"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":"Silhouette; Computer science; Artificial intelligence; Polygon mesh; Computer vision; Octree; Computer graphics (images); Tree traversal; Hough transform; Computer graphics; Projection (relational algebra); Augmented reality; Image (mathematics); Algorithm","score_opus":0.008586217488558427,"score_gpt":0.25584370348720553,"score_spread":0.2472574859986471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123997651","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":[0.004587545,0.00021278461,0.98905045,0.003816433,0.00084333995,0.000109752094,5.6716334e-7,0.00025226822,0.0011268778],"genre_scores_gemma":[0.760325,0.000041172603,0.23703274,0.0021665415,0.00021166647,0.000008895533,0.000004923131,0.000019227758,0.00018982474],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986387,0.00004073597,0.00025023354,0.00042392596,0.00023055343,0.00041586717],"domain_scores_gemma":[0.99926203,0.00006718023,0.000088086796,0.0004745993,0.000050899293,0.000057213074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015632402,0.00015833012,0.00015001243,0.0003407104,0.00011691235,0.0001640972,0.00053731544,0.000058880756,0.0000027387111],"category_scores_gemma":[0.000004836336,0.00016008639,0.000082705716,0.0008491261,0.000043600372,0.0009784047,0.0002514093,0.00025637262,0.00003233446],"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":[0.0000062380163,0.00019740502,0.014801598,0.000014398788,0.00000617653,0.00010309026,0.00011591967,0.0016710998,0.0005874488,0.78907543,0.018439341,0.17498186],"study_design_scores_gemma":[0.0005982648,0.00005711045,0.03949674,0.000052623705,0.0000018300856,0.000047715133,0.000009190355,0.7823805,0.0013678151,0.09915926,0.07647759,0.0003513736],"about_ca_topic_score_codex":0.000060035545,"about_ca_topic_score_gemma":0.00006177996,"teacher_disagreement_score":0.7807094,"about_ca_system_score_codex":0.000032138174,"about_ca_system_score_gemma":0.000019521494,"threshold_uncertainty_score":0.6528133},"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":"W2127397139","doi":"10.1111/j.1467-8659.2012.03129.x","title":"Tracing Tuples Across Dimensions: A Comparison of Scatterplots and Parallel Coordinate Plots","year":2012,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","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":"École de Technologie Supérieure","funders":"National Research Foundation Singapore; National University of Singapore","keywords":"Curse of dimensionality; Computer science; Visualization; Tuple; Tracing; Baseline (sea); Multivariate statistics; Dimension (graph theory); Dimensionality reduction; Data visualization; Data mining; Information retrieval; Artificial intelligence; Mathematics; Machine learning","score_opus":0.036556236899912754,"score_gpt":0.33478881703422386,"score_spread":0.2982325801343111,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127397139","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":[0.1636201,0.0008682307,0.83438927,0.00045397843,0.00038914444,0.000114329996,0.00001380747,0.00012898259,0.000022142498],"genre_scores_gemma":[0.97614175,0.00006492641,0.022910122,0.00078163226,0.00004996961,0.0000040885366,0.000018345967,0.000014641469,0.000014526365],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984056,0.000068425456,0.0004264594,0.00030883597,0.0002690817,0.00052164536],"domain_scores_gemma":[0.99885124,0.00012382213,0.00020670498,0.00050399883,0.00011038124,0.00020387144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035880815,0.0001909466,0.00033659904,0.00016583859,0.0002442125,0.00016218626,0.0005622167,0.00007913987,0.0000015191822],"category_scores_gemma":[0.00001620002,0.00017679548,0.00008501506,0.0005436648,0.00015551882,0.000825508,0.00074917317,0.0001400543,0.000008661429],"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":[0.0000102722,0.0006493583,0.35768536,0.00013358406,0.00011693775,0.000003780126,0.0058337194,0.0003337639,0.00016026528,0.6032203,0.008456094,0.0233966],"study_design_scores_gemma":[0.0008028204,0.00016759262,0.040623102,0.00017021789,0.000025595753,0.00002522545,0.00024522463,0.9465405,0.000974185,0.0035142198,0.006439934,0.00047137888],"about_ca_topic_score_codex":0.000013181602,"about_ca_topic_score_gemma":0.000013249414,"teacher_disagreement_score":0.94620675,"about_ca_system_score_codex":0.000008676156,"about_ca_system_score_gemma":0.000016462596,"threshold_uncertainty_score":0.7209511},"labels":[],"label_agreement":null},{"id":"W2127456566","doi":"10.1111/j.1467-8659.2012.03011.x","title":"Novel‐View Synthesis of Outdoor Sport Events Using an Adaptive View‐Dependent Geometry","year":2012,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":15,"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":"Computer science; View synthesis; Computer vision; Artificial intelligence; Point (geometry); Projection (relational algebra); Viewpoints; Calibration; Computer graphics (images); Geometry; Algorithm; Rendering (computer graphics); Mathematics","score_opus":0.04344740776051667,"score_gpt":0.29730859294470485,"score_spread":0.2538611851841882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127456566","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":[0.026507504,0.0007212935,0.9710615,0.00010716451,0.0011947366,0.00021190551,0.000008956979,0.000112181064,0.00007470224],"genre_scores_gemma":[0.68776757,0.000058570888,0.31142056,0.00060952076,0.00010623336,0.000005803079,0.0000022993966,0.000021409618,0.000008005245],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99768955,0.00005508057,0.00051696564,0.0004952326,0.0005439362,0.00069926766],"domain_scores_gemma":[0.99821556,0.00008505136,0.00031852655,0.0008961955,0.00018242311,0.00030223303],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00062249677,0.00029036717,0.0004601032,0.00043974663,0.00018838324,0.00005284535,0.0011456782,0.00008770424,0.000008565841],"category_scores_gemma":[0.000016260632,0.00026932545,0.00020476294,0.000869657,0.00007760067,0.0018288317,0.00074720854,0.00022996914,0.000013300151],"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":[0.000041836633,0.0024130289,0.07081861,0.0001943863,0.00024120777,0.000017887802,0.0009280198,0.00075340184,0.0024000402,0.27805611,0.00017084583,0.6439646],"study_design_scores_gemma":[0.0011359826,0.00049059186,0.07108883,0.00093862583,0.0001091385,0.00031564955,0.00021062285,0.89921594,0.007357005,0.0075075333,0.00995876,0.0016713553],"about_ca_topic_score_codex":0.000027017082,"about_ca_topic_score_gemma":0.0000038784224,"teacher_disagreement_score":0.89846253,"about_ca_system_score_codex":0.000046544636,"about_ca_system_score_gemma":0.00004817504,"threshold_uncertainty_score":0.9999759},"labels":[],"label_agreement":null},{"id":"W2129544656","doi":"10.1111/j.1467-8659.2005.00883.x","title":"D‐Charts: Quasi‐Developable Mesh Segmentation","year":2005,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":208,"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":"Citation; Library science; Computer science; Columbia university; Information retrieval; Art history; History; Sociology; Media studies","score_opus":0.016866184412847422,"score_gpt":0.2759645779427105,"score_spread":0.2590983935298631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129544656","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":[0.0019368944,0.00018872395,0.9930541,0.0022568987,0.00070381566,0.00032100693,0.000003716093,0.0012048649,0.00032997623],"genre_scores_gemma":[0.55524546,0.00035238764,0.4332675,0.010228715,0.00051743054,0.00008706157,0.000055477085,0.00005258354,0.0001933688],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99765754,0.000090449415,0.00052793697,0.000685494,0.0004812943,0.000557268],"domain_scores_gemma":[0.99842954,0.00007638041,0.00019491365,0.000838766,0.00027423303,0.0001861528],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004309302,0.00031147475,0.0002728905,0.00062374555,0.00035870928,0.0005345293,0.0013506016,0.00013244181,0.000017158192],"category_scores_gemma":[0.00000598346,0.000318649,0.00018132436,0.0013383237,0.000069654765,0.0011979043,0.0006747572,0.00022232218,0.00005571912],"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":[0.0000018937276,0.00014502552,0.0011660794,0.000011647432,0.000025776922,0.0000040775244,0.00037937076,0.000012960036,0.000032436332,0.9174128,0.025621854,0.055186063],"study_design_scores_gemma":[0.00051995623,0.00028270073,0.00081218674,0.00004745013,0.000007847855,0.00003861015,0.000013690614,0.81379545,0.004054636,0.040164858,0.13966392,0.0005987067],"about_ca_topic_score_codex":0.000014830188,"about_ca_topic_score_gemma":0.000019025547,"teacher_disagreement_score":0.8772479,"about_ca_system_score_codex":0.000046190016,"about_ca_system_score_gemma":0.00007799958,"threshold_uncertainty_score":0.99992657},"labels":[],"label_agreement":null},{"id":"W2130987107","doi":"10.1111/j.1467-8659.2012.03056.x","title":"Unsharp Masking, Countershading and Halos: Enhancements or Artifacts?","year":2012,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":39,"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":"Engineering and Physical Sciences Research Council","keywords":"Computer science; Computer vision; Tone mapping; Artificial intelligence; Unsharp masking; Sharpening; Contrast (vision); Artifact (error); Image (mathematics); Context (archaeology); Masking (illustration); Human visual system model; High dynamic range; Image processing; Computer graphics (images); Dynamic range","score_opus":0.02248035548607913,"score_gpt":0.26737519972726764,"score_spread":0.24489484424118851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130987107","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":[0.013462076,0.00041607558,0.983226,0.0004327784,0.0010742337,0.00030205032,0.0000024071987,0.0005542694,0.00053008535],"genre_scores_gemma":[0.8895398,0.00015237152,0.10739824,0.002456501,0.00019617795,0.000042249474,0.0000069792263,0.0000265266,0.0001811741],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978647,0.000058624948,0.0003365525,0.00047718475,0.00038555433,0.00087737234],"domain_scores_gemma":[0.99879616,0.00008321717,0.00015840582,0.0006665,0.000083964085,0.00021177738],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004795921,0.00028872874,0.00024343246,0.00029531104,0.0002622184,0.00037264553,0.0008605613,0.00009666796,0.000028684417],"category_scores_gemma":[0.000014700803,0.00025407976,0.0000724968,0.0004808106,0.00010349142,0.0019890566,0.00092950277,0.00022362813,0.000047681035],"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":[0.00005744655,0.0007837914,0.06496519,0.00027168993,0.00031006156,0.00007638372,0.0046943757,0.0000049909145,0.0042453376,0.67196816,0.07438627,0.17823628],"study_design_scores_gemma":[0.0031966574,0.001619782,0.022902453,0.0012202417,0.000107865424,0.00050104095,0.00014963475,0.35676077,0.13933937,0.028945792,0.44111836,0.0041380273],"about_ca_topic_score_codex":0.00000918368,"about_ca_topic_score_gemma":0.0000061250225,"teacher_disagreement_score":0.8760777,"about_ca_system_score_codex":0.000049362294,"about_ca_system_score_gemma":0.000026700372,"threshold_uncertainty_score":0.9999911},"labels":[],"label_agreement":null},{"id":"W2131598794","doi":"10.1111/j.1467-8659.2008.01127.x","title":"Sketching and Composing Widgets for 3D Manipulation","year":2008,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":63,"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; Mitacs","keywords":"Computer science; Sketch; Human–computer interaction; Transformation (genetics); Object (grammar); Context (archaeology); Interface (matter); Vocabulary; User interface; Computer graphics (images); Programming language; Artificial intelligence; Algorithm","score_opus":0.02487647243577864,"score_gpt":0.25283914469623725,"score_spread":0.2279626722604586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131598794","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":[0.055287696,0.00010825601,0.94284695,0.00056986616,0.0007001053,0.00019965654,0.0000024141823,0.000039167742,0.00024588133],"genre_scores_gemma":[0.9069927,0.00002478464,0.09113779,0.0016932285,0.00010107166,0.000008865212,0.000012840166,0.000011457553,0.000017302278],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990189,0.000029542021,0.00017713597,0.0003462492,0.00012883171,0.0002993479],"domain_scores_gemma":[0.99933845,0.00013520192,0.00008522426,0.00024116517,0.00013384466,0.00006612035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010118535,0.00014554425,0.0001517037,0.00017284474,0.0005088054,0.000097397424,0.00030393948,0.000052875537,6.9551174e-7],"category_scores_gemma":[0.0000065251247,0.00014577976,0.00008951446,0.0001643549,0.000057527715,0.0007211841,0.00022139547,0.00011692227,0.000004369864],"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":[0.000037820413,0.00012416126,0.019390417,0.000056447014,0.00010186736,0.000042594536,0.0023177397,0.00015537166,0.0035510878,0.9502588,0.0074122557,0.016551469],"study_design_scores_gemma":[0.000629443,0.00023709903,0.050600857,0.00005170492,0.0000089754685,0.00017387206,0.000019446721,0.9293352,0.0014934716,0.010580333,0.00655726,0.0003123618],"about_ca_topic_score_codex":0.000010946642,"about_ca_topic_score_gemma":0.0000030122828,"teacher_disagreement_score":0.93967843,"about_ca_system_score_codex":0.000016598353,"about_ca_system_score_gemma":0.00001657977,"threshold_uncertainty_score":0.5944726},"labels":[],"label_agreement":null},{"id":"W2134519136","doi":"10.1111/j.1467-8659.2009.01513.x","title":"Manifold Homotopy via the Flow Complex","year":2009,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Topological and Geometric Data Analysis","field":"Computer Science","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 Toronto","funders":"","keywords":"Homotopy; Submanifold; Mathematics; Manifold (fluid mechanics); Dimension (graph theory); Pure mathematics; Flow (mathematics); Filtration (mathematics); Critical point (mathematics); Function (biology); Sample (material); Mathematical analysis; Geometry; Physics","score_opus":0.019591535305022077,"score_gpt":0.23574142154996006,"score_spread":0.21614988624493797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134519136","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":[0.0007775042,0.00019180113,0.97683793,0.020700771,0.00037415893,0.00013512239,0.000008429956,0.0002591687,0.000715131],"genre_scores_gemma":[0.9122187,0.000069151894,0.06652773,0.020762697,0.00024319107,0.000006664791,0.00003501483,0.0000069795947,0.00012987613],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99814224,0.000083475345,0.0003017214,0.000523115,0.00040425418,0.0005451783],"domain_scores_gemma":[0.99828726,0.00013942616,0.00009853807,0.0012401689,0.00008955567,0.00014507193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003142522,0.00022048407,0.00026310078,0.00031540488,0.00044267948,0.00036361988,0.0027164205,0.00008723929,0.000040937157],"category_scores_gemma":[0.000011943692,0.00013681159,0.00028169373,0.002531838,0.000087842716,0.00034540505,0.0005961459,0.0002596111,0.00012302885],"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":[0.0000023234873,0.00012416262,0.00057624705,0.0000018223986,0.00004325123,0.000031479743,0.000050193623,0.00009946769,0.000013504716,0.74991494,0.0346356,0.21450698],"study_design_scores_gemma":[0.00024272733,0.00030407417,0.04082132,0.000004742539,0.000019133153,0.00005502063,0.0000049024834,0.6764336,0.000027567317,0.17432256,0.10747074,0.00029359243],"about_ca_topic_score_codex":0.00002456963,"about_ca_topic_score_gemma":0.000014383238,"teacher_disagreement_score":0.9114412,"about_ca_system_score_codex":0.000013123325,"about_ca_system_score_gemma":0.000012967053,"threshold_uncertainty_score":0.55790144},"labels":[],"label_agreement":null},{"id":"W2135482027","doi":"10.1111/cgf.12571","title":"Improving Sampling‐based Motion Control","year":2015,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","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 British Columbia","funders":"","keywords":"Computer science; Stylized fact; Sampling (signal processing); Motion (physics); Key (lock); Implementation; Artificial intelligence; Noise (video); Motion control; Computer vision; Sample (material); Algorithm","score_opus":0.027432527810820808,"score_gpt":0.22449344104265542,"score_spread":0.1970609132318346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135482027","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":[0.020839864,0.000050769868,0.97746426,0.00012085411,0.0006768873,0.00010025302,0.0000036377414,0.0005016879,0.00024178547],"genre_scores_gemma":[0.9946966,0.0000012595281,0.0046506147,0.0004313037,0.00016440674,0.0000060637562,0.000022759052,0.000020365178,0.0000065964146],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942917,0.00001529165,0.00014534585,0.00010800909,0.00012203919,0.00018017554],"domain_scores_gemma":[0.9996593,0.000016636817,0.00002478691,0.00013307136,0.00006783716,0.00009839378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014101046,0.00009897865,0.000094602874,0.00013446287,0.000050775954,0.000063185835,0.000085920314,0.000060169437,0.000007767861],"category_scores_gemma":[0.000007297554,0.000104242026,0.000057764126,0.0001208076,0.000016383552,0.00012397394,0.000011375881,0.00011083455,0.000046820696],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042678203,0.00022479727,0.016672514,0.00038714823,0.00015323647,0.000014339824,0.0008056652,0.5399606,0.0032836664,0.17106913,0.035553608,0.23183258],"study_design_scores_gemma":[0.00074112916,0.000039394894,0.0018482733,0.000012511236,0.0000059812305,0.0000013016731,0.0000078378025,0.99172807,0.00011423636,0.0013689973,0.0040131435,0.00011914426],"about_ca_topic_score_codex":0.0000035045582,"about_ca_topic_score_gemma":0.000006167337,"teacher_disagreement_score":0.97385675,"about_ca_system_score_codex":0.00003055591,"about_ca_system_score_gemma":0.000009963045,"threshold_uncertainty_score":0.42508665},"labels":[],"label_agreement":null},{"id":"W2136496323","doi":"10.1111/j.1467-8659.2008.01217.x","title":"Illustrative Hybrid Visualization and Exploration of Anatomical and Functional Brain Data","year":2008,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"University of Victoria","funders":"","keywords":"Visualization; Computer science; Rendering (computer graphics); Volume rendering; CLARITY; Data visualization; Human–computer interaction; Artificial intelligence; Computer vision","score_opus":0.07229765118405689,"score_gpt":0.3039222059597519,"score_spread":0.231624554775695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136496323","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":[0.036176234,0.00018064203,0.96241075,0.0006460861,0.00018871519,0.00019027655,0.000017250968,0.00017430297,0.000015741023],"genre_scores_gemma":[0.9820559,0.0004714186,0.01643752,0.00078015623,0.0000721101,0.0000075961834,0.00015508353,0.0000130692515,0.0000071529225],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848044,0.00009841047,0.00036476867,0.00057788444,0.0002925656,0.00018592387],"domain_scores_gemma":[0.99875987,0.00014636989,0.00017153674,0.0006022927,0.0002190036,0.00010090365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030815636,0.00017501823,0.00021900781,0.00039009497,0.00024255838,0.00010408689,0.0004639138,0.000071348324,0.0000014326363],"category_scores_gemma":[0.000021110258,0.00017643654,0.000037049813,0.0005805169,0.00026608695,0.0017030888,0.0010097037,0.00011263597,4.1199442e-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":[0.0000056249646,0.0000614836,0.0032633313,0.000017879584,0.000023216944,0.000004893976,0.00037638767,0.000004637611,0.000030004276,0.9856947,0.0065703574,0.0039474866],"study_design_scores_gemma":[0.0003685215,0.00021323768,0.0077651935,0.000028000317,0.000005536012,0.00009578783,0.000014296955,0.9363786,0.0007269527,0.051896498,0.0022925653,0.00021478352],"about_ca_topic_score_codex":0.000013263599,"about_ca_topic_score_gemma":0.000008183409,"teacher_disagreement_score":0.9459732,"about_ca_system_score_codex":0.000007142441,"about_ca_system_score_gemma":0.000057793353,"threshold_uncertainty_score":0.71948737},"labels":[],"label_agreement":null},{"id":"W2136989946","doi":"10.1111/cgf.12309","title":"Recurring part arrangements in shape collections","year":2014,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":57,"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; Similarity (geometry); Segmentation; Key (lock); Ground truth; Artificial intelligence; Shape analysis (program analysis); Image (mathematics); Pattern recognition (psychology); Data mining; Static analysis","score_opus":0.011330401149754223,"score_gpt":0.21995691251142524,"score_spread":0.208626511361671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136989946","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":[0.009226232,0.0000655045,0.98342997,0.00068495696,0.0025732215,0.000102103826,5.8973603e-7,0.00022664275,0.0036907839],"genre_scores_gemma":[0.8625506,0.000057952897,0.13398483,0.0022112716,0.00052340707,0.000056265246,0.000006656747,0.000028885977,0.00058010453],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988481,0.00006620072,0.00023273862,0.00036152228,0.0001585462,0.00033289436],"domain_scores_gemma":[0.99942493,0.0000447421,0.000076560355,0.0003207513,0.00006858292,0.000064440814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030001774,0.00012448974,0.00013953634,0.0004245095,0.00033043468,0.00029657007,0.00045694096,0.00006337362,0.0000058515775],"category_scores_gemma":[0.000013748797,0.00012802129,0.000062964114,0.0012155348,0.000052356296,0.0004448343,0.00018007238,0.00019907525,0.000015994396],"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":[0.00000627729,0.00017356208,0.025724418,0.000056691275,0.00003275893,0.000007580552,0.0005006419,0.00025609488,0.00004097251,0.15258197,0.024550892,0.79606813],"study_design_scores_gemma":[0.0004706253,0.00007629383,0.0016862425,0.000101936814,0.0000032401176,0.000036673755,0.000009411477,0.9239385,0.00018151756,0.028370786,0.044900887,0.0002238667],"about_ca_topic_score_codex":0.000012092455,"about_ca_topic_score_gemma":0.00004502381,"teacher_disagreement_score":0.92368245,"about_ca_system_score_codex":0.00002233964,"about_ca_system_score_gemma":0.000036862588,"threshold_uncertainty_score":0.5220557},"labels":[],"label_agreement":null},{"id":"W2137345765","doi":"10.1111/j.1467-8659.2011.01937.x","title":"The Undistort Lens","year":2011,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Interactive and Immersive Displays","field":"Computer Science","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":"Computer science; Distortion (music); Lens (geology); Complement (music); Presentation (obstetrics); Context (archaeology); Through-the-lens metering; Space (punctuation); Computer graphics (images); Computer vision; Artificial intelligence; Optics; Telecommunications; Geography","score_opus":0.029101850468891327,"score_gpt":0.22715097691105848,"score_spread":0.19804912644216716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137345765","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":[0.0019382108,0.00016841671,0.9731713,0.00097133097,0.002656413,0.00012358864,0.0000017206726,0.00005666737,0.020912355],"genre_scores_gemma":[0.9910991,0.000069326015,0.0045833923,0.003837973,0.000108074804,0.00001326794,0.0000026539537,0.000013421514,0.00027275868],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989283,0.000046511155,0.0001662588,0.00028770984,0.00017128933,0.00039992083],"domain_scores_gemma":[0.9989777,0.000085607055,0.00007706319,0.0006612687,0.00013777165,0.00006058936],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015650007,0.00013710668,0.0000987701,0.00008569308,0.0004745435,0.000111224195,0.0013312207,0.00004558128,0.000006841584],"category_scores_gemma":[0.000006432064,0.000096165095,0.00015436676,0.00027537247,0.00011712923,0.0005333313,0.00041901603,0.00018434902,0.00013518964],"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":[0.000005097141,0.000034532488,0.002178347,0.0000014379996,0.000033563592,0.000011106943,0.0004865785,2.6835895e-7,0.00004631894,0.97354364,0.021567442,0.0020916827],"study_design_scores_gemma":[0.00070339884,0.00084357604,0.16602215,0.000049893566,0.000027480633,0.00013323154,0.0002132206,0.04586191,0.006744069,0.1682118,0.61020607,0.0009832135],"about_ca_topic_score_codex":0.000031246003,"about_ca_topic_score_gemma":0.000021685273,"teacher_disagreement_score":0.9891609,"about_ca_system_score_codex":0.000019603149,"about_ca_system_score_gemma":0.000031959218,"threshold_uncertainty_score":0.3921499},"labels":[],"label_agreement":null},{"id":"W2139395280","doi":"10.1111/1467-8659.00593","title":"Local Physical Models for Interactive Character Animation","year":2002,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","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 Toronto","funders":"","keywords":"Animation; Character animation; Computer science; Character (mathematics); Skeletal animation; Motion (physics); Computer animation; Computer facial animation; Computer graphics (images); Computer graphics; Human–computer interaction; Motion capture; Interactive skeleton-driven simulation; Graphics; Kinematics; Artificial intelligence","score_opus":0.022012999446721634,"score_gpt":0.22263478361014355,"score_spread":0.2006217841634219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139395280","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":[0.035461858,0.00001632687,0.9629656,0.00015883947,0.0002962963,0.00016078562,0.000009126288,0.0002471889,0.0006839558],"genre_scores_gemma":[0.99825674,0.000009804223,0.0011949454,0.00022565018,0.0001969576,0.000024806674,0.000031100135,0.000022309909,0.000037659913],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950486,0.000008309165,0.00012067266,0.000119363096,0.00007997728,0.00016678551],"domain_scores_gemma":[0.9997615,0.000029294124,0.000022450593,0.0000957872,0.000048145004,0.000042784817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000029514973,0.00010606255,0.00010609186,0.00009868925,0.00005983071,0.000047948895,0.00007491248,0.00004512444,0.000019159032],"category_scores_gemma":[0.0000011722033,0.0001083781,0.00009320549,0.000085563224,0.000021289385,0.00039156945,0.000015758702,0.00010556682,0.000052482927],"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":[0.000022478773,0.00038050974,0.00006960056,0.0002449363,0.00017581072,0.0000023937378,0.005503981,0.086219914,0.0011638104,0.66422737,0.058380295,0.1836089],"study_design_scores_gemma":[0.00023863759,0.000056226883,0.00023006875,0.000019549594,0.0000058274686,0.000001951647,0.000014536948,0.9850943,0.00027359865,0.0095384205,0.004406856,0.00012004393],"about_ca_topic_score_codex":3.535256e-7,"about_ca_topic_score_gemma":0.0000016766447,"teacher_disagreement_score":0.9627949,"about_ca_system_score_codex":0.000025156713,"about_ca_system_score_gemma":0.0000010046264,"threshold_uncertainty_score":0.44195306},"labels":[],"label_agreement":null},{"id":"W2139915194","doi":"10.1111/j.1467-8659.2004.00775.x","title":"The Design of an Inexpensive Very High Resolution Scan Camera System","year":2004,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":29,"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; Scanner; Rendering (computer graphics); Computer vision; Computer graphics (images); Artificial intelligence; Digital camera; Software; Camera resectioning; Pixel; Digital photography; Photography","score_opus":0.01467286645313163,"score_gpt":0.2418393744043301,"score_spread":0.22716650795119847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139915194","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":[0.004066007,0.0002630014,0.99331754,0.00094383344,0.0009757749,0.00022145,0.0000014810348,0.00018004524,0.000030876905],"genre_scores_gemma":[0.74630487,0.000042504336,0.2530013,0.0005492298,0.00007365407,0.000008351823,0.0000025861564,0.000012434979,0.000005045653],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985242,0.00012545756,0.00031140415,0.00035591295,0.0003129967,0.0003700142],"domain_scores_gemma":[0.9985473,0.0001291046,0.00018027694,0.0008103428,0.00022861139,0.000104370185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034487303,0.00015875322,0.00018516411,0.00016127068,0.00044674508,0.00015053534,0.0010143967,0.000050705683,1.8860186e-7],"category_scores_gemma":[0.000013062577,0.0001196093,0.00007752397,0.00055205094,0.00015255883,0.000677328,0.00034549265,0.00016978824,0.000005839265],"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":[0.000019778443,0.000048505357,0.0000558854,0.000016418831,0.000020884303,0.00002123386,0.0003217832,0.019534446,0.00027060282,0.93734694,0.00049723766,0.04184631],"study_design_scores_gemma":[0.0007047995,0.00037325922,0.0010392823,0.00015547924,0.0000056405825,0.0000668576,0.00013959805,0.9630711,0.0019985228,0.030707529,0.0015085883,0.00022933328],"about_ca_topic_score_codex":0.00006797599,"about_ca_topic_score_gemma":0.0000096293,"teacher_disagreement_score":0.94353664,"about_ca_system_score_codex":0.00007067854,"about_ca_system_score_gemma":0.00009019927,"threshold_uncertainty_score":0.48775256},"labels":[],"label_agreement":null},{"id":"W2139999654","doi":"10.1111/1467-8659.00485","title":"Adaptive Representation of Specular Light","year":2001,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Université de Montréal; Computer Research Institute of Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Specular reflection; Computer science; Global illumination; Point (geometry); Optics; Computer vision; Representation (politics); Artificial intelligence; Coherence (philosophical gambling strategy); Opacity; Specular highlight; Computer graphics (images); Physics; Rendering (computer graphics); Geometry; Mathematics","score_opus":0.025089739762514794,"score_gpt":0.285249305850166,"score_spread":0.26015956608765123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139999654","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":[0.004293171,0.00015917965,0.993011,0.00066589745,0.00047616684,0.00023656536,0.0000016639472,0.00038792935,0.0007684213],"genre_scores_gemma":[0.93261343,0.0002834619,0.066118695,0.00077758264,0.00012467799,0.000016241704,0.000009813224,0.00002033286,0.00003574561],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99821836,0.00009217097,0.00045449325,0.0005099907,0.0004106855,0.00031428886],"domain_scores_gemma":[0.99833953,0.00006803403,0.00023939408,0.0009067005,0.00033981644,0.000106530206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020987284,0.00020118878,0.00028659301,0.00058814284,0.00012768341,0.00012351498,0.0010848679,0.00010142726,0.0000061399314],"category_scores_gemma":[0.0000073664824,0.00020130308,0.00023401917,0.0020449858,0.000072603725,0.0005222124,0.0005701192,0.00014361499,0.0000058175174],"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":[0.0000054530624,0.00009737741,0.0048121335,0.0000067039764,0.000035939887,0.000018725017,0.00021107699,0.000017760252,0.00008587889,0.9793482,0.00326414,0.012096621],"study_design_scores_gemma":[0.00043328496,0.00047187167,0.0060230824,0.00006902264,0.000011759735,0.000058453043,0.000017859105,0.75807506,0.006144899,0.21124478,0.017055219,0.00039471904],"about_ca_topic_score_codex":0.000029691735,"about_ca_topic_score_gemma":0.000009490066,"teacher_disagreement_score":0.9283203,"about_ca_system_score_codex":0.0000149834295,"about_ca_system_score_gemma":0.000035040393,"threshold_uncertainty_score":0.8208901},"labels":[],"label_agreement":null},{"id":"W2140249977","doi":"10.1111/cgf.12314","title":"Game level layout from design specification","year":2014,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":36,"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; Graph; Block (permutation group theory); Scene graph; Template; Key (lock); Maxima and minima; Theoretical computer science; Programming language; Artificial intelligence; Rendering (computer graphics)","score_opus":0.08942923153882047,"score_gpt":0.2713647923650191,"score_spread":0.1819355608261986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140249977","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":[0.0032515533,0.00007117541,0.99259394,0.0016218075,0.0015330056,0.00019827382,0.000005074247,0.00037500844,0.00035017083],"genre_scores_gemma":[0.7507585,0.000016565706,0.24714376,0.0015897137,0.00039008528,0.000013526488,0.000011041384,0.00001925739,0.00005751994],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979161,0.00018827281,0.00040169584,0.00065674685,0.00037816653,0.00045899447],"domain_scores_gemma":[0.9978719,0.0004599365,0.000159007,0.0011978098,0.00016482551,0.00014653483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047029305,0.00022772764,0.00022466817,0.00020774775,0.00016670574,0.00035835122,0.0018398184,0.0001294963,0.000013935908],"category_scores_gemma":[0.000036744,0.00022387363,0.00012717368,0.0005113414,0.00013372663,0.0005398737,0.00041549347,0.00022849492,0.00046227995],"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":[0.000006531014,0.00007962949,0.0024451828,0.0000032565824,0.000026737593,0.000004458013,0.00083239505,0.001074467,0.00022090292,0.76707125,0.0072081606,0.22102702],"study_design_scores_gemma":[0.00007409241,0.00009467162,0.0039337385,0.000022421056,0.000004556601,0.0000035210983,0.000011159253,0.7366499,0.0059334887,0.23696357,0.016046185,0.00026270642],"about_ca_topic_score_codex":0.00007635016,"about_ca_topic_score_gemma":0.000029227716,"teacher_disagreement_score":0.747507,"about_ca_system_score_codex":0.00002966195,"about_ca_system_score_gemma":0.000038005124,"threshold_uncertainty_score":0.9129302},"labels":[],"label_agreement":null},{"id":"W2141654056","doi":"10.1111/j.1467-8659.2006.01000.x","title":"Physically Based Deformable Models in Computer Graphics","year":2006,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":752,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ubisoft (Canada)","funders":"","keywords":"Computer science; Computer graphics; Animation; Computer graphics (images); Discretization; Crowd simulation; Interactive skeleton-driven simulation; Computer animation; Entertainment; Finite element method; Particle system; Motion capture; Computer facial animation; Motion (physics); Artificial intelligence","score_opus":0.01492240434906315,"score_gpt":0.24476925669067984,"score_spread":0.2298468523416167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141654056","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":[0.006185494,0.00013532698,0.9903114,0.00069925224,0.00070469105,0.0005093806,0.0000091763895,0.0011543938,0.0002909261],"genre_scores_gemma":[0.85939145,0.00005292889,0.1350042,0.004990055,0.00033429713,0.00007197311,0.000075087606,0.00006420878,0.000015812884],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958581,0.0001761399,0.0009615858,0.0011429173,0.0007720547,0.0010892047],"domain_scores_gemma":[0.9975255,0.0001755043,0.0002936737,0.0014299507,0.00037251567,0.00020285987],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006162866,0.0005921709,0.00060247944,0.0015756427,0.00033177168,0.0006882342,0.0022323139,0.0002851013,0.0000029729015],"category_scores_gemma":[0.0000026328357,0.0006016236,0.00044510557,0.0033239422,0.00018312804,0.001473753,0.0009363312,0.0005531871,0.000010471748],"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":[0.0000066483963,0.00043048518,0.0031693294,0.000036175952,0.000016667696,0.000030947238,0.000064541746,0.0099789025,0.0000068137238,0.9761274,0.0052010827,0.004930996],"study_design_scores_gemma":[0.00066751346,0.00020134839,0.0024968728,0.000077825935,0.0000052715122,0.000010713168,7.9841146e-7,0.7099339,0.0002130162,0.28337666,0.0024917312,0.0005243623],"about_ca_topic_score_codex":0.00033144592,"about_ca_topic_score_gemma":0.00022052803,"teacher_disagreement_score":0.85530716,"about_ca_system_score_codex":0.00006651053,"about_ca_system_score_gemma":0.00014942927,"threshold_uncertainty_score":0.9996435},"labels":[],"label_agreement":null},{"id":"W2142424251","doi":"10.1111/j.1467-8659.2009.01445.x","title":"High‐Quality Volumetric Reconstruction on Optimal Lattices for Computed Tomography","year":2009,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Medical Imaging Techniques and Applications","field":"Medicine","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":"Simon Fraser University","funders":"","keywords":"Imaging phantom; Computer science; Algorithm; Interpolation (computer graphics); Iterative reconstruction; Rendering (computer graphics); Tomography; Projection (relational algebra); Equivalence (formal languages); Artificial intelligence; Mathematics; Image (mathematics); Optics; Discrete mathematics; Physics","score_opus":0.0319130189815711,"score_gpt":0.3220094358580838,"score_spread":0.29009641687651266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142424251","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":[0.18143474,0.000077984194,0.7946054,0.021694066,0.00043687524,0.0009496144,0.000027251544,0.00061433006,0.00015976647],"genre_scores_gemma":[0.68275857,0.000028301729,0.31046975,0.0061649904,0.00036209825,0.00004499136,0.000115672476,0.00001613506,0.000039467373],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860895,0.000030066447,0.0003861009,0.00039872935,0.00024943057,0.00032669702],"domain_scores_gemma":[0.9988554,0.00016158583,0.0001443604,0.000436793,0.0001986303,0.00020322653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030395357,0.0001799759,0.00033550046,0.0004982683,0.00018486941,0.000047391117,0.00017406761,0.00013660514,0.000010733066],"category_scores_gemma":[0.0000333293,0.00016058674,0.00025657727,0.00093557406,0.00012380781,0.00007386094,0.00003156064,0.00027667003,0.000005222489],"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":[0.00022016588,0.000967567,0.008293941,0.0001302713,0.00014316147,0.000008172284,0.00003296919,0.000031412965,0.0005187831,0.47635046,0.11719421,0.3961089],"study_design_scores_gemma":[0.0083169155,0.0088335,0.26367167,0.00095726334,0.00048072462,0.00035534066,0.00004222726,0.45911604,0.0077040256,0.11884797,0.13014977,0.0015245554],"about_ca_topic_score_codex":0.000012309046,"about_ca_topic_score_gemma":9.540281e-7,"teacher_disagreement_score":0.5013239,"about_ca_system_score_codex":0.0000226569,"about_ca_system_score_gemma":0.000026674647,"threshold_uncertainty_score":0.6548537},"labels":[],"label_agreement":null},{"id":"W2142453530","doi":"10.1111/j.1467-8659.2011.02087.x","title":"TreeMatrix: A Hybrid Visualization of Compound Graphs","year":2012,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":36,"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","keywords":"Computer science; Visualization; Graph drawing; Adjacency matrix; Cluster analysis; Adjacency list; Theoretical computer science; Data visualization; Graph; Information visualization; Data mining; Algorithm; Artificial intelligence","score_opus":0.02188529305257428,"score_gpt":0.2883071846232263,"score_spread":0.266421891570652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142453530","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":[0.007078501,0.00024830646,0.9909864,0.00018633784,0.0008252358,0.00012988843,0.000014479242,0.00018771717,0.00034311955],"genre_scores_gemma":[0.9842552,0.00007818519,0.014316668,0.0011010412,0.00009604926,0.000003928763,0.00009529658,0.000017991464,0.000035657526],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983496,0.00009048564,0.00044922458,0.00027117477,0.00040517972,0.00043433224],"domain_scores_gemma":[0.9986476,0.00007966308,0.00024219956,0.0006590005,0.00018721519,0.00018436057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037778096,0.00018776336,0.00026536573,0.0004777633,0.00013421585,0.00012659859,0.00087392115,0.00005733232,0.000009819601],"category_scores_gemma":[0.0000150263695,0.00018174204,0.0001628471,0.0011898776,0.000098567056,0.0010057259,0.000416226,0.000086660235,0.000023113467],"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":[0.0000017997469,0.00020938084,0.016870627,0.000032076394,0.000033177777,0.000001850651,0.00017749185,0.000019502275,0.000029457306,0.9701835,0.010144224,0.002296927],"study_design_scores_gemma":[0.0010360861,0.00024968656,0.008011881,0.000094996874,0.000047045272,0.000088423745,0.000033783675,0.8880309,0.0026117673,0.04231231,0.05678663,0.000696495],"about_ca_topic_score_codex":0.000009546687,"about_ca_topic_score_gemma":0.0000033589813,"teacher_disagreement_score":0.97717667,"about_ca_system_score_codex":0.00001341182,"about_ca_system_score_gemma":0.000033400564,"threshold_uncertainty_score":0.74112254},"labels":[],"label_agreement":null},{"id":"W2143538992","doi":"10.1111/cgf.12206","title":"Dynamic Comics for Hierarchical Abstraction of 3D Animation Data","year":2013,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","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":"Kootenay Association for Science & Technology","funders":"Engineering and Physical Sciences Research Council","keywords":"Storyboard; Animation; Computer science; Computer graphics (images); Skeletal animation; Computer animation; Comics; Computer vision; Computer facial animation; Artificial intelligence; Non-photorealistic rendering; Information retrieval; Multimedia","score_opus":0.0215431761261871,"score_gpt":0.24782222245507526,"score_spread":0.22627904632888818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143538992","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":[0.055066716,0.000026563335,0.9436074,0.00013318608,0.00028946667,0.00027372848,0.00004470756,0.0002469477,0.0003113158],"genre_scores_gemma":[0.961643,0.00003547643,0.037713286,0.000057622216,0.000043430777,0.000012653815,0.00043519694,0.000032402022,0.00002692989],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995079,0.000007000157,0.00018672518,0.00010853996,0.000073047675,0.00011676907],"domain_scores_gemma":[0.9996183,0.000030651678,0.000039189268,0.00024213584,0.000037772075,0.00003198314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000072061586,0.000073558906,0.00009152325,0.00012396304,0.000036419002,0.000030989566,0.00016042792,0.000060549264,0.000016866488],"category_scores_gemma":[0.000004027498,0.000078644094,0.000028996756,0.00007984941,0.000024596162,0.000255709,0.000036310314,0.00007868559,0.000012706535],"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":[0.000026910573,0.00037905184,0.0024274224,0.0016523405,0.00032229064,0.0000010022311,0.0005740335,0.019066373,0.014386043,0.32677892,0.28734577,0.34703985],"study_design_scores_gemma":[0.00020232167,0.00003059334,0.006873705,0.000018955607,0.0000054996094,0.0000015140063,0.0000068980066,0.98514205,0.000052467825,0.003524239,0.004064272,0.00007748742],"about_ca_topic_score_codex":0.0000065853114,"about_ca_topic_score_gemma":0.000024605177,"teacher_disagreement_score":0.96607566,"about_ca_system_score_codex":0.000010378974,"about_ca_system_score_gemma":0.000003768064,"threshold_uncertainty_score":0.3207013},"labels":[],"label_agreement":null},{"id":"W2146175859","doi":"10.1111/j.1467-8659.2004.00764.x","title":"A Biophysically‐Based Spectral Model of Light Interaction with Human Skin","year":2004,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":134,"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":"Computer science; Rendering (computer graphics); Computer graphics; Transmittance; Monte Carlo method; Image synthesis; Reflectivity; Graphics; Global illumination; Artificial intelligence; Computer vision; Biological system; Computer graphics (images); Optics; Image (mathematics); Mathematics; Physics","score_opus":0.011506214353867759,"score_gpt":0.2474969829486521,"score_spread":0.23599076859478435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146175859","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":[0.5305636,6.809757e-7,0.4681725,0.0005767958,0.000021199277,0.00009164778,0.000005818031,0.000017051241,0.00055069936],"genre_scores_gemma":[0.99434626,1.1423147e-7,0.005430385,0.000094375384,0.00007626184,0.000019626626,0.000015395946,0.0000070972887,0.000010504749],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994137,0.0000043160403,0.00012655056,0.00018221811,0.00010984066,0.0001633534],"domain_scores_gemma":[0.9995993,0.000007708987,0.00007889974,0.00021547191,0.000051466854,0.00004714929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000026424139,0.00009328639,0.00010628826,0.00008364538,0.000120109944,0.000030154286,0.00017391989,0.00001624398,0.000006633356],"category_scores_gemma":[8.940384e-8,0.00007776852,0.000092719296,0.00029651678,0.00006920988,0.000118578,0.000033187538,0.00009829895,0.000004802269],"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":[0.000007774507,0.00038283816,0.0022426608,0.0000043696896,0.000022020065,2.482522e-7,0.00014191376,0.022678545,0.0084349755,0.9648554,0.000100423866,0.0011288282],"study_design_scores_gemma":[0.0018694547,0.00070176454,0.004138283,0.00011195764,0.000052917243,0.0000011205933,0.00013604072,0.54472876,0.14440976,0.30258626,0.00074550364,0.000518184],"about_ca_topic_score_codex":0.00006261319,"about_ca_topic_score_gemma":0.000025408666,"teacher_disagreement_score":0.6622692,"about_ca_system_score_codex":0.000010031146,"about_ca_system_score_gemma":0.000046998026,"threshold_uncertainty_score":0.31713083},"labels":[],"label_agreement":null},{"id":"W2146465486","doi":"10.1111/j.1467-8659.2005.00850.x","title":"Predictive Feedback for Interactive Control of Physics‐based Characters","year":2005,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","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":"Computer science; Citation; Library science; Computer graphics (images)","score_opus":0.008670348516532464,"score_gpt":0.21119372903801423,"score_spread":0.20252338052148178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146465486","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":[0.02686372,0.000016255013,0.9720161,0.00021343745,0.0002765218,0.00027327015,0.000049971986,0.00013816831,0.00015254041],"genre_scores_gemma":[0.9974225,0.0000034307918,0.0018652643,0.00038284814,0.00023477025,0.000025695063,0.00003912893,0.00001984599,0.000006515621],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994841,0.00001092769,0.00017233926,0.00010429691,0.0000774382,0.0001508583],"domain_scores_gemma":[0.9996463,0.00006630444,0.000054651253,0.00010249561,0.000091602065,0.000038646085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000051082425,0.00010587063,0.00014736713,0.00008710821,0.000034883255,0.000017291179,0.0000868181,0.000044396642,0.000006566432],"category_scores_gemma":[0.0000029779185,0.00011064536,0.00012131362,0.00008355838,0.000030596293,0.0001857681,0.000007994511,0.0000908907,0.000008093655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006193476,0.00094956794,0.0048853117,0.0008998817,0.0013431234,0.0000021109242,0.0042755194,0.40249327,0.015721846,0.22117326,0.022365648,0.32527113],"study_design_scores_gemma":[0.0011407215,0.00011476619,0.006067417,0.000048337646,0.00001545351,3.132115e-7,0.000013758949,0.98558193,0.0035998216,0.00069336843,0.002618162,0.00010592994],"about_ca_topic_score_codex":3.9288668e-7,"about_ca_topic_score_gemma":0.0000025078411,"teacher_disagreement_score":0.97055876,"about_ca_system_score_codex":0.00002624449,"about_ca_system_score_gemma":0.0000069910843,"threshold_uncertainty_score":0.45119867},"labels":[],"label_agreement":null},{"id":"W2146567966","doi":"10.1111/1467-8659.t01-1-00707","title":"A Biologically-Parameterized Feather Model","year":2002,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Greenhouse Technology and Climate Control","field":"Agricultural and Biological Sciences","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 British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Parameterized complexity; Computer science; Feather; Computer graphics (images); Artificial intelligence; Algorithm; Biology; Zoology","score_opus":0.030921923636251236,"score_gpt":0.1928501285179719,"score_spread":0.16192820488172066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146567966","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":[0.9898263,0.0002282914,0.002244688,0.006062331,0.00012545713,0.00019844205,0.000022172162,0.0005970468,0.00069526193],"genre_scores_gemma":[0.9955486,0.00012998134,0.0008397776,0.0032521486,0.00006359977,0.000025329602,0.000012259197,0.0000013488997,0.00012695952],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892896,0.00003861678,0.00018131685,0.00033853902,0.00009936984,0.00041316566],"domain_scores_gemma":[0.9996247,0.000090299014,0.0000595922,0.000113401264,0.0000385245,0.00007343638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009997489,0.00016949546,0.00021096431,0.000022000419,0.00021630894,0.000042042335,0.0004311538,0.00024556732,0.00031864998],"category_scores_gemma":[0.000009338776,0.00006151273,0.00017230249,0.00028052312,0.00013306271,0.00006692448,0.00014848335,0.00019289629,0.00013158379],"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":[0.000118565426,0.0011820622,0.05828466,0.000013159997,0.00020999303,0.0000635451,0.00014179086,0.00008917468,0.079065315,0.23767518,0.0304993,0.59265727],"study_design_scores_gemma":[0.0010355328,0.0011160906,0.025037525,0.000025290961,0.0000359075,0.000048052927,0.000041238585,0.8527741,0.00040091472,0.07325171,0.045374747,0.0008589144],"about_ca_topic_score_codex":0.000008307701,"about_ca_topic_score_gemma":0.00005492522,"teacher_disagreement_score":0.8526849,"about_ca_system_score_codex":0.0000058524897,"about_ca_system_score_gemma":8.296307e-7,"threshold_uncertainty_score":0.34889936},"labels":[],"label_agreement":null},{"id":"W2146700972","doi":"10.1111/j.1467-8659.2009.01633.x","title":"Consensus Skeleton for Non‐rigid Space‐time Registration","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"University of British Columbia; Simon Fraser University","funders":"","keywords":"Computer science; Artificial intelligence; Computer vision; Skeleton (computer programming); Rigid transformation; Mirroring; Point cloud; Point (geometry); Frame (networking); Feature (linguistics); Pattern recognition (psychology); Algorithm; Geometry; Mathematics","score_opus":0.006950933097610634,"score_gpt":0.2083983909983724,"score_spread":0.20144745790076177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146700972","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":[0.18114348,0.000034252065,0.81578684,0.0008634318,0.00085851474,0.00017288674,0.000019992473,0.00039052535,0.0007300828],"genre_scores_gemma":[0.9810953,0.00001078495,0.018136946,0.00012532003,0.00031780012,0.000013852673,0.00005640825,0.000035520592,0.00020806727],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99921,0.0000057530888,0.00020223274,0.00019474601,0.00010727065,0.00027997038],"domain_scores_gemma":[0.99943596,0.00006233715,0.00003658226,0.00030141178,0.00008374695,0.000079973885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001440296,0.00015422338,0.00017874407,0.00014874007,0.00010965387,0.000069289905,0.00014495844,0.00013437643,0.000007989328],"category_scores_gemma":[0.000008652425,0.0001576603,0.00017508569,0.00017842856,0.000041911942,0.000043425636,0.000018982222,0.0002198415,0.000026915315],"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":[0.00006600935,0.00026275852,0.004259709,0.00063326117,0.001178798,0.00003892898,0.0006681244,0.20054218,0.07616304,0.12118089,0.5284502,0.0665561],"study_design_scores_gemma":[0.00024610807,0.00003708464,0.00010550166,0.000013549302,0.000029953982,0.0000063493717,0.0000036384206,0.98406935,0.0011525418,0.0036085802,0.010530127,0.00019723157],"about_ca_topic_score_codex":0.000008768448,"about_ca_topic_score_gemma":0.000058443547,"teacher_disagreement_score":0.79995185,"about_ca_system_score_codex":0.000007784801,"about_ca_system_score_gemma":0.000014301069,"threshold_uncertainty_score":0.64292},"labels":[],"label_agreement":null},{"id":"W2148103003","doi":"10.1111/cgf.12162","title":"An Efficient Algorithm for Determining an Aesthetic Shape Connecting Unorganized 2D Points","year":2013,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":18,"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":"Boundary (topology); Mathematics; Algorithm; Euclidean geometry; Graph; Greedy algorithm; Computer science; Topology (electrical circuits); Geometry; Combinatorics","score_opus":0.015186877846450035,"score_gpt":0.2548097368812492,"score_spread":0.23962285903479916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148103003","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":[0.24981816,0.000033553555,0.748168,0.00042283387,0.00082629634,0.0004444787,0.0000036939593,0.00027411157,0.000008900341],"genre_scores_gemma":[0.52848667,0.0000014902084,0.47009566,0.0011263177,0.00017349393,0.00004199643,0.000047140602,0.000022797565,0.000004409771],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99792004,0.000117634176,0.00039683355,0.000725322,0.00030781227,0.00053239026],"domain_scores_gemma":[0.9983758,0.0001551188,0.0001681025,0.0005973041,0.00043938047,0.00026432108],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046846355,0.0002557825,0.00024115518,0.00036641676,0.00058168446,0.0006979938,0.00092127686,0.000104682586,0.000014300153],"category_scores_gemma":[0.000015805055,0.00025963492,0.00012196766,0.0006946368,0.000040665967,0.0008649013,0.0002233124,0.00014968953,0.000029487042],"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":[0.000002843461,0.0002091545,0.00014584804,0.000009642752,0.000015539485,0.000004343689,0.0005991277,0.008704992,0.00027234858,0.035536677,0.00027677126,0.95422274],"study_design_scores_gemma":[0.0007393235,0.0006026952,0.0009676987,0.000019128012,0.000007960518,0.000091767324,0.000044396285,0.9885445,0.000596442,0.007410799,0.0006311211,0.0003441454],"about_ca_topic_score_codex":0.000011669994,"about_ca_topic_score_gemma":0.000005250335,"teacher_disagreement_score":0.9798395,"about_ca_system_score_codex":0.000029433939,"about_ca_system_score_gemma":0.00006617057,"threshold_uncertainty_score":0.9999856},"labels":[],"label_agreement":null},{"id":"W2148191884","doi":"10.1111/cgf.12675","title":"Extracting Microfacet‐based BRDF Parameters from Arbitrary Materials with Power Iterations","year":2015,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Agence Nationale de la Recherche","keywords":"Bidirectional reflectance distribution function; Eigenvalues and eigenvectors; Computer science; Algorithm; Surface finish; Anisotropy; Texture mapping; Mathematical optimization; Mathematics; Artificial intelligence; Optics; Reflectivity; Physics","score_opus":0.03024620544998325,"score_gpt":0.26685201684539467,"score_spread":0.23660581139541143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148191884","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":[0.11151271,0.0001258556,0.885378,0.0007654666,0.00092088815,0.00034400838,0.00003308768,0.0008242948,0.00009570964],"genre_scores_gemma":[0.681273,0.000010123886,0.31448984,0.003956538,0.00008380019,0.00003914267,0.00009908846,0.00003978554,0.00000872339],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973886,0.00018524377,0.00054712355,0.0008226921,0.00051641575,0.00053992396],"domain_scores_gemma":[0.9977095,0.00020027618,0.00029883362,0.0011064087,0.00037037235,0.0003146091],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00043021896,0.00040028768,0.00038626208,0.00055367703,0.00026987412,0.001247549,0.0012505932,0.00016707978,0.000009544333],"category_scores_gemma":[0.000013394804,0.00036301088,0.00013561116,0.001050564,0.00011843297,0.0010176008,0.00041619135,0.00027377924,0.000015061367],"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":[0.00006187631,0.0005082164,0.008371912,0.000026650196,0.00019583454,0.00012355996,0.0015750999,0.00021953495,0.0011291415,0.9648673,0.018947272,0.0039735916],"study_design_scores_gemma":[0.003484628,0.0019111402,0.004294362,0.000490551,0.00006641282,0.00011409819,0.00009671483,0.74022245,0.09608229,0.115230404,0.0354752,0.0025317187],"about_ca_topic_score_codex":0.00012266803,"about_ca_topic_score_gemma":0.000023590903,"teacher_disagreement_score":0.8496369,"about_ca_system_score_codex":0.00003821808,"about_ca_system_score_gemma":0.00019682306,"threshold_uncertainty_score":0.99988216},"labels":[],"label_agreement":null},{"id":"W2148462430","doi":"10.1111/j.1467-8659.2011.02021.x","title":"Large‐Scale Integer Linear Programming for Orientation Preserving 3<i>D</i> Shape Matching","year":2011,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Western University","funders":"","keywords":"Integer programming; Linear programming; Matching (statistics); Computer science; Integer (computer science); Orientation (vector space); Algorithm; Time complexity; Mathematical optimization; Mathematics; Theoretical computer science; Geometry","score_opus":0.020419691867638024,"score_gpt":0.23401728351221623,"score_spread":0.2135975916445782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148462430","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":[0.09770852,0.00011612771,0.90086156,0.0000419742,0.00045052866,0.00019047734,0.000010634542,0.00047613846,0.00014401747],"genre_scores_gemma":[0.89750123,0.0000210579,0.10186502,0.00014382503,0.00025397993,0.000058986454,0.00006182535,0.000060737275,0.000033339278],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885947,0.000013985601,0.000285398,0.000257024,0.00013566464,0.00044845566],"domain_scores_gemma":[0.99948317,0.000035832458,0.00004331471,0.000250663,0.00010070924,0.00008628758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023037205,0.00018485081,0.00019811952,0.00018306216,0.00017642745,0.0000608086,0.00024834776,0.0000975986,0.000016270205],"category_scores_gemma":[0.000005082558,0.0001856175,0.00020231973,0.00029564838,0.000017725004,0.00022603452,0.00008970823,0.00018712223,0.000008924853],"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":[0.00023723244,0.001225085,0.052670937,0.0039964495,0.0031967608,0.0000560369,0.13787755,0.34866595,0.001226479,0.073878646,0.019168995,0.3577999],"study_design_scores_gemma":[0.00026162926,0.000043656288,0.000093290975,0.0000633007,0.000046053054,0.0000020442676,0.00033845296,0.9913386,0.00026259862,0.003902079,0.0034215904,0.00022667083],"about_ca_topic_score_codex":0.000014312349,"about_ca_topic_score_gemma":0.000060307204,"teacher_disagreement_score":0.7997927,"about_ca_system_score_codex":0.000016542324,"about_ca_system_score_gemma":0.000007397108,"threshold_uncertainty_score":0.7569262},"labels":[],"label_agreement":null},{"id":"W2148778401","doi":"10.1111/cgf.12744","title":"Procedural Tree Modeling with Guiding Vectors","year":2015,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Graph Theory and Algorithms","field":"Computer Science","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":"Carleton University","funders":"","keywords":"Computer science; Graph; Tree (set theory); Theoretical computer science; Algorithm; Artificial intelligence; Mathematics; Combinatorics","score_opus":0.04156342106086449,"score_gpt":0.2319898529603861,"score_spread":0.1904264318995216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148778401","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":[0.0483487,0.000117548225,0.9488755,0.0008612622,0.0007238732,0.00015006479,8.9869394e-7,0.00041748633,0.00050466787],"genre_scores_gemma":[0.9139946,0.000003711521,0.0847765,0.0010160443,0.000148398,0.000013474393,0.00000366676,0.000021248585,0.000022368851],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99822766,0.000060241757,0.00024451927,0.00051219173,0.00040160347,0.0005537709],"domain_scores_gemma":[0.9987785,0.000036531754,0.000079800346,0.00059668237,0.00022327517,0.00028519792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040790622,0.0002515037,0.00022042765,0.0002902428,0.00022463266,0.00026937012,0.0011453159,0.000076329336,6.268782e-7],"category_scores_gemma":[0.000010158979,0.00020035027,0.00010451645,0.0009470397,0.00007670023,0.00080383715,0.0003801944,0.00016809185,0.000013938327],"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":[0.000018974037,0.00007193746,0.0014894516,0.000013790313,0.000052481326,0.000046312274,0.0011167404,0.008082481,0.000014727966,0.9773042,0.0014073193,0.010381546],"study_design_scores_gemma":[0.00051782397,0.00029409307,0.00006318355,0.00004523484,0.00000731929,0.000089724024,0.00006358002,0.90388495,0.00013682623,0.09399535,0.00059239654,0.00030951932],"about_ca_topic_score_codex":0.000009380675,"about_ca_topic_score_gemma":0.000013199753,"teacher_disagreement_score":0.89580244,"about_ca_system_score_codex":0.000024001347,"about_ca_system_score_gemma":0.00010475441,"threshold_uncertainty_score":0.81700474},"labels":[],"label_agreement":null},{"id":"W2148893894","doi":"10.1111/cgf.12378","title":"ConVis: A Visual Text Analytic System for Exploring Blog Conversations","year":2014,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","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":"University of British Columbia","funders":"","keywords":"Computer science; Automatic summarization; Metadata; Visualization; Set (abstract data type); Domain (mathematical analysis); Information retrieval; World Wide Web; Information visualization; Visual analytics; Human–computer interaction; Artificial intelligence","score_opus":0.03715807506847913,"score_gpt":0.27631692873404023,"score_spread":0.2391588536655611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148893894","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":[0.0021791102,0.000021897204,0.9949708,0.0007417046,0.0012016001,0.00024240265,0.000014232938,0.00044947487,0.00017876226],"genre_scores_gemma":[0.9797416,0.000013176706,0.01814466,0.0016349712,0.00025214246,0.000061148334,0.00007226119,0.000024781704,0.000055281063],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982637,0.000076180666,0.00041029995,0.0005214398,0.00028415522,0.0004442094],"domain_scores_gemma":[0.9985024,0.00025376774,0.00016835734,0.00064054277,0.00025036957,0.00018458693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045089153,0.00021370687,0.00029291,0.0004130456,0.00033727754,0.00042148252,0.0009067703,0.000073785064,0.0000027749581],"category_scores_gemma":[0.00003109808,0.00021312789,0.00019121109,0.00080319203,0.00007469667,0.0006451378,0.00033346002,0.0001077094,0.00004982696],"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":[0.0000022597662,0.00004925374,0.0007604933,0.00007510758,0.000053917025,0.0000015677567,0.00019985848,0.000147843,0.000010074489,0.99198335,0.0028403497,0.0038759375],"study_design_scores_gemma":[0.0006391321,0.00016724256,0.000206073,0.00006532147,0.00002981457,0.000009534083,0.00014052079,0.9729516,0.00017262402,0.0031853407,0.02216479,0.00026800745],"about_ca_topic_score_codex":0.000008262753,"about_ca_topic_score_gemma":0.000012649961,"teacher_disagreement_score":0.988798,"about_ca_system_score_codex":0.000040138526,"about_ca_system_score_gemma":0.00005171899,"threshold_uncertainty_score":0.8691103},"labels":[],"label_agreement":null},{"id":"W2149462621","doi":"10.1111/j.1467-8659.2009.01368.x","title":"Modal Locomotion: Animating Virtual Characters with Natural Vibrations","year":2009,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","field":"Engineering","cited_by":43,"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":"Computer science; Modal; Vibration; Kinematics; Animation; Stiffness; Acoustics; Computer graphics (images); Physics; Structural engineering; Classical mechanics; Engineering","score_opus":0.005862182450646514,"score_gpt":0.18863206759160014,"score_spread":0.18276988514095363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149462621","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":[0.32401165,0.000031249063,0.67337865,0.00081814,0.00040432016,0.00015490018,0.0000034795758,0.0006931729,0.0005044181],"genre_scores_gemma":[0.9945676,0.000005914422,0.004616485,0.0005416986,0.00017503399,0.0000036003335,0.000053164556,0.000015478592,0.000021063865],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933994,0.000012878902,0.0001656107,0.00013312194,0.00014073636,0.00020769412],"domain_scores_gemma":[0.9997254,0.000011664587,0.000031066338,0.00012885078,0.00004361243,0.00005941299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000047744106,0.00013801479,0.00010773025,0.0001434119,0.0001563867,0.00011122951,0.00010284913,0.00004764403,0.000012889044],"category_scores_gemma":[0.0000013497336,0.0001287579,0.000051461626,0.00022922635,0.000024425839,0.00038614168,0.000011312223,0.00019925047,0.000022529422],"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":[0.000027861352,0.000208757,0.0016399786,0.00008124369,0.0001468611,0.00003439346,0.0021626859,0.057556763,0.0055179982,0.8294015,0.009422812,0.093799144],"study_design_scores_gemma":[0.00036697672,0.0002122961,0.034488946,0.000055764838,0.000007198626,0.000025952457,0.000035575373,0.96256,0.0002644517,0.0011121306,0.0006340834,0.00023659834],"about_ca_topic_score_codex":4.1477824e-7,"about_ca_topic_score_gemma":0.0000051367592,"teacher_disagreement_score":0.90500325,"about_ca_system_score_codex":0.00002106394,"about_ca_system_score_gemma":0.000006411681,"threshold_uncertainty_score":0.5250595},"labels":[],"label_agreement":null},{"id":"W2149536868","doi":"10.1111/cgf.12285","title":"Spatio‐temporal geometry fusion for multiple hybrid cameras using moving least squares surfaces","year":2014,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","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":"Concordia University","funders":"Department of Science and Technology, Ministry of Science and Technology, India","keywords":"Computer vision; Computer science; Artificial intelligence; Key (lock); Computer graphics (images); Set (abstract data type); Ranging; Moving least squares; Mathematics","score_opus":0.0201284143127558,"score_gpt":0.2663743371635189,"score_spread":0.24624592285076308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149536868","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":[0.13732855,0.00016074421,0.8602332,0.00048649134,0.001235271,0.0002687651,0.000008475507,0.00025861544,0.000019890911],"genre_scores_gemma":[0.6659678,0.000008691764,0.3328807,0.00094021147,0.0001426122,0.0000058233054,0.000018316605,0.000023344313,0.000012480657],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978415,0.00007932835,0.00040277228,0.0006826214,0.0003540047,0.0006397934],"domain_scores_gemma":[0.9983543,0.00033985608,0.0002327411,0.0006742389,0.00022380777,0.00017503306],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043451655,0.00028982435,0.00031987758,0.00042356763,0.0006341879,0.00035905442,0.0008948474,0.000061091014,0.0000030625956],"category_scores_gemma":[0.000077736004,0.00028161213,0.00019912858,0.0005554848,0.000093097275,0.00101067,0.00068008795,0.00020761859,0.000007527998],"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":[0.0000705727,0.00031583174,0.2156821,0.00024622233,0.000082344464,0.000019374776,0.00060904666,0.028643085,0.0020449695,0.083322585,0.0061391867,0.6628247],"study_design_scores_gemma":[0.00066209317,0.00012873029,0.0024722826,0.00008674521,0.0000056929916,0.00001918976,0.000020063733,0.9715279,0.001098297,0.0066420385,0.016971083,0.00036593404],"about_ca_topic_score_codex":0.00008794004,"about_ca_topic_score_gemma":0.000036562746,"teacher_disagreement_score":0.94288474,"about_ca_system_score_codex":0.0000352518,"about_ca_system_score_gemma":0.000042008232,"threshold_uncertainty_score":0.9999636},"labels":[],"label_agreement":null},{"id":"W2150268108","doi":"10.1111/1467-8659.00450","title":"Wavelet Radiative Transfer and Surface Interaction","year":2000,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Image Fusion 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","funders":"","keywords":"Radiance; Radiative transfer; Wavelet; Bidirectional reflectance distribution function; Smoothing; Computation; Surface (topology); Representation (politics); Computer science; Basis (linear algebra); Operator (biology); Basis function; Algorithm; Geometry; Mathematics; Mathematical analysis; Physics; Computer vision; Optics; Reflectivity","score_opus":0.00570571572279846,"score_gpt":0.20886719999638076,"score_spread":0.2031614842735823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150268108","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":[0.20122868,0.00024021878,0.79632944,0.00012421745,0.00019983052,0.00014956131,0.000009432276,0.00069963693,0.0010189869],"genre_scores_gemma":[0.9783272,0.0010702668,0.020155426,0.00028367245,0.0000487224,0.000006295233,0.000010246874,0.000034807777,0.00006333788],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994662,0.000013437716,0.0001282579,0.00014395469,0.0000673355,0.00018083537],"domain_scores_gemma":[0.9997541,0.00003588858,0.000005631296,0.00013297137,0.000018878318,0.000052559655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000038164235,0.0001283354,0.00011873096,0.000066345434,0.00005240784,0.000029391704,0.00007530642,0.000057903908,0.000086466556],"category_scores_gemma":[9.0252934e-7,0.00013239385,0.000040176226,0.0001439901,0.00004082378,0.00025189007,0.000014097394,0.00018643898,0.000012706052],"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":[0.000041244573,0.000062487576,0.00078305346,0.000096925745,0.00011255163,0.000027458884,0.0013201386,0.017734246,0.0028983357,0.008493669,0.022099016,0.94633085],"study_design_scores_gemma":[0.00045633072,0.00013416055,0.0015826771,0.0000640871,0.000011807413,0.000042143467,0.000029170464,0.87658596,0.019127823,0.005417894,0.09610237,0.00044558747],"about_ca_topic_score_codex":0.0000038619264,"about_ca_topic_score_gemma":0.0000049323507,"teacher_disagreement_score":0.9458853,"about_ca_system_score_codex":0.000015565407,"about_ca_system_score_gemma":0.0000022640386,"threshold_uncertainty_score":0.5398864},"labels":[],"label_agreement":null},{"id":"W2154164376","doi":"10.1111/cgf.12096","title":"An Interactive Analysis and Exploration Tool for Epigenomic Data","year":2013,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","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 British Columbia; BC Cancer Agency; Canada's Michael Smith Genome Sciences Centre; Simon Fraser University","funders":"","keywords":"Computer science; Workflow; Visualization; Epigenomics; Cluster analysis; Domain (mathematical analysis); Data exploration; Abstraction; Human–computer interaction; Data visualization; Interactive visualization; Interface (matter); Data mining; Artificial intelligence; Database","score_opus":0.02560027784515995,"score_gpt":0.2932255831214953,"score_spread":0.2676253052763354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154164376","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":[0.29230735,0.00008335723,0.70692074,0.00031536884,0.000106352505,0.00022005738,0.000028662049,0.000009305753,0.000008790694],"genre_scores_gemma":[0.99097216,0.000113071124,0.006471285,0.0004761507,0.00013712922,0.00008072096,0.0017082001,0.000009825542,0.00003148082],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993038,0.000030794065,0.00012588844,0.00037743515,0.000046014316,0.000116046795],"domain_scores_gemma":[0.99918044,0.000009069166,0.000067299894,0.0006008652,0.000092974995,0.00004932979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000087311455,0.00008378024,0.00008721931,0.00010645765,0.000081825085,0.0000820407,0.00023234585,0.00006522177,0.0000055868322],"category_scores_gemma":[0.0000067483634,0.00007844138,0.000045485398,0.00013009622,0.000029646357,0.00003779961,0.00013077093,0.000033668148,0.0000019405716],"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":[0.00017543221,0.00027441664,0.043506492,0.000037876773,0.0011181812,3.3928663e-7,0.000369841,0.00027005345,0.63109785,0.004583029,0.052455228,0.26611122],"study_design_scores_gemma":[0.0015925611,0.0010900262,0.11936081,0.000018055565,0.00039081444,0.000004084497,0.0005197173,0.69016635,0.07689173,0.007196595,0.101911105,0.0008581158],"about_ca_topic_score_codex":0.000014928823,"about_ca_topic_score_gemma":0.000046910995,"teacher_disagreement_score":0.70044947,"about_ca_system_score_codex":0.0000041755025,"about_ca_system_score_gemma":0.000016164862,"threshold_uncertainty_score":0.31987467},"labels":[],"label_agreement":null},{"id":"W2154891655","doi":"10.1111/j.1467-8659.2011.01863.x","title":"Combinatorial Bidirectional Path‐Tracing for Efficient Hybrid CPU/GPU Rendering","year":2011,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":34,"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":"Computer science; Rendering (computer graphics); Path tracing; Shader; Parallel computing; Tracing; Central processing unit; Ray tracing (physics); Implementation; Computer graphics (images); Computer hardware; Operating system","score_opus":0.030746799251209427,"score_gpt":0.2620639599133142,"score_spread":0.23131716066210478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154891655","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":[0.006783378,0.00010847462,0.9862241,0.000094816656,0.0049034064,0.00049190805,0.000012600828,0.001083002,0.00029828315],"genre_scores_gemma":[0.9172002,0.000028367956,0.08172972,0.0005194036,0.00035439292,0.00009663703,0.000020845235,0.000041199277,0.000009207723],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974946,0.00007388732,0.0005465708,0.00081808557,0.00043203565,0.0006348419],"domain_scores_gemma":[0.9982941,0.00014169226,0.00022996527,0.00075971725,0.00037839424,0.00019609743],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005793365,0.00034060204,0.00032700173,0.0006029879,0.0005357964,0.00028608172,0.0012155412,0.000122052355,0.0000049397],"category_scores_gemma":[0.000012907214,0.00035774542,0.00034741583,0.0008379593,0.00009154705,0.0003332448,0.0006782747,0.00024104693,0.000004616123],"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":[0.00001238101,0.00022310842,0.00067156565,0.000030457319,0.000043904914,0.000008898236,0.00034422832,0.00003096102,0.000019612351,0.98918176,0.002627657,0.0068054553],"study_design_scores_gemma":[0.00067253946,0.00041348735,0.0009110986,0.00006990794,0.0000119863025,0.00004674075,0.0000067987767,0.78519833,0.0034904121,0.20133048,0.007347304,0.00050091837],"about_ca_topic_score_codex":0.000030258563,"about_ca_topic_score_gemma":0.000004353745,"teacher_disagreement_score":0.91041684,"about_ca_system_score_codex":0.00004365463,"about_ca_system_score_gemma":0.0000806825,"threshold_uncertainty_score":0.99988747},"labels":[],"label_agreement":null},{"id":"W2155405213","doi":"10.1111/j.1467-8659.2009.01710.x","title":"Pathline: A Tool For Comparative Functional Genomics","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":74,"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":"Broad Institute; Computing Research Association; National Science Foundation","keywords":"ENCODE; Genomics; Visualization; Comparative genomics; Functional genomics; Data visualization; Computer science; Computational biology; Streamlines, streaklines, and pathlines; Biology; Data science; Genome; Data mining; Gene; Genetics","score_opus":0.012787198542831972,"score_gpt":0.2319105585564688,"score_spread":0.21912336001363683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155405213","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":[0.3661544,0.00009756942,0.6313073,0.00023940633,0.0015437129,0.00036250707,0.00007619839,0.000018917843,0.00020000672],"genre_scores_gemma":[0.964342,0.000030109739,0.031105947,0.0021191547,0.0014466734,0.000057440317,0.00071384874,0.000023922234,0.00016089788],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991621,0.0000086615855,0.00023608908,0.0002379684,0.000071759685,0.0002834558],"domain_scores_gemma":[0.9993694,0.000022558237,0.000089235444,0.00031405728,0.00013333072,0.00007146034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016175257,0.00015993469,0.00014511327,0.00004482527,0.00016332962,0.00005112799,0.00019605944,0.00019728274,0.000007689942],"category_scores_gemma":[0.0000051154298,0.00015263706,0.00016964362,0.00006181157,0.00009303171,0.0000048846355,0.000140478,0.00018117315,0.0000078859075],"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":[0.00062991853,0.00040169555,0.0070455824,0.00010496049,0.00069425994,0.000002439694,0.00039819343,0.0017260755,0.13588548,0.3361066,0.48014235,0.03686247],"study_design_scores_gemma":[0.0016414964,0.00054035446,0.0030472681,0.0000075421017,0.00003036184,0.0000415043,0.000034711957,0.14110391,0.0064676004,0.011967843,0.8345419,0.00057550875],"about_ca_topic_score_codex":0.0000011777593,"about_ca_topic_score_gemma":0.000043143664,"teacher_disagreement_score":0.6002013,"about_ca_system_score_codex":0.0000043386335,"about_ca_system_score_gemma":0.0000640113,"threshold_uncertainty_score":0.62243587},"labels":[],"label_agreement":null},{"id":"W2155565025","doi":"10.1111/j.1467-8659.2009.01444.x","title":"Collaborative Brushing and Linking for Co‐located Visual Analytics of Document Collections","year":2009,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":125,"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":"Visual analytics; Computer science; Analytics; Visualization; World Wide Web; Cultural analytics; Human–computer interaction; Interactive visual analysis; Data science; Information retrieval; Semantic analytics; Data mining","score_opus":0.014168537897719711,"score_gpt":0.3101463555013526,"score_spread":0.2959778176036329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155565025","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":[0.0020606234,0.00009026003,0.99616164,0.00095586176,0.00019670914,0.00027193167,0.000025144964,0.00009801147,0.0001398255],"genre_scores_gemma":[0.90234226,0.00021370412,0.09398538,0.0030272717,0.0001097376,0.000010087988,0.00013465254,0.000017271932,0.00015965005],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987576,0.000045283345,0.00037551878,0.00032999145,0.00022734473,0.00026425603],"domain_scores_gemma":[0.9988746,0.00014101273,0.00019854831,0.00026648212,0.0004164873,0.00010289161],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000283373,0.0001560588,0.00025285262,0.00043936737,0.00037243255,0.0003982146,0.000388143,0.00007673646,0.0000011450433],"category_scores_gemma":[0.000023902332,0.0001571273,0.000074934134,0.0019805739,0.00007498925,0.00042216256,0.00012574848,0.00009633124,6.3652084e-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":[0.000013062721,0.00017972318,0.0012692256,0.00003675262,0.000085129446,0.0000027873848,0.00070427125,0.00061875134,0.0001021939,0.9758371,0.011347874,0.009803143],"study_design_scores_gemma":[0.00070592127,0.0006005534,0.00073427876,0.000066008084,0.00002779844,0.0000057376037,0.000069648995,0.9596436,0.0011571071,0.026572295,0.010189141,0.00022793253],"about_ca_topic_score_codex":0.000004854634,"about_ca_topic_score_gemma":0.00001526204,"teacher_disagreement_score":0.95902485,"about_ca_system_score_codex":0.000023478453,"about_ca_system_score_gemma":0.000104960105,"threshold_uncertainty_score":0.6407466},"labels":[],"label_agreement":null},{"id":"W2160823495","doi":"10.1111/cgf.12554","title":"Template Assembly for Detailed Urban Reconstruction","year":2015,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Template; Computer science; Point cloud; Texture synthesis; Preprocessor; Consistency (knowledge bases); Artificial intelligence; Set (abstract data type); Computer vision; Computer graphics (images); Structure from motion; Template matching; Matching (statistics); Point (geometry); Image (mathematics); Image texture; Motion (physics); Image processing; Geometry; Mathematics","score_opus":0.043456768778284714,"score_gpt":0.23131622806634086,"score_spread":0.18785945928805614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160823495","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":[0.9564993,0.00057186733,0.035656463,0.00055852975,0.003957206,0.00038146006,0.000094103016,0.00024906942,0.0020320055],"genre_scores_gemma":[0.9926022,0.000010118389,0.006442324,0.00033707096,0.0002538515,0.0000024834562,0.00015140722,0.0000046863597,0.00019584101],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990897,0.000055150056,0.00017622246,0.00022908168,0.0001399319,0.00030992206],"domain_scores_gemma":[0.9994408,0.000065922264,0.00006245853,0.0001468948,0.00010661301,0.00017731523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035747743,0.00012348898,0.00014601865,0.00006632174,0.00018658953,0.00009739563,0.00016749796,0.000084451305,0.000022300967],"category_scores_gemma":[0.000015361957,0.00009820459,0.00009502836,0.00019313747,0.00004187938,0.00024672126,0.00001010085,0.000100415375,0.00006668696],"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":[0.000046005305,0.00000911526,0.87736005,0.000013010183,0.000028195305,0.0000037763216,0.00013209182,0.00016645034,0.0000039855877,0.0008312581,0.03244768,0.0889584],"study_design_scores_gemma":[0.0024517362,0.0014482831,0.42161506,0.00009022256,0.00004959495,0.00024923173,0.00060303893,0.42344853,0.00017212793,0.023883697,0.12492719,0.0010612756],"about_ca_topic_score_codex":0.00011865571,"about_ca_topic_score_gemma":0.0014699718,"teacher_disagreement_score":0.45574495,"about_ca_system_score_codex":0.0000032043768,"about_ca_system_score_gemma":0.000030625823,"threshold_uncertainty_score":0.4004667},"labels":[],"label_agreement":null},{"id":"W2161396854","doi":"10.1111/j.1467-8659.2009.01358.x","title":"Color correction for tone mapping","year":2009,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":164,"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":"Luminance; Tone mapping; Artificial intelligence; Contrast (vision); Computer science; Computer vision; Tone (literature); Color balance; Color image; High dynamic range; Image (mathematics); Dynamic range; Image processing","score_opus":0.015544283052243977,"score_gpt":0.2726449650855383,"score_spread":0.25710068203329434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161396854","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":[0.0014465067,0.0000625877,0.99166334,0.0027650103,0.0021083404,0.0005194143,0.0000011480099,0.0009663432,0.00046729192],"genre_scores_gemma":[0.3951747,0.000029895322,0.5966234,0.0074467086,0.0002895677,0.00008098155,0.0000131369,0.000015944457,0.0003255992],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99869114,0.000025408497,0.00024765573,0.0004184059,0.00019130755,0.00042606975],"domain_scores_gemma":[0.9990964,0.000074644515,0.0001061798,0.0005006586,0.00015694177,0.00006515541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002722553,0.00016794118,0.00017559832,0.0002769472,0.00023210225,0.00020279239,0.0007638697,0.00008325848,0.0000015655068],"category_scores_gemma":[0.0000129157615,0.00017425779,0.00012788596,0.0005585633,0.000032981843,0.0005658955,0.00015717835,0.00012977864,0.000008738289],"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":[0.000011645383,0.00015757835,0.00018644326,0.0000151644235,0.000022659468,0.000007005775,0.00027063285,0.000027126565,0.002102637,0.48053437,0.16774125,0.34892347],"study_design_scores_gemma":[0.00050012063,0.0009678408,0.002135441,0.00006844392,0.000005941076,0.000026789374,0.000008391687,0.8442284,0.018560277,0.06004794,0.07303406,0.0004163651],"about_ca_topic_score_codex":0.0000031855054,"about_ca_topic_score_gemma":0.0000029950231,"teacher_disagreement_score":0.84420127,"about_ca_system_score_codex":0.00004076253,"about_ca_system_score_gemma":0.000027912218,"threshold_uncertainty_score":0.71060264},"labels":[],"label_agreement":null},{"id":"W2161421314","doi":"10.1111/j.1467-8659.2006.00955.x","title":"A Predictive Light Transport Model for the Human Iris","year":2006,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Biometric Identification and Security","field":"Computer Science","cited_by":36,"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":"Computer science; Rendering (computer graphics); Computer graphics; Predictability; Artificial intelligence; Graphics; Procedural modeling; Computer vision; Computer graphics (images)","score_opus":0.020559448173719297,"score_gpt":0.24411933764943292,"score_spread":0.22355988947571362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161421314","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":[0.0019250547,0.00021528063,0.9919573,0.004535404,0.0005271446,0.00043765933,0.000027686667,0.0001736268,0.00020082344],"genre_scores_gemma":[0.97649807,0.000012939247,0.021833321,0.00096552435,0.0001611435,0.00008233573,0.000027036132,0.000012555326,0.00040706375],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99861974,0.000022124677,0.0003004669,0.0004215253,0.0002973276,0.00033881515],"domain_scores_gemma":[0.99886566,0.0000892648,0.000102933256,0.0006885123,0.00019340425,0.000060209688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003416604,0.00015329095,0.00014577099,0.00031495545,0.0005718128,0.00017085731,0.0012561383,0.00009848144,0.0000015060602],"category_scores_gemma":[0.0000028322318,0.000115901996,0.00022574882,0.0010631158,0.00008848056,0.00021026368,0.00011336478,0.0001520402,0.000004448768],"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":[0.0000032975827,0.00013256431,0.001216014,0.0000124589205,0.00003185136,0.0000013544953,0.0003885108,0.00066278817,0.0000768415,0.95606476,0.039041717,0.002367843],"study_design_scores_gemma":[0.00029765253,0.0000435424,0.007673196,0.0000048506895,0.000014332201,0.0000032847056,0.000004607696,0.88820094,0.00012628248,0.06319454,0.040294718,0.0001420522],"about_ca_topic_score_codex":0.000049104743,"about_ca_topic_score_gemma":0.0000691963,"teacher_disagreement_score":0.974573,"about_ca_system_score_codex":0.000020516534,"about_ca_system_score_gemma":0.0000421387,"threshold_uncertainty_score":0.4726346},"labels":[],"label_agreement":null},{"id":"W2162909525","doi":"10.1111/j.1467-8659.2004.00795.x","title":"Hardware‐Accelerated Rendering of Photo Hulls","year":2004,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":30,"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 British Columbia","keywords":"Rendering (computer graphics); Computer science; Computer graphics (images); Visual hull; Graphics hardware; Hull; Computer graphics; Computer vision; Artificial intelligence; Frame rate; Graphics pipeline; Graphics; Slicing; Software rendering; Real-time rendering; 3D computer graphics; Iterative reconstruction","score_opus":0.025161420164568987,"score_gpt":0.2688578677464146,"score_spread":0.24369644758184564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162909525","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":[0.006930339,0.00016604536,0.990657,0.00071797543,0.0006662724,0.00012090375,0.000002047262,0.00025483628,0.00048458934],"genre_scores_gemma":[0.7172089,0.000054966444,0.28093174,0.0017036668,0.000048275746,0.0000052116793,0.0000037834163,0.000017670372,0.000025785599],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985597,0.000022385339,0.00033427207,0.00041150683,0.00027866528,0.00039344822],"domain_scores_gemma":[0.9989143,0.000033513195,0.00013641146,0.00064459146,0.00015398246,0.0001171855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013369642,0.00017865314,0.00023234988,0.00026277994,0.000143658,0.000108159744,0.0009262582,0.00005468631,0.0000058618834],"category_scores_gemma":[0.000009414309,0.00017361659,0.00012914308,0.00083504664,0.000074510855,0.00065402983,0.00051570684,0.00019397654,0.00001515708],"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":[0.00001542577,0.00029648445,0.0017597027,0.00007891484,0.00008271923,0.00008217182,0.0011552793,0.004671012,0.007897162,0.83287,0.0024928178,0.14859828],"study_design_scores_gemma":[0.0037611153,0.00057243765,0.0053412225,0.00055882894,0.000015218491,0.00014557486,0.00008231054,0.67547154,0.11587722,0.16559972,0.031343166,0.0012316386],"about_ca_topic_score_codex":0.000019045086,"about_ca_topic_score_gemma":0.000004847912,"teacher_disagreement_score":0.7102786,"about_ca_system_score_codex":0.00002674767,"about_ca_system_score_gemma":0.0000565868,"threshold_uncertainty_score":0.7079879},"labels":[],"label_agreement":null},{"id":"W2163965546","doi":"10.1111/j.1467-8659.2012.03125.x","title":"A Taxonomy of Visual Cluster Separation Factors","year":2012,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":159,"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; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Taxonomy (biology); Computer science; CLARITY; Artificial intelligence; Cluster (spacecraft); Coding (social sciences); Data mining; Pattern recognition (psychology); Statistics; Mathematics","score_opus":0.062713636670657,"score_gpt":0.30915848768621046,"score_spread":0.24644485101555347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163965546","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":[0.94233805,0.0000492428,0.056970887,0.00013545834,0.00020429285,0.000101201964,0.000013911428,0.000019746352,0.00016719686],"genre_scores_gemma":[0.9955586,0.0000039510433,0.003933055,0.00026101456,0.00017883889,0.000004565451,0.000037512214,4.7814996e-7,0.000021941734],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923235,0.00011804619,0.00019272247,0.000118392454,0.00011803127,0.00022043301],"domain_scores_gemma":[0.99938613,0.00035954273,0.000078335375,0.00003602977,0.000047717756,0.00009224236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020995157,0.000089348425,0.00016429389,0.000017815984,0.00008716886,0.000019354049,0.00009290404,0.000063400614,0.00009420591],"category_scores_gemma":[0.00001770392,0.000032459728,0.00012943568,0.00025612276,0.000050689927,0.00011076529,0.000047413057,0.00006550712,0.0000057255875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037836635,0.000517651,0.73753595,0.000014885626,0.000111571055,6.1925067e-7,0.00016903078,0.000017428518,0.009187347,0.10003128,0.0038360914,0.1485403],"study_design_scores_gemma":[0.00016156102,0.0005447224,0.90082425,0.000013519376,0.000056645695,0.0000029737234,0.00019342852,0.02301255,0.003925955,0.0027913842,0.06813916,0.00033386998],"about_ca_topic_score_codex":0.000029238188,"about_ca_topic_score_gemma":0.000029754578,"teacher_disagreement_score":0.16328827,"about_ca_system_score_codex":0.0000039612914,"about_ca_system_score_gemma":0.0000013748277,"threshold_uncertainty_score":0.13236693},"labels":[],"label_agreement":null},{"id":"W2164815214","doi":"10.1111/j.1467-8659.2009.01434.x","title":"Geometry Images of Arbitrary Genus in the Spherical Domain","year":2009,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":4,"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","keywords":"Rendering (computer graphics); Genus; Geometry; Parameterized complexity; Computer science; Boundary (topology); Mathematics; Topology (electrical circuits); Algorithm; Artificial intelligence; Combinatorics; Mathematical analysis","score_opus":0.012245824109156214,"score_gpt":0.26651755181010717,"score_spread":0.25427172770095097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164815214","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":[0.022763018,0.0003967201,0.9739477,0.0019666664,0.00022194034,0.00024597754,0.0000027884962,0.0001918017,0.00026337572],"genre_scores_gemma":[0.88761,0.00011702907,0.10658487,0.0055712103,0.000087283544,0.00000956281,0.0000059999143,0.000009890849,0.00000413931],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980212,0.00017354767,0.0005030966,0.00043740417,0.00045609887,0.00040866455],"domain_scores_gemma":[0.9985481,0.00020330756,0.00016445733,0.00091190776,0.000101442165,0.00007076844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006654318,0.00022223245,0.00029497995,0.0005158187,0.000112638765,0.00018629378,0.0021112238,0.000112224734,0.0000023412206],"category_scores_gemma":[0.000009436283,0.00017341693,0.00020956877,0.0025676757,0.00011531577,0.0003643542,0.00030731008,0.00032108132,0.0000018648973],"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":[0.0000033256101,0.00022806894,0.003191752,0.000009813667,0.000008934498,0.000029271392,0.00037461275,0.000007774132,0.000033517776,0.9664428,0.0033040142,0.026366083],"study_design_scores_gemma":[0.00072426593,0.0010975393,0.082357906,0.000099895515,0.000008075049,0.00008002798,0.00004813079,0.14442365,0.0015633254,0.75398964,0.014993039,0.00061450474],"about_ca_topic_score_codex":0.000016663653,"about_ca_topic_score_gemma":0.0000045152647,"teacher_disagreement_score":0.86736286,"about_ca_system_score_codex":0.000012021166,"about_ca_system_score_gemma":0.00004304618,"threshold_uncertainty_score":0.7071737},"labels":[],"label_agreement":null},{"id":"W2164932668","doi":"10.1111/j.1467-8659.2009.01599.x","title":"HCCMeshes: Hierarchical‐Culling oriented Compact Meshes","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Collision detection; Polygon mesh; Culling; Bounding volume; Parallel computing; Rendering (computer graphics); Tree traversal; Data structure; Computer graphics (images); Algorithm; Collision","score_opus":0.01335472109014055,"score_gpt":0.2727715594262816,"score_spread":0.25941683833614104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164932668","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":[0.020516003,0.00007657979,0.97270805,0.0016604599,0.0024655517,0.00034224187,0.0000069605207,0.0017140931,0.000510037],"genre_scores_gemma":[0.88621014,0.00008688883,0.1099373,0.0031895025,0.0004211649,0.000021003354,0.00003614257,0.0000544717,0.00004336527],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968154,0.000116566356,0.0006492133,0.00096735434,0.0006338985,0.0008176081],"domain_scores_gemma":[0.9971508,0.00025257395,0.00022965162,0.0015956284,0.00037096092,0.00040040925],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00061351666,0.00045910172,0.00044942525,0.00085271295,0.000554708,0.00068865524,0.0023484717,0.0002620536,0.00001941082],"category_scores_gemma":[0.00002877549,0.00043333689,0.00037012095,0.0019238294,0.00025641127,0.00076323946,0.0008381784,0.00097659,0.000024257615],"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":[0.0000038085016,0.00015104748,0.0058958316,0.00001635263,0.000041926636,0.000015591131,0.0002575992,0.000008146204,0.00020892844,0.9770338,0.0074326736,0.0089343125],"study_design_scores_gemma":[0.00048374778,0.00026622904,0.004135406,0.00005611357,0.000010928621,0.000072269526,0.0000074311547,0.7388479,0.0024622825,0.12611397,0.12683268,0.00071099657],"about_ca_topic_score_codex":0.00003959029,"about_ca_topic_score_gemma":0.000047907655,"teacher_disagreement_score":0.86569417,"about_ca_system_score_codex":0.000017528298,"about_ca_system_score_gemma":0.000105362895,"threshold_uncertainty_score":0.9998118},"labels":[],"label_agreement":null},{"id":"W2165405189","doi":"10.1111/cgf.12546","title":"Interactive Dimensioning of Parametric Models","year":2015,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Dimensioning; Dimension (graph theory); Computer science; Parametric statistics; Parametric model; Set (abstract data type); Parametric design; Line (geometry); Engineering drawing; Computer graphics (images); Human–computer interaction; Simulation; Programming language; Geometry; Engineering; Mathematics","score_opus":0.04585871019288204,"score_gpt":0.2952492301428793,"score_spread":0.24939051994999725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165405189","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":[0.0072238096,0.000237312,0.99057394,0.00018420549,0.00073627726,0.00019229887,0.0000021720498,0.00040716366,0.00044282965],"genre_scores_gemma":[0.8997073,0.000039839924,0.099590786,0.0005759757,0.000042310116,0.0000109056045,0.000005838164,0.000016177642,0.000010857497],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99813044,0.000105192,0.00047127597,0.00047746158,0.0004789834,0.00033662823],"domain_scores_gemma":[0.997946,0.0001656312,0.00027294588,0.00078177574,0.0006237154,0.0002098926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046152715,0.00022020587,0.0003259801,0.0010375509,0.00008750144,0.00015789298,0.0011681559,0.00010339996,8.2135267e-7],"category_scores_gemma":[0.000023526936,0.00021077109,0.00017506495,0.0022679304,0.00008690133,0.00093742803,0.0010650414,0.00021012852,0.000004466899],"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":[0.0000057308603,0.00010744752,0.0010760103,0.000008770226,0.000031737858,0.0000054399984,0.0004989629,0.0005128933,0.000004705282,0.9868847,0.0041532116,0.006710381],"study_design_scores_gemma":[0.00025281226,0.00026639353,0.00014880877,0.000042146057,0.0000044322665,0.000013560627,0.000011870165,0.7362392,0.0007778119,0.26092604,0.0011356384,0.00018126462],"about_ca_topic_score_codex":0.000035781875,"about_ca_topic_score_gemma":0.0000033191588,"teacher_disagreement_score":0.8924835,"about_ca_system_score_codex":0.000029036806,"about_ca_system_score_gemma":0.00009266992,"threshold_uncertainty_score":0.8594996},"labels":[],"label_agreement":null},{"id":"W2166693708","doi":"10.1111/j.1467-8659.2010.01736.x","title":"On the Effective Dimension of Light Transport","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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 Toronto","funders":"","keywords":"Rendering (computer graphics); Curse of dimensionality; Computer science; Dimension (graph theory); Computer graphics; Relevance (law); Dimensionality reduction; Manifold (fluid mechanics); Space (punctuation); Computer graphics (images); Theoretical computer science; Algorithm; Computer vision; Artificial intelligence; Mathematics; Pure mathematics","score_opus":0.007508530182788752,"score_gpt":0.243868077179899,"score_spread":0.23635954699711026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166693708","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":[0.1015683,0.00001982318,0.8946934,0.0016159188,0.0010735152,0.00044733827,0.0000026055625,0.00028592683,0.00029319286],"genre_scores_gemma":[0.9925859,0.000013538854,0.005657751,0.0016207508,0.00006293496,0.000032472162,0.0000034871246,0.00001566596,0.000007475335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984993,0.000080911945,0.0003261562,0.0004294606,0.0003821639,0.00028202013],"domain_scores_gemma":[0.9981127,0.0003505254,0.00016595349,0.001065956,0.0002201109,0.00008479513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005071618,0.00021864106,0.00023219397,0.00034095484,0.00022298582,0.000070224516,0.0013140021,0.00012723995,0.0000059728286],"category_scores_gemma":[0.000012098841,0.00014990047,0.00023236491,0.0009512261,0.000121953,0.00019421072,0.00027499156,0.0004331057,0.0000048975944],"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":[0.0000043633086,0.0001087441,0.0012894587,0.000008817056,0.00002198722,0.0000033628687,0.00022540313,0.0000026719513,0.0006814317,0.9904646,0.0023124153,0.0048767384],"study_design_scores_gemma":[0.00061095064,0.0012824513,0.021540536,0.00014444218,0.000019895377,0.000028971142,0.000006423766,0.32908082,0.078906104,0.54969937,0.018027855,0.0006522018],"about_ca_topic_score_codex":0.00001138291,"about_ca_topic_score_gemma":0.000019961879,"teacher_disagreement_score":0.8910176,"about_ca_system_score_codex":0.000005247303,"about_ca_system_score_gemma":0.000028594908,"threshold_uncertainty_score":0.6112764},"labels":[],"label_agreement":null},{"id":"W2166987050","doi":"10.1111/j.1467-8659.2011.01893.x","title":"Prior Knowledge for Part Correspondence","year":2011,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":96,"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":"Similarity (geometry); Pairwise comparison; Computer science; Artificial intelligence; Probabilistic logic; Set (abstract data type); Pattern recognition (psychology); Computation; Knowledge base; Face (sociological concept); Class (philosophy); Image (mathematics); Algorithm","score_opus":0.038194230935157766,"score_gpt":0.2303179519541582,"score_spread":0.19212372101900044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166987050","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":[0.019327903,0.00059963035,0.9774245,0.000023022603,0.0010702907,0.00011286478,0.000010542886,0.0003821615,0.0010490547],"genre_scores_gemma":[0.98986024,0.000068620415,0.009401336,0.00011737471,0.00019015837,0.000033595785,0.000011306903,0.000036845948,0.00028051285],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992766,0.000009505722,0.00017947788,0.00017689152,0.000065220345,0.00029232298],"domain_scores_gemma":[0.9995408,0.000045934274,0.000019273957,0.00024548327,0.00006998869,0.000078536745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012480757,0.00013529224,0.0001593089,0.0001549785,0.00009388286,0.00002430444,0.00022784618,0.00007376475,0.000020765438],"category_scores_gemma":[0.000004972119,0.00013268401,0.00016575538,0.00022390147,0.000029819397,0.00007252243,0.000042289863,0.000102483085,0.000048570622],"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":[0.0001529388,0.0007015858,0.015785072,0.00094291905,0.0014955486,0.000038453632,0.009403121,0.02778069,0.00031129195,0.16382587,0.4026433,0.3769192],"study_design_scores_gemma":[0.0001865488,0.000050243336,0.00023671953,0.000036417827,0.00003231094,0.0000024317503,0.00001356736,0.9728665,0.00030590955,0.003439971,0.022629356,0.00020007552],"about_ca_topic_score_codex":0.0000027281812,"about_ca_topic_score_gemma":0.000020003734,"teacher_disagreement_score":0.97053236,"about_ca_system_score_codex":0.000009929433,"about_ca_system_score_gemma":0.000011239604,"threshold_uncertainty_score":0.54106975},"labels":[],"label_agreement":null},{"id":"W2169574389","doi":"10.1111/j.1467-8659.2008.01279.x","title":"Surface sampling and the intrinsic Voronoi diagram","year":2008,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Voronoi diagram; Convexity; Sampling (signal processing); Surface (topology); Euclidean geometry; Adaptive sampling; Feature (linguistics); RADIUS; Mathematics; Computer science; Algorithm; Geometry; Computer vision; Statistics","score_opus":0.01768392549105713,"score_gpt":0.20364447939491523,"score_spread":0.1859605539038581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169574389","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":[0.4040968,0.0016438509,0.5934164,0.0002930002,0.00020414291,0.000055455443,0.0000016755852,0.00019889667,0.0000897725],"genre_scores_gemma":[0.9960259,0.0012229902,0.002397939,0.00021444858,0.00009525712,0.0000027853946,0.00000453579,0.000019607454,0.000016530206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935055,0.000020763862,0.00015676273,0.00014341575,0.000101456935,0.00022704672],"domain_scores_gemma":[0.99957836,0.000102591235,0.000017377299,0.00021933162,0.000027869015,0.000054499895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001384821,0.00012820069,0.00018423844,0.000061398525,0.00021409558,0.00004210069,0.00014228975,0.000052156865,0.000001983338],"category_scores_gemma":[0.000004575401,0.00009369261,0.00010425139,0.0002189653,0.00013165508,0.00005722662,0.00006906882,0.00019105813,0.000007103161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024730087,0.00004706398,0.044601213,0.00009043824,0.0006011483,0.00002354335,0.0021144387,0.82340235,0.000030476152,0.04276891,0.0043161847,0.08197948],"study_design_scores_gemma":[0.00038411532,0.000008694185,0.00219257,0.000011712032,0.00002207214,0.00001636497,0.000010746502,0.9940609,0.000015356723,0.0019988136,0.0011436059,0.00013504791],"about_ca_topic_score_codex":0.00003194157,"about_ca_topic_score_gemma":0.000025219018,"teacher_disagreement_score":0.5919291,"about_ca_system_score_codex":0.000007244633,"about_ca_system_score_gemma":0.000005088104,"threshold_uncertainty_score":0.38206735},"labels":[],"label_agreement":null},{"id":"W2171240564","doi":"10.1111/j.1467-8659.2009.01439.x","title":"DocuBurst: Visualizing Document Content using Language Structure","year":2009,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","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":"University of Calgary; University of Toronto","funders":"","keywords":"Computer science; Zoom; Visualization; Focus (optics); Information retrieval; Granularity; Natural language processing; Space (punctuation); Word (group theory); Information visualization; Artificial intelligence; Programming language; Linguistics","score_opus":0.030859509247845578,"score_gpt":0.31202998401733023,"score_spread":0.28117047476948465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171240564","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":[0.02269915,0.00027741014,0.9749322,0.0010378326,0.00059972523,0.00013750562,0.000010568508,0.0002500217,0.000055588112],"genre_scores_gemma":[0.93896186,0.000028551984,0.05240019,0.00835126,0.00017199572,7.313437e-7,0.000045844357,0.000013227383,0.000026340746],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830174,0.000061226376,0.00033893553,0.00045362895,0.00039338224,0.0004510666],"domain_scores_gemma":[0.99890786,0.00002709087,0.00014698383,0.00063995743,0.00011287894,0.00016523247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015943307,0.00023002557,0.00023278681,0.00028236932,0.00020309466,0.0005643686,0.00097286224,0.000085005784,0.000012087528],"category_scores_gemma":[0.00000897233,0.00020974218,0.00012739438,0.000715036,0.000042160842,0.0007018519,0.00031707287,0.00017019997,0.000008118408],"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":[0.000002649534,0.00006129029,0.0005798537,0.0000136224135,0.000034426066,0.00004402236,0.0008009692,0.00033116722,0.0010355904,0.97078705,0.0013341684,0.024975168],"study_design_scores_gemma":[0.00069555483,0.00021270679,0.0010966744,0.000084848056,0.000021803222,0.00006796539,0.00014017108,0.9611434,0.0022933509,0.028023789,0.0056872093,0.0005325315],"about_ca_topic_score_codex":0.000021840016,"about_ca_topic_score_gemma":0.000009551092,"teacher_disagreement_score":0.9608122,"about_ca_system_score_codex":0.00004182333,"about_ca_system_score_gemma":0.000040583855,"threshold_uncertainty_score":0.85530376},"labels":[],"label_agreement":null},{"id":"W2171411626","doi":"10.1111/j.1467-8659.2009.01494.x","title":"Single Photo Estimation of Hair Appearance","year":2009,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","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":"University of British Columbia","funders":"","keywords":"Computer science; Rendering (computer graphics); Artificial intelligence; Computer vision; Subspace topology; Luminance; Pattern recognition (psychology); Computer graphics (images)","score_opus":0.012665259832925463,"score_gpt":0.25587758465458793,"score_spread":0.24321232482166247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171411626","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":[0.0030896429,0.00024180983,0.9943357,0.0012118653,0.00035324445,0.00010736347,6.916994e-7,0.0001927215,0.00046696956],"genre_scores_gemma":[0.7235395,0.000010654804,0.27451798,0.0018883144,0.000022630073,0.0000012133528,0.0000013677237,0.000004658042,0.000013686948],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892217,0.000023361434,0.00025676057,0.00029745678,0.00023269736,0.00026752905],"domain_scores_gemma":[0.9991905,0.000024948866,0.00012704119,0.0005080777,0.0000780357,0.000071386734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011375821,0.00012835447,0.000169687,0.0001845423,0.00009776928,0.00007336064,0.0006237842,0.000039297985,0.0000015165976],"category_scores_gemma":[0.000009598166,0.00012548258,0.00009286252,0.000589392,0.000052042575,0.0006627326,0.00013277974,0.00011320853,0.0000088185125],"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":[0.0000047121325,0.00014169439,0.00015555731,0.0000136928165,0.000005642939,0.0000051296265,0.00017439705,0.0018829149,0.0012230542,0.2114126,0.00130022,0.7836804],"study_design_scores_gemma":[0.00025930404,0.00020884606,0.0018092146,0.00009160401,0.0000016271093,0.000012445148,0.0000032794546,0.93818873,0.0059454776,0.050693717,0.0026364026,0.00014935773],"about_ca_topic_score_codex":0.000002140264,"about_ca_topic_score_gemma":6.1905325e-7,"teacher_disagreement_score":0.9363058,"about_ca_system_score_codex":0.000012824481,"about_ca_system_score_gemma":0.000016787564,"threshold_uncertainty_score":0.5117031},"labels":[],"label_agreement":null},{"id":"W2171467016","doi":"10.1111/j.1467-8659.2004.00777.x","title":"Procedural Texture Matching and Transformation","year":2004,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"McGill University","funders":"","keywords":"Shader; Computer science; Texture filtering; Texture (cosmology); Similarity (geometry); Transformation (genetics); Texture synthesis; Artificial intelligence; Computer graphics; Texture mapping; Texture compression; Texture memory; Computer vision; Bidirectional texture function; Computer graphics (images); Texture atlas; Process (computing); Graphics; Image texture; 3D computer graphics; Image (mathematics); Image processing; Software rendering","score_opus":0.010310891409951407,"score_gpt":0.25284526074202684,"score_spread":0.24253436933207545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171467016","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":[0.01622439,0.00013824235,0.97933716,0.0029536607,0.00028154816,0.00025999296,0.0000018968234,0.00069398416,0.00010913175],"genre_scores_gemma":[0.95062286,0.00011501653,0.04588587,0.003262347,0.00006900892,0.000016562326,0.000009789804,0.000014884427,0.0000036822519],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99870217,0.000025919571,0.00029675668,0.00039428443,0.00025679154,0.00032407275],"domain_scores_gemma":[0.9992989,0.000023974755,0.000089997855,0.00035438882,0.00010955033,0.00012323083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019092273,0.00021178066,0.00017739943,0.00036777163,0.0002963567,0.0004389853,0.0005979909,0.00010965607,7.426917e-7],"category_scores_gemma":[0.0000021130327,0.0001987836,0.00009329362,0.00069597596,0.00006306335,0.0010156055,0.00026369272,0.00020929865,0.0000028904778],"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":[0.0000013914236,0.000035237586,0.00016020649,0.000030775136,0.000010781257,0.0000034795646,0.0013126319,0.0000360509,0.00001996104,0.9840184,0.00019737027,0.014173745],"study_design_scores_gemma":[0.0006441196,0.00022461462,0.002103544,0.00010408355,0.000006108612,0.00012858764,0.000025171972,0.1640444,0.0007748582,0.8271559,0.0043834825,0.00040515998],"about_ca_topic_score_codex":0.000023150675,"about_ca_topic_score_gemma":0.000019813504,"teacher_disagreement_score":0.9343985,"about_ca_system_score_codex":0.000019490784,"about_ca_system_score_gemma":0.000046825273,"threshold_uncertainty_score":0.81061596},"labels":[],"label_agreement":null},{"id":"W2171615968","doi":"10.1111/j.1467-8659.2009.01691.x","title":"ProbExplorer: Uncertainty‐guided Exploration and Editing of Probabilistic Medical Image Segmentation","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Simon Fraser University","funders":"","keywords":"Computer science; Probabilistic logic; Segmentation; Visualization; Rendering (computer graphics); Artificial intelligence; Image segmentation; Context (archaeology); Medical imaging; Data mining; Computer vision; Machine learning","score_opus":0.021204806725352784,"score_gpt":0.29467079860839956,"score_spread":0.27346599188304677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171615968","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":[0.028004065,0.000023230928,0.9686865,0.0016353703,0.00081082317,0.0004362747,0.0000031317566,0.0003549065,0.000045667217],"genre_scores_gemma":[0.83416814,0.000109773864,0.16455597,0.0006889238,0.00030867982,0.00009258768,0.000045757333,0.000026463635,0.0000037311306],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99791414,0.00008751681,0.0005846538,0.000507193,0.0006143393,0.00029215994],"domain_scores_gemma":[0.9984284,0.00014304748,0.00028062495,0.00052168395,0.00044943744,0.00017681821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007790472,0.00021388722,0.0002541584,0.00040886682,0.00018673873,0.00024111697,0.00073448016,0.00016008092,0.000006649087],"category_scores_gemma":[0.00009124018,0.00020273944,0.000091015194,0.0007491151,0.0002411484,0.0009957048,0.0005853586,0.00032066123,0.0000012943595],"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":[0.0000021601263,0.00009440209,0.0011853247,0.000073269424,0.000015871958,0.0000044277213,0.00064235186,0.000013039155,0.00059061445,0.96909946,0.0014368603,0.026842225],"study_design_scores_gemma":[0.00036341752,0.00019071688,0.00041723362,0.00007332638,0.000007109562,0.00003164856,0.000022165248,0.8247594,0.0032540418,0.17001566,0.00064929266,0.00021595869],"about_ca_topic_score_codex":0.000027037071,"about_ca_topic_score_gemma":0.00006549063,"teacher_disagreement_score":0.8247464,"about_ca_system_score_codex":0.000009907736,"about_ca_system_score_gemma":0.0000916186,"threshold_uncertainty_score":0.8267474},"labels":[],"label_agreement":null},{"id":"W2173758409","doi":"10.1111/j.1467-8659.2011.01884.x","title":"A Survey on Shape Correspondence","year":2011,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Medical Image Segmentation Techniques","field":"Computer Science","cited_by":614,"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":"Correspondence problem; Computer science; Representation (politics); Shape analysis (program analysis); Point (geometry); Polygon mesh; Correspondence analysis; Pipeline (software); Space (punctuation); Artificial intelligence; Algorithm; Mathematics; Machine learning; Geometry; Computer graphics (images); Static analysis","score_opus":0.06157752961123418,"score_gpt":0.28457563562308863,"score_spread":0.22299810601185444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2173758409","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":[0.0026190833,0.00003016508,0.9948854,0.000153791,0.0008257257,0.00018861951,0.000005237823,0.00057642045,0.0007155789],"genre_scores_gemma":[0.5362929,0.000053669723,0.44370613,0.019484228,0.00009949671,0.000048198322,0.000024870287,0.000037363796,0.00025314162],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9981772,0.00020548173,0.00028175514,0.0004987189,0.0004524574,0.00038441207],"domain_scores_gemma":[0.99848694,0.00024135436,0.00010886444,0.0008136074,0.00014916435,0.00020006046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067673455,0.00018278246,0.00017343758,0.00030048107,0.00012091664,0.000114651746,0.0016546028,0.00008950648,0.00009717391],"category_scores_gemma":[0.00006164827,0.00016675108,0.00008413454,0.0007429147,0.0001340445,0.00041330094,0.00048647905,0.00025643452,0.00018489211],"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":[0.000060056715,0.0005635655,0.0307549,0.000019885625,0.000054886317,0.00017825355,0.0014671608,0.0000014392166,0.00012143271,0.3114369,0.16871278,0.48662877],"study_design_scores_gemma":[0.0009749166,0.0020984006,0.5498194,0.00016627723,0.000009228196,0.000041469262,0.000014237836,0.38604566,0.018574588,0.038753074,0.0023681887,0.0011345694],"about_ca_topic_score_codex":0.00008063948,"about_ca_topic_score_gemma":0.000025967036,"teacher_disagreement_score":0.55117923,"about_ca_system_score_codex":0.00001864518,"about_ca_system_score_gemma":0.000050029692,"threshold_uncertainty_score":0.6799912},"labels":[],"label_agreement":null},{"id":"W2211252052","doi":"10.1111/j.1467-8659.2010.01655.x","title":"Spectral Mesh Processing","year":2010,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":211,"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":"Geometry processing; Computer science; Laplacian smoothing; Smoothing; Eigenvalues and eigenvectors; Theoretical computer science; Curse of dimensionality; Computer graphics; Laplace operator; Graphics; Graph; Polygon mesh; Algorithm; Mesh generation; Artificial intelligence; Computer graphics (images); Mathematics; Computer vision; Finite element method","score_opus":0.010684261856116324,"score_gpt":0.23978864279892365,"score_spread":0.22910438094280733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2211252052","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":[0.038859166,0.000058356967,0.9561173,0.0018795043,0.001975595,0.0001099061,9.923637e-7,0.00028347364,0.0007157267],"genre_scores_gemma":[0.8294553,0.0000045133525,0.168616,0.0013304197,0.0004913768,0.0000075193316,0.000009995137,0.000009182602,0.000075685275],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99873585,0.000023669578,0.00021070045,0.00040061199,0.0002925449,0.00033663088],"domain_scores_gemma":[0.9992105,0.000045451492,0.00007836851,0.00038855826,0.00015163753,0.00012553502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002292613,0.0001509963,0.00012379511,0.0002635019,0.00028460604,0.0003685196,0.0007279096,0.00008298886,0.00001029034],"category_scores_gemma":[0.000009452223,0.00014739852,0.00009569918,0.00081852963,0.000054141507,0.0006475966,0.00024109514,0.00032663357,0.00003301479],"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":[0.0000018343083,0.000058432895,0.0008472834,0.000008836732,0.000008959417,0.000008622832,0.0001289619,0.0002786344,0.00095774996,0.8548966,0.0035530305,0.13925102],"study_design_scores_gemma":[0.00025797327,0.00007987382,0.007059438,0.00000917304,0.0000039373704,0.000087318986,0.0000027529518,0.896167,0.0018225062,0.06525252,0.028988477,0.0002690753],"about_ca_topic_score_codex":0.0000033705346,"about_ca_topic_score_gemma":0.000025891992,"teacher_disagreement_score":0.8958883,"about_ca_system_score_codex":0.000008012468,"about_ca_system_score_gemma":0.00009454196,"threshold_uncertainty_score":0.6010737},"labels":[],"label_agreement":null},{"id":"W2291589275","doi":"10.1111/cgf.12809","title":"S<scp>mart</scp>C<scp>anvas</scp>: Context‐inferred Interpretation of Sketches for Preparatory Design Studies","year":2016,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Sketch; Computer science; Context (archaeology); Abstraction; Object (grammar); Human–computer interaction; Process (computing); Interpretation (philosophy); Set (abstract data type); Engineering drawing; Computer graphics (images); Programming language; Artificial intelligence; Engineering; Algorithm","score_opus":0.051217128148274026,"score_gpt":0.25985669945064804,"score_spread":0.208639571302374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2291589275","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":[0.7938731,0.006838464,0.19565144,0.00014760328,0.0017682025,0.0008348148,0.00022552874,0.00019695978,0.00046393168],"genre_scores_gemma":[0.9961156,0.00027788448,0.0025522034,0.0003392887,0.000119443204,0.000016279315,0.00005482675,0.000011222869,0.00051323354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981079,0.00023364986,0.00046246022,0.00042414095,0.00026659088,0.0005052412],"domain_scores_gemma":[0.9951509,0.003865859,0.00024848877,0.00028917656,0.00031101072,0.00013454007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007938589,0.00028018805,0.00043916915,0.00014030866,0.00022952369,0.00006274305,0.00036472915,0.00014178094,0.000007288573],"category_scores_gemma":[0.00045273922,0.000182843,0.0002346646,0.00024097567,0.00029179282,0.00042243765,0.000042556898,0.00010601012,0.000038568232],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009179486,0.00012851918,0.6309734,0.00038214363,0.0009251364,0.00001219502,0.010921819,0.00077414385,0.0005009117,0.0028006826,0.16635415,0.18613511],"study_design_scores_gemma":[0.006325273,0.006994977,0.6058457,0.0019560277,0.0003743091,0.00005775966,0.012032464,0.1777336,0.012527883,0.06731954,0.10804367,0.0007887972],"about_ca_topic_score_codex":0.0000386508,"about_ca_topic_score_gemma":0.0006974531,"teacher_disagreement_score":0.20224257,"about_ca_system_score_codex":0.000007670339,"about_ca_system_score_gemma":0.00005596889,"threshold_uncertainty_score":0.7456121},"labels":[],"label_agreement":null},{"id":"W2339234205","doi":"10.1111/cgf.12865","title":"3D Skeletons: A State‐of‐the‐Art Report","year":2016,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":252,"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":"Horizon 2020 Framework Programme","keywords":"Skeletonization; Computer science; Shape analysis (program analysis); Topological skeleton; Skeleton (computer programming); Geometry processing; Artificial intelligence; Computer graphics (images); Polygon mesh; Active shape model; Segmentation","score_opus":0.006623513062540074,"score_gpt":0.1927523366393979,"score_spread":0.1861288235768578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339234205","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":[0.08090193,0.00017083834,0.9169788,0.00072653784,0.0005655953,0.000060280658,0.000010131147,0.00020925012,0.00037665284],"genre_scores_gemma":[0.99727446,0.000076148404,0.0019424639,0.00011650249,0.0000578101,0.000005062109,0.0000027167118,0.000023907936,0.0005009495],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991771,0.000013072921,0.00027688558,0.00014848323,0.00016041263,0.00022405335],"domain_scores_gemma":[0.9993465,0.00003520709,0.000048027687,0.00046238967,0.000059415623,0.00004848329],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012276019,0.00011379786,0.00016044237,0.00010988697,0.00005145354,0.000013418792,0.00022060743,0.000040472838,0.000007425545],"category_scores_gemma":[0.000008563142,0.000069347836,0.00019256955,0.00028937828,0.000054632266,0.00005896917,0.000074377574,0.00008635258,0.000020281703],"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":[0.00001650853,0.00024455518,0.09863161,0.00037512282,0.0018325999,0.00023829602,0.00064456376,0.14213957,0.004311052,0.012166471,0.27293128,0.46646836],"study_design_scores_gemma":[0.00047071656,0.00004968145,0.0031426419,0.0003246125,0.00007572423,0.00008586389,0.0000048451197,0.8936796,0.0023934338,0.012980265,0.08630168,0.0004909402],"about_ca_topic_score_codex":0.000004801441,"about_ca_topic_score_gemma":0.000029097737,"teacher_disagreement_score":0.9163725,"about_ca_system_score_codex":0.000012907422,"about_ca_system_score_gemma":0.000013465678,"threshold_uncertainty_score":0.28279227},"labels":[],"label_agreement":null},{"id":"W2366389387","doi":"10.1111/cgf.12802","title":"A Survey of Surface Reconstruction from Point Clouds","year":2016,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":488,"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":"European Research Council; Gordon and Betty Moore Foundation; Alfred P. Sloan Foundation; National Science Foundation","keywords":"Surface reconstruction; Point cloud; Computer science; Surface (topology); Representation (politics); 3D reconstruction; Field (mathematics); Prior probability; Artificial intelligence; Iterative reconstruction; Computer vision; Categorization; Point (geometry); Mathematics; Geometry; Bayesian probability","score_opus":0.015719527204519163,"score_gpt":0.20295388271782672,"score_spread":0.18723435551330755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2366389387","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":[0.5188045,0.00015777808,0.48044124,0.000056784083,0.00035140722,0.000018012382,0.00004906724,0.0000911974,0.00003002436],"genre_scores_gemma":[0.9971022,0.0001342794,0.0026572149,0.00002141392,0.000042343374,6.327912e-7,0.000015201126,0.000017279324,0.000009415828],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993289,0.000036069625,0.00022972625,0.00014678639,0.00009611664,0.00016241761],"domain_scores_gemma":[0.9994762,0.00011018696,0.000037731177,0.00024334202,0.00008517163,0.00004737051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017733285,0.00010470225,0.0001924748,0.00007645826,0.000027287322,0.000012193101,0.00012594307,0.00007246756,0.000019542429],"category_scores_gemma":[0.000007849476,0.00008055874,0.00009803125,0.00022606824,0.000039298426,0.00007340881,0.000033227538,0.0000674429,0.000012290027],"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":[0.000034870354,0.0000813413,0.59907997,0.00006983512,0.0011125345,0.0000058760984,0.00028832746,0.07626636,0.0073350444,0.0022729512,0.009375505,0.30407736],"study_design_scores_gemma":[0.00028998085,0.000025144316,0.03055296,0.00009631334,0.00002146599,0.0000020147481,0.000005555104,0.9633275,0.0017735694,0.0036426124,0.000078553865,0.0001842821],"about_ca_topic_score_codex":0.0003025841,"about_ca_topic_score_gemma":0.00024231577,"teacher_disagreement_score":0.8870612,"about_ca_system_score_codex":0.000013046869,"about_ca_system_score_gemma":0.000008491364,"threshold_uncertainty_score":0.328509},"labels":[],"label_agreement":null},{"id":"W2393302563","doi":"10.1111/cgf.12804","title":"A Descriptive Framework for Temporal Data Visualizations Based on Generalized Space‐Time Cubes","year":2016,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":171,"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":"Agence Nationale de la Recherche; Science Foundation Ireland","keywords":"Data cube; Cube (algebra); Computer science; Parameterized complexity; Visualization; Online analytical processing; Theoretical computer science; Space (punctuation); Data mining; Algorithm; Mathematics; Geometry","score_opus":0.05749521673658341,"score_gpt":0.3254449557592869,"score_spread":0.26794973902270347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2393302563","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":[0.00013069599,0.000023309225,0.9907055,0.0072476133,0.00065253675,0.00037129948,0.00046483,0.00036157755,0.000042620664],"genre_scores_gemma":[0.085111864,0.0000506589,0.89994854,0.012618202,0.00045775858,0.00005929326,0.0012259209,0.00008218092,0.00044558637],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977592,0.00012406072,0.00037613252,0.0008553369,0.00039364985,0.0004915973],"domain_scores_gemma":[0.99682176,0.0004759716,0.00018580575,0.0020625119,0.00025618818,0.00019775386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004020795,0.00028169854,0.0002943511,0.00040849205,0.00032546022,0.0003995348,0.0023527802,0.00014461769,0.000025425363],"category_scores_gemma":[0.00017683259,0.00021044926,0.00014147538,0.0009204228,0.00012260051,0.00082361506,0.0007621731,0.00009898705,0.00006299993],"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":[0.000013155355,0.00015656567,0.0013376042,0.00001050227,0.000037227448,0.000002894162,0.00005027211,0.00010020574,0.0000180861,0.9329494,0.06203891,0.0032851507],"study_design_scores_gemma":[0.0008171258,0.00021419318,0.00012336425,0.00013913804,0.000016997928,0.0000016624239,0.0000043634577,0.8770877,0.00015383022,0.056504272,0.06461872,0.000318642],"about_ca_topic_score_codex":0.000007042384,"about_ca_topic_score_gemma":0.000009976262,"teacher_disagreement_score":0.87698746,"about_ca_system_score_codex":0.000035620786,"about_ca_system_score_gemma":0.00014751329,"threshold_uncertainty_score":0.85818714},"labels":[],"label_agreement":null},{"id":"W2406758754","doi":"10.1111/cgf.12826","title":"A Practical Method for High‐Resolution Embedded Liquid Surfaces","year":2016,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Computer science; Interpolation (computer graphics); Grid; Scalability; Set (abstract data type); Visualization; Surface (topology); Resolution (logic); Scaling; Algorithm; Boundary (topology); Tracking (education); Computer vision; Computational science; Artificial intelligence; Image (mathematics); Mathematics; Geometry","score_opus":0.034821944822296266,"score_gpt":0.34727909018200004,"score_spread":0.31245714535970376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2406758754","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":[0.000830212,0.000057801655,0.98809355,0.008280608,0.0010917777,0.0005849391,0.00001851096,0.0010142438,0.000028323686],"genre_scores_gemma":[0.16172609,0.00010208541,0.8358194,0.001913977,0.00022727913,0.000114991315,0.000012362818,0.000036282643,0.00004749981],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972562,0.00022260901,0.0005385736,0.00088710577,0.00042083728,0.0006746335],"domain_scores_gemma":[0.99718297,0.00087303057,0.00026424506,0.0009758673,0.0004956046,0.00020829815],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009971559,0.00033026727,0.00036814137,0.0004962902,0.00033170573,0.000304421,0.001098663,0.00021796879,0.0000062489535],"category_scores_gemma":[0.000066463406,0.00024834764,0.00026899474,0.0008506698,0.00010484517,0.00094593066,0.00073763053,0.0001486291,0.000010190656],"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":[0.000032123477,0.00010958937,0.00007754495,0.00001754818,0.000045572433,0.0000042561746,0.000070824426,0.000004868275,0.0002926295,0.9655327,0.02221206,0.011600242],"study_design_scores_gemma":[0.0009933448,0.0014021539,0.000273084,0.00009458427,0.000019434681,0.000044712466,0.0000042160514,0.72099197,0.009169193,0.232385,0.034045562,0.0005767607],"about_ca_topic_score_codex":0.000018522773,"about_ca_topic_score_gemma":0.000015733154,"teacher_disagreement_score":0.73314774,"about_ca_system_score_codex":0.000041022002,"about_ca_system_score_gemma":0.00012073705,"threshold_uncertainty_score":0.9999969},"labels":[],"label_agreement":null},{"id":"W2414646049","doi":"10.1111/cgf.12936","title":"Formalizing Emphasis in Information Visualization","year":2016,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","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":"University of Saskatchewan; University of Calgary","funders":"","keywords":"Emphasis (telecommunications); Computer science; Visualization; Set (abstract data type); Information visualization; Point (geometry); Data science; Human–computer interaction; Artificial intelligence; Programming language; Mathematics","score_opus":0.014101237655204853,"score_gpt":0.268268665144024,"score_spread":0.2541674274888191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2414646049","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":[0.0019152294,0.000015981335,0.99593604,0.0011580295,0.00038244348,0.000104291605,0.0000063884304,0.00019267587,0.000288929],"genre_scores_gemma":[0.97963613,0.00018229078,0.014547975,0.0054228343,0.00007180049,0.000013542136,0.00006732065,0.000013748033,0.000044330383],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877995,0.000045899174,0.00039824366,0.00019820647,0.00026987802,0.00030783121],"domain_scores_gemma":[0.9992192,0.000053077783,0.0001314481,0.00039355175,0.00012483462,0.00007788584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028663245,0.00012914908,0.0001288455,0.00061245565,0.00009493381,0.0002509851,0.0006272205,0.0000709672,0.000007299682],"category_scores_gemma":[0.000028659882,0.000099106954,0.000058985028,0.0010762085,0.000033185042,0.0039829044,0.00031765376,0.00004869811,0.000068476904],"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":[0.0000016280263,0.000027868358,0.0092948405,0.000009687793,0.0000057134266,0.0000016135169,0.00021628245,0.000020605296,0.0000111510835,0.90912557,0.0032334267,0.078051634],"study_design_scores_gemma":[0.0012329554,0.00010350337,0.0073823296,0.00013970141,0.000004059431,0.000013147222,0.000027610886,0.83590335,0.0004871339,0.01849438,0.13582174,0.0003900771],"about_ca_topic_score_codex":0.000009031487,"about_ca_topic_score_gemma":0.000021777645,"teacher_disagreement_score":0.98138803,"about_ca_system_score_codex":0.00003807763,"about_ca_system_score_gemma":0.000038601334,"threshold_uncertainty_score":0.40414643},"labels":[],"label_agreement":null},{"id":"W2464003720","doi":"10.1111/cgf.12887","title":"Comparing Bar Chart Authoring with Microsoft Excel and Tangible Tiles","year":2016,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":31,"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; Alberta Innovates - Technology Futures","keywords":"Visualization; Computer science; Bar chart; Pipeline (software); Pie chart; Software; Human–computer interaction; Chart; Software visualization; Information visualization; Task (project management); Data science; Computer graphics (images); Software development; Data mining; Programming language; Component-based software engineering","score_opus":0.023054215843797,"score_gpt":0.25007970041044075,"score_spread":0.22702548456664376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2464003720","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":[0.018848922,0.00009528748,0.9787353,0.0015816605,0.00023128968,0.00008187319,0.000005770614,0.00022443093,0.00019542914],"genre_scores_gemma":[0.9697294,0.00010067905,0.028762033,0.0010601513,0.00009568559,0.0000048504025,0.000007715629,0.000020537242,0.00021890408],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99876755,0.000027551188,0.00019741307,0.0004322414,0.00020993003,0.00036531835],"domain_scores_gemma":[0.99914145,0.000063176216,0.000081451064,0.00047421642,0.000084991145,0.00015471129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017098177,0.00017497246,0.0001962991,0.00019760942,0.00021262275,0.00031959784,0.0005970446,0.000049498623,0.0000047354147],"category_scores_gemma":[0.0000053861254,0.00011837303,0.00004289905,0.0003616362,0.0001153791,0.00063279073,0.0005530424,0.000077945435,0.000024247074],"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":[0.000005523186,0.000059377006,0.08796993,0.000034792465,0.000051382372,0.000018583834,0.00024509712,0.000013824721,0.0005152241,0.88908094,0.008080215,0.0139251],"study_design_scores_gemma":[0.002991642,0.00049960555,0.04038618,0.0008086363,0.000042170577,0.0001950883,0.000061806975,0.78065777,0.0040508034,0.015235371,0.15360685,0.001464092],"about_ca_topic_score_codex":0.000004997081,"about_ca_topic_score_gemma":0.000013604863,"teacher_disagreement_score":0.9508805,"about_ca_system_score_codex":0.00001269782,"about_ca_system_score_gemma":0.000027685839,"threshold_uncertainty_score":0.4827112},"labels":[],"label_agreement":null},{"id":"W2468977341","doi":"10.1111/cgf.12909","title":"PhysioEx: Visual Analysis of Physiological Event Streams","year":2016,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","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; Ontario Tech University; Hospital for Sick Children","funders":"","keywords":"Computer science; Workflow; Data stream mining; Visualization; STREAMS; Dashboard; Event (particle physics); Data mining; Data visualization; Field (mathematics); Domain (mathematical analysis); Real-time computing; Artificial intelligence; Data science; Database","score_opus":0.01999936097246021,"score_gpt":0.30075985366494323,"score_spread":0.28076049269248304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2468977341","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":[0.037240263,0.000021093334,0.9617674,0.00054106617,0.00019709636,0.00005909416,0.00002800097,0.00011003346,0.000035997084],"genre_scores_gemma":[0.9950868,0.00006140463,0.003840321,0.0008653528,0.000050470313,0.0000029498613,0.000037553655,0.0000067396118,0.0000483983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846935,0.00007649577,0.0003689717,0.0004392361,0.00034333626,0.00030262803],"domain_scores_gemma":[0.99879706,0.00010029482,0.00019206165,0.00063811627,0.00015753484,0.0001149302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015829859,0.00016623782,0.00036333533,0.0004873915,0.00007540448,0.000056950943,0.00094911386,0.000070114795,0.000026143614],"category_scores_gemma":[0.000014482947,0.00010577855,0.00036294106,0.002134526,0.00012002073,0.00032263546,0.0005872986,0.000058532634,0.000018981087],"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":[0.0000059445942,0.00052488205,0.008829121,0.0000132255245,0.000868401,0.0000059156573,0.00008199349,0.00034877154,0.001800447,0.9144181,0.0071246596,0.065978505],"study_design_scores_gemma":[0.0003954043,0.000291239,0.030304106,0.00003488584,0.00013420152,0.0000010304932,0.000007820368,0.95670766,0.0011980992,0.007577136,0.0030729629,0.0002754801],"about_ca_topic_score_codex":0.000008179456,"about_ca_topic_score_gemma":0.0000068607746,"teacher_disagreement_score":0.95792705,"about_ca_system_score_codex":0.000014415437,"about_ca_system_score_gemma":0.000028745528,"threshold_uncertainty_score":0.4313524},"labels":[],"label_agreement":null},{"id":"W2470422954","doi":"10.1111/cgf.12919","title":"ConToVi: Multi‐Party Conversation Exploration using Topic‐Space Views","year":2016,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":75,"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":"Conversation; Computer science; Glyph (data visualization); Metaphor; Visual analytics; Space (punctuation); Human–computer interaction; Visualization; Artificial intelligence; Natural language processing; Linguistics","score_opus":0.09749530294172569,"score_gpt":0.3216399128599146,"score_spread":0.2241446099181889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2470422954","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":[0.0015024681,0.00004756808,0.9934637,0.0037133994,0.0008729204,0.00016454268,0.000007778922,0.00018779322,0.00003985185],"genre_scores_gemma":[0.7861793,0.00029804878,0.20602225,0.006412329,0.0003946424,0.000017692544,0.000068007546,0.00003930802,0.00056843454],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986884,0.00009402298,0.00030287151,0.0003885509,0.0002455902,0.00028053552],"domain_scores_gemma":[0.998899,0.00006405499,0.0001714523,0.0005647652,0.00018923363,0.0001115149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023616098,0.00016111707,0.00017305161,0.00019193973,0.00015677299,0.00021845281,0.00053666584,0.00007920546,0.000010551665],"category_scores_gemma":[0.000023645624,0.00012149657,0.000090730144,0.00043285606,0.00006584902,0.0016791361,0.00026603614,0.00006270051,0.00005248598],"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":[0.0000040032965,0.00010381625,0.005770903,0.000019139467,0.000035302164,0.000006467653,0.00091516605,0.00008972147,0.0010830426,0.9546092,0.007958841,0.029404365],"study_design_scores_gemma":[0.0008751201,0.00006060817,0.0005246928,0.000059178878,0.000009521893,0.000005459769,0.000035745346,0.9343863,0.0013038715,0.005795002,0.056673985,0.00027049438],"about_ca_topic_score_codex":0.000013542153,"about_ca_topic_score_gemma":0.00004142982,"teacher_disagreement_score":0.9488142,"about_ca_system_score_codex":0.000042238233,"about_ca_system_score_gemma":0.000048952534,"threshold_uncertainty_score":0.49544862},"labels":[],"label_agreement":null},{"id":"W2470801513","doi":"10.1111/cgf.12905","title":"Using Visualization to Explore Original and Anonymized LBSN Data","year":2016,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","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 Calgary","funders":"Alberta Innovates - Technology Futures","keywords":"Computer science; Visualization; Data mining; Data science; Data visualization; Domain (mathematical analysis); Mathematics","score_opus":0.1656647477140332,"score_gpt":0.4002914702619073,"score_spread":0.23462672254787412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2470801513","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":[0.15901615,0.000040587325,0.8379009,0.0025425572,0.00018006834,0.0001547223,0.000012450249,0.00006370186,0.000088889115],"genre_scores_gemma":[0.9957255,0.00006931392,0.0030418932,0.00076911825,0.00028168823,0.0000046597665,0.00003216952,0.000008630559,0.00006703701],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988774,0.00015563404,0.00016267505,0.000333097,0.00024018023,0.0002310282],"domain_scores_gemma":[0.999179,0.00012998591,0.000051842864,0.00038197765,0.000117644275,0.00013953603],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064918835,0.00008246459,0.0001268722,0.00017320142,0.0005484685,0.00011285456,0.00034710433,0.000058590176,0.000065417706],"category_scores_gemma":[0.000069268404,0.00006571718,0.00003435415,0.00049969996,0.00019062754,0.0003429666,0.00016245549,0.000036718284,0.000013364804],"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":[0.0000714706,0.00021841984,0.15258266,0.000042855427,0.00016295403,0.000006800234,0.01205549,0.00009675929,0.00038967223,0.6959944,0.011436032,0.12694252],"study_design_scores_gemma":[0.0023505245,0.00025068075,0.009995069,0.00040844723,0.00024662155,0.0000032194635,0.0032441325,0.22550352,0.00017836325,0.055444922,0.70112336,0.0012511364],"about_ca_topic_score_codex":0.00090576435,"about_ca_topic_score_gemma":0.0032323839,"teacher_disagreement_score":0.8367093,"about_ca_system_score_codex":0.000033789987,"about_ca_system_score_gemma":0.00010687088,"threshold_uncertainty_score":0.42184317},"labels":[],"label_agreement":null},{"id":"W2509413994","doi":"10.1111/cgf.12976","title":"Learning 3D Scene Synthesis from Annotated RGB‐D Images","year":2016,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":49,"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":"Computer science; Object (grammar); Artificial intelligence; RGB color model; Probabilistic logic; Computer vision; Task (project management); Controllability; Scale (ratio); Pattern recognition (psychology); Mathematics","score_opus":0.009598763711390167,"score_gpt":0.23506764393998575,"score_spread":0.22546888022859557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2509413994","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":[0.0032814408,0.00022182598,0.9908591,0.0038559844,0.0007180809,0.00009130344,0.000008427563,0.0006359787,0.0003278827],"genre_scores_gemma":[0.60344225,0.0002753154,0.39406806,0.0017771748,0.00018722686,0.000014771838,0.0000045787674,0.00003904859,0.0001915675],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979981,0.00012275895,0.00030543483,0.0006850335,0.00031735102,0.00057131314],"domain_scores_gemma":[0.99828166,0.0005379487,0.00014622578,0.0007090749,0.0001498071,0.00017527316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020017204,0.0002537757,0.00026621233,0.000267235,0.00031604478,0.00023243653,0.0011004866,0.00007202036,0.00002971223],"category_scores_gemma":[0.00008551923,0.00018431028,0.00013770006,0.00054784765,0.00012648942,0.0010597404,0.0007466202,0.00022108316,0.00015130898],"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":[0.000006643235,0.000043432254,0.0052315076,0.0000045240863,0.00003365363,0.000035193083,0.00010244384,0.00002919953,0.0028823598,0.01352167,0.003401826,0.97470754],"study_design_scores_gemma":[0.0014488838,0.0002658437,0.02134926,0.00067371136,0.000024369669,0.000039924562,0.000036782185,0.78565913,0.025860239,0.036114857,0.12720881,0.0013181827],"about_ca_topic_score_codex":0.000019370571,"about_ca_topic_score_gemma":0.0000026342736,"teacher_disagreement_score":0.9733894,"about_ca_system_score_codex":0.000027495884,"about_ca_system_score_gemma":0.00003079851,"threshold_uncertainty_score":0.7515955},"labels":[],"label_agreement":null},{"id":"W2512738810","doi":"10.1111/cgf.12989","title":"4D Reconstruction of Blooming Flowers","year":2016,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","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":"Memorial University of Newfoundland","funders":"Science and Technology Planning Project of Guangdong Province; National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Petal; Computer science; Process (computing); Artificial intelligence; Track (disk drive); Tracking (education); Computer vision; Point (geometry); Computer graphics (images); Geometry; Mathematics; Biology; Botany","score_opus":0.007286740629486282,"score_gpt":0.20061020973695626,"score_spread":0.19332346910746998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2512738810","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":[0.68687546,0.000007631472,0.30970928,0.0008332899,0.00029966715,0.00007715607,0.0000023829784,0.000043532775,0.002151601],"genre_scores_gemma":[0.9811629,0.000014202764,0.018609047,0.00010311617,0.00003446335,6.1873607e-7,7.369039e-7,0.000006706915,0.0000682219],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99944884,0.00001474022,0.00013375173,0.00016346545,0.00010260065,0.00013660452],"domain_scores_gemma":[0.99962837,0.000035738198,0.00005934999,0.00022523454,0.000008004077,0.00004329415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000084723884,0.00006091365,0.00007278189,0.00003991906,0.000093660434,0.000009846134,0.000109212706,0.000040058996,0.00006133199],"category_scores_gemma":[0.0000041017306,0.000044199474,0.00005777176,0.00016948194,0.00026065338,0.0000772243,0.00007160798,0.000038575356,0.0000486638],"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":[0.0000059633066,0.000035696572,0.045804415,0.0000036380932,0.000017041684,8.011486e-7,0.00010535636,0.00007192999,0.019084757,0.012214977,0.0038334366,0.918822],"study_design_scores_gemma":[0.003741216,0.0006700776,0.28413233,0.0006309611,0.00013006575,0.00048692946,0.00024246093,0.18942477,0.11348329,0.15941212,0.24569058,0.001955187],"about_ca_topic_score_codex":0.000046985628,"about_ca_topic_score_gemma":0.000029817485,"teacher_disagreement_score":0.9168668,"about_ca_system_score_codex":0.00001895225,"about_ca_system_score_gemma":0.0000043857776,"threshold_uncertainty_score":0.18024021},"labels":[],"label_agreement":null},{"id":"W2540086564","doi":"10.1111/cgf.13043","title":"Reduced Aggregate Scattering Operators for Path Tracing","year":2016,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Université de Montréal","funders":"","keywords":"Precomputation; Path tracing; Computer science; Rendering (computer graphics); Scattering; Tracing; Path (computing); Subspace topology; Aggregate (composite); Modular design; Ray tracing (physics); Asset (computer security); Decoupling (probability); Distributed ray tracing; Algorithm; Theoretical computer science; Artificial intelligence; Computation; Optics; Computer security; Physics; Engineering; Computer network","score_opus":0.020261190930782026,"score_gpt":0.27452974300463956,"score_spread":0.2542685520738575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2540086564","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":[0.018278534,0.000107108586,0.9768267,0.0021608712,0.001185295,0.00047394706,0.0000116463425,0.00092366646,0.00003222312],"genre_scores_gemma":[0.9092726,0.00012829098,0.08829336,0.00183145,0.00026104765,0.00011440812,0.0000067240044,0.000048346123,0.000043791115],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99768025,0.0000664703,0.0004988164,0.00081308506,0.00028771776,0.00065367395],"domain_scores_gemma":[0.99822044,0.00018174613,0.00019156831,0.00092216826,0.00028529836,0.00019875729],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00046450377,0.00032625956,0.00031617796,0.0005253913,0.0003823782,0.00042613622,0.0014448839,0.00013267915,0.000002882642],"category_scores_gemma":[0.000016874112,0.00024925926,0.00028461555,0.00077991566,0.000096858625,0.0008283533,0.00062404055,0.000111636684,0.0000065103645],"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":[0.0000051994657,0.00005405414,0.0008332732,0.00002878978,0.00003497631,0.000005359455,0.00016533532,0.0000028428215,0.0016934852,0.90466076,0.004337313,0.08817862],"study_design_scores_gemma":[0.0024002683,0.0010900509,0.0021388363,0.0010156517,0.00002603792,0.0000914036,0.000011591645,0.6710289,0.061920803,0.21220528,0.046237584,0.0018336021],"about_ca_topic_score_codex":0.0000062786253,"about_ca_topic_score_gemma":0.0000042417814,"teacher_disagreement_score":0.8909941,"about_ca_system_score_codex":0.000037121754,"about_ca_system_score_gemma":0.00006443381,"threshold_uncertainty_score":0.99999595},"labels":[],"label_agreement":null},{"id":"W2543428929","doi":"10.1111/cgf.13039","title":"Physically Based Video Editing","year":2016,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","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 Toronto","funders":"National Research Foundation Singapore","keywords":"Computer science; Generality; Animation; Physics engine; Object (grammar); Motion (physics); Constraint (computer-aided design); Computer graphics (images); Action (physics); Human–computer interaction; Variety (cybernetics); Frame (networking); Video editing; Task (project management); Computer animation; Computer vision; Artificial intelligence; Geometry","score_opus":0.008463014124490976,"score_gpt":0.19334070215472013,"score_spread":0.18487768803022916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2543428929","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":[0.029875832,0.000009963013,0.9675465,0.00068485475,0.00055414933,0.00004959874,0.000003950586,0.00049535884,0.00077979773],"genre_scores_gemma":[0.99724275,0.0000035282328,0.001861377,0.0004361853,0.0004074367,0.00000438412,0.0000045456854,0.000018213768,0.000021575563],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951905,0.000009396283,0.000109662324,0.000097517375,0.00009415964,0.00017023474],"domain_scores_gemma":[0.99975026,0.00003514208,0.000015864785,0.0001202498,0.000029704908,0.00004877527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000052448282,0.00008202592,0.00007159537,0.00007862227,0.000050805753,0.000029042943,0.00008976423,0.00003566217,0.00003729636],"category_scores_gemma":[0.000003907825,0.00006321625,0.00006293299,0.00009531887,0.000022072603,0.00011836561,0.000016361622,0.000056581634,0.00010226821],"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":[0.0000070233414,0.000118064345,0.0056740064,0.00017895347,0.000092331116,0.000013495702,0.00020788792,0.0037160912,0.022571605,0.40996397,0.16090998,0.3965466],"study_design_scores_gemma":[0.0007345909,0.000062826126,0.010905462,0.0001791425,0.0000067910164,0.0000018048195,0.000004466985,0.92310214,0.0031691734,0.0072903964,0.0542514,0.00029179046],"about_ca_topic_score_codex":2.8763858e-7,"about_ca_topic_score_gemma":0.0000025930615,"teacher_disagreement_score":0.96736693,"about_ca_system_score_codex":0.0000128798565,"about_ca_system_score_gemma":0.0000036726676,"threshold_uncertainty_score":0.2577884},"labels":[],"label_agreement":null},{"id":"W2544804007","doi":"10.1111/cgf.13008","title":"Trip Synopsis: 60km in 60sec","year":2016,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":16,"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":"Computer science; Computer vision; Trajectory; Artificial intelligence; Process (computing); Focus (optics); Metric (unit); Computer graphics (images); Terrain; Position (finance); Geography","score_opus":0.011097994464592774,"score_gpt":0.24531527669541545,"score_spread":0.23421728223082267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2544804007","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":[0.0028470804,0.00021864363,0.9886281,0.0065564686,0.00090258644,0.000119429205,0.000001511009,0.00024256555,0.0004836555],"genre_scores_gemma":[0.8625951,0.0001727704,0.13124762,0.0055033118,0.00012885188,0.00001928819,0.0000011468255,0.000024971363,0.0003069664],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983382,0.00005804322,0.00030860314,0.00051589904,0.00024932265,0.0005299283],"domain_scores_gemma":[0.99886537,0.00014571591,0.0000801755,0.00071219535,0.000065889755,0.00013065098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002425856,0.00018127207,0.00020543694,0.00041234505,0.000096575764,0.00010468023,0.0010860229,0.00006262002,0.000008153793],"category_scores_gemma":[0.000021827465,0.00012831535,0.00010803132,0.00078577205,0.00007408123,0.00089565245,0.00055878214,0.00015223642,0.00007791839],"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":[0.0000055756345,0.00007343251,0.008329648,0.000007386524,0.0000091294405,0.000048313246,0.00012690354,0.000010957476,0.00023365207,0.371651,0.006177311,0.6133267],"study_design_scores_gemma":[0.0038799297,0.00034232947,0.0312535,0.0006456739,0.0000057931793,0.00010205291,0.00002918677,0.5064599,0.0016575976,0.25038144,0.20405854,0.0011840463],"about_ca_topic_score_codex":0.000005884793,"about_ca_topic_score_gemma":0.000013036083,"teacher_disagreement_score":0.859748,"about_ca_system_score_codex":0.000035778674,"about_ca_system_score_gemma":0.000036317648,"threshold_uncertainty_score":0.5232548},"labels":[],"label_agreement":null},{"id":"W2545100096","doi":"10.1111/cgf.13001","title":"Retargeting 3D Objects and Scenes with a General Framework","year":2016,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","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 British Columbia","funders":"","keywords":"Retargeting; Computer science; Bounding overwatch; Object (grammar); Computer vision; Process (computing); Artificial intelligence; Minimum bounding box; Set (abstract data type); Seam carving; Computer graphics (images); Image (mathematics)","score_opus":0.007665701321187914,"score_gpt":0.23185534387356516,"score_spread":0.22418964255237725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2545100096","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":[0.010584598,0.0003502722,0.985587,0.0026750932,0.00035990286,0.00009317076,8.6339975e-7,0.00023049554,0.00011858988],"genre_scores_gemma":[0.29826006,0.0000988508,0.6990857,0.0023732788,0.00012101925,0.0000045206716,4.1264929e-7,0.000014832198,0.00004129143],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862164,0.000040603092,0.00016782882,0.0005062632,0.00022271923,0.00044092734],"domain_scores_gemma":[0.99904186,0.00015049489,0.000084661784,0.00049005426,0.0000869722,0.0001459823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000143541,0.00018519218,0.0001745063,0.00015464549,0.00023586318,0.00017456386,0.00047050606,0.000058680416,0.0000026112984],"category_scores_gemma":[0.000020290745,0.00011396453,0.00004373974,0.00038474865,0.00012764167,0.00065148936,0.00047120146,0.00014988055,0.0000074278155],"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":[0.000013680923,0.00003528375,0.033787232,0.00002017822,0.000030412584,0.00004786589,0.00040561677,0.00001834374,0.00039158834,0.43473235,0.00081592565,0.52970153],"study_design_scores_gemma":[0.0018229068,0.00064925686,0.01852996,0.0012427542,0.00001476456,0.00028562485,0.000031728905,0.7651112,0.0020991745,0.18308015,0.025864253,0.0012682247],"about_ca_topic_score_codex":0.0000027448243,"about_ca_topic_score_gemma":0.00000313654,"teacher_disagreement_score":0.76509285,"about_ca_system_score_codex":0.000010964713,"about_ca_system_score_gemma":0.000026301592,"threshold_uncertainty_score":0.46473387},"labels":[],"label_agreement":null},{"id":"W2553723290","doi":"10.1111/cgf.13084","title":"Primal‐Dual Optimization for Fluids","year":2017,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Lattice Boltzmann Simulation Studies","field":"Engineering","cited_by":24,"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; Dual (grammatical number); Computer graphics (images); Art","score_opus":0.023469453053808154,"score_gpt":0.2596859859427694,"score_spread":0.23621653288896127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2553723290","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":[0.0076383287,0.00014216908,0.98897094,0.00034995843,0.0012772707,0.0002754231,0.000015705647,0.00034507626,0.0009851157],"genre_scores_gemma":[0.93359345,0.000059533224,0.065577485,0.00020486815,0.00038475665,0.000038050657,0.000028610028,0.000051401676,0.00006182971],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993215,0.000004844567,0.00016999351,0.0001540225,0.000107467975,0.00024213573],"domain_scores_gemma":[0.9993263,0.00005711819,0.00004520914,0.0004137272,0.000112584145,0.000045076402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000911234,0.00013410929,0.00015062703,0.000080374826,0.00046528058,0.0001745188,0.00020726745,0.000071229355,0.0000062723925],"category_scores_gemma":[0.000018234083,0.00013675664,0.00008570128,0.000045586392,0.000061258026,0.00029482733,0.000115234696,0.00006974974,0.00000738051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015446827,0.00003329072,0.0092339795,0.00015528974,0.00025982363,0.000003442895,0.00029015425,0.83974504,0.00004331479,0.107958615,0.031189686,0.011071921],"study_design_scores_gemma":[0.0004861719,0.000032165728,0.004216556,0.00001526897,0.000018043555,0.0000014394731,0.0000059531117,0.9779655,0.00009403152,0.0017443837,0.015248249,0.00017227691],"about_ca_topic_score_codex":0.0000012884877,"about_ca_topic_score_gemma":0.0000044091644,"teacher_disagreement_score":0.9259551,"about_ca_system_score_codex":0.000016682221,"about_ca_system_score_gemma":0.0000065154145,"threshold_uncertainty_score":0.55767745},"labels":[],"label_agreement":null},{"id":"W2588255158","doi":"10.1111/cgf.13081","title":"SketchSoup: Exploratory Ideation Using Design Sketches","year":2017,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":24,"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":"Computer science; Sketch; Computer graphics (images); Morphing; Workflow; Viewpoints; Computer vision; Viewport; Representation (politics); Interpolation (computer graphics); Artificial intelligence; Conceptual design; Engineering drawing; Image (mathematics); Human–computer interaction; Database; Algorithm","score_opus":0.07622792234650813,"score_gpt":0.31315193074911013,"score_spread":0.236924008402602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588255158","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":[0.0025528367,0.00015449764,0.9946094,0.00085351174,0.0013021857,0.00016532226,9.544514e-7,0.00025043642,0.000110856025],"genre_scores_gemma":[0.4538051,0.00004678248,0.544577,0.0013385196,0.00017717078,0.000008065672,0.0000017026779,0.000023382176,0.000022278766],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842525,0.00007565976,0.00025830744,0.0005106762,0.00029490294,0.00043522884],"domain_scores_gemma":[0.9979017,0.00007879779,0.00026894652,0.001452791,0.00015566483,0.00014214426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038758197,0.0002136853,0.00020128334,0.00021611845,0.0011826276,0.0008829991,0.0017397488,0.00007195873,0.0000023542927],"category_scores_gemma":[0.00004108225,0.00020996667,0.000102668586,0.00021000557,0.00013802251,0.002621668,0.00089121336,0.00019979353,0.000023950242],"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":[0.000011293348,0.00014574669,0.009828427,0.000030178546,0.00006461129,0.00008121168,0.001047834,0.0020926162,0.0030226049,0.4706972,0.0048348834,0.5081434],"study_design_scores_gemma":[0.0003247696,0.00005598691,0.0025303923,0.0000653084,0.00000508125,0.00001676445,0.000017937806,0.9468422,0.001875557,0.044399057,0.0035708928,0.0002960381],"about_ca_topic_score_codex":0.000009686205,"about_ca_topic_score_gemma":0.000002609025,"teacher_disagreement_score":0.9447496,"about_ca_system_score_codex":0.000032141663,"about_ca_system_score_gemma":0.00006953292,"threshold_uncertainty_score":0.9095936},"labels":[],"label_agreement":null},{"id":"W2591103968","doi":"10.1111/cgf.13089","title":"Multi‐Variate Gaussian‐Based Inverse Kinematics","year":2017,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","field":"Engineering","cited_by":20,"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":"National Natural Science Foundation of China","keywords":"Inverse kinematics; Computer science; Kinematics; Jacobian matrix and determinant; Motion capture; Euclidean vector; Algorithm; Artificial intelligence; Computer vision; Mathematics; Motion (physics); Applied mathematics; Robot; Geometry","score_opus":0.029385794293790075,"score_gpt":0.2483985094780923,"score_spread":0.21901271518430224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591103968","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":[0.03139828,0.000012990561,0.9653755,0.0003691729,0.001090315,0.00014197758,0.000007961148,0.00042986352,0.0011739429],"genre_scores_gemma":[0.9563529,0.000008745985,0.042956363,0.00043224895,0.00012734388,0.000006429909,0.000019928411,0.000030958847,0.00006509746],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993996,0.000011439662,0.0001668756,0.000116383475,0.00010542834,0.00020024781],"domain_scores_gemma":[0.999377,0.000011872759,0.000058672078,0.00044029954,0.000033651686,0.00007847031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008933131,0.0001270935,0.00012080246,0.00011453336,0.00027468026,0.00019604106,0.00026993584,0.00007466193,0.00003841468],"category_scores_gemma":[0.000009144394,0.00012818238,0.000081319035,0.00004726034,0.000050455063,0.00018198024,0.00004858893,0.00013595582,0.00011196215],"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":[0.00003266359,0.0008173137,0.047510408,0.00228495,0.000652064,0.0001780486,0.002977595,0.22626904,0.0067481534,0.4615911,0.19176473,0.05917394],"study_design_scores_gemma":[0.00050823303,0.000019649859,0.022061614,0.00004914002,0.000007768979,0.000001150438,0.0000046871564,0.97262067,0.00013577429,0.0007851306,0.0036543056,0.00015186808],"about_ca_topic_score_codex":0.0000040191626,"about_ca_topic_score_gemma":0.000040487685,"teacher_disagreement_score":0.9249546,"about_ca_system_score_codex":0.000013351041,"about_ca_system_score_gemma":0.0000067322644,"threshold_uncertainty_score":0.5227125},"labels":[],"label_agreement":null},{"id":"W2599949003","doi":"10.1111/cgf.13096","title":"Tunable Robustness: An Artificial Contact Strategy with Virtual Actuator Control for Balance","year":2017,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","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":"McGill University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Transpose; Controller (irrigation); Motion capture; Actuator; Underactuation; Torque; Motion control; Character animation; Trajectory; Motion (physics)","score_opus":0.020120217782727698,"score_gpt":0.23821773381893202,"score_spread":0.2180975160362043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2599949003","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":[0.31601664,0.000007724807,0.683024,0.00008266464,0.00031627427,0.00023867514,0.00002738264,0.0001810413,0.00010562356],"genre_scores_gemma":[0.9983217,0.0000039982456,0.0011395874,0.00011211899,0.0003007753,0.000031798234,0.00003454648,0.00003252353,0.000022950511],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924374,0.000011763719,0.00016422734,0.00018430011,0.000107888154,0.00028808485],"domain_scores_gemma":[0.9993885,0.000025054467,0.00006821299,0.00033813735,0.000082790284,0.00009728362],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010977086,0.00015698971,0.00018578355,0.00006670345,0.00038904807,0.00036745856,0.00025212375,0.000079898,0.000015102537],"category_scores_gemma":[0.0000048990637,0.00014303699,0.000058881666,0.00003268533,0.00004679329,0.0005128896,0.000013208468,0.000116307325,0.0000066808434],"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":[0.0003102437,0.00026217342,0.0049183145,0.00019329999,0.00032378087,0.000022383976,0.00038786436,0.16731255,0.0044597466,0.7772929,0.0069746836,0.037542038],"study_design_scores_gemma":[0.0011024689,0.00055574195,0.0072000227,0.000032274267,0.0000150932265,0.0000033518118,0.000036880123,0.988259,0.00024161841,0.0012089439,0.0011237813,0.00022082998],"about_ca_topic_score_codex":0.0000042440106,"about_ca_topic_score_gemma":0.0001045203,"teacher_disagreement_score":0.82094646,"about_ca_system_score_codex":0.000016016786,"about_ca_system_score_gemma":0.00001886708,"threshold_uncertainty_score":0.5832879},"labels":[],"label_agreement":null},{"id":"W2604677947","doi":"","title":"Detail-Preserving Explicit Mesh Projection and Topology Matching for Particle-Based Fluids: Detail-Preserving Projection and Topology Matching for Particle-Based Fluids","year":2017,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"École de Technologie Supérieure","funders":"","keywords":"Topology (electrical circuits); Projection (relational algebra); Matching (statistics); Computer science; Particle (ecology); Projection method; Mathematics; Algorithm; Dykstra's projection algorithm; Combinatorics","score_opus":0.03967790205454436,"score_gpt":0.3187398993514682,"score_spread":0.2790619972969238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2604677947","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":[0.23831433,0.00016690575,0.7554434,0.0032425423,0.0007502493,0.0015419036,0.000012049198,0.00051851664,0.000010094937],"genre_scores_gemma":[0.8888023,0.000060156694,0.10872618,0.0013625358,0.0002568836,0.0006818748,0.0000235459,0.000065840846,0.000020704836],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99623424,0.0002465666,0.0008191519,0.0013246005,0.00033362888,0.0010417956],"domain_scores_gemma":[0.99667037,0.00067178835,0.00049435574,0.0014476769,0.0004660913,0.00024969308],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0014793895,0.0005244763,0.0006197965,0.0004971482,0.0025109225,0.0016100863,0.0014772216,0.00034409575,0.0000029761609],"category_scores_gemma":[0.00012705603,0.000538238,0.00026697887,0.0004139913,0.0002686934,0.0014483946,0.0013082095,0.00032290843,6.2803167e-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":[0.0001964281,0.00025920273,0.040709563,0.00066533074,0.00013899952,0.0000087993385,0.0014024228,0.00014952257,0.00472873,0.92872983,0.0008672049,0.022143986],"study_design_scores_gemma":[0.0017960576,0.000899738,0.0032734992,0.00016704296,0.000051640312,0.00002528339,0.00008033175,0.87485874,0.016542377,0.100705884,0.0010336968,0.0005657313],"about_ca_topic_score_codex":0.00040673523,"about_ca_topic_score_gemma":0.0005449093,"teacher_disagreement_score":0.8747092,"about_ca_system_score_codex":0.00005882932,"about_ca_system_score_gemma":0.00013734783,"threshold_uncertainty_score":0.9997069},"labels":[],"label_agreement":null},{"id":"W2606924974","doi":"10.1111/cgf.13097","title":"Enhancing Urban Façades via LiDAR‐Based Sculpting","year":2017,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","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 Calgary","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Lidar; Polygon mesh; Offset (computer science); Computer graphics (images); Point cloud; Template; Planar; Level of detail; Procedural modeling; Ranging; 3D city models; Computer vision; Artificial intelligence; Geometry; Visualization; Geology; Remote sensing; Mathematics","score_opus":0.022012133194826734,"score_gpt":0.22835059066970803,"score_spread":0.2063384574748813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606924974","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":[0.94306046,0.0005465115,0.0493834,0.0007702377,0.002095633,0.00019288431,0.00003493517,0.0002569195,0.003659012],"genre_scores_gemma":[0.99547815,0.000007385516,0.0034583996,0.0006031186,0.00028013112,7.399762e-7,0.00005768242,0.000005816658,0.00010857878],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987306,0.00006404541,0.00020091671,0.000312779,0.00022724416,0.00046440726],"domain_scores_gemma":[0.99908566,0.00009180435,0.00014164308,0.00047801217,0.00005397761,0.0001488702],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00038784908,0.00017727377,0.00018526043,0.00006594282,0.0015115276,0.0004912051,0.00058034883,0.000091271446,0.0001175968],"category_scores_gemma":[0.000026503536,0.00014215421,0.00013825452,0.00009297566,0.00013255303,0.00035674233,0.000040890638,0.00021888135,0.00012332997],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000081891885,0.000009740627,0.9628677,0.000023952509,0.000016828913,0.000021242016,0.00012629858,0.00010293034,0.00005568569,0.00025088305,0.0006330459,0.03588354],"study_design_scores_gemma":[0.0003066242,0.00014204362,0.88198996,0.00010240393,0.0000106694415,0.000009628027,0.00004420599,0.10982048,0.0005424391,0.00082881015,0.005836461,0.00036626612],"about_ca_topic_score_codex":0.0007883667,"about_ca_topic_score_gemma":0.004086256,"teacher_disagreement_score":0.10971755,"about_ca_system_score_codex":0.0000023843995,"about_ca_system_score_gemma":0.000023064975,"threshold_uncertainty_score":0.99978834},"labels":[],"label_agreement":null},{"id":"W2616924719","doi":"10.1111/cgf.13122","title":"Geometric Stiffness for Real-time Constrained Multibody Dynamics","year":2017,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Dynamics and Control of Mechanical Systems","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":"McGill University; CM Labs Simulations (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stiffness; Integrator; Multibody system; Stability (learning theory); Work (physics); Computer science; Control theory (sociology); Focus (optics); Mathematical optimization; Mathematics; Classical mechanics; Structural engineering; Physics; Engineering; Artificial intelligence","score_opus":0.00862913756545455,"score_gpt":0.22331297742277856,"score_spread":0.214683839857324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616924719","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":[0.06090025,0.000062553765,0.9329176,0.0004397015,0.0027266156,0.0007331975,0.00022194548,0.00049988605,0.0014982725],"genre_scores_gemma":[0.99699324,0.00004539974,0.0023518563,0.000060929666,0.00024390992,0.00004984143,0.000075847056,0.00006068259,0.0001183158],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99871963,0.000011385063,0.0003261815,0.0002698089,0.00017434025,0.00049863744],"domain_scores_gemma":[0.9987853,0.00014594157,0.000115165545,0.0006827556,0.00011352051,0.00015729321],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024408818,0.00023981431,0.0003853233,0.00021106994,0.0003441201,0.00030003532,0.0006936491,0.00017827375,0.000004667378],"category_scores_gemma":[0.000031534775,0.00023790884,0.00022970996,0.00013275695,0.00006936999,0.00014943576,0.00011931214,0.00014558977,0.000018427054],"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":[0.00008211861,0.00019022748,0.002589518,0.00048146106,0.0008218588,0.000043445845,0.00004916216,0.0082527,0.0019450447,0.7540091,0.0071799424,0.22435537],"study_design_scores_gemma":[0.0012535811,0.00007378536,0.0032686875,0.000040425824,0.000025789312,0.000007990458,0.000004291403,0.9895163,0.000010139169,0.0037782926,0.0017191868,0.0003015189],"about_ca_topic_score_codex":0.000040224215,"about_ca_topic_score_gemma":0.000077303885,"teacher_disagreement_score":0.98126364,"about_ca_system_score_codex":0.00006364673,"about_ca_system_score_gemma":0.000016415366,"threshold_uncertainty_score":0.97016406},"labels":[],"label_agreement":null},{"id":"W2619168597","doi":"10.1111/cgf.13105","title":"Design Transformations for Rule-based Procedural Modeling","year":2017,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"BIM and Construction Integration","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Transformation (genetics); Rule-based machine translation; Procedural modeling; Variety (cybernetics); Theoretical computer science; Grammar; Programming language; Algorithm; Artificial intelligence","score_opus":0.027901779223121034,"score_gpt":0.23249221616099958,"score_spread":0.20459043693787854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2619168597","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":[0.0044343234,0.00003966627,0.9935184,0.0005279257,0.00074818125,0.00028347506,0.000010183181,0.00024438716,0.00019346157],"genre_scores_gemma":[0.9553546,0.000008805812,0.044253927,0.00014732698,0.000094882955,0.00009753928,0.000019435582,0.000018211082,0.0000052766736],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995012,0.0000048294523,0.00015607257,0.00009285392,0.000067975874,0.00017706153],"domain_scores_gemma":[0.9996268,0.000017058754,0.000026740634,0.00020409944,0.00008476939,0.000040538445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000069035115,0.00010381905,0.00008747637,0.00009427499,0.00046290518,0.00016991835,0.00017999398,0.000073324685,0.0000024941382],"category_scores_gemma":[0.0000033261547,0.00010230604,0.00008593173,0.00003931482,0.000031279797,0.00031351,0.000005850807,0.00009011847,0.0000033276197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028178009,0.000023337825,0.0002284348,0.00016736385,0.000068931426,4.5535134e-7,0.00022370837,0.77124995,0.0002600082,0.14765666,0.0044404306,0.07565253],"study_design_scores_gemma":[0.00037557763,0.000025427024,0.000039538987,0.000027062548,0.000010997149,0.0000031721518,0.00000949911,0.98291224,0.0009055846,0.014594066,0.00097077293,0.00012606406],"about_ca_topic_score_codex":0.000002390369,"about_ca_topic_score_gemma":0.000010231608,"teacher_disagreement_score":0.9509203,"about_ca_system_score_codex":0.000013311303,"about_ca_system_score_gemma":0.00002326702,"threshold_uncertainty_score":0.41719192},"labels":[],"label_agreement":null},{"id":"W2626368339","doi":"10.1111/cgf.13213","title":"State of the Art in Edge and Trail Bundling Techniques","year":2017,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":82,"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":"Agence Nationale de la Recherche","keywords":"Computer science; Theoretical computer science; Graph; Visualization; Set (abstract data type); Graph Layout; Graph drawing; Data structure; Artificial intelligence; Programming language","score_opus":0.022617232800080978,"score_gpt":0.2859615536406724,"score_spread":0.2633443208405914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2626368339","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":[0.011034067,0.000039536975,0.9862125,0.0018692912,0.00025836925,0.00011275676,0.0000067324345,0.000050172617,0.00041660725],"genre_scores_gemma":[0.983683,0.0001206281,0.015059657,0.0009837786,0.00002674366,0.000002810959,0.0000023900282,0.00000756505,0.00011345632],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931157,0.00003337363,0.00018448675,0.0001854441,0.00013328814,0.00015186063],"domain_scores_gemma":[0.99902165,0.000029963614,0.00014618978,0.0007176312,0.000049707483,0.000034863766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003115399,0.00007926955,0.00011817075,0.00011106267,0.00018385962,0.00024818894,0.0011160267,0.000028930657,4.3707476e-7],"category_scores_gemma":[0.000019257714,0.0000601826,0.000043324457,0.00016658753,0.0001522576,0.00037126945,0.00077488687,0.000099163946,0.0000010047095],"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":[0.000002194835,0.00010134379,0.06026475,0.00004813043,0.000019208452,0.000007108946,0.0005350959,0.000019946538,0.000099944744,0.76759547,0.005441594,0.16586524],"study_design_scores_gemma":[0.00043220012,0.000089507186,0.079755716,0.0002327439,0.0000064449205,0.000014294696,0.000009443327,0.78972125,0.0035995287,0.082573496,0.043265328,0.00030005828],"about_ca_topic_score_codex":0.000012742536,"about_ca_topic_score_gemma":0.00010142154,"teacher_disagreement_score":0.9726489,"about_ca_system_score_codex":0.0000046543864,"about_ca_system_score_gemma":0.000025072282,"threshold_uncertainty_score":0.24541752},"labels":[],"label_agreement":null},{"id":"W2726040086","doi":"10.1111/cgf.13166","title":"Compactly Supported Biorthogonal Wavelet Bases on the Body Centered Cubic Lattice","year":2017,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Digital Image Processing Techniques","field":"Computer Science","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 Calgary","funders":"","keywords":"Biorthogonal system; Wavelet; Biorthogonal wavelet; Lattice (music); Computer science; Cubic crystal system; Cartesian coordinate system; Algorithm; Wavelet transform; Mathematics; Artificial intelligence; Geometry; Physics; Acoustics; Condensed matter physics","score_opus":0.04075877410744571,"score_gpt":0.28697188166631116,"score_spread":0.24621310755886544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2726040086","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":[0.03499926,0.00007502601,0.930925,0.022618497,0.0012147909,0.00051779096,0.000046602705,0.0013222664,0.008280725],"genre_scores_gemma":[0.9600159,0.000017067709,0.033117015,0.0065332665,0.0001137011,0.000019337554,0.000017075963,0.000031403382,0.0001352485],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976753,0.00008403665,0.00035720866,0.00066851143,0.0005394246,0.00067552336],"domain_scores_gemma":[0.9964148,0.00024947588,0.00038098873,0.0025445628,0.00023125026,0.00017893895],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.000464572,0.00035341474,0.00029206235,0.00023001296,0.0011180006,0.0031487204,0.004537355,0.00009883281,0.000009415135],"category_scores_gemma":[0.000094394745,0.00025880625,0.00021953453,0.0002710609,0.00044587816,0.0015857213,0.0015561444,0.0003901421,0.000061564475],"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":[0.000020785623,0.0003949168,0.0063566132,0.000032468826,0.000088427274,0.00013237182,0.00011036829,0.0000011867708,0.00020617503,0.8812308,0.06701766,0.044408232],"study_design_scores_gemma":[0.0013868929,0.0011649582,0.076624,0.0007225046,0.000050825445,0.00023537627,0.000019289311,0.52782524,0.022832908,0.2718353,0.09549246,0.001810254],"about_ca_topic_score_codex":0.000022490685,"about_ca_topic_score_gemma":0.000011614884,"teacher_disagreement_score":0.92501664,"about_ca_system_score_codex":0.000025163901,"about_ca_system_score_gemma":0.00009080421,"threshold_uncertainty_score":0.9999864},"labels":[],"label_agreement":null},{"id":"W2726254666","doi":"10.1111/cgf.13242","title":"Generalized Matryoshka: Computational Design of Nesting Objects","year":2017,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"University of Toronto","funders":"","keywords":"Nesting (process); Computer science; Object (grammar); Replica; Scale (ratio); Variety (cybernetics); Orientation (vector space); Distributed computing; Theoretical computer science; Computer graphics (images); Artificial intelligence; Mathematics; Geometry; Geography","score_opus":0.028010879548439047,"score_gpt":0.23965992123214638,"score_spread":0.21164904168370735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2726254666","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":[0.05861396,0.00017214505,0.9404635,0.00008036471,0.00031288445,0.00005780545,0.0000048538427,0.0001518252,0.00014267942],"genre_scores_gemma":[0.919535,0.000025693244,0.08024132,0.000057822548,0.00009186368,0.0000032126095,0.000010988487,0.000022378144,0.000011733913],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992207,0.000019750625,0.00023722886,0.000147436,0.00015950514,0.00021537431],"domain_scores_gemma":[0.9993775,0.00005533521,0.000088968314,0.00033508273,0.00008764424,0.000055456723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014986673,0.00013462413,0.0002242385,0.00013603273,0.0002516826,0.0000949775,0.00032692286,0.00006451473,0.000004284755],"category_scores_gemma":[0.000011537832,0.0001371685,0.00012219351,0.00009166632,0.000058047182,0.000113626855,0.000075700154,0.000107113636,0.0000058021296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022141614,0.000010543637,0.0022335488,0.00003426912,0.00008487831,0.0000042869347,0.00006373604,0.9901731,0.000074865304,0.00419585,0.0008803656,0.002242317],"study_design_scores_gemma":[0.00027466257,0.000017324497,0.0012353677,0.00004636927,0.00002598665,0.000004790268,0.000004888269,0.98852813,0.00013784716,0.009549643,0.00003098359,0.00014401555],"about_ca_topic_score_codex":0.00001910095,"about_ca_topic_score_gemma":0.0000044378526,"teacher_disagreement_score":0.860921,"about_ca_system_score_codex":0.0000089362175,"about_ca_system_score_gemma":0.00001532226,"threshold_uncertainty_score":0.5593569},"labels":[],"label_agreement":null},{"id":"W2727783244","doi":"10.1111/cgf.13251","title":"Stochastic Heat Kernel Estimation on Sampled Manifolds","year":2017,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Natural Sciences and Engineering Research Council of Canada","keywords":"Parallelizable manifold; Kernel (algebra); Heat kernel; Variable kernel density estimation; Moving least squares; Manifold (fluid mechanics); Kernel density estimation; Riemannian manifold; Mathematics; Kernel embedding of distributions; Brownian motion; Nonlinear dimensionality reduction; Heat equation; Algorithm; Computer science; Applied mathematics; Mathematical optimization; Mathematical analysis; Kernel method; Artificial intelligence; Dimensionality reduction","score_opus":0.018048779312955673,"score_gpt":0.2392860547036422,"score_spread":0.22123727539068652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2727783244","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":[0.054601472,0.000049062597,0.9439832,0.00023907704,0.0005117665,0.000060912906,0.000006892607,0.000270319,0.00027730476],"genre_scores_gemma":[0.9969564,0.000012544588,0.0026832917,0.00013877961,0.00012615348,0.000006705486,0.00002180006,0.000028627479,0.000025714826],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999253,0.0000074606205,0.00015655618,0.00018319412,0.00015196709,0.00024783183],"domain_scores_gemma":[0.9992777,0.000032009997,0.000026984635,0.00055872084,0.000032325504,0.0000722242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008495815,0.00015620298,0.00017032855,0.00014873227,0.00033497094,0.00019139277,0.00030140099,0.00007545409,0.000007226738],"category_scores_gemma":[0.00001003271,0.00015373291,0.00012307109,0.000061129285,0.000030155363,0.000113536895,0.000056712037,0.00014886088,0.00005799852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002928977,0.000016737898,0.00029374525,0.000019642626,0.00006840759,0.000003797257,0.000040375766,0.9829494,0.0000147133815,0.006934738,0.0014070546,0.008248484],"study_design_scores_gemma":[0.00020429998,0.000033899032,0.0016563511,0.000055559674,0.000026840453,0.0000025647769,0.000002530611,0.99236804,0.000029966057,0.005366371,0.00008394412,0.00016964009],"about_ca_topic_score_codex":0.000029653458,"about_ca_topic_score_gemma":0.00002523085,"teacher_disagreement_score":0.9423549,"about_ca_system_score_codex":0.0000196637,"about_ca_system_score_gemma":0.0000049637447,"threshold_uncertainty_score":0.6269046},"labels":[],"label_agreement":null},{"id":"W2728444372","doi":"10.1111/cgf.13197","title":"Linear Discriminative Star Coordinates for Exploring Class and Cluster Separation of High Dimensional Data","year":2017,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":36,"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":"Discriminative model; Computer science; Linear subspace; Projection (relational algebra); Cluster analysis; Outlier; Class (philosophy); Artificial intelligence; Pattern recognition (psychology); Dimension (graph theory); Set (abstract data type); Data mining; Benchmark (surveying); Data set; Feature vector; Algorithm; Mathematics","score_opus":0.11240782963530994,"score_gpt":0.3558685634375094,"score_spread":0.24346073380219946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2728444372","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":[0.021445295,0.000030754338,0.97515535,0.0024331803,0.0005288338,0.00018152676,0.00017650929,0.000035616435,0.000012944842],"genre_scores_gemma":[0.91964906,0.00005080295,0.079245746,0.0004967425,0.0001048601,0.000010987225,0.00038422097,0.000012480491,0.000045085406],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99892557,0.000031187494,0.00024160698,0.00041664692,0.00019446728,0.00019049541],"domain_scores_gemma":[0.99819213,0.00013306594,0.00023362535,0.0011591446,0.00021330334,0.00006870809],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031636425,0.00012848961,0.00019437907,0.000121780744,0.0004043149,0.0002623957,0.0012658499,0.000043993503,7.6952733e-7],"category_scores_gemma":[0.000058913236,0.000115086834,0.00003910723,0.00009029442,0.0001510462,0.0018455507,0.0019099986,0.00006907864,0.0000011411719],"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":[0.000015962018,0.00008451386,0.0015610638,0.000068238514,0.000061076564,0.0000016618964,0.00027537215,0.00013865384,0.000025738287,0.97951686,0.008399175,0.009851684],"study_design_scores_gemma":[0.0005580476,0.00012441039,0.0029887634,0.00004851486,0.000016893911,0.0000020599216,0.000015287242,0.9766255,0.00038981857,0.01437928,0.0047059124,0.00014552707],"about_ca_topic_score_codex":0.000025806503,"about_ca_topic_score_gemma":0.000035178124,"teacher_disagreement_score":0.9764868,"about_ca_system_score_codex":0.0000061612504,"about_ca_system_score_gemma":0.000028992283,"threshold_uncertainty_score":0.4693105},"labels":[],"label_agreement":null},{"id":"W2729527457","doi":"10.1111/cgf.12957","title":"Front Matter","year":2016,"lang":"en","type":"paratext","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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 California, San Diego; Universidad de Zaragoza; Université de Montréal; Technische Universität Braunschweig; Université de Lyon; Technische Universität Berlin; Sapienza Università di Roma; Lunds Universitet; University of Bern; Technische Universiteit Delft; Institut national de recherche en informatique et en automatique (INRIA); Dartmouth College; École Polytechnique Fédérale de Lausanne; Academy of Motion Picture Arts and Sciences; České Vysoké Učení Technické v Praze; University of Toronto; University College London; Zhejiang University; Imperial College London; Univerzita Karlova v Praze; Nvidia","keywords":"Computer science; Computer graphics (images); Front (military); Geology","score_opus":0.015189396818683224,"score_gpt":0.27407090569015685,"score_spread":0.25888150887147365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2729527457","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":[0.0000058234887,0.0013001523,0.95823514,0.0016619109,0.010183047,0.0005332077,0.00009161437,0.0006482279,0.027340878],"genre_scores_gemma":[0.010284133,0.016496662,0.27791917,0.103691235,0.015648438,0.0012441489,0.0018500595,0.0014948938,0.57137126],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953565,0.00019674534,0.00092367054,0.0016659707,0.00076025154,0.0010968418],"domain_scores_gemma":[0.9958296,0.00016269044,0.00056736084,0.002671712,0.00043652937,0.00033210628],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00034314417,0.00092168263,0.0009010039,0.0014192024,0.0003568264,0.0009839832,0.0045543094,0.00079068454,0.0018850226],"category_scores_gemma":[0.0000035196902,0.0007646226,0.00069647183,0.00074794405,0.00018803537,0.00066146016,0.0028455816,0.0006912764,0.026050035],"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":[0.0000017880736,0.000052546093,0.00010239237,0.000063793195,0.000075119606,0.000009186242,0.000046276673,7.515628e-7,0.0000015699238,0.28728756,0.7061576,0.006201374],"study_design_scores_gemma":[0.00032254294,0.00018876756,0.00012910576,0.00043481006,0.000014725392,0.000035947785,7.140624e-7,0.026025403,0.00017424433,0.02732812,0.94420326,0.0011423775],"about_ca_topic_score_codex":0.000026054133,"about_ca_topic_score_gemma":0.0000072493935,"teacher_disagreement_score":0.680316,"about_ca_system_score_codex":0.00008084164,"about_ca_system_score_gemma":0.0002010112,"threshold_uncertainty_score":0.9994805},"labels":[],"label_agreement":null},{"id":"W2729788219","doi":"10.1111/cgf.13181","title":"NEREx: Named‐Entity Relationship Exploration in Multi‐Party Conversations","year":2017,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":53,"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":"Computer science; Sentence; Exploratory search; Reading (process); Process (computing); Exploratory research; Domain (mathematical analysis); Point (geometry); Exploratory data analysis; Thematic analysis; Information retrieval; Natural language processing; Data science; Qualitative research; Linguistics; Data mining","score_opus":0.10417266948073138,"score_gpt":0.3381073165417836,"score_spread":0.23393464706105221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2729788219","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":[0.003513197,0.000017439968,0.9911221,0.0039604716,0.000841568,0.00016203082,0.000010404674,0.00013159584,0.00024117861],"genre_scores_gemma":[0.9755184,0.000035898356,0.023266507,0.0008499418,0.00005254272,0.000012410064,0.00008869144,0.00000988119,0.0001657002],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99870616,0.00008012985,0.00032166077,0.00037980106,0.00024506944,0.0002671651],"domain_scores_gemma":[0.9982797,0.00007271224,0.00023590322,0.0011637779,0.0001444066,0.00010350736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003629166,0.00013947154,0.00015096995,0.00030879167,0.0007155582,0.0009004821,0.0012189574,0.00009270102,0.000005773348],"category_scores_gemma":[0.00012477196,0.00014645248,0.00007874161,0.00037245118,0.00012083984,0.002929761,0.00050899055,0.0001952431,0.00007376364],"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":[0.0000010463889,0.00009562573,0.17065302,0.000008066262,0.000008112475,0.000005528595,0.00034595668,0.00024055921,0.0000026940465,0.8234661,0.0038489248,0.0013243465],"study_design_scores_gemma":[0.00057761406,0.000022245938,0.13534229,0.00002744437,0.0000045531533,0.0000019769327,0.000025609625,0.83511364,0.000023247972,0.022396954,0.006281095,0.0001833174],"about_ca_topic_score_codex":0.00006914204,"about_ca_topic_score_gemma":0.0010740942,"teacher_disagreement_score":0.97200525,"about_ca_system_score_codex":0.000032212414,"about_ca_system_score_gemma":0.0000634471,"threshold_uncertainty_score":0.868337},"labels":[],"label_agreement":null},{"id":"W2730617731","doi":"10.1111/cgf.13252","title":"A Dirac Operator for Extrinsic Shape Analysis","year":2017,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":29,"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":"Adobe Systems; National Science Foundation","keywords":"Operator (biology); Eigenfunction; Laplace–Beltrami operator; Mathematics; Dirac operator; Eigenvalues and eigenvectors; Spectrum (functional analysis); Laplace operator; Surface (topology); Metric (unit); Mathematical analysis; Differential operator; Geometry; Boundary value problem; Physics; p-Laplacian","score_opus":0.019209333567720175,"score_gpt":0.24746279423314652,"score_spread":0.22825346066542634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2730617731","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":[0.15511806,0.00032138635,0.84335786,0.0002793729,0.00037806848,0.000110504196,0.00003402368,0.00025477717,0.0001459447],"genre_scores_gemma":[0.9944257,0.0000812724,0.004953643,0.00017687223,0.00020553818,0.000028853989,0.00003392166,0.000033727632,0.000060455157],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990139,0.000008155443,0.00022779516,0.00027393876,0.00012973309,0.00034645342],"domain_scores_gemma":[0.9989434,0.00003605542,0.00005224178,0.0007677988,0.000093882576,0.000106644075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014364946,0.00018785609,0.00034638104,0.00035288424,0.00049596524,0.0003350691,0.0005260742,0.000093102695,0.000014787458],"category_scores_gemma":[0.000011719538,0.00018109314,0.0005261689,0.00028301065,0.000044056313,0.00017463091,0.00009831153,0.00012417427,0.000012015665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039763694,0.00024575362,0.15249053,0.00037370744,0.015537554,0.000047301914,0.0006180695,0.5053864,0.00041750728,0.040359847,0.025414288,0.25906923],"study_design_scores_gemma":[0.0002460071,0.000022187683,0.0035866767,0.000012347214,0.00043238376,6.80975e-7,0.0000061946703,0.99185497,0.000072938616,0.0007318808,0.0027981817,0.0002355775],"about_ca_topic_score_codex":0.000014509761,"about_ca_topic_score_gemma":0.0000827457,"teacher_disagreement_score":0.83930767,"about_ca_system_score_codex":0.000014044999,"about_ca_system_score_gemma":0.000008879006,"threshold_uncertainty_score":0.7384764},"labels":[],"label_agreement":null},{"id":"W2731324804","doi":"10.1111/cgf.13224","title":"Stochastic Light Culling for VPLs on GGX Microsurfaces","year":2017,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Advanced Micro Devices (Canada)","funders":"České Vysoké Učení Technické v Praze","keywords":"Culling; Computer science; Bounding overwatch; Rendering (computer graphics); Bounding volume; Ellipsoid; Global illumination; Computer graphics (images); Context (archaeology); Computer vision; Artificial intelligence; Physics; Geography; Collision detection","score_opus":0.028141470473560425,"score_gpt":0.3081526039001459,"score_spread":0.2800111334265855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2731324804","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":[0.003560095,0.000120647506,0.99043703,0.0026141473,0.0019406093,0.00059670437,0.000012709018,0.0005847954,0.00013327735],"genre_scores_gemma":[0.91887075,0.00005868434,0.07798092,0.0024394745,0.00039468674,0.00009674345,0.00001528848,0.000054618955,0.00008882104],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99771476,0.000041027008,0.00042706484,0.0008467089,0.00035013154,0.0006203117],"domain_scores_gemma":[0.9969841,0.0001809556,0.00040017656,0.0019454628,0.00031166177,0.00017762744],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00046609624,0.00036069375,0.00036147935,0.00042294982,0.0016324832,0.0018317698,0.0031685228,0.0001676378,0.0000015882656],"category_scores_gemma":[0.0000343974,0.0003447069,0.0003224483,0.00025628976,0.00012472014,0.000645416,0.0009309753,0.00022787877,0.000011214379],"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":[0.000008412188,0.00009857288,0.00043186796,0.000025675956,0.000039941824,0.0000040122777,0.0001538998,0.0000880788,0.00006887377,0.9808657,0.008804423,0.009410522],"study_design_scores_gemma":[0.0006855727,0.00061606744,0.001023678,0.00018334051,0.000012741461,0.000011192652,0.0000037649083,0.8146018,0.0036450035,0.15009671,0.028509669,0.0006104497],"about_ca_topic_score_codex":0.000013674726,"about_ca_topic_score_gemma":0.000014026474,"teacher_disagreement_score":0.9153107,"about_ca_system_score_codex":0.000022984064,"about_ca_system_score_gemma":0.00005350813,"threshold_uncertainty_score":0.9999005},"labels":[],"label_agreement":null},{"id":"W2738415453","doi":"10.1111/cgf.13091","title":"Detail‐Preserving Explicit Mesh Projection and Topology Matching for Particle‐Based Fluids","year":2017,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"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":"Isosurface; Topology (electrical circuits); Surface (topology); Computation; Computer science; Projection (relational algebra); Matching (statistics); Divergence (linguistics); Topology optimization; Field (mathematics); Algorithm; Mathematics; Geometry; Visualization; Artificial intelligence; Finite element method; Physics","score_opus":0.038657801043717584,"score_gpt":0.3211197170389885,"score_spread":0.28246191599527093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738415453","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":[0.033059202,0.00007419085,0.96288496,0.0022387628,0.0007018851,0.0005294094,0.0000037125824,0.00046252747,0.000045336103],"genre_scores_gemma":[0.9088618,0.000050213555,0.089406006,0.0013452746,0.0001550315,0.00012936808,0.0000066422053,0.000025350852,0.000020302728],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99820626,0.000069451715,0.0003580112,0.0006633182,0.0002094422,0.00049351243],"domain_scores_gemma":[0.9980175,0.00016001833,0.00024338342,0.0012222911,0.0002206356,0.00013619477],"candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005464731,0.00024523624,0.00027906938,0.00026874722,0.0013727661,0.0011900588,0.0014455166,0.00014392052,0.000001702626],"category_scores_gemma":[0.000029423463,0.00024592815,0.00015257542,0.00021483566,0.000118294796,0.00091155147,0.0010777251,0.00016231318,9.4967464e-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":[0.000008098909,0.000050904615,0.00827775,0.00004937318,0.000023666487,0.000003029144,0.0002230453,0.000005007879,0.00019315495,0.9778084,0.00086027785,0.012497272],"study_design_scores_gemma":[0.00052440795,0.00028969138,0.0044349837,0.000052174015,0.000010051371,0.000012282251,0.000009440552,0.8452823,0.004281461,0.14183012,0.0029871538,0.00028588538],"about_ca_topic_score_codex":0.000085460284,"about_ca_topic_score_gemma":0.000078546174,"teacher_disagreement_score":0.87580264,"about_ca_system_score_codex":0.00001668172,"about_ca_system_score_gemma":0.0000479962,"threshold_uncertainty_score":0.9999993},"labels":[],"label_agreement":null},{"id":"W2761288201","doi":"10.1111/cgf.13274","title":"Group‐Theme Recoloring for Multi‐Image Color Consistency","year":2017,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Image Enhancement Techniques","field":"Computer Science","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":"York University","funders":"Canada First Research Excellence Fund","keywords":"Theme (computing); Consistency (knowledge bases); Computer science; Artificial intelligence; Color image; Computer vision; Image (mathematics); Image processing; World Wide Web","score_opus":0.05004088575321006,"score_gpt":0.3087094459312401,"score_spread":0.2586685601780301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761288201","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":[0.0024785695,0.000062364605,0.9916337,0.0016122183,0.0019004302,0.0009238509,0.000009111812,0.00074558525,0.00063416694],"genre_scores_gemma":[0.15089934,0.00004164459,0.847293,0.0011060934,0.0001719673,0.00027916636,0.0000079449665,0.00003376411,0.00016705022],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978665,0.000040353418,0.00039210258,0.00073404564,0.0002503178,0.00071668095],"domain_scores_gemma":[0.99718195,0.0001319689,0.00036488762,0.0019183285,0.00027515317,0.00012771682],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00059088966,0.00029482337,0.0003305583,0.00021381177,0.0013596346,0.0010261206,0.003047684,0.00013211853,0.0000030809956],"category_scores_gemma":[0.00009160755,0.00029778914,0.00025073014,0.00014225038,0.0002712214,0.0015735697,0.0014309726,0.00021550705,0.000021623575],"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":[0.000019698266,0.0002729983,0.0028130496,0.00009169034,0.00008407364,0.00003972155,0.0001835751,0.0000010623779,0.0022905674,0.9182115,0.017438818,0.058553252],"study_design_scores_gemma":[0.002532538,0.0010029563,0.00897771,0.00018334712,0.000031928725,0.000034500456,0.000017304172,0.8597945,0.01872516,0.054738235,0.05279583,0.0011659836],"about_ca_topic_score_codex":0.000021924376,"about_ca_topic_score_gemma":0.00007661407,"teacher_disagreement_score":0.86347324,"about_ca_system_score_codex":0.000048897444,"about_ca_system_score_gemma":0.000048260445,"threshold_uncertainty_score":0.9999474},"labels":[],"label_agreement":null},{"id":"W2763247712","doi":"10.1111/cgf.13275","title":"ℒ0 Gradient‐Preserving Color Transfer","year":2017,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Image Enhancement Techniques","field":"Computer Science","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":"Artificial intelligence; Computer vision; Computer science; Palette (painting); Pixel; Color balance; Color histogram; Color image; Color quantization; High color; Similarity (geometry); Color normalization; Color depth; Image (mathematics); Pattern recognition (psychology); Image processing","score_opus":0.020836679226788977,"score_gpt":0.262990408689435,"score_spread":0.24215372946264604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763247712","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":[0.014931939,0.00008420804,0.9768721,0.0031721925,0.0014210402,0.00032944354,0.0000030502863,0.0007155738,0.002470467],"genre_scores_gemma":[0.90983564,0.000060889146,0.087909445,0.0017112637,0.0001661174,0.00005305986,0.0000040403083,0.000027208021,0.00023233186],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980213,0.000051038176,0.00028714244,0.0006119084,0.00038015924,0.00064843433],"domain_scores_gemma":[0.99720895,0.00005307592,0.000096783275,0.0023617258,0.00014135761,0.00013810863],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00036082912,0.00025384017,0.00024849395,0.00022115833,0.0009949339,0.0010792031,0.004577215,0.00010938941,0.000011262829],"category_scores_gemma":[0.000019042545,0.00024864468,0.0001857475,0.00019252764,0.00020223515,0.0017028126,0.0014525814,0.0002667512,0.00003600999],"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":[0.0000071705263,0.00012896478,0.0050158626,0.00003546417,0.000054319084,0.00007451702,0.0003860444,0.0000055663286,0.00073250954,0.93119323,0.026563616,0.035802707],"study_design_scores_gemma":[0.0018711209,0.0008837841,0.033088468,0.00028856058,0.000034749122,0.00007220495,0.000016002587,0.63032573,0.046334643,0.13570209,0.14965005,0.0017325812],"about_ca_topic_score_codex":0.00004526477,"about_ca_topic_score_gemma":0.000055571538,"teacher_disagreement_score":0.8949037,"about_ca_system_score_codex":0.000028822053,"about_ca_system_score_gemma":0.00003574168,"threshold_uncertainty_score":0.9999966},"labels":[],"label_agreement":null},{"id":"W2771444426","doi":"10.1111/cgf.13315","title":"Laplace–Beltrami Operator on Point Clouds Based on Anisotropic Voronoi Diagram","year":2017,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Science Challenge Project; National Natural Science Foundation of China-Guangdong Joint Fund; National Natural Science Foundation of China","keywords":"Voronoi diagram; Tangent space; Point cloud; Mathematics; Robustness (evolution); Tangent; Point (geometry); Operator (biology); Outlier; Weighted Voronoi diagram; Mathematical analysis; Geometry; Algorithm; Computer science; Computer vision","score_opus":0.011000724889611898,"score_gpt":0.22231035458921813,"score_spread":0.21130962969960623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771444426","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":[0.29170546,0.0001033569,0.7022278,0.0016245905,0.001687722,0.00019517951,0.00003280352,0.0006575873,0.00176554],"genre_scores_gemma":[0.99728405,0.000043815475,0.0012330984,0.0010381195,0.0002592321,0.000013149156,0.000022184504,0.000053211963,0.00005310747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987751,0.000026615495,0.00021866354,0.00032834,0.00023039604,0.00042086726],"domain_scores_gemma":[0.9986967,0.000047730944,0.00004839432,0.0010167873,0.00004552565,0.00014489246],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00012977756,0.00027740744,0.00028511987,0.00017547894,0.0004421936,0.00030085453,0.0005266611,0.0001344225,0.00002788615],"category_scores_gemma":[0.000013451856,0.0002551496,0.00024225684,0.000099506695,0.000058470356,0.00010132072,0.000061897525,0.00032984212,0.000130351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003935032,0.0002806351,0.01443009,0.00009834486,0.0002862424,0.000063065025,0.00011330973,0.9088711,0.00010736507,0.016959373,0.016537787,0.042213295],"study_design_scores_gemma":[0.00051162025,0.00020440048,0.0033338931,0.00008125298,0.000027072285,8.359627e-7,0.000003776706,0.99264914,0.00028683437,0.000515787,0.002082164,0.0003032191],"about_ca_topic_score_codex":0.000018629245,"about_ca_topic_score_gemma":0.00005525816,"teacher_disagreement_score":0.7055786,"about_ca_system_score_codex":0.000039622104,"about_ca_system_score_gemma":0.000017396103,"threshold_uncertainty_score":0.99999005},"labels":[],"label_agreement":null},{"id":"W2785810336","doi":"10.1111/cgf.13348","title":"A Versatile Parameterization for Measured Material Manifolds","year":2018,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"McGill University","funders":"Agence Nationale de la Recherche","keywords":"Rendering (computer graphics); Extrapolation; Computer science; Representation (politics); Manifold (fluid mechanics); Exploit; Reflectivity; Gaussian; Artificial intelligence; Computer graphics (images); Algorithm; Computer vision; Mathematics; Optics","score_opus":0.025448237710075667,"score_gpt":0.27810197336051035,"score_spread":0.2526537356504347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785810336","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":[0.004822735,0.00001848989,0.9907087,0.0003662901,0.0024684032,0.00058495696,0.000022580954,0.0009001342,0.0001076827],"genre_scores_gemma":[0.83811307,0.000018363899,0.15910912,0.0018712736,0.00065952545,0.00010348,0.000068681096,0.000037438298,0.000019080513],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980281,0.000074879455,0.0004202949,0.0006533204,0.00033034527,0.00049304654],"domain_scores_gemma":[0.99826366,0.000074345575,0.0001858411,0.00080746494,0.00053872576,0.00012995352],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003907055,0.00026894713,0.00026338303,0.0004466075,0.00039561215,0.000600653,0.0011902932,0.00016103702,0.000009604626],"category_scores_gemma":[0.000014533433,0.00027418454,0.00019276977,0.00086438516,0.00012662,0.00055000803,0.00047942638,0.000081119935,0.000010197383],"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":[0.000017743148,0.000065389824,0.0003173922,0.000022897337,0.000034663102,0.0000014775623,0.00021790688,0.0000014787779,0.00022821884,0.9779968,0.0113220345,0.009773954],"study_design_scores_gemma":[0.0005855819,0.00108592,0.00072537054,0.00004534431,0.000013689843,0.000015174754,0.000004074137,0.81466484,0.011833327,0.1150868,0.05547354,0.0004663578],"about_ca_topic_score_codex":0.000012922129,"about_ca_topic_score_gemma":0.000013915616,"teacher_disagreement_score":0.86291003,"about_ca_system_score_codex":0.000025639354,"about_ca_system_score_gemma":0.000057580495,"threshold_uncertainty_score":0.99997103},"labels":[],"label_agreement":null},{"id":"W2805581493","doi":"10.1111/cgf.13359","title":"String Art: Towards Computational Fabrication of String Images","year":2018,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Digital Image Processing Techniques","field":"Computer Science","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":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; String (physics); Computation; Set (abstract data type); Graph; Computer graphics (images); Fuse (electrical); Theoretical computer science; Image (mathematics); Artificial intelligence; Computer vision; Algorithm; Mathematics; Engineering; Programming language","score_opus":0.016704615334107734,"score_gpt":0.26943573822972455,"score_spread":0.25273112289561683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805581493","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":[0.004882703,0.0000799766,0.99215186,0.0005024648,0.00032370276,0.00012976553,0.0000064741275,0.000556054,0.0013669806],"genre_scores_gemma":[0.6376486,0.000005142853,0.36197025,0.00024402601,0.0000816939,0.0000053269796,0.000008527505,0.000010825398,0.00002564799],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841744,0.00003131737,0.00038385353,0.00043316933,0.00041084495,0.00032339885],"domain_scores_gemma":[0.9983708,0.00006988911,0.00023666144,0.0005212375,0.0007197954,0.00008158576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002679113,0.00017989126,0.00020394132,0.00040274658,0.00014369635,0.00037463693,0.0011845544,0.00006587282,0.0000026211],"category_scores_gemma":[0.00003406373,0.00018684623,0.000099284414,0.000907317,0.00025910485,0.0013470472,0.0007795418,0.00013458062,0.000020509024],"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":[0.00000554302,0.00014203528,0.0032656675,0.000061136256,0.000040615258,0.000005050275,0.00025734483,0.00011176467,0.00028384067,0.65305734,0.013428575,0.3293411],"study_design_scores_gemma":[0.0003771776,0.0004350637,0.0121155195,0.00020469318,0.000010772305,0.00003408834,0.0000094579655,0.49684396,0.04824585,0.4373221,0.0039049843,0.0004963291],"about_ca_topic_score_codex":0.0000070074584,"about_ca_topic_score_gemma":0.0000012610805,"teacher_disagreement_score":0.6327659,"about_ca_system_score_codex":0.000027524473,"about_ca_system_score_gemma":0.00009676286,"threshold_uncertainty_score":0.76193684},"labels":[],"label_agreement":null},{"id":"W2806941686","doi":"10.1111/cgf.13385","title":"Functionality Representations and Applications for Shape Analysis","year":2018,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Carleton University","funders":"","keywords":"Computer science; Variety (cybernetics); Human–computer interaction; Focus (optics); Perspective (graphical); Inference; Process (computing); Computer graphics; Key (lock); Graphics; Function (biology); Artificial intelligence; Data science; Computer graphics (images); Programming language","score_opus":0.017638063108729795,"score_gpt":0.25718348669777436,"score_spread":0.23954542358904457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806941686","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":[0.011877342,0.0001217002,0.987193,0.00018397375,0.00008002381,0.00011767556,0.000038488546,0.00017973571,0.00020807158],"genre_scores_gemma":[0.9909267,0.000029711104,0.00832142,0.00017589125,0.00029402945,0.000091355025,0.00011023218,0.000011962196,0.000038731487],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999422,0.000007121737,0.0001548706,0.00019798007,0.00007404668,0.00014395037],"domain_scores_gemma":[0.999509,0.000059577687,0.000019867139,0.00022827041,0.0001255908,0.00005770439],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009129239,0.00008353305,0.00013120225,0.00025174383,0.00021354419,0.000049094568,0.00008212157,0.000044247678,0.000016237775],"category_scores_gemma":[0.0000028884901,0.0000863902,0.00015141902,0.0007466365,0.00006436458,0.000059633578,0.000027599153,0.000050813895,0.0000056655986],"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":[0.000028126691,0.0002420663,0.19691992,0.00027471146,0.011686987,0.0000011824748,0.0006592352,0.26602286,0.00022226402,0.32062784,0.043110404,0.16020441],"study_design_scores_gemma":[0.000089504116,0.000014163782,0.005613246,0.0000017593718,0.00031106506,5.923106e-7,0.000011489693,0.9790281,0.000020307973,0.008392389,0.006419986,0.000097366814],"about_ca_topic_score_codex":0.0000083569885,"about_ca_topic_score_gemma":0.000066472974,"teacher_disagreement_score":0.9790493,"about_ca_system_score_codex":0.000007075074,"about_ca_system_score_gemma":0.0000044873805,"threshold_uncertainty_score":0.35228902},"labels":[],"label_agreement":null},{"id":"W2807141917","doi":"10.1111/cgf.13341","title":"From Faces to Outdoor Light Probes","year":2018,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Image Enhancement Techniques","field":"Computer Science","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":"Université Laval","funders":"","keywords":"Computer science; Artificial intelligence; Computer vision; High dynamic range; Rendering (computer graphics); Computer graphics (images); High-dynamic-range imaging; Image-based lighting; Dynamic range; Image-based modeling and rendering","score_opus":0.010833960205919735,"score_gpt":0.2539730568964078,"score_spread":0.24313909669048808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807141917","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":[0.015224243,0.00006441442,0.97496843,0.005831767,0.0015505854,0.0003960481,0.000005196821,0.0010892274,0.0008700891],"genre_scores_gemma":[0.47947657,0.00000848425,0.51248527,0.006922591,0.00080907403,0.000060923587,0.000005931846,0.000025580615,0.00020558866],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980731,0.00004928689,0.0002823281,0.0006967847,0.00036049742,0.00053798885],"domain_scores_gemma":[0.99841464,0.000043866905,0.00008461454,0.0010808423,0.00021831169,0.00015773144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001934971,0.00024411669,0.00022022924,0.00029756513,0.00021654596,0.00041444995,0.0020472822,0.000090902264,0.000018478164],"category_scores_gemma":[0.0000120811055,0.00022316388,0.0000945696,0.00073207874,0.00009033718,0.00065333827,0.0013362183,0.00014861466,0.0003745929],"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":[0.000018079814,0.00028229362,0.004384989,0.000021219908,0.000116302515,0.000038872648,0.005024032,0.000002656742,0.00733511,0.3229346,0.54042536,0.11941651],"study_design_scores_gemma":[0.00045858818,0.0014075408,0.0033238397,0.00018337356,0.000013636187,0.000009543198,0.000029486357,0.051221292,0.39823806,0.13723922,0.406791,0.0010844412],"about_ca_topic_score_codex":0.00004421641,"about_ca_topic_score_gemma":0.000042671385,"teacher_disagreement_score":0.46425232,"about_ca_system_score_codex":0.000025239004,"about_ca_system_score_gemma":0.000033695676,"threshold_uncertainty_score":0.91003585},"labels":[],"label_agreement":null},{"id":"W2809912216","doi":"10.1111/cgf.13592","title":"Solid Geometry Processing on Deconstructed Domains","year":2018,"lang":"en","type":"preprint","venue":"Computer Graphics Forum","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","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":"Toronto Metropolitan University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Connaught Fund; Adobe Systems","keywords":"Discretization; Geometry processing; Tetrahedron; Geometry; Boundary (topology); Complex geometry; Convergence (economics); Differential geometry; Solid geometry; Variety (cybernetics); Computer science; Finite element method; Mathematics; Mathematical analysis; Artificial intelligence; Polygon mesh; Engineering; Structural engineering","score_opus":0.018569304563767625,"score_gpt":0.2903201763842542,"score_spread":0.27175087182048663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809912216","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":[0.050130304,0.00028114332,0.9418037,0.0009849563,0.005292687,0.0004262912,0.000023845421,0.0005726373,0.00048446667],"genre_scores_gemma":[0.7664689,0.00006451808,0.22709717,0.003950032,0.0019805897,0.000059363694,0.00024414324,0.000056727167,0.000078568795],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99627846,0.00013616419,0.0006727777,0.0014437812,0.0007791612,0.00068964896],"domain_scores_gemma":[0.99715304,0.00018630433,0.0004945675,0.0012975066,0.0006197925,0.00024878138],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00047274612,0.0005813652,0.0005228787,0.0013984278,0.0005541534,0.0010306108,0.0020843917,0.00049430743,0.000013007122],"category_scores_gemma":[0.00003960108,0.000595567,0.0003306075,0.0014480272,0.00019701854,0.0003926152,0.0026868354,0.00091478304,0.000080042366],"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":[0.00005086983,0.0006045425,0.0016675001,0.0004973599,0.00040377368,0.00010043366,0.00079541275,0.033705942,0.00008717762,0.5319553,0.042154804,0.38797688],"study_design_scores_gemma":[0.00044643437,0.0002854486,0.0025793163,0.00032797077,0.000023054854,0.00006748282,0.000005152304,0.85957134,0.0007537276,0.12857592,0.00656866,0.00079549773],"about_ca_topic_score_codex":0.000005337408,"about_ca_topic_score_gemma":0.000009595792,"teacher_disagreement_score":0.8258654,"about_ca_system_score_codex":0.0000965657,"about_ca_system_score_gemma":0.00047187586,"threshold_uncertainty_score":0.9996496},"labels":[],"label_agreement":null},{"id":"W2812765312","doi":"10.1111/cgf.13425","title":"ThreadReconstructor: Modeling Reply‐Chains to Untangle Conversational Text through Visual Analytics","year":2018,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Software Engineering Research","field":"Computer Science","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":"Ontario Tech University","funders":"","keywords":"Computer science; Heuristics; Visual analytics; Visualization; Analytics; Human–computer interaction; Data visualization; Artificial intelligence; Data science; Machine learning; Information retrieval","score_opus":0.03116623171626524,"score_gpt":0.2922717656578509,"score_spread":0.26110553394158564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2812765312","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":[0.06651947,0.000038432012,0.9294219,0.0016180187,0.0015505862,0.00021890718,0.0000072183648,0.00050456065,0.00012093689],"genre_scores_gemma":[0.8370264,0.000007374361,0.15970121,0.0026576929,0.00051342475,0.000011836517,0.000009167272,0.000030612093,0.000042264193],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99741876,0.000043318036,0.00037091147,0.00075226417,0.00067879946,0.00073591975],"domain_scores_gemma":[0.99791646,0.00036153986,0.0000604537,0.0009072394,0.0005006232,0.0002536832],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003718628,0.00026065414,0.00025383828,0.00044169364,0.0002924881,0.00031049093,0.001333151,0.00010993737,0.000021497275],"category_scores_gemma":[0.00011979502,0.00027367438,0.00013724425,0.0014419714,0.00016092749,0.0005836189,0.0009284234,0.00029259655,0.00016601097],"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":[0.000027590142,0.00017364547,0.040503167,0.00004474249,0.00025424027,0.000046673133,0.0029722424,0.01762048,0.000088939465,0.9011476,0.021080298,0.016040374],"study_design_scores_gemma":[0.0002888345,0.0002892702,0.0012045813,0.000035522848,0.000005256675,0.000040909395,0.000026116557,0.9842699,0.00028819081,0.0099547375,0.0032626998,0.00033394204],"about_ca_topic_score_codex":0.000055377655,"about_ca_topic_score_gemma":0.000032164306,"teacher_disagreement_score":0.9666495,"about_ca_system_score_codex":0.00010873232,"about_ca_system_score_gemma":0.0001678297,"threshold_uncertainty_score":0.99997157},"labels":[],"label_agreement":null},{"id":"W2817309376","doi":"10.1111/cgf.13432","title":"Landscaper: A Modeling System for 3D Printing Scale Models of Landscapes","year":2018,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","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 Calgary","funders":"","keywords":"Geospatial analysis; Computer science; Context (archaeology); Visualization; Scale (ratio); Data science; Data mining; Geography; Cartography; Archaeology","score_opus":0.013825633774002215,"score_gpt":0.2218339241648773,"score_spread":0.20800829039087507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2817309376","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":[0.28247038,0.000009711857,0.7146514,0.000074072705,0.000105799314,0.00018249429,0.0000048438687,0.00006614252,0.0024351338],"genre_scores_gemma":[0.91648656,0.000003048055,0.08329994,0.000054626456,0.00011202256,0.0000049775126,0.0000063409702,0.0000149226735,0.000017577135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991034,0.000015088662,0.00022554211,0.00026304487,0.00014882018,0.00024406085],"domain_scores_gemma":[0.99950075,0.00003223401,0.00007826335,0.0002927726,0.000039373404,0.000056579225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002011599,0.00010310936,0.00015123568,0.00005172856,0.00021470302,0.000024907857,0.00019583917,0.00006258926,0.0000038870307],"category_scores_gemma":[0.0000021610906,0.00009238726,0.00009123158,0.00019645128,0.00006279283,0.00009025313,0.0001442584,0.00005846401,0.000015675754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002048792,0.0006499097,0.07845993,0.0007314166,0.00029132623,0.0000030720535,0.009094879,0.5859571,0.010179584,0.11465006,0.011437758,0.18834008],"study_design_scores_gemma":[0.00019805507,0.00005349004,0.00020290467,0.00004712198,0.000012724036,0.000006763932,0.00006638962,0.9957036,0.00048770485,0.0016919144,0.0014217101,0.00010762937],"about_ca_topic_score_codex":0.00008442656,"about_ca_topic_score_gemma":0.0001026672,"teacher_disagreement_score":0.63401616,"about_ca_system_score_codex":0.00001818077,"about_ca_system_score_gemma":0.00000603768,"threshold_uncertainty_score":0.3767443},"labels":[],"label_agreement":null},{"id":"W2834516606","doi":"10.1111/cgf.13434","title":"Illustrative Multivariate Visualization for Geological Modelling","year":2018,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Geoscience BC; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; CMG Reservoir Simulation Foundation","keywords":"Visualization; Computer science; Multivariate statistics; Grid; Domain (mathematical analysis); Data mining; Visual analytics; Data visualization; Geology; Machine learning","score_opus":0.05630041469152158,"score_gpt":0.32544514427284726,"score_spread":0.2691447295813257,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2834516606","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":[0.0006935707,0.000013560482,0.997524,0.00047379767,0.00061662076,0.00023944375,0.000013461223,0.00025791998,0.00016761525],"genre_scores_gemma":[0.7039381,0.000020062913,0.29186937,0.0034842128,0.000399924,0.000020529405,0.00012387706,0.000020432204,0.00012342648],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986149,0.00005652491,0.00029527204,0.00047045352,0.00020079312,0.00036203355],"domain_scores_gemma":[0.99882805,0.00010339148,0.00012690705,0.00039202932,0.00044442737,0.000105166204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026640837,0.00016902301,0.00017833138,0.0001848357,0.00034518723,0.00025164886,0.00070438534,0.00010955135,0.0000069050625],"category_scores_gemma":[0.00002196784,0.00015106644,0.00009868471,0.0006114368,0.00014294709,0.00051350973,0.00030222352,0.00007653203,0.000023253437],"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":[0.000005287871,0.000062847685,0.00022203295,0.0000070045908,0.000021312306,0.0000010150675,0.00027489554,0.0013168096,0.000011194584,0.99368924,0.0026647104,0.0017236779],"study_design_scores_gemma":[0.00036826555,0.00027144095,0.0000916347,0.000015169383,0.0000068112276,0.0000032479559,0.0000121457415,0.9302537,0.00021574128,0.052278023,0.016287424,0.00019641321],"about_ca_topic_score_codex":0.000009160773,"about_ca_topic_score_gemma":0.000008638423,"teacher_disagreement_score":0.9414112,"about_ca_system_score_codex":0.000014282653,"about_ca_system_score_gemma":0.00003937528,"threshold_uncertainty_score":0.6160311},"labels":[],"label_agreement":null},{"id":"W2849310602","doi":"10.1111/cgf.13418","title":"PixelSNE: Pixel‐Aligned Stochastic Neighbor Embedding for Efficient 2D Visualization with Screen‐Resolution Precision","year":2018,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","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":"HEC Montréal","funders":"National Research Foundation of Korea","keywords":"Embedding; Computer science; Visualization; Pixel; Scale (ratio); Range (aeronautics); Tree (set theory); Space (punctuation); Algorithm; Theoretical computer science; Artificial intelligence; Mathematics; Physics","score_opus":0.01824309092424188,"score_gpt":0.2992238744289965,"score_spread":0.28098078350475464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2849310602","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":[0.002333991,0.00004151612,0.99535745,0.00030355933,0.0008341314,0.0006449609,0.00003305815,0.00038316147,0.000068190304],"genre_scores_gemma":[0.8664653,0.000009907567,0.13067596,0.0017820406,0.00056207884,0.000045110486,0.00029979355,0.0000637965,0.000096030846],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974392,0.000086264794,0.0004736229,0.0007883545,0.0006029446,0.000609631],"domain_scores_gemma":[0.9977967,0.00018231565,0.0002837605,0.0007889427,0.0007470629,0.00020119308],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005156724,0.00031349866,0.00028569569,0.00053334655,0.0006719896,0.00053809467,0.0009782524,0.00013024487,0.0000075302096],"category_scores_gemma":[0.00006163851,0.00027332664,0.00012287621,0.0015080586,0.00018102268,0.000558943,0.00044666245,0.000078987556,0.000027134944],"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":[0.00007865822,0.00026074503,0.000161706,0.000036244957,0.000057139892,0.0000018061285,0.0004709751,0.01594918,0.00014126136,0.965519,0.0069770208,0.010346249],"study_design_scores_gemma":[0.0009896574,0.0009376638,0.00021899916,0.00016514355,0.000031067008,0.000012708906,0.000022796583,0.98900133,0.0002494466,0.002951779,0.0050362656,0.00038312364],"about_ca_topic_score_codex":0.0000061454753,"about_ca_topic_score_gemma":0.000022611692,"teacher_disagreement_score":0.97305214,"about_ca_system_score_codex":0.000055546072,"about_ca_system_score_gemma":0.000095577525,"threshold_uncertainty_score":0.99997187},"labels":[],"label_agreement":null},{"id":"W2853934102","doi":"10.1111/cgf.13447","title":"State of the Art of Sports Data Visualization","year":2018,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":157,"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":"Université de Lyon; City, University of London; Agence Nationale de la Recherche","keywords":"Visualization; Data science; Computer science; Data visualization; Domain (mathematical analysis); Information visualization; Field (mathematics); Event (particle physics); Data mining","score_opus":0.029333754974387703,"score_gpt":0.30136494827800137,"score_spread":0.27203119330361364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2853934102","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":[0.003128271,0.00001950613,0.9955201,0.000307066,0.0006290515,0.00008937118,0.000043527674,0.000040416682,0.00022269528],"genre_scores_gemma":[0.9866786,0.00006345017,0.011542191,0.0013444365,0.000080093276,6.773651e-7,0.0001207517,0.000012999038,0.00015679424],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987829,0.000047927464,0.00034974818,0.00026937787,0.00039420242,0.00015588987],"domain_scores_gemma":[0.9977296,0.000027392964,0.0002832395,0.0016419656,0.0002772368,0.00004058595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033219962,0.00009106635,0.00014195842,0.00013458465,0.00007860865,0.00004738348,0.0020513881,0.000028718992,0.0000062280674],"category_scores_gemma":[0.000019866751,0.00006863141,0.00005051017,0.0010430674,0.00020463591,0.00034375724,0.0015464913,0.000047285484,0.000005065487],"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":[0.000003402523,0.000120642406,0.0171042,0.00004070095,0.00003716946,0.000001069591,0.0002950264,0.000051554354,0.00006267175,0.8940137,0.06789644,0.020373395],"study_design_scores_gemma":[0.00016692061,0.00006871773,0.008258103,0.00007217363,0.000009844537,0.000003357535,0.000003883189,0.93918604,0.0020759853,0.015558074,0.034485586,0.000111330606],"about_ca_topic_score_codex":0.0000037989082,"about_ca_topic_score_gemma":0.000015323805,"teacher_disagreement_score":0.9839779,"about_ca_system_score_codex":0.0000036400127,"about_ca_system_score_gemma":0.000060939135,"threshold_uncertainty_score":0.3812024},"labels":[],"label_agreement":null},{"id":"W2868148645","doi":"10.1111/cgf.13419","title":"Visualizing Multidimensional Data with Order Statistics","year":2018,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":4,"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":"Ryerson University; National Science Foundation","keywords":"Multidimensional scaling; Computer science; Visualization; Categorical variable; Dimensionality reduction; Centrality; Embedding; Multidimensional data; Data mining; Projection (relational algebra); Representation (politics); Data visualization; Set (abstract data type); Data set; Curse of dimensionality; Artificial intelligence; Machine learning; Mathematics; Algorithm; Statistics","score_opus":0.016561340032758196,"score_gpt":0.25607784049196997,"score_spread":0.23951650045921177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2868148645","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":[0.07966127,0.000015367252,0.917371,0.0006515406,0.0006875901,0.00023165449,0.000070395334,0.00014004203,0.0011711384],"genre_scores_gemma":[0.18675084,0.000008947292,0.8100244,0.002395899,0.00030218367,5.162694e-7,0.00026772215,0.00003407164,0.00021541407],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985367,0.00003894544,0.00015565117,0.0004977795,0.00042138825,0.00034950647],"domain_scores_gemma":[0.9990041,0.000062951556,0.00007595148,0.0006950206,0.00005544235,0.000106535175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014385273,0.00017111433,0.00012426394,0.000031119598,0.0002691779,0.000051010808,0.00044645293,0.00006929312,0.00012289698],"category_scores_gemma":[0.000014711564,0.00011806666,0.000015434825,0.00043631217,0.000484138,0.0002113465,0.0009477196,0.0001598396,0.0003018058],"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":[0.00005474548,0.00024813402,0.06603046,0.000014354142,0.00010653922,0.00009393411,0.00053460174,0.0006981882,0.0017853098,0.019058486,0.8791823,0.032192998],"study_design_scores_gemma":[0.0005673659,0.0003904808,0.060859166,0.0000540359,0.00003144435,0.0001420567,0.000034178895,0.68306357,0.00036769398,0.001342654,0.25262082,0.00052654446],"about_ca_topic_score_codex":0.000120104974,"about_ca_topic_score_gemma":0.0007081621,"teacher_disagreement_score":0.6823654,"about_ca_system_score_codex":0.000027237353,"about_ca_system_score_gemma":0.000012396279,"threshold_uncertainty_score":0.48146185},"labels":[],"label_agreement":null},{"id":"W2877520197","doi":"10.1111/cgf.13400","title":"ChangeCatcher: Increasing Inter‐author Awareness for Visualization Development","year":2018,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","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; Autodesk (Canada)","funders":"","keywords":"Workbook; Disk formatting; Computer science; Visualization; Variety (cybernetics); Data science; Human–computer interaction; World Wide Web; Information retrieval; Multimedia; Data mining; Artificial intelligence","score_opus":0.05339487871147814,"score_gpt":0.34099072592544266,"score_spread":0.28759584721396453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2877520197","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":[0.0045640785,0.000027779563,0.99293494,0.00064642995,0.001213413,0.00024319824,0.0000074961595,0.00030701267,0.00005564984],"genre_scores_gemma":[0.747574,0.00001668693,0.24497703,0.0059944065,0.0007727804,0.000060996314,0.00033968812,0.000055302608,0.00020911999],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983939,0.00007427688,0.00037539846,0.0004968924,0.0002488356,0.00041067466],"domain_scores_gemma":[0.9986527,0.00008518467,0.00015787133,0.0005040674,0.00046414704,0.00013605488],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006086122,0.00020382354,0.00019939932,0.0003608557,0.0004639277,0.00040382298,0.0009507194,0.00009760476,0.000005765632],"category_scores_gemma":[0.000041067313,0.00020196261,0.00008014025,0.0008557151,0.000087181696,0.0005326855,0.0005568595,0.000062811676,0.000029216237],"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":[0.000017139426,0.00018428931,0.0072062076,0.000079138495,0.000077339726,0.000002268127,0.0022591662,0.000006089401,0.0000655563,0.8909701,0.016664706,0.082467966],"study_design_scores_gemma":[0.0004195505,0.00016107627,0.001232815,0.00008856208,0.000009592745,0.000009530416,0.000033235152,0.77803534,0.0021566998,0.004297226,0.21320409,0.00035227748],"about_ca_topic_score_codex":0.000012529634,"about_ca_topic_score_gemma":0.00006193273,"teacher_disagreement_score":0.8866729,"about_ca_system_score_codex":0.00003987633,"about_ca_system_score_gemma":0.00013261467,"threshold_uncertainty_score":0.82357967},"labels":[],"label_agreement":null},{"id":"W2889612086","doi":"10.1111/cgf.13508","title":"Collision‐Aware and Online Compression of Rigid Body Simulations via Integrated Error Minimization","year":2018,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Robotic Path Planning Algorithms","field":"Computer Science","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 Toronto","funders":"","keywords":"Computer science; Pipeline (software); Visualization; Data compression; Compression (physics); Minification; Computational science; Simulation; Computer engineering; Algorithm; Artificial intelligence","score_opus":0.02065581543110199,"score_gpt":0.2809005795100149,"score_spread":0.2602447640789129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889612086","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":[0.04199367,0.000052045652,0.9560939,0.00045287394,0.00095602666,0.00021973893,0.00004056427,0.00017531168,0.000015834523],"genre_scores_gemma":[0.6828168,0.000006718162,0.316653,0.0002758564,0.000093255905,0.0000022282356,0.000117479736,0.0000136086755,0.000021017142],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984133,0.00010252819,0.00042994358,0.00045133688,0.00031079372,0.00029209076],"domain_scores_gemma":[0.9983483,0.0002000582,0.00023381502,0.0005803404,0.00050887745,0.00012860175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001303755,0.00020672118,0.00027909913,0.00036701,0.00027209337,0.00008543194,0.0006225401,0.00013672489,0.0000037567677],"category_scores_gemma":[0.000027220218,0.00018330675,0.000058459773,0.000990056,0.00022670151,0.00037579995,0.00044827434,0.0001717262,0.000004079754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034713245,0.005525843,0.22332829,0.0006062883,0.00097079086,0.00019754028,0.013089058,0.2891779,0.0066854614,0.18491249,0.07975519,0.19540402],"study_design_scores_gemma":[0.00048559566,0.00032279736,0.012405797,0.0001476048,0.000011241684,0.000018301032,0.000013505919,0.98265773,0.00045029024,0.0021946009,0.0010999014,0.00019265995],"about_ca_topic_score_codex":0.000035935223,"about_ca_topic_score_gemma":0.000014603908,"teacher_disagreement_score":0.6934798,"about_ca_system_score_codex":0.000017481381,"about_ca_system_score_gemma":0.000059182275,"threshold_uncertainty_score":0.7475032},"labels":[],"label_agreement":null},{"id":"W2889675226","doi":"10.1111/cgf.13517","title":"HairControl: A Tracking Solution for Directable Hair Simulation","year":2018,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","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":"Université de Montréal","funders":"","keywords":"Computer science; Flexibility (engineering); Animation; Set (abstract data type); Tracking (education); GRASP; Point (geometry); Solver; Motion (physics); Position (finance); Computer graphics (images); Constraint (computer-aided design); Algorithm; Computer vision; Mathematics; Geometry","score_opus":0.02110614427321338,"score_gpt":0.24787248510228643,"score_spread":0.22676634082907304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889675226","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":[0.014678249,0.000053682754,0.98320824,0.00010954023,0.00083953753,0.0002251673,0.0000051772486,0.00055629696,0.00032411458],"genre_scores_gemma":[0.9942421,0.0000038870016,0.0049432726,0.000185171,0.00052437006,0.000016868125,0.000025875495,0.000025729778,0.000032758482],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937075,0.000010943716,0.00016920522,0.00013184722,0.00008260445,0.00023464003],"domain_scores_gemma":[0.99965876,0.000044996425,0.000029029667,0.00011267643,0.00011271218,0.000041815052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012220384,0.000102518374,0.00010483754,0.00013334659,0.00019326805,0.00007341942,0.00007208671,0.000070473216,0.000011716158],"category_scores_gemma":[0.000008571175,0.00011158917,0.00008180754,0.00013703581,0.000029205336,0.0002559271,0.000012318797,0.000063086285,0.00002484225],"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":[0.000094143754,0.0001853489,0.0034523301,0.0004211563,0.00026660436,0.000001925281,0.0021649003,0.3048837,0.011012707,0.17102365,0.05204147,0.45445207],"study_design_scores_gemma":[0.0004150465,0.000076369135,0.002024583,0.000025826832,0.0000079309975,7.5177576e-7,0.0000030963147,0.96999395,0.00042522914,0.0031645342,0.02373847,0.00012423693],"about_ca_topic_score_codex":0.0000019376034,"about_ca_topic_score_gemma":0.00003743372,"teacher_disagreement_score":0.97956383,"about_ca_system_score_codex":0.000026477126,"about_ca_system_score_gemma":0.0000047460207,"threshold_uncertainty_score":0.45504743},"labels":[],"label_agreement":null},{"id":"W2890615439","doi":"10.1111/cgf.13514","title":"Robust Physics‐based Motion Retargeting with Realistic Body Shapes","year":2018,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","field":"Engineering","cited_by":20,"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 Toronto","funders":"","keywords":"Retargeting; Computer science; Motion capture; Computer vision; Motion (physics); Robustness (evolution); Artificial intelligence; Character animation; Representation (politics); Set (abstract data type); Animation; Computer graphics (images); Computer animation","score_opus":0.020701202915509257,"score_gpt":0.20390561481021804,"score_spread":0.1832044118947088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890615439","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":[0.031946436,0.000010708895,0.9661216,0.00009662787,0.00021125205,0.00009485501,0.000004408566,0.0004150162,0.0010990865],"genre_scores_gemma":[0.9902512,0.0000023750574,0.008927929,0.00025010385,0.00045926974,0.000004770652,0.000059309208,0.000031936423,0.000013143775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992561,0.000022943761,0.00017329605,0.00017263868,0.00015664232,0.00021839731],"domain_scores_gemma":[0.99962026,0.000020051948,0.000043866246,0.00015556614,0.0001055603,0.00005471248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001165457,0.00013842493,0.000121501886,0.00009244333,0.00014871379,0.00007922102,0.000106873194,0.000051596915,0.00003972925],"category_scores_gemma":[0.0000039389197,0.00012660373,0.000051433322,0.00023019213,0.00006187393,0.00013855635,0.00001607769,0.00012200428,0.000052771997],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006070716,0.0002844779,0.01923633,0.0006504857,0.0002691132,0.000027651111,0.0012088331,0.540018,0.00330534,0.3538156,0.04044704,0.04067641],"study_design_scores_gemma":[0.00024055596,0.00010037597,0.010013056,0.00006120708,0.0000102333015,0.0000017369746,0.0000066226835,0.98680013,0.00031552117,0.0012353787,0.0010549047,0.00016029268],"about_ca_topic_score_codex":0.0000033805843,"about_ca_topic_score_gemma":0.000017872173,"teacher_disagreement_score":0.9583047,"about_ca_system_score_codex":0.000019500792,"about_ca_system_score_gemma":0.0000062048753,"threshold_uncertainty_score":0.516275},"labels":[],"label_agreement":null},{"id":"W2898922082","doi":"10.1111/cgf.13589","title":"Incremental Labelling of Voronoi Vertices for Shape Reconstruction","year":2018,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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; University of Victoria; Saint Mary's University","funders":"","keywords":"Voronoi diagram; Vertex (graph theory); Mathematics; Tangent; Outlier; Centroidal Voronoi tessellation; Curvature; Point (geometry); Medial axis; Ellipse; Boundary (topology); Sample (material); Algorithm; Computer science; Combinatorics; Geometry; Graph; Artificial intelligence; Mathematical analysis","score_opus":0.014492129277832982,"score_gpt":0.22051820559271257,"score_spread":0.2060260763148796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898922082","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":[0.46579155,0.00013747101,0.53338236,0.000026006177,0.00044408502,0.00004914415,0.0000068589297,0.000086311775,0.000076184464],"genre_scores_gemma":[0.98465997,0.000044976954,0.014997094,0.00004675278,0.00021794684,0.0000047383664,0.000008358394,0.000016433001,0.0000037285358],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941677,0.0000064111105,0.0002062512,0.00012327332,0.00007426943,0.00017301788],"domain_scores_gemma":[0.99969566,0.000027528791,0.000034275105,0.00012464526,0.00008464023,0.000033271856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010369626,0.00009078364,0.00013805117,0.0001319959,0.000081003054,0.000019485884,0.00010960236,0.000053538828,0.000012656425],"category_scores_gemma":[0.0000028002646,0.00009343395,0.00010155308,0.00015997577,0.00005609409,0.00009271286,0.000023851848,0.00005512957,0.0000041134585],"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":[0.00009280226,0.00016299782,0.033495404,0.0008023237,0.0017594341,0.0000016994948,0.0014079595,0.06119594,0.01783646,0.021340922,0.007102348,0.8548017],"study_design_scores_gemma":[0.00018751934,0.0000769526,0.0001167481,0.0000441345,0.000036884645,0.0000018084075,0.00002594984,0.9910791,0.0066442825,0.0013258434,0.0003563118,0.000104489205],"about_ca_topic_score_codex":0.000008745425,"about_ca_topic_score_gemma":0.000027073964,"teacher_disagreement_score":0.9298831,"about_ca_system_score_codex":0.000010905035,"about_ca_system_score_gemma":0.0000050421972,"threshold_uncertainty_score":0.38101256},"labels":[],"label_agreement":null},{"id":"W2906750803","doi":"10.1111/cgf.13889","title":"On Demand Solid Texture Synthesis Using Deep 3D Networks","year":2019,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":25,"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":"Agence Nationale de la Recherche","keywords":"Computer science; Texture synthesis; Voxel; Artificial intelligence; Computation; Deep learning; Texture memory; Generator (circuit theory); Computer vision; Algorithm; Image (mathematics); Image texture; Computer graphics; Image processing; 3D computer graphics","score_opus":0.01221113560508241,"score_gpt":0.26339567659994684,"score_spread":0.2511845409948644,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906750803","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":[0.009761763,0.00022747384,0.9870977,0.00017426528,0.0014408344,0.00040801888,0.000002292281,0.0006777512,0.00020991916],"genre_scores_gemma":[0.95454794,0.000108487715,0.041407183,0.0036305669,0.00021057104,0.000019964724,0.000007293308,0.0000496564,0.000018311242],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997319,0.00014817108,0.00047115225,0.00089361775,0.00047181165,0.0006962549],"domain_scores_gemma":[0.99775314,0.00028273542,0.0002359752,0.0013322199,0.00020285363,0.00019309412],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042636137,0.0004167899,0.000449668,0.0006681027,0.00032128475,0.00054317905,0.0016454706,0.00027635435,0.000018731316],"category_scores_gemma":[0.000011665083,0.00039399057,0.0002849928,0.0013103901,0.000072286515,0.00049286865,0.00085320824,0.0004085261,0.000026148917],"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":[0.000007822469,0.00012285946,0.0024060693,0.000026750027,0.00006771677,0.000014412719,0.000101653386,0.007248566,0.0000140964385,0.9655553,0.0015656162,0.02286912],"study_design_scores_gemma":[0.00021951614,0.00022939932,0.00078779575,0.00014468997,0.0000127030335,0.000029632723,0.0000025759357,0.96967274,0.00024173777,0.026476026,0.0016973381,0.0004858275],"about_ca_topic_score_codex":0.000013454678,"about_ca_topic_score_gemma":0.0000069043444,"teacher_disagreement_score":0.9624242,"about_ca_system_score_codex":0.00003918464,"about_ca_system_score_gemma":0.000045382138,"threshold_uncertainty_score":0.9998512},"labels":[],"label_agreement":null},{"id":"W2911014696","doi":"10.1111/cgf.13596","title":"MyEvents: A Personal Visual Analytics Approach for Mining Key Events and Knowledge Discovery in Support of Personal Reminiscence","year":2019,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","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":"FP7 Information and Communication Technologies; Engineering and Physical Sciences Research Council; Horizon 2020 Framework Programme; European Commission; Queen's University; Queen's University Belfast","keywords":"Reminiscence; Event (particle physics); Recall; Computer science; Analytics; Human–computer interaction; Process (computing); Visual analytics; Data science; Visualization; World Wide Web; Psychology; Artificial intelligence; Cognitive psychology","score_opus":0.022680003278810264,"score_gpt":0.2931121402544004,"score_spread":0.27043213697559015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911014696","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":[0.08157194,0.00007980756,0.91732097,0.00016209189,0.00030629477,0.00029985048,0.000055322886,0.000032179156,0.00017151922],"genre_scores_gemma":[0.9692354,0.000040561445,0.029557029,0.00058390404,0.000057299523,0.00001034646,0.00013477339,0.000019642799,0.00036104684],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99814165,0.000057455134,0.0004533002,0.0005984566,0.00033119202,0.0004179657],"domain_scores_gemma":[0.9991367,0.00013838884,0.00019647856,0.00027806137,0.00013658754,0.000113784896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005168088,0.00022373494,0.0003734408,0.0004332473,0.00007809103,0.00013309527,0.0006174078,0.00010435598,0.0000033984131],"category_scores_gemma":[0.000021903543,0.0002212769,0.0001532121,0.00076453737,0.00009357968,0.0007621462,0.0005538756,0.00013774271,0.0000025778686],"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":[0.00013483441,0.0021822378,0.6339441,0.0011268236,0.00028354325,0.000012027796,0.012768506,0.00021355956,0.000119924814,0.32707125,0.0109103825,0.011232854],"study_design_scores_gemma":[0.0010501683,0.00041262998,0.0062971185,0.00008411153,0.000015651643,0.000014074303,0.00026341033,0.9892535,0.000031687123,0.0004543494,0.0018465917,0.00027666945],"about_ca_topic_score_codex":0.0000046550394,"about_ca_topic_score_gemma":0.000008729972,"teacher_disagreement_score":0.98903996,"about_ca_system_score_codex":0.00002767903,"about_ca_system_score_gemma":0.0001675697,"threshold_uncertainty_score":0.90234107},"labels":[],"label_agreement":null},{"id":"W2912317155","doi":"10.1111/cgf.13599","title":"LSMAT Least Squares Medial Axis Transform","year":2019,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","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":"University of Waterloo; University of Victoria","funders":"","keywords":"Medial axis; Distance transform; Set (abstract data type); Parallelizable manifold; Inscribed figure; Optimization problem; Least-squares function approximation; Computational geometry","score_opus":0.007884085111547104,"score_gpt":0.23539246465790398,"score_spread":0.2275083795463569,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912317155","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":[0.0058816443,0.00018612384,0.9848399,0.003982379,0.0025521857,0.00025601525,0.000003367934,0.0003782535,0.0019200941],"genre_scores_gemma":[0.8961399,0.00009151505,0.09798199,0.0052270466,0.0002498992,0.000012448428,0.000011331164,0.00003574032,0.00025008377],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981523,0.00003453944,0.00029276335,0.00054537196,0.00041275064,0.0005622681],"domain_scores_gemma":[0.99882436,0.000086886605,0.00007398527,0.0007440479,0.000093642084,0.00017710014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017110856,0.00023279544,0.00025317213,0.0002708485,0.0001658529,0.00021471623,0.0012234587,0.00007827527,0.000034511802],"category_scores_gemma":[0.0000049798487,0.00020857013,0.00019661848,0.00058238354,0.00007480394,0.0010455609,0.00034894614,0.0002803137,0.00027680036],"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":[0.000015649779,0.00010722597,0.005021068,0.00005162799,0.000030477568,0.000022836377,0.00092675415,0.00012768274,0.0002730702,0.52859956,0.0073967054,0.45742732],"study_design_scores_gemma":[0.001244776,0.00032539494,0.0028297028,0.00009678978,0.000005319952,0.00005811492,0.000048239443,0.8061653,0.0010152837,0.0488541,0.1387636,0.00059341296],"about_ca_topic_score_codex":0.000006869675,"about_ca_topic_score_gemma":0.0000099672025,"teacher_disagreement_score":0.8902583,"about_ca_system_score_codex":0.000021503922,"about_ca_system_score_gemma":0.000041432195,"threshold_uncertainty_score":0.8505243},"labels":[],"label_agreement":null},{"id":"W2917335833","doi":"10.1111/cgf.13604","title":"Appearance Modelling of Living Human Tissues","year":2019,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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 Waterloo","funders":"Engineering and Physical Sciences Research Council; Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Computer graphics; Computer science; Graphics; Fidelity; Human–computer interaction; Artificial intelligence; Human body; Data science; Computer graphics (images)","score_opus":0.026440899736892013,"score_gpt":0.273279879340333,"score_spread":0.24683897960344098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917335833","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":[0.030716483,0.00037506784,0.96731555,0.000083691506,0.00048212826,0.00025556347,0.0000014781635,0.0004556628,0.00031438557],"genre_scores_gemma":[0.9605028,0.000076836586,0.038962267,0.00032058364,0.000062160834,0.0000071300406,0.0000020356872,0.000021892329,0.000044290842],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99811846,0.00007021151,0.00048445712,0.00055410987,0.00038833544,0.00038440558],"domain_scores_gemma":[0.9983324,0.00011452077,0.00023971964,0.0009936118,0.0002311684,0.00008860872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038469856,0.00023027517,0.00034843088,0.00050567556,0.00014665937,0.00017528064,0.0014623085,0.000111465204,0.000007649024],"category_scores_gemma":[0.0000042389993,0.00023909622,0.00019783372,0.0009475048,0.000067937304,0.00052437774,0.0008005165,0.00019603125,0.0000126014775],"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":[7.90619e-7,0.00007181001,0.009877422,0.000064086635,0.000021829954,0.0000014969515,0.00034244295,0.00079419476,0.00007249822,0.9863617,0.00037313625,0.0020186296],"study_design_scores_gemma":[0.00009228838,0.00023039324,0.0010121712,0.00049353216,0.0000036366675,0.0000059244962,0.000005805788,0.9559082,0.0009203645,0.039301045,0.0017296154,0.0002970265],"about_ca_topic_score_codex":0.00003966363,"about_ca_topic_score_gemma":0.0000040884943,"teacher_disagreement_score":0.955114,"about_ca_system_score_codex":0.000011321666,"about_ca_system_score_gemma":0.000027694916,"threshold_uncertainty_score":0.9750061},"labels":[],"label_agreement":null},{"id":"W2947464908","doi":"10.1111/cgf.14020","title":"Learning Generative Models of 3D Structures","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":65,"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":"China National Funds for Distinguished Young Scientists; National Natural Science Foundation of China","keywords":"Computer science; Generative grammar; Computer graphics; Generative model; Artificial intelligence; Probabilistic logic; Graphics; Generative Design; Rendering (computer graphics); Human–computer interaction; Computer graphics (images)","score_opus":0.01917956591427749,"score_gpt":0.20578670276246566,"score_spread":0.18660713684818817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947464908","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":[0.07356094,0.0003418667,0.9254529,0.00014446815,0.00008225534,0.000028815997,0.0000043219147,0.00018113418,0.00020331123],"genre_scores_gemma":[0.9872455,0.00007122214,0.012299736,0.00024206575,0.00010383555,0.0000013337107,0.000011930249,0.000020031355,0.0000043218965],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941564,0.000016215106,0.0001671789,0.00013395734,0.000113404734,0.00015361169],"domain_scores_gemma":[0.9997551,0.000016032349,0.000026343745,0.00009294129,0.000045984714,0.000063585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003229682,0.000112496666,0.00018700254,0.00007710776,0.00005073629,0.000020286803,0.00012985198,0.000053263644,0.0000065298464],"category_scores_gemma":[0.0000027453225,0.000107962005,0.00009798256,0.00023562084,0.000023136337,0.00006957717,0.0000458842,0.00019498986,0.0000020654509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000013136488,0.0000022768506,0.00021844322,0.000025680954,0.00008380688,0.0000013294664,0.0006284499,0.9888187,0.0001914471,0.0057462966,0.00052056066,0.0037617024],"study_design_scores_gemma":[0.00009621464,0.000041965628,0.000020862686,0.000008405825,0.000019033156,5.764141e-7,0.000031570562,0.99405324,0.0006397152,0.0048140516,0.0001619771,0.00011240012],"about_ca_topic_score_codex":0.0000039955535,"about_ca_topic_score_gemma":0.0000020014584,"teacher_disagreement_score":0.9136846,"about_ca_system_score_codex":0.000004219536,"about_ca_system_score_gemma":0.0000055416035,"threshold_uncertainty_score":0.4402563},"labels":[],"label_agreement":null},{"id":"W2950854424","doi":"10.1111/cgf.13878","title":"RodSteward: A Design‐to‐Assembly System for Fabrication using 3D‐Printed Joints and Precision‐Cut Rods","year":2019,"lang":"en","type":"preprint","venue":"Computer Graphics Forum","topic":"Additive Manufacturing and 3D Printing Technologies","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":"Rod; Fabrication; Interface (matter); 3d printed; Computer science; Context (archaeology); Engineering drawing; Focus (optics); Visualization; Mechanical engineering; Engineering; Manufacturing engineering; Artificial intelligence; Optics; Physics; Parallel computing","score_opus":0.03594553437422975,"score_gpt":0.255515134118417,"score_spread":0.21956959974418722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950854424","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":[0.092427164,0.00027539043,0.90067995,0.000085678934,0.0026607087,0.0017554329,0.00007592889,0.0020004862,0.000039245937],"genre_scores_gemma":[0.7882374,0.000048819686,0.21117902,0.000034738587,0.00018707196,0.00014352587,0.000041881325,0.00011420167,0.000013327898],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99762326,0.000069210735,0.0005515033,0.00086245075,0.00024408623,0.00064950576],"domain_scores_gemma":[0.9980072,0.0003526503,0.00020174845,0.0010706157,0.00025116652,0.0001166586],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005350441,0.0005806595,0.0006932345,0.00076913164,0.00018802802,0.0002578352,0.00069959246,0.0006184802,9.4595975e-7],"category_scores_gemma":[0.000099988516,0.00060150714,0.00021010995,0.0002335044,0.00006014736,0.00008845496,0.0018308636,0.0006917402,0.00001352363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012145476,0.00009480305,0.0015187279,0.0057983343,0.0014835462,0.00001661144,0.000792585,0.76448494,0.0012374597,0.006632699,0.010898443,0.20692039],"study_design_scores_gemma":[0.00032398195,0.00010501474,0.001661897,0.001451015,0.000105811465,0.00002072736,0.00005400089,0.96506643,0.02598479,0.0028059757,0.0016672639,0.0007531033],"about_ca_topic_score_codex":0.000018365574,"about_ca_topic_score_gemma":0.0000034268517,"teacher_disagreement_score":0.69581026,"about_ca_system_score_codex":0.00017218506,"about_ca_system_score_gemma":0.000043793763,"threshold_uncertainty_score":0.9996436},"labels":[],"label_agreement":null},{"id":"W2959416902","doi":"10.1111/cgf.13715","title":"Segmentifier: Interactive Refinement of Clickstream Data","year":2019,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","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":"University of British Columbia","funders":"Mitacs","keywords":"Computer science; Clickstream; Visual analytics; Glyph (data visualization); Process (computing); Data mining; Visualization; Path (computing); Set (abstract data type); Downstream (manufacturing); Human–computer interaction; Theoretical computer science; Programming language; The Internet; World Wide Web","score_opus":0.02750749594206824,"score_gpt":0.30023123754657277,"score_spread":0.2727237416045045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2959416902","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":[0.0035287226,0.000041154148,0.9932504,0.00059562095,0.0010765782,0.000164115,0.00007835639,0.00009145503,0.0011735895],"genre_scores_gemma":[0.91291666,0.0003228543,0.080013484,0.0044929907,0.00014792441,0.000005931082,0.0012434322,0.00003511321,0.00082158356],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985898,0.00004461952,0.00033855278,0.0004977706,0.00030078462,0.00022847566],"domain_scores_gemma":[0.99750763,0.00006525444,0.000196674,0.002030012,0.0001301064,0.000070344715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025559342,0.00013363479,0.00020195938,0.00035282588,0.00004682078,0.000126396,0.0022431507,0.000045245262,0.00003499851],"category_scores_gemma":[0.000008954888,0.00012395279,0.00006588809,0.0008340844,0.000041950443,0.0007421398,0.0023441142,0.00011100151,0.00007843611],"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":[0.00001075824,0.00047873627,0.019723497,0.000091193586,0.00021569805,0.000007177589,0.00032924657,0.0000900134,0.00017669224,0.7581897,0.17910862,0.041578677],"study_design_scores_gemma":[0.00048944564,0.00016538595,0.0013076463,0.0000721043,0.000012784281,0.00000523213,0.000035778776,0.8874493,0.00069436285,0.0025921238,0.10696098,0.00021484887],"about_ca_topic_score_codex":0.000018397359,"about_ca_topic_score_gemma":0.000011995935,"teacher_disagreement_score":0.9132369,"about_ca_system_score_codex":0.000009705497,"about_ca_system_score_gemma":0.00004173043,"threshold_uncertainty_score":0.50546485},"labels":[],"label_agreement":null},{"id":"W2962360497","doi":"10.1111/cgf.13832","title":"Towards Robust Direction Invariance in Character Animation","year":2019,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","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":"Simon Fraser University","funders":"","keywords":"Character animation; Gravitational singularity; Animation; Singularity; Invariant (physics); Robustness (evolution); Rotation (mathematics); Conic section; Kinematics","score_opus":0.012431010041685266,"score_gpt":0.1976056556761839,"score_spread":0.18517464563449865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962360497","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":[0.7347207,0.000053612122,0.25710046,0.00030276334,0.0019232067,0.0002994566,0.0000034699128,0.00046311913,0.005133203],"genre_scores_gemma":[0.9984002,0.000035939138,0.0011364925,0.00020286832,0.00010318243,0.000008038324,0.0000295134,0.000017100492,0.00006666186],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994459,0.000015930795,0.00016453036,0.00012574921,0.000094045245,0.00015382218],"domain_scores_gemma":[0.99979603,0.0000079645015,0.000024278765,0.00011945572,0.000024807985,0.000027479955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010152363,0.000092212715,0.00010040678,0.00019732049,0.000025198548,0.00005084544,0.00007391632,0.00006938679,0.000063494146],"category_scores_gemma":[0.0000018102678,0.00010063072,0.000037914924,0.00024433972,0.0000075028056,0.00031691542,0.00001820193,0.00013806154,0.00015850205],"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":[0.00004061585,0.00030396614,0.13155198,0.0008958131,0.000118613185,0.000014414634,0.0029952584,0.14176361,0.011791521,0.5452635,0.017211774,0.14804892],"study_design_scores_gemma":[0.0002624718,0.000026645961,0.22817959,0.000052720043,0.000001544744,0.0000024908081,0.0000068497034,0.7627502,0.00019683583,0.00081460044,0.007574037,0.00013198385],"about_ca_topic_score_codex":0.000005549298,"about_ca_topic_score_gemma":0.000033653007,"teacher_disagreement_score":0.62098664,"about_ca_system_score_codex":0.000039192793,"about_ca_system_score_gemma":0.000004777881,"threshold_uncertainty_score":0.4103602},"labels":[],"label_agreement":null},{"id":"W2962748714","doi":"10.1111/cgf.13804","title":"SiamesePointNet: A Siamese Point Network Architecture for Learning 3D Shape Descriptor","year":2019,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":20,"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":"National Natural Science Foundation of China","keywords":"Shape context; Artificial intelligence; Transformation (genetics); Computer science; Pattern recognition (psychology); Constraint (computer-aided design); Matching (statistics); Feature (linguistics); Context (archaeology); Shape analysis (program analysis); Benchmark (surveying); Heat kernel signature; Point (geometry); Geometric transformation; Mathematics; Computer vision; Active shape model; Image (mathematics); Geometry; Segmentation","score_opus":0.0070190286445891165,"score_gpt":0.19255489606152285,"score_spread":0.18553586741693373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962748714","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":[0.057257075,0.0008261111,0.9394875,0.00029863103,0.00083767815,0.00031095362,0.0000072701,0.0006384053,0.00033635212],"genre_scores_gemma":[0.96174735,0.000057161345,0.036496397,0.0006875346,0.00059603155,0.000035908273,0.000061002604,0.00011697285,0.00020164097],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983869,0.000033102733,0.00031995517,0.00037366847,0.00018746378,0.00069889496],"domain_scores_gemma":[0.99926895,0.00011149833,0.00005563972,0.0003579226,0.00007346932,0.00013254482],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024291857,0.00030470258,0.00039281556,0.0002213758,0.00015180597,0.000112972666,0.0002979198,0.00015911735,0.000051792096],"category_scores_gemma":[0.000010269969,0.0002930269,0.00038048095,0.00041899135,0.000030787636,0.00009654408,0.00009053082,0.0004943629,0.00005050861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013481933,0.000015280562,0.002767068,0.00010969957,0.00020030928,0.0000029804785,0.000227269,0.965804,0.000087583045,0.0013472748,0.0076090945,0.021815993],"study_design_scores_gemma":[0.0004024895,0.0001304577,0.000110292625,0.00009692048,0.000041730626,0.000008054922,0.00002600134,0.971104,0.000019768318,0.0036414478,0.02406182,0.00035699984],"about_ca_topic_score_codex":0.000005332898,"about_ca_topic_score_gemma":0.000017190972,"teacher_disagreement_score":0.9044903,"about_ca_system_score_codex":0.000027682718,"about_ca_system_score_gemma":0.000014370066,"threshold_uncertainty_score":0.9999522},"labels":[],"label_agreement":null},{"id":"W2964977804","doi":"10.1111/cgf.13652","title":"A Survey on Gradient‐Domain Rendering","year":2019,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"McGill University","funders":"","keywords":"Rendering (computer graphics); Path tracing; Computer science; Global illumination; Monte Carlo method; Ray tracing (physics); Computer vision; Artificial intelligence; 3D rendering; Computer graphics (images); Algorithm; Mathematics","score_opus":0.024430941743006005,"score_gpt":0.2701288832930775,"score_spread":0.2456979415500715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964977804","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":[0.044583593,0.00007245562,0.95170724,0.00031942342,0.0016085206,0.0003590164,0.00000874835,0.00082651945,0.000514507],"genre_scores_gemma":[0.9796659,0.00004925489,0.016962998,0.0030606238,0.000088537454,0.000017680328,0.00004202396,0.00003886323,0.00007413367],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974373,0.00019841286,0.00041450505,0.00085633394,0.00050076493,0.0005927128],"domain_scores_gemma":[0.99788463,0.0002115755,0.0001639937,0.0013853671,0.0001796137,0.00017484676],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007381756,0.00032691576,0.00033356977,0.00072445854,0.00019774942,0.00041061852,0.0016890509,0.00013562622,0.000008831024],"category_scores_gemma":[0.000008196123,0.00032123274,0.00021203439,0.001592321,0.00005294286,0.0003933227,0.00084679946,0.00030957366,0.00007786655],"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":[0.0000054428565,0.000097128875,0.029304259,0.0000123101,0.000028121469,0.000007605256,0.00016180368,0.00002044899,0.000009625781,0.957743,0.0073470245,0.00526322],"study_design_scores_gemma":[0.00094802235,0.0012078516,0.13321795,0.00015423806,0.000004064059,0.000021324922,0.000008538895,0.6924273,0.00046808695,0.13638802,0.034106422,0.0010482281],"about_ca_topic_score_codex":0.000053096555,"about_ca_topic_score_gemma":0.000046099354,"teacher_disagreement_score":0.9350823,"about_ca_system_score_codex":0.000034774173,"about_ca_system_score_gemma":0.000045076547,"threshold_uncertainty_score":0.99992394},"labels":[],"label_agreement":null},{"id":"W2964994311","doi":"10.1111/cgf.13645","title":"Latent‐space Dynamics for Reduced Deformable Simulation","year":2019,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":85,"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; Adobe Systems","keywords":"Robustness (evolution); Computer science; Nonlinear system; Autoencoder; Function space; Dynamics (music); Space (punctuation); Algorithm; Artificial neural network; Applied mathematics; Artificial intelligence; Mathematics; Mathematical analysis","score_opus":0.011701955657402252,"score_gpt":0.24475532036459124,"score_spread":0.233053364707189,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964994311","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":[0.28761524,0.000011507876,0.7094331,0.00043698522,0.0011319184,0.0004158582,0.000017324923,0.000055553428,0.00088254386],"genre_scores_gemma":[0.99683833,0.0000017078413,0.001587953,0.00014505103,0.00028926574,0.0000164214,0.00016091089,0.000021487751,0.00093885267],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99920595,0.000012702873,0.00016677861,0.0002262159,0.00009307208,0.00029528735],"domain_scores_gemma":[0.99949884,0.00004708304,0.00008601478,0.00022042544,0.00008050756,0.00006714383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006361095,0.00013367963,0.00014677795,0.000071745155,0.00012200517,0.00005718943,0.00012223919,0.000052802807,0.00004366457],"category_scores_gemma":[4.313588e-7,0.00012595547,0.00016428214,0.00015762987,0.000017740365,0.00018042487,0.000052694366,0.00012702064,0.000029171513],"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":[0.000039345967,0.00005952523,0.016255086,0.000017942424,0.00005945245,1.08393564e-7,0.000043449687,0.4486165,0.00004134427,0.51786774,0.0030751915,0.013924291],"study_design_scores_gemma":[0.0004896358,0.00006741823,0.00028690445,0.000013662953,0.000010155902,4.34429e-7,0.00001578036,0.9755507,0.00010657228,0.015496409,0.0078078685,0.0001544557],"about_ca_topic_score_codex":0.000011566428,"about_ca_topic_score_gemma":0.0000021532226,"teacher_disagreement_score":0.7092231,"about_ca_system_score_codex":0.000015767926,"about_ca_system_score_gemma":0.000015561702,"threshold_uncertainty_score":0.51363146},"labels":[],"label_agreement":null},{"id":"W2966044784","doi":"10.1111/cgf.13770","title":"Scalable Virtual Ray Lights Rendering for Participating Media","year":2019,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Rendering (computer graphics); Computer science; Computer graphics (images); Scalability; Parallel rendering; Multimedia; Database","score_opus":0.02456706835947482,"score_gpt":0.27560302755389526,"score_spread":0.25103595919442045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966044784","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":[0.022972777,0.00010222234,0.97309023,0.00040926706,0.0019302105,0.0005387787,0.00000610888,0.0008457745,0.00010463011],"genre_scores_gemma":[0.8965369,0.000035622845,0.10148771,0.001398549,0.00026195656,0.00014558414,0.00002494461,0.000044053493,0.00006470044],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99745697,0.000068558205,0.0005417889,0.0007959805,0.000411199,0.0007255275],"domain_scores_gemma":[0.99796283,0.00039708018,0.00021058694,0.00095867814,0.00027401934,0.00019682232],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00057239167,0.00031134716,0.00037589893,0.00047442692,0.00030045767,0.00047645782,0.0013626548,0.0001577894,0.000009428705],"category_scores_gemma":[0.0000222919,0.00030377897,0.00025979066,0.0009658024,0.00005525557,0.0007056554,0.0007900221,0.00020855841,0.000022699602],"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":[0.0000050634553,0.00006489311,0.0025518583,0.000031869164,0.000033520853,0.0000021598366,0.0005413226,0.00012650363,0.00006702116,0.98087513,0.0036286716,0.012071978],"study_design_scores_gemma":[0.00057797704,0.00040327077,0.0008304557,0.000093819224,0.000008273594,0.0000059212293,0.000013594368,0.9147565,0.002141007,0.056466494,0.024252428,0.0004502968],"about_ca_topic_score_codex":0.000011030791,"about_ca_topic_score_gemma":0.000014055209,"teacher_disagreement_score":0.9244087,"about_ca_system_score_codex":0.000026856895,"about_ca_system_score_gemma":0.00006439675,"threshold_uncertainty_score":0.9999414},"labels":[],"label_agreement":null},{"id":"W2967600135","doi":"10.1111/cgf.13788","title":"Structured Regularization of Functional Map Computations","year":2019,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":46,"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":"Pointwise; Regularization (linguistics); Laplace operator; Computation; Isometry (Riemannian geometry); Algorithm; Range (aeronautics); Resolvent; Mathematics; Computer science; Operator (biology); Applied mathematics; Mathematical optimization; Artificial intelligence; Pure mathematics; Mathematical analysis","score_opus":0.006929192074449981,"score_gpt":0.18189608212026157,"score_spread":0.1749668900458116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967600135","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":[0.07689973,0.00009245113,0.92197144,0.00007438016,0.0006329209,0.000055276967,0.000009416312,0.00013054386,0.00013386348],"genre_scores_gemma":[0.9954538,0.0000062523404,0.0042135357,0.000058639456,0.000056390385,0.000001380485,0.00012684739,0.000015108872,0.000068063346],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945676,0.00000929165,0.00017372034,0.00011098193,0.00013400514,0.00011521287],"domain_scores_gemma":[0.9996781,0.000020328383,0.000030126203,0.00016178342,0.000080580976,0.000029076251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000041594598,0.000084953324,0.0001296947,0.00018076116,0.000035504963,0.000016968708,0.00008056969,0.000058397378,0.000031764914],"category_scores_gemma":[9.323401e-7,0.000087184686,0.00009499461,0.00026242755,0.000017471411,0.000063902204,0.00002212007,0.000083783314,0.00001784414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000014466139,0.000007824388,0.0032577827,0.000046200737,0.00007842283,2.0272314e-7,0.000041738,0.9715637,0.00026853988,0.021984538,0.001582393,0.001167205],"study_design_scores_gemma":[0.00016357792,0.000014911767,0.0030720872,0.000018406956,0.000016934253,0.0000011862112,0.000008249841,0.98631513,0.00016118404,0.009788024,0.00034924466,0.000091031674],"about_ca_topic_score_codex":0.0000018730825,"about_ca_topic_score_gemma":0.0000034696438,"teacher_disagreement_score":0.91855407,"about_ca_system_score_codex":0.0000086192,"about_ca_system_score_gemma":0.0000078328,"threshold_uncertainty_score":0.35552883},"labels":[],"label_agreement":null},{"id":"W2975270674","doi":"10.1111/cgf.14057","title":"Photorealistic Material Editing Through Direct Image Manipulation","year":2020,"lang":"en","type":"preprint","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Austrian Science Fund; Nvidia","keywords":"Inpainting; Computer science; Workflow; Image (mathematics); Encoder; Set (abstract data type); Process (computing); Artificial intelligence; Computer vision; Artificial neural network; Computer graphics (images); Image editing; Database","score_opus":0.038266854913736215,"score_gpt":0.2997620091923722,"score_spread":0.261495154278636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975270674","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":[0.00057607313,0.00009528825,0.9862742,0.0014174588,0.00712923,0.00082261337,0.00014881857,0.0026750804,0.0008612328],"genre_scores_gemma":[0.65551203,0.00033306706,0.33283132,0.0050183465,0.0043127937,0.00022348859,0.0015582555,0.00019460077,0.000016083362],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9954642,0.0002462331,0.0010173697,0.0017626453,0.0007820746,0.00072746084],"domain_scores_gemma":[0.9967801,0.00012258688,0.00074283965,0.0016915955,0.00043500174,0.00022787585],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00039626664,0.00079319073,0.0008442614,0.00048640097,0.00038835825,0.0020530904,0.0029700287,0.0005392774,0.000013330254],"category_scores_gemma":[0.000030074,0.00086190447,0.00053839566,0.0009396856,0.00014439713,0.0007507482,0.006587018,0.0008739057,0.000014186792],"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":[0.000007962257,0.00008932538,0.0002528807,0.0003127013,0.000108358705,0.00006842209,0.0005607294,0.00005237102,0.00006051744,0.9653999,0.030823773,0.0022630258],"study_design_scores_gemma":[0.00020508985,0.00014420912,0.00047881596,0.00026326627,0.00003378022,0.000016024751,0.0000040203995,0.6837351,0.0015822628,0.30315647,0.009614479,0.00076647574],"about_ca_topic_score_codex":0.00023037814,"about_ca_topic_score_gemma":0.000019436864,"teacher_disagreement_score":0.68368274,"about_ca_system_score_codex":0.000080068065,"about_ca_system_score_gemma":0.00014152628,"threshold_uncertainty_score":0.99938315},"labels":[],"label_agreement":null},{"id":"W2983541800","doi":"10.1111/cgf.13855","title":"Distribution Update of Deformable Patches for Texture Synthesis on the Free Surface of Fluids","year":2019,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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; École de Technologie Supérieure","funders":"","keywords":"Surface (topology); Computer science; Grid; Computation; Free surface; Texture (cosmology); Vector field; Advection; Computer vision; Artificial intelligence; Geometry; Algorithm; Mathematics; Physics; Image (mathematics); Mechanics","score_opus":0.012864707053468451,"score_gpt":0.23821736598418664,"score_spread":0.22535265893071818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983541800","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":[0.04329028,0.00009169213,0.9539962,0.0013512406,0.00037487585,0.000581167,0.0001413825,0.00013094567,0.000042260886],"genre_scores_gemma":[0.98904985,0.0001084025,0.010246203,0.00047850917,0.000029278857,0.000025527705,0.000034541852,0.000016736009,0.000010963626],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983847,0.00008126319,0.00047607397,0.0003760618,0.000359672,0.00032222536],"domain_scores_gemma":[0.99734545,0.0005579983,0.00031335815,0.0013571804,0.0003724708,0.000053543707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006592766,0.00021947963,0.000348272,0.00014633323,0.00013697406,0.00008583195,0.0018506992,0.00013001756,0.0000045842658],"category_scores_gemma":[0.000031665484,0.00015879823,0.00030003252,0.0008131322,0.00010049164,0.00026886835,0.0006005162,0.00014166266,0.0000025751629],"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":[0.000013739106,0.00009086068,0.002446894,0.00007851476,0.000046785033,1.9389718e-7,0.00007780703,0.00011671483,0.00012476237,0.98251987,0.010957197,0.0035266653],"study_design_scores_gemma":[0.00030962957,0.00047430606,0.001434344,0.00016927064,0.000015517195,0.0000024739484,0.000012554425,0.84063625,0.039849605,0.108306095,0.00853918,0.00025079717],"about_ca_topic_score_codex":0.000018973711,"about_ca_topic_score_gemma":0.0000046986884,"teacher_disagreement_score":0.94575953,"about_ca_system_score_codex":0.000016181939,"about_ca_system_score_gemma":0.00004990135,"threshold_uncertainty_score":0.6475604},"labels":[],"label_agreement":null},{"id":"W2985503493","doi":"10.1111/cgf.13885","title":"The <i>Matchstick</i> Model for Anisotropic Friction Cones","year":2019,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Dynamics and Control of Mechanical Systems","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":"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; Anisotropy; Computer graphics (images); Physics","score_opus":0.006111830727800405,"score_gpt":0.1833856553518238,"score_spread":0.17727382462402339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985503493","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":[0.021018988,0.00026237097,0.97533554,0.00032687152,0.0022480648,0.00039749383,0.000011059046,0.00018738581,0.00021223335],"genre_scores_gemma":[0.99849707,0.00007165805,0.00088684855,0.00021317626,0.00011984096,0.000044252884,0.0000063022826,0.000027397828,0.00013346644],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992995,0.000007727752,0.0001858367,0.0001287255,0.00010555482,0.00027259934],"domain_scores_gemma":[0.9995415,0.000100928155,0.000029222394,0.00023492708,0.000047429676,0.00004594523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010713462,0.00011508018,0.0001439465,0.000028606997,0.00012155607,0.00008569672,0.00020788405,0.00007325248,6.931147e-7],"category_scores_gemma":[0.0000020106647,0.00008570484,0.00012046077,0.000072740295,0.000011202693,0.00006149511,0.00003309757,0.00009083129,0.000018811037],"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":[0.000010493796,0.000010316097,0.0002443308,0.000049316797,0.000071057344,2.6049244e-7,0.000029749692,0.10326053,0.00035730252,0.8873912,0.0034766716,0.0050987387],"study_design_scores_gemma":[0.0003834494,0.000054951528,0.000048152157,0.000012844543,0.000009363043,0.0000015583661,0.00000793227,0.9556675,0.000010478686,0.028564777,0.01512867,0.000110310015],"about_ca_topic_score_codex":0.000003013568,"about_ca_topic_score_gemma":0.000025834592,"teacher_disagreement_score":0.9774781,"about_ca_system_score_codex":0.000019633497,"about_ca_system_score_gemma":0.000007298169,"threshold_uncertainty_score":0.3494942},"labels":[],"label_agreement":null},{"id":"W3034688949","doi":"10.1111/cgf.14185","title":"EMU: Efficient Muscle Simulation in Deformation Space","year":2020,"lang":"en","type":"preprint","venue":"Computer Graphics Forum","topic":"Muscle activation and electromyography studies","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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Connaught Fund; National Science Foundation","keywords":"Parallelizable manifold; Polygon mesh; Finite element method; Scalability; Computer science; Deformation (meteorology); Key (lock); Space (punctuation); Structural engineering; Simulation; Engineering; Materials science; Algorithm; Computer graphics (images); Composite material","score_opus":0.016951949144731287,"score_gpt":0.22978728702765316,"score_spread":0.2128353378829219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034688949","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":[0.29227576,0.00046241345,0.70233774,0.001261038,0.0016303387,0.0006456657,0.000017252898,0.0008339943,0.00053582265],"genre_scores_gemma":[0.9984536,0.00012294308,0.0009777371,0.00014697653,0.00013206816,0.00003697249,0.00009186178,0.0000364573,0.0000013583527],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987747,0.000029588895,0.00035766128,0.00029062072,0.00022017969,0.00032724623],"domain_scores_gemma":[0.9994555,0.000060783295,0.000080474114,0.00027382546,0.00006242163,0.00006695535],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000098746976,0.00028301158,0.00029251722,0.00050665205,0.00007188221,0.00007743387,0.00019903318,0.00020750478,0.0000036039428],"category_scores_gemma":[0.000009170351,0.00031403615,0.00016736482,0.0005833703,0.000026395006,0.00007754748,0.0002484478,0.0006212827,0.0000042735096],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040635896,0.000024118004,0.00086676434,0.0002183775,0.000053747575,0.0000018686289,0.0006775105,0.9828779,0.000024920479,0.0035622607,0.0013276258,0.010360835],"study_design_scores_gemma":[0.00021822221,0.000022057899,0.05857966,0.000094427516,0.0000099908975,3.251596e-7,0.00003204931,0.93548375,0.000045261637,0.002748327,0.0024775679,0.00028834518],"about_ca_topic_score_codex":0.000013476753,"about_ca_topic_score_gemma":0.00003260748,"teacher_disagreement_score":0.7061779,"about_ca_system_score_codex":0.00007849238,"about_ca_system_score_gemma":0.0000149074385,"threshold_uncertainty_score":0.99993116},"labels":[],"label_agreement":null},{"id":"W3036883119","doi":"10.1111/cgf.14051","title":"Practical Product Path Guiding Using Linearly Transformed Cosines","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","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":"McGill University","funders":"","keywords":"Computer science; Precomputation; Path tracing; Radiance; Ray tracing (physics); Global illumination; Path (computing); Sampling (signal processing); Product (mathematics); Algorithm; Preprocessor; Computer vision; Rendering (computer graphics); Computation; Artificial intelligence; Mathematics; Optics","score_opus":0.09495381207704867,"score_gpt":0.32781423978775237,"score_spread":0.2328604277107037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036883119","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":[0.0015666955,0.0001723557,0.9711973,0.0256778,0.0006872436,0.00023282196,0.0000019984755,0.00038931944,0.00007447221],"genre_scores_gemma":[0.2695677,0.000049358612,0.72123146,0.008721125,0.00039186736,0.0000039118627,0.0000036074778,0.000025838564,0.0000051055945],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979934,0.00006406133,0.00037188036,0.00066710706,0.00037680435,0.0005267391],"domain_scores_gemma":[0.998899,0.00008789637,0.000114260154,0.00044058586,0.0001828082,0.00027545352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019747853,0.00024050912,0.00026413568,0.00013118895,0.0002936829,0.00034135513,0.00067935686,0.00005186738,0.0000036400181],"category_scores_gemma":[0.000075915,0.0002200885,0.00014394049,0.0009830797,0.00008000905,0.0015056443,0.0003656262,0.00025807627,0.000016671705],"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":[0.00009078862,0.0004655059,0.0056605563,0.00028654703,0.00017019539,0.00045982367,0.004184406,0.0011435117,0.013700942,0.58375144,0.036875315,0.353211],"study_design_scores_gemma":[0.00038231612,0.00013007647,0.00015786715,0.000052191393,0.000008778156,0.000077622055,0.000019363662,0.96648586,0.0019456879,0.0018101514,0.028631225,0.00029886293],"about_ca_topic_score_codex":0.0000043282953,"about_ca_topic_score_gemma":6.7577656e-7,"teacher_disagreement_score":0.96534234,"about_ca_system_score_codex":0.000019804307,"about_ca_system_score_gemma":0.00011116146,"threshold_uncertainty_score":0.89749485},"labels":[],"label_agreement":null},{"id":"W3040027883","doi":"10.1111/cgf.14075","title":"Integer‐Grid Sketch Simplification and Vectorization","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":18,"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":"Fonds de recherche du Québec – Nature et technologies; European Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Vectorization (mathematics); Sketch; Bitmap; Grid; Computer science; Integer (computer science); Computer graphics (images); Vector graphics; Octree; Line (geometry); Feature (linguistics); Regular grid; Segmentation; Artificial intelligence; Algorithm; Geometry; Mathematics; Graphics; Parallel computing","score_opus":0.012733274735164501,"score_gpt":0.2093883165841645,"score_spread":0.196655041849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040027883","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":[0.0058373054,0.0001572281,0.98646414,0.006174018,0.0008973974,0.00008057222,0.0000012825508,0.0002826422,0.00010542164],"genre_scores_gemma":[0.95268464,0.000052656094,0.044701114,0.0021512716,0.00037437957,0.0000055562405,0.000012717963,0.000010363103,0.0000072920316],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991218,0.000033227036,0.00017411626,0.00036217438,0.00013257608,0.00017611406],"domain_scores_gemma":[0.9994782,0.000030348468,0.00008592269,0.0001921636,0.00010831387,0.000105028455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008953436,0.00011229937,0.0001090495,0.00009483763,0.00018254945,0.00028787,0.00031043886,0.00006297229,0.0000013346223],"category_scores_gemma":[0.000016269609,0.00010903931,0.000036407644,0.0005256815,0.000059629194,0.0005607551,0.00016607913,0.00014664745,0.000010658486],"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":[0.000009610407,0.00004203519,0.0109072495,0.00011126266,0.000031399148,0.000005281712,0.0017543549,0.00009183244,0.0007954952,0.36104995,0.007893664,0.61730784],"study_design_scores_gemma":[0.00024555298,0.000110891975,0.0029328398,0.000023027766,0.000006157903,0.0000410687,0.00001933383,0.97383595,0.0012987889,0.012221885,0.009054444,0.000210049],"about_ca_topic_score_codex":0.0000032328799,"about_ca_topic_score_gemma":0.0000012503,"teacher_disagreement_score":0.97374415,"about_ca_system_score_codex":0.000008021808,"about_ca_system_score_gemma":0.000038368824,"threshold_uncertainty_score":0.44464943},"labels":[],"label_agreement":null},{"id":"W3042281073","doi":"10.1111/cgf.13909","title":"Fast and Scalable Solvers for the Fluid Pressure Equations with Separating Solid Boundary Conditions","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Numerical Methods in Computational Mathematics","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":"Multigrid method; Computer science; Grid; Scalability; Mathematical optimization; Convergence (economics); Scaling; Complementarity (molecular biology); Applied mathematics; Boundary value problem; Boundary (topology); Computational science; Algorithm; Mathematics; Partial differential equation; Geometry; Mathematical analysis","score_opus":0.027304761025497726,"score_gpt":0.29037470315684644,"score_spread":0.2630699421313487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042281073","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":[0.0004456488,0.00039223337,0.99691415,0.0012973029,0.0001714167,0.00041358906,0.00006290313,0.00022692374,0.000075819786],"genre_scores_gemma":[0.3262006,0.000026988486,0.67218786,0.0011753278,0.00019349178,0.00012322493,0.000028778051,0.000053071595,0.000010633221],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99926203,0.00001800576,0.0001917875,0.00017171472,0.00013640907,0.00022002262],"domain_scores_gemma":[0.9982525,0.001385648,0.000045189852,0.00014158987,0.00008702073,0.000088050525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008259368,0.00014719261,0.00016616166,0.000036606045,0.0004002993,0.000095746844,0.00015128173,0.00004264332,0.00000413443],"category_scores_gemma":[0.000054946486,0.000114311435,0.000050257713,0.0002593648,0.00014615888,0.00015499878,0.00006254392,0.00016515196,0.0000021028607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008005711,0.000012794874,0.00007840609,0.00016997747,0.0001856097,8.702764e-7,0.0005124736,0.9099115,0.000098588745,0.08146207,0.0033893313,0.00417034],"study_design_scores_gemma":[0.00023713705,0.000103712366,0.000058146976,0.000030096913,0.000055650722,0.0000054551842,0.00007866339,0.95998913,0.00010420216,0.032639008,0.006552412,0.00014638748],"about_ca_topic_score_codex":4.2660744e-7,"about_ca_topic_score_gemma":0.0000013962111,"teacher_disagreement_score":0.32575494,"about_ca_system_score_codex":0.000007767765,"about_ca_system_score_gemma":0.000018736755,"threshold_uncertainty_score":0.4661485},"labels":[],"label_agreement":null},{"id":"W3042318688","doi":"10.1111/cgf.13968","title":"Ocupado: Visualizing Location‐Based Counts Over Time Across Buildings","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","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 British Columbia","funders":"","keywords":"Computer science; Human–computer interaction; Task (project management); Set (abstract data type); Space (punctuation); Visualization; Resource (disambiguation); Stakeholder; Data science; Artificial intelligence; Systems engineering","score_opus":0.023524893852769273,"score_gpt":0.3046954082164624,"score_spread":0.2811705143636931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042318688","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":[0.0004955211,0.000041261923,0.99654794,0.0019484623,0.00028210127,0.00007344489,0.000016346596,0.00030199467,0.0002929592],"genre_scores_gemma":[0.81798303,0.00003826176,0.07200929,0.10851853,0.0006609311,0.000010147933,0.0002625525,0.000082544124,0.00043470005],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99882823,0.000028216915,0.00021170176,0.00035223257,0.00029566928,0.00028397143],"domain_scores_gemma":[0.99924123,0.000040979412,0.00009021089,0.00035141438,0.0001382994,0.00013787755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013539799,0.00013987366,0.00014407301,0.00007704173,0.00015692278,0.00036588396,0.0008160634,0.00006278234,0.00003661895],"category_scores_gemma":[0.000019454184,0.00014256898,0.00007478841,0.0010520832,0.000053780153,0.00036467332,0.00035114976,0.00010942513,0.000434376],"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":[0.0000051615352,0.000100299934,0.0033176027,0.000072601026,0.000048011334,0.000016290234,0.0005543079,0.0003847901,0.000098474775,0.673526,0.3087439,0.013132583],"study_design_scores_gemma":[0.00020937613,0.000037608756,0.00024603787,0.000020183359,0.0000034826026,0.0000011175258,0.0000026836306,0.8224728,0.00012473985,0.00058231596,0.17613919,0.0001604537],"about_ca_topic_score_codex":0.0000027174822,"about_ca_topic_score_gemma":6.7084295e-7,"teacher_disagreement_score":0.9245386,"about_ca_system_score_codex":0.000014532419,"about_ca_system_score_gemma":0.00005554682,"threshold_uncertainty_score":0.5813794},"labels":[],"label_agreement":null},{"id":"W3042634850","doi":"10.1111/cgf.13932","title":"Spectral Mesh Simplification","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":37,"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":"H2020 European Research Council; King Abdullah University of Science and Technology; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Polygon mesh; Laplace operator; Computer science; Decimation; Laplacian smoothing; Geometry processing; Operator (biology); Algorithm; Eigenvalues and eigenvectors; Spectral geometry; Mesh generation; Topology (electrical circuits); Mathematics; Computer graphics (images); Computer vision; Geometry; Mathematical analysis; Finite element method","score_opus":0.027770057144204087,"score_gpt":0.27252208439519376,"score_spread":0.24475202725098968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042634850","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":[0.0014690546,0.00008299272,0.98836523,0.0077413595,0.00040177171,0.00024666486,0.0000034077686,0.0014164009,0.00027310848],"genre_scores_gemma":[0.92259127,0.00009808293,0.062215462,0.0146637745,0.00035336544,0.000019468544,0.0000225471,0.000027379598,0.0000086224545],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981109,0.00006737427,0.00038595058,0.0006728887,0.00035261564,0.00041030752],"domain_scores_gemma":[0.9986902,0.00005453002,0.00014328252,0.00066683,0.00016743057,0.00027773497],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016913729,0.00024102608,0.0002347533,0.00023852491,0.00020920087,0.000412797,0.0015820347,0.00010390185,0.000007863628],"category_scores_gemma":[0.00001024483,0.00024676984,0.00019531934,0.0014671427,0.000063485895,0.00055486517,0.0006191132,0.00023383427,0.000034222423],"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":[0.0000021971885,0.000038815695,0.0012851886,0.000012323439,0.00001742155,0.000006300204,0.0003020694,0.000008975338,0.000051704683,0.9727047,0.016717363,0.008852925],"study_design_scores_gemma":[0.00023848555,0.00028151835,0.0020010502,0.000012351772,0.0000051237876,0.000011158976,0.000005102912,0.88737243,0.0014549432,0.06940875,0.03886047,0.0003486288],"about_ca_topic_score_codex":0.0000058724263,"about_ca_topic_score_gemma":0.0000022209479,"teacher_disagreement_score":0.9261498,"about_ca_system_score_codex":0.000014828409,"about_ca_system_score_gemma":0.000047785565,"threshold_uncertainty_score":0.99999845},"labels":[],"label_agreement":null},{"id":"W3042928929","doi":"10.1111/cgf.13935","title":"Stratified Markov Chain Monte Carlo Light Transport","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"McGill University","funders":"Japan Society for the Promotion of Science","keywords":"Markov chain Monte Carlo; Pixel; Markov chain; Computer science; Algorithm; Rendering (computer graphics); Sampling (signal processing); Monte Carlo method; Artificial intelligence; Global illumination; Computer vision; Mathematics; Statistics; Machine learning","score_opus":0.01805258638980939,"score_gpt":0.24416036461838675,"score_spread":0.22610777822857736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042928929","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":[0.003993717,0.00021476556,0.9835037,0.009385253,0.00062440074,0.00042427334,0.000010875313,0.0014770679,0.0003659716],"genre_scores_gemma":[0.95567065,0.00011754443,0.03296191,0.010815941,0.00030917974,0.000034702593,0.000015080832,0.000043819113,0.00003119285],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971729,0.00009916962,0.0006224061,0.00095811527,0.00054161844,0.0006058142],"domain_scores_gemma":[0.99823344,0.00005392338,0.00018662687,0.00087830756,0.00022120653,0.00042647653],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027952765,0.00041309764,0.00043256296,0.0003393416,0.00027373078,0.00032438932,0.0020219972,0.00018782422,0.000008799751],"category_scores_gemma":[0.0000060841535,0.0004135733,0.00035036763,0.0016894853,0.00007391503,0.0006153681,0.00047366886,0.00038384853,0.0000116364645],"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":[0.00001005398,0.00009227931,0.0030638962,0.000048159938,0.00006167183,0.00006291062,0.0011574182,0.000037344435,0.000058120662,0.9691296,0.015247421,0.011031129],"study_design_scores_gemma":[0.00054754934,0.00050605845,0.002390922,0.000047700192,0.000014248542,0.00001744698,0.000014921183,0.932657,0.00115943,0.010916549,0.05103954,0.0006886316],"about_ca_topic_score_codex":0.000025063426,"about_ca_topic_score_gemma":0.000027593629,"teacher_disagreement_score":0.95821303,"about_ca_system_score_codex":0.00001646259,"about_ca_system_score_gemma":0.00008729991,"threshold_uncertainty_score":0.9998316},"labels":[],"label_agreement":null},{"id":"W3043056138","doi":"10.1111/cgf.13936","title":"An Efficient Transport Estimator for Complex Layered Materials","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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; Université de Montréal","funders":"","keywords":"Precomputation; Computer science; Rendering (computer graphics); Global illumination; Estimator; Reflectivity; Sampling (signal processing); Algorithm; Importance sampling; Scattering; Computer vision; Optics; Computation; Mathematics; Statistics; Monte Carlo method; Physics","score_opus":0.041854429626737466,"score_gpt":0.3019196694565255,"score_spread":0.260065239829788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043056138","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":[0.011046075,0.000028369826,0.9837593,0.0022407148,0.00057705515,0.0008121069,0.00008228781,0.0014354178,0.000018699166],"genre_scores_gemma":[0.78622484,0.0000089160685,0.20806918,0.0052376706,0.00022058506,0.000069634814,0.00012853854,0.00003927945,0.0000013744717],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997432,0.00008327153,0.0006221552,0.00091555587,0.00037311425,0.00057390594],"domain_scores_gemma":[0.9982164,0.00007682626,0.00020147613,0.00080579467,0.00028945453,0.0004100526],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033827513,0.0003651232,0.0004673037,0.00026290884,0.00036943489,0.0003994355,0.0019027913,0.00014263047,0.000011876997],"category_scores_gemma":[0.0000073373494,0.00036738423,0.00023326994,0.0008484573,0.000088373585,0.00036025295,0.0002618499,0.00012733025,0.000006918013],"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":[0.000021310552,0.00017080907,0.00041449323,0.00007455385,0.00003400332,0.000008389718,0.00044203564,0.0003870992,0.0014376007,0.9901437,0.0041211345,0.0027448745],"study_design_scores_gemma":[0.0006414242,0.00075598015,0.001667967,0.000023927843,0.000011297296,0.000009212697,0.0000067792344,0.9666936,0.004740015,0.010294648,0.0146785565,0.00047663876],"about_ca_topic_score_codex":0.000010775954,"about_ca_topic_score_gemma":0.0000032139062,"teacher_disagreement_score":0.97984904,"about_ca_system_score_codex":0.0000145855975,"about_ca_system_score_gemma":0.00006984104,"threshold_uncertainty_score":0.9998778},"labels":[],"label_agreement":null},{"id":"W3043404646","doi":"10.1111/cgf.13980","title":"Structure and Empathy in Visual Data Storytelling: Evaluating their Influence on Attitude","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Participatory Visual Research Methods","field":"Social Sciences","cited_by":55,"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":"Storytelling; Empathy; Visualization; Narrative; Computer science; Psychology; Empirical research; Social psychology; Artificial intelligence","score_opus":0.5722748978192305,"score_gpt":0.5909452631265427,"score_spread":0.018670365307312253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043404646","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":[0.99034125,0.00021563054,0.007318026,0.0015304968,0.00015175928,0.0003044831,0.000019691735,0.000063336534,0.00005535915],"genre_scores_gemma":[0.9948499,0.000059230766,0.002722088,0.0021184618,0.0002193317,0.000005168937,0.000009093805,0.00001454878,0.000002174311],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968605,0.0011443935,0.00024066043,0.000551923,0.00065150135,0.00055101106],"domain_scores_gemma":[0.998414,0.00073486887,0.00007685152,0.0003446942,0.0000912467,0.00033838305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025010519,0.00015229653,0.00021825712,0.00013141046,0.0003765915,0.00015555182,0.00084979244,0.00011557625,0.000012560014],"category_scores_gemma":[0.0011228798,0.00014077115,0.00003024429,0.0006577928,0.0004122092,0.0003860253,0.0006245849,0.0005122581,0.000005259787],"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":[0.00025385362,0.00026562015,0.6306489,0.00015368247,0.000118191216,0.00007803423,0.11908235,0.0025946,0.0024601289,0.092232704,0.0012591135,0.15085278],"study_design_scores_gemma":[0.0008432778,0.0009713624,0.13337915,0.00014334645,0.000014843126,9.394056e-7,0.0026063034,0.8407729,0.00046115092,0.009603514,0.010675734,0.00052746176],"about_ca_topic_score_codex":0.0001305007,"about_ca_topic_score_gemma":0.00055882457,"teacher_disagreement_score":0.83817834,"about_ca_system_score_codex":0.000038784467,"about_ca_system_score_gemma":0.00022758986,"threshold_uncertainty_score":0.5740481},"labels":[],"label_agreement":null},{"id":"W3043711077","doi":"10.1111/cgf.13908","title":"Local Bases for Model‐reduced Smoke Simulations","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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; Université de Montréal","funders":"","keywords":"Basis (linear algebra); Computer science; Overhead (engineering); Simple (philosophy); Basis function; Projection (relational algebra); Vector field; Algorithm; Domain (mathematical analysis); Flow (mathematics); Reduction (mathematics); Heuristic; Computational science; Mathematical optimization; Geometry; Artificial intelligence; Mathematics; Mathematical analysis","score_opus":0.05717460413843513,"score_gpt":0.3090975049910408,"score_spread":0.25192290085260566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043711077","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":[0.0015889732,0.000062372994,0.99129874,0.0050255796,0.00032107206,0.00053705403,0.00004256459,0.0010858332,0.000037817095],"genre_scores_gemma":[0.8618899,0.000017844659,0.124378525,0.013440304,0.0001425008,0.000042097505,0.000050416158,0.00003182932,0.0000066084344],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99796265,0.000046573197,0.00045643008,0.0007413059,0.0003160356,0.00047698407],"domain_scores_gemma":[0.99839395,0.000191786,0.00014242962,0.0006280025,0.00034790245,0.00029593497],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000142445,0.00029375756,0.00030638938,0.0002977963,0.0003560636,0.00033754617,0.0013273354,0.0001326926,0.0000033248227],"category_scores_gemma":[0.000020215179,0.00030532107,0.0002923249,0.0011108482,0.0000957019,0.0005413817,0.00063231884,0.0001801827,0.000003010304],"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":[0.0000066278635,0.000067020854,0.00019904962,0.000029077208,0.000028984728,0.0000018551035,0.0002511577,0.010986069,0.000036722304,0.96817183,0.012099094,0.008122499],"study_design_scores_gemma":[0.00038620364,0.00028323408,0.000067813104,0.000018221388,0.000010226351,0.0000026902078,0.000004039781,0.90399206,0.0012861174,0.08229425,0.0113126775,0.00034249332],"about_ca_topic_score_codex":0.0000070169276,"about_ca_topic_score_gemma":0.0000057866123,"teacher_disagreement_score":0.89300597,"about_ca_system_score_codex":0.000018600085,"about_ca_system_score_gemma":0.00010807899,"threshold_uncertainty_score":0.9999399},"labels":[],"label_agreement":null},{"id":"W3044592780","doi":"10.1111/cgf.14055","title":"Practical Measurement and Reconstruction of Spectral Skin Reflectance","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","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 British Columbia","funders":"Engineering and Physical Sciences Research Council; Norges Forskningsråd","keywords":"Computer science; Multispectral image; Artificial intelligence; Rendering (computer graphics); Computer vision; Reflectivity; Lookup table; Spectral imaging; Optics; Physics","score_opus":0.04933633829237967,"score_gpt":0.3225463171614509,"score_spread":0.2732099788690712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044592780","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":[0.21134306,0.0003661379,0.7228358,0.061786957,0.00024678098,0.0004446,0.0000029670616,0.00033982523,0.002633857],"genre_scores_gemma":[0.8441046,0.00010308653,0.15433615,0.0013339826,0.000107128675,0.0000024777682,0.0000010295026,0.000009209971,0.0000023560583],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99920374,0.000021678661,0.00018820142,0.00020309279,0.0002215193,0.0001617806],"domain_scores_gemma":[0.9995557,0.000020297963,0.000053280877,0.00012066825,0.00011879995,0.00013122756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013214811,0.000089772904,0.0002091504,0.00005499402,0.00003215942,0.000014834062,0.00003418721,0.000051846662,0.000006030556],"category_scores_gemma":[0.000051478673,0.000079546044,0.000060664275,0.0001686625,0.00014513542,0.00006793444,0.000034251352,0.0002351081,0.0000012192714],"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":[0.0011220739,0.0006899425,0.10846515,0.0009092821,0.00048413538,0.0001450651,0.0007336325,0.0000012023085,0.12812497,0.66358835,0.04059633,0.055139896],"study_design_scores_gemma":[0.0056328312,0.013208209,0.062226918,0.0014465388,0.0006467357,0.0025033553,0.00024284983,0.23388228,0.6062165,0.05800163,0.014756868,0.0012352793],"about_ca_topic_score_codex":0.0000033494248,"about_ca_topic_score_gemma":0.0000018707323,"teacher_disagreement_score":0.63276154,"about_ca_system_score_codex":0.000018481365,"about_ca_system_score_gemma":0.00004021912,"threshold_uncertainty_score":0.32437935},"labels":[],"label_agreement":null},{"id":"W3049160747","doi":"10.1111/cgf.14070","title":"A Simple Discretization of the Vector Dirichlet Energy","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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 Toronto","funders":"Massachusetts Department of Fish and Game; National Science Foundation","keywords":"Discretization; Mathematics; Dirichlet boundary condition; Dirichlet distribution; Covariant transformation; Scalar (mathematics); Dirichlet's energy; Dirichlet eigenvalue; Applied mathematics; Mathematical analysis; Boundary value problem; Geometry; Dirichlet's principle","score_opus":0.008566806823070995,"score_gpt":0.18035579010955274,"score_spread":0.17178898328648176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049160747","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":[0.016259834,0.00015858894,0.9823903,0.00080644933,0.0001212907,0.000023070032,0.000013095622,0.0001096531,0.000117749536],"genre_scores_gemma":[0.99909055,0.000033343462,0.00021069877,0.0005410725,0.00008511027,0.000001883122,0.000018095669,0.000014809788,0.0000044398034],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954253,0.00001312793,0.00013446316,0.000092570735,0.00010414445,0.000113165086],"domain_scores_gemma":[0.9997465,0.000014629016,0.000023643901,0.00014779619,0.000027304564,0.000040134342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000021669266,0.000076938246,0.00011007311,0.000033672914,0.00004129044,0.000014670942,0.00017189876,0.000034532713,0.0000039158003],"category_scores_gemma":[0.0000042395977,0.000057436646,0.000120019526,0.00041670346,0.000021017499,0.000032199834,0.000055239652,0.00006362251,0.0000015776336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006635437,0.0000366659,0.01573342,0.00012093413,0.00031964647,0.0000021141225,0.00078541803,0.8427532,0.0013874756,0.09833044,0.028648786,0.011875286],"study_design_scores_gemma":[0.00006554827,0.00001276227,0.00058071385,0.000008590832,0.000017839484,2.3012579e-7,0.000005942563,0.9938081,0.00078170566,0.0008720946,0.003776005,0.00007049563],"about_ca_topic_score_codex":0.000010546937,"about_ca_topic_score_gemma":0.000013819125,"teacher_disagreement_score":0.9828307,"about_ca_system_score_codex":0.000004118273,"about_ca_system_score_gemma":0.0000046562923,"threshold_uncertainty_score":0.23421983},"labels":[],"label_agreement":null},{"id":"W3049594084","doi":"10.1111/cgf.14084","title":"C<scp>onsistent</scp> Z<scp>oom</scp>O<scp>ut</scp>: Efficient Spectral Map Synchronization","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","field":"Engineering","cited_by":43,"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":"Synchronizing; Consistency (knowledge bases); Computer science; Synchronization (alternating current); Isometry (Riemannian geometry); Algorithm; Combinatorics; Mathematics; Artificial intelligence; Topology (electrical circuits)","score_opus":0.01099037663336245,"score_gpt":0.1934494843251837,"score_spread":0.18245910769182125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3049594084","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":[0.22547618,0.002263321,0.76704246,0.00036254764,0.0014893542,0.00035069074,0.000059844486,0.0014634717,0.0014921364],"genre_scores_gemma":[0.9928585,0.00027968144,0.0038087317,0.0011499822,0.0010602312,0.000026745089,0.000269983,0.00020654495,0.00033954883],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99588937,0.000097261145,0.0008552285,0.0009782948,0.0007877067,0.0013921157],"domain_scores_gemma":[0.9977001,0.00053137704,0.00019402975,0.00075081986,0.00023842877,0.00058524724],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00030497913,0.00075745536,0.00077901984,0.00060400204,0.0004066982,0.000412826,0.00083424454,0.000380579,0.00000691698],"category_scores_gemma":[0.00019187224,0.0008106748,0.0007269964,0.0017897214,0.00013310177,0.00021379601,0.0003307454,0.00084249745,0.00030126187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.824703e-7,0.00015896223,0.0043538613,0.00037948636,0.0006179356,0.00008524223,0.0020351205,0.89027184,0.00027196805,0.004467268,0.09626554,0.001091815],"study_design_scores_gemma":[0.00060679286,0.00014172756,0.00071958784,0.00012511468,0.00022474666,0.000018130284,0.00036626266,0.9595362,0.00083634816,0.0006411242,0.03664866,0.0001352934],"about_ca_topic_score_codex":0.000016400152,"about_ca_topic_score_gemma":0.00001921322,"teacher_disagreement_score":0.7673824,"about_ca_system_score_codex":0.00012645441,"about_ca_system_score_gemma":0.000065065295,"threshold_uncertainty_score":0.9994344},"labels":[],"label_agreement":null},{"id":"W3093753588","doi":"10.1111/cgf.14116","title":"Probabilistic Character Motion Synthesis using a Hierarchical Deep Latent Variable Model","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","field":"Engineering","cited_by":24,"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; York University","funders":"","keywords":"Computer science; Character (mathematics); Artificial intelligence; Latent variable; Latent variable model; Probabilistic logic; Variable (mathematics); Hierarchical database model; Computer graphics (images); Data mining; Mathematics; Geometry","score_opus":0.030530546644288493,"score_gpt":0.208214003848673,"score_spread":0.1776834572043845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093753588","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":[0.0819286,0.000016175762,0.9169393,0.0003652681,0.00015331806,0.00014242565,0.000006663848,0.00034248628,0.00010572802],"genre_scores_gemma":[0.98184186,0.000008114178,0.01733864,0.0005910271,0.00015702084,0.000011700888,0.000016302974,0.000032452463,0.000002865074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992102,0.000023839895,0.00021069685,0.00018893153,0.00013457533,0.00023176754],"domain_scores_gemma":[0.99967295,0.000019927053,0.000025263347,0.00012034934,0.000038403447,0.00012309541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007209681,0.00013873937,0.0001498932,0.00008500985,0.00009392297,0.00007462661,0.00011418785,0.00008316938,0.00003623055],"category_scores_gemma":[0.00001368135,0.0001429251,0.000073301664,0.00020086097,0.000025481904,0.0001785003,0.000044653392,0.00021330403,0.000029179197],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000075284365,0.000048140682,0.00023151402,0.00023851225,0.000046096953,0.0000035029252,0.00047442573,0.92016304,0.0018541206,0.07095254,0.00042415442,0.0055564214],"study_design_scores_gemma":[0.000110261644,0.000016778084,0.00064525206,0.000035935424,0.000018126713,0.0000033687768,0.0000020298892,0.99418336,0.000089737354,0.0045313304,0.00021153707,0.00015226714],"about_ca_topic_score_codex":0.0000011192959,"about_ca_topic_score_gemma":8.510289e-7,"teacher_disagreement_score":0.89991325,"about_ca_system_score_codex":0.000032748616,"about_ca_system_score_gemma":0.000009964152,"threshold_uncertainty_score":0.5828316},"labels":[],"label_agreement":null},{"id":"W3106791303","doi":"10.1111/cgf.14106","title":"Distant Collision Response in Rigid Body Simulations","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Dynamics and Control of Mechanical Systems","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":"École de Technologie Supérieure; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Collision; Computer science; Geodesic; Collision response; Rigid body; Vibration; Impulse (physics); Impulse response; Geometry; Physics; Collision detection; Mathematics; Mathematical analysis; Classical mechanics; Acoustics","score_opus":0.008457433103956798,"score_gpt":0.2059997956403351,"score_spread":0.1975423625363783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106791303","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":[0.4163447,0.00014176556,0.5804086,0.0018675352,0.0006244652,0.00025577954,0.000035522466,0.00023845922,0.00008317858],"genre_scores_gemma":[0.99918866,0.000010067662,0.00029108662,0.0003971342,0.00007073365,0.0000059114795,0.000011577584,0.000021168595,0.000003670311],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991826,0.000041471463,0.00025792312,0.00016121987,0.0001364749,0.0002203539],"domain_scores_gemma":[0.9995604,0.00012038312,0.000021317137,0.00015927582,0.000022210434,0.000116384894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012853708,0.000115418996,0.00017768417,0.000080247715,0.00004148229,0.000050835493,0.00016967983,0.00007432065,0.0000036361255],"category_scores_gemma":[0.000014623382,0.00011350944,0.00007252084,0.00035640819,0.000010504509,0.00006918197,0.000052881962,0.00015669195,0.0000126311115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051350094,0.00008741628,0.0030099887,0.0000827389,0.00008084289,0.00009535924,0.0003730559,0.776687,0.0049475934,0.20924418,0.0031124866,0.001765847],"study_design_scores_gemma":[0.00050582166,0.00011688915,0.0015514352,0.000026312231,0.0000036236659,8.9826347e-7,0.000006998665,0.98086923,0.000025497398,0.0021051327,0.014654064,0.00013406592],"about_ca_topic_score_codex":0.0000058711494,"about_ca_topic_score_gemma":0.00003048159,"teacher_disagreement_score":0.58284396,"about_ca_system_score_codex":0.000034190052,"about_ca_system_score_gemma":0.000010208544,"threshold_uncertainty_score":0.46287808},"labels":[],"label_agreement":null},{"id":"W3107930498","doi":"10.1111/cgf.14149","title":"Personalized Hand Modeling from Multiple Postures with Multi‐View Color Images","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Hand Gesture Recognition Systems","field":"Computer Science","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":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Parameterized complexity; Artificial intelligence; Fidelity; Machine learning; Pose; Deep learning; High fidelity; Computer vision; Algorithm","score_opus":0.03660836793274246,"score_gpt":0.2376908208821341,"score_spread":0.20108245294939164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107930498","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":[0.02511225,0.0011948319,0.9686754,0.0037331264,0.00039324744,0.00045441528,0.000049892966,0.00035346884,0.000033369877],"genre_scores_gemma":[0.86229575,0.000061845894,0.13175671,0.0054833423,0.0002714078,0.000040106905,0.000042138836,0.000031949294,0.00001673401],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977949,0.00014595344,0.0003624815,0.0007969373,0.00044335207,0.0004563377],"domain_scores_gemma":[0.9986532,0.0001582673,0.00014023595,0.00044173037,0.0002880144,0.0003186002],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00015004675,0.0003358565,0.0004578655,0.00011919033,0.00033345493,0.00059079874,0.0009314265,0.00012629967,0.000010203264],"category_scores_gemma":[0.000024910834,0.00026408923,0.00016764335,0.0005761693,0.00012144125,0.00048879243,0.00036556862,0.0002982747,0.000075400785],"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":[0.0025260127,0.003994201,0.1724559,0.0025752864,0.00760615,0.0033832162,0.12528297,0.056020904,0.0256902,0.12692732,0.08443084,0.389107],"study_design_scores_gemma":[0.0021475537,0.00021448421,0.00069821486,0.00013752852,0.000022593815,0.000024284123,0.000084745174,0.9848381,0.0004985335,0.00038118896,0.010535062,0.00041766593],"about_ca_topic_score_codex":0.00013276997,"about_ca_topic_score_gemma":0.000094255396,"teacher_disagreement_score":0.9288172,"about_ca_system_score_codex":0.0000152585835,"about_ca_system_score_gemma":0.000072708965,"threshold_uncertainty_score":0.9999811},"labels":[],"label_agreement":null},{"id":"W3108395666","doi":"10.1111/cgf.14128","title":"Learning Elastic Constitutive Material and Damping Models","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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; McGill University","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Computer science; Nonlinear system; Inference; Position (finance); Constraint (computer-aided design); Parametric statistics; Set (abstract data type); Cover (algebra); Object (grammar); Deformation (meteorology); Algorithm; Artificial intelligence; Mathematics; Geometry; Physics; Mechanical engineering","score_opus":0.014662470736067284,"score_gpt":0.18719852614514776,"score_spread":0.17253605540908049,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108395666","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":[0.14296171,0.00013674148,0.85590094,0.00014961736,0.00019350092,0.000037818863,0.0000060961797,0.00033844274,0.0002751217],"genre_scores_gemma":[0.9975768,0.000087416935,0.0019414643,0.00021321498,0.00014345288,0.0000023972286,0.00001362679,0.00001913712,0.0000025143609],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993751,0.000014265057,0.0001443993,0.00017804632,0.000082046696,0.0002061432],"domain_scores_gemma":[0.99976283,0.000026189231,0.000017352699,0.000065539876,0.00002449139,0.0001035795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000042240255,0.00012932277,0.00017491389,0.00007287777,0.00011038817,0.000083134546,0.00008310935,0.0000559227,0.00000475275],"category_scores_gemma":[0.0000047738386,0.00013401428,0.000055072724,0.00015618437,0.00005085908,0.000119719014,0.000073695104,0.00018789669,0.0000061796263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000045916513,0.000003222495,0.00038094504,0.000052609194,0.00008907734,0.000008880848,0.00047736458,0.98650473,0.00017164278,0.009006137,0.0002530852,0.0030477333],"study_design_scores_gemma":[0.00014098776,0.000046345667,0.000015808808,0.000030488894,0.000027693417,0.0000038262497,0.000041539606,0.9973845,0.00009421874,0.0017525663,0.00030691165,0.00015510908],"about_ca_topic_score_codex":0.000003588831,"about_ca_topic_score_gemma":0.0000013566599,"teacher_disagreement_score":0.85461503,"about_ca_system_score_codex":0.00000607892,"about_ca_system_score_gemma":0.000006577974,"threshold_uncertainty_score":0.54649436},"labels":[],"label_agreement":null},{"id":"W3108412994","doi":"10.1111/cgf.14115","title":"ALLSTEPS: Curriculum‐driven Learning of Stepping Stone Skills","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","field":"Engineering","cited_by":99,"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; Animation; Robotics; Curriculum; Artificial intelligence; Stepping stone; Reinforcement learning; Character animation; Human–computer interaction; Humanoid robot; Robot; Computer animation; Computer graphics (images); Psychology","score_opus":0.00918677005732554,"score_gpt":0.20637784017656283,"score_spread":0.19719107011923728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108412994","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":[0.37449232,0.0001213416,0.623804,0.00022557337,0.00026187886,0.00011920793,0.0000027814413,0.00044783254,0.000525053],"genre_scores_gemma":[0.9972254,0.000051078463,0.0023300962,0.00023320984,0.00011096685,0.0000022285094,0.00001655674,0.000022134576,0.000008320814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993373,0.0000224421,0.0002162264,0.00012486505,0.00012964496,0.00016948947],"domain_scores_gemma":[0.9997245,0.000017873874,0.000046583995,0.00008382382,0.000046527686,0.00008066182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000487811,0.00010838594,0.00015794401,0.0000910013,0.000053935182,0.00002570233,0.00012827625,0.000053321495,0.000027632386],"category_scores_gemma":[0.000007686985,0.00011671641,0.000084488354,0.00024225641,0.000024198529,0.00011739578,0.000049962506,0.000206171,0.000032326592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009947231,0.0003065141,0.06372263,0.001548983,0.000531879,0.000054900946,0.011077072,0.67640966,0.011340691,0.14693454,0.023224851,0.06483835],"study_design_scores_gemma":[0.0002809297,0.00008860478,0.003967085,0.00007873268,0.000008660836,0.0000029182224,0.00008976397,0.9869838,0.00031101587,0.00011933747,0.007915222,0.00015394605],"about_ca_topic_score_codex":0.0000014220018,"about_ca_topic_score_gemma":0.0000015895451,"teacher_disagreement_score":0.62273306,"about_ca_system_score_codex":0.000009430478,"about_ca_system_score_gemma":0.0000042616207,"threshold_uncertainty_score":0.4759557},"labels":[],"label_agreement":null},{"id":"W3109152675","doi":"10.1111/cgf.14103","title":"Particle‐based Liquid Control using Animation Templates","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Template; Computer science; Animation; Robustness (evolution); Overhead (engineering); Particle system; Computer graphics (images); Rendering (computer graphics); Computational science; Programming language","score_opus":0.04133834653835853,"score_gpt":0.28679043594739684,"score_spread":0.24545208940903832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109152675","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":[0.017810842,0.00013620955,0.976528,0.003823857,0.0002772034,0.00032846365,0.0000062455465,0.0010715117,0.000017662875],"genre_scores_gemma":[0.9443581,0.0000114522445,0.043327246,0.012107496,0.00014885051,0.000013419641,0.000008506878,0.000024087378,8.0241466e-7],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979825,0.0001243326,0.00047464002,0.00059792056,0.00037379548,0.00044682866],"domain_scores_gemma":[0.9986548,0.00011149701,0.00020210074,0.00051783444,0.0002474864,0.00026629042],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025092866,0.00026854133,0.00029848653,0.00020122828,0.0002838813,0.00041920147,0.0010107888,0.000114899536,0.0000053490303],"category_scores_gemma":[0.000016211148,0.0002721136,0.00019806258,0.0013391386,0.00007276151,0.00064636715,0.0003212706,0.00019203975,0.000010184322],"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":[0.000026843854,0.00008534684,0.0033625301,0.00003679583,0.000037410173,0.0000139982685,0.0002450369,0.00080477266,0.00070431054,0.99173474,0.0011486743,0.00179952],"study_design_scores_gemma":[0.00064098724,0.000636407,0.00028858063,0.00003320257,0.00001190453,0.0000068676545,0.000003124432,0.98424464,0.006023764,0.0043562613,0.0034274063,0.0003268301],"about_ca_topic_score_codex":0.000012145832,"about_ca_topic_score_gemma":0.000002372968,"teacher_disagreement_score":0.9873785,"about_ca_system_score_codex":0.000020001797,"about_ca_system_score_gemma":0.00007707018,"threshold_uncertainty_score":0.9999731},"labels":[],"label_agreement":null},{"id":"W3109513727","doi":"10.1111/cgf.14113","title":"Linear Time Stable PD Controllers for Physics‐based Character Animation","year":2020,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","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":"Simon Fraser University","funders":"","keywords":"Computer science; Animation; Computation; Factorization; Stability (learning theory); Rigid body; Matrix (chemical analysis); Character animation; Algorithm; Character (mathematics); Computer animation; Control theory (sociology); Artificial intelligence; Mathematics; Computer graphics (images); Geometry; Control (management); Machine learning","score_opus":0.019475108663308947,"score_gpt":0.20811865724281153,"score_spread":0.18864354857950258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109513727","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":[0.010268995,0.000016462805,0.98731685,0.001186098,0.00019126893,0.00033365024,0.00003909287,0.00044506838,0.00020252472],"genre_scores_gemma":[0.9862541,0.000005592376,0.008953227,0.0035948209,0.0007188582,0.00003675812,0.00032898027,0.000057509696,0.000050151426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993889,0.000011406137,0.00017233576,0.00013756033,0.000095494084,0.00019430036],"domain_scores_gemma":[0.9996977,0.00003190296,0.000036496804,0.00009293366,0.00006339095,0.000077611505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000058248028,0.00012313001,0.00015653131,0.000048814814,0.000077110366,0.000054673743,0.00009015443,0.000054605065,0.000040192095],"category_scores_gemma":[0.0000045715765,0.00013079331,0.00010925334,0.00013712521,0.000013880235,0.00018127121,0.000011829031,0.00009063681,0.00011936523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000385528,0.0004100085,0.0015318946,0.0020206969,0.0007064006,0.0000090998365,0.0026871862,0.3718321,0.08271224,0.18047728,0.3122556,0.044971988],"study_design_scores_gemma":[0.00088163436,0.0000823286,0.00034797334,0.000015180176,0.000009947746,1.4985805e-7,0.0000029608925,0.96866465,0.0010217788,0.000402352,0.028431837,0.00013922327],"about_ca_topic_score_codex":2.9944175e-7,"about_ca_topic_score_gemma":4.36158e-7,"teacher_disagreement_score":0.97836363,"about_ca_system_score_codex":0.000014064401,"about_ca_system_score_gemma":0.000008415549,"threshold_uncertainty_score":0.53335965},"labels":[],"label_agreement":null},{"id":"W3127557989","doi":"10.1111/cgf.142627","title":"Levitating Rigid Objects with Hidden Rods and Wires","year":2021,"lang":"en","type":"preprint","venue":"Computer Graphics Forum","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Rod; Regular polygon; Polyhedron; Set (abstract data type); Computer science; Visibility; Term (time); Levitation; Shear (geology); Compression (physics); Algorithm; Mechanical engineering; Mathematics; Engineering; Geometry; Materials science; Physics; Composite material; Optics","score_opus":0.017451368174802428,"score_gpt":0.21009406110232778,"score_spread":0.19264269292752537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127557989","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":[0.9912394,0.0044278773,0.0015390988,0.00026580278,0.00093193376,0.00020190266,0.000074978736,0.00013788408,0.001181106],"genre_scores_gemma":[0.98725927,0.00025629246,0.011184044,0.0004959502,0.00018777025,0.0000021935136,0.0005227058,0.000010041213,0.00008173335],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828607,0.00015446384,0.00022748763,0.00062232115,0.00029254355,0.00041709628],"domain_scores_gemma":[0.99911505,0.00015640692,0.00013159115,0.00033773936,0.000095505864,0.00016369716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026029965,0.00032387048,0.00037557035,0.000089830915,0.0002985969,0.00053603,0.00028936192,0.00020548442,0.000056237997],"category_scores_gemma":[0.000010901107,0.00024030748,0.000101764614,0.00021072228,0.00014716353,0.00016453998,0.00017793737,0.0006225864,0.000007151855],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019424937,0.000015665039,0.9148593,0.00028951035,0.00014092252,0.00016525092,0.0014517602,0.0006904543,0.0000027514134,0.0002490683,0.0006591331,0.08145674],"study_design_scores_gemma":[0.0003507284,0.00028219228,0.944476,0.0008396408,0.0000545975,0.00012809051,0.0008639045,0.048607986,0.000020188349,0.0026433563,0.0008633402,0.00086996134],"about_ca_topic_score_codex":0.0014232232,"about_ca_topic_score_gemma":0.010785054,"teacher_disagreement_score":0.08058678,"about_ca_system_score_codex":0.0000026849116,"about_ca_system_score_gemma":0.00008116806,"threshold_uncertainty_score":0.9799454},"labels":[],"label_agreement":null},{"id":"W3129669023","doi":"10.1111/cgf.14330","title":"Data to Physicalization: A Survey of the Physical Rendering Process","year":2021,"lang":"en","type":"preprint","venue":"Computer Graphics Forum","topic":"Architecture and Computational Design","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; University of Calgary","funders":"","keywords":"Rendering (computer graphics); Computer science; Scope (computer science); Process (computing); Data science; Human–computer interaction; Computer graphics (images)","score_opus":0.056162199655035584,"score_gpt":0.28415470520082103,"score_spread":0.22799250554578546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129669023","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":[0.111831605,0.00013456015,0.88628024,0.00015433079,0.00088507286,0.0002797332,0.00025163373,0.00012602477,0.000056812936],"genre_scores_gemma":[0.996934,0.000007599577,0.0019518425,0.00018032614,0.00023820718,0.00001727107,0.0006261206,0.000042225864,0.000002402701],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987073,0.000086880595,0.00024407613,0.00041465895,0.00034583898,0.00020127751],"domain_scores_gemma":[0.998416,0.0001267821,0.0000663418,0.0011354935,0.0001961344,0.000059240934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012858104,0.0002344828,0.00032801123,0.00008007599,0.00006255248,0.00006776356,0.0013278497,0.00009216018,0.0000011908772],"category_scores_gemma":[0.000021778911,0.00019744081,0.000110872556,0.000623613,0.000042527037,0.000056867448,0.002047736,0.0004463792,0.0000012454688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000040756117,0.000056210018,0.00097404706,0.0003773742,0.00017587429,0.0000019715096,0.0007194399,0.9895877,0.00003465889,0.0012766725,0.0028221866,0.003969746],"study_design_scores_gemma":[0.00006108918,0.000013999365,0.03420428,0.00023354692,0.000024788798,0.0000024113876,0.000007396966,0.95952106,0.00026841823,0.0052131065,0.00021475265,0.00023518692],"about_ca_topic_score_codex":0.000020947198,"about_ca_topic_score_gemma":0.00011444337,"teacher_disagreement_score":0.8851024,"about_ca_system_score_codex":0.000013115615,"about_ca_system_score_gemma":0.00009754018,"threshold_uncertainty_score":0.80514026},"labels":[],"label_agreement":null},{"id":"W3136999463","doi":"10.1111/cgf.142659","title":"2D Points Curve Reconstruction Survey and Benchmark","year":2021,"lang":"en","type":"preprint","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Saint Mary's University","funders":"Austrian Science Fund; Natural Sciences and Engineering Research Council of Canada; Vienna Science and Technology Fund","keywords":"Benchmark (surveying); Computer science; Set (abstract data type); Field (mathematics); Surface reconstruction; Learning curve; Algorithm; Data point; Data set; Curve fitting; Extension (predicate logic); Point of interest; Planar; Surface (topology); Data mining; Artificial intelligence; Mathematics; Machine learning; Geometry; Computer graphics (images); Cartography; Geography","score_opus":0.0269874457967614,"score_gpt":0.27993113271839387,"score_spread":0.2529436869216325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136999463","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":[0.033784036,0.0011534158,0.9588648,0.0004832891,0.004417509,0.00047218293,0.00004454401,0.00071153365,0.00006870593],"genre_scores_gemma":[0.77385503,0.0041668736,0.21737996,0.0028125877,0.00048362414,0.00010265087,0.001059958,0.000111212736,0.000028137118],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9955811,0.000624641,0.00084520155,0.001790644,0.00054529245,0.00061313773],"domain_scores_gemma":[0.9962189,0.00028507397,0.0005277542,0.0018551938,0.000827783,0.00028528232],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0013100052,0.0006586396,0.00076735835,0.0009460576,0.00034818766,0.0019935328,0.0018016079,0.0006516584,0.000007523919],"category_scores_gemma":[0.00004194747,0.0007300313,0.00034856374,0.0012002503,0.0002150036,0.00061377784,0.006905155,0.0010892793,0.0000027820647],"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":[0.000008307908,0.00021003757,0.11313138,0.00029435713,0.000296206,0.000052761217,0.00062272674,0.000022360658,0.000005508285,0.7973414,0.008494074,0.07952087],"study_design_scores_gemma":[0.00041076157,0.0001960417,0.08414778,0.0005818763,0.000025241357,0.00020945458,0.000013666534,0.7646586,0.000193784,0.14642647,0.0017726342,0.0013637336],"about_ca_topic_score_codex":0.00023562601,"about_ca_topic_score_gemma":0.00031567982,"teacher_disagreement_score":0.7646362,"about_ca_system_score_codex":0.00004949855,"about_ca_system_score_gemma":0.00025746724,"threshold_uncertainty_score":0.99951506},"labels":[],"label_agreement":null},{"id":"W3137456946","doi":"10.1111/cgf.14202","title":"Action Unit Driven Facial Expression Synthesis from a Single Image with Patch Attentive GAN","year":2021,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Face recognition and analysis","field":"Computer Science","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":"Artificial Intelligence in Medicine (Canada)","funders":"China Scholarship Council","keywords":"Computer science; Facial expression; Generator (circuit theory); Expression (computer science); Artificial intelligence; Image synthesis; Encoder; Discriminator; Action (physics); Image (mathematics); Generative grammar; Computer vision; Pattern recognition (psychology); Power (physics); Programming language","score_opus":0.02677676266141265,"score_gpt":0.2383389987990851,"score_spread":0.21156223613767244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137456946","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":[0.13545738,0.000029094657,0.86233354,0.0014075319,0.00028289342,0.00007462808,0.000028085591,0.00018326736,0.0002035741],"genre_scores_gemma":[0.92117256,0.00004688508,0.07781413,0.00066506414,0.00011969059,0.000019278017,0.00007577628,0.000020094758,0.00006652331],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830645,0.00016256602,0.00021480375,0.0006155975,0.0003683458,0.00033223844],"domain_scores_gemma":[0.99875176,0.00015150048,0.00013109336,0.00051792146,0.00030550064,0.00014222461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007038347,0.00021226799,0.00026305136,0.00020557045,0.00028823217,0.00040853978,0.00044358522,0.00009924991,0.000061005794],"category_scores_gemma":[0.000014934836,0.00018675711,0.0001961844,0.0008844944,0.00007565329,0.00064859237,0.00027715066,0.00020405657,0.000058876278],"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":[0.00013768421,0.0029025164,0.07095586,0.00013057905,0.0015388661,0.001294148,0.0041772625,0.000528605,0.22576839,0.008452449,0.01119689,0.67291677],"study_design_scores_gemma":[0.0014381356,0.000280991,0.0116900215,0.000640793,0.00019499774,0.00005932478,0.0008808375,0.5397262,0.42715028,0.006675311,0.009999346,0.0012637641],"about_ca_topic_score_codex":0.00006095419,"about_ca_topic_score_gemma":0.0002796793,"teacher_disagreement_score":0.78571516,"about_ca_system_score_codex":0.000025563371,"about_ca_system_score_gemma":0.000059010505,"threshold_uncertainty_score":0.76157343},"labels":[],"label_agreement":null},{"id":"W3153648596","doi":"10.1111/cgf.14268","title":"SREC‐RT: A Structure for Ray Tracing Rounded Edges and Corners","year":2021,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Geometry; Rendering (computer graphics); Polygon mesh; Ray tracing (physics); Distributed ray tracing; Computer science; Geometric primitive; Surface (topology); Computer graphics (images); Computation; Enhanced Data Rates for GSM Evolution; Parametric statistics; Parametric surface; Mathematics; Algorithm; Computer vision; Physics; Optics","score_opus":0.019863293592694446,"score_gpt":0.27116222718825655,"score_spread":0.2512989335955621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153648596","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":[0.010984442,0.0006878298,0.9852435,0.0010018998,0.0012322662,0.00033387417,0.000019455025,0.00046607442,0.000030674702],"genre_scores_gemma":[0.81297493,0.00025346057,0.18329886,0.0030682904,0.00022938693,0.000034068406,0.000055184155,0.00003742711,0.000048382823],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99795985,0.00008034502,0.00038805907,0.0008192972,0.0002631224,0.00048932526],"domain_scores_gemma":[0.99834734,0.00021610272,0.00014838624,0.0007017646,0.00040945553,0.00017696331],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023951508,0.000305508,0.00035099144,0.0003433208,0.00040251794,0.0007941101,0.00070367684,0.00017871591,0.0000029425357],"category_scores_gemma":[0.000020618727,0.00030781556,0.00019672856,0.00094968366,0.00010000565,0.0005055088,0.00062399317,0.00021820323,5.538702e-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":[0.0000046983005,0.000049216047,0.0010599381,0.00005827407,0.000060809216,0.000015669624,0.0004920592,0.000021950918,0.0001233277,0.959289,0.0047860737,0.034038957],"study_design_scores_gemma":[0.00095386466,0.00026187956,0.0016094177,0.00010618873,0.000019604948,0.00014766723,0.000041393945,0.72369826,0.0053932136,0.24410464,0.023008073,0.0006558116],"about_ca_topic_score_codex":0.000006795408,"about_ca_topic_score_gemma":0.0000449991,"teacher_disagreement_score":0.8019905,"about_ca_system_score_codex":0.000020874595,"about_ca_system_score_gemma":0.00011080891,"threshold_uncertainty_score":0.9999374},"labels":[],"label_agreement":null},{"id":"W3158399030","doi":"10.1111/cgf.14356","title":"Normal‐Driven Spherical Shape Analogies","year":2021,"lang":"en","type":"preprint","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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 Toronto; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Analogy; Rendering (computer graphics); Developable surface; Surface (topology); Geometry; Geometric shape; Computer science; Artificial intelligence; Computer vision; Shape analysis (program analysis); Mathematics","score_opus":0.026993440718347132,"score_gpt":0.28480743533784225,"score_spread":0.2578139946194951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158399030","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":[0.0046160035,0.0008977567,0.9871596,0.0011044662,0.0033345937,0.0004707237,0.00001706332,0.0020496885,0.0003500916],"genre_scores_gemma":[0.46741265,0.0020933053,0.52223355,0.0066477032,0.00082698144,0.00017565042,0.00041082504,0.00013726983,0.00006208891],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99509555,0.0002682629,0.0009602692,0.001878146,0.0008729719,0.000924809],"domain_scores_gemma":[0.99553823,0.0001681218,0.0005103181,0.0027382246,0.00071926985,0.00032580344],"candidate_categories":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.00037808242,0.00082324573,0.0009516015,0.0007324229,0.00035582998,0.0023208647,0.00472406,0.0007475592,0.000031294232],"category_scores_gemma":[0.000020718879,0.00087245734,0.0009013334,0.001679703,0.00021491945,0.00061378727,0.0140185775,0.0014470823,0.000010863197],"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":[0.0000034150705,0.0002686755,0.0041612526,0.00018377807,0.00022984351,0.00017867917,0.00046906172,0.00041169222,0.000009498662,0.9536872,0.01439206,0.026004875],"study_design_scores_gemma":[0.00022772682,0.00018310285,0.003287341,0.00028797396,0.000027748085,0.000047019035,0.000014337022,0.9378752,0.00024980438,0.04660446,0.0101481965,0.0010470954],"about_ca_topic_score_codex":0.00006505366,"about_ca_topic_score_gemma":0.000051112384,"teacher_disagreement_score":0.9374635,"about_ca_system_score_codex":0.00007161471,"about_ca_system_score_gemma":0.00038430057,"threshold_uncertainty_score":0.9993726},"labels":[],"label_agreement":null},{"id":"W3160035517","doi":"10.1111/cgf.142611","title":"Fast Updates for Least‐Squares Rotational Alignment","year":2021,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Robotics and Sensor-Based Localization","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 Toronto","funders":"Deutsche Forschungsgemeinschaft","keywords":"Speedup; Singular value decomposition; Vectorization (mathematics); Computer science; Algorithm; Computation; Rotation (mathematics); Quadratic equation; Computer graphics; Artificial intelligence; Mathematics; Parallel computing; Geometry","score_opus":0.00997154294827783,"score_gpt":0.2084432628760295,"score_spread":0.19847171992775167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160035517","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":[0.0074801054,0.00022369313,0.99058294,0.00053876487,0.0007366742,0.00013105544,0.00003559482,0.00013052108,0.00014061971],"genre_scores_gemma":[0.95761746,0.000096537624,0.039929762,0.0009821588,0.00032831533,0.00004037523,0.0008606967,0.00006106337,0.00008360629],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930495,0.000011008766,0.00017414054,0.00015921357,0.00013387203,0.00021679758],"domain_scores_gemma":[0.99960464,0.000050971794,0.000018651504,0.00014880851,0.00012001751,0.000056908855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000043753596,0.0001169579,0.000113289825,0.00007178143,0.000088998044,0.00007423732,0.0000791208,0.000057206777,0.000011898796],"category_scores_gemma":[0.000004480235,0.00012687233,0.00009152498,0.00015959523,0.000019339177,0.000065129614,0.000026323323,0.000056507924,0.0000076253846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003954707,0.000039332892,0.001461193,0.00007118504,0.00007980983,0.0000060218604,0.000062153245,0.6554963,0.00030931333,0.31506732,0.02258493,0.004818472],"study_design_scores_gemma":[0.0003220766,0.000034704604,0.0008358169,0.000024356685,0.00001183962,0.0000051864436,0.000031771404,0.9716954,0.002737224,0.004816705,0.01931781,0.00016706806],"about_ca_topic_score_codex":0.0000012133551,"about_ca_topic_score_gemma":0.000010339406,"teacher_disagreement_score":0.9506532,"about_ca_system_score_codex":0.000018412258,"about_ca_system_score_gemma":0.000016694054,"threshold_uncertainty_score":0.51737034},"labels":[],"label_agreement":null},{"id":"W3160127159","doi":"10.1111/cgf.142654","title":"Velocity Skinning for Real‐time Stylized Skeletal Animation","year":2021,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","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":"Research Executive Agency; European Commission; McGill University","keywords":"Stylized fact; Skinning; Computer graphics (images); Animation; Computer science; Non-photorealistic rendering; Computer animation; Computer vision; Computer facial animation; Engineering; Keynesian economics","score_opus":0.011751454754323131,"score_gpt":0.22756733914732152,"score_spread":0.2158158843929984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160127159","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":[0.16183272,0.000059061556,0.83511263,0.00022409196,0.00044320355,0.00018249032,0.000016206584,0.00059048895,0.0015391327],"genre_scores_gemma":[0.9531572,0.00007805294,0.04528747,0.00030452752,0.00036719296,0.000033710294,0.00044725192,0.000063943044,0.00026067212],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993168,0.000019165287,0.0001958053,0.00015356217,0.00010632256,0.00020834629],"domain_scores_gemma":[0.9996365,0.000040342755,0.000030816664,0.00013817278,0.000104277,0.000049911247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011067089,0.0001129959,0.0001384616,0.00009107024,0.00012549026,0.00008136034,0.00007584531,0.000075400334,0.00004476482],"category_scores_gemma":[0.000008941452,0.00013106718,0.000111946574,0.00019381379,0.000016019741,0.00016151562,0.000029293282,0.000089869034,0.00003491558],"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":[0.000024161853,0.000228337,0.0012521481,0.0009143353,0.00039594262,0.00002797769,0.0016619886,0.013017277,0.03911375,0.7338853,0.09710692,0.112371884],"study_design_scores_gemma":[0.00055659196,0.000035802736,0.005255255,0.000037424106,0.00001182658,0.000006256992,0.000014151566,0.9695612,0.0014306471,0.0042496873,0.018648278,0.00019283645],"about_ca_topic_score_codex":9.417354e-7,"about_ca_topic_score_gemma":0.0000061396117,"teacher_disagreement_score":0.956544,"about_ca_system_score_codex":0.000027663906,"about_ca_system_score_gemma":0.000012847313,"threshold_uncertainty_score":0.53447646},"labels":[],"label_agreement":null},{"id":"W3165253014","doi":"10.1111/cgf.142619","title":"Semantics‐Guided Latent Space Exploration for Shape Generation","year":2021,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Subspace topology; Artificial intelligence; Space (punctuation); Semantics (computer science); Set (abstract data type); Artificial neural network; Generative model; Shape analysis (program analysis); Parametric statistics; Linear subspace; Generative grammar; Machine learning; Pattern recognition (psychology); Mathematics","score_opus":0.048733217063154005,"score_gpt":0.24338179246819855,"score_spread":0.19464857540504454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165253014","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":[0.05514076,0.0003533894,0.94232816,0.0012263379,0.00061991235,0.00008312617,0.0000071590075,0.00020867425,0.0000324923],"genre_scores_gemma":[0.9806321,0.00029198054,0.018023614,0.00027717082,0.0003940903,0.000022420574,0.00025957698,0.000032644224,0.000066366745],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992736,0.0000144582,0.0001997006,0.00019458354,0.00011305127,0.00020463129],"domain_scores_gemma":[0.9995348,0.000020536656,0.000023710427,0.00020195925,0.00016902646,0.00004999068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009453761,0.00012325447,0.0001483068,0.00010484267,0.0001085248,0.00009992974,0.00007243846,0.0000818975,0.0000067507153],"category_scores_gemma":[0.0000067613364,0.00013290528,0.00014870729,0.00024438003,0.000008803694,0.00014556861,0.00002752625,0.000085133615,0.000008701937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000020125196,0.000043571414,0.00059559295,0.000102224134,0.00021343623,0.0000092559785,0.00026740658,0.92643076,0.0046534343,0.025484325,0.031402152,0.01079582],"study_design_scores_gemma":[0.00019153819,0.000015925418,0.000028273269,0.000017735716,0.00003856952,0.0000032051335,0.000012965941,0.98966295,0.005603234,0.002051704,0.002215939,0.00015798873],"about_ca_topic_score_codex":0.0000018275341,"about_ca_topic_score_gemma":0.0000342113,"teacher_disagreement_score":0.9254914,"about_ca_system_score_codex":0.00001682851,"about_ca_system_score_gemma":0.000016413465,"threshold_uncertainty_score":0.541972},"labels":[],"label_agreement":null},{"id":"W3166733389","doi":"10.1111/cgf.142630","title":"Learning and Exploring Motor Skills with Spacetime Bounds","year":2021,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","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":"Simon Fraser University","funders":"","keywords":"Spacetime; Bottleneck; Computer science; Animation; Character animation; Reinforcement learning; Motion (physics); Artificial intelligence; Space (punctuation); Computer animation; Computer graphics (images); Physics","score_opus":0.009533723015370196,"score_gpt":0.19113888565337334,"score_spread":0.18160516263800314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166733389","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":[0.8406887,0.000250651,0.15742685,0.00015427948,0.00026732177,0.00005655901,0.0000010681973,0.00039791162,0.0007566222],"genre_scores_gemma":[0.99527,0.00023748906,0.0040674093,0.00007821273,0.00009579621,0.000007389386,0.0000110327255,0.000026187792,0.00020649128],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999537,0.000012967648,0.00008175164,0.00012312982,0.00008468097,0.00016045335],"domain_scores_gemma":[0.99980104,0.000017299017,0.000012573294,0.00007608567,0.000035183788,0.000057813748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000042944786,0.000092244445,0.00009149256,0.0000795212,0.00010435064,0.000106832595,0.000032791908,0.000031205218,0.000018668963],"category_scores_gemma":[0.0000027207466,0.00009222335,0.000026768419,0.00014056556,0.00002235792,0.00015602192,0.000032134438,0.00015234863,0.000010386185],"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":[0.00004414113,0.0004310209,0.24418338,0.0015770582,0.0010375219,0.00056215393,0.015249924,0.046223294,0.016940223,0.30379233,0.010867283,0.35909167],"study_design_scores_gemma":[0.0017691498,0.00050053356,0.10558555,0.0005067324,0.000043626904,0.00017798757,0.0006144105,0.70160437,0.0035496799,0.0019842652,0.18260273,0.0010609522],"about_ca_topic_score_codex":6.332681e-7,"about_ca_topic_score_gemma":0.000010624375,"teacher_disagreement_score":0.6553811,"about_ca_system_score_codex":0.000009666767,"about_ca_system_score_gemma":0.00000549246,"threshold_uncertainty_score":0.3760759},"labels":[],"label_agreement":null},{"id":"W3167076322","doi":"10.1111/cgf.14274","title":"Inverse Dynamics Filtering for Sampling‐based Motion Control","year":2021,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","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":"McGill University","funders":"","keywords":"Polygon (computer graphics); Inverse dynamics; Computer science; Inverse; Dynamics (music); Filter (signal processing); Sampling (signal processing); Zero moment point; Motion (physics); Computer vision; Algorithm; Mathematics; Artificial intelligence; Kinematics; Geometry; Robot; Frame (networking)","score_opus":0.020095174979709293,"score_gpt":0.22719244073231853,"score_spread":0.20709726575260923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3167076322","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":[0.020530295,0.00002394131,0.9780009,0.00023283258,0.0006794648,0.00013195438,0.00003511307,0.00027510585,0.00009042575],"genre_scores_gemma":[0.9755221,0.000008026425,0.02324157,0.0007503726,0.00014149454,0.000020887499,0.00026327503,0.000032059965,0.000020196105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941653,0.000012479486,0.00016311528,0.00013861057,0.00007627808,0.00019300121],"domain_scores_gemma":[0.9996463,0.000044029595,0.000023178742,0.00014644978,0.00008718824,0.00005282189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007438162,0.000106794105,0.000116288626,0.00010085077,0.00009020815,0.00006844256,0.00006862334,0.000068436864,0.000018681778],"category_scores_gemma":[0.000008347884,0.0001272738,0.000114117676,0.00013001647,0.000014463368,0.00009399749,0.000013793239,0.0000910511,0.000009383401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027273607,0.00016143107,0.0034014191,0.00088133715,0.00021092354,0.000015680334,0.00025430016,0.6100246,0.0038671703,0.31258982,0.011463959,0.05710209],"study_design_scores_gemma":[0.0007444926,0.00002240784,0.0010022117,0.000032084154,0.000010638737,0.0000021054675,0.000011244418,0.9909787,0.0003589265,0.0024867593,0.0042184647,0.0001319221],"about_ca_topic_score_codex":6.6510063e-7,"about_ca_topic_score_gemma":0.000048153714,"teacher_disagreement_score":0.9549918,"about_ca_system_score_codex":0.000042187068,"about_ca_system_score_gemma":0.000010235926,"threshold_uncertainty_score":0.5190075},"labels":[],"label_agreement":null},{"id":"W3168786072","doi":"10.1111/cgf.142639","title":"Patch Erosion for Deformable Lapped Textures on 3D Fluids","year":2021,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Carleton University; École de Technologie Supérieure","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence; Texture (cosmology); Artifact (error); Feature (linguistics); Filling-in; Distortion (music); Displacement mapping; Erosion; Animation; Process (computing); Computer graphics (images); Texture mapping; Geology; Image (mathematics)","score_opus":0.018882245709394157,"score_gpt":0.27766870616157796,"score_spread":0.2587864604521838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3168786072","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":[0.002604003,0.00023943407,0.9933197,0.0011698998,0.0013012708,0.000403791,0.000017002269,0.00075898273,0.00018590337],"genre_scores_gemma":[0.5736982,0.0006280208,0.40284505,0.021131901,0.00070211827,0.0002596037,0.00026861206,0.00012006014,0.0003463965],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975382,0.00008817936,0.00046869417,0.0008318762,0.000436327,0.000636717],"domain_scores_gemma":[0.9978895,0.00019448869,0.00014220162,0.0011408796,0.00045307665,0.00017981378],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036704153,0.00034334135,0.00035037476,0.0004030715,0.00051003613,0.00058012165,0.0011268127,0.00020662819,0.0000060349016],"category_scores_gemma":[0.000016773336,0.00032573834,0.00033466067,0.0010553098,0.000059624464,0.00045458018,0.00078138895,0.00025164167,0.000011619735],"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":[0.00000931092,0.00018002492,0.00084521,0.000040588944,0.000030749998,0.000011925976,0.0001221925,0.000040311046,0.00017182587,0.9528124,0.026484597,0.01925088],"study_design_scores_gemma":[0.00065720594,0.0005489413,0.0006087055,0.00010022858,0.000009850921,0.000028007356,0.0000059087693,0.80574924,0.011972093,0.09366059,0.08619088,0.00046832988],"about_ca_topic_score_codex":0.000015934254,"about_ca_topic_score_gemma":0.00003067454,"teacher_disagreement_score":0.8591518,"about_ca_system_score_codex":0.00003188067,"about_ca_system_score_gemma":0.00011722553,"threshold_uncertainty_score":0.9999195},"labels":[],"label_agreement":null},{"id":"W3178594656","doi":"10.1111/cgf.14488","title":"Closed space‐filling curves with controlled orientation for 3D printing","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Toronto Metropolitan University; University of Victoria","funders":"Agence Nationale de la Recherche; Université de Lorraine","keywords":"Orientation (vector space); Computer science; Graph; Geometry; Mathematical optimization; Algorithm; Mathematics; Theoretical computer science","score_opus":0.00888445836147115,"score_gpt":0.20501174529292765,"score_spread":0.1961272869314565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3178594656","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":[0.06054814,0.00049011956,0.9376725,0.00026474768,0.0003102992,0.00034226195,0.000011723435,0.0002817843,0.00007843382],"genre_scores_gemma":[0.9765406,0.000058595397,0.022741895,0.00029778833,0.00009334899,0.00011119164,0.000075278695,0.00004012984,0.000041156713],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990886,0.000024427938,0.00022254276,0.00020022505,0.00019706826,0.00026714758],"domain_scores_gemma":[0.99956685,0.00009188347,0.00006090658,0.00016570491,0.00007230491,0.000042332606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002611771,0.0001399272,0.0002650008,0.00018413748,0.00031236373,0.00004252658,0.00013187215,0.000024258918,0.000008771501],"category_scores_gemma":[0.0000064898522,0.00013026537,0.00015185651,0.0003460065,0.00001461191,0.00006603133,0.00004705192,0.00016916498,8.3777155e-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":[0.00007179614,0.00003766205,0.0023734213,0.00019192144,0.0003726047,0.00000375357,0.0003280438,0.98510355,0.00007475915,0.005009704,0.001409237,0.0050235293],"study_design_scores_gemma":[0.0017666032,0.00008814595,0.000058449496,0.000051580853,0.000083074694,0.0000024250967,0.00008251006,0.9955341,0.000050668456,0.00046649275,0.0016357583,0.00018015614],"about_ca_topic_score_codex":0.0000057238885,"about_ca_topic_score_gemma":0.0000096440945,"teacher_disagreement_score":0.9159925,"about_ca_system_score_codex":0.000025019324,"about_ca_system_score_gemma":0.000013014647,"threshold_uncertainty_score":0.5312067},"labels":[],"label_agreement":null},{"id":"W3183827559","doi":"10.1111/cgf.14343","title":"PosterChild: Blend‐Aware Artistic Posterization","year":2021,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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 Toronto","funders":"","keywords":"Palette (painting); Computer science; Computer graphics (images); Variety (cybernetics); Computer vision; Artificial intelligence; Image (mathematics)","score_opus":0.014337015062963834,"score_gpt":0.26161856554139046,"score_spread":0.24728155047842662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183827559","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":[0.0027605505,0.00022654876,0.99258727,0.0018299497,0.0012233555,0.00020066024,0.000013471711,0.00092807744,0.00023010641],"genre_scores_gemma":[0.9128223,0.00030623336,0.07497166,0.01103967,0.00032121284,0.000037021215,0.00025352297,0.00006797584,0.00018038487],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99752986,0.00016685104,0.0005103528,0.00082739955,0.0004394962,0.00052604126],"domain_scores_gemma":[0.9978123,0.00010275065,0.00016690875,0.001179991,0.0005368434,0.00020122089],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020745753,0.00031075795,0.0003050777,0.00045188848,0.00033233312,0.00071898533,0.0010756169,0.0001527862,0.000015434394],"category_scores_gemma":[0.000015625761,0.0003350361,0.0002220399,0.0017468627,0.00007006996,0.00064219435,0.0012381743,0.00025135826,0.000024665014],"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":[0.0000020808086,0.00012048698,0.002208771,0.000028092743,0.000033030392,0.00008127534,0.00013830067,0.000011894359,0.00009356236,0.9763357,0.0039678304,0.016978974],"study_design_scores_gemma":[0.0006080236,0.00034219152,0.007766096,0.00016521028,0.000020617137,0.00038892915,0.000014051706,0.8447458,0.0052348827,0.11500607,0.02484452,0.0008636124],"about_ca_topic_score_codex":0.000007808584,"about_ca_topic_score_gemma":0.00001746511,"teacher_disagreement_score":0.9176156,"about_ca_system_score_codex":0.000027173897,"about_ca_system_score_gemma":0.00013989428,"threshold_uncertainty_score":0.9999102},"labels":[],"label_agreement":null},{"id":"W3190525204","doi":"10.1111/cgf.14427","title":"Dynamic Diffuse Global Illumination Resampling","year":2021,"lang":"en","type":"preprint","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Global illumination; Specular reflection; Scattering; Resampling; Computer science; Path tracing; Ray tracing (physics); Sampling (signal processing); Variance (accounting); Path (computing); Importance sampling; Sample (material); Computer vision; Artificial intelligence; Algorithm; Optics; Mathematics; Physics; Monte Carlo method; Statistics; Rendering (computer graphics)","score_opus":0.01954091065229879,"score_gpt":0.29910054763257504,"score_spread":0.27955963698027625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190525204","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":[0.0125145065,0.0010729397,0.97860706,0.0010315559,0.0043416605,0.00055226206,0.0000383281,0.0017338166,0.0001078859],"genre_scores_gemma":[0.72066593,0.0010875489,0.2749039,0.0023722274,0.0002244273,0.0001070553,0.0005439069,0.0000709394,0.000024063302],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99536735,0.00023325381,0.00091332576,0.0018528618,0.0008611963,0.0007719956],"domain_scores_gemma":[0.9956516,0.000111930574,0.00056677323,0.0025785463,0.00082415063,0.00026697677],"candidate_categories":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.0005169841,0.0007303572,0.000718551,0.00068245403,0.00038586414,0.002272787,0.0034246158,0.00071005814,0.000004222184],"category_scores_gemma":[0.000026984122,0.0008267691,0.00067214784,0.0017297968,0.00014920559,0.00057349034,0.008960644,0.00095879915,0.0000050410413],"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":[0.0000027848168,0.0003163403,0.0014903405,0.000179887,0.00012946571,0.000066342654,0.00035942375,0.00021279049,0.0000052299306,0.9670585,0.0019172045,0.02826173],"study_design_scores_gemma":[0.0003151697,0.00008942231,0.0034568384,0.00038175422,0.000023913783,0.00004004265,0.000012837646,0.8488914,0.000056518802,0.14367224,0.0022589806,0.00080092123],"about_ca_topic_score_codex":0.00008046407,"about_ca_topic_score_gemma":0.00013975713,"teacher_disagreement_score":0.8486786,"about_ca_system_score_codex":0.0002142326,"about_ca_system_score_gemma":0.00034221975,"threshold_uncertainty_score":0.9994183},"labels":[],"label_agreement":null},{"id":"W3191946594","doi":"10.1111/cgf.14389","title":"Design and Evaluation of Visualization Techniques to Facilitate Argument Exploration","year":2021,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","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":"Ontario Tech University","funders":"","keywords":"Argument (complex analysis); Visualization; Computer science; Visibility; Data science; Information visualization; Human–computer interaction; Artificial intelligence","score_opus":0.11529510884497964,"score_gpt":0.3414102994331717,"score_spread":0.22611519058819207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3191946594","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":[0.0010221757,0.000093252675,0.99744785,0.00085890177,0.00013973033,0.0002977305,0.0000036741774,0.000095163356,0.000041498013],"genre_scores_gemma":[0.34913123,0.00041336459,0.6467646,0.0032452315,0.000059242622,0.000083223036,0.00020894644,0.000023043822,0.00007111639],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985347,0.00024851796,0.00028274473,0.00031656277,0.00048082974,0.00013668761],"domain_scores_gemma":[0.9986443,0.000047523707,0.00009382055,0.0003553654,0.0007874027,0.000071579314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000915461,0.00010299261,0.00013067016,0.00023679277,0.00008125062,0.00015288036,0.000215824,0.00004424349,0.000003861294],"category_scores_gemma":[0.000038624643,0.00010752732,0.00003095054,0.00083274115,0.000024308445,0.0006164535,0.0002564495,0.000036297522,0.0000035976816],"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":[0.0000055865544,0.0001846251,0.0002997997,0.000050424012,0.000044998662,0.000002933034,0.0021393395,0.004932304,0.0018991623,0.7772389,0.0071216114,0.2060803],"study_design_scores_gemma":[0.00018426198,0.00012472777,0.00011927375,0.000041315983,0.000015692858,0.00000325135,0.000031787084,0.9482479,0.024206052,0.022610832,0.004287144,0.00012778273],"about_ca_topic_score_codex":0.0000029967603,"about_ca_topic_score_gemma":0.0000050617664,"teacher_disagreement_score":0.94331557,"about_ca_system_score_codex":0.000020373549,"about_ca_system_score_gemma":0.00008702236,"threshold_uncertainty_score":0.4384837},"labels":[],"label_agreement":null},{"id":"W3193639655","doi":"10.1111/cgf.14359","title":"Discrete Optimization for Shape Matching","year":2021,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":48,"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":"King Abdullah University of Science and Technology; Agence Nationale de la Recherche","keywords":"Pointwise; Solver; Energy functional; Computer science; Benchmark (surveying); Constraint (computer-aided design); Algorithm; Range (aeronautics); Mathematical optimization; Mathematics; Geometry","score_opus":0.017767739140331414,"score_gpt":0.2710417578912952,"score_spread":0.2532740187509638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3193639655","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":[0.003495399,0.000058201185,0.992327,0.0020826596,0.0015175609,0.00014315298,0.0000033247527,0.0002496872,0.00012301408],"genre_scores_gemma":[0.5198914,0.000040994255,0.47615692,0.003393999,0.00021720795,0.00004131631,0.000058420443,0.00002410181,0.00017563958],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99887496,0.000046406924,0.00021981377,0.0004024817,0.00018426425,0.0002720809],"domain_scores_gemma":[0.99926114,0.000049328264,0.000073672054,0.00034524396,0.00019423003,0.00007636979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001602786,0.00012155546,0.00012713097,0.00012263189,0.00029915624,0.00031529512,0.00036190322,0.00006732588,0.000013564253],"category_scores_gemma":[0.000009903488,0.00012278576,0.0001670504,0.0005306354,0.000020895717,0.00050233316,0.0002384258,0.00009689607,0.000008074194],"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":[0.0000060450234,0.00008650871,0.00031901582,0.0000445563,0.000037896574,0.0000107766455,0.00029412113,0.014739026,0.00026175752,0.9331355,0.0017073851,0.049357425],"study_design_scores_gemma":[0.00029836476,0.00008153433,0.00034627147,0.000020234222,0.0000051536144,0.000025722697,0.000017726737,0.97045964,0.0005078784,0.02444808,0.0036252055,0.0001641806],"about_ca_topic_score_codex":0.0000022480576,"about_ca_topic_score_gemma":0.0000067650417,"teacher_disagreement_score":0.9557206,"about_ca_system_score_codex":0.000015316005,"about_ca_system_score_gemma":0.00003519304,"threshold_uncertainty_score":0.5007058},"labels":[],"label_agreement":null},{"id":"W3194511149","doi":"10.1111/cgf.14357","title":"Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms","year":2021,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","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":"National Science Foundation","keywords":"Computer science; Set (abstract data type); Task (project management); Floor plan; Selection (genetic algorithm); Artificial intelligence; Computer vision; Human–computer interaction; Engineering drawing","score_opus":0.039336405720570636,"score_gpt":0.22614806015944933,"score_spread":0.1868116544388787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194511149","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":[0.89593923,0.0017081519,0.09661722,0.00031602915,0.002446278,0.00010751189,0.00068536587,0.00021761877,0.0019626091],"genre_scores_gemma":[0.8636036,0.000052479827,0.12967238,0.0029446676,0.0011855614,0.000001812632,0.0021444524,0.000015376076,0.00037969236],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983503,0.00009013376,0.0003092571,0.0004840167,0.0002701546,0.0004961273],"domain_scores_gemma":[0.99919635,0.00018106669,0.00008552546,0.00028952715,0.0000863302,0.00016122192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021990707,0.00022284471,0.00024789444,0.000048529342,0.0005036981,0.0002694923,0.00027314143,0.00012258478,0.00036942924],"category_scores_gemma":[0.00003092481,0.00019106243,0.0001169895,0.00032182634,0.00005407259,0.0002112948,0.000054509852,0.00028517106,0.0001149779],"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":[0.000019998057,0.00007211083,0.81624866,0.00004193097,0.00013820958,0.00023511927,0.0010660504,0.0095067425,0.00060641416,0.00055534,0.003503231,0.1680062],"study_design_scores_gemma":[0.00054656604,0.00008556316,0.19508582,0.00009306104,0.00002466514,0.000060506776,0.00026217484,0.78435576,0.00018623596,0.00050453976,0.018246647,0.00054846634],"about_ca_topic_score_codex":0.0013765524,"about_ca_topic_score_gemma":0.0125180045,"teacher_disagreement_score":0.774849,"about_ca_system_score_codex":0.0000035681096,"about_ca_system_score_gemma":0.000045909623,"threshold_uncertainty_score":0.7791299},"labels":[],"label_agreement":null},{"id":"W3194640054","doi":"10.1111/cgf.14392","title":"From Noon to Sunset: Interactive Rendering, Relighting, and Recolouring of Landscape Photographs by Modifying Solar Position","year":2021,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","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":"Rendering (computer graphics); Computer science; Computer graphics (images); Sky; Sunset; Leverage (statistics); Computer graphics; Computer vision; Artificial intelligence; Global illumination; Position (finance); Remote sensing; Geology; Meteorology; Geography; Optics; Physics","score_opus":0.00755348728949742,"score_gpt":0.24406739225201077,"score_spread":0.23651390496251334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194640054","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":[0.12870993,0.00053681614,0.8691077,0.0008231538,0.0004715397,0.00010237272,0.0000140532675,0.000101442456,0.0001329718],"genre_scores_gemma":[0.8100459,0.00017688087,0.1882244,0.0014267795,0.000055794128,0.000007591914,0.000028779412,0.000019405396,0.000014468722],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99848837,0.00006652282,0.00030877886,0.0006009121,0.00021683588,0.000318613],"domain_scores_gemma":[0.99895525,0.0001352943,0.00015682355,0.0004463096,0.0001613008,0.00014501825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013349055,0.00018530285,0.00025242462,0.00025198396,0.00017812951,0.00018590967,0.0003660368,0.0000644343,0.000006170863],"category_scores_gemma":[0.00002203545,0.00019619965,0.000096823285,0.0005736994,0.000030897212,0.00058105215,0.00067893515,0.0002367259,0.0000025719896],"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":[0.00023259356,0.0009985542,0.049405005,0.00030462342,0.00068095705,0.0005124319,0.029969893,0.0008616726,0.17819352,0.023739168,0.047460407,0.66764116],"study_design_scores_gemma":[0.0014159023,0.00039101127,0.0052791936,0.00087407,0.000023308532,0.00010870511,0.00061470555,0.8124541,0.14534006,0.021231333,0.011409487,0.0008581525],"about_ca_topic_score_codex":0.000051998286,"about_ca_topic_score_gemma":0.000025821088,"teacher_disagreement_score":0.8115924,"about_ca_system_score_codex":0.000017027884,"about_ca_system_score_gemma":0.000022611579,"threshold_uncertainty_score":0.800079},"labels":[],"label_agreement":null},{"id":"W4210453740","doi":"10.1111/cgf.14443","title":"A Survey of Tasks and Visualizations in Multiverse Analysis Reports","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","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":"University of Toronto","funders":"","keywords":"Computer science; Data science; Terminology; Variety (cybernetics); Visualization; Archetype; Data mining; Artificial intelligence","score_opus":0.02673716764399995,"score_gpt":0.3004707295011269,"score_spread":0.27373356185712694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210453740","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":[0.030887395,0.00007242157,0.9685368,0.00011355082,0.00016110759,0.00009525186,0.00006335368,0.000041553936,0.000028563907],"genre_scores_gemma":[0.9963434,0.000022656412,0.0029800034,0.00039693055,0.0000035384835,0.0000058733895,0.00022127172,0.0000053360686,0.000021029828],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860215,0.00022476696,0.00038212378,0.00034957548,0.00027457,0.00016683129],"domain_scores_gemma":[0.9990401,0.00009963723,0.00020343412,0.000471416,0.00012538012,0.0000599963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007356058,0.00009349319,0.00022909843,0.0009800913,0.0001516024,0.00006140849,0.00036584216,0.000025005173,0.000012564762],"category_scores_gemma":[0.000034379216,0.00010412363,0.00007045608,0.004970769,0.000056454126,0.00021329141,0.0009034983,0.00009944065,3.035305e-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":[0.0000024507922,0.00022266859,0.8611952,0.000009058416,0.00014213112,0.00004478708,0.0005835601,0.0062904884,0.0000038700937,0.12884063,0.0013611411,0.0013040055],"study_design_scores_gemma":[0.00013973685,0.000041206426,0.24335238,0.0000025763743,0.000020277648,0.000005900676,0.000028394661,0.75462675,0.0000048945312,0.0006156625,0.0010669987,0.00009521738],"about_ca_topic_score_codex":0.00047700902,"about_ca_topic_score_gemma":0.00081575965,"teacher_disagreement_score":0.9655568,"about_ca_system_score_codex":0.00001651811,"about_ca_system_score_gemma":0.000049396585,"threshold_uncertainty_score":0.42460385},"labels":[],"label_agreement":null},{"id":"W4220957888","doi":"10.1111/cgf.14275","title":"Issue Information","year":2022,"lang":"en","type":"paratext","venue":"Computer Graphics Forum","topic":"BIM and Construction Integration","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; University of Toronto; Simon Fraser University","funders":"","keywords":"Computer science; Citation; Graphics; Information retrieval; World Wide Web; Computer graphics (images)","score_opus":0.0055985584128917226,"score_gpt":0.19670507342689056,"score_spread":0.19110651501399883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220957888","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":[0.00012437512,0.002687619,0.5694216,0.0003946608,0.108210415,0.00055399234,0.00052143843,0.0008884834,0.3171974],"genre_scores_gemma":[0.1463486,0.052059136,0.039621823,0.05232562,0.05280219,0.005696517,0.14914376,0.0026851355,0.49931723],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99910617,0.000018128474,0.00031723734,0.00012177533,0.0002125414,0.00022417655],"domain_scores_gemma":[0.99953556,0.000015492999,0.000070412156,0.00026433816,0.00006336838,0.000050850085],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000049403243,0.00023531335,0.0002023106,0.0004332407,0.00014685135,0.0001286148,0.00024265755,0.00024733195,0.0056606266],"category_scores_gemma":[9.59705e-7,0.00025860066,0.0001356384,0.00033303525,0.000031526695,0.00034597883,0.00007781927,0.00063148816,0.0056910394],"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":[0.0000014025321,0.0000028252953,0.0000051412194,0.00008298375,0.000046725916,3.0754452e-7,0.000068428024,0.0038804223,6.25948e-7,0.011564081,0.9341623,0.05018475],"study_design_scores_gemma":[0.000104368046,0.000029547553,0.000011355199,0.00002204921,0.000010538371,0.000014096233,0.000030565505,0.061691877,0.000020102903,0.00036315038,0.9374492,0.00025315036],"about_ca_topic_score_codex":0.000010937202,"about_ca_topic_score_gemma":0.0000050980834,"teacher_disagreement_score":0.52979976,"about_ca_system_score_codex":0.00006565611,"about_ca_system_score_gemma":0.000030753956,"threshold_uncertainty_score":0.99998665},"labels":[],"label_agreement":null},{"id":"W4221141447","doi":"10.1111/cgf.14504","title":"A Survey on Reinforcement Learning Methods in Character Animation","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","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 British Columbia","funders":"European Commission","keywords":"Crowds; Reinforcement learning; Computer science; Animation; Character (mathematics); Human–computer interaction; Artificial intelligence; Control (management); Virtual reality; Reinforcement; Engineering; Computer security","score_opus":0.03221259735262973,"score_gpt":0.28688741628703096,"score_spread":0.25467481893440125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221141447","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":[0.14623773,0.00003328729,0.8510381,0.00012512966,0.00085448514,0.00024023445,0.0000044293556,0.00032798096,0.0011385947],"genre_scores_gemma":[0.99792933,0.000010672791,0.001432106,0.00030866792,0.000034424847,0.000026507812,0.00015819937,0.00001855198,0.00008153735],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991908,0.00019393385,0.0001975417,0.00011414552,0.00013969539,0.00016388441],"domain_scores_gemma":[0.9997683,0.000057378053,0.000033471602,0.00009773341,0.00001612459,0.000026969785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006848353,0.00008815312,0.000098305376,0.00029448708,0.00012451138,0.00003309803,0.00009096542,0.000025732084,0.000112896276],"category_scores_gemma":[0.000007711595,0.000102108934,0.00003915124,0.0003022611,0.000006517254,0.00008264519,0.000057040976,0.00032567471,0.000015215367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018585608,0.00005878771,0.0144943725,0.000039743027,0.00002905886,0.000004556511,0.0011851249,0.9104985,0.0005856097,0.03263591,0.004432857,0.036016908],"study_design_scores_gemma":[0.00020301029,0.000105638996,0.13832863,0.000009171052,0.0000010505154,8.1227785e-7,0.000015061268,0.8479074,0.000058593036,0.00017635697,0.013090049,0.00010420768],"about_ca_topic_score_codex":0.0000098587625,"about_ca_topic_score_gemma":0.00001822068,"teacher_disagreement_score":0.8516916,"about_ca_system_score_codex":0.00006892228,"about_ca_system_score_gemma":0.0000043530044,"threshold_uncertainty_score":0.41638815},"labels":[],"label_agreement":null},{"id":"W4224241337","doi":"10.1111/cgf.14527","title":"Infographics Wizard: Flexible Infographics Authoring and Design Exploration","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","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 Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Infographic; Computer science; Wizard; Representation (politics); Human–computer interaction; Multimedia; World Wide Web; Data mining","score_opus":0.05201679111776838,"score_gpt":0.2832203008529653,"score_spread":0.2312035097351969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224241337","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":[0.00057404547,0.00022869589,0.99549395,0.001808225,0.0008990032,0.00028965523,0.000014479932,0.00056486746,0.00012705768],"genre_scores_gemma":[0.69960546,0.0017792896,0.27969685,0.017502215,0.0003588346,0.00028596332,0.0003644978,0.00013312532,0.00027376993],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99751467,0.00024312569,0.0004642928,0.00059657847,0.00068461854,0.0004967133],"domain_scores_gemma":[0.99848527,0.00015219394,0.00021254894,0.0007793488,0.00015938809,0.00021127239],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009502915,0.00027513277,0.00025465066,0.001118541,0.0011521652,0.0006543839,0.0011720512,0.000083427556,0.000008996849],"category_scores_gemma":[0.000022872162,0.00030828489,0.00012798536,0.003294019,0.00013390649,0.0016021006,0.0017791578,0.0004465308,0.000004985197],"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":[0.000007190688,0.000090746114,0.0038260578,0.000021188824,0.00004908929,0.000013282484,0.00073064223,0.004629685,0.000011959788,0.96962076,0.010365458,0.010633938],"study_design_scores_gemma":[0.0004715629,0.00034934262,0.0005719574,0.000016189846,0.000017835768,0.000039632512,0.00014511714,0.84830356,0.00006702354,0.057581756,0.09198829,0.00044775076],"about_ca_topic_score_codex":0.000009866699,"about_ca_topic_score_gemma":0.0000063236453,"teacher_disagreement_score":0.912039,"about_ca_system_score_codex":0.000026460166,"about_ca_system_score_gemma":0.00010054093,"threshold_uncertainty_score":0.99993694},"labels":[],"label_agreement":null},{"id":"W4236119629","doi":"10.1111/j.1467-8659.2008.01157.x","title":"Viewfinder Alignment","year":2008,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Nokia (Canada)","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence; Panorama; Computer graphics (images); Frame (networking); Point (geometry); Similarity (geometry); Image (mathematics); Mathematics","score_opus":0.02254480104889995,"score_gpt":0.2530835375820687,"score_spread":0.23053873653316875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236119629","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":[0.0012362151,0.0002959851,0.9941361,0.0021499183,0.0008670034,0.00010303729,5.823908e-7,0.0002829618,0.00092821795],"genre_scores_gemma":[0.5017781,0.0003943775,0.47835538,0.018947085,0.00018180351,0.000015828951,0.0000042683782,0.000026736541,0.00029640537],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998606,0.00003297294,0.00022015747,0.0004137014,0.00031559763,0.00041155636],"domain_scores_gemma":[0.9990157,0.000041001844,0.00006629474,0.00066522876,0.000068112495,0.00014366202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010198984,0.00016350209,0.0001611373,0.0001660283,0.00032077896,0.00006497295,0.0008451984,0.0000412507,0.000008134283],"category_scores_gemma":[0.0000041075987,0.00014831276,0.0001208591,0.0004641345,0.00008610874,0.0005322193,0.00054306997,0.0001557393,0.00009481826],"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":[0.0000031764957,0.00016851681,0.007385309,0.000011613495,0.00003343069,0.00016272771,0.0006201795,0.00011732391,0.00010163202,0.7484426,0.06326912,0.17968437],"study_design_scores_gemma":[0.0006978245,0.00014363014,0.008837264,0.00003972345,0.000003137042,0.00034074642,0.000010123961,0.6481985,0.0007892976,0.037644118,0.30278853,0.00050712354],"about_ca_topic_score_codex":0.0000028717454,"about_ca_topic_score_gemma":7.9064495e-7,"teacher_disagreement_score":0.7107985,"about_ca_system_score_codex":0.000019295623,"about_ca_system_score_gemma":0.000032189597,"threshold_uncertainty_score":0.6048019},"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":"W4245796625","doi":"10.1111/cgf.13235","title":"Front Matter","year":2017,"lang":"en","type":"paratext","venue":"Computer Graphics Forum","topic":"Face recognition and analysis","field":"Computer Science","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 Massachusetts Amherst; Université de Lyon; Technische Universität Berlin; Universität des Saarlandes; Zhejiang University; Technische Universität Wien; Technische Universiteit Delft; University College London; Institute of Science and Technology Austria; University of California, Irvine; University of California, Santa Barbara; McGill University; Microsoft Research Asia; Dartmouth College; České Vysoké Učení Technické v Praze; Purdue University; National Taiwan Normal University; Univerzita Karlova v Praze; Nvidia; Universidad de Zaragoza; Microsoft Research","keywords":"Computer science; Computer graphics (images); Front (military); Geology","score_opus":0.01782574616833541,"score_gpt":0.25544085209283146,"score_spread":0.23761510592449606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245796625","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":[0.0000101912765,0.0010577276,0.8904086,0.003840153,0.0078120446,0.0001910349,0.00006765004,0.0001236958,0.09648894],"genre_scores_gemma":[0.003974589,0.0032080277,0.06430172,0.031101555,0.00327601,0.0001424331,0.0011537487,0.000217252,0.8926247],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99728656,0.00009413611,0.0004364726,0.0010142222,0.0004732331,0.00069540314],"domain_scores_gemma":[0.9967572,0.000055242846,0.000459112,0.0022722064,0.00021771427,0.0002385432],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001892534,0.0005254143,0.0007028294,0.00064721896,0.0005464105,0.0014179504,0.003599981,0.0004709358,0.0032404433],"category_scores_gemma":[0.000004173116,0.00048782583,0.00071954477,0.00020784076,0.00014150955,0.00050267327,0.0013422855,0.00068939227,0.13230726],"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":[9.705491e-7,0.00004140259,0.00008147454,0.00004822491,0.00015717407,0.000017184475,0.000034998087,0.00001395612,9.222874e-7,0.002681311,0.9824209,0.014501434],"study_design_scores_gemma":[0.00024734353,0.000046649322,0.00015784148,0.00020080827,0.000038795155,0.00002422395,0.0000019806203,0.054921355,0.000033086413,0.0023936557,0.94122916,0.0007050892],"about_ca_topic_score_codex":0.00005244723,"about_ca_topic_score_gemma":0.000029290968,"teacher_disagreement_score":0.82610685,"about_ca_system_score_codex":0.000037633123,"about_ca_system_score_gemma":0.00012403923,"threshold_uncertainty_score":0.99975735},"labels":[],"label_agreement":null},{"id":"W4248043334","doi":"10.1111/cgf.12045","title":"Stroke Parameterization","year":2013,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Autodesk (Canada)","funders":"","keywords":"Computer science; Computer graphics; Surface (topology); Ideal (ethics); Computer graphics (images); Texture mapping; Graphics; Planar; Plane (geometry); Exponential function; Computer vision; Artificial intelligence; Algorithm; Geometry; Mathematics; Mathematical analysis","score_opus":0.007007411524223954,"score_gpt":0.17772196547392136,"score_spread":0.1707145539496974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248043334","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":[0.18287937,0.00009188573,0.81602776,0.00010478975,0.00024776548,0.00004927387,0.0000026862824,0.00031365606,0.00028279593],"genre_scores_gemma":[0.99507755,0.000048975922,0.0045052185,0.00020401782,0.00006870187,0.000010814249,0.000018438934,0.00001793807,0.000048354992],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994989,0.0000072016583,0.00012468714,0.000102767066,0.00008331562,0.00018310039],"domain_scores_gemma":[0.999722,0.000013450273,0.000011870391,0.00016432199,0.000036261332,0.000052082487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000028572416,0.00009089442,0.00009843444,0.00012293106,0.00004543947,0.00007456349,0.00010569375,0.000050789215,0.000028786013],"category_scores_gemma":[0.000001358928,0.00008793774,0.00007949384,0.00016912448,0.000013848757,0.000113702015,0.000023514762,0.00008584816,0.00010213188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000017798371,0.00007393348,0.017629381,0.00010152466,0.0004885121,0.00000571713,0.0003157999,0.72266704,0.0025041986,0.014429531,0.045663044,0.19611956],"study_design_scores_gemma":[0.000061951,0.000012184141,0.0005983257,0.0000075409303,0.00000875252,9.824706e-7,0.000005093753,0.99634033,0.00016960138,0.0018782656,0.0008096086,0.00010736736],"about_ca_topic_score_codex":0.000011339146,"about_ca_topic_score_gemma":0.000002839912,"teacher_disagreement_score":0.81219816,"about_ca_system_score_codex":0.000006464572,"about_ca_system_score_gemma":0.0000020976524,"threshold_uncertainty_score":0.35859972},"labels":[],"label_agreement":null},{"id":"W4252599270","doi":"10.1111/cgf.12964","title":"Near‐Isometric Level Set Tracking","year":2016,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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 Toronto","funders":"","keywords":"Computer science; Isometric exercise; Set (abstract data type); Tracking (education); Computer graphics; Computer vision; Algorithm; Deformation (meteorology); Artificial intelligence","score_opus":0.059754294446117975,"score_gpt":0.30014752162256614,"score_spread":0.24039322717644818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252599270","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":[0.0059987158,0.00016557919,0.9899694,0.0016031786,0.00096850196,0.00022768123,0.000013868177,0.0009478347,0.00010528133],"genre_scores_gemma":[0.9245034,0.00018591766,0.07270215,0.0022623735,0.00018922452,0.000024220924,0.000007167278,0.000039740324,0.000085813714],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99744177,0.00010314566,0.0004812246,0.0007921358,0.0005253134,0.00065639813],"domain_scores_gemma":[0.99787325,0.00022359034,0.00019303845,0.0011642441,0.00032528656,0.00022058873],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005038555,0.0003237194,0.00029644577,0.001038653,0.00038842182,0.0006639842,0.0019671188,0.00016167683,0.00000851257],"category_scores_gemma":[0.000029508676,0.00024685316,0.00025708188,0.0028376775,0.00014720006,0.0007619153,0.0010410427,0.0001700861,0.000034990568],"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":[0.0000019803902,0.00005901494,0.009549858,0.000009284276,0.00002781602,0.000009623833,0.000110324014,0.0000023199764,0.000037518017,0.8550969,0.010912206,0.12418319],"study_design_scores_gemma":[0.0018678572,0.0010152472,0.047522683,0.00032145137,0.00001991946,0.0001570173,0.000007742889,0.49522066,0.0042126193,0.25460312,0.19323541,0.0018162797],"about_ca_topic_score_codex":0.000013332463,"about_ca_topic_score_gemma":0.000010348328,"teacher_disagreement_score":0.91850466,"about_ca_system_score_codex":0.000035116158,"about_ca_system_score_gemma":0.00008940796,"threshold_uncertainty_score":0.9999984},"labels":[],"label_agreement":null},{"id":"W4280596375","doi":"10.1111/cgf.14573","title":"Chart Question Answering: State of the Art and Future Directions","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Multimodal Machine Learning Applications","field":"Computer Science","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":"York University","funders":"","keywords":"Question answering; Computer science; Bar chart; Chart; Pie chart; Information retrieval; Task (project management); Domain (mathematical analysis); Data science; Artificial intelligence","score_opus":0.00627797374679749,"score_gpt":0.2314319068587537,"score_spread":0.22515393311195622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280596375","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":[0.17641027,0.00042945013,0.7827832,0.036972374,0.00211848,0.00053655397,0.000026366606,0.0003901015,0.00033318598],"genre_scores_gemma":[0.98498017,0.00006940384,0.013876675,0.00078804273,0.00009694909,0.00007901546,0.000006402495,0.000012428394,0.0000909044],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99906296,0.0001267976,0.00015960817,0.0002661348,0.00022160789,0.00016289896],"domain_scores_gemma":[0.9991931,0.00004821681,0.00011332766,0.0005494424,0.00005009369,0.00004587175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023637187,0.00009422237,0.000097707365,0.00012296201,0.00058657944,0.00005047565,0.00062025146,0.000018296048,0.00000391842],"category_scores_gemma":[0.0000038035207,0.00008079866,0.00006559437,0.0007269415,0.00006271425,0.00011723089,0.00085468695,0.0003231881,0.0000021562585],"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":[0.0000044095787,0.00014520079,0.032739837,0.000020385314,0.00003692805,0.0000013184716,0.0014739188,0.0029302977,0.00021595156,0.7854877,0.003298659,0.17364538],"study_design_scores_gemma":[0.00015597531,0.00008248611,0.2224642,0.00000663292,0.000005266947,0.000035981175,0.000012979383,0.44785717,0.00006512822,0.013722002,0.3154586,0.0001335634],"about_ca_topic_score_codex":0.00005532945,"about_ca_topic_score_gemma":0.000017907378,"teacher_disagreement_score":0.8085699,"about_ca_system_score_codex":0.000017567027,"about_ca_system_score_gemma":0.000026177648,"threshold_uncertainty_score":0.4511554},"labels":[],"label_agreement":null},{"id":"W4281482045","doi":"10.1111/cgf.14479","title":"Fast and Exact Root Parity for Continuous Collision Detection","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Formal Methods in Verification","field":"Computer Science","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 Victoria","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China; National Science Foundation","keywords":"Parity (physics); Collision; Computer science; Root (linguistics); Collision detection; Algorithm; Parity bit; Mathematics; Physics; Particle physics","score_opus":0.017323379184455003,"score_gpt":0.26088820989430883,"score_spread":0.24356483070985382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281482045","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":[0.056125496,0.000105044484,0.9410558,0.00031815522,0.001646258,0.0004938408,0.000013132482,0.00019546233,0.000046846966],"genre_scores_gemma":[0.718655,0.000009992,0.28062767,0.0004072582,0.00007625699,0.0001745011,0.00000989547,0.0000148599875,0.00002460197],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984998,0.00017453183,0.0002575081,0.00047449986,0.00027225004,0.00032138813],"domain_scores_gemma":[0.99900097,0.00014953809,0.00015624531,0.0005067377,0.00010328583,0.00008320649],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009071649,0.00014654739,0.00018348826,0.00021334815,0.00083507824,0.00017930767,0.00064384507,0.00006078382,0.0000019798929],"category_scores_gemma":[0.000029435094,0.00015847606,0.00009083671,0.0005404367,0.000059817743,0.0004074723,0.0007586925,0.00023905079,0.0000012303176],"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":[0.00007381554,0.00016769778,0.006013985,0.000049191927,0.00003600249,0.0000047026297,0.0005131822,0.0009831948,0.00047134137,0.58150464,0.0023303395,0.40785193],"study_design_scores_gemma":[0.00058802543,0.0007874284,0.012193371,0.0000066523185,0.000007019,0.000064731714,0.00003563733,0.9368531,0.0017007892,0.018789966,0.028720936,0.00025235352],"about_ca_topic_score_codex":0.000018863948,"about_ca_topic_score_gemma":0.00001903986,"teacher_disagreement_score":0.9358699,"about_ca_system_score_codex":0.000053543918,"about_ca_system_score_gemma":0.000026395672,"threshold_uncertainty_score":0.6462466},"labels":[],"label_agreement":null},{"id":"W4281490671","doi":"10.1111/cgf.14515","title":"Seeking Patterns of Visual Pattern Discovery for Knowledge Building","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","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":"Simon Fraser University","funders":"","keywords":"Visual analytics; Computer science; Interactive visual analysis; Salient; Data science; Visualization; Cultural analytics; Visual reasoning; Empirical research; Exploratory data analysis; Data visualization; Process (computing); Eye tracking; Construct (python library); Analytics; Human–computer interaction; Information visualization; Artificial intelligence; Data mining","score_opus":0.022538683845789668,"score_gpt":0.30015239503322394,"score_spread":0.2776137111874343,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281490671","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":[0.015873292,0.00006884179,0.98223376,0.0002801449,0.0011180926,0.00018798043,0.00011530499,0.00010224444,0.000020349966],"genre_scores_gemma":[0.99312615,0.000011241033,0.005436811,0.0010841121,0.00011732445,0.000031809508,0.000096035394,0.000022568704,0.00007395629],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99845034,0.00008343464,0.0003783709,0.0004282643,0.0003010543,0.00035851388],"domain_scores_gemma":[0.9989845,0.00018033375,0.000205048,0.00045594404,0.00010394248,0.00007020095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003771563,0.00016556506,0.00023680899,0.00036156154,0.0003603062,0.0002077815,0.0012183781,0.000033888122,0.000006559572],"category_scores_gemma":[0.000010326983,0.00017708394,0.00020348461,0.0006098588,0.000029609631,0.00053546665,0.0017723208,0.0001488708,0.0000012232788],"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":[0.0000075105218,0.0005855455,0.03591593,0.00018928437,0.000107983135,0.000008424656,0.0009970458,0.0006577506,0.00026865164,0.9027707,0.0055748816,0.05291631],"study_design_scores_gemma":[0.0005060054,0.00031552024,0.00088703807,0.000038673617,0.000013082628,0.000010054016,0.00008403174,0.9703492,0.00042365285,0.0035671468,0.023542576,0.0002630083],"about_ca_topic_score_codex":0.000014109277,"about_ca_topic_score_gemma":0.000012705111,"teacher_disagreement_score":0.97725284,"about_ca_system_score_codex":0.000032991888,"about_ca_system_score_gemma":0.00006282597,"threshold_uncertainty_score":0.7221274},"labels":[],"label_agreement":null},{"id":"W4288753048","doi":"10.1111/cgf.14585","title":"Single‐pass stratified importance resampling","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Image and Signal Denoising Methods","field":"Computer Science","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; École de Technologie Supérieure; University of Waterloo","funders":"Autodesk","keywords":"Resampling; Computer science; Sampling (signal processing); Stratified sampling; Monte Carlo method; Rendering (computer graphics); Algorithm; Data mining; Statistics; Mathematics; Artificial intelligence; Computer vision; Filter (signal processing)","score_opus":0.03760694138831873,"score_gpt":0.2704008726674493,"score_spread":0.23279393127913056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288753048","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":[0.011641017,0.00030451987,0.9833028,0.0015925217,0.0017265459,0.00016594045,0.0000054838483,0.00034363204,0.00091754354],"genre_scores_gemma":[0.5843035,0.000007724012,0.40896785,0.00618366,0.00023054962,0.000041874246,0.000017721175,0.000034130033,0.00021297218],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99758554,0.00026688207,0.00038432068,0.0006298228,0.00056835584,0.0005650701],"domain_scores_gemma":[0.99847233,0.00020333989,0.0001665841,0.0009455441,0.00009309929,0.00011909127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009106444,0.00020968163,0.00023737144,0.0002716399,0.0008465579,0.00037805567,0.0016894743,0.000050203023,0.000022293889],"category_scores_gemma":[0.000016774995,0.00022580143,0.00017518736,0.0010814357,0.00006238191,0.00044019485,0.0011919842,0.00048240682,0.0000070431033],"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":[0.00003013352,0.00023856421,0.0020439841,0.000020588765,0.000056690522,0.00029141945,0.0006692051,0.0012166704,0.0033207887,0.8989872,0.0160595,0.07706529],"study_design_scores_gemma":[0.0016893195,0.0010290426,0.004047384,0.00003174547,0.000020703137,0.00035726628,0.00009589713,0.5931763,0.0026639043,0.28271666,0.11298013,0.0011916051],"about_ca_topic_score_codex":0.000013587957,"about_ca_topic_score_gemma":0.0000074016243,"teacher_disagreement_score":0.6162705,"about_ca_system_score_codex":0.00006134817,"about_ca_system_score_gemma":0.00008084074,"threshold_uncertainty_score":0.9207915},"labels":[],"label_agreement":null},{"id":"W4291138169","doi":"10.1111/cgf.14532","title":"Barrio: Customizable Spatial Neighborhood Analysis and Comparison for Nanoscale Brain Structures","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","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":"Kootenay Association for Science & Technology","funders":"National Science Foundation","keywords":"Workflow; Computer science; Scalability; Visualization; Domain (mathematical analysis); Function (biology); Brain atlas; Organelle; Human–computer interaction; Data science; Data mining; Artificial intelligence; Biology; Database","score_opus":0.0054776419817737804,"score_gpt":0.24982803514393337,"score_spread":0.2443503931621596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4291138169","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":[0.15763551,0.00062433066,0.84064376,0.00042920292,0.000091438924,0.0003558381,0.000065436885,0.00005284478,0.000101620586],"genre_scores_gemma":[0.99258435,0.000024103168,0.0049439645,0.0013868851,0.000116862095,0.0000797032,0.00070836337,0.000026390006,0.00012937919],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862564,0.00009254662,0.0002750596,0.0005283945,0.00016979092,0.0003085992],"domain_scores_gemma":[0.9991928,0.000037623864,0.00013434736,0.0004694018,0.00007915576,0.00008671858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023190251,0.00019288946,0.00033161353,0.0002956344,0.0003865588,0.000068739864,0.0003174461,0.00009405826,0.000030476958],"category_scores_gemma":[0.000017653409,0.00020478376,0.00034109983,0.00045319286,0.00008359327,0.000005594961,0.00057898276,0.00014425823,2.2943593e-7],"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":[0.0005820621,0.0005930262,0.4051991,0.00010581957,0.0060565104,0.000013988736,0.000368958,0.0046710707,0.12824129,0.01236532,0.4023483,0.039454527],"study_design_scores_gemma":[0.0027468028,0.0024201649,0.018069383,0.000006075416,0.0017490064,0.000032487078,0.00025532275,0.48571193,0.14612038,0.012199283,0.32923663,0.0014525279],"about_ca_topic_score_codex":0.0001399227,"about_ca_topic_score_gemma":0.0006248905,"teacher_disagreement_score":0.8356998,"about_ca_system_score_codex":0.000012499146,"about_ca_system_score_gemma":0.000029175468,"threshold_uncertainty_score":0.83508396},"labels":[],"label_agreement":null},{"id":"W4297846303","doi":"10.1111/cgf.14505","title":"Neural Fields in Visual Computing and Beyond","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":449,"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":"National Science Foundation","keywords":"Computer science; Artificial intelligence; Field (mathematics); Artificial neural network; Flexibility (engineering); Focus (optics); Context (archaeology); Animation; Rotation formalisms in three dimensions; Representation (politics); Computer graphics (images)","score_opus":0.012497453332494902,"score_gpt":0.2798334793443295,"score_spread":0.2673360260118346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297846303","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":[0.09912791,0.00025874644,0.89796215,0.0011939782,0.00075901236,0.00022548184,0.0000024972148,0.00036959906,0.00010059679],"genre_scores_gemma":[0.9852602,0.0000281221,0.009613379,0.004980073,0.00006286727,0.000020488675,0.00001014344,0.000016699863,0.000008060646],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99795324,0.00018305863,0.0004074773,0.0006201394,0.00037624466,0.00045981637],"domain_scores_gemma":[0.9991525,0.00013808064,0.00012445818,0.00041695076,0.00005781451,0.00011023101],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000513142,0.00022132821,0.0002572016,0.00077601086,0.0005009067,0.00027401408,0.0009745652,0.00006702021,0.0000057932452],"category_scores_gemma":[0.0000045442525,0.00025154153,0.000099787794,0.0014662743,0.00006681193,0.00033360437,0.0029515456,0.000500515,6.370957e-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":[0.0000039539095,0.00012822582,0.021830244,0.0000127089,0.000010963991,0.000041665822,0.0007601617,0.0002812027,0.0000033884191,0.9354498,0.001855722,0.039621975],"study_design_scores_gemma":[0.00037459953,0.00038829114,0.008077885,0.000008152249,0.000002063466,0.0000725943,0.00003279283,0.9512183,0.000029417746,0.036276832,0.00322763,0.00029144782],"about_ca_topic_score_codex":0.000039722185,"about_ca_topic_score_gemma":0.00003103962,"teacher_disagreement_score":0.9509371,"about_ca_system_score_codex":0.000028709117,"about_ca_system_score_gemma":0.00003624813,"threshold_uncertainty_score":0.9999937},"labels":[],"label_agreement":null},{"id":"W4309790058","doi":"10.1111/cgf.14720","title":"Differentiable Depth for Real2Sim Calibration of Soft Body Simulations","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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","funders":"Danmarks Frie Forskningsfond","keywords":"Differentiable function; Computer science; Calibration; Computer graphics (images); Computer vision; Artificial intelligence; Mathematics; Mathematical analysis; Statistics","score_opus":0.014184809752822452,"score_gpt":0.2224638860775362,"score_spread":0.20827907632471374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309790058","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":[0.06762762,0.000084327825,0.9317017,0.000065971355,0.0001827981,0.000099394085,0.000077606324,0.00013139313,0.000029154478],"genre_scores_gemma":[0.99765044,0.000005183782,0.001914745,0.000059044232,0.00004543376,0.000022921091,0.0002393826,0.00002223343,0.0000406247],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993917,0.000014272154,0.00019781734,0.00011701567,0.000120634846,0.00015856928],"domain_scores_gemma":[0.9996674,0.000060094368,0.00003355629,0.00017101299,0.00003697211,0.00003094619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006020862,0.00008399597,0.00014020642,0.0001728778,0.00018099368,0.00001883786,0.00012340088,0.000028634944,0.000017083334],"category_scores_gemma":[0.0000026948333,0.00009266766,0.00012746497,0.00026328955,0.000011362794,0.000059694954,0.00005504028,0.000090029345,2.1839683e-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":[0.0000026126793,0.000027767228,0.001940281,0.00003207514,0.00006663348,1.7336671e-7,0.000058043992,0.98883665,0.00013524534,0.0056842193,0.0025638952,0.0006523934],"study_design_scores_gemma":[0.00017987675,0.000041057745,0.00015708142,0.0000049882306,0.00003728251,4.6165687e-7,0.000013851715,0.99274397,0.00018674012,0.0055639097,0.00097359525,0.00009719961],"about_ca_topic_score_codex":0.000010475388,"about_ca_topic_score_gemma":0.000023570272,"teacher_disagreement_score":0.9300228,"about_ca_system_score_codex":0.0000136472,"about_ca_system_score_gemma":0.0000087377175,"threshold_uncertainty_score":0.37788776},"labels":[],"label_agreement":null},{"id":"W4318620531","doi":"10.1111/cgf.14766","title":"Preserving the autocovariance of texture tilings using importance sampling","year":2023,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":7,"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; Agence Nationale de la Recherche; Université de Sherbrooke","keywords":"Autocovariance; Texture synthesis; Randomness; Aperiodic graph; Texture (cosmology); Algorithm; Computer science; Sampling (signal processing); Mathematics; Function (biology); Artificial intelligence; Computer vision; Image texture; Statistics; Image (mathematics); Image processing; Combinatorics; Filter (signal processing); Mathematical analysis","score_opus":0.05681724904574417,"score_gpt":0.32675872241125226,"score_spread":0.2699414733655081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318620531","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":[0.0053791036,0.00036828505,0.9920304,0.00085421867,0.00032876525,0.00033304837,0.000004028905,0.0006306865,0.00007146797],"genre_scores_gemma":[0.53392476,0.00027254393,0.4636079,0.0017746079,0.00025113465,0.00003184154,0.000007896486,0.000049471753,0.00007985772],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99830186,0.000047820766,0.00039256073,0.000440753,0.0003462135,0.00047077273],"domain_scores_gemma":[0.9981851,0.00024961308,0.00025448584,0.0010610597,0.00019064551,0.000059123955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057227554,0.0001915383,0.00023706183,0.000208076,0.00030533006,0.00013344266,0.0018182079,0.00009374702,0.0000020472553],"category_scores_gemma":[0.00005968359,0.00014652203,0.00015502324,0.0022553003,0.000119361524,0.00069897884,0.0011617694,0.0003099306,0.0000038141118],"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":[0.000015723368,0.000065051914,0.013582759,0.00019152356,0.000093587834,0.000052193984,0.0011866742,0.0029079588,0.0045437217,0.8997901,0.007005744,0.07056496],"study_design_scores_gemma":[0.00014656314,0.00006762666,0.0037725128,0.0001430243,0.000007662909,0.000022489343,0.00002201127,0.80591595,0.0048052655,0.17416663,0.010685988,0.0002442815],"about_ca_topic_score_codex":0.000014667204,"about_ca_topic_score_gemma":0.000004151307,"teacher_disagreement_score":0.80300796,"about_ca_system_score_codex":0.00001883117,"about_ca_system_score_gemma":0.00006057456,"threshold_uncertainty_score":0.5974995},"labels":[],"label_agreement":null},{"id":"W4321351659","doi":"10.1111/cgf.14734","title":"ZeroEGGS: Zero‐shot Example‐based Gesture Generation from Speech","year":2023,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ubisoft (Canada); York University","funders":"","keywords":"Computer science; Gesture; Naturalness; Motion (physics); Flexibility (engineering); Embedding; Artificial intelligence; Variety (cybernetics); Speech recognition; Natural language processing; Mathematics","score_opus":0.07069636963055777,"score_gpt":0.268890957320474,"score_spread":0.19819458768991627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321351659","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":[0.09262711,0.000039994604,0.901561,0.0020901887,0.0021109236,0.0002493276,0.000020823007,0.0010211292,0.00027951415],"genre_scores_gemma":[0.9550993,0.000050705377,0.035358943,0.0073409732,0.0010812475,0.000052194715,0.00079412677,0.000039994917,0.00018249881],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99810004,0.00011878802,0.00029917352,0.00064087944,0.00040494272,0.00043618996],"domain_scores_gemma":[0.99878436,0.00014556212,0.00010930463,0.00069352123,0.00013237508,0.00013487575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029344592,0.0002298561,0.00019643355,0.0004130057,0.00035210745,0.00041567447,0.0006768692,0.00016164932,0.00003340169],"category_scores_gemma":[0.000008692241,0.00023023608,0.00016135241,0.0010233163,0.000043289056,0.0005533565,0.00023163887,0.00026129253,0.00048841175],"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":[0.000019250758,0.0003047488,0.004707843,0.00003181578,0.0001618562,0.00023509981,0.0006780079,0.0015048223,0.0065362137,0.33321032,0.505949,0.14666097],"study_design_scores_gemma":[0.0007804903,0.0001548493,0.011789756,0.00004443574,0.000016461869,0.0000113970455,0.0000090437225,0.85270697,0.0072647273,0.06024011,0.0664687,0.0005130419],"about_ca_topic_score_codex":0.00010469918,"about_ca_topic_score_gemma":0.00008743586,"teacher_disagreement_score":0.86620206,"about_ca_system_score_codex":0.000024621022,"about_ca_system_score_gemma":0.00005247135,"threshold_uncertainty_score":0.9388755},"labels":[],"label_agreement":null},{"id":"W4322588019","doi":"10.1111/cgf.14737","title":"Multi‐agent Path Planning with Heterogenous Interactions in Tight Spaces","year":2023,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Robotic Path Planning Algorithms","field":"Computer Science","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":"Natural Sciences and Engineering Research Council of Canada; Connaught Fund; National Science Foundation","keywords":"Initialization; Solver; Computer science; Motion planning; Path (computing); Set (abstract data type); Mathematical optimization; Collision detection; Shortest path problem; Space (punctuation); Dijkstra's algorithm; Crowd simulation; Algorithm; Collision; Theoretical computer science; Artificial intelligence; Mathematics; Crowds; Robot","score_opus":0.043122623680349165,"score_gpt":0.2876624075442743,"score_spread":0.24453978386392514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322588019","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":[0.062336467,0.00010580646,0.9341562,0.0010144358,0.0013372564,0.00024215106,0.000005135482,0.0007458507,0.000056731336],"genre_scores_gemma":[0.57343024,0.000021434937,0.42543414,0.0007318059,0.00012661613,0.000062182655,0.00003087487,0.000043191387,0.00011951567],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978838,0.00008967236,0.0003111566,0.000632154,0.00035397738,0.00072927173],"domain_scores_gemma":[0.99881554,0.00017035838,0.00012095251,0.00067015603,0.000067410816,0.00015556725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029356676,0.00026706042,0.00027123888,0.0007885752,0.000243198,0.00029268605,0.0009501909,0.00006206283,0.000001145581],"category_scores_gemma":[0.000009356835,0.00023511495,0.00008583157,0.0017998529,0.00006704793,0.0004872007,0.00050086365,0.00040306474,0.000089569105],"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":[0.00005583837,0.0010319836,0.56069,0.00017580329,0.0004298953,0.008824484,0.025050456,0.31892025,0.00041364587,0.027990455,0.02643527,0.0299819],"study_design_scores_gemma":[0.00054770894,0.00016044485,0.044066317,0.00022441827,0.000004725973,0.00014260356,0.000086222775,0.9511596,0.000056410925,0.00039526506,0.0028324572,0.00032381632],"about_ca_topic_score_codex":0.00005571985,"about_ca_topic_score_gemma":0.000030488838,"teacher_disagreement_score":0.63223934,"about_ca_system_score_codex":0.000050788563,"about_ca_system_score_gemma":0.000057117162,"threshold_uncertainty_score":0.95877093},"labels":[],"label_agreement":null},{"id":"W4328028319","doi":"10.1111/cgf.14625","title":"Surface‐Only Dynamic Deformables using a Boundary Element Method","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Boundary element method; Computer science; Animation; Simple (philosophy); Linear elasticity; Surface (topology); Elasticity (physics); Constraint (computer-aided design); Element (criminal law); Displacement (psychology); Boundary (topology); Algorithm; Finite element method; Computer graphics (images); Geometry; Mathematics; Structural engineering; Mathematical analysis; Physics","score_opus":0.01346040172816328,"score_gpt":0.2503628769689533,"score_spread":0.23690247524079003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4328028319","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":[0.18163225,0.00089475163,0.8164768,0.000087471235,0.00046362283,0.00007202397,0.00003136786,0.00027734277,0.00006434317],"genre_scores_gemma":[0.92428666,0.000057430454,0.07518869,0.00028223314,0.000035537272,0.000006600078,0.000059646154,0.000049487284,0.00003368389],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987278,0.000059693368,0.00028105942,0.00022621102,0.00027903513,0.00042623107],"domain_scores_gemma":[0.9995419,0.000028508965,0.000040256222,0.00028559702,0.000031688476,0.00007205705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037114465,0.000187479,0.00023037227,0.00023059282,0.00051027484,0.00008221429,0.00027255548,0.000038478018,0.00003701659],"category_scores_gemma":[9.0745687e-7,0.00020471285,0.00020485581,0.00053572113,0.00002089125,0.00010084402,0.00025467342,0.00031653515,0.0000037989207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024871686,0.000020137915,0.00075690186,0.000026931997,0.00015349689,0.0000085821,0.00012841773,0.9900221,0.00012403891,0.00074988225,0.00055871624,0.007448282],"study_design_scores_gemma":[0.00018591064,0.000035594392,0.00004517268,0.000010532894,0.000052082145,0.000037454098,0.00008944283,0.9900906,0.000030290223,0.0020658541,0.007112028,0.00024504826],"about_ca_topic_score_codex":0.00004219902,"about_ca_topic_score_gemma":0.000042391814,"teacher_disagreement_score":0.74265444,"about_ca_system_score_codex":0.00012602644,"about_ca_system_score_gemma":0.00004304967,"threshold_uncertainty_score":0.83479476},"labels":[],"label_agreement":null},{"id":"W4328028330","doi":"10.1111/cgf.14631","title":"Cognitive Model of Agent Exploration with Vision and Signage Understanding","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Spatial Cognition and Navigation","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 Victoria","funders":"","keywords":"Signage; Computer science; Grid; Human–computer interaction; Field (mathematics); Artificial intelligence; Variety (cybernetics); Computer vision","score_opus":0.046733016020291625,"score_gpt":0.23348867204295046,"score_spread":0.18675565602265884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4328028330","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":[0.15307082,0.00003834326,0.8463759,0.00005133109,0.00007518775,0.00012998971,0.000018214214,0.0000704494,0.00016976624],"genre_scores_gemma":[0.99917936,0.000027785292,0.00059550826,0.00009270786,0.000009622974,0.000017377628,0.00006223195,0.000013311993,0.0000020746484],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955827,0.000017747254,0.00009983533,0.000093145994,0.00014745626,0.00008352435],"domain_scores_gemma":[0.9998383,0.000029643588,0.000029415538,0.000045741195,0.000029364479,0.000027564707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007001368,0.00007046297,0.00007621541,0.00012862051,0.00012310885,0.000016069147,0.000031371277,0.000017898323,0.0000060575176],"category_scores_gemma":[9.313616e-7,0.000070168324,0.00002023952,0.000189168,0.00002793249,0.00015473602,0.000042030126,0.000094466726,3.3387704e-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":[0.00020726594,0.00013285532,0.0010794072,0.00019413758,0.00016131793,0.000010880251,0.0045069945,0.8365813,0.0036887215,0.13715057,0.001134146,0.015152403],"study_design_scores_gemma":[0.00044776,0.00023034489,0.00008203422,0.000037048627,0.000014487327,0.000002170365,0.00056959176,0.9856997,0.0007663146,0.012036782,0.000020000967,0.000093764174],"about_ca_topic_score_codex":0.0000018433835,"about_ca_topic_score_gemma":0.000007685973,"teacher_disagreement_score":0.84610856,"about_ca_system_score_codex":0.00002786885,"about_ca_system_score_gemma":0.00000576235,"threshold_uncertainty_score":0.28613812},"labels":[],"label_agreement":null},{"id":"W4328028361","doi":"10.1111/cgf.14636","title":"Synthesizing Get‐Up Motions for Physics‐based Characters","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","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":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Embedding; Motion (physics); Character (mathematics); Computer science; Artificial intelligence; Character animation; Computer vision; Computer graphics (images); Motion capture; Computer animation; Animation; Geometry; Mathematics","score_opus":0.0213503096312489,"score_gpt":0.21625753652279284,"score_spread":0.19490722689154394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4328028361","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":[0.031068774,0.000024245786,0.96644783,0.0003696893,0.0012112168,0.00023814314,0.00004282751,0.00046250326,0.00013475415],"genre_scores_gemma":[0.997177,0.0000032171354,0.0017747433,0.00059531326,0.00016063667,0.0001094747,0.000112003574,0.000034984812,0.00003264646],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993845,0.00001921581,0.00013817949,0.00013227458,0.00011603589,0.00020975572],"domain_scores_gemma":[0.99971414,0.00003931437,0.000029141647,0.00014751403,0.000026735304,0.00004315843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000096979464,0.00010442615,0.00010133684,0.00012456356,0.00034793044,0.00004454543,0.0001371648,0.000023149836,0.000027505526],"category_scores_gemma":[0.0000023700447,0.00012708736,0.00013010562,0.00017367887,0.00001585018,0.00009859074,0.000034736433,0.00014027272,0.000008783431],"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":[0.000018208828,0.0002941151,0.0012182337,0.00042623613,0.00022286543,0.0000056382783,0.0013399827,0.31499198,0.0058070202,0.5510207,0.037018403,0.08763663],"study_design_scores_gemma":[0.00029516892,0.000046109915,0.0020241379,0.0000129259415,0.000010133802,0.0000014024101,0.000030220712,0.97539514,0.0003308977,0.0026017318,0.019088449,0.00016365401],"about_ca_topic_score_codex":6.6400503e-7,"about_ca_topic_score_gemma":0.0000015049242,"teacher_disagreement_score":0.9661082,"about_ca_system_score_codex":0.000039868646,"about_ca_system_score_gemma":0.000008637932,"threshold_uncertainty_score":0.51824725},"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":"W4328029477","doi":"10.1111/cgf.14668","title":"A Drone Video Clip Dataset and its Applications in Automated Cinematography","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Multimodal Machine Learning Applications","field":"Computer Science","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 Waterloo","funders":"Korea Creative Content Agency","keywords":"Drone; Computer science; Computer vision; Artificial intelligence; Cinematography; CLIPS; Video capture; Computer graphics (images); Video processing","score_opus":0.010880231189374133,"score_gpt":0.2707722317890653,"score_spread":0.25989200059969114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4328029477","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":[0.101970166,0.00085108506,0.88473064,0.0075357677,0.00027328145,0.0017834398,0.00063104794,0.0021121118,0.00011246032],"genre_scores_gemma":[0.97791076,0.000024110377,0.01928328,0.0013009543,0.000025749965,0.0007494414,0.000681556,0.00002011891,0.000004016097],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981223,0.000152185,0.00034900187,0.00068949483,0.00029788408,0.00038917782],"domain_scores_gemma":[0.9985537,0.0002209947,0.0001405504,0.00091047614,0.00004213438,0.00013216784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039054692,0.00019757189,0.00021856504,0.000685768,0.00059146626,0.00013052244,0.0013087097,0.000048023063,0.00000937511],"category_scores_gemma":[0.000009656349,0.00021799954,0.000059875263,0.0023319689,0.00004372008,0.00025697262,0.0017263254,0.00047841857,0.000012761699],"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":[0.000004267538,0.0003391365,0.043577924,0.000039226892,0.0000320568,0.000009699817,0.00035412953,0.002573307,0.00008947349,0.93711674,0.012101565,0.0037624508],"study_design_scores_gemma":[0.00041629077,0.00006751926,0.041270483,0.0000068016634,0.0000054670804,0.000035721274,0.000016854103,0.916761,0.000008602514,0.0068136854,0.034364704,0.00023289617],"about_ca_topic_score_codex":0.0002000026,"about_ca_topic_score_gemma":0.00004326744,"teacher_disagreement_score":0.9303031,"about_ca_system_score_codex":0.000024092966,"about_ca_system_score_gemma":0.00003737288,"threshold_uncertainty_score":0.8889763},"labels":[],"label_agreement":null},{"id":"W4328029556","doi":"10.1111/cgf.14661","title":"MODNet: Multi‐offset Point Cloud Denoising Network Customized for Multi‐scale Patches","year":2022,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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 Waterloo","funders":"National Key Research and Development Program of China; Natural Science Foundation of Jiangsu Province","keywords":"Computer science; Point cloud; Offset (computer science); Cloud computing; Scale (ratio); Artificial intelligence; Noise reduction; Computer graphics (images); Computer vision; Cartography; Geography","score_opus":0.02310367042294361,"score_gpt":0.23079114151009375,"score_spread":0.20768747108715013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4328029556","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":[0.04430512,0.0009666482,0.9521853,0.00019005871,0.001485959,0.00028367236,0.00007858049,0.0004949454,0.000009748365],"genre_scores_gemma":[0.91016835,0.00006700608,0.08818871,0.00056992273,0.0005060094,0.00014570993,0.00017918488,0.000103133716,0.000071961156],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983594,0.00006323687,0.0003945136,0.000357128,0.00020663947,0.00061910227],"domain_scores_gemma":[0.9992837,0.00010070313,0.000066036504,0.0003676002,0.00005899009,0.00012302358],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042656882,0.0002693531,0.00040010115,0.00019976916,0.00058977545,0.00007738397,0.00035222876,0.00008948877,0.000014250228],"category_scores_gemma":[0.000005251789,0.00029272898,0.00043145264,0.0004507255,0.00003300325,0.00008276049,0.00022434817,0.00032360497,0.000005443562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020181693,0.00006419785,0.0012958153,0.000037206883,0.00017590364,0.0000040285813,0.00036479172,0.9750088,0.000060308503,0.00028014526,0.018832967,0.003855662],"study_design_scores_gemma":[0.0014621933,0.00004183313,0.00006081185,0.000022868735,0.00007362173,0.0000052877854,0.00010746236,0.9901559,0.000058522943,0.0011198762,0.006531,0.00036065976],"about_ca_topic_score_codex":0.000026875601,"about_ca_topic_score_gemma":0.0000900275,"teacher_disagreement_score":0.86586326,"about_ca_system_score_codex":0.00006829689,"about_ca_system_score_gemma":0.000016797701,"threshold_uncertainty_score":0.9999525},"labels":[],"label_agreement":null},{"id":"W4377832148","doi":"10.1111/cgf.14740","title":"Online Avatar Motion Adaptation to Morphologically‐similar Spaces","year":2023,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","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":"Kootenay Association for Science & Technology","funders":"Samsung Advanced Institute of Technology","keywords":"Avatar; Retargeting; Computer science; Motion (physics); Human–computer interaction; Object (grammar); Space (punctuation); Computer vision; Adaptation (eye); Desk; Artificial intelligence; Computer graphics (images)","score_opus":0.03431915823794427,"score_gpt":0.24083857996757188,"score_spread":0.20651942172962762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377832148","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":[0.42768416,0.000015136501,0.5691482,0.0011956815,0.0005336787,0.00014531425,0.00002121637,0.0011635689,0.000093053735],"genre_scores_gemma":[0.99197763,0.00006393318,0.0066876626,0.0006921341,0.00017404907,0.000010401528,0.0003155218,0.000024977082,0.000053667594],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928397,0.000017910088,0.00016882655,0.00016274759,0.00014595836,0.0002205615],"domain_scores_gemma":[0.9996897,0.000020196661,0.000019185502,0.00014402466,0.000047053065,0.00007985694],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010909507,0.00011657669,0.00010404995,0.0003003095,0.000081202255,0.00005729756,0.00011812399,0.00007116594,0.00003278507],"category_scores_gemma":[0.000008629686,0.00011747894,0.000056002304,0.00055931835,0.0000146099965,0.00012348266,0.0000444945,0.000113524446,0.00033024422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011624274,0.0001635571,0.0013922366,0.00013975243,0.00007880344,0.000042861247,0.0019709673,0.7280867,0.0045579416,0.057464305,0.12866183,0.07742944],"study_design_scores_gemma":[0.0001510057,0.000068455985,0.032465473,0.000024242041,0.000004339261,0.0000023526636,0.00008512814,0.95030636,0.000112638685,0.0023057545,0.014318731,0.00015554205],"about_ca_topic_score_codex":0.0000027827293,"about_ca_topic_score_gemma":0.000025825784,"teacher_disagreement_score":0.5642935,"about_ca_system_score_codex":0.000017667173,"about_ca_system_score_gemma":0.00000293797,"threshold_uncertainty_score":0.4790652},"labels":[],"label_agreement":null},{"id":"W4378082886","doi":"10.1111/cgf.14760","title":"Face Editing Using Part‐Based Optimization of the Latent Space","year":2023,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Face recognition and analysis","field":"Computer Science","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":"Concordia University; Ubisoft (Canada); École de Technologie Supérieure","funders":"Mitacs; École de technologie supérieure","keywords":"Computer science; Artificial intelligence; Face (sociological concept); Merge (version control); Image editing; Encoder; Pattern recognition (psychology); Computer vision; Image (mathematics)","score_opus":0.03417442538877364,"score_gpt":0.24646952032547476,"score_spread":0.21229509493670112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378082886","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":[0.008551731,0.000017733824,0.98669326,0.0036421514,0.00079429516,0.00009850295,0.0000050062185,0.00016392965,0.000033382643],"genre_scores_gemma":[0.9240367,0.00003060855,0.07445964,0.0012115324,0.00015188147,0.000006355514,0.000020385158,0.000019675233,0.00006324435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890834,0.000077536715,0.00021965463,0.00024375343,0.00029576226,0.00025496745],"domain_scores_gemma":[0.9991849,0.000065447675,0.00016412635,0.00040272847,0.00013105608,0.000051720675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024257074,0.000108110355,0.00013922909,0.00023417728,0.00021674376,0.00009564338,0.00054230395,0.00005269495,0.000004956663],"category_scores_gemma":[0.000016054073,0.00008508768,0.00020160138,0.0021087166,0.000056065295,0.00018656041,0.00032352266,0.000106863816,0.000007996217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[6.649234e-7,0.000026330925,0.0040451153,0.000019555695,0.000028881312,0.0000022321992,0.00010239592,0.98028487,0.00005236457,0.011900075,0.0015839498,0.0019535401],"study_design_scores_gemma":[0.00015725092,0.000014017859,0.0004348935,0.00006889288,0.000012413661,0.0000015882996,0.000019860261,0.997133,0.0010028118,0.0005858559,0.00047382587,0.000095555515],"about_ca_topic_score_codex":0.000010468481,"about_ca_topic_score_gemma":0.000005510102,"teacher_disagreement_score":0.91548496,"about_ca_system_score_codex":0.000013100591,"about_ca_system_score_gemma":0.000040561645,"threshold_uncertainty_score":0.3469775},"labels":[],"label_agreement":null},{"id":"W4378085853","doi":"10.1111/cgf.14744","title":"Subpixel Deblurring of Anti‐Aliased Raster Clip‐Art","year":2023,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Image Processing Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Northern Digital (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Subpixel rendering; Computer science; Computer vision; Artificial intelligence; Pixel; Computer graphics (images); Raster graphics; Rendering (computer graphics); Inpainting; Deblurring; Image resolution; Image processing; Image restoration; Image (mathematics)","score_opus":0.019942284166347465,"score_gpt":0.2766780796836456,"score_spread":0.25673579551729814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378085853","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":[0.013225451,0.00008159811,0.98328424,0.00085284526,0.0005853974,0.0001690293,0.0000034764857,0.0016009301,0.0001970406],"genre_scores_gemma":[0.4585538,0.000067980116,0.53984094,0.0012221537,0.000091579306,0.000023993865,0.00001410383,0.000045526765,0.00013990846],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99800265,0.00005334485,0.00043194558,0.0005537198,0.00037906962,0.00057927024],"domain_scores_gemma":[0.9984163,0.00012874525,0.00020092167,0.00094550883,0.00020360721,0.00010490729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003871024,0.0002371524,0.00032272044,0.0006101225,0.00016094734,0.00014678958,0.0015304545,0.000101032434,0.0000024134588],"category_scores_gemma":[0.00002791064,0.0002342881,0.00015891748,0.001871136,0.0001530514,0.0008523728,0.0011371176,0.0002319712,0.0000607792],"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":[0.000039115694,0.00053473166,0.08162797,0.00080848474,0.0002303863,0.00024218018,0.0018636286,0.0005392421,0.04356966,0.5191587,0.17102697,0.18035889],"study_design_scores_gemma":[0.00045394147,0.00018488498,0.005010142,0.0002377127,0.000010225812,0.000033905726,0.000013269605,0.87903583,0.019909447,0.08058883,0.013966765,0.000555019],"about_ca_topic_score_codex":0.0000033171436,"about_ca_topic_score_gemma":0.0000022638174,"teacher_disagreement_score":0.8784966,"about_ca_system_score_codex":0.00001665785,"about_ca_system_score_gemma":0.0000500976,"threshold_uncertainty_score":0.95539916},"labels":[],"label_agreement":null},{"id":"W4381597011","doi":"10.1111/cgf.14888","title":"ModalNeRF: Neural Modal Analysis and Synthesis for Free‐Viewpoint Navigation in Dynamically Vibrating Scenes","year":2023,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Advanced Vision and Imaging","field":"Computer Science","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 Laval","funders":"H2020 European Research Council","keywords":"Computer science; Computer vision; Motion (physics); Computer graphics (images); Artificial intelligence; Motion field; Radiance; Representation (politics); Displacement (psychology); Motion estimation; Structure from motion; Motion analysis; Field (mathematics); Displacement field; Physics; Mathematics; Optics","score_opus":0.012573847754401206,"score_gpt":0.2685948778983716,"score_spread":0.25602103014397043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381597011","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":[0.06761828,0.000065102184,0.9269868,0.004658368,0.00020562268,0.00020671845,0.000009687967,0.00024145158,0.000007962556],"genre_scores_gemma":[0.7690981,0.000036184334,0.23002174,0.00070594164,0.000041314936,0.00005293638,0.000021625414,0.000016353848,0.0000058023356],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99832636,0.00006852146,0.00037144386,0.00057053776,0.00022511548,0.00043799295],"domain_scores_gemma":[0.99877816,0.00040284565,0.000112561116,0.000511682,0.00009394072,0.0001008269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003863371,0.0001866332,0.00030900264,0.0008229915,0.00022745598,0.00023936044,0.0006474541,0.00006338592,5.973596e-7],"category_scores_gemma":[0.000077252174,0.00017948869,0.00017573767,0.0026109642,0.000062551866,0.0006962323,0.0006441642,0.00015661276,0.0000017811624],"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":[0.000022439623,0.00011888348,0.035001606,0.00015462503,0.00019351243,0.000038104896,0.00068291795,0.02498962,0.0009261605,0.22291332,0.00034186314,0.71461695],"study_design_scores_gemma":[0.00029382732,0.000038781032,0.018015834,0.000055373668,0.000020836762,0.00000421207,0.00001959556,0.9341116,0.00020349804,0.04699813,0.000041029092,0.0001972992],"about_ca_topic_score_codex":0.000025715965,"about_ca_topic_score_gemma":0.00005502646,"teacher_disagreement_score":0.909122,"about_ca_system_score_codex":0.000023173763,"about_ca_system_score_gemma":0.00001868618,"threshold_uncertainty_score":0.73193365},"labels":[],"label_agreement":null},{"id":"W4385551668","doi":"10.1111/cgf.14921","title":"Harmonized Portrait‐Background Image Composition","year":2023,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","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":"IONICS Mass Spectrometry (Canada)","funders":"Natural Science Foundation of Zhejiang Province","keywords":"Portrait; Computer science; Pipeline (software); Artificial intelligence; Composition (language); Computer vision; Image (mathematics); Style (visual arts); Computer graphics (images); Art; Visual arts","score_opus":0.02275068566771715,"score_gpt":0.24963695967268912,"score_spread":0.22688627400497197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385551668","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":[0.006960259,0.00006761048,0.9859298,0.0038792433,0.0015485635,0.00021235058,0.000008155284,0.0007593444,0.0006346582],"genre_scores_gemma":[0.8563027,0.00010761628,0.14022991,0.0025124722,0.000521421,0.000030611027,0.00008607989,0.0000382102,0.0001709697],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99800646,0.00012495235,0.0003237979,0.0005872061,0.0003410169,0.0006165411],"domain_scores_gemma":[0.998768,0.0001344287,0.000115351904,0.0006568948,0.0001662716,0.00015905841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003752166,0.00025162543,0.00027094173,0.00033266572,0.00041393237,0.00051945256,0.0009210211,0.00009441496,0.000014042761],"category_scores_gemma":[0.0000050492317,0.0002432469,0.00022540688,0.001488425,0.000114944356,0.0008683733,0.0005809773,0.0002044757,0.0002876763],"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":[0.000034841665,0.00028459224,0.000982964,0.000053074196,0.0002985986,0.0004227975,0.0006959154,0.0025034097,0.014793655,0.62902486,0.26886418,0.082041115],"study_design_scores_gemma":[0.00062634837,0.00011300262,0.0067515154,0.00002952812,0.000013660451,0.000028599234,0.000021507645,0.9571427,0.0023478235,0.015428071,0.0170661,0.00043114158],"about_ca_topic_score_codex":0.00001899402,"about_ca_topic_score_gemma":0.0000069011076,"teacher_disagreement_score":0.9546393,"about_ca_system_score_codex":0.000023132796,"about_ca_system_score_gemma":0.00004304772,"threshold_uncertainty_score":0.9919321},"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":"W4386607324","doi":"10.1111/cgf.14927","title":"Advances in Data‐Driven Analysis and Synthesis of 3D Indoor Scenes","year":2023,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Simon Fraser University","funders":"Young Scientists Fund; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Focus (optics); Representation (politics); Artificial intelligence; Task (project management); Segmentation; Object (grammar); Metric (unit); Similarity (geometry); Deep learning; Human–computer interaction; Computer vision; Image (mathematics)","score_opus":0.015883018937349107,"score_gpt":0.24214065197305018,"score_spread":0.22625763303570107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386607324","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":[0.5809295,0.0026036582,0.41536993,0.00019905687,0.00018590313,0.000088011846,0.00012354918,0.0003830333,0.00011733279],"genre_scores_gemma":[0.9935514,0.0037646207,0.0025721423,0.000014605809,0.000022913513,0.000004643643,0.000053736338,0.000013267931,0.000002705305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992232,0.000019142171,0.00022702324,0.00021769603,0.00011800113,0.00019495083],"domain_scores_gemma":[0.99941486,0.00012567293,0.00003006763,0.0003687035,0.000022952747,0.000037742695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016830413,0.00010738133,0.00030791335,0.0009788469,0.000032316857,0.000020828686,0.00026225045,0.00005112606,0.0000021488863],"category_scores_gemma":[0.000011869211,0.0001045129,0.00007183607,0.002148546,0.000039508366,0.00016831458,0.00015650925,0.00008240804,0.0000027189087],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000004022957,0.000032975116,0.2762289,0.00020456525,0.0007321131,0.000012418686,0.00015924052,0.59630686,0.000033394477,0.0004089323,0.0002995875,0.12557699],"study_design_scores_gemma":[0.000079733756,0.0000051787756,0.008114961,0.000042498687,0.00016735551,3.4570027e-7,0.000025423195,0.9908966,0.00006819163,0.00030601997,0.00018330164,0.00011041918],"about_ca_topic_score_codex":0.000024899826,"about_ca_topic_score_gemma":0.00046531,"teacher_disagreement_score":0.4127978,"about_ca_system_score_codex":0.0000045418647,"about_ca_system_score_gemma":0.000004410321,"threshold_uncertainty_score":0.42619127},"labels":[],"label_agreement":null},{"id":"W4387031627","doi":"10.1111/cgf.14963","title":"OptCtrlPoints: Finding the Optimal Control Points for Biharmonic 3D Shape Deformation","year":2023,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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 Toronto; Kootenay Association for Science & Technology","funders":"Institute for Information and Communications Technology Promotion; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Research Foundation of Korea; Ministry of Science and ICT, South Korea; Ministry of Trade, Industry and Energy; Association of Research Libraries","keywords":"Biharmonic equation; Computation; Computer science; Set (abstract data type); Control point; Reduction (mathematics); Usability; Point (geometry); Matrix (chemical analysis); Control (management); Algorithm; Mathematical optimization; Artificial neural network; Artificial intelligence; Mathematics; Geometry","score_opus":0.01768079286010588,"score_gpt":0.23017481117191055,"score_spread":0.21249401831180467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387031627","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":[0.101299286,0.0001352996,0.8958604,0.0012330408,0.0005247777,0.00023962818,0.000035485726,0.00063464727,0.000037457907],"genre_scores_gemma":[0.99641436,0.00008952885,0.002686946,0.00043036902,0.00017314997,0.0000657202,0.00008098233,0.000040376915,0.000018541296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890083,0.00002054392,0.00028437038,0.00017546034,0.00016462253,0.00045418798],"domain_scores_gemma":[0.99942493,0.00015928439,0.00004360174,0.0002485903,0.00006496486,0.000058600905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004146488,0.00017423125,0.00019429793,0.00029313762,0.0002858952,0.00011550372,0.00029053664,0.00008392807,0.000008623836],"category_scores_gemma":[0.000013450305,0.00013659423,0.00023664278,0.00059015304,0.000028787965,0.00016905952,0.000053336906,0.00018155172,0.00007615434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014857384,0.000016583957,0.00053381704,0.0001006818,0.00039938604,0.000004286897,0.00042096744,0.95191723,0.00007226165,0.0060527218,0.01510057,0.025366604],"study_design_scores_gemma":[0.00048050692,0.000031523112,0.0002120253,0.000031782314,0.000052933126,0.0000041757944,0.000045988196,0.99594426,0.000051966927,0.0013499343,0.0016223047,0.00017257853],"about_ca_topic_score_codex":0.0000018282672,"about_ca_topic_score_gemma":0.0000041979274,"teacher_disagreement_score":0.8951151,"about_ca_system_score_codex":0.000026861562,"about_ca_system_score_gemma":0.000009942608,"threshold_uncertainty_score":0.5570151},"labels":[],"label_agreement":null},{"id":"W4388043359","doi":"10.1111/cgf.14964","title":"Integrating High‐Level Features for Consistent Palette‐based Multi‐image Recoloring","year":2023,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Image Enhancement Techniques","field":"Computer Science","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":"York University","funders":"Natural Science Basic Research Program of Shaanxi Province; European Regional Development Fund; Canada Research Chairs; Agencia Estatal de Investigación; Canada First Research Excellence Fund; National Natural Science Foundation of China","keywords":"Palette (painting); Computer science; Consistency (knowledge bases); Workflow; Artificial intelligence; Computer vision; Image (mathematics); Image editing; Computer graphics (images); Information retrieval; Database","score_opus":0.05160179138991332,"score_gpt":0.29442523560496264,"score_spread":0.2428234442150493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388043359","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":[0.0020970588,0.000032643577,0.98832923,0.0048433193,0.0015528491,0.00082724146,0.000027711263,0.0022215622,0.00006838537],"genre_scores_gemma":[0.10962258,0.000014753812,0.8863388,0.0032404505,0.000155593,0.00034185295,0.00006634238,0.000044131168,0.00017549352],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99756044,0.00008076848,0.00043284296,0.0007632383,0.00034762314,0.0008150726],"domain_scores_gemma":[0.99807507,0.0004637592,0.00019304545,0.0008573521,0.00029835422,0.00011243159],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00068653806,0.00033955523,0.0003314328,0.0005897197,0.0004343175,0.00045867256,0.0013527236,0.00013936454,0.0000021485494],"category_scores_gemma":[0.000094793104,0.0003263876,0.0002672719,0.001082276,0.00011447564,0.0005376391,0.00066354347,0.00033431183,0.000022095293],"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":[0.000040384264,0.00035392022,0.0028004423,0.00039739136,0.00020794477,0.00017914148,0.0007042082,0.00020888301,0.014514185,0.5356667,0.30670953,0.13821727],"study_design_scores_gemma":[0.0013959827,0.00043476874,0.007186014,0.00025743534,0.00001948297,0.000011395841,0.00003542076,0.9133321,0.053673543,0.011622847,0.011219251,0.0008117742],"about_ca_topic_score_codex":0.000024152694,"about_ca_topic_score_gemma":0.00007636528,"teacher_disagreement_score":0.9131232,"about_ca_system_score_codex":0.000062858,"about_ca_system_score_gemma":0.00007287743,"threshold_uncertainty_score":0.9999188},"labels":[],"label_agreement":null},{"id":"W4388417083","doi":"10.1111/cgf.14935","title":"Data‐guided Authoring of Procedural Models of Shapes","year":2023,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Carleton University","funders":"Core Research for Evolutional Science and Technology; Natural Sciences and Engineering Research Council of Canada; Japan Society for the Promotion of Science; Japan Science and Technology Corporation","keywords":"Procedural modeling; Computer science; Programmer; Replicate; Process (computing); Focus (optics); Programming language; Artificial intelligence; Human–computer interaction; Engineering drawing","score_opus":0.07035059243678098,"score_gpt":0.2732599588799629,"score_spread":0.20290936644318192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388417083","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":[0.2097612,0.0002819421,0.7886353,0.00015799847,0.00023608832,0.00008166746,0.00009950936,0.0005230382,0.0002232143],"genre_scores_gemma":[0.9964554,0.00012844645,0.0032206874,0.00002501152,0.000049917253,0.0000028292382,0.00007682541,0.000025700787,0.000015188547],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99905014,0.000008838335,0.00033794995,0.00018547387,0.000183664,0.0002339041],"domain_scores_gemma":[0.99943495,0.000034037912,0.000046710204,0.00036813458,0.00007147369,0.000044722543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001966765,0.00011798583,0.00025144,0.00036239004,0.00003504025,0.000013040844,0.00044976134,0.000060150334,0.0000021017236],"category_scores_gemma":[0.0000062090417,0.000116763025,0.00010284608,0.0008100717,0.00003214523,0.00017004878,0.00022071284,0.00010341016,0.0000036772342],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000001536549,0.000012787589,0.0005308702,0.00025759995,0.00015517228,0.000002082565,0.00018588928,0.9820086,0.0003565709,0.0055189864,0.008153974,0.00281594],"study_design_scores_gemma":[0.00010142518,0.000012887741,0.00015872739,0.000079453595,0.000031220723,0.000001290337,0.000026938756,0.99274397,0.0003806327,0.0062343613,0.00011592722,0.00011317883],"about_ca_topic_score_codex":0.000010842637,"about_ca_topic_score_gemma":0.000010849001,"teacher_disagreement_score":0.78669417,"about_ca_system_score_codex":0.0000047225917,"about_ca_system_score_gemma":0.000012691181,"threshold_uncertainty_score":0.4761458},"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":"W4394929009","doi":"10.1111/cgf.15005","title":"Neural Semantic Surface Maps","year":2024,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Université de Montréal","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science; Artificial intelligence; Inference; Viewpoints; Matching (statistics); Computer vision; Visualization; Pattern recognition (psychology); Semantic feature; Feature (linguistics); Mathematics","score_opus":0.00971802528215035,"score_gpt":0.20740725255532735,"score_spread":0.197689227273177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394929009","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":[0.21111318,0.004355653,0.7798741,0.00067836506,0.001902168,0.000054218606,0.000012901822,0.0016333694,0.0003760343],"genre_scores_gemma":[0.9985265,0.00011837791,0.00091531227,0.00013786017,0.00014545834,0.0000013101788,0.000018912198,0.000036846122,0.000099388395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927884,0.000009821115,0.0001463488,0.00018197678,0.000117065494,0.0002659236],"domain_scores_gemma":[0.99968976,0.000031550386,0.000005432661,0.00019382517,0.000018173067,0.00006123145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007483308,0.00013746851,0.00013601994,0.00013886139,0.000053417763,0.00014251797,0.00014602789,0.00005847707,0.000009152436],"category_scores_gemma":[8.283585e-7,0.00012921565,0.00016441065,0.0004097549,0.000019777168,0.00008924533,0.000043163676,0.00020875807,0.000087085784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[8.7129195e-7,0.000011389398,0.0010433141,0.00023044623,0.00023397485,0.00007906552,0.00017433608,0.9348704,0.00012871336,0.00971969,0.0411733,0.01233448],"study_design_scores_gemma":[0.000040618866,0.000011254343,0.00005115236,0.000049594433,0.000029356588,0.000010745412,0.0000057393786,0.99225205,0.000056171524,0.0024269708,0.0049109557,0.00015540927],"about_ca_topic_score_codex":0.000007868559,"about_ca_topic_score_gemma":0.000010022244,"teacher_disagreement_score":0.78741336,"about_ca_system_score_codex":0.000010630928,"about_ca_system_score_gemma":0.000005341983,"threshold_uncertainty_score":0.52692616},"labels":[],"label_agreement":null},{"id":"W4395043439","doi":"10.1111/cgf.15013","title":"Real‐Time Neural Materials using Block‐Compressed Features","year":2024,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Ubisoft (Canada)","funders":"","keywords":"Computer science; Memory footprint; Rendering (computer graphics); Texture memory; Decoding methods; Block (permutation group theory); Artificial neural network; Data compression; Computer graphics (images); Artificial intelligence; Computer hardware; Software rendering; Graphics; Algorithm; 3D computer graphics","score_opus":0.018652621669837468,"score_gpt":0.28938080596948346,"score_spread":0.270728184299646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395043439","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":[0.041920703,0.00056254875,0.9497366,0.0007313476,0.0030975416,0.00040719818,0.000024595884,0.00337099,0.00014849364],"genre_scores_gemma":[0.9349272,0.00027207192,0.06238049,0.0013061537,0.0008052031,0.000031265092,0.00005161202,0.00010445433,0.00012155173],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971893,0.00016666915,0.00054888194,0.00094992097,0.00048345374,0.0006617616],"domain_scores_gemma":[0.99835527,0.00014965641,0.00012129067,0.0010078272,0.00018049391,0.00018547551],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00041353717,0.00043468992,0.0004190807,0.0009017583,0.00033114952,0.0020903763,0.0016469099,0.00020910613,0.000014875701],"category_scores_gemma":[0.000004827048,0.00040743014,0.00027173306,0.0015902891,0.00011075155,0.0008529059,0.0011781581,0.0002866568,0.000021659022],"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":[0.0000042969173,0.00005933059,0.000075642536,0.000085149535,0.00008162232,0.00009570426,0.00023137356,0.00008640153,0.0072934455,0.9731847,0.01499226,0.003810061],"study_design_scores_gemma":[0.00016113387,0.00015210552,0.00045751524,0.00018139939,0.000020761508,0.00018168539,0.000001949879,0.9509555,0.010664447,0.030631531,0.006059835,0.0005321449],"about_ca_topic_score_codex":0.00009302968,"about_ca_topic_score_gemma":0.0000037854677,"teacher_disagreement_score":0.9508691,"about_ca_system_score_codex":0.000037354246,"about_ca_system_score_gemma":0.00008769831,"threshold_uncertainty_score":0.99983776},"labels":[],"label_agreement":null},{"id":"W4395082274","doi":"10.1111/cgf.15022","title":"The Impulse Particle‐In‐Cell Method","year":2024,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Advection; Animation; Impulse (physics); Computer science; Visualization; Affine transformation; Applied mathematics; Mechanics; Computer graphics (images); Classical mechanics; Mathematics; Physics; Artificial intelligence; Geometry","score_opus":0.015150240298913376,"score_gpt":0.30657415495559215,"score_spread":0.2914239146566788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395082274","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":[0.0009964964,0.002385602,0.99096197,0.0027752111,0.0014874003,0.00025008622,0.0000017327956,0.0009076347,0.00023385909],"genre_scores_gemma":[0.9072136,0.0011060189,0.08865514,0.002424186,0.0002621367,0.00009501759,0.00000553223,0.000053325773,0.00018503674],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977415,0.00018988033,0.00046488765,0.00065710547,0.00034675398,0.0005998792],"domain_scores_gemma":[0.99826986,0.0005340544,0.000059826358,0.00091641356,0.00009506886,0.00012478563],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0011540413,0.00024133768,0.00019386302,0.0003464717,0.0003136501,0.0014090996,0.0015974882,0.0001010345,0.000002162404],"category_scores_gemma":[0.0000073450315,0.0001787037,0.00021915694,0.0022135323,0.000081384,0.0005017568,0.00081317767,0.00036486587,0.000021554746],"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":[0.0000013661089,0.000038810245,0.00052675174,0.000020075837,0.000012978529,0.00003302513,0.00025237,0.000017405038,0.000021904078,0.92253613,0.006154872,0.07038431],"study_design_scores_gemma":[0.00010833973,0.0000919105,0.0004896516,0.00004305252,0.0000034952095,0.000020196205,0.0000065716076,0.7722295,0.001067226,0.1553168,0.07042331,0.00019997745],"about_ca_topic_score_codex":0.000026837492,"about_ca_topic_score_gemma":0.000039718543,"teacher_disagreement_score":0.9062171,"about_ca_system_score_codex":0.000029002607,"about_ca_system_score_gemma":0.00008054134,"threshold_uncertainty_score":0.99962753},"labels":[],"label_agreement":null},{"id":"W4396512602","doi":"10.1111/cgf.15063","title":"State of the Art on Diffusion Models for Visual Computing","year":2024,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","cited_by":88,"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":"Samsung; Deutsche Forschungsgemeinschaft; Stanford Institute for Human-Centered Artificial Intelligence, Stanford University","keywords":"Computer science; Computer graphics; Field (mathematics); Generative grammar; Personalization; Artificial intelligence; Graphics; Data science; Generative model; Human–computer interaction; Computer graphics (images); World Wide Web","score_opus":0.015263880359530402,"score_gpt":0.2468639245447087,"score_spread":0.2316000441851783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396512602","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":[0.0052088574,0.00015076263,0.9902776,0.0015472502,0.0022439014,0.00031432798,0.000008779053,0.00010733233,0.0001411882],"genre_scores_gemma":[0.9725551,0.000020244013,0.02621802,0.0008806065,0.00019263856,0.0000070331507,0.0000033060815,0.000018032553,0.000105046754],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865794,0.00007530039,0.00027215623,0.00041319264,0.00026019875,0.00032122896],"domain_scores_gemma":[0.9990394,0.00031926768,0.00007910294,0.00040673665,0.00010270727,0.000052779516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029369618,0.00017399939,0.0001917553,0.00013695707,0.00023331895,0.00021653225,0.0007067694,0.000044663757,7.6893e-7],"category_scores_gemma":[0.0000074662967,0.00011747967,0.0002758495,0.00051664934,0.00007565529,0.00027138225,0.0005061012,0.00015786242,0.000004754279],"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":[0.000017830358,0.00014354671,0.00008874695,0.00008748891,0.00011125367,0.0000045439388,0.00067302573,0.16989636,0.0005351642,0.5251051,0.024453389,0.27888352],"study_design_scores_gemma":[0.0001435654,0.00017173376,0.00018238975,0.00014739642,0.0000075572607,0.0000023245257,0.0000028075833,0.94519866,0.0015751662,0.046779424,0.005656776,0.000132181],"about_ca_topic_score_codex":0.0000042249044,"about_ca_topic_score_gemma":0.0000062623653,"teacher_disagreement_score":0.9673462,"about_ca_system_score_codex":0.000015967236,"about_ca_system_score_gemma":0.0000445813,"threshold_uncertainty_score":0.4790682},"labels":[],"label_agreement":null},{"id":"W4396512647","doi":"10.1111/cgf.15061","title":"Text‐to‐3D Shape Generation","year":2024,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Canadian Institute for Advanced Research; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Computer science; Generative grammar; Rendering (computer graphics); Text generation; Representation (politics); Artificial intelligence; Generative model; Categorization; Data science; Human–computer interaction","score_opus":0.015398074070713247,"score_gpt":0.22213196584262676,"score_spread":0.2067338917719135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396512647","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":[0.047359362,0.0011114458,0.94882584,0.0004244194,0.0011052439,0.000050642655,0.000006516442,0.00076422206,0.00035231982],"genre_scores_gemma":[0.9937425,0.00009270991,0.005061414,0.0004374598,0.00053315336,0.000008602866,0.000029310893,0.000034613073,0.000060235652],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993221,0.000007943576,0.00014631085,0.00019560564,0.000116916824,0.000211084],"domain_scores_gemma":[0.9997057,0.000016048534,0.0000044867197,0.00017200716,0.000026325511,0.000075439144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000084612846,0.00012106584,0.00010804579,0.0002881891,0.00006169446,0.00016722301,0.000117231524,0.000066893146,0.000025124042],"category_scores_gemma":[0.0000016196849,0.0001171999,0.00010591243,0.0004825517,0.000008848845,0.00008413459,0.000035726192,0.00015180622,0.00017807163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.311215e-7,0.000016152419,0.00026466462,0.00010128517,0.00024225845,0.000027810382,0.000346912,0.6171778,0.0010004913,0.019154062,0.08443805,0.2772296],"study_design_scores_gemma":[0.000027859265,0.000016251508,0.000037341288,0.00003247851,0.000019802934,0.0000033228066,0.000002461302,0.9796101,0.00013759005,0.00043462787,0.0195326,0.00014557895],"about_ca_topic_score_codex":0.0000036769843,"about_ca_topic_score_gemma":0.000018026802,"teacher_disagreement_score":0.9463831,"about_ca_system_score_codex":0.000016221225,"about_ca_system_score_gemma":0.000009215563,"threshold_uncertainty_score":0.47792733},"labels":[],"label_agreement":null},{"id":"W4396512750","doi":"10.1111/cgf.15030","title":"Computational Smocking through Fabric‐Thread Interaction","year":2024,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"","keywords":"Image stitching; Thread (computing); Computer science; Computer graphics (images); Engineering drawing; Artificial intelligence; Engineering; Programming language","score_opus":0.017711407701317298,"score_gpt":0.2522318009503414,"score_spread":0.23452039324902413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396512750","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":[0.017532738,0.0011594376,0.9777506,0.00030485837,0.0015592689,0.00004036763,0.0000070953456,0.00091977237,0.0007258561],"genre_scores_gemma":[0.9918413,0.00010210782,0.007432051,0.0002282292,0.00026826205,0.0000053223075,0.000062547886,0.00003569599,0.000024468423],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918675,0.000011752251,0.00020950752,0.00021219072,0.00016022295,0.00021957383],"domain_scores_gemma":[0.99969155,0.000088041736,0.000013053507,0.00012818443,0.000040814066,0.000038374455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006985072,0.00014867797,0.00013817858,0.00020881875,0.00008862958,0.00019291007,0.00011553552,0.00006579077,0.000017189674],"category_scores_gemma":[0.0000019128597,0.00014886349,0.00016998455,0.0004372537,0.000021064208,0.00026626597,0.00004084392,0.00025362306,0.00007609171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000010731875,0.000011611448,0.00022499249,0.00007869066,0.00019812198,0.000016855025,0.0003422322,0.93103665,0.0000098288865,0.033537094,0.009342203,0.025200622],"study_design_scores_gemma":[0.000056466866,0.000013283434,0.00004407485,0.00011403505,0.000028111735,0.000017907432,0.000023608003,0.95816517,0.000036152098,0.03159243,0.009746657,0.00016210043],"about_ca_topic_score_codex":0.0000134657985,"about_ca_topic_score_gemma":0.000007183179,"teacher_disagreement_score":0.97430855,"about_ca_system_score_codex":0.000034927405,"about_ca_system_score_gemma":0.000009736604,"threshold_uncertainty_score":0.60704774},"labels":[],"label_agreement":null},{"id":"W4400612314","doi":"10.1111/cgf.15147","title":"A Diffusion Approach to Radiance Field Relighting using Multi‐Illumination Synthesis","year":2024,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; European Resuscitation Council","keywords":"Radiance; Computer science; Computer graphics (images); Computer vision; Field (mathematics); Diffusion; Artificial intelligence; Global illumination; Remote sensing; Rendering (computer graphics); Geology; Mathematics; Physics","score_opus":0.028881967495830232,"score_gpt":0.29179019996846156,"score_spread":0.26290823247263134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400612314","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":[0.0047045983,0.0003825957,0.99099636,0.0010726198,0.0011007346,0.0003774265,0.0000032135752,0.0012031599,0.00015931675],"genre_scores_gemma":[0.60815436,0.00008911532,0.38918284,0.0022359344,0.00020985959,0.000057759284,0.0000053985345,0.00003903491,0.000025702691],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99773335,0.00009441973,0.0004250602,0.0008927772,0.00038392132,0.00047045495],"domain_scores_gemma":[0.9985915,0.00027075293,0.00008245988,0.0007108173,0.00015697618,0.00018751816],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004658875,0.0002911517,0.00026069244,0.0010811234,0.0003423696,0.0008861755,0.0010986737,0.00016337191,0.0000016657837],"category_scores_gemma":[0.000039277984,0.00028407353,0.00021215533,0.0022933825,0.000036355334,0.0006254077,0.0007892808,0.00025966016,0.00000914241],"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":[0.0000021811913,0.0001173392,0.00054250995,0.00010329528,0.000029633107,0.0000146464245,0.0007922801,0.000090111025,0.00018929601,0.9377433,0.0039129667,0.05646245],"study_design_scores_gemma":[0.00007901867,0.00008314676,0.00035410398,0.0003143425,0.000010241496,0.000035369158,0.000007664488,0.98114264,0.0020012192,0.004751338,0.010850286,0.00037061438],"about_ca_topic_score_codex":0.00005722985,"about_ca_topic_score_gemma":0.000006258151,"teacher_disagreement_score":0.9810525,"about_ca_system_score_codex":0.000055394157,"about_ca_system_score_gemma":0.000060148042,"threshold_uncertainty_score":0.99996114},"labels":[],"label_agreement":null},{"id":"W4400957421","doi":"10.1111/cgf.15157","title":"Neural Histogram‐Based Glint Rendering of Surfaces With Spatially Varying Roughness","year":2024,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"École de Technologie Supérieure","funders":"","keywords":"Rendering (computer graphics); Histogram; Computer science; Global illumination; Computation; Pixel; Surface finish; Computer vision; Artificial intelligence; Monte Carlo method; Algorithm; Computer graphics (images); Mathematics; Image (mathematics)","score_opus":0.020719999990811803,"score_gpt":0.26710846543902306,"score_spread":0.24638846544821125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400957421","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":[0.0117584765,0.0006961343,0.98449117,0.0005679449,0.00096610317,0.0002445492,0.000006724611,0.0012009246,0.000067994755],"genre_scores_gemma":[0.91253895,0.00003605338,0.08690366,0.00037430137,0.00007128454,0.00001732023,0.000016581009,0.00003594927,0.000005906179],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977516,0.00008276103,0.0005013306,0.0007109445,0.0005189231,0.00043444548],"domain_scores_gemma":[0.9985126,0.00017062442,0.00015922423,0.0007922607,0.0002447043,0.00012055784],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034184768,0.00032360264,0.00034958514,0.0007319081,0.0001740986,0.0005460238,0.001208648,0.00010680101,0.0000032277871],"category_scores_gemma":[0.0000040832456,0.00028060368,0.00020833754,0.0018730906,0.00014334751,0.0006240255,0.00049375603,0.00028100918,0.0000017360709],"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":[0.000014577685,0.00012196031,0.002541668,0.00031486974,0.00009133541,0.00008186945,0.00052376074,0.00494482,0.00010843168,0.95432156,0.00072174426,0.036213387],"study_design_scores_gemma":[0.00022463164,0.00033408683,0.00034495647,0.0003101336,0.00001562624,0.000025754887,0.0000027313397,0.984678,0.0021587682,0.008192543,0.0033521685,0.0003606127],"about_ca_topic_score_codex":0.0000896584,"about_ca_topic_score_gemma":0.000042431348,"teacher_disagreement_score":0.97973317,"about_ca_system_score_codex":0.000029984776,"about_ca_system_score_gemma":0.00014193414,"threshold_uncertainty_score":0.9999646},"labels":[],"label_agreement":null},{"id":"W4400958534","doi":"10.1111/cgf.15153","title":"Lossless Basis Expansion for Gradient‐Domain Rendering","year":2024,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Rendering (computer graphics); Pixel; Basis (linear algebra); Lossless compression; Algorithm; Mathematics; Computer science; Basis function; Computer vision; Geometry; Mathematical analysis; Data compression","score_opus":0.02373354552653736,"score_gpt":0.28730066438934865,"score_spread":0.2635671188628113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400958534","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":[0.0025726683,0.00090014096,0.9900198,0.0013375523,0.0026463773,0.00047526017,0.000014533212,0.0019391519,0.000094495925],"genre_scores_gemma":[0.7333989,0.0003468401,0.2630636,0.0021258118,0.0005912597,0.00023733097,0.000054733046,0.00010127625,0.00008025069],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975323,0.00006436427,0.0004733032,0.0009482103,0.00037078842,0.00061102066],"domain_scores_gemma":[0.9984942,0.00021376551,0.00008142462,0.0008539324,0.00018298191,0.0001737143],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005432278,0.0003349414,0.00029594658,0.0009224826,0.00036033455,0.0010179405,0.0012681511,0.00015553179,0.0000029145453],"category_scores_gemma":[0.000006359409,0.00032548566,0.00039480248,0.0016079051,0.00007922377,0.00072277396,0.0006980579,0.000228178,0.000007120914],"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":[0.0000029277571,0.000047608763,0.00014010657,0.00011617238,0.00004552027,0.000018129482,0.0004188465,0.0000094076295,0.000047547932,0.93660307,0.014376939,0.048173696],"study_design_scores_gemma":[0.00019023918,0.00020526475,0.00012794841,0.00017993661,0.000008408155,0.0000315365,0.000010525277,0.65200955,0.0009727665,0.2605285,0.08537162,0.0003636939],"about_ca_topic_score_codex":0.00000944387,"about_ca_topic_score_gemma":0.00000862343,"teacher_disagreement_score":0.7308262,"about_ca_system_score_codex":0.000043852106,"about_ca_system_score_gemma":0.00007638419,"threshold_uncertainty_score":0.9999197},"labels":[],"label_agreement":null},{"id":"W4401173869","doi":"10.1111/cgf.15133","title":"Optimized Dual‐Volumes for Tetrahedral Meshes","year":2024,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","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":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Polygon mesh; Computer science; Tetrahedron; Dual (grammatical number); Computer graphics (images); Volume mesh; Computational science; Geometry; Mesh generation; Mathematics; Finite element method; Physics","score_opus":0.01661633442274298,"score_gpt":0.26015312911052363,"score_spread":0.24353679468778064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401173869","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":[0.0014115407,0.0015580612,0.9881207,0.0040917234,0.0036676794,0.0003416967,0.000013706936,0.00061060366,0.00018432847],"genre_scores_gemma":[0.32998013,0.000098033095,0.66609204,0.0018815328,0.0010122978,0.00011719264,0.00009675443,0.00003671771,0.0006853203],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983945,0.000042792322,0.00030180658,0.00058287085,0.00028291356,0.00039514457],"domain_scores_gemma":[0.99896896,0.0003629023,0.00004314107,0.0003572517,0.00015389435,0.00011387309],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035027214,0.00020738102,0.00020250601,0.0004404898,0.00025072586,0.0007384287,0.0005019013,0.000091622045,0.000007028185],"category_scores_gemma":[0.00001609618,0.00019525204,0.00027601767,0.00094459316,0.000049012422,0.0007168848,0.00022556185,0.00014617092,0.000028794011],"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":[0.0000073561346,0.00004128425,0.00002668812,0.000059080136,0.00007694462,0.000014647899,0.00017417486,0.0064468705,0.00005610297,0.8519673,0.042540602,0.098588996],"study_design_scores_gemma":[0.000305295,0.00014377861,0.000118680946,0.000034856905,0.000012050372,0.00004094346,0.0000041401554,0.83719987,0.0003677121,0.05478017,0.10677119,0.00022130983],"about_ca_topic_score_codex":0.0000034584239,"about_ca_topic_score_gemma":0.0000033078782,"teacher_disagreement_score":0.83075297,"about_ca_system_score_codex":0.000025618228,"about_ca_system_score_gemma":0.00012258108,"threshold_uncertainty_score":0.79621476},"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":"W4403108835","doi":"10.1111/cgf.15262","title":"Dynamic Voxel‐Based Global Illumination","year":2024,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Natural Sciences and Engineering Research Council of Canada; European Regional Development Fund; Ministerio de Ciencia, Innovación y Universidades","keywords":"Computer science; Voxel; Computer graphics (images); Global illumination; Computer vision; Artificial intelligence; Rendering (computer graphics)","score_opus":0.011171732415849232,"score_gpt":0.2884582807322149,"score_spread":0.2772865483163657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403108835","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":[0.001120553,0.00072754413,0.9905444,0.0021684917,0.002205338,0.00025051436,0.000014731021,0.0026987854,0.00026968186],"genre_scores_gemma":[0.9239466,0.00007491699,0.07345845,0.0022852763,0.00009164512,0.00003397558,0.00004931554,0.000027951332,0.000031867334],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99782205,0.0000780424,0.0003871443,0.0007857129,0.00046695324,0.00046011715],"domain_scores_gemma":[0.99871576,0.000093468836,0.00007302404,0.00077226205,0.00019783255,0.00014767752],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00034653954,0.00029563878,0.00021520478,0.0005897785,0.00021142035,0.0010521094,0.0012581339,0.00015534353,0.0000061289506],"category_scores_gemma":[0.0000059956606,0.00029237047,0.00027412284,0.002582305,0.00010132554,0.0006992981,0.00048426638,0.00021800993,0.00003319343],"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":[0.0000011141102,0.000052140815,0.00039826235,0.0000482828,0.00002456186,0.00003098109,0.000054837114,0.00002984287,0.0000059689546,0.93510264,0.0059240344,0.058327317],"study_design_scores_gemma":[0.0001267193,0.00014603854,0.0012070792,0.00010169415,0.000007584317,0.000025699961,0.0000017149742,0.8453906,0.00009380522,0.12235754,0.030240444,0.00030105314],"about_ca_topic_score_codex":0.000014640227,"about_ca_topic_score_gemma":0.000025353427,"teacher_disagreement_score":0.92282605,"about_ca_system_score_codex":0.000092411894,"about_ca_system_score_gemma":0.00014097217,"threshold_uncertainty_score":0.9999849},"labels":[],"label_agreement":null},{"id":"W4403250057","doi":"10.1111/cgf.15174","title":"PartwiseMPC: Interactive Control of Contact‐Guided Motions","year":2024,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","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":"École de Technologie Supérieure; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Generalization; Trajectory; Exploit; Motion (physics); Set (abstract data type); Pairwise comparison; Range (aeronautics); Motion control; Rigid body; Control (management); Character (mathematics); Theoretical computer science; Algorithm; Artificial intelligence; Programming language; Mathematics; Engineering; Robot","score_opus":0.012813547284550475,"score_gpt":0.2385903263878212,"score_spread":0.22577677910327074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403250057","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":[0.039667666,0.00028881256,0.95653766,0.00027443288,0.0012351848,0.00014193657,0.000031783427,0.0004863944,0.0013361204],"genre_scores_gemma":[0.9994245,0.000029789522,0.00025674855,0.00012258394,0.000093796676,0.000009224465,0.000018520734,0.000018812594,0.000025981073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994453,0.000017467984,0.00020956296,0.00010727641,0.00008541481,0.00013495155],"domain_scores_gemma":[0.99972576,0.000048173482,0.000017950233,0.000112891204,0.000050963215,0.00004424839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006563377,0.00009739134,0.00012923007,0.000198408,0.000032372704,0.00005384231,0.000080788355,0.000047608555,0.000054689197],"category_scores_gemma":[0.0000036957103,0.00009614789,0.00011121584,0.0001760997,0.000022413038,0.00017416285,0.000014692356,0.00014189412,0.000045915527],"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":[0.0000064149317,0.00008586451,0.00096595765,0.00039142332,0.00048674073,0.00001918586,0.0014293002,0.008468,0.006097401,0.90935785,0.05665824,0.016033648],"study_design_scores_gemma":[0.0002899731,0.000055395376,0.0044540376,0.00015417983,0.00002097766,0.000007241671,0.000023010927,0.9765708,0.0005259791,0.0039791465,0.013800083,0.00011916212],"about_ca_topic_score_codex":0.0000025089732,"about_ca_topic_score_gemma":0.000005825524,"teacher_disagreement_score":0.9681028,"about_ca_system_score_codex":0.000019112522,"about_ca_system_score_gemma":0.000008133133,"threshold_uncertainty_score":0.39207968},"labels":[],"label_agreement":null},{"id":"W4403498089","doi":"10.1111/cgf.15186","title":"A Multi‐layer Solver for XPBD","year":2024,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","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":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer graphics (images); Layer (electronics); Solver; Computational science; Parallel computing; Programming language; Materials science","score_opus":0.03378688875819116,"score_gpt":0.28803435990575305,"score_spread":0.2542474711475619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403498089","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":[0.0011279051,0.000940533,0.99121314,0.0025553985,0.0033336165,0.00029813874,0.000009487721,0.00045493848,0.000066831904],"genre_scores_gemma":[0.4236613,0.0000361438,0.5717338,0.0030631071,0.0007050434,0.000095829884,0.000052175463,0.00002861406,0.0006240084],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99864984,0.000026363972,0.0002313206,0.0005294606,0.00021931269,0.0003437008],"domain_scores_gemma":[0.999185,0.0002011946,0.000032890304,0.00033749416,0.00014607122,0.00009735085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026687118,0.00016895511,0.00013543718,0.0003783488,0.00020114846,0.00051595457,0.0005272147,0.0000816336,0.0000051525653],"category_scores_gemma":[0.000009953991,0.00015907017,0.00021305981,0.0008189391,0.000030095203,0.00054823735,0.00022722498,0.00013363056,0.000053074782],"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":[0.0000044720277,0.00006949472,0.000056959554,0.00006504933,0.00006780121,0.000013137667,0.00024927373,0.0017165347,0.00046001165,0.853948,0.05006446,0.09328482],"study_design_scores_gemma":[0.00023072425,0.00008919136,0.00032456891,0.000027264863,0.0000070561564,0.00001989126,0.0000018093067,0.8121321,0.00042899023,0.02126487,0.16529655,0.0001769797],"about_ca_topic_score_codex":0.0000029044802,"about_ca_topic_score_gemma":0.000008457494,"teacher_disagreement_score":0.8326831,"about_ca_system_score_codex":0.000022947508,"about_ca_system_score_gemma":0.00009568544,"threshold_uncertainty_score":0.6486693},"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":"W4403777039","doi":"10.1111/cgf.15209","title":"A TransISP Based Image Enhancement Method for Visual Disbalance in Low‐light Images","year":2024,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Image Enhancement Techniques","field":"Computer Science","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":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Computer vision; Computer science; Artificial intelligence; Image (mathematics); Image enhancement; Computer graphics (images); Visualization","score_opus":0.007436790959442617,"score_gpt":0.2993326905107109,"score_spread":0.29189589955126827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403777039","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":[0.00027269844,0.0005653098,0.98968494,0.0063535064,0.0010671791,0.0009830174,0.0000157949,0.0008948232,0.00016275172],"genre_scores_gemma":[0.111638784,0.000053886986,0.88528824,0.002169112,0.00013908684,0.0005433314,0.000025150373,0.000050811854,0.00009158348],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969984,0.0001306754,0.00055893505,0.0010652866,0.00041752445,0.0008291571],"domain_scores_gemma":[0.9986766,0.00031575206,0.000080210666,0.0006899919,0.00012996524,0.000107454776],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009492615,0.0003950076,0.00039481197,0.00070199446,0.00012881248,0.0006292581,0.0012042583,0.00012035948,0.00001121823],"category_scores_gemma":[0.000013564679,0.00037924328,0.0003058992,0.0012504357,0.00007481455,0.0010346612,0.00027112773,0.00031325337,0.000018356328],"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":[0.0001185298,0.0016124209,0.00035346838,0.0024207872,0.00023430696,0.00046254025,0.0015365256,0.000104723746,0.123102345,0.42262903,0.06926582,0.37815952],"study_design_scores_gemma":[0.0004712507,0.00032555126,0.000109068365,0.0003881725,0.000011090265,0.000005578435,0.0000038651783,0.72697335,0.25008896,0.01053,0.01067998,0.00041310588],"about_ca_topic_score_codex":0.000013096181,"about_ca_topic_score_gemma":0.00001834822,"teacher_disagreement_score":0.7268686,"about_ca_system_score_codex":0.00009430727,"about_ca_system_score_gemma":0.00012456333,"threshold_uncertainty_score":0.99986595},"labels":[],"label_agreement":null},{"id":"W4403777361","doi":"10.1111/cgf.15219","title":"Point‐AGM : Attention Guided Masked Auto‐Encoder for Joint Self‐supervised Learning on Point Clouds","year":2024,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Computer science; Point cloud; Encoder; Joint (building); Point (geometry); Artificial intelligence; Autoencoder; Computer vision; Deep learning; Mathematics; Engineering; Geometry","score_opus":0.019638693318232106,"score_gpt":0.23345719567935094,"score_spread":0.21381850236111882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403777361","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":[0.06747375,0.00042660983,0.9268209,0.0012522155,0.0013103094,0.00024799048,0.000012182678,0.0021622907,0.00029376688],"genre_scores_gemma":[0.9837589,0.00012647346,0.014810112,0.0003749416,0.00039909995,0.000049091657,0.00011454633,0.000118503856,0.00024829354],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982416,0.000043031643,0.0004731824,0.00046613364,0.00025328677,0.000522788],"domain_scores_gemma":[0.9993318,0.00008595451,0.000032787364,0.00032854252,0.00010009744,0.000120872],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042594754,0.00032264699,0.00034584358,0.000487944,0.00020787075,0.00024866077,0.00019903173,0.00016966012,0.000022582273],"category_scores_gemma":[0.000012087064,0.0003128823,0.00058797724,0.0004888589,0.000022775128,0.00016218242,0.00007276956,0.00044502967,0.00006982927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000259923,0.0001809647,0.0006103557,0.001464271,0.0017678825,0.000064099455,0.0016598939,0.84103954,0.0033129791,0.042911757,0.06535557,0.041606713],"study_design_scores_gemma":[0.00039096674,0.00013356403,0.00010718131,0.00028034943,0.00011616842,0.000010381384,0.000045740315,0.9881424,0.00021767178,0.0048874626,0.0052973493,0.000370773],"about_ca_topic_score_codex":0.0000083324885,"about_ca_topic_score_gemma":0.0000053865488,"teacher_disagreement_score":0.9162852,"about_ca_system_score_codex":0.00007973648,"about_ca_system_score_gemma":0.000023823082,"threshold_uncertainty_score":0.99993235},"labels":[],"label_agreement":null},{"id":"W4403896196","doi":"10.1111/cgf.15266","title":"Natural Language Generation for Visualizations: State of the Art, Challenges and Future Directions","year":2024,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","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":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Centre International de Recherche sur le Cancer","keywords":"Computer science; State (computer science); Visualization; Natural (archaeology); Computer graphics (images); Natural language generation; Human–computer interaction; Natural language; Artificial intelligence; Programming language; Geology","score_opus":0.019661466829312323,"score_gpt":0.2910691527554301,"score_spread":0.2714076859261178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403896196","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":[0.00087427394,0.021280622,0.9690277,0.0060162265,0.0023369116,0.00021358945,0.000040763043,0.00015492851,0.00005498337],"genre_scores_gemma":[0.88615197,0.046219125,0.055131868,0.0061648255,0.0032715378,0.00012769565,0.000561003,0.000110368426,0.0022615904],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932545,0.00003820429,0.00015891119,0.00023037115,0.00012762465,0.00011946257],"domain_scores_gemma":[0.9995121,0.00005352263,0.000045583514,0.00027112605,0.0000884285,0.000029234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013704896,0.00008841912,0.00008739235,0.0001447673,0.00013903253,0.00017860167,0.000262708,0.000029907718,7.5819446e-7],"category_scores_gemma":[0.000007780935,0.00006375217,0.00007156399,0.00041417152,0.000043928252,0.00031006304,0.00015287597,0.00006884978,0.0000011329762],"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":[4.7353987e-7,0.000019678117,0.0000129843265,0.000061393526,0.000031932213,5.4063355e-7,0.0013776592,0.000017859007,0.00007873244,0.8501579,0.0072508636,0.14098997],"study_design_scores_gemma":[0.00007221217,0.000026208394,0.00024375587,0.000028022383,0.000009170366,0.0000058257083,0.0000322783,0.7926966,0.0001843273,0.0037690415,0.20285763,0.00007493605],"about_ca_topic_score_codex":0.0000012086356,"about_ca_topic_score_gemma":0.00006624505,"teacher_disagreement_score":0.91389585,"about_ca_system_score_codex":0.0000066930756,"about_ca_system_score_gemma":0.000028027878,"threshold_uncertainty_score":0.2599738},"labels":[],"label_agreement":null},{"id":"W4403896510","doi":"10.1111/cgf.15225","title":"Ray Tracing Animated Displaced Micro‐Meshes","year":2024,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Polygon mesh; Computer graphics (images); Computer science; Ray tracing (physics); Tracing; Animation; Programming language; Optics","score_opus":0.014447233637441567,"score_gpt":0.2765541918707183,"score_spread":0.26210695823327673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403896510","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":[0.006407083,0.0013767924,0.98512655,0.0010099006,0.0023079265,0.00028850083,0.000008887446,0.0032814853,0.000192847],"genre_scores_gemma":[0.93603057,0.00021826773,0.061532855,0.0016981182,0.00027155757,0.000037820013,0.000034696193,0.00006461615,0.000111528905],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99746424,0.00009806726,0.00051128276,0.00091767905,0.00038907334,0.00061965553],"domain_scores_gemma":[0.99855596,0.00017886012,0.000085557534,0.0008365755,0.00015811267,0.0001849411],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00045434196,0.00038019312,0.0003218816,0.0008820977,0.00030731724,0.0015990519,0.0014152111,0.0001724775,0.000008857895],"category_scores_gemma":[0.0000064969445,0.00035555163,0.0003185392,0.0022352792,0.00009858649,0.00094507105,0.0007342491,0.0003676171,0.00003575555],"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":[0.0000028583167,0.00006121519,0.00045965522,0.00009575162,0.00006651886,0.00006244881,0.00054859184,0.00002138509,0.00029258715,0.95984405,0.024266321,0.014278586],"study_design_scores_gemma":[0.00018718373,0.00018296759,0.0006897814,0.00025912732,0.000013425771,0.00006589005,0.000007756763,0.92140913,0.0025638896,0.037062917,0.037048187,0.00050972064],"about_ca_topic_score_codex":0.000016299477,"about_ca_topic_score_gemma":0.000008148359,"teacher_disagreement_score":0.9296235,"about_ca_system_score_codex":0.00003684653,"about_ca_system_score_gemma":0.00008633926,"threshold_uncertainty_score":0.9998897},"labels":[],"label_agreement":null},{"id":"W4404361444","doi":"10.1111/cgf.15246","title":"DiffPop: Plausibility‐Guided Object Placement Diffusion for Image Composition","year":2024,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Generative Adversarial Networks and Image Synthesis","field":"Computer Science","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":"National Natural Science Foundation of China","keywords":"Computer science; Composition (language); Object (grammar); Computer vision; Image (mathematics); Artificial intelligence; Computer graphics (images); Art","score_opus":0.015839737829143864,"score_gpt":0.2601809198382708,"score_spread":0.24434118200912694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404361444","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":[0.0041786884,0.000288535,0.98861736,0.002713218,0.0028585743,0.0006990643,0.000028733906,0.00043499,0.00018083284],"genre_scores_gemma":[0.7484656,0.0000694536,0.24908781,0.0013271939,0.00068883615,0.000109572095,0.0000853783,0.00004012921,0.00012603178],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99777126,0.000108882225,0.0004093732,0.00084770506,0.00032208452,0.00054071716],"domain_scores_gemma":[0.99865985,0.000320586,0.000073850366,0.0006496267,0.00016077123,0.0001353451],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004423202,0.00030652428,0.00028813691,0.00026069602,0.00040357505,0.0008038463,0.00069343316,0.000106959655,0.000010663257],"category_scores_gemma":[0.000011119629,0.00026739982,0.00033177345,0.00054304604,0.00008997701,0.00068952393,0.0005173861,0.00018851958,0.000025677775],"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":[0.00008805395,0.00061744975,0.0003504911,0.0004456863,0.0004097646,0.0001081736,0.0013905814,0.0032023336,0.020373806,0.6135167,0.28567806,0.073818885],"study_design_scores_gemma":[0.00046872275,0.00026089218,0.00031593174,0.000113765826,0.000026094775,0.000021202739,0.000010665799,0.9670711,0.0040067188,0.011241251,0.016121497,0.00034212356],"about_ca_topic_score_codex":0.00001893628,"about_ca_topic_score_gemma":0.00001477942,"teacher_disagreement_score":0.9638688,"about_ca_system_score_codex":0.00007505308,"about_ca_system_score_gemma":0.000061414736,"threshold_uncertainty_score":0.9999778},"labels":[],"label_agreement":null},{"id":"W4404422777","doi":"10.1111/cgf.15269","title":"Mesh Simplification for Unfolding<sup>*</sup>","year":2024,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Canada Research Chairs; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Institut national de recherche en informatique et en automatique (INRIA)","keywords":"Computer science; Process (computing); Algorithm; Plane (geometry); Relaxation (psychology); Geometry; Mathematics","score_opus":0.023621643832054517,"score_gpt":0.2977885322652346,"score_spread":0.2741668884331801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404422777","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":[0.00087530364,0.0006345552,0.9921624,0.0019283623,0.0013047399,0.0006218468,0.000018772173,0.002341339,0.000112700305],"genre_scores_gemma":[0.88354075,0.00028045234,0.11191052,0.0030259732,0.0006539879,0.0002623429,0.000113668946,0.000084796855,0.00012749409],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997604,0.00005730605,0.0005099167,0.0009215093,0.00035477625,0.00055250735],"domain_scores_gemma":[0.9982315,0.00029914142,0.00009091915,0.0009287207,0.0002852832,0.00016446345],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0005554375,0.00032375276,0.0002767406,0.0008791447,0.00032999797,0.0012682315,0.0014456293,0.00017743971,0.000004335407],"category_scores_gemma":[0.00001317347,0.00031787876,0.00036459474,0.0017342719,0.000076191405,0.00081246084,0.0005006707,0.00022296351,0.000018040706],"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":[0.0000021113738,0.000043348824,0.00012309839,0.00008458187,0.000047721544,0.00000461022,0.00033239246,0.000055350338,0.000015956644,0.91630787,0.045498647,0.03748429],"study_design_scores_gemma":[0.0001274805,0.0001549015,0.000052518863,0.00007392439,0.000010376293,0.00001639178,0.000005264802,0.68185526,0.0004266466,0.17320809,0.14379214,0.00027700517],"about_ca_topic_score_codex":0.000007099153,"about_ca_topic_score_gemma":0.0000019285262,"teacher_disagreement_score":0.88266546,"about_ca_system_score_codex":0.00003952707,"about_ca_system_score_gemma":0.000099180565,"threshold_uncertainty_score":0.99992734},"labels":[],"label_agreement":null},{"id":"W4405000865","doi":"10.1111/cgf.15271","title":"The State of the Art in User‐Adaptive Visualizations","year":2024,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","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 British Columbia; University of Toronto","funders":"","keywords":"Computer science; Computer graphics (images); State (computer science); Human–computer interaction; Programming language","score_opus":0.01663240177794631,"score_gpt":0.2825589619793363,"score_spread":0.26592656020138994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405000865","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":[0.0006029982,0.00031683478,0.9952278,0.002493878,0.00093035155,0.00013759661,0.00001540357,0.00008290298,0.00019221794],"genre_scores_gemma":[0.98703665,0.0006695324,0.0059779654,0.0029710738,0.000106418505,0.000024160263,0.000028368035,0.000041605577,0.0031442372],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99890834,0.000095245225,0.00028636563,0.00022806438,0.00026466363,0.00021732642],"domain_scores_gemma":[0.99907506,0.00018815814,0.00006318226,0.0005475765,0.0000899787,0.000036076228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031810853,0.00010134816,0.00009817859,0.00016582267,0.00017081162,0.00033731663,0.0011158338,0.000027112956,0.0000013620735],"category_scores_gemma":[0.000015052897,0.000060598886,0.000096163036,0.0019248977,0.00013420603,0.0003069451,0.00056170544,0.00014453371,0.000016212114],"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":[6.423003e-7,0.000023499615,0.00056314573,0.000008014366,0.00001826967,0.0000027470655,0.00028881495,0.00054098526,0.0000030154008,0.9777103,0.016086727,0.004753806],"study_design_scores_gemma":[0.000066937035,0.000027154527,0.0012056552,0.0000673378,0.000003599755,0.0000034030766,0.000012975135,0.84493273,0.000066975954,0.04381134,0.10972473,0.000077163575],"about_ca_topic_score_codex":0.000008952904,"about_ca_topic_score_gemma":0.00018802485,"teacher_disagreement_score":0.9892498,"about_ca_system_score_codex":0.000015597614,"about_ca_system_score_gemma":0.00009362692,"threshold_uncertainty_score":0.3252752},"labels":[],"label_agreement":null},{"id":"W4409333090","doi":"10.1111/cgf.70023","title":"2D Neural Fields with Learned Discontinuities","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Medical Image Segmentation Techniques","field":"Computer Science","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 Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Classification of discontinuities; Computer science; Computer graphics (images); Artificial intelligence; Artificial neural network; Computer vision; Field (mathematics); Mathematics","score_opus":0.01288096629670099,"score_gpt":0.2692795891248917,"score_spread":0.2563986228281907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409333090","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":[0.0021599494,0.00008761637,0.9888225,0.0067209504,0.00046100654,0.00018339371,9.1778907e-7,0.0005406697,0.0010229907],"genre_scores_gemma":[0.6922167,0.000046426157,0.28600195,0.019965773,0.00009254171,0.0000622851,0.0000102701315,0.000016423694,0.0015876092],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987794,0.00006184134,0.00021905858,0.00036608553,0.0002576943,0.00031591632],"domain_scores_gemma":[0.9990963,0.000110037035,0.000065114284,0.00055957155,0.00008985264,0.00007912601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014995612,0.00015546697,0.00017602493,0.00024656163,0.00014561982,0.0002928741,0.0009399013,0.00007326775,0.0000090475705],"category_scores_gemma":[0.000011828465,0.00012330087,0.000073398594,0.0005953915,0.0001626162,0.00047693134,0.00045195743,0.00025653045,0.000004694766],"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":[0.000013351489,0.00008811268,0.006588738,0.0000514659,0.00006769545,0.00004750951,0.00053944805,0.00002595638,0.00003433487,0.5600098,0.050669566,0.38186407],"study_design_scores_gemma":[0.0029622756,0.0015943254,0.015357278,0.0005870539,0.00006114837,0.00008116533,0.00027160678,0.7394966,0.024639701,0.19316882,0.020270647,0.0015094002],"about_ca_topic_score_codex":0.000028605902,"about_ca_topic_score_gemma":0.000046562734,"teacher_disagreement_score":0.7394706,"about_ca_system_score_codex":0.000013339717,"about_ca_system_score_gemma":0.000046914894,"threshold_uncertainty_score":0.5028063},"labels":[],"label_agreement":null},{"id":"W4409333694","doi":"10.1111/cgf.70024","title":"Approximating Procedural Models of 3D Shapes with Neural Networks","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Japan Society for the Promotion of Science; Government of Ontario","keywords":"Computer science; Artificial neural network; Artificial intelligence; Computer graphics (images)","score_opus":0.008762053484082545,"score_gpt":0.19819684943667867,"score_spread":0.18943479595259613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409333694","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":[0.049348954,0.00046555264,0.949286,0.000090177695,0.00009371049,0.000080592086,0.0000018873391,0.00023344687,0.0003996871],"genre_scores_gemma":[0.9869031,0.00002187401,0.01278263,0.00019976654,0.00004055104,0.000009930514,0.000008229519,0.000020431096,0.0000135192395],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991642,0.000010050681,0.0002694767,0.0001711531,0.00011405097,0.00027106932],"domain_scores_gemma":[0.99966127,0.000030349387,0.00004059601,0.00015810982,0.000073765055,0.000035934416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007738535,0.00016119936,0.00025390837,0.00020184451,0.0000731353,0.00003832586,0.00019185907,0.00006838764,0.0000010716865],"category_scores_gemma":[0.0000015829862,0.00013692642,0.000090144626,0.000553335,0.00004094919,0.00012092417,0.00005786566,0.00019323312,2.2339422e-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":[0.0000040316386,0.000011999982,0.0007148392,0.00011289934,0.00011620385,0.0000010797519,0.00006682279,0.9862437,0.000006181962,0.004829814,0.00027442374,0.0076179923],"study_design_scores_gemma":[0.00017660967,0.000024868852,0.00005742672,0.00012706777,0.00004570922,0.000002258977,0.00002183948,0.9973646,0.000025299218,0.0020032413,0.000011461086,0.00013964825],"about_ca_topic_score_codex":0.0000072565767,"about_ca_topic_score_gemma":0.0000147689025,"teacher_disagreement_score":0.9375541,"about_ca_system_score_codex":0.000008637684,"about_ca_system_score_gemma":0.000009739944,"threshold_uncertainty_score":0.55836976},"labels":[],"label_agreement":null},{"id":"W4409335632","doi":"10.1111/cgf.70008","title":"Material transforms from disentangled NeRF representations","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Agence Nationale de la Recherche","keywords":"Computer science; Computer graphics (images); Artificial intelligence; Computer vision","score_opus":0.0058079377977964435,"score_gpt":0.2151631669689512,"score_spread":0.20935522917115476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409335632","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":[0.21361774,0.00013626182,0.7831245,0.00049779593,0.0011687482,0.00007124671,0.00006843549,0.00039349476,0.00092175545],"genre_scores_gemma":[0.9977606,0.0000761644,0.0015289492,0.00021541727,0.00013302438,0.000012452248,0.00018211146,0.000016578186,0.00007470026],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930876,0.000011019424,0.00021134414,0.00017865167,0.00009109942,0.00019911901],"domain_scores_gemma":[0.99963725,0.000027653714,0.000011658979,0.00025323653,0.000024198402,0.000045980385],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000033615095,0.00012526654,0.0001648093,0.00018324298,0.000097572876,0.00008583987,0.00016959816,0.00006699947,0.000026919955],"category_scores_gemma":[0.0000013584971,0.00011891328,0.00015215938,0.00034576285,0.000025476551,0.00008523716,0.000030137864,0.0001019531,0.0000110494975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011913202,0.00043820782,0.054476015,0.00037662228,0.00460354,0.0000877829,0.0024936511,0.53053373,0.00744905,0.11460181,0.15116763,0.13365285],"study_design_scores_gemma":[0.00029817192,0.000007509404,0.0012777939,0.00003745283,0.00007662196,4.3606173e-7,0.000035904653,0.9788799,0.0017030801,0.015904892,0.0016170958,0.00016108337],"about_ca_topic_score_codex":0.00007571072,"about_ca_topic_score_gemma":0.00007250377,"teacher_disagreement_score":0.78414285,"about_ca_system_score_codex":0.000013997354,"about_ca_system_score_gemma":0.000007867051,"threshold_uncertainty_score":0.4849143},"labels":[],"label_agreement":null},{"id":"W4409335792","doi":"10.1111/cgf.70010","title":"FastAtlas: Real‐Time Compact Atlases for Texture Space Shading","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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 Toronto; Northern Digital (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer graphics (images); Shading; Computer vision; Texture (cosmology); Artificial intelligence; Image (mathematics)","score_opus":0.013062479766452709,"score_gpt":0.2914375436499554,"score_spread":0.2783750638835027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409335792","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":[0.0009175819,0.00018582238,0.9914049,0.0030352902,0.0009113246,0.0007730348,0.000023943594,0.0014429991,0.0013050911],"genre_scores_gemma":[0.8071232,0.0006105874,0.17903467,0.010075961,0.000634793,0.0001953845,0.0002346063,0.00014167404,0.0019491517],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99735093,0.00009594729,0.0005549283,0.00092438865,0.0003284851,0.0007453119],"domain_scores_gemma":[0.9975714,0.0005053959,0.00022085386,0.0011071302,0.00041406188,0.00018117887],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004515896,0.0004422867,0.0005126434,0.001050193,0.0005706961,0.0007668944,0.0018919649,0.00021172318,0.0000047916697],"category_scores_gemma":[0.000024790641,0.00043403817,0.00042330555,0.0020295675,0.00012431241,0.00058729976,0.00071588997,0.00025641717,0.00000887298],"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":[0.0000090465,0.00009933849,0.0013571053,0.00006130384,0.0000759195,0.0000045010784,0.00011204915,0.000035597324,0.00007938789,0.8900557,0.09957423,0.008535801],"study_design_scores_gemma":[0.00053740025,0.00026009761,0.0012006068,0.00019464779,0.000019661857,0.000008702192,0.000007975628,0.76795965,0.0010773886,0.15736793,0.07091648,0.00044944626],"about_ca_topic_score_codex":0.000045605066,"about_ca_topic_score_gemma":0.000017550035,"teacher_disagreement_score":0.81237024,"about_ca_system_score_codex":0.00005731328,"about_ca_system_score_gemma":0.00014315954,"threshold_uncertainty_score":0.9998111},"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":"W4409564695","doi":"10.1111/cgf.70041","title":"Axis‐Normalized Ray‐Box Intersection","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Advanced Micro Devices (Canada)","funders":"Technische Universiteit Delft; Deutsche Forschungsgemeinschaft","keywords":"Intersection (aeronautics); Computer graphics (images); Computer science; Computer vision; Artificial intelligence; Cartography; Geography","score_opus":0.011274983985948324,"score_gpt":0.2758424267326369,"score_spread":0.2645674427466886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409564695","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":[0.0010887554,0.00019379877,0.991247,0.0012013477,0.0027154363,0.00032356163,0.0000021326161,0.0014240226,0.0018039405],"genre_scores_gemma":[0.9133953,0.00020724104,0.07715753,0.008626916,0.00017675248,0.000076794495,0.000025038891,0.00003066427,0.00030379693],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99783736,0.00012488966,0.000527881,0.0007064402,0.0003065504,0.0004968743],"domain_scores_gemma":[0.9982825,0.00010379658,0.00015621376,0.0010415977,0.00029791522,0.00011800075],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00041379972,0.0003110334,0.00032170882,0.0012435034,0.00036702977,0.0005550856,0.0016335371,0.00017777334,0.0000071968147],"category_scores_gemma":[0.000011971374,0.0003154332,0.00029435783,0.0024257791,0.000102097925,0.000668143,0.0011896746,0.00030981636,0.0000122555775],"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":[0.0000060138746,0.000085463864,0.001523336,0.00002473881,0.000051676052,0.000005666586,0.00012521652,0.000013030926,0.000027587495,0.96040004,0.019532308,0.018204903],"study_design_scores_gemma":[0.0006544867,0.00020111317,0.0015846402,0.00012687103,0.000012675847,0.000014134119,0.000010613114,0.6369668,0.001730952,0.26778427,0.09049329,0.00042011344],"about_ca_topic_score_codex":0.000041956602,"about_ca_topic_score_gemma":0.00002295041,"teacher_disagreement_score":0.9140895,"about_ca_system_score_codex":0.00005021961,"about_ca_system_score_gemma":0.00009258556,"threshold_uncertainty_score":0.9999298},"labels":[],"label_agreement":null},{"id":"W4409564769","doi":"10.1111/cgf.70033","title":"A unified multi‐scale method for simulating immersed bubbles","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Lattice Boltzmann Simulation Studies","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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer graphics (images); Scale (ratio); Computational science; Physics","score_opus":0.023939621974572053,"score_gpt":0.3031567600345073,"score_spread":0.27921713805993525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409564769","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":[0.004727962,0.0003239147,0.9921736,0.0003187917,0.00093229633,0.0004556873,0.000017140645,0.0005294679,0.00052113796],"genre_scores_gemma":[0.514616,0.000021144439,0.48397556,0.00080202625,0.000114986025,0.00005617694,0.000026361158,0.000058040583,0.0003296933],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988647,0.00002933414,0.00034668104,0.00026512874,0.00010858911,0.00038555477],"domain_scores_gemma":[0.9988132,0.0006515828,0.00004250653,0.00029107404,0.00015170296,0.00004989509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022845481,0.00022310548,0.0003065151,0.00027750997,0.0002228736,0.00006341371,0.00019358801,0.00011341048,0.0000022420882],"category_scores_gemma":[0.000025190464,0.00022799015,0.00017670805,0.0004800559,0.000038448696,0.00011826283,0.00012236193,0.00014588084,0.000004305183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003969143,0.00009017862,0.011995533,0.0006112311,0.0008356324,0.000002904951,0.0011132921,0.8448592,0.0010756642,0.091819905,0.011246672,0.036310103],"study_design_scores_gemma":[0.001133479,0.000018787752,0.0021963476,0.00005666763,0.000048717564,4.4917655e-7,0.00012622157,0.9733743,0.0004457555,0.0036141824,0.018760089,0.00022500225],"about_ca_topic_score_codex":0.00000947927,"about_ca_topic_score_gemma":0.000060868,"teacher_disagreement_score":0.50988805,"about_ca_system_score_codex":0.000032730375,"about_ca_system_score_gemma":0.000019059233,"threshold_uncertainty_score":0.9297168},"labels":[],"label_agreement":null},{"id":"W4409565221","doi":"10.1111/cgf.70075","title":"Real‐time procedural resurfacing using GPU mesh shader","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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 Sherbrooke","funders":"","keywords":"Shader; Computer science; Computer graphics (images); Parallel computing; General-purpose computing on graphics processing units; Rendering (computer graphics); Graphics","score_opus":0.019487815134603324,"score_gpt":0.2972463859786822,"score_spread":0.27775857084407884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409565221","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":[0.013231051,0.00011062524,0.9819399,0.0011769503,0.0008737969,0.0004091276,0.0000039110328,0.0014127905,0.00084186124],"genre_scores_gemma":[0.6261568,0.00032617972,0.36315563,0.009306324,0.00032952585,0.000059199614,0.00004181054,0.00009310039,0.0005313987],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972518,0.000121677986,0.0006252982,0.00089875615,0.00041476698,0.0006876686],"domain_scores_gemma":[0.99805844,0.00012212363,0.0001999348,0.0010975922,0.00037508146,0.00014684089],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048805657,0.00038359812,0.00041182045,0.0010382072,0.00053723657,0.00067751424,0.001751461,0.00020945679,0.000005233681],"category_scores_gemma":[0.000014204134,0.0003906222,0.00026464657,0.0027025882,0.00012030365,0.0007575001,0.0014477279,0.0003093331,0.0000089760215],"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":[0.00000461039,0.00007591063,0.0019102524,0.000050046434,0.000061130195,0.000010192371,0.00018532478,0.00005919512,0.00039991573,0.9796963,0.01406369,0.0034834773],"study_design_scores_gemma":[0.0003230771,0.00008830009,0.001098413,0.00020809425,0.000014916822,0.000018601491,0.000006064463,0.9122384,0.0016300913,0.07847533,0.0054752305,0.00042347715],"about_ca_topic_score_codex":0.00007161248,"about_ca_topic_score_gemma":0.000007898715,"teacher_disagreement_score":0.91217923,"about_ca_system_score_codex":0.000065997636,"about_ca_system_score_gemma":0.00020926583,"threshold_uncertainty_score":0.99985456},"labels":[],"label_agreement":null},{"id":"W4409586884","doi":"10.1111/cgf.70082","title":"Multiphysics Simulation Methods in Computer Graphics","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; National Alliance for Accessible Golf; Deutsche Forschungsgemeinschaft; National Science Foundation","keywords":"Computer science; Multiphysics; Computer graphics (images); Computer graphics; Graphics; Scientific visualization; Rendering (computer graphics); Computational science; Engineering drawing; Finite element method; Engineering; Structural engineering","score_opus":0.027084628313763126,"score_gpt":0.37116448893827286,"score_spread":0.34407986062450974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409586884","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":[0.0012772189,0.000229489,0.99436283,0.0006378756,0.0018003713,0.00059059187,0.0000037236175,0.0009654667,0.00013240309],"genre_scores_gemma":[0.42751196,0.00015061795,0.5655194,0.006484037,0.00017761803,0.00006021808,0.000029603658,0.00004053575,0.000026007314],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9962891,0.0004570112,0.0009553301,0.0011288852,0.000423664,0.0007460532],"domain_scores_gemma":[0.996971,0.0007510679,0.00026067093,0.0014430912,0.0004253022,0.00014884093],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010840922,0.0005061337,0.0005914051,0.0021577934,0.00032396498,0.000554081,0.0019727217,0.00032395942,0.0000022564927],"category_scores_gemma":[0.00002320549,0.0005380422,0.00037537675,0.0051651737,0.00016032858,0.00083818357,0.001502404,0.000597998,0.000004911299],"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":[0.000005523283,0.00021729764,0.005918928,0.000044863165,0.000046242047,0.000008690018,0.00021631975,0.0036953571,0.0000111908275,0.8886384,0.0012990545,0.09989817],"study_design_scores_gemma":[0.000565553,0.00011497909,0.005941678,0.00012742552,0.000009056205,0.000002707719,0.0000026818423,0.7972133,0.00038809903,0.18565974,0.00955271,0.00042207897],"about_ca_topic_score_codex":0.0000615605,"about_ca_topic_score_gemma":0.000043737848,"teacher_disagreement_score":0.79351795,"about_ca_system_score_codex":0.00006872064,"about_ca_system_score_gemma":0.0001241042,"threshold_uncertainty_score":0.9997071},"labels":[],"label_agreement":null},{"id":"W4410681938","doi":"10.1111/cgf.70133","title":"Embedded and Situated Visualisation in Mixed Reality to Support Interval Running","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","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 Victoria","funders":"","keywords":"Situated; Computer science; Visualization; Interval (graph theory); Computer graphics (images); Human–computer interaction; Mixed reality; Virtual reality; Artificial intelligence; Mathematics","score_opus":0.0297518710130387,"score_gpt":0.32444317844934656,"score_spread":0.29469130743630784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410681938","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":[0.17318122,0.0000133940675,0.82098114,0.0048282696,0.00023893102,0.00026875906,0.0000036884219,0.00011721546,0.00036734162],"genre_scores_gemma":[0.9866205,0.000010417889,0.009945187,0.0033224847,0.000019039131,0.00002581278,0.000020013627,0.000005792994,0.00003075828],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99862313,0.00006989878,0.00036112216,0.00045154133,0.00016446745,0.00032981593],"domain_scores_gemma":[0.99909115,0.000084325075,0.00006500971,0.00052912644,0.00009423218,0.00013615828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005663322,0.00014874867,0.00021140705,0.00049781776,0.00012589787,0.00025485584,0.0005273376,0.00008609545,0.0000013635441],"category_scores_gemma":[0.00003468773,0.00015319957,0.00004948666,0.0014023986,0.0000470464,0.0003815695,0.0006264182,0.00015706364,0.0000070165547],"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":[0.00001628439,0.00013165503,0.006783843,0.000032424145,0.00002453221,0.000005552805,0.0016209672,0.00012997765,0.00034557638,0.86874235,0.008628258,0.11353858],"study_design_scores_gemma":[0.0010477161,0.0004716085,0.3103064,0.00016939211,0.000010775053,0.000011556992,0.00013461016,0.6007845,0.0011685798,0.07321286,0.012236966,0.00044507085],"about_ca_topic_score_codex":0.00015613619,"about_ca_topic_score_gemma":0.00030170343,"teacher_disagreement_score":0.81343925,"about_ca_system_score_codex":0.000048087702,"about_ca_system_score_gemma":0.00007433199,"threshold_uncertainty_score":0.6247297},"labels":[],"label_agreement":null},{"id":"W4410777882","doi":"10.1111/cgf.70079","title":"State‐of‐the‐art Report in Sketch Processing","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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 de Montréal; University of Toronto","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Sketch; Computer science; Computer graphics (images); State (computer science); Artificial intelligence; Computer vision; Programming language; Algorithm","score_opus":0.011025023933473859,"score_gpt":0.28452530686837796,"score_spread":0.2735002829349041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410777882","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":[0.008810998,0.00019851218,0.98740524,0.0017807084,0.0007764713,0.00030103876,0.0000010940414,0.00024014771,0.00048579756],"genre_scores_gemma":[0.9773628,0.00004509242,0.020372527,0.0019062643,0.000025584417,0.000028556708,0.0000042494926,0.00001414993,0.00024075998],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980823,0.00008380382,0.00066868967,0.00050173054,0.00032513225,0.00033833834],"domain_scores_gemma":[0.9983887,0.000060445094,0.00025402816,0.0009930521,0.0002575656,0.000046197558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005360575,0.00019166514,0.00026900184,0.0007174958,0.00015104508,0.00017907961,0.0015733257,0.00008050947,6.6828824e-7],"category_scores_gemma":[0.000016774175,0.00016290697,0.00016780345,0.0034479129,0.00012085289,0.00033920695,0.0011492411,0.0002532921,9.296862e-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":[0.0000026685773,0.0001447683,0.061930895,0.00008771543,0.000016464728,0.000025960328,0.00022152651,0.000050122846,0.000016917229,0.86173975,0.008717445,0.06704573],"study_design_scores_gemma":[0.00035269166,0.00006489485,0.055086333,0.0004655936,0.000005569974,0.000041225663,0.000003876807,0.6227583,0.0025533955,0.2842216,0.03414652,0.00029999836],"about_ca_topic_score_codex":0.00002385245,"about_ca_topic_score_gemma":0.00010380752,"teacher_disagreement_score":0.9685518,"about_ca_system_score_codex":0.000027553979,"about_ca_system_score_gemma":0.00021152021,"threshold_uncertainty_score":0.66431534},"labels":[],"label_agreement":null},{"id":"W4410777883","doi":"10.1111/cgf.70052","title":"ASMR: Adaptive Skeleton‐Mesh Rigging and Skinning via 2D Generative Prior","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Human Motion and Animation","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":"Ministry of Science and ICT, South Korea; National Research Foundation of Korea","keywords":"Skinning; Computer science; Skeleton (computer programming); Generative grammar; Computer graphics (images); Mesh generation; Artificial intelligence; Computer vision; Engineering drawing; Engineering; Finite element method; Mechanical engineering; Programming language","score_opus":0.008271803109512746,"score_gpt":0.21543264299170037,"score_spread":0.20716083988218761,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410777883","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":[0.065962635,0.00030365205,0.9310599,0.00020035943,0.0004535319,0.00014467,0.0000023184566,0.00029769444,0.0015752271],"genre_scores_gemma":[0.98953885,0.000054164073,0.009669732,0.0005155158,0.000097988406,0.000010325142,0.0000095447995,0.000017758251,0.0000861063],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993416,0.000022205533,0.0001689508,0.00017763136,0.000081454564,0.00020812449],"domain_scores_gemma":[0.99973094,0.00003345109,0.00002546704,0.000115337396,0.00004699753,0.00004777748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000086763284,0.00014378077,0.00014482312,0.00023400268,0.00019211628,0.00008163516,0.00008542468,0.00006987153,0.000008821314],"category_scores_gemma":[0.0000028066445,0.0001508934,0.000051623225,0.00022792531,0.000043263117,0.00014968483,0.00006352126,0.00017977544,0.000008442622],"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":[0.00001153281,0.000051722945,0.004971892,0.00021610124,0.0003259207,0.000015117286,0.0025082307,0.006830758,0.0015912026,0.7480159,0.016525878,0.21893577],"study_design_scores_gemma":[0.0003507033,0.000039242983,0.009715339,0.0001086715,0.000014275323,0.0000038816625,0.00004268666,0.9739454,0.0007066623,0.007764511,0.00711117,0.00019749341],"about_ca_topic_score_codex":0.0000027828632,"about_ca_topic_score_gemma":0.000016683522,"teacher_disagreement_score":0.9671146,"about_ca_system_score_codex":0.000028339988,"about_ca_system_score_gemma":0.000009622207,"threshold_uncertainty_score":0.6153254},"labels":[],"label_agreement":null},{"id":"W4410779465","doi":"10.1111/cgf.70092","title":"Survey on Modeling of Human‐made Articulated Objects","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","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":"Simon Fraser University","funders":"Simon Fraser University; Canada Research Chairs","keywords":"Computer science; Computer graphics (images); Computer vision; Artificial intelligence; Human–computer interaction; Engineering drawing; Engineering","score_opus":0.03309162082014888,"score_gpt":0.24562227409968115,"score_spread":0.21253065327953227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410779465","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":[0.99308896,0.00026764732,0.0033096892,0.00006965764,0.00049137,0.00009931348,0.000044062213,0.000067085275,0.002562226],"genre_scores_gemma":[0.9991518,0.000012383598,0.0001211272,0.0003844216,0.000018955352,3.0288496e-7,0.00019730054,0.0000023796902,0.000111321446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989982,0.0001370745,0.00023267874,0.00021774755,0.0001573253,0.00025692888],"domain_scores_gemma":[0.9994905,0.00012320932,0.00004485837,0.00020579719,0.00008033209,0.000055323835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036769785,0.00012222124,0.00018723129,0.00012495146,0.00018524831,0.000038925504,0.00020220462,0.00007870816,0.000035818193],"category_scores_gemma":[0.000015583406,0.000097003875,0.00008230362,0.00049136713,0.000049892187,0.00006610754,0.000018874594,0.00015488568,0.000017760927],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037272373,0.00004733132,0.91583955,0.000034988858,0.0000657924,0.0000062931745,0.00015030365,0.0743633,0.000040073555,0.0022908954,0.0018217448,0.005302456],"study_design_scores_gemma":[0.00014882149,0.00010763545,0.50742584,0.000058756934,0.000004781766,3.9533143e-7,0.000017063538,0.4900061,0.00005905433,0.0020556494,0.000022208249,0.0000937132],"about_ca_topic_score_codex":0.0018088873,"about_ca_topic_score_gemma":0.005131972,"teacher_disagreement_score":0.4156428,"about_ca_system_score_codex":0.0000018519067,"about_ca_system_score_gemma":0.00001952623,"threshold_uncertainty_score":0.3955703},"labels":[],"label_agreement":null},{"id":"W4412591878","doi":"10.1111/cgf.70143","title":"Front Matter","year":2025,"lang":"en","type":"paratext","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","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":"Lawrence Berkeley National Laboratory; School of Medicine, Stanford University; Stony Brook University; Sorbonne Université; Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ; Universität Stuttgart; Universität Duisburg-Essen; Newcastle University; Rheinische Friedrich-Wilhelms-Universität Bonn; Syddansk Universitet; Linköpings Universitet; Universitetet i Bergen; Zhejiang University; Centre National de la Recherche Scientifique; Université de Toulouse; Tianjin University; Simon Fraser University; Universität Zürich; Universität Rostock; Technische Universität München; Tsinghua University; Renmin University of China; Gottfried Wilhelm Leibniz Universität Hannover; Linnéuniversitetet; North Carolina State University; Carnegie Mellon University; Advanced Micro Devices; Khalifa University of Science, Technology and Research; École Centrale de Lyon; Fudan University; Université Paris-Saclay; Universita degli Studi di Bari Aldo Moro; Universiteit Utrecht; Nanyang Technological University; University of Leeds; Augusta University; Indian Institute of Technology Kanpur; King Abdullah University of Science and Technology; York University; Technische Universität Kaiserslautern; Technische Universität Wien; Leibniz-Gemeinschaft; Sapienza Università di Roma; Universität Wien; Emory University; University of Oklahoma; Purdue University; Medizinischen Hochschule Hannover; Universität Passau; University of Notre Dame; Brown University","keywords":"Computer science; Computer graphics (images); Front (military); Geology","score_opus":0.015227993820295924,"score_gpt":0.280637806926757,"score_spread":0.26540981310646106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412591878","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":[7.5160415e-7,0.0006732359,0.90253836,0.0020987948,0.008353493,0.00018797992,0.00014943666,0.0001365287,0.08586143],"genre_scores_gemma":[0.00018649988,0.0011877286,0.038672257,0.058652826,0.0010433459,0.00003870993,0.0023235662,0.00007646281,0.8978186],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974782,0.00009449033,0.0005249366,0.0009075354,0.0004213633,0.00057350897],"domain_scores_gemma":[0.9976317,0.00007671437,0.00024123992,0.0016832437,0.0002108831,0.00015617411],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00015736486,0.0004652124,0.00053577725,0.0007628921,0.0002127265,0.0008353801,0.0030662918,0.00039066508,0.001984929],"category_scores_gemma":[0.000004625084,0.0004518041,0.00031800862,0.0007304286,0.000080379206,0.000362805,0.0019436707,0.0005082894,0.043179724],"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":[7.690666e-7,0.000047078498,0.00006529428,0.00009469201,0.000074991185,0.000006421749,0.000030124034,0.000035502424,1.7235801e-7,0.08315535,0.9141006,0.0023889942],"study_design_scores_gemma":[0.0001727061,0.0000319027,0.000045193377,0.00019207159,0.000017930357,0.0000054470356,0.0000017556025,0.12609708,0.000011264186,0.0017214082,0.8712699,0.0004333551],"about_ca_topic_score_codex":0.000020264502,"about_ca_topic_score_gemma":0.000007582811,"teacher_disagreement_score":0.8638661,"about_ca_system_score_codex":0.00004261063,"about_ca_system_score_gemma":0.00023167196,"threshold_uncertainty_score":0.99979335},"labels":[],"label_agreement":null},{"id":"W4412637644","doi":"10.1111/cgf.70180","title":"VideoMat: Extracting PBR Materials from Video Diffusion Models","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Vector Institute; University of Toronto","funders":"","keywords":"Computer science; Computer graphics (images); Diffusion; Computer vision; Artificial intelligence","score_opus":0.017419284831496875,"score_gpt":0.2738826263472077,"score_spread":0.2564633415157109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412637644","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":[0.026856061,0.00034002206,0.9668331,0.0010727533,0.0028632642,0.0003643736,0.000017821845,0.0012398417,0.0004127488],"genre_scores_gemma":[0.9213475,0.00026004956,0.07353825,0.0044232234,0.00022405921,0.00005421191,0.000055281682,0.000034785335,0.000062659834],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970338,0.00017277907,0.00077681855,0.0009957834,0.00043226525,0.00058858783],"domain_scores_gemma":[0.99762875,0.0003157132,0.00028076195,0.0013716627,0.00026048144,0.00014263515],"candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00047577987,0.0004110803,0.00047918718,0.0008625777,0.00050016784,0.0010621791,0.0020270091,0.00024768224,0.000013476332],"category_scores_gemma":[0.000015875466,0.00041134344,0.00022785222,0.0014494103,0.00008353746,0.0012066689,0.0019766751,0.00027548187,0.0000104909495],"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":[0.0000065678914,0.00011486712,0.0005317363,0.000024836558,0.00005136597,0.000011208579,0.00020195195,0.000041131698,0.0008426728,0.9705202,0.008261285,0.019392166],"study_design_scores_gemma":[0.0003235331,0.000052521817,0.0011772398,0.00019449559,0.0000118632615,0.000004367859,0.0000066780335,0.56271267,0.008135485,0.42110965,0.0059367875,0.00033469143],"about_ca_topic_score_codex":0.00023625491,"about_ca_topic_score_gemma":0.00002705748,"teacher_disagreement_score":0.89449143,"about_ca_system_score_codex":0.00003980564,"about_ca_system_score_gemma":0.0000743801,"threshold_uncertainty_score":0.9999748},"labels":[],"label_agreement":null},{"id":"W4413788813","doi":"10.1111/cgf.70205","title":"The Affine Heat Method","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Composite Material Mechanics","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":"Crosslight Software (Canada)","funders":"","keywords":"Computer science; Affine transformation; Computer graphics (images); Artificial intelligence; Mathematics; Geometry","score_opus":0.0042476075102208105,"score_gpt":0.22261667744488506,"score_spread":0.21836906993466426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413788813","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":[0.0054514864,0.0006506179,0.98499244,0.0012813802,0.005277108,0.00017310336,0.0000041089115,0.00054002146,0.0016297228],"genre_scores_gemma":[0.938595,0.0005408217,0.057137433,0.0023024613,0.0006705522,0.000084427804,0.000021892294,0.00012062155,0.0005268064],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993005,0.000030861265,0.0001717668,0.00013335606,0.000084010055,0.00027953682],"domain_scores_gemma":[0.99940044,0.00014480889,0.000007997627,0.0003794906,0.000032557222,0.00003471889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016828797,0.00013431655,0.00013050582,0.000103983315,0.00017251864,0.00012876959,0.000339896,0.00006245244,0.000004830979],"category_scores_gemma":[0.0000039931015,0.000106763495,0.000076385484,0.00035932605,0.000017909164,0.000040355953,0.00019126105,0.00014492519,0.000011822523],"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":[0.000012596608,0.000015759433,0.00008395097,0.00006260603,0.00013705858,0.0000050560957,0.00004524999,0.0056347093,0.005906451,0.88757926,0.033916067,0.06660121],"study_design_scores_gemma":[0.00017835459,0.0000245678,0.00021674702,0.000031931657,0.000013588014,0.000005202034,0.000004906525,0.713707,0.00624825,0.022199797,0.25723413,0.00013555233],"about_ca_topic_score_codex":0.0000058100136,"about_ca_topic_score_gemma":0.00002572243,"teacher_disagreement_score":0.9331435,"about_ca_system_score_codex":0.0000245954,"about_ca_system_score_gemma":0.000008039677,"threshold_uncertainty_score":0.4353689},"labels":[],"label_agreement":null},{"id":"W4413788839","doi":"10.1111/cgf.70194","title":"One‐Shot Method for Computing Generalized Winding Numbers","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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 de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computer graphics (images); Shot (pellet); One shot; Theoretical computer science; Computational science","score_opus":0.047817768508175026,"score_gpt":0.3622869660720448,"score_spread":0.31446919756386976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413788839","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":[0.00067044346,0.00018816807,0.9929464,0.0017496113,0.0018569339,0.0007970021,0.0000073956653,0.0012466938,0.00053734327],"genre_scores_gemma":[0.08864608,0.000054892353,0.90265983,0.008184552,0.00022101554,0.000066295754,0.00003776584,0.00003932565,0.00009024048],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99690473,0.00018943528,0.0007350203,0.0010289004,0.00035779722,0.00078413385],"domain_scores_gemma":[0.9975834,0.00052744837,0.0002642877,0.0010428813,0.0004241401,0.00015786714],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010655415,0.00038977267,0.0005542973,0.0011154129,0.00071203435,0.00071133015,0.0020065487,0.00022378477,0.0000024282226],"category_scores_gemma":[0.000026431659,0.00044571556,0.00046482182,0.002260073,0.00007985723,0.00043473416,0.0012095132,0.0002873933,0.000002442432],"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":[0.000007073498,0.000097638345,0.0010019952,0.00006933399,0.00012065579,0.0000016950972,0.00019847754,0.0000864996,0.00007035163,0.9468435,0.010367079,0.04113569],"study_design_scores_gemma":[0.00073962164,0.000111465386,0.00049304083,0.00013672218,0.000023389339,0.0000056090757,0.0000072056723,0.7735347,0.0018028761,0.19688046,0.025860589,0.0004043168],"about_ca_topic_score_codex":0.000048824775,"about_ca_topic_score_gemma":0.000020402542,"teacher_disagreement_score":0.7734482,"about_ca_system_score_codex":0.0000592928,"about_ca_system_score_gemma":0.00012912099,"threshold_uncertainty_score":0.9997995},"labels":[],"label_agreement":null},{"id":"W4413789083","doi":"10.1111/cgf.70202","title":"Uniform Sampling of Surfaces by Casting Rays","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Research Canada; University of Toronto","funders":"Canada Research Chairs; Adobe Systems","keywords":"Computer graphics (images); Computer science; Sampling (signal processing); Ray casting; Casting; Engineering drawing; Rendering (computer graphics); Computer vision; Materials science; Metallurgy; Volume rendering; Engineering","score_opus":0.011602949830564077,"score_gpt":0.22455521069885828,"score_spread":0.21295226086829422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413789083","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":[0.16052581,0.00091204006,0.83745676,0.00007296509,0.00025288106,0.00003265356,0.000011364498,0.00016571966,0.00056976685],"genre_scores_gemma":[0.9938599,0.00010637539,0.0058710673,0.000071057344,0.000019423222,0.0000014889438,0.000017072967,0.000013350294,0.00004030492],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993112,0.000007277865,0.00024360468,0.0001290094,0.00009167774,0.00021723703],"domain_scores_gemma":[0.999643,0.00006750482,0.000028565893,0.00017622866,0.000052713982,0.000031977786],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012012954,0.00011702312,0.00019919469,0.00019761457,0.000075827586,0.000028635148,0.00016904376,0.00006451549,0.0000027372548],"category_scores_gemma":[0.000004962065,0.00011908577,0.00010767325,0.00047449104,0.000027104672,0.000054209737,0.000057519967,0.00013399043,0.0000016119448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000002801293,0.00002957309,0.010330201,0.0002734833,0.0003354782,0.0000015300475,0.00016506105,0.9516238,0.0012690563,0.008114843,0.007875961,0.01997823],"study_design_scores_gemma":[0.00011053573,0.000009103552,0.00010548704,0.00009662564,0.000027247737,5.438548e-7,0.00003085915,0.99560916,0.0010414621,0.0015437364,0.0013149105,0.0001103179],"about_ca_topic_score_codex":0.000029692963,"about_ca_topic_score_gemma":0.000017813232,"teacher_disagreement_score":0.833334,"about_ca_system_score_codex":0.000012069564,"about_ca_system_score_gemma":0.000009303066,"threshold_uncertainty_score":0.4856177},"labels":[],"label_agreement":null},{"id":"W4413814198","doi":"10.1111/cgf.70203","title":"FRIDU: Functional Map Refinement with Guided Image Diffusion","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Medical Image Segmentation Techniques","field":"Computer Science","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":"Azrieli Foundation; Israel Science Foundation","keywords":"Computer science; Computer vision; Image (mathematics); Artificial intelligence; Computer graphics (images); Diffusion","score_opus":0.012052636813164777,"score_gpt":0.2582228521678884,"score_spread":0.2461702153547236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413814198","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":[0.00053326704,0.00006121692,0.98731524,0.009370814,0.00081577734,0.00028721383,0.0000022208535,0.00058376906,0.0010304675],"genre_scores_gemma":[0.013262133,0.000045425775,0.96763647,0.017614814,0.00012422737,0.00010105019,0.000050485036,0.000019157274,0.0011462464],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99819046,0.00006363787,0.0003462911,0.00052690745,0.00052422495,0.00034848807],"domain_scores_gemma":[0.99873596,0.00008049797,0.000104838,0.0007245715,0.00023539936,0.00011875733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026628497,0.00020540025,0.00018817333,0.0003819823,0.00023438045,0.0002314092,0.0008022303,0.0000745987,0.00004818603],"category_scores_gemma":[0.000011541121,0.00016613553,0.000087087865,0.00074327993,0.00014293344,0.00040424976,0.00071177253,0.00022171538,0.000028831351],"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":[0.00001766896,0.00024382719,0.0019188869,0.00007137881,0.00007615106,0.000041509535,0.00009281956,0.000009099524,0.0015259269,0.343505,0.57701516,0.07548255],"study_design_scores_gemma":[0.008061104,0.0017168103,0.04062944,0.0012424244,0.000112606685,0.00012092372,0.000098509125,0.48846972,0.07443177,0.19676691,0.18606593,0.0022838337],"about_ca_topic_score_codex":0.000021358966,"about_ca_topic_score_gemma":0.00001078078,"teacher_disagreement_score":0.48846063,"about_ca_system_score_codex":0.00005071932,"about_ca_system_score_gemma":0.0000979953,"threshold_uncertainty_score":0.67748106},"labels":[],"label_agreement":null},{"id":"W4413814224","doi":"10.1111/cgf.70192","title":"Representing Animatable Avatar via Factorized Neural Fields","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Vector Institute; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Maryland Advanced Research Computing Center; Canadian Institute for Advanced Research; Vector Institute; Compute Canada; Knut och Alice Wallenbergs Stiftelse","keywords":"Avatar; Computer science; Computer graphics (images); Artificial intelligence; Computer vision; Human–computer interaction","score_opus":0.015735782056338323,"score_gpt":0.28474517476441835,"score_spread":0.26900939270808005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413814224","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":[0.0031052073,0.00024902346,0.991342,0.001397553,0.0018247825,0.00029763588,0.0000028289403,0.0011542059,0.0006267568],"genre_scores_gemma":[0.9473346,0.000081993654,0.047669675,0.004468378,0.00015331118,0.000034842393,0.000023883113,0.00002348137,0.00020983095],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99763024,0.00010665342,0.0005396223,0.0007991212,0.00033239558,0.0005919768],"domain_scores_gemma":[0.9979675,0.00017284043,0.00016427597,0.0013215899,0.0002563987,0.00011739889],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00036578864,0.00030377368,0.00035018096,0.00072209944,0.00043210495,0.0006314966,0.0018867239,0.00017834104,0.000007933845],"category_scores_gemma":[0.000018659633,0.0003063911,0.00025305076,0.0019577981,0.00007357583,0.0007437803,0.0017620418,0.00036464856,0.000005766336],"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":[0.000004224187,0.000077691424,0.00828175,0.000036212565,0.000047870068,0.000011507958,0.00011072259,0.000022660244,0.000045664667,0.95755005,0.018700989,0.015110651],"study_design_scores_gemma":[0.00034903994,0.00009163942,0.0019806994,0.000054912136,0.000008506749,0.000010409354,0.0000038231697,0.8722336,0.0013869937,0.10084739,0.022719175,0.00031380425],"about_ca_topic_score_codex":0.00009347995,"about_ca_topic_score_gemma":0.000020980744,"teacher_disagreement_score":0.9442294,"about_ca_system_score_codex":0.000022546476,"about_ca_system_score_gemma":0.00005771598,"threshold_uncertainty_score":0.99993885},"labels":[],"label_agreement":null},{"id":"W4414342472","doi":"10.1111/cgf.70220","title":"DOBB‐BVH: Efficient Ray Traversal by Transforming Wide BVHs into Oriented Bounding Box Trees using Discrete Rotations","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Tree traversal; Bounding volume; Bounding overwatch; Minimum bounding box; Polytope; B-tree; Intersection (aeronautics); Set (abstract data type); Ray tracing (physics); Node (physics)","score_opus":0.009995558817535402,"score_gpt":0.2840039391462234,"score_spread":0.274008380328688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414342472","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":[0.0272167,0.00031950456,0.9683943,0.001030509,0.001497325,0.0006218564,0.00001443215,0.00080590235,0.00009951615],"genre_scores_gemma":[0.90434045,0.000081083854,0.0937545,0.0015574818,0.00007171127,0.00004865183,0.00006107701,0.000040181105,0.000044871667],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967447,0.00015529145,0.000801643,0.00096845644,0.0005569229,0.0007729982],"domain_scores_gemma":[0.99817795,0.0002578014,0.00022069585,0.00084938394,0.00028151125,0.00021264213],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005389668,0.00047582612,0.0004589862,0.0012926741,0.0011696015,0.0007884949,0.001399159,0.00019593023,0.0000032677501],"category_scores_gemma":[0.000021300486,0.00048675507,0.00037167352,0.0032235326,0.00021887291,0.000658017,0.0005600208,0.00038027746,0.0000020210286],"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":[0.000011044976,0.0001708442,0.0026788237,0.000058434533,0.00011266066,0.000008937369,0.0017307802,0.001141687,0.00060835044,0.983026,0.0028547496,0.007597634],"study_design_scores_gemma":[0.00071543513,0.00014914418,0.00046397588,0.00027157902,0.00003948449,0.0000069616885,0.00006032913,0.95849967,0.0037368212,0.01858333,0.01692657,0.0005467252],"about_ca_topic_score_codex":0.00016026215,"about_ca_topic_score_gemma":0.0000735446,"teacher_disagreement_score":0.96444273,"about_ca_system_score_codex":0.00013145339,"about_ca_system_score_gemma":0.0001837405,"threshold_uncertainty_score":0.9997584},"labels":[],"label_agreement":null},{"id":"W4414342645","doi":"10.1111/cgf.70219","title":"Spherical Harmonic Exponentials for Efficient Glossy Reflections","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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; McGill University; Canadian Institute for Advanced Research","funders":"","keywords":"Specular reflection; Exponential function; Spherical harmonics; Representation (politics); Harmonic; Exploit; Iterative reconstruction; Quality (philosophy)","score_opus":0.02930197088751309,"score_gpt":0.3340194811549498,"score_spread":0.3047175102674367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414342645","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":[0.0012381189,0.0003024496,0.9921833,0.0020693624,0.002178503,0.00068143103,0.00000732846,0.0010454559,0.00029403492],"genre_scores_gemma":[0.60637236,0.00014271785,0.3860253,0.0064574135,0.00027289707,0.00039266524,0.000033309232,0.00004404469,0.00025928463],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977505,0.00008766955,0.0005397359,0.00078066654,0.0002765716,0.00056482636],"domain_scores_gemma":[0.99820375,0.00021651002,0.00014399203,0.00094325125,0.00036527947,0.00012724224],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004189571,0.00028437108,0.00033036678,0.000627239,0.0005993725,0.00050461275,0.001392586,0.00016096325,0.0000036459874],"category_scores_gemma":[0.000019655,0.00028882592,0.0003861083,0.0021691306,0.00010569855,0.00020052245,0.0008036292,0.0001995455,0.000005052899],"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":[0.0000066829116,0.00018629536,0.0002105801,0.000030278432,0.0000558211,0.0000018078912,0.00007403085,0.00007058031,0.00012338675,0.97008914,0.01969617,0.009455214],"study_design_scores_gemma":[0.0005225636,0.00022074569,0.0005881966,0.00006941824,0.0000189391,0.000007477487,0.0000059323834,0.7580387,0.0038068043,0.1441484,0.09223546,0.0003373833],"about_ca_topic_score_codex":0.000014917318,"about_ca_topic_score_gemma":0.0000118103735,"teacher_disagreement_score":0.8259407,"about_ca_system_score_codex":0.000051823285,"about_ca_system_score_gemma":0.00013150398,"threshold_uncertainty_score":0.99995637},"labels":[],"label_agreement":null},{"id":"W4414864001","doi":"10.1111/cgf.70230","title":"High‐Performance Elliptical Cone Tracing","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Image and Object Detection Techniques","field":"Computer Science","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":"Tree traversal; Conic section; Frustum; Ray tracing (physics); Beam tracing; Cone (formal languages); Intersection (aeronautics); Distributed ray tracing","score_opus":0.006578449778132144,"score_gpt":0.22469396849497036,"score_spread":0.2181155187168382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414864001","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":[0.0151207615,0.00010365667,0.9800015,0.0012445633,0.001269508,0.00014832428,7.001851e-7,0.0008441562,0.0012668503],"genre_scores_gemma":[0.9298834,0.00007232529,0.06572794,0.0039645378,0.000091155285,0.000018968425,0.0000017284638,0.000008637753,0.00023128821],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998688,0.00003957712,0.00028305405,0.0004000832,0.00019158811,0.00039769517],"domain_scores_gemma":[0.99906456,0.00007706569,0.000054319014,0.00062086823,0.00011957222,0.0000636366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023636117,0.00017338459,0.00020521828,0.00041848875,0.00027471618,0.00022781716,0.0008260002,0.0001138596,0.0000037708528],"category_scores_gemma":[0.000007471359,0.00016740472,0.00010030624,0.0009891611,0.000087627974,0.00053244486,0.00038677407,0.00029755596,0.000028290413],"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":[0.000009312864,0.00008469789,0.0007919628,0.000056404722,0.000043213986,0.000019497007,0.00007169877,0.000046939727,0.00027233377,0.657532,0.011103372,0.32996857],"study_design_scores_gemma":[0.00085388235,0.0005045758,0.00804965,0.00022525401,0.000021591419,0.000060380527,0.000009718637,0.50754917,0.3693601,0.08585116,0.02682205,0.00069244456],"about_ca_topic_score_codex":0.000015003018,"about_ca_topic_score_gemma":0.0000038482667,"teacher_disagreement_score":0.9147627,"about_ca_system_score_codex":0.00003100534,"about_ca_system_score_gemma":0.000050403767,"threshold_uncertainty_score":0.68265665},"labels":[],"label_agreement":null},{"id":"W4415077111","doi":"10.1111/cgf.70257","title":"TopoGen: Topology‐Aware 3D Generation with Persistence Points","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"3D Shape Modeling and Analysis","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":"Artificial Intelligence in Medicine (Canada)","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; National Natural Science Foundation of China; Ministry of Education - Singapore","keywords":"Controllability; Embedding; Persistence (discontinuity); Topology (electrical circuits); Generative grammar; Point (geometry)","score_opus":0.014085639569600697,"score_gpt":0.20702244896241107,"score_spread":0.19293680939281038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415077111","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":[0.05758436,0.0004228124,0.93997955,0.0007316897,0.00038174822,0.000053030588,0.0000035469088,0.00021775874,0.0006254841],"genre_scores_gemma":[0.99264246,0.000056005956,0.0063945223,0.0006638423,0.00008599784,0.000006572778,0.000024513587,0.000011926955,0.000114138005],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993787,0.0000137709785,0.00013093073,0.00018668396,0.00008501942,0.00020490513],"domain_scores_gemma":[0.9996458,0.000014101982,0.000014108822,0.00022817425,0.000060801925,0.000036969417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000580994,0.00012369532,0.0001410036,0.00018352951,0.000125433,0.000043378528,0.0001408213,0.0000735024,0.000009021863],"category_scores_gemma":[0.000001491954,0.00011132749,0.000077242206,0.00033837883,0.000038916023,0.000063128915,0.000035739784,0.00012476434,0.000007051655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020287232,0.00010753074,0.033124015,0.00024407003,0.001243218,0.00005938155,0.00074377685,0.83365905,0.0004153444,0.040395558,0.046926282,0.04306149],"study_design_scores_gemma":[0.00014316213,0.000027310793,0.00021108589,0.0000302691,0.0000393864,0.000005429534,0.000031126485,0.99772,0.00021388229,0.00042418658,0.00102271,0.00013143642],"about_ca_topic_score_codex":0.0000065704544,"about_ca_topic_score_gemma":0.00005102271,"teacher_disagreement_score":0.9350581,"about_ca_system_score_codex":0.000020029705,"about_ca_system_score_gemma":0.00001599563,"threshold_uncertainty_score":0.45398036},"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":"W4415296274","doi":"10.1111/cgf.70226","title":"Hierarchical Differentiable Fluid Simulation","year":2025,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","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":"Canadian Institute for Advanced Research; McGill University; Mila - Quebec Artificial Intelligence Institute; Ubisoft (Canada)","funders":"","keywords":"Bottleneck; Differentiable function; Field (mathematics); Series (stratigraphy); Fluid simulation; Optimization problem","score_opus":0.014337637471784329,"score_gpt":0.29013327215285933,"score_spread":0.275795634681075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415296274","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":[0.002791872,0.00015725751,0.99324715,0.0010384053,0.0008755471,0.00027164904,0.0000021942428,0.0010182505,0.0005976803],"genre_scores_gemma":[0.96547145,0.000058263908,0.030566834,0.003570548,0.000090522924,0.000026763193,0.00001867995,0.000015675912,0.00018127014],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980539,0.00010344032,0.00043632713,0.0006380703,0.00031806543,0.00045020966],"domain_scores_gemma":[0.9984024,0.00021127265,0.00009215422,0.0009542763,0.00022574454,0.0001141327],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024880993,0.00025715647,0.00027205818,0.0009204494,0.0003554336,0.0005010013,0.0013747317,0.00015580033,0.000005621807],"category_scores_gemma":[0.000012936265,0.00025362274,0.0002099414,0.0019101866,0.00008823223,0.00044308754,0.0010609546,0.00025549746,0.000008686946],"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":[0.0000032874523,0.0001010011,0.002492061,0.000020947367,0.000033338853,0.0000028190937,0.00005217695,0.0003200962,0.000016651773,0.9735717,0.007287053,0.016098848],"study_design_scores_gemma":[0.0002339655,0.00007368173,0.0028321096,0.00004739324,0.0000058388737,0.000001736959,9.648102e-7,0.74915355,0.00036327247,0.217542,0.029548557,0.0001969565],"about_ca_topic_score_codex":0.00000994156,"about_ca_topic_score_gemma":0.000005147567,"teacher_disagreement_score":0.9626803,"about_ca_system_score_codex":0.000026413793,"about_ca_system_score_gemma":0.00007114487,"threshold_uncertainty_score":0.9999916},"labels":[],"label_agreement":null}]}