{"meta":{"query_hash":"02c0bbbf7e6f","filters":{"venue":"EasyChair preprint"},"cohort_total":35,"direct_labels_cover":1,"predictions_cover":35,"exported":35,"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/02c0bbbf7e6f","api":"https://metacan.xera.ac/api/v1/cohort?venue=EasyChair+preprint"},"results":[{"id":"W2791722668","doi":"10.29007/gpnx","title":"Extending IFC for Fire Emergency Real-Time Management Using Sensors and Occupant Information","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Evacuation and Crowd Dynamics","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":"Concordia University","funders":"","keywords":"Occupancy; Building information modeling; Emergency management; Plan (archaeology); Context (archaeology); Computer science; Facility management; Damages; Construction engineering; Architectural engineering; Operations research; Risk analysis (engineering); Engineering; Operations management; Scheduling (production processes); Business; Geography","score_opus":0.014518209385966511,"score_gpt":0.27388691120695063,"score_spread":0.25936870182098415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791722668","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08485623,0.00035276226,0.7534049,0.00004204161,0.0050066877,0.0025591736,0.00026159032,0.00056244974,0.15295418],"genre_scores_gemma":[0.7744865,0.020118248,0.070893824,0.00012373427,0.0021487575,0.00097651524,0.0028575053,0.0005371264,0.12785783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986283,0.000021618058,0.0005516845,0.00029158985,0.00019173669,0.00031504314],"domain_scores_gemma":[0.99920446,0.000015883623,0.00016069412,0.00042367034,0.00009559042,0.00009969313],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00026976777,0.00032722688,0.00028650957,0.0001782951,0.00013608755,0.00007618834,0.00016193582,0.0002278144,0.0012213988],"category_scores_gemma":[0.000013569783,0.00036111407,0.00010914426,0.00011079166,0.000024879757,0.00024904514,0.00013211761,0.00014638064,0.001840805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044186654,0.00002763166,0.0000397727,0.0025218974,0.0003587588,0.0000017547785,0.0016739303,0.9025901,0.00053098734,0.0007760873,0.07403445,0.017400471],"study_design_scores_gemma":[0.00029217568,0.000024141089,0.0004454498,0.00023784045,0.000027626638,0.0000072835383,0.00017469903,0.9407153,0.00012088811,0.00016300665,0.057311684,0.00047992074],"about_ca_topic_score_codex":0.000016644344,"about_ca_topic_score_gemma":0.0000026503224,"teacher_disagreement_score":0.6896302,"about_ca_system_score_codex":0.00017595854,"about_ca_system_score_gemma":0.000017612516,"threshold_uncertainty_score":0.99988407},"labels":[],"label_agreement":null},{"id":"W2794809286","doi":"10.29007/d6h2","title":"On the feasibility of decentralized derivatives markets","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Blockchain Technology Applications and Security","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":"Concordia University","funders":"","keywords":"Solidity; Implementation; Smart contract; Derivatives market; Code (set theory); Derivative (finance); Computer science; Work (physics); Computer security; Business; Finance; Software engineering; Programming language; Engineering; Futures contract","score_opus":0.0313148619063863,"score_gpt":0.2986386184676594,"score_spread":0.26732375656127305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794809286","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024943545,0.00037765526,0.9059872,0.004835191,0.0008069765,0.0015719158,0.00003346058,0.00018866868,0.061255384],"genre_scores_gemma":[0.9908261,0.00015485127,0.005521376,0.00028819882,0.0000445893,0.00024154948,0.000007240127,0.0000147200735,0.002901402],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99775213,0.00030272064,0.00044294892,0.0009011444,0.00029429645,0.00030674296],"domain_scores_gemma":[0.99546623,0.00036641146,0.00042642312,0.0034726136,0.00020425185,0.00006405508],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00094009785,0.000285522,0.0003841584,0.000099686804,0.00018238832,0.000045667475,0.0029502779,0.00037221875,0.0017898171],"category_scores_gemma":[0.00022060501,0.00020075699,0.00018329667,0.00037883758,0.00051067624,0.000045049743,0.0010470515,0.0005292395,0.0016301211],"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":[0.00007447661,0.0007258653,0.00018224803,0.00009815744,0.00015837932,0.0000012829654,0.0013472805,0.00021164358,0.0003176355,0.8145976,0.17498323,0.0073021916],"study_design_scores_gemma":[0.0014645618,0.00060702546,0.019730479,0.00068235287,0.000015700432,0.000024926401,0.00014739596,0.019849533,0.064005405,0.63939303,0.25245094,0.001628618],"about_ca_topic_score_codex":0.000019381318,"about_ca_topic_score_gemma":0.0000071546947,"teacher_disagreement_score":0.96588254,"about_ca_system_score_codex":0.00007091166,"about_ca_system_score_gemma":0.00014775628,"threshold_uncertainty_score":0.99914724},"labels":[],"label_agreement":null},{"id":"W2794902319","doi":"10.29007/ptck","title":"Topology Vulnerability Analysis of several Urban Metro Networks","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","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":"Public Safety Canada","funders":"","keywords":"Betweenness centrality; Clustering coefficient; Vulnerability (computing); Node (physics); Computer science; Metropolitan area; Complex network; Average path length; Transport engineering; Computer security; Computer network; Geography; Cluster analysis; Shortest path problem; Engineering; Mathematics; Centrality; Statistics; Graph; Artificial intelligence","score_opus":0.014456861388273167,"score_gpt":0.30465435453395573,"score_spread":0.29019749314568255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794902319","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010226712,0.00025123035,0.8896276,0.00006577276,0.00072423264,0.00051525125,0.00017591266,0.00008450567,0.09832883],"genre_scores_gemma":[0.98154426,0.00001148793,0.0017950867,0.00004166936,0.0021292886,0.00013918389,0.001052818,0.00003920659,0.013246978],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99624985,0.00051739236,0.001108756,0.0012208008,0.0003297983,0.0005733924],"domain_scores_gemma":[0.99603134,0.00018574804,0.0009467676,0.0023076504,0.00036668405,0.00016179151],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00073999277,0.0005690147,0.0019092835,0.00062572066,0.00013243208,0.000048065853,0.00093779975,0.0003277113,0.047328703],"category_scores_gemma":[0.000010444019,0.0005647032,0.0016462022,0.0014986281,0.00034622804,0.000058273217,0.00074766186,0.000738612,0.00041103986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008024872,0.0005394261,0.0844917,0.000037110833,0.0153773315,8.272865e-7,0.00031775972,0.61000127,0.000009101752,0.0028801442,0.28118107,0.005084008],"study_design_scores_gemma":[0.00075663807,0.00036604513,0.04429667,0.00016367945,0.004547824,7.349301e-7,0.00021992017,0.7111635,0.0008493325,0.008217323,0.22686283,0.0025554576],"about_ca_topic_score_codex":0.0023282121,"about_ca_topic_score_gemma":0.000180517,"teacher_disagreement_score":0.9713176,"about_ca_system_score_codex":0.00012819153,"about_ca_system_score_gemma":0.00011660029,"threshold_uncertainty_score":0.99968046},"labels":[],"label_agreement":null},{"id":"W2795218431","doi":"10.29007/q5bh","title":"an Experimental Evaluation on Air Conditioning Performance with Vairtex Air Director Applied on Residential Condenser Unit","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Adsorption and Cooling 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":"Carleton University","funders":"Ontario Centres of Excellence","keywords":"Condenser (optics); Air conditioning; Gas compressor; Coefficient of performance; Power consumption; Flow (mathematics); Engineering; Mechanical engineering; Environmental science; Power (physics); Mechanics; Thermodynamics; Refrigerant; Physics; Optics","score_opus":0.021255699594888853,"score_gpt":0.28014168148663376,"score_spread":0.2588859818917449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795218431","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":[0.79847044,0.00010757276,0.010657637,0.000019447274,0.0037793242,0.001834377,0.00006536839,0.00069399946,0.18437181],"genre_scores_gemma":[0.98763937,0.000010044064,0.00007360209,0.00012679875,0.0012294262,0.0007748788,0.00064432126,0.00015394516,0.009347611],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99740624,0.00014568197,0.00045361713,0.00077195035,0.0008449912,0.000377487],"domain_scores_gemma":[0.99849695,0.000031642656,0.00020220838,0.0009311755,0.0001689667,0.00016907767],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004217948,0.00054855144,0.00043534327,0.00024816877,0.00021965375,0.000078528115,0.00032403957,0.00034497495,0.00530262],"category_scores_gemma":[0.0000061945075,0.00053197093,0.000086733016,0.00014492823,0.00009274722,0.00013283367,0.0000386605,0.0005362609,0.013751929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003671674,0.0001382006,0.000029963629,0.00012638104,0.00013414206,0.0000023888963,0.0010984966,0.9756323,0.005767823,0.0001860689,0.016156007,0.00036104448],"study_design_scores_gemma":[0.0076009803,0.003364243,0.017608099,0.004184911,0.00011307871,0.00007867627,0.0021220322,0.45592496,0.43768126,0.000056139655,0.066780776,0.0044848644],"about_ca_topic_score_codex":0.000026665915,"about_ca_topic_score_gemma":0.000020243802,"teacher_disagreement_score":0.5197074,"about_ca_system_score_codex":0.00039402634,"about_ca_system_score_gemma":0.000117934855,"threshold_uncertainty_score":0.9997132},"labels":[],"label_agreement":null},{"id":"W2796082891","doi":"10.29007/mcs1","title":"User Study of Emotional Visualization Dashboard for Educational Software","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Multimedia Communication and Technology","field":"Social Sciences","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; Industry Canada","keywords":"Dashboard; Visualization; Computer science; Learning analytics; Human–computer interaction; Eye tracking; Data visualization; Software; World Wide Web; Multimedia; Data science; Artificial intelligence","score_opus":0.05133651636026367,"score_gpt":0.41433336087278566,"score_spread":0.362996844512522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796082891","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05017121,0.00058401254,0.678511,0.0121460045,0.017407648,0.016757224,0.0005376755,0.00071273744,0.22317244],"genre_scores_gemma":[0.86720973,0.00014303383,0.0071799923,0.00013530927,0.0011393029,0.0010417189,0.00063415465,0.000045548764,0.1224712],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99812067,0.00032973237,0.0004643355,0.0004377275,0.00043285973,0.00021469209],"domain_scores_gemma":[0.99751663,0.0003434962,0.00047526063,0.0007782589,0.0008076943,0.00007866999],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00067567755,0.00016834072,0.00029382642,0.00022125249,0.0003870695,0.000032436998,0.00088831026,0.0003862405,0.010186498],"category_scores_gemma":[0.00093899114,0.0001853236,0.000109643195,0.00022808956,0.0003420702,0.00007201189,0.0002469107,0.00018104834,0.0012745],"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":[0.0001384982,0.007135859,0.012820298,0.00027812386,0.0005028535,1.6182372e-7,0.06625363,0.0021841072,0.000044623033,0.1299033,0.77006286,0.0106757],"study_design_scores_gemma":[0.00088346814,0.00022552467,0.0073826895,0.00012338956,0.000016034472,4.1941666e-7,0.0040328884,0.00025145177,0.00006350307,0.0036810571,0.9829959,0.00034363844],"about_ca_topic_score_codex":0.00059131085,"about_ca_topic_score_gemma":0.0015451433,"teacher_disagreement_score":0.81703854,"about_ca_system_score_codex":0.0001468348,"about_ca_system_score_gemma":0.00076835527,"threshold_uncertainty_score":0.99950314},"labels":[],"label_agreement":null},{"id":"W2796281680","doi":"10.29007/2rjw","title":"Investigation of Latent Heat Thermal Energy Storage System for AirConditioning Applications","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Phase Change Materials Research","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 Guelph","funders":"","keywords":"Plate fin heat exchanger; Heat exchanger; Shell and tube heat exchanger; Heat spreader; Materials science; Plate heat exchanger; Thermal energy storage; Thermodynamics; Heat pipe; Phase-change material; Heat transfer; Micro heat exchanger; Thermal; Mechanics; Physics","score_opus":0.04076946106288917,"score_gpt":0.2764802323123493,"score_spread":0.23571077124946013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796281680","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02388152,0.00084813486,0.9547706,0.00003595273,0.00222613,0.0020164296,0.001123879,0.00038024932,0.014717051],"genre_scores_gemma":[0.99067533,0.000053069314,0.0006922361,0.000009829629,0.0011906835,0.003923056,0.0011491564,0.00011318135,0.00219348],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984787,0.00007714281,0.0004793019,0.000397318,0.0002492975,0.00031823813],"domain_scores_gemma":[0.99883187,0.00005817083,0.0001109067,0.000655491,0.00021794064,0.00012565158],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032349702,0.0002742726,0.00040458332,0.00021888659,0.00009132564,0.000051496994,0.00034975796,0.00028311004,0.0005674553],"category_scores_gemma":[0.000008897038,0.00029596503,0.0001255069,0.00013516028,0.00009254319,0.00007783855,0.000120227625,0.00014208282,0.00071822864],"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":[0.00003735261,0.000027655295,0.0000099225945,0.005332813,0.00027700377,0.0000012332861,0.0007046641,0.46132126,0.5067935,0.0011332923,0.023643427,0.0007178601],"study_design_scores_gemma":[0.00066230935,0.00009657853,0.00013227061,0.0011195391,0.000021253687,0.000009303637,0.0000801049,0.06810743,0.8904331,0.00021277151,0.03850971,0.00061562826],"about_ca_topic_score_codex":0.00008566348,"about_ca_topic_score_gemma":0.0000110992,"teacher_disagreement_score":0.9667938,"about_ca_system_score_codex":0.0003490796,"about_ca_system_score_gemma":0.00008517551,"threshold_uncertainty_score":0.9999493},"labels":[],"label_agreement":null},{"id":"W2796376950","doi":"10.29007/v642","title":"3D Dynamical Model for Liquid Sloshing Simulation in a Partially Filled Elliptical Tank","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Slosh dynamics; Discretization; Displacement (psychology); Stiffness; Mechanics; Motion (physics); Process (computing); Structural engineering; Physics; Classical mechanics; Engineering; Computer science; Mathematics; Mathematical analysis","score_opus":0.021315765748939234,"score_gpt":0.2927163418682244,"score_spread":0.27140057611928514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796376950","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010639298,0.00008159982,0.96876657,0.00006533908,0.0018658922,0.0011264936,0.00018974164,0.00020658664,0.017058462],"genre_scores_gemma":[0.9763073,0.000059813014,0.012543536,0.0000369341,0.0005259261,0.00041551248,0.00045123778,0.00013535075,0.009524408],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978719,0.000042103693,0.0008032405,0.0005932656,0.00021234652,0.0004771726],"domain_scores_gemma":[0.99873215,0.0002541755,0.000087810135,0.00062125176,0.00017578977,0.00012881854],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00020329475,0.00040758043,0.00047782125,0.0002944379,0.00009773555,0.00009840476,0.00027599535,0.00054964056,0.0009513943],"category_scores_gemma":[0.00014306852,0.00045867797,0.00023836578,0.00015901115,0.00004878777,0.0002028615,0.000111116744,0.00059110165,0.0014274807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015383796,0.000092236674,0.0000035225653,0.0001269156,0.000065253866,8.8126467e-7,0.00039696606,0.9948777,0.00037964393,0.00067905587,0.0028864052,0.00033759593],"study_design_scores_gemma":[0.00047814762,0.00008173225,0.000026385404,0.00022444886,0.000011570115,0.000001562882,0.000010329989,0.98984313,0.000028657552,0.00033042874,0.008504314,0.0004592795],"about_ca_topic_score_codex":0.000017596914,"about_ca_topic_score_gemma":0.0002290656,"teacher_disagreement_score":0.96566796,"about_ca_system_score_codex":0.0004937187,"about_ca_system_score_gemma":0.000098044984,"threshold_uncertainty_score":0.99996185},"labels":[],"label_agreement":null},{"id":"W2796431678","doi":"10.29007/nvd7","title":"A Longitudinal Pilot Study of Presence in Immersive VR","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Virtual Reality Applications and Impacts","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":"Carleton University","funders":"","keywords":"Fidelity; Affect (linguistics); Longitudinal study; Significant difference; High fidelity; Human–computer interaction; Virtual reality; Computer science; Psychology; Medicine; Engineering; Communication","score_opus":0.07012509673555203,"score_gpt":0.3361562234784695,"score_spread":0.2660311267429175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796431678","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.089086995,0.00022341225,0.8442929,0.00028393383,0.0013028581,0.0029102354,0.000032632437,0.00004527652,0.061821774],"genre_scores_gemma":[0.9935611,0.00005350974,0.00086431927,0.000033843073,0.00010817929,0.00022574852,0.000008037098,0.00001539596,0.0051298803],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99728096,0.00019171933,0.0006042698,0.0010454225,0.00050224696,0.00037540463],"domain_scores_gemma":[0.9968727,0.00012376241,0.00042319007,0.0022056077,0.00022746768,0.00014725573],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005618878,0.0002931647,0.00049050705,0.00028111314,0.00006910439,0.000090418784,0.0021874777,0.00009949647,0.00022849264],"category_scores_gemma":[0.00009670795,0.00028308007,0.00006661609,0.00065792,0.00011105468,0.00024447113,0.0014490333,0.00037863562,0.0022386082],"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":[0.0016306026,0.08970067,0.015581143,0.0021981166,0.0018420467,0.00019021977,0.20851375,0.22500074,0.008390139,0.054252423,0.2984305,0.09426965],"study_design_scores_gemma":[0.01401892,0.07856538,0.6522684,0.006301409,0.00008576968,0.0001814046,0.0111146085,0.08780596,0.014924606,0.015425546,0.11128346,0.008024504],"about_ca_topic_score_codex":0.0025877992,"about_ca_topic_score_gemma":0.0005269365,"teacher_disagreement_score":0.9044741,"about_ca_system_score_codex":0.00011744055,"about_ca_system_score_gemma":0.00027213088,"threshold_uncertainty_score":0.99996215},"labels":[],"label_agreement":null},{"id":"W2801626634","doi":"10.29007/sxfq","title":"Women in the Shadow of Big Men: The Case of Canada Excellence Research Chairs","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":10,"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":"Excellence; Government (linguistics); Citation; Political science; Shadow (psychology); Library science; Diversity (politics); Inclusion (mineral); Citation impact; Public relations; Sociology; Psychology; Social science; Law","score_opus":0.5901366365887122,"score_gpt":0.5595273375253721,"score_spread":0.03060929906334009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801626634","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25561187,0.0036435432,0.0016423851,0.0063299243,0.0034943025,0.0030063451,0.00046016122,0.0000075256985,0.7258039],"genre_scores_gemma":[0.9399543,0.00053763133,0.000029132483,0.00006267909,0.00023359332,0.00018782442,0.0000026489124,0.000017691487,0.058974497],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9755986,0.0034265248,0.0018465059,0.0015275199,0.015864896,0.0017359587],"domain_scores_gemma":[0.9752269,0.013859835,0.00080138433,0.0041637938,0.0055544423,0.00039365128],"candidate_categories":["metaresearch","bibliometrics","open_science","insufficient_payload"],"consensus_categories":["metaresearch","bibliometrics"],"category_scores_codex":[0.13519987,0.00029720372,0.0007664537,0.025148017,0.00044580735,0.0006273312,0.010503083,0.00027883222,0.004577124],"category_scores_gemma":[0.031273868,0.00014770911,0.00019172307,0.12341243,0.0013230707,0.00010649211,0.003404708,0.0014953468,0.00065844296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001226066,0.00040423122,0.0016155579,0.00012288676,0.000062285806,0.00046216827,0.0113003235,0.0028754235,0.000104695035,0.0009193689,0.92844945,0.05356098],"study_design_scores_gemma":[0.0018287539,0.0017263639,0.033359233,0.0005317971,0.0000068073005,0.0007566627,0.1658802,0.01618738,0.0033344708,0.041316688,0.73367274,0.0013988917],"about_ca_topic_score_codex":0.5456885,"about_ca_topic_score_gemma":0.27580917,"teacher_disagreement_score":0.68434244,"about_ca_system_score_codex":0.00068798586,"about_ca_system_score_gemma":0.005203146,"threshold_uncertainty_score":0.9963328},"labels":[],"label_agreement":null},{"id":"W2803486575","doi":"10.29007/xhlz","title":"Significance of Bottom-up Attributes in Video Saliency Detection Without Cognitive Bias","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Visual Attention and Saliency Detection","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":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Optimal distinctiveness theory; Salient; Computer science; Artificial intelligence; Human visual system model; Perception; Cognition; Computer vision; Visual search; Eye tracking; Ranking (information retrieval); Pattern recognition (psychology); Cognitive psychology; Psychology; Image (mathematics)","score_opus":0.04829990113790905,"score_gpt":0.31694963952033783,"score_spread":0.2686497383824288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803486575","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05261022,0.00021039193,0.9317621,0.0001123176,0.00564123,0.0011589483,0.000034850313,0.00017182122,0.008298153],"genre_scores_gemma":[0.9863773,0.000107648666,0.0007265151,0.00008278664,0.0002445642,0.00026623622,0.000022228398,0.000032478958,0.012140272],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99601465,0.0005133272,0.0009693793,0.0013716655,0.0006482165,0.00048276526],"domain_scores_gemma":[0.9974426,0.00014837817,0.00082538376,0.0009017306,0.00054295856,0.00013891893],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011201742,0.00044528834,0.0006475209,0.0005643511,0.00013142642,0.00012280673,0.0009728389,0.00042866266,0.00042027936],"category_scores_gemma":[0.0003127467,0.0004502141,0.00025751247,0.0010388121,0.00020833356,0.00041683164,0.0004631105,0.0006760468,0.0036319261],"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":[0.0024058304,0.0068717226,0.03437773,0.0045959926,0.0012910549,0.000087648,0.03500776,0.027803682,0.13601992,0.0060886694,0.034159184,0.71129084],"study_design_scores_gemma":[0.006368995,0.0040195575,0.110299416,0.0056873322,0.000061495244,0.00014274857,0.0012038561,0.12599197,0.7063523,0.0063961563,0.028875222,0.004600973],"about_ca_topic_score_codex":0.00051153265,"about_ca_topic_score_gemma":0.00032951054,"teacher_disagreement_score":0.9337671,"about_ca_system_score_codex":0.00019557562,"about_ca_system_score_gemma":0.00025500546,"threshold_uncertainty_score":0.99979496},"labels":[],"label_agreement":null},{"id":"W2807780685","doi":"10.29007/2xvc","title":"Design Thinking as an approach to develop sustainable physical activity and nutrition interventions in low re-sourced settings","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Innovative Approaches in Technology and Social Development","field":"Business, Management and Accounting","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, Okanagan Campus; University of British Columbia","funders":"","keywords":"Psychological intervention; Physical activity; Process (computing); Poverty; Citizen journalism; Fuel poverty; Sustainability; Psychology; Sustainable living; Gerontology; Environmental health; Applied psychology; Computer science; Medicine; Economic growth; Alternative medicine; Physical therapy; Economics","score_opus":0.03822292730408829,"score_gpt":0.29251320107438045,"score_spread":0.2542902737702922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807780685","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2859524,0.000037384587,0.5971938,0.001207022,0.0005026744,0.003908119,0.0000032588218,0.0003181151,0.11087725],"genre_scores_gemma":[0.9769823,0.000007369755,0.011142965,0.0005987436,0.00081150426,0.0012137155,0.0001364153,0.00006690048,0.009040089],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9975563,0.00012226675,0.00039675823,0.001045265,0.00029736003,0.00058199506],"domain_scores_gemma":[0.9984964,0.000040931765,0.00040713034,0.0004415737,0.0005887251,0.000025206533],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021100885,0.00043308066,0.00054085156,0.00070948905,0.0005371301,0.00035193228,0.00059572945,0.0005105653,0.00010653844],"category_scores_gemma":[0.00040123783,0.0004676793,0.000083982144,0.0014504908,0.00019893225,0.00070520944,0.0015119179,0.00083047815,0.0007505535],"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":[0.0026010827,0.021281483,0.0011939307,0.033374134,0.0010836453,0.00011506762,0.07536691,0.008787204,0.00081507524,0.673381,0.12909213,0.05290837],"study_design_scores_gemma":[0.00884372,0.00082405144,0.040885035,0.01714872,0.00020850221,0.00003977991,0.08984788,0.05100431,0.011303741,0.58445257,0.184279,0.011162674],"about_ca_topic_score_codex":0.00028186967,"about_ca_topic_score_gemma":0.000013540849,"teacher_disagreement_score":0.6910299,"about_ca_system_score_codex":0.00031340172,"about_ca_system_score_gemma":0.00013420203,"threshold_uncertainty_score":0.9997775},"labels":[],"label_agreement":null},{"id":"W2809237945","doi":"10.29007/wsww","title":"Numerical Simulation of Fluid Flow and Heat Transfer of the Supercritical Water in Different Fuel Rod Channels","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Heat transfer and supercritical fluids","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":true,"ca_institutions":"Western University","funders":"","keywords":"Supercritical fluid; Heat transfer; Cladding (metalworking); Materials science; Mechanics; Fluid dynamics; Rod; Critical heat flux; Supercritical flow; Water flow; Thermodynamics; Heat flux; Composite material; Engineering; Physics; Geotechnical engineering","score_opus":0.013988762453675453,"score_gpt":0.24139749229169355,"score_spread":0.2274087298380181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809237945","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":[0.697108,0.00047242764,0.296668,0.0002819142,0.0013580854,0.00068037567,0.00009925818,0.000042008716,0.0032899973],"genre_scores_gemma":[0.99937475,0.0001437633,0.000022216134,0.000034380475,0.00022745664,0.000052382176,0.000030967425,0.00006178735,0.00005231556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99791294,0.00015161156,0.00072880514,0.00042261934,0.00033421276,0.0004498161],"domain_scores_gemma":[0.99912566,0.00012842365,2.6779892e-7,0.0005129661,0.00008537312,0.00014732144],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019588375,0.00039314636,0.00077596365,0.000110575165,0.000027976017,0.000018514575,0.00026049966,0.00043272763,0.0013352364],"category_scores_gemma":[0.000027411608,0.00024876065,0.00023892678,0.00009889904,0.0002173502,0.000068389236,0.00006450214,0.0004755869,0.00010624229],"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":[0.00013036908,0.00041567913,0.00047993116,0.0039106235,0.00014872073,0.0000033313581,0.0071931994,0.7962693,0.19032681,0.00042894,0.000377853,0.0003152695],"study_design_scores_gemma":[0.0010285247,0.00019104834,0.0034173161,0.000845041,0.00003140691,0.000008159396,0.00006508341,0.41062084,0.5819637,0.00035106044,0.00089487934,0.0005829339],"about_ca_topic_score_codex":0.00005922864,"about_ca_topic_score_gemma":0.000010831402,"teacher_disagreement_score":0.3916369,"about_ca_system_score_codex":0.00006072989,"about_ca_system_score_gemma":0.0000206407,"threshold_uncertainty_score":0.9999965},"labels":[],"label_agreement":null},{"id":"W2809631190","doi":"10.29007/ctcq","title":"Local Patterns of National Household Survey Non-Response in Canadian Cities","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Census; Geography; Unit (ring theory); American Community Survey; Government (linguistics); Ethnic group; Data collection; Survey data collection; Official statistics; Regional science; Demography; Political science; Statistics; Sociology; Population; Psychology; Social science","score_opus":0.09630344986969533,"score_gpt":0.3442019663072359,"score_spread":0.24789851643754054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809631190","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":[0.8392918,0.000048344697,0.1321221,0.00023978401,0.0018830936,0.0011522288,0.004621526,0.00004191975,0.020599212],"genre_scores_gemma":[0.9875871,0.000008972725,0.00035091053,0.000058403908,0.0001265871,0.00004747474,0.0005437533,0.000048130263,0.011228695],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99782693,0.0003577825,0.00068537844,0.00036295922,0.0004459016,0.0003210524],"domain_scores_gemma":[0.9982357,0.00047077733,0.00035600318,0.00044350224,0.0003371391,0.00015689389],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002330815,0.00025221484,0.00041678685,0.00050510274,0.000052543855,0.00002427038,0.00025836745,0.00034169096,0.0023135191],"category_scores_gemma":[0.0005719735,0.00027079575,0.00009673193,0.00015383489,0.0000716134,0.00005639096,0.000079647216,0.00026811706,0.0005625749],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016845708,0.00061695057,0.3956545,0.0018313666,0.00026967903,0.000019692756,0.009026226,0.2590496,0.000047402922,0.0074546146,0.32319337,0.0011520081],"study_design_scores_gemma":[0.00045173705,0.00006330844,0.9800279,0.00053591724,0.0000032259093,0.0000059059385,0.000060469727,0.0076624337,0.00013561721,0.0029060785,0.0077487505,0.00039866366],"about_ca_topic_score_codex":0.33295247,"about_ca_topic_score_gemma":0.57619876,"teacher_disagreement_score":0.5843734,"about_ca_system_score_codex":0.0005934005,"about_ca_system_score_gemma":0.0011616662,"threshold_uncertainty_score":0.9999744},"labels":[],"label_agreement":null},{"id":"W2809665189","doi":"10.29007/wvc2","title":"Geomatics and Open Textbooks","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Mathematics, Computing, and Information Processing","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":"University of Saskatchewan","funders":"","keywords":"Geomatics; Geography; Data science; Engineering; Cartography; Library science; Archaeology; Computer science","score_opus":0.030116339268218856,"score_gpt":0.2986752088152913,"score_spread":0.2685588695470724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809665189","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":[0.00007522251,0.00013156339,0.6220651,0.00017427561,0.0009892046,0.0004240057,0.0000028543382,0.00008758627,0.37605017],"genre_scores_gemma":[0.11055876,0.00021562594,0.56148523,0.0027584864,0.0011340617,0.00017231183,0.000041525283,0.000096839496,0.32353714],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978961,0.00006216361,0.0007313237,0.00062745786,0.0003389732,0.00034399692],"domain_scores_gemma":[0.9974194,0.00007081129,0.0007336696,0.0013828328,0.00022789877,0.00016538189],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009074034,0.00033680355,0.00048409417,0.00015292568,0.00034489974,0.0019406258,0.0031210838,0.00021950675,0.0007912505],"category_scores_gemma":[0.00008669313,0.0003099184,0.00006787106,0.00013075156,0.00010786795,0.00079076923,0.0050722156,0.00030934208,0.007796541],"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":[0.000008819371,0.00020458904,0.00002836103,0.0028104496,0.00017228552,0.000005447786,0.03778741,0.0027552173,0.000017917448,0.10327595,0.6665589,0.18637465],"study_design_scores_gemma":[0.00052831095,0.0000988608,0.00008915986,0.0012747825,0.0000057266757,0.000095953874,0.00016049386,0.41910195,0.0005980675,0.04637641,0.5306782,0.0009920684],"about_ca_topic_score_codex":0.00002188899,"about_ca_topic_score_gemma":0.0000026465661,"teacher_disagreement_score":0.41634673,"about_ca_system_score_codex":0.00005012394,"about_ca_system_score_gemma":0.0002687781,"threshold_uncertainty_score":0.99993527},"labels":[],"label_agreement":null},{"id":"W2810372257","doi":"10.29007/464w","title":"Task Interruption in Software Development Projects: What Makes some Interruptions More Disruptive than Others?","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Human multitasking; Task switching; Software development; Computer science; Task (project management); Context (archaeology); Software; Context switch; Team software process; Task analysis; Human–computer interaction; Software engineering; Process management; Software construction; Psychology; Engineering; Cognitive psychology; Embedded system; Operating system; Systems engineering","score_opus":0.2565440357190569,"score_gpt":0.44883945150601207,"score_spread":0.1922954157869552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810372257","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":[0.5693893,0.002058125,0.35571176,0.005033335,0.021984126,0.00960608,0.00046626315,0.0007272688,0.035023768],"genre_scores_gemma":[0.7396126,0.0004173053,0.004428954,0.0012776224,0.00078316225,0.0015824003,0.00070607476,0.00011576423,0.25107616],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9938353,0.0002971807,0.0018881845,0.0014544468,0.0018644903,0.0006604457],"domain_scores_gemma":[0.9966758,0.00019435084,0.0010364264,0.0013929782,0.0004974293,0.00020303742],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002444584,0.0006881722,0.00076786196,0.001683209,0.0002623947,0.0017228446,0.0020153197,0.00043259287,0.0062780674],"category_scores_gemma":[0.0004048148,0.00056612346,0.00035498358,0.00075943395,0.00031037987,0.003383623,0.0013527651,0.0006996483,0.04210769],"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":[0.00076192606,0.0015382379,0.014818328,0.0003960162,0.000489661,0.000051916937,0.34176525,0.008756208,0.00011457027,0.0007658391,0.2433887,0.38715333],"study_design_scores_gemma":[0.001695725,0.00028283853,0.089540794,0.004012193,0.00003150016,0.000022094127,0.120958775,0.0024994782,0.00041169484,0.0018479764,0.77625924,0.002437683],"about_ca_topic_score_codex":0.00009407215,"about_ca_topic_score_gemma":0.000544483,"teacher_disagreement_score":0.53287053,"about_ca_system_score_codex":0.00068595377,"about_ca_system_score_gemma":0.00034201777,"threshold_uncertainty_score":0.999679},"labels":[],"label_agreement":null},{"id":"W2885174564","doi":"10.29007/qd4q","title":"Fine-Grained Test Minimization","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Software System Performance and Reliability","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":"Test suite; Test (biology); Computer science; Code coverage; Test case; Minification; Test Management Approach; Test harness; Test script; Algorithm; Test method; Reliability engineering; Programming language; Software; Mathematics; Machine learning; Statistics; Engineering; Software system","score_opus":0.012758360017574076,"score_gpt":0.25669821487091093,"score_spread":0.24393985485333686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885174564","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004813946,0.0002730992,0.9131013,0.00077866926,0.008074163,0.00085326034,0.000025497851,0.0004411509,0.07597146],"genre_scores_gemma":[0.7326228,0.00014199626,0.027261412,0.00042836898,0.00324545,0.00043500517,0.00019527647,0.00008760264,0.23558208],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971804,0.00011314134,0.0006160779,0.0011987917,0.00046037263,0.00043118827],"domain_scores_gemma":[0.99649173,0.00016692262,0.00037901706,0.002447472,0.0003610545,0.00015377422],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00055535766,0.00040300644,0.00046030935,0.00017031307,0.00018521713,0.00020188195,0.0017776939,0.0004555835,0.001286966],"category_scores_gemma":[0.0002887505,0.00034422538,0.00021374255,0.00042976605,0.00010942592,0.0002766818,0.0008528849,0.00034093388,0.038014777],"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":[0.000015871983,0.00035261255,0.0024133807,0.00057654915,0.000074176496,0.0000066696603,0.0018321457,0.009276932,0.000065511565,0.00042872995,0.96596104,0.018996393],"study_design_scores_gemma":[0.0008173455,0.00041270925,0.0070314202,0.00075915374,0.000007671349,0.00005201482,0.00001968012,0.054047376,0.002102686,0.0010413339,0.93235207,0.0013565713],"about_ca_topic_score_codex":0.000049051858,"about_ca_topic_score_gemma":0.000017030592,"teacher_disagreement_score":0.8858399,"about_ca_system_score_codex":0.00014159993,"about_ca_system_score_gemma":0.00035124103,"threshold_uncertainty_score":0.999901},"labels":[],"label_agreement":null},{"id":"W2886470930","doi":"10.29007/2km4","title":"Investigation and feasibility study of ground source heat pump for office buildings in China","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Geothermal Energy Systems and Applications","field":"Energy","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":"Canada Excellence Research Chairs, Government of Canada","keywords":"Heat pump; Adaptability; China; Civil engineering; Field survey; Environmental science; Architectural engineering; Engineering; Mechanical engineering; Geography","score_opus":0.0344477420585913,"score_gpt":0.2845381286866754,"score_spread":0.2500903866280841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886470930","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":[0.9826405,0.00011614976,0.0068854825,0.000097088756,0.00030165882,0.0023032718,0.000027050248,0.00004171407,0.0075870785],"genre_scores_gemma":[0.9851729,0.000010430133,0.00019710856,0.000028954892,0.00025774643,0.00084808754,0.00006558898,0.000054800585,0.013364355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99779147,0.00016630975,0.0007084876,0.0008744842,0.00020505619,0.00025418578],"domain_scores_gemma":[0.9984525,0.00009504066,0.00031650977,0.0008699773,0.00015980811,0.00010619609],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006459989,0.00031414907,0.0005535916,0.00013985712,0.00010803759,0.00004300779,0.00029984157,0.0002733737,0.00019912828],"category_scores_gemma":[0.00009335885,0.0003085732,0.00008079942,0.00023946933,0.00012865326,0.000071348855,0.00019257548,0.00021052595,0.00010422218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003507064,0.0015353246,0.010893585,0.0011386116,0.00023981863,5.9486e-7,0.015763987,0.95430154,0.0058105066,0.0058155516,0.0018260615,0.002323687],"study_design_scores_gemma":[0.009681924,0.0023329195,0.67450076,0.0015598563,0.00010035574,0.000025612879,0.0055655777,0.04060789,0.006494639,0.005955599,0.2505395,0.0026353244],"about_ca_topic_score_codex":0.07401278,"about_ca_topic_score_gemma":0.0061791386,"teacher_disagreement_score":0.91369367,"about_ca_system_score_codex":0.00010953828,"about_ca_system_score_gemma":0.0000756538,"threshold_uncertainty_score":0.99993664},"labels":[],"label_agreement":null},{"id":"W2889141184","doi":"10.29007/qp7s","title":"Object-Core Oriented Data Modelling for Tracking of Behaviors of Urban Heat Islands","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Urban Heat Island Mitigation","field":"Environmental 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 Laval; 3v Geomatics (Canada)","funders":"","keywords":"Thematic map; Urban heat island; Tracking (education); Object (grammar); Period (music); Computer science; Geography; Cartography; Climatology; Meteorology; Artificial intelligence; Geology; Physics; Sociology","score_opus":0.06113579665615283,"score_gpt":0.29923797477342906,"score_spread":0.23810217811727624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889141184","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24797845,0.000260921,0.72117144,0.000024029543,0.0017317225,0.0023310843,0.0020314131,0.000049514736,0.024421412],"genre_scores_gemma":[0.9840027,0.00004951777,0.005378313,0.000013757149,0.00022909875,0.00008688689,0.0015718668,0.00005917546,0.008608667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974305,0.000049318438,0.00074606773,0.0009726032,0.000454889,0.0003466368],"domain_scores_gemma":[0.997641,0.00006275178,0.000365549,0.001770169,0.00006486856,0.00009562971],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00056165596,0.00031707285,0.00052602415,0.00008834279,0.00008146625,0.000013903963,0.0009140665,0.00031062236,0.0022998047],"category_scores_gemma":[0.000043807926,0.00030846338,0.00015779873,0.00018713584,0.00021456074,0.00020143359,0.00069642445,0.00022809576,0.00042453068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005986931,0.0012359152,0.06676472,0.0011362875,0.00027219002,0.0000033041936,0.015007518,0.5293009,0.03799482,0.00010326036,0.34333003,0.0042523495],"study_design_scores_gemma":[0.0051825377,0.0019904391,0.013031083,0.0034155177,0.00045198578,0.000035033914,0.0014459122,0.61521876,0.20997562,0.0011580633,0.14470163,0.0033934538],"about_ca_topic_score_codex":0.0007635431,"about_ca_topic_score_gemma":0.000116269766,"teacher_disagreement_score":0.73602426,"about_ca_system_score_codex":0.0001461129,"about_ca_system_score_gemma":0.00006414418,"threshold_uncertainty_score":0.99993676},"labels":[],"label_agreement":null},{"id":"W2902025192","doi":"10.29007/xwfw","title":"Road User Abnormal Trajectory Detection using a Deep Autoencoder","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","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":"Polytechnique Montréal","funders":"Institut de Valorisation des Données","keywords":"Autoencoder; Focus (optics); Computer science; Artificial intelligence; Deep learning; Anomaly detection; Trajectory; Outlier; Computer vision; Pattern recognition (psychology); Machine learning","score_opus":0.020193309876833297,"score_gpt":0.2780743541197892,"score_spread":0.2578810442429559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902025192","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011331656,0.00017710842,0.97054446,0.00006370523,0.0016916496,0.0007778736,0.000007965584,0.0007293932,0.024874704],"genre_scores_gemma":[0.72837925,0.00014039723,0.22406092,0.00033259514,0.0017885711,0.00083368813,0.00001822117,0.000120659104,0.0443257],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972627,0.00012661764,0.00054135907,0.0012266231,0.0003700954,0.0004726106],"domain_scores_gemma":[0.9973697,0.000020878471,0.0004212301,0.0017825871,0.00022868445,0.00017689352],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003621856,0.000429115,0.00036514894,0.0003074515,0.00042086837,0.00025871614,0.0013328715,0.0005091224,0.0012527659],"category_scores_gemma":[0.000011596116,0.00044867033,0.00029399872,0.00042373876,0.000113083945,0.00038102482,0.0006793415,0.0006024799,0.006600506],"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":[0.0001207759,0.0012810461,0.000122062775,0.0005335548,0.00068081194,0.000033962984,0.004628619,0.35583314,0.019992964,0.006926559,0.050123945,0.55972254],"study_design_scores_gemma":[0.00024449982,0.00017501581,0.00091026444,0.00010205093,0.0000125457445,0.0001588649,0.000025899762,0.67389554,0.023572478,0.0008239566,0.29907498,0.0010039202],"about_ca_topic_score_codex":0.00035399926,"about_ca_topic_score_gemma":0.000047614845,"teacher_disagreement_score":0.7464835,"about_ca_system_score_codex":0.0003055129,"about_ca_system_score_gemma":0.00020785572,"threshold_uncertainty_score":0.9997965},"labels":[],"label_agreement":null},{"id":"W2908942023","doi":"10.29007/vfs3","title":"Overcurrent Mitigation in a Crop Cobble Shear System for Steel Rolling Mill","year":2019,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Metallurgy and Material Forming","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":"Northern Alberta Institute of Technology","funders":"","keywords":"Cobble; Mill; Torque; Engineering; Control system; Rolling mill; Automotive engineering; Mechanical engineering","score_opus":0.015317373053647904,"score_gpt":0.24347276174602436,"score_spread":0.22815538869237645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908942023","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.113989264,0.0043901443,0.7340517,0.000033677683,0.0536228,0.006502687,0.00040430087,0.0006652087,0.0863402],"genre_scores_gemma":[0.9873406,0.00012037235,0.000920927,0.000010155487,0.00049922237,0.00051680784,0.00026196087,0.000108409164,0.010221541],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982527,0.000046976438,0.00061978557,0.00047176678,0.00018802671,0.00042075844],"domain_scores_gemma":[0.999195,0.00005293874,0.00012565384,0.0004884682,0.00005524063,0.00008271171],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00048052747,0.0003633731,0.00059198344,0.00018173574,0.00005053688,0.00007271023,0.0002385513,0.00038479935,0.0003957703],"category_scores_gemma":[0.000020118561,0.00038663414,0.000181021,0.000089031804,0.000013510676,0.00011437909,0.00008314022,0.00031219286,0.004027938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053662046,0.0000236101,0.000008336394,0.0060920794,0.00007611446,0.0000018001524,0.0004629687,0.983344,0.0053809923,0.0007387202,0.0026425542,0.00117515],"study_design_scores_gemma":[0.0023244922,0.000106508225,0.0002350744,0.0068319365,0.000030684747,0.000019768368,0.00030112333,0.53414553,0.035830643,0.00015800934,0.41845378,0.0015624607],"about_ca_topic_score_codex":0.0000554731,"about_ca_topic_score_gemma":0.0000137660545,"teacher_disagreement_score":0.87335134,"about_ca_system_score_codex":0.00036626516,"about_ca_system_score_gemma":0.00006360891,"threshold_uncertainty_score":0.99985856},"labels":[],"label_agreement":null},{"id":"W2910342382","doi":"10.29007/ttxb","title":"New Aspects in Rotary Magnetostrictive Motor Operation","year":2019,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Magnetic Properties and Applications","field":"Materials 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":"Northern Alberta Institute of Technology","funders":"","keywords":"Magnetostriction; Torque; Rotor (electric); Motor soft starter; Engineering; Electromagnetic coil; Actuator; Process (computing); Electric motor; Rotary actuator; Mechanical engineering; Electrical engineering; Automotive engineering; Computer science; Voltage; Magnetic field; Physics","score_opus":0.01294472291414042,"score_gpt":0.24398022700863228,"score_spread":0.23103550409449186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910342382","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028461976,0.003435271,0.15301967,0.0027508042,0.006596161,0.006626192,0.0002767458,0.00018643388,0.79864675],"genre_scores_gemma":[0.6138951,0.00025591327,0.0036406198,0.00027747388,0.000738453,0.0005547883,0.000111230496,0.000053630807,0.38047275],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99788237,0.00009865571,0.0004666032,0.0008949675,0.00029740646,0.00036001892],"domain_scores_gemma":[0.99864614,0.000034866793,0.00018020703,0.0009411084,0.0000632702,0.0001343902],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00023139425,0.00030985227,0.00038586673,0.00012464811,0.0000706128,0.00014261408,0.0006022271,0.00025702393,0.049834594],"category_scores_gemma":[0.000030060113,0.00028229295,0.0000859101,0.00014227132,0.00003593732,0.00012250968,0.00038240183,0.0003396281,0.08048812],"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":[0.00026363274,0.00043016346,0.00008530976,0.0003749202,0.000027643522,0.000010496866,0.002026101,0.13889399,0.49068615,0.005702865,0.3358956,0.025603142],"study_design_scores_gemma":[0.0024153055,0.0009259513,0.0100255655,0.00072789035,0.000019241712,0.000027867887,0.00039507082,0.010993794,0.11473147,0.0024336437,0.8550606,0.0022436439],"about_ca_topic_score_codex":0.003041878,"about_ca_topic_score_gemma":0.00013312399,"teacher_disagreement_score":0.5854332,"about_ca_system_score_codex":0.00017873789,"about_ca_system_score_gemma":0.0005022355,"threshold_uncertainty_score":0.9999629},"labels":[],"label_agreement":null},{"id":"W2917222159","doi":"10.29007/vc3b","title":"Categorization: A source of theory and output of research","year":2019,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Child and Animal Learning Development","field":"Psychology","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":"HEC Montréal","funders":"","keywords":"Categorization; Contrast (vision); Set (abstract data type); Epistemology; Computer science; Data science; Cognitive psychology; Psychology; Artificial intelligence; Philosophy","score_opus":0.044804921329741836,"score_gpt":0.36689489823190086,"score_spread":0.322089976902159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917222159","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03781095,0.004780349,0.038517024,0.00030930582,0.0028205647,0.0012692824,0.000036425186,0.000044494278,0.9144116],"genre_scores_gemma":[0.63250643,0.00008112302,0.00006527434,0.000018956085,0.00013571464,0.00002270129,0.000026751515,0.00002802722,0.36711505],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974689,0.0007424932,0.00047088682,0.0006549245,0.0003772805,0.00028554557],"domain_scores_gemma":[0.9982332,0.00040226965,0.00031438796,0.0007271521,0.0002521922,0.00007077841],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002314697,0.0001992817,0.00049173174,0.00028271886,0.000053843,0.000014068772,0.00033383202,0.00031654286,0.006076169],"category_scores_gemma":[0.00014721381,0.00018336193,0.00009526401,0.00019686106,0.00028970765,0.000017108827,0.00041186722,0.0006801724,0.004792091],"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":[0.0033117342,0.0017729987,0.026932558,0.0045842314,0.0020168838,0.000017260676,0.12824167,0.010077633,0.0017531306,0.43849155,0.29688072,0.08591964],"study_design_scores_gemma":[0.0013870643,0.0006279603,0.1370143,0.0013055468,0.000015709333,0.000028353867,0.004204904,0.000034062472,0.0010437816,0.002775256,0.8509256,0.0006374575],"about_ca_topic_score_codex":0.00015556042,"about_ca_topic_score_gemma":0.0000020308737,"teacher_disagreement_score":0.59469545,"about_ca_system_score_codex":0.00003312364,"about_ca_system_score_gemma":0.00018550307,"threshold_uncertainty_score":0.99598277},"labels":[],"label_agreement":null},{"id":"W2929703184","doi":"10.29007/qpn7","title":"Towards a Meta-Model for Requirements-Driven Information for Internal Stakeholders","year":2019,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Software Engineering Techniques and Practices","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":"Western University","funders":"","keywords":"Requirements management; Requirements analysis; Context (archaeology); Requirements engineering; Stakeholder; Process management; Computer science; Requirements elicitation; Process (computing); Non-functional requirement; Knowledge management; Engineering; Software; Software development","score_opus":0.17262314904381393,"score_gpt":0.34778184908499177,"score_spread":0.17515870004117784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2929703184","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":[0.000005157105,0.00017661996,0.9872011,0.0006873397,0.0030151326,0.0026499946,0.00021613746,0.000408909,0.0056395996],"genre_scores_gemma":[0.037463423,0.00012748639,0.9361431,0.0006949174,0.00022837588,0.0035860701,0.0002493082,0.000058581107,0.021448722],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998046,0.000034044806,0.00058214966,0.0005796387,0.0003640499,0.00039415696],"domain_scores_gemma":[0.9976231,0.00019131407,0.00058136444,0.0011875151,0.00031962415,0.0000970919],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00085808744,0.00039109564,0.0005462402,0.00022255594,0.000078652425,0.00041556117,0.0016978416,0.00027619445,0.00009903386],"category_scores_gemma":[0.00020092844,0.00035770366,0.00055362645,0.000101296115,0.000017648243,0.0015142198,0.0005605303,0.0003017994,0.0004260036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010412332,0.000057861907,0.0000013808049,0.0008167682,0.0011923641,3.6566578e-7,0.0015780996,0.71423584,0.000024454735,0.012121634,0.23922534,0.030641751],"study_design_scores_gemma":[0.0002888695,0.0001229376,0.0000027220906,0.00006579463,0.000044803146,0.000003320328,0.0000060909456,0.60367227,0.00031293684,0.0016431488,0.39353326,0.0003038521],"about_ca_topic_score_codex":0.000047556372,"about_ca_topic_score_gemma":0.0000027674232,"teacher_disagreement_score":0.15430792,"about_ca_system_score_codex":0.00017020803,"about_ca_system_score_gemma":0.0003054131,"threshold_uncertainty_score":0.99988747},"labels":[],"label_agreement":null},{"id":"W2938951244","doi":"10.29007/gx3h","title":"Assessment of Potential Commercial Corridors for Hyperloop Systems","year":2019,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Transportation Planning and Optimization","field":"Social Sciences","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":"ASL Environmental Sciences (Canada)","funders":"","keywords":"Ranking (information retrieval); Transport engineering; Complement (music); Order (exchange); Computer science; Rank (graph theory); Operations research; Selection (genetic algorithm); Geography; Engineering; Business; Mathematics; Information retrieval","score_opus":0.028051486679339373,"score_gpt":0.34263546432150876,"score_spread":0.3145839776421694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938951244","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024983338,0.00019321103,0.8086279,0.00024170749,0.017098684,0.0024154962,0.0007041294,0.00007320179,0.16814731],"genre_scores_gemma":[0.9050861,0.00014001912,0.001502789,0.000031814376,0.0006248845,0.00014636182,0.0009074026,0.000029570885,0.09153108],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99813634,0.0001953246,0.00050357665,0.00040256948,0.0004945727,0.0002676174],"domain_scores_gemma":[0.99860173,0.00010069735,0.0005296083,0.0003138994,0.00036326516,0.00009077669],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007700782,0.00018693284,0.00045038303,0.00011917438,0.00023581761,0.00006989271,0.0003407765,0.00037576442,0.0006250139],"category_scores_gemma":[0.000037656733,0.00020058935,0.00020266595,0.00011965739,0.00010672965,0.0000757809,0.000021003496,0.00021211835,0.0002804551],"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":[0.000035264024,0.00009629297,0.0015950318,0.00029283282,0.000073186864,4.99676e-7,0.0023826524,0.9500958,0.00002103053,0.005557944,0.039389253,0.00046024792],"study_design_scores_gemma":[0.002365549,0.000319348,0.05191188,0.0011064758,0.00010859837,0.0000017502475,0.0056775166,0.05602088,0.000043750144,0.00009992817,0.881136,0.001208346],"about_ca_topic_score_codex":0.002056734,"about_ca_topic_score_gemma":0.00011957945,"teacher_disagreement_score":0.9025877,"about_ca_system_score_codex":0.0001129453,"about_ca_system_score_gemma":0.0007659274,"threshold_uncertainty_score":0.81797963},"labels":[],"label_agreement":null},{"id":"W3003692247","doi":"10.29007/br13","title":"Average SER Analysis for Layered Division Multiplexing System with Index Modulation","year":2019,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Advanced Wireless Communication 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":"Communications Research Centre Canada","funders":"","keywords":"Orthogonal frequency-division multiplexing; Computer science; Modulation (music); Transmission (telecommunications); Codebook; Reliability (semiconductor); Transmission system; Electronic engineering; Bit error rate; Algorithm; Decoding methods; Channel (broadcasting); Telecommunications; Engineering","score_opus":0.016730865486515294,"score_gpt":0.24867217183215803,"score_spread":0.23194130634564275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003692247","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00080278434,0.00037511621,0.9914668,0.000021580325,0.0004982869,0.0014692916,0.00014322114,0.0012922313,0.0039306423],"genre_scores_gemma":[0.98747534,0.000101240075,0.008230523,0.0000046137757,0.00004495274,0.00060831406,0.0005463793,0.00012296486,0.002865703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983007,0.000045053115,0.0004874169,0.00058211596,0.00026458304,0.00032015832],"domain_scores_gemma":[0.9973464,0.00013636463,0.0002808293,0.0020231945,0.00016288598,0.000050344846],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00018374468,0.00043978626,0.0007091278,0.000529221,0.00010683834,0.00006634132,0.0006699071,0.000465124,0.00008279864],"category_scores_gemma":[0.000024408799,0.0004048775,0.00023745654,0.00045160463,0.000034368946,0.00016048668,0.00028123957,0.00049109897,0.000663229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026926164,0.00001689902,0.0010561498,0.0006235241,0.0007550094,4.3348103e-7,0.00016710216,0.993157,0.00032340173,0.00024933173,0.0002050198,0.0034191501],"study_design_scores_gemma":[0.0004539804,0.000023560428,0.0035664882,0.00034289458,0.000004530501,9.252668e-7,0.0001671839,0.9908441,0.0012005917,0.000028220496,0.0028945145,0.00047304557],"about_ca_topic_score_codex":0.000031426225,"about_ca_topic_score_gemma":0.00004192183,"teacher_disagreement_score":0.9866725,"about_ca_system_score_codex":0.00041513913,"about_ca_system_score_gemma":0.000025148065,"threshold_uncertainty_score":0.9998403},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"agree"},{"id":"W3004015445","doi":"10.29007/lh14","title":"DevOps' Shift-Left in Practice: An Industrial Case of Application","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Service-Oriented Architecture and Web Services","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 Victoria","funders":"","keywords":"DevOps; Software deployment; Automation; Computer science; Software engineering; Information technology operations; Software; Software development; Systems engineering; Engineering management; Process management; Engineering; Information technology; Operating system","score_opus":0.018777781808632852,"score_gpt":0.3068757993193587,"score_spread":0.28809801751072583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004015445","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046343625,0.00035299925,0.8936009,0.001486101,0.003675476,0.002119679,0.000054085354,0.00019079016,0.052176353],"genre_scores_gemma":[0.9859942,0.000029381943,0.011745068,0.00058166904,0.0010054908,0.0001194366,0.00009368922,0.000037268936,0.00039376487],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966588,0.00044305454,0.0007712503,0.0012951456,0.00041797687,0.00041374835],"domain_scores_gemma":[0.9961285,0.00019943842,0.00078786677,0.0024341699,0.00025538474,0.00019466694],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009722203,0.00039587644,0.0004890357,0.00039447894,0.000095844975,0.00012664785,0.0020198964,0.0005783711,0.00019834007],"category_scores_gemma":[0.000040097,0.0003886201,0.00010775194,0.0006283489,0.00007144511,0.0006131137,0.0010146888,0.00080725877,0.0012277927],"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":[0.001525176,0.007676955,0.0027297102,0.0019203208,0.0010651527,0.0019054645,0.22240481,0.16334818,0.00213145,0.0720909,0.014061151,0.50914073],"study_design_scores_gemma":[0.0054836655,0.0019876058,0.0021305087,0.0015492724,0.00009245704,0.0038059985,0.0035741443,0.0940964,0.015709374,0.01185732,0.85588974,0.0038235246],"about_ca_topic_score_codex":0.0048512174,"about_ca_topic_score_gemma":0.003698052,"teacher_disagreement_score":0.9396506,"about_ca_system_score_codex":0.00009114272,"about_ca_system_score_gemma":0.00041025787,"threshold_uncertainty_score":0.9998566},"labels":[],"label_agreement":null},{"id":"W3004198738","doi":"10.29007/gq5x","title":"DevOps Round-trip Engineering: Traceability from Dev to Ops and Back Again","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Software System Performance and Reliability","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":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Universidad ICESI; University of Victoria","keywords":"DevOps; Traceability; Computer science; Panorama; Process (computing); Software engineering; Configuration Management (ITSM); Soundness; Java; Systems engineering; Software deployment; Engineering; Programming language","score_opus":0.0134555998664085,"score_gpt":0.2435231270398142,"score_spread":0.23006752717340573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004198738","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09925919,0.00073099975,0.8854587,0.00077436987,0.006338486,0.0016855232,0.0000756641,0.00048512963,0.005191903],"genre_scores_gemma":[0.90477777,0.000107307984,0.07906131,0.00046497004,0.001505046,0.0003136349,0.0000613201,0.00007949793,0.013629136],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99574673,0.0001877375,0.00081468123,0.0020843272,0.0005241253,0.0006423947],"domain_scores_gemma":[0.9957726,0.0002393679,0.0002306922,0.003017464,0.000256984,0.0004828787],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011968529,0.0006287268,0.00081300584,0.00017559553,0.00014937005,0.00037405553,0.001824653,0.00059197,0.0008512702],"category_scores_gemma":[0.00022599453,0.00057001977,0.00021342408,0.00043331934,0.00009943577,0.00036324986,0.0015129657,0.0005914514,0.020988513],"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":[0.0004222993,0.0019047842,0.03320265,0.0048260675,0.0013617306,0.000060116712,0.034776162,0.2217642,0.0012894715,0.00083575374,0.5669598,0.13259694],"study_design_scores_gemma":[0.0013025336,0.00053298695,0.086630575,0.0013766213,0.000020732678,0.000053774875,0.00008109176,0.10539604,0.0025097758,0.0010577362,0.7980682,0.0029699046],"about_ca_topic_score_codex":0.0005497011,"about_ca_topic_score_gemma":0.000054787422,"teacher_disagreement_score":0.80639744,"about_ca_system_score_codex":0.00032327595,"about_ca_system_score_gemma":0.00032179593,"threshold_uncertainty_score":0.99967515},"labels":[],"label_agreement":null},{"id":"W3099726793","doi":"10.29007/91wj","title":"The SAT+CAS Method for Combinatorial Search with Applications to Best Matrices","year":2019,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"","keywords":"DPLL algorithm; Mathematics; Satisfiability; Combinatorics; Solver; Conjecture; Computer science; Discrete mathematics; Mathematical optimization","score_opus":0.017162339290335504,"score_gpt":0.30160680561434317,"score_spread":0.28444446632400766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099726793","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0003427273,0.0013316518,0.93578404,0.00012307639,0.004038183,0.0052343043,0.00017052612,0.00015683309,0.05281863],"genre_scores_gemma":[0.8760073,0.00038089935,0.011983697,0.00006188781,0.0031394733,0.016546838,0.00023411898,0.00040176834,0.091243975],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99832004,0.0001281649,0.0003430608,0.00050573144,0.0002749565,0.00042803618],"domain_scores_gemma":[0.9980575,0.00044433872,0.00007741445,0.001133864,0.00014479454,0.00014212861],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000943178,0.00033537854,0.00039688218,0.00009527826,0.00025222942,0.00016206589,0.00074242364,0.00024532076,0.000084154955],"category_scores_gemma":[0.000010732962,0.00024387192,0.00015803067,0.00027590367,0.000035881156,0.000039139155,0.00011817363,0.00041201778,0.008830937],"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":[0.00023548472,0.00008867118,0.000031656167,0.0013329674,0.00054445944,7.485771e-7,0.0012240392,0.85862166,0.00042356955,0.088365525,0.037730597,0.011400614],"study_design_scores_gemma":[0.00049039046,0.00016206369,0.000029618206,0.00018626546,0.000020390207,0.000010074635,0.00043833966,0.004127254,0.0012818652,0.002192338,0.99057585,0.0004855595],"about_ca_topic_score_codex":0.00004451481,"about_ca_topic_score_gemma":0.000021701338,"teacher_disagreement_score":0.9528452,"about_ca_system_score_codex":0.0001009638,"about_ca_system_score_gemma":0.000074265394,"threshold_uncertainty_score":0.99448085},"labels":[],"label_agreement":null},{"id":"W4235768167","doi":"10.29007/kvt4","title":"Vortex-Induced Vibrations of a Low-tension Cable-Sheave System Modeled using Nonlinear Finite Elements","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Vibration and Dynamic Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vortex shedding; Tension (geology); Vortex; Vibration; Finite element method; Physics; Mechanics; Van der Pol oscillator; Nonlinear system; Wake; Starting vortex; Structural engineering; Vortex ring; Engineering; Acoustics; Classical mechanics","score_opus":0.02229784120796232,"score_gpt":0.2568727730956011,"score_spread":0.23457493188763875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235768167","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023381721,0.00008988981,0.95573086,0.000011559714,0.0014972759,0.00067991466,0.00019973531,0.00023385289,0.018175185],"genre_scores_gemma":[0.9809126,0.000043994194,0.013876159,0.000023562561,0.00038329652,0.000054927285,0.00044780425,0.00011652728,0.0041411],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99734235,0.000098221426,0.0011576455,0.0005892558,0.00043974444,0.00037279874],"domain_scores_gemma":[0.9980332,0.000036785794,0.00038589435,0.0010262936,0.00035751532,0.0001602769],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00027376527,0.0004756709,0.00079988403,0.00040994634,0.00013556569,0.00006207686,0.0003168807,0.00045099325,0.001143145],"category_scores_gemma":[0.000033131422,0.0004992202,0.00032917492,0.0004076471,0.000039691826,0.00015104297,0.00015862894,0.00035876784,0.0017285504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016726375,0.00005863427,0.000019639912,0.0006691466,0.0003768951,0.0000032084988,0.0002976232,0.9886467,0.00895844,0.00005839199,0.00076548645,0.0001291255],"study_design_scores_gemma":[0.0003882955,0.00003208435,0.000015493157,0.00075421645,0.00006329324,0.000005101407,0.0001655571,0.9936468,0.004088525,0.000014794494,0.00040537296,0.00042047226],"about_ca_topic_score_codex":0.00018228752,"about_ca_topic_score_gemma":0.000065089815,"teacher_disagreement_score":0.9575309,"about_ca_system_score_codex":0.00032116138,"about_ca_system_score_gemma":0.00018199021,"threshold_uncertainty_score":0.9997699},"labels":[],"label_agreement":null},{"id":"W4236811513","doi":"10.29007/gz11","title":"Technico-economic modelling of maintenance cost for hydroelectric turbine runners","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Water Systems and Optimization","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":true,"ca_institutions":"École de Technologie Supérieure","funders":"Mitacs","keywords":"Hydroelectricity; Reliability (semiconductor); Monte Carlo method; Reliability engineering; Probabilistic logic; Turbine; Asset management; Asset (computer security); Net present value; Sensitivity (control systems); Computer science; Component (thermodynamics); Operations research; Engineering; Production (economics); Business; Power (physics); Mechanical engineering","score_opus":0.018120855355368403,"score_gpt":0.21987743820827585,"score_spread":0.20175658285290746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236811513","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00042929297,0.0005701626,0.95559263,0.000017655626,0.0025920721,0.0015157574,0.0001351054,0.00016444808,0.038982894],"genre_scores_gemma":[0.95305157,0.00048709646,0.006289876,0.000008949086,0.0007141316,0.0005553374,0.00021415732,0.0001559457,0.03852296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984537,0.000014671615,0.0006131792,0.00044948407,0.00009687434,0.0003721245],"domain_scores_gemma":[0.9989996,0.000024045246,0.00021376343,0.00059834094,0.0000944122,0.00006981745],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002467147,0.00033406547,0.0005328135,0.00021692236,0.000040155042,0.000030960837,0.00034999158,0.00032955207,0.00020938492],"category_scores_gemma":[0.0000065292666,0.00034068307,0.00018453017,0.00009784813,0.000035689198,0.000073846124,0.000057828835,0.00019937394,0.00078287156],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001954047,0.000010923847,0.0000017299675,0.00050901953,0.000075831114,2.0562413e-7,0.00010726548,0.8891749,0.00009846941,0.00011470737,0.109540574,0.00034687185],"study_design_scores_gemma":[0.00031974888,0.00005052777,0.0000017653697,0.00031000987,0.000009944434,0.0000043737746,0.000007706354,0.90892226,0.004962283,0.00010186079,0.084976114,0.00033341942],"about_ca_topic_score_codex":0.00008482926,"about_ca_topic_score_gemma":0.000032237815,"teacher_disagreement_score":0.95262223,"about_ca_system_score_codex":0.00030874118,"about_ca_system_score_gemma":0.00005883685,"threshold_uncertainty_score":0.9999951},"labels":[],"label_agreement":null},{"id":"W4240701199","doi":"10.29007/wxkg","title":"A Procedure for Performance Experimental Analysis of a Globe Control Valve","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Hydraulic and Pneumatic Systems","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":"Ontario Tech University","funders":"Ministry of Power","keywords":"Reliability (semiconductor); Pressure drop; Control valves; Check valve; Flow control valve; Mathematics; Flow (mathematics); Control theory (sociology); Engineering; Mechanical engineering; Computer science; Control (management); Mechanics","score_opus":0.012026516307937427,"score_gpt":0.2573819116356839,"score_spread":0.24535539532774647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240701199","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13626239,0.004641741,0.7035162,0.000025485513,0.004320949,0.004482465,0.00078704784,0.0003252217,0.14563851],"genre_scores_gemma":[0.99319243,0.00004533702,0.00028309872,0.0000238823,0.0004227416,0.0009172956,0.00011732246,0.00006186526,0.0049360017],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983275,0.00003097357,0.00065966696,0.0004079149,0.000254782,0.00031916547],"domain_scores_gemma":[0.9988554,0.00005628075,0.00022288461,0.0006525932,0.00011282235,0.00010002502],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002786069,0.0003628272,0.0010044517,0.000247835,0.000045483295,0.000024357378,0.0003578311,0.00030312766,0.0013918399],"category_scores_gemma":[0.000019607127,0.00034251527,0.00067074556,0.00030796372,0.000054034328,0.00004812942,0.00004430341,0.0001417106,0.0008427897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006746036,0.00010105966,0.00037952227,0.0022184972,0.0072722537,3.1679463e-7,0.0038635936,0.9293036,0.0012970268,0.000024384583,0.05495502,0.00051728514],"study_design_scores_gemma":[0.0010168198,0.00020853986,0.0011118759,0.0005882076,0.0004131427,0.0000059157546,0.00030064734,0.95306534,0.0070062582,0.000005423545,0.035664625,0.00061323534],"about_ca_topic_score_codex":0.000028003462,"about_ca_topic_score_gemma":0.000008470161,"teacher_disagreement_score":0.8569301,"about_ca_system_score_codex":0.0001280345,"about_ca_system_score_gemma":0.0000666623,"threshold_uncertainty_score":0.99993515},"labels":[],"label_agreement":null},{"id":"W4242642395","doi":"10.29007/wvlp","title":"Generating Reuse Possibilities for Retired Wind-Turbine Blades","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Design Education and Practice","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Connaught Fund; Technische Universität Braunschweig","keywords":"Turbine blade; Turbine; Perspective (graphical); Work (physics); Reuse; Wind power; Closure (psychology); Computer science; Engineering; Marine engineering; Environmental science; Mechanical engineering; Artificial intelligence","score_opus":0.034212184115437555,"score_gpt":0.2998494140840859,"score_spread":0.26563722996864836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242642395","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035180446,0.0070811035,0.41585702,0.002293402,0.04021309,0.005007289,0.0005374359,0.0018329103,0.4919973],"genre_scores_gemma":[0.37921247,0.0005361141,0.040240176,0.0004899826,0.0076117995,0.0006627554,0.00056427286,0.00034671882,0.5703357],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981261,0.00010555229,0.0005508461,0.0005958418,0.00020646026,0.0004152038],"domain_scores_gemma":[0.99767506,0.0002728511,0.00017507859,0.0015067467,0.00022313118,0.000147104],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00060512987,0.0004209976,0.0004111234,0.00013809584,0.00015093229,0.00020607657,0.0006020779,0.00039043353,0.0051102275],"category_scores_gemma":[0.0006162154,0.0004432047,0.00018059829,0.00012328397,0.000070425944,0.0001820863,0.00012879488,0.00043294084,0.00510761],"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":[0.000047903188,0.000055219687,0.0000047274443,0.00064083823,0.00018778327,8.8120055e-7,0.0043832683,0.12979451,0.003857725,0.0001406032,0.8582734,0.0026131847],"study_design_scores_gemma":[0.00035375333,0.000087079585,0.000046110257,0.00024636782,0.000022278762,0.000013480425,0.00042026784,0.0245658,0.008349185,0.0005876162,0.96460813,0.00069995044],"about_ca_topic_score_codex":0.000031872747,"about_ca_topic_score_gemma":0.000010941796,"teacher_disagreement_score":0.37561685,"about_ca_system_score_codex":0.00017624881,"about_ca_system_score_gemma":0.00017265257,"threshold_uncertainty_score":0.999802},"labels":[],"label_agreement":null},{"id":"W4242800430","doi":"10.29007/hrw2","title":"Design of Electronic Stability Control (ESC) Systems for Car-trailer Combinations","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Vehicle Dynamics and Control Systems","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":"Ontario Tech University","funders":"","keywords":"Trailer; CarSim; Automotive engineering; Electronic stability control; Frame (networking); Accelerometer; Actuator; Engineering; Control system; Software; Vehicle dynamics; Axle; Computer science; Simulation; Mechanical engineering; Electrical engineering","score_opus":0.013864719732561766,"score_gpt":0.22343179167584307,"score_spread":0.2095670719432813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242800430","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018388602,0.003059969,0.97811645,0.00002647016,0.0033526344,0.004878781,0.0006009451,0.00017351794,0.0079523735],"genre_scores_gemma":[0.9933027,0.00013288435,0.00007912456,0.0000072836465,0.00035132703,0.0021289724,0.00010554119,0.00011809567,0.0037740718],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9974838,0.00019144017,0.000877775,0.00053947925,0.00028613137,0.00062135514],"domain_scores_gemma":[0.99794817,0.00023738724,0.0002797094,0.00096623134,0.0004571232,0.000111350215],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0010627924,0.00043386908,0.0009484693,0.00012975588,0.00007944108,0.00006697846,0.00049193855,0.0004501847,0.00024932655],"category_scores_gemma":[0.000037455146,0.00045148403,0.00028289625,0.00011911668,0.00007475152,0.00005870535,0.000039292347,0.00036950683,0.00037360127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069908194,0.00012357315,0.000022387749,0.0011177519,0.0006418843,2.8141886e-7,0.00026589146,0.98326844,0.002582082,0.0025998643,0.009058334,0.0002496022],"study_design_scores_gemma":[0.0018641821,0.00023125621,0.00007386674,0.00021313771,0.000039446128,0.0000039702304,0.00006250669,0.9786597,0.00019243335,0.000268852,0.017933367,0.00045727554],"about_ca_topic_score_codex":0.00014832511,"about_ca_topic_score_gemma":0.00003520657,"teacher_disagreement_score":0.99146384,"about_ca_system_score_codex":0.00045050724,"about_ca_system_score_gemma":0.00023248314,"threshold_uncertainty_score":0.9997937},"labels":[],"label_agreement":null},{"id":"W4243520228","doi":"10.29007/pjn4","title":"Computation of Some Integer Sequences in Maple","year":2017,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Botanical Research and Chemistry","field":"Agricultural and Biological Sciences","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":"Maple Leaf Foods; Western University","funders":"","keywords":"Maple; Partition (number theory); Integer (computer science); Stirling numbers of the second kind; Eulerian path; Context (archaeology); Sequence (biology); Mathematics; Computation; Stirling number; Integer programming; Stirling numbers of the first kind; Value (mathematics); Computer science; Discrete mathematics; Combinatorics; Algorithm; Applied mathematics; Programming language","score_opus":0.042505735636753916,"score_gpt":0.3130140560858323,"score_spread":0.2705083204490784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243520228","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":[0.8495586,0.0024996242,0.000249215,0.002665709,0.0011697814,0.00080415123,0.0002827995,0.000045057826,0.14272505],"genre_scores_gemma":[0.9815609,0.000324595,0.00002492245,0.000029288607,0.0002587085,0.00002880902,0.000105402614,0.0000010045997,0.017666375],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986479,0.00006666731,0.00030735304,0.0004094475,0.00030440048,0.0002642132],"domain_scores_gemma":[0.9993379,0.00010402922,0.00023994061,0.00013290627,0.000078753714,0.000106472886],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00031312404,0.00015660751,0.00030919941,0.000009638837,0.0000632708,0.00005493662,0.00062579056,0.00026355393,0.0023222053],"category_scores_gemma":[0.00014900471,0.00006324977,0.00012786269,0.00006676123,0.00015047517,0.0000755997,0.00027043826,0.00040310074,0.00088935945],"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":[0.00031002113,0.00089012855,0.0034756414,0.0007248434,0.00011741421,0.000043081272,0.0002626492,0.0039699893,0.53110325,0.0004965842,0.070173405,0.388433],"study_design_scores_gemma":[0.0018241535,0.0015756891,0.26025277,0.0068606697,0.000016450786,0.00003418521,0.0012189427,0.0035049901,0.26299515,0.042324916,0.41597924,0.0034128472],"about_ca_topic_score_codex":0.000970651,"about_ca_topic_score_gemma":0.00043916167,"teacher_disagreement_score":0.38502017,"about_ca_system_score_codex":0.000048457452,"about_ca_system_score_gemma":0.00004286234,"threshold_uncertainty_score":0.99988854},"labels":[],"label_agreement":null},{"id":"W4245534220","doi":"10.29007/6bnf","title":"Computational Fluid Dynamics Simulations of Flow in the Renal Arteries after Stent Graft Implantation","year":2018,"lang":"en","type":"paratext","venue":"EasyChair preprint","topic":"Aortic aneurysm repair treatments","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Fenestration; Hemodynamics; Aneurysm; Blood flow; Stent; Abdominal aortic aneurysm; Renal artery; Medicine; Biomedical engineering; Mechanics; Radiology; Cardiology; Surgery; Internal medicine; Physics; Kidney","score_opus":0.014871541077148543,"score_gpt":0.29215661511753344,"score_spread":0.2772850740403849,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245534220","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":[0.78796893,0.00021920558,0.19559295,0.0010660242,0.0010158424,0.0031957487,0.0011200863,0.000063458814,0.009757719],"genre_scores_gemma":[0.98968965,0.000017750805,0.0033632054,0.00017797171,0.00017536491,0.00017595803,0.0023735638,0.000032324642,0.003994195],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979558,0.00015658783,0.0007036126,0.0004446106,0.0005184974,0.00022087454],"domain_scores_gemma":[0.998702,0.00015049009,0.0002832163,0.0005918998,0.0002091201,0.000063308464],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00020734742,0.00028305565,0.00042952033,0.00017797097,0.000054651577,0.00002078176,0.00015202341,0.00019525617,0.0011665784],"category_scores_gemma":[0.00004318095,0.00020971337,0.00017863029,0.00015728474,0.00018117297,0.000056746743,0.000085980624,0.000253283,0.00071332144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020936648,0.0019894466,0.03183297,0.0007981395,0.000769145,0.00025462353,0.012155252,0.93414056,0.00010027386,0.00023771745,0.011604432,0.0040237997],"study_design_scores_gemma":[0.0033469268,0.0009957096,0.4259007,0.0011813091,0.00021824104,0.0006099198,0.000728749,0.56224257,0.00013729,0.0012878836,0.0028169274,0.00053376064],"about_ca_topic_score_codex":0.00006732584,"about_ca_topic_score_gemma":0.00013433908,"teacher_disagreement_score":0.39406773,"about_ca_system_score_codex":0.00022339226,"about_ca_system_score_gemma":0.00023451654,"threshold_uncertainty_score":0.9997465},"labels":[],"label_agreement":null}]}