{"meta":{"query_hash":"25ecf3fc7693","filters":{"venue":"Journal of Mathematical Psychology"},"cohort_total":34,"direct_labels_cover":0,"predictions_cover":34,"exported":34,"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/25ecf3fc7693","api":"https://metacan.xera.ac/api/v1/cohort?venue=Journal+of+Mathematical+Psychology"},"results":[{"id":"W1199517114","doi":"10.1016/j.jmp.2017.06.001","title":"Addressing very short stimulus encoding times in modeling schizophrenia cognitive deficit","year":2017,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Encoding (memory); ENCODE; Computer science; Stimulus (psychology); Cognition; Cognitive model; Schizophrenia (object-oriented programming); Cognitive psychology; Psychology; Artificial intelligence; Neuroscience; Gene; Genetics; Biology","score_opus":0.1790942280151065,"score_gpt":0.4050685124815691,"score_spread":0.22597428446646262,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1199517114","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":[0.9618781,0.000029204044,0.024731353,0.00071486505,0.00052542664,0.000090906025,0.000002107833,0.000010039981,0.0120179495],"genre_scores_gemma":[0.9983038,0.000032720887,0.0011014261,0.00036364514,0.00013994603,0.0000017781712,1.7398986e-7,0.000015490594,0.00004103223],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99859786,0.0001088001,0.0005627407,0.00022030645,0.00025876058,0.00025154685],"domain_scores_gemma":[0.9988406,0.00049060676,0.00030384064,0.00020917557,0.000068064604,0.00008776657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006059259,0.00012914433,0.00034333076,0.00018682425,0.00020243287,0.00012572328,0.00036236236,0.0001043341,0.000088834306],"category_scores_gemma":[0.0028726389,0.00010162043,0.00010805547,0.000065569955,0.00014283844,0.00037153927,0.00007474185,0.0005072695,0.00003742688],"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":[0.0044144965,0.0022696145,0.0033126476,0.0002881384,0.000090583635,0.003295104,0.0009169861,0.005292645,0.82008654,0.041510373,0.00047099678,0.11805185],"study_design_scores_gemma":[0.004433612,0.0008396761,0.004961963,0.0018961666,0.000106397674,0.0032422077,0.00019322846,0.66737014,0.0074369316,0.30892417,0.00002747905,0.0005680682],"about_ca_topic_score_codex":7.6760824e-7,"about_ca_topic_score_gemma":0.0000012858673,"teacher_disagreement_score":0.8126496,"about_ca_system_score_codex":0.000027792672,"about_ca_system_score_gemma":0.000026863136,"threshold_uncertainty_score":0.4143961},"labels":[],"label_agreement":null},{"id":"W1535669865","doi":"10.1016/j.jmp.2014.09.002","title":"Bayesian inference and model comparison for random choice structures","year":2014,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Prior probability; Markov chain Monte Carlo; Inference; Conjugate prior; Bayesian inference; Axiom; Posterior probability; Bayesian probability; Computer science; Mathematics; Markov chain; Joint probability distribution; Applied mathematics; Algorithm; Econometrics; Artificial intelligence; Statistics; Machine learning","score_opus":0.14801565075675674,"score_gpt":0.33799402154223784,"score_spread":0.1899783707854811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1535669865","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24786273,0.00016118138,0.7476054,0.000731091,0.00010569862,0.00007758586,0.000004700784,0.0000025532881,0.0034490658],"genre_scores_gemma":[0.9683113,0.000029276114,0.031002387,0.0004974909,0.00008406774,0.0000038374687,9.4266096e-7,0.000008920786,0.00006174351],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9990326,0.000015258768,0.0006888738,0.00012346724,0.00001993463,0.00011984002],"domain_scores_gemma":[0.9990111,0.00032147666,0.0004819209,0.0001077559,0.000010952631,0.000066806446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007759173,0.0000773785,0.00042222085,0.000075688506,0.000034022178,0.0000184626,0.000109576606,0.000081681574,0.00016381002],"category_scores_gemma":[0.00038392356,0.000070843394,0.0000728641,0.000017397977,0.00006583568,0.0000988151,0.000014327311,0.00010645716,0.000027124714],"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":[0.00013607366,0.0002086795,0.05126033,0.00010235883,0.00008609807,2.314458e-7,0.00050106266,0.004120655,0.00012291124,0.9364573,0.0024093657,0.0045949807],"study_design_scores_gemma":[0.0017293855,0.00014926854,0.017974172,0.000008141524,0.000010310356,0.000011862068,0.000012023914,0.18565428,0.000011253251,0.7935145,0.0008537105,0.000071119],"about_ca_topic_score_codex":6.530149e-7,"about_ca_topic_score_gemma":6.916132e-7,"teacher_disagreement_score":0.7204486,"about_ca_system_score_codex":0.000018953977,"about_ca_system_score_gemma":0.000003122589,"threshold_uncertainty_score":0.288891},"labels":[],"label_agreement":null},{"id":"W1972002652","doi":"10.1006/jmps.2000.1339","title":"Judgments of Frequency and Recency in a Distributed Memory Model","year":2001,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Associative property; Computer science; Forgetting; Content-addressable memory; Cognitive psychology; Psychology; Arithmetic; Artificial intelligence; Mathematics; Pure mathematics; Artificial neural network","score_opus":0.09205222140124132,"score_gpt":0.37166463261508753,"score_spread":0.2796124112138462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972002652","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":[0.98153734,0.00016801347,0.008532713,0.0010691667,0.00008283885,0.00007134849,0.0000037134835,0.00000388734,0.008530969],"genre_scores_gemma":[0.99554074,0.00046567508,0.0033770918,0.0005468252,0.000019953755,0.0000016225002,1.0032759e-7,0.0000057026264,0.000042264575],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9986997,0.00007422068,0.0007053132,0.00014344299,0.00020910292,0.000168223],"domain_scores_gemma":[0.99918175,0.00018333035,0.00035920678,0.00013569904,0.000056580568,0.00008346546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044010262,0.000085847074,0.0003169766,0.00012380652,0.000019461277,0.0000083172545,0.00023845231,0.000073482785,0.00017756035],"category_scores_gemma":[0.0010536256,0.00006200487,0.00004417337,0.00021941084,0.0001668988,0.00018935253,0.000024899275,0.00020952933,0.000007395466],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010319161,0.00488079,0.014280356,0.0008323841,0.00005158791,0.0008642817,0.0025323227,0.00072319945,0.8870471,0.069377996,0.0023999554,0.015978105],"study_design_scores_gemma":[0.0019614093,0.0006758961,0.004145576,0.00028893803,0.000028639102,0.001955655,0.00012042376,0.004435817,0.011513862,0.9745965,0.00010053689,0.00017673313],"about_ca_topic_score_codex":5.37317e-7,"about_ca_topic_score_gemma":4.5386756e-7,"teacher_disagreement_score":0.90521854,"about_ca_system_score_codex":0.000010974697,"about_ca_system_score_gemma":0.000029018569,"threshold_uncertainty_score":0.2528485},"labels":[],"label_agreement":null},{"id":"W1987409935","doi":"10.1006/jmps.2001.1374","title":"A Simple Axiomatization of Binary Rank-Dependent Utility of Gains (Losses)","year":2002,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Binary number; Simple (philosophy); Partition (number theory); Mathematics; Rank (graph theory); Representation (politics); Applied mathematics; Combinatorics; Arithmetic","score_opus":0.28651160125907393,"score_gpt":0.4756119854686987,"score_spread":0.18910038420962477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987409935","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":[0.9651163,0.00010884031,0.028301934,0.0005973673,0.00032785392,0.00009174602,0.000012026965,0.000005548491,0.00543839],"genre_scores_gemma":[0.99553955,0.000030694857,0.004181278,0.00011031332,0.000044458884,7.650317e-7,3.0560335e-7,0.000009418016,0.00008324502],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9958801,0.0002618682,0.0025826513,0.00021738502,0.0008798765,0.0001780961],"domain_scores_gemma":[0.9950985,0.0017626337,0.0018522395,0.0005864815,0.00057628285,0.00012386465],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0038909675,0.00012700114,0.00081938226,0.00043869967,0.00003594096,0.000028778366,0.0007789103,0.0001563154,0.0061881086],"category_scores_gemma":[0.0038605616,0.00008567959,0.0003147892,0.00041451285,0.00023646279,0.0002226613,0.00007882804,0.0002000296,0.00018583135],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013197311,0.014416643,0.026327169,0.00021864436,0.0002740692,0.00029845544,0.004718121,0.000618967,0.03304773,0.010026531,0.0998071,0.8089268],"study_design_scores_gemma":[0.0017948983,0.0010581475,0.020160966,0.00012255322,0.00008113388,0.0005681755,0.0005937852,0.011758911,0.0010406559,0.9613454,0.0012950437,0.00018035594],"about_ca_topic_score_codex":0.000001038328,"about_ca_topic_score_gemma":0.0000010997395,"teacher_disagreement_score":0.95131886,"about_ca_system_score_codex":0.000017358065,"about_ca_system_score_gemma":0.000024976336,"threshold_uncertainty_score":0.9947204},"labels":[],"label_agreement":null},{"id":"W1989108037","doi":"10.1016/j.jmp.2005.11.004","title":"Modelling intransitive preferences: A random-effects approach","year":2005,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Science Council","keywords":"Transitive relation; Pairwise comparison; Consistency (knowledge bases); Preference; Replication (statistics); Computer science; Econometrics; Invariant (physics); Mathematics; Cognitive psychology; Mathematical economics; Artificial intelligence; Psychology; Statistics","score_opus":0.22193040817320334,"score_gpt":0.44617215646203207,"score_spread":0.22424174828882873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989108037","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4151272,0.00009647408,0.57021296,0.0007044625,0.00024590516,0.000097127726,0.0000012186958,0.000007857067,0.013506821],"genre_scores_gemma":[0.878472,0.000025493864,0.12058943,0.00050729583,0.00027428972,0.0000035826345,2.0816607e-7,0.00001172428,0.000116005554],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9967293,0.00032255895,0.0016245223,0.00030947174,0.000747423,0.00026669397],"domain_scores_gemma":[0.9952516,0.003070167,0.0007233606,0.00040017423,0.0003524025,0.0002023181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004710206,0.00016989616,0.000824027,0.0003598609,0.00006409714,0.00013502948,0.0008596214,0.0001818704,0.00043841917],"category_scores_gemma":[0.0014628592,0.00010240217,0.0003309519,0.00026972304,0.00016182484,0.0003634796,0.0000434516,0.00046278734,0.000512208],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001030244,0.0019431843,0.000059748992,0.000023524924,0.00009540482,0.00007030036,0.0033206218,0.035225227,0.00025489237,0.0063525415,0.009076109,0.9425482],"study_design_scores_gemma":[0.002357146,0.00036528066,0.000043840515,0.00007997231,0.000060648348,0.0007991445,0.00028925255,0.08170793,0.00007703901,0.9103122,0.003741342,0.00016621788],"about_ca_topic_score_codex":3.5190445e-7,"about_ca_topic_score_gemma":3.5221024e-7,"teacher_disagreement_score":0.942382,"about_ca_system_score_codex":0.000035641548,"about_ca_system_score_gemma":0.000047451987,"threshold_uncertainty_score":0.65835685},"labels":[],"label_agreement":null},{"id":"W1994357716","doi":"10.1016/j.jmp.2005.06.004","title":"Associative isolation: Unifying associative and list memory","year":2005,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital","funders":"","keywords":"Chaining; Associative property; Computer science; Content-addressable memory; Coding (social sciences); Serial learning; Associative learning; Dissociation (chemistry); Theoretical computer science; Recall; Artificial intelligence; Pattern recognition (psychology); Mathematics; Cognitive psychology; Psychology; Statistics; Pure mathematics; Artificial neural network","score_opus":0.07515538554300946,"score_gpt":0.3841416884148371,"score_spread":0.3089863028718276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994357716","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":[0.8990362,0.00038947034,0.006176103,0.013341039,0.00033298627,0.00014249484,0.0000047444005,0.000024133244,0.08055278],"genre_scores_gemma":[0.98798126,0.00018088211,0.006111099,0.00478078,0.0003622134,0.0000018038079,8.317499e-8,0.000011103377,0.0005707677],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99854696,0.00020370641,0.00057027716,0.00017260425,0.00030428031,0.00020218825],"domain_scores_gemma":[0.9979003,0.0010462481,0.00071332697,0.00009677381,0.00013386105,0.000109495384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008625218,0.00011299544,0.00033695524,0.00009254449,0.000113862436,0.000047113608,0.00021116469,0.0001081458,0.00048425733],"category_scores_gemma":[0.0029853596,0.000083836836,0.000074351265,0.00016558377,0.00017515644,0.00041724945,0.00003451883,0.00036178256,0.000062392646],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014163576,0.005691955,0.009830364,0.0009661726,0.00066376175,0.00060163386,0.06552683,0.00018342504,0.44150126,0.25021723,0.065753564,0.15764743],"study_design_scores_gemma":[0.008058234,0.0032455989,0.019102484,0.0008055798,0.0003221187,0.00393336,0.004686746,0.006986675,0.07088679,0.85243225,0.028187592,0.0013525926],"about_ca_topic_score_codex":2.2792611e-7,"about_ca_topic_score_gemma":6.9634797e-7,"teacher_disagreement_score":0.602215,"about_ca_system_score_codex":0.000046323887,"about_ca_system_score_gemma":0.000032629498,"threshold_uncertainty_score":0.5302278},"labels":[],"label_agreement":null},{"id":"W2002544780","doi":"10.1016/j.jmp.2013.05.003","title":"Learning curves as strong evidence for testing models: The case of EBRW","year":2013,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Carleton University; University of Ottawa","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Curvature; Context (archaeology); Exponential function; Weibull distribution; Categorization; Extension (predicate logic); Mathematics; Computer science; Function (biology); Exponential family; Artificial intelligence; Statistical physics; Machine learning; Statistics; Mathematical analysis; Geometry","score_opus":0.22111519432542628,"score_gpt":0.43837434018752364,"score_spread":0.21725914586209735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002544780","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":[0.9037431,0.0037307085,0.044844665,0.010872111,0.00057670486,0.00075557816,0.0000014759728,0.000034069257,0.03544161],"genre_scores_gemma":[0.9855458,0.000046600693,0.012818591,0.0007369018,0.00018791911,0.000024899267,2.3053596e-7,0.000022596605,0.00061645015],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982348,0.00026335285,0.0008708258,0.00018297043,0.00016000692,0.00028803461],"domain_scores_gemma":[0.99505734,0.0035322346,0.0007264945,0.00022416032,0.00036202278,0.00009774459],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017400305,0.0001415491,0.00042132853,0.000085285894,0.0001062049,0.000020982749,0.00032293852,0.000094889394,0.00123266],"category_scores_gemma":[0.0031861544,0.00008646581,0.000171133,0.00013731234,0.0001561332,0.00014917486,0.00004370675,0.00055430713,0.00013340676],"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":[0.0015725051,0.00365737,0.0073805754,0.0030245841,0.0022151666,0.0021827077,0.03051416,0.002042568,0.007957674,0.46373868,0.14438799,0.331326],"study_design_scores_gemma":[0.006366207,0.013194046,0.0469123,0.010860182,0.00083750987,0.10076069,0.0160638,0.015420582,0.00015783349,0.78392833,0.0043133833,0.0011851296],"about_ca_topic_score_codex":0.000015696192,"about_ca_topic_score_gemma":6.503383e-7,"teacher_disagreement_score":0.3301409,"about_ca_system_score_codex":0.000016963697,"about_ca_system_score_gemma":0.00004467567,"threshold_uncertainty_score":0.99968034},"labels":[],"label_agreement":null},{"id":"W2004467358","doi":"10.1016/j.jmp.2014.01.002","title":"The pseudo-transitivity of preference relations: Strict and weak -Ferrers properties","year":2014,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Advanced Algebra and Logic","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Transitive relation; Preference; Mathematics; Mathematical economics; Combinatorics; Statistics","score_opus":0.048548410739758394,"score_gpt":0.28735070579641253,"score_spread":0.23880229505665412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004467358","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16911615,0.00029207478,0.82197344,0.0036662063,0.00015219217,0.00006863484,1.6392751e-7,0.000009802558,0.0047213086],"genre_scores_gemma":[0.9721176,0.000081526036,0.02757939,0.00011914345,0.000029452645,0.0000015454744,1.9580588e-8,0.000003066389,0.00006825056],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989434,0.00022632063,0.00041620922,0.000105475636,0.00017521923,0.00013340013],"domain_scores_gemma":[0.9986453,0.00067445845,0.00027607768,0.00024042222,0.00010424657,0.000059515492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010422852,0.00007471621,0.00021526049,0.00005141121,0.00007734619,0.000024428013,0.0004060149,0.00005342184,0.000006415626],"category_scores_gemma":[0.00059203786,0.000039143353,0.000053202504,0.00011446926,0.00022184898,0.00021443845,0.000043581425,0.0002130675,0.0000072048097],"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":[0.000083546154,0.00022890487,0.000267184,0.000053758267,0.000047048565,0.000003969434,0.0010464233,0.000065369175,0.0040730764,0.92788553,0.0005749712,0.0656702],"study_design_scores_gemma":[0.0005469918,0.0006584126,0.013171494,0.00009828145,0.000019237787,0.0004266235,0.00007383464,0.0069504506,0.0004764884,0.976365,0.0011134512,0.000099782286],"about_ca_topic_score_codex":1.472489e-7,"about_ca_topic_score_gemma":4.903801e-7,"teacher_disagreement_score":0.80300146,"about_ca_system_score_codex":0.000006689833,"about_ca_system_score_gemma":0.000020058473,"threshold_uncertainty_score":0.15962197},"labels":[],"label_agreement":null},{"id":"W2005224827","doi":"10.1016/j.jmp.2013.05.006","title":"A computational-level explanation of the speed of goal inference","year":2013,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Inference; Computer science; Action (physics); Artificial intelligence; Bayesian inference; Bayesian probability; Machine learning; Situational ethics; Computational model; Task (project management); Psychology","score_opus":0.059766806707688226,"score_gpt":0.36593004804817947,"score_spread":0.3061632413404912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005224827","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":[0.96117085,0.000056375222,0.012606644,0.0032344165,0.00042198438,0.00015419927,0.0000036464285,0.0000047159174,0.022347154],"genre_scores_gemma":[0.9923592,0.0000026697014,0.0069581675,0.0003117864,0.000055151228,0.0000014055663,6.096167e-7,0.0000072504245,0.000303741],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9985839,0.00013925602,0.00079394184,0.000093369104,0.00026798816,0.00012155961],"domain_scores_gemma":[0.99831885,0.00046142912,0.00073398347,0.00015839521,0.00027882046,0.00004849941],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00044661234,0.00008464932,0.00031654487,0.00010162043,0.000021486594,0.000005545242,0.00028560468,0.000084267056,0.0028967184],"category_scores_gemma":[0.00035532858,0.00005182561,0.0001273756,0.00013578993,0.00014950862,0.00004958477,0.00003245119,0.00024021181,0.0001445791],"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":[0.0006577631,0.0055574267,0.064309224,0.0003902741,0.0011996818,0.000030430645,0.019719549,0.00077309133,0.023421682,0.76323384,0.078934215,0.041772854],"study_design_scores_gemma":[0.0009838742,0.0002870237,0.8766929,0.00013634784,0.000025312289,0.00020410643,0.00026758577,0.00013847109,0.00012300165,0.120704114,0.00036564513,0.00007164655],"about_ca_topic_score_codex":0.0000033636427,"about_ca_topic_score_gemma":3.0925204e-7,"teacher_disagreement_score":0.81238365,"about_ca_system_score_codex":0.000012297795,"about_ca_system_score_gemma":0.000039480652,"threshold_uncertainty_score":0.99801475},"labels":[],"label_agreement":null},{"id":"W2025902133","doi":"10.1016/j.jmp.2006.10.004","title":"A behavioral condition for Prelec's weighting function on the positive line without assuming","year":2007,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Weighting; Axiom; Context (archaeology); Line (geometry); Function (biology); Mathematics; Expected utility hypothesis; Applied mathematics; Mathematical economics; Medicine; Biology","score_opus":0.23755183170948954,"score_gpt":0.5187104857905608,"score_spread":0.2811586540810712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025902133","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":[0.7470239,0.000013037121,0.24824212,0.001826302,0.00072271394,0.00017719061,0.000005494213,0.000007837119,0.001981416],"genre_scores_gemma":[0.9907545,0.0000014127539,0.0077672144,0.00091308396,0.00038093593,0.0000042198917,0.0000010388258,0.00001529123,0.00016233277],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99732757,0.00014312942,0.001414605,0.00024342278,0.000606016,0.00026525895],"domain_scores_gemma":[0.9925939,0.0053231283,0.0011190425,0.00031260645,0.000537755,0.00011358616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009056961,0.00014113878,0.00042422873,0.00030380834,0.00017576429,0.00012574674,0.00045942908,0.00016064745,0.00038108008],"category_scores_gemma":[0.002645813,0.000076579825,0.00028042495,0.00021029357,0.00012845268,0.00020135027,0.000030929736,0.00039982825,0.00017070146],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039838227,0.002478406,0.0012841257,0.0000099268345,0.0001063621,0.0000857539,0.0014627813,0.00009272573,0.00998208,0.036472883,0.02275108,0.92129004],"study_design_scores_gemma":[0.0013875832,0.0038661421,0.005010853,0.00016636115,0.00014802456,0.0006014525,0.0011001067,0.00091271946,0.0011915702,0.97970635,0.0057161674,0.00019270153],"about_ca_topic_score_codex":3.7722543e-7,"about_ca_topic_score_gemma":0.000002095182,"teacher_disagreement_score":0.94323343,"about_ca_system_score_codex":0.00005712605,"about_ca_system_score_gemma":0.000028944562,"threshold_uncertainty_score":0.417256},"labels":[],"label_agreement":null},{"id":"W2031342274","doi":"10.1016/j.jmp.2009.06.006","title":"Systems Factorial Technology provides new insights on global–local information processing in autism spectrum disorders","year":2009,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Institute of Mental Health","keywords":"Autism; Information processing; Cognitive psychology; Psychology; Cognition; Autism spectrum disorder; Factorial; Task (project management); Computer science; Developmental psychology; Mathematics; Neuroscience","score_opus":0.027005579625185655,"score_gpt":0.344653526169137,"score_spread":0.31764794654395134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031342274","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":[0.43437725,0.0006065553,0.3265911,0.19825618,0.0020443622,0.0016248978,0.0000052877417,0.00023101339,0.036263335],"genre_scores_gemma":[0.998897,0.00005873874,0.00040309096,0.00049894326,0.00010102358,0.0000044561057,2.924357e-7,0.00001048154,0.000025971058],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972921,0.00017845794,0.0010674595,0.00025346124,0.0006765875,0.0005319479],"domain_scores_gemma":[0.99887687,0.00013269995,0.0005254062,0.00027380843,0.000011911957,0.00017931833],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034381522,0.00022437223,0.00050656934,0.0007406048,0.00007933746,0.00010578707,0.0006398133,0.00031007593,0.00004584066],"category_scores_gemma":[0.00070560974,0.00017159198,0.000089228844,0.0010069187,0.00023349337,0.00071515917,0.000043164888,0.00083710806,0.00016811096],"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":[0.00047170056,0.0007731463,0.00014427416,0.00007135159,0.0000057469015,0.00008133431,0.00072427467,0.00025295478,0.00091294246,0.95542276,0.0005781295,0.040561385],"study_design_scores_gemma":[0.001918946,0.0016848646,0.0025224027,0.00019767814,0.0000072887087,0.0005114903,0.00008480753,0.0017180506,0.00039302735,0.98840857,0.0023753992,0.0001774536],"about_ca_topic_score_codex":0.0000057785105,"about_ca_topic_score_gemma":0.000008140698,"teacher_disagreement_score":0.56451976,"about_ca_system_score_codex":0.00024230049,"about_ca_system_score_gemma":0.00022203759,"threshold_uncertainty_score":0.6997318},"labels":[],"label_agreement":null},{"id":"W2033599895","doi":"10.1006/jmps.2001.1406","title":"Equidiscrimination Contours around an Achromatic Colour Are Convex but Not Balanced","year":2002,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Color Science and Applications","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Minkowski space; Convexity; Mathematics; Regular polygon; Achromatic lens; Norm (philosophy); Mathematical analysis; Combinatorics; Geometry; Optics; Physics","score_opus":0.07063346391816529,"score_gpt":0.360878946681351,"score_spread":0.29024548276318574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033599895","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":[0.9428202,0.00001720708,0.03802606,0.005862953,0.00015972575,0.00015303573,0.00000750609,0.000011937369,0.012941412],"genre_scores_gemma":[0.9964637,0.0000029352202,0.0024142168,0.0004714094,0.00027792866,0.0000128366155,0.000001256969,0.000008946244,0.00034676483],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99883646,0.00006598337,0.0005133666,0.00014589552,0.00022298157,0.00021532309],"domain_scores_gemma":[0.99881697,0.00015683383,0.0005025187,0.00023554164,0.00013637071,0.00015177739],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003488375,0.000112681664,0.00033472458,0.00007463635,0.0000883992,0.000049426064,0.00033029003,0.000052875766,0.0018812261],"category_scores_gemma":[0.000038562826,0.00008890632,0.00011035375,0.00012653614,0.00013547103,0.00025072347,0.000019291216,0.00020035762,0.0002305662],"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":[0.00022884535,0.012602493,0.009982327,0.00018959261,0.0004907417,0.00008682307,0.005998719,0.00016381673,0.1446355,0.6922471,0.06417953,0.069194496],"study_design_scores_gemma":[0.006051381,0.0021754694,0.042449452,0.00028225206,0.0003724909,0.00046379838,0.010052072,0.0385119,0.004900858,0.88925046,0.0045982795,0.0008915974],"about_ca_topic_score_codex":0.0000012420251,"about_ca_topic_score_gemma":5.557619e-7,"teacher_disagreement_score":0.19700333,"about_ca_system_score_codex":0.000020908148,"about_ca_system_score_gemma":0.000014786778,"threshold_uncertainty_score":0.9990312},"labels":[],"label_agreement":null},{"id":"W2048940061","doi":"10.1016/j.jmp.2006.01.001","title":"Facets of the linear ordering polytope: A unification for the fence family through weighted graphs","year":2006,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Vehicle Routing Optimization Methods","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Polytope; Mathematics; Fence (mathematics); Combinatorics; Class (philosophy); Unification; Facet (psychology); Inequality; Binary number; Birkhoff polytope; Stability (learning theory); Discrete mathematics; Computer science; Geometry; Arithmetic; Artificial intelligence","score_opus":0.04045050360672561,"score_gpt":0.3367207538973854,"score_spread":0.2962702502906598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048940061","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.094550535,0.00036220683,0.9015638,0.0013945359,0.00036387114,0.00020554922,0.0000027012325,0.000024858684,0.0015318897],"genre_scores_gemma":[0.69152045,0.00007928542,0.30805564,0.00015221765,0.00010576804,0.0000074699133,3.8705485e-7,0.000027546781,0.0000512221],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99883974,0.000089846144,0.0006588428,0.0000772273,0.00017723309,0.00015712171],"domain_scores_gemma":[0.9986625,0.00059451145,0.0002810949,0.00028250588,0.00015800072,0.00002143404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075918855,0.000102704966,0.00023981773,0.00005028175,0.00006375244,0.000011242473,0.00037932096,0.00009458351,0.000021232356],"category_scores_gemma":[0.00021950867,0.00005796071,0.0001416297,0.0002959252,0.000111064124,0.00007184177,0.000017796609,0.00023119403,0.0000029541454],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024392245,0.00087604625,0.0012333866,0.00086369185,0.00060251553,0.0000060773655,0.002734763,0.42948547,0.2913729,0.23897618,0.015437246,0.018167796],"study_design_scores_gemma":[0.0030490365,0.0002909308,0.025764728,0.00039963174,0.00031379252,0.00041964994,0.00042805768,0.6153826,0.019885238,0.32468748,0.008938102,0.00044073875],"about_ca_topic_score_codex":0.0000013069722,"about_ca_topic_score_gemma":4.557959e-7,"teacher_disagreement_score":0.5969699,"about_ca_system_score_codex":0.000017274671,"about_ca_system_score_gemma":0.0000147585515,"threshold_uncertainty_score":0.23635691},"labels":[],"label_agreement":null},{"id":"W2061532330","doi":"10.1006/jmps.2000.1357","title":"Random Relations, Random Utilities, and Random Functions","year":2001,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Probabilistic logic; Complement (music); Mathematics; Random element; Random variable; Measure (data warehouse); Metric (unit); Sample space; Random function; Probability measure; Function (biology); Binary relation; Binary number; Respondent; Discrete mathematics; Statistics; Computer science; Data mining; Arithmetic","score_opus":0.1565933696493799,"score_gpt":0.4396660119605228,"score_spread":0.28307264231114293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061532330","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":[0.7952362,0.00064945396,0.1746764,0.005082765,0.0012009958,0.000178955,0.000006714197,0.000018054554,0.022950474],"genre_scores_gemma":[0.9877407,0.00019933752,0.0066221696,0.00064108754,0.00027978723,0.0000055630153,8.473703e-7,0.000017910088,0.0044926163],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99639714,0.00040784385,0.002019031,0.00029340512,0.00063020014,0.00025237724],"domain_scores_gemma":[0.9910285,0.0071200053,0.00077879336,0.0004722388,0.00036035062,0.0002401226],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0067406525,0.0001702535,0.00090030365,0.0004693206,0.00017659146,0.00018535946,0.00047305206,0.00018897346,0.0043410016],"category_scores_gemma":[0.007366618,0.00010804058,0.0003367862,0.00034555822,0.00028861384,0.00036337168,0.00006141436,0.0004243844,0.0008180021],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.013526063,0.0014986808,0.009051028,0.000012244243,0.00020735007,0.000344939,0.0014408802,0.00023295518,0.0002729344,0.005131359,0.25811967,0.71016186],"study_design_scores_gemma":[0.017539179,0.00030476638,0.0026580805,0.000056789067,0.00010957263,0.0037411442,0.00071595784,0.0009022479,0.0000033996303,0.8558205,0.117979124,0.00016925443],"about_ca_topic_score_codex":0.0000010988523,"about_ca_topic_score_gemma":0.0000030373124,"teacher_disagreement_score":0.8506891,"about_ca_system_score_codex":0.000030138324,"about_ca_system_score_gemma":0.000057341826,"threshold_uncertainty_score":0.99996},"labels":[],"label_agreement":null},{"id":"W2071710319","doi":"10.1016/j.jmp.2015.03.005","title":"In memoriam Patrick Colonel Suppes (1922–2014)","year":2015,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Medical History and Innovations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Philosophy","score_opus":0.12438842983911319,"score_gpt":0.351783299255028,"score_spread":0.2273948694159148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071710319","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":[0.19460881,0.00074228377,0.0042138705,0.042238474,0.026906257,0.0003003222,0.000014143351,0.000038345657,0.7309375],"genre_scores_gemma":[0.95291185,0.000050899107,0.0053797965,0.01260209,0.012697672,0.000014886477,0.000004507474,0.000045688976,0.01629259],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986994,0.000097128206,0.00070780865,0.00008354648,0.00024651847,0.00016557093],"domain_scores_gemma":[0.9990879,0.0001771935,0.00024622778,0.00012887255,0.00021706747,0.00014271587],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010590956,0.000084764004,0.00031627546,0.00022339699,0.000041388983,0.00001792074,0.00020288436,0.0000760677,0.0066479957],"category_scores_gemma":[0.0005614413,0.000060393544,0.00006865067,0.00006345423,0.0002826006,0.00019467395,0.000015648742,0.00034155996,0.00062505924],"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":[0.00005799084,0.0003726406,0.00002894461,0.0000189036,0.000013454449,0.00006155467,0.0061031096,6.10558e-7,0.000010837962,0.31567532,0.6774861,0.00017047867],"study_design_scores_gemma":[0.0008797715,0.0003683166,0.000051530304,0.00002403286,0.000011573551,0.00013565007,0.0007705919,0.000013798901,0.0000029211294,0.27282858,0.7248483,0.00006498338],"about_ca_topic_score_codex":0.000002127671,"about_ca_topic_score_gemma":0.0000112971775,"teacher_disagreement_score":0.75830305,"about_ca_system_score_codex":0.00004221794,"about_ca_system_score_gemma":0.000062798244,"threshold_uncertainty_score":0.9942601},"labels":[],"label_agreement":null},{"id":"W2079803229","doi":"10.1016/j.jmp.2009.04.002","title":"Stochastic dynamics of stimulus encoding in schizophrenia: Theory, testing, and application","year":2009,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Capilano University; Queen's University; Western University","funders":"","keywords":"Encoding (memory); Computer science; Bayesian probability; Cognition; Inference; Bayesian inference; Artificial intelligence; Machine learning; Psychology; Neuroscience","score_opus":0.04094952878878595,"score_gpt":0.33378994618524155,"score_spread":0.2928404173964556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079803229","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":[0.6839996,0.00007812511,0.3054988,0.006141772,0.00013449957,0.00018776135,0.0000025063405,0.000014045882,0.003942911],"genre_scores_gemma":[0.99424654,0.0000055229266,0.0050486377,0.0006388998,0.00004280017,0.0000019583367,4.4101608e-8,0.0000056401495,0.000009953275],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9989361,0.00012362307,0.00046393825,0.00016360634,0.0001815577,0.00013115098],"domain_scores_gemma":[0.9917286,0.007713338,0.00032258948,0.00012183643,0.000068641675,0.000045019457],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00079695677,0.000089720575,0.00030071972,0.00018818962,0.00003641209,0.0000073913398,0.00014599798,0.00005846766,0.000011056946],"category_scores_gemma":[0.019702524,0.0000724478,0.000037711172,0.00023970529,0.00018307936,0.00008282474,0.000026063726,0.00025156484,0.0000047399117],"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":[0.001391634,0.0016814001,0.0008363321,0.0001239691,0.000030509938,0.0000660832,0.0007583688,0.0015964994,0.20137481,0.6955255,0.0003100099,0.09630486],"study_design_scores_gemma":[0.001014089,0.00070563436,0.011341929,0.000093851246,0.000017962224,0.0006953124,0.000049303046,0.013149702,0.00051104196,0.9723352,0.000004441651,0.0000815096],"about_ca_topic_score_codex":2.982646e-7,"about_ca_topic_score_gemma":0.0000011558161,"teacher_disagreement_score":0.31024697,"about_ca_system_score_codex":0.00003393342,"about_ca_system_score_gemma":0.000017686536,"threshold_uncertainty_score":0.98855495},"labels":[],"label_agreement":null},{"id":"W2085008017","doi":"10.1006/jmps.1999.1296","title":"Mathematical Studies of the Information in the Stimulus–Response Matrix","year":2001,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stimulus (psychology); Mathematics; Monotonic function; Mathematical analysis; Cognitive psychology; Psychology","score_opus":0.11174295089504539,"score_gpt":0.4282511150377332,"score_spread":0.31650816414268784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085008017","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":[0.98328847,0.0001253448,0.0026923083,0.012682795,0.00009290404,0.00012646905,0.0000039104793,0.0000032532605,0.0009845227],"genre_scores_gemma":[0.99467385,0.000055670145,0.0041971123,0.00094430946,0.00007289971,0.0000032176401,2.918661e-7,6.556447e-7,0.000051970084],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9972401,0.0011211424,0.0010000218,0.000072165436,0.00039110027,0.00017542246],"domain_scores_gemma":[0.99349445,0.0057362714,0.0004457085,0.00011151621,0.00016762705,0.0000444384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040513896,0.00010499606,0.00043132348,0.000034250384,0.00006689224,0.0000210703,0.0004974678,0.000084767584,0.00047056403],"category_scores_gemma":[0.004741905,0.000025587125,0.00021569336,0.0004692708,0.00024821545,0.000120358454,0.000040163235,0.00027470285,0.000032324228],"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":[0.011035702,0.007992826,0.012289434,0.00059697253,0.0011987285,0.0004151863,0.02307018,0.00060841674,0.16921477,0.42811888,0.024961943,0.32049695],"study_design_scores_gemma":[0.0008322524,0.0012350928,0.18892673,0.00020941217,0.00017649766,0.0013829137,0.007124532,0.00096815027,0.0002250076,0.7914574,0.007264254,0.00019772147],"about_ca_topic_score_codex":7.792294e-7,"about_ca_topic_score_gemma":0.000002125149,"teacher_disagreement_score":0.36333856,"about_ca_system_score_codex":0.000014381272,"about_ca_system_score_gemma":0.0000068142012,"threshold_uncertainty_score":0.56768453},"labels":[],"label_agreement":null},{"id":"W2130029985","doi":"10.1016/s0022-2496(02)00018-4","title":"Functional equations arising in a theory of rank dependence and homogeneous joint receipts","year":2003,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Functional Equations Stability Results","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Commutative property; Associative property; Mathematics; Representation (politics); Pure mathematics; Axiom; Rank (graph theory); Distributivity; Discrete mathematics; Combinatorics; Distributive property; Law","score_opus":0.13323740371873333,"score_gpt":0.3683879671677017,"score_spread":0.2351505634489684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130029985","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.41342795,0.00029034255,0.576557,0.000881642,0.00028627436,0.00022739466,0.0000049031955,0.000010184513,0.008314348],"genre_scores_gemma":[0.9339807,0.000024261952,0.065740064,0.00008940575,0.000038373484,0.000006269328,5.147126e-7,0.0000156083,0.00010477112],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9974285,0.0004972417,0.0013044813,0.00017993011,0.00040218286,0.00018767522],"domain_scores_gemma":[0.9943223,0.0044111954,0.0005667153,0.00026418077,0.00034445888,0.00009114601],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003771872,0.00013514042,0.0004866951,0.00032550297,0.000047746427,0.00001325709,0.00011021324,0.00014290285,0.0007151165],"category_scores_gemma":[0.017399024,0.00011086314,0.00012568526,0.0002679278,0.00021935916,0.00013663595,0.000021748505,0.00036286796,0.00001575225],"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":[0.00038851512,0.0014151263,0.00030214043,0.00019213447,0.00010800515,0.000029734554,0.00088623445,0.00013259526,0.005284502,0.98850095,0.0006192823,0.0021407942],"study_design_scores_gemma":[0.0013080382,0.00022774923,0.0018827486,0.00013247003,0.00005487214,0.0011101253,0.00025611877,0.00025389314,0.00044956242,0.99418616,0.000044717486,0.00009352599],"about_ca_topic_score_codex":6.117467e-7,"about_ca_topic_score_gemma":0.000005203809,"teacher_disagreement_score":0.52055275,"about_ca_system_score_codex":0.000061737555,"about_ca_system_score_gemma":0.000117310374,"threshold_uncertainty_score":0.99087787},"labels":[],"label_agreement":null},{"id":"W2144125453","doi":"10.1016/j.jmp.2015.03.003","title":"Bayesian alternatives to null-hypothesis significance testing for repeated-measures designs","year":2015,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Bayes factor; Statistics; Bayesian probability; Sample size determination; Null hypothesis; Statistical hypothesis testing; Mathematics; Posterior probability; Bayesian inference; Repeated measures design; Bayesian average; Econometrics; Bayesian hierarchical modeling","score_opus":0.6247835408792345,"score_gpt":0.5520142874432188,"score_spread":0.0727692534360157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144125453","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":[0.024946677,0.00013071041,0.9575857,0.0025604893,0.0005530745,0.00041906006,0.0000049517475,0.00002314515,0.01377623],"genre_scores_gemma":[0.27612376,0.0000011745851,0.7222739,0.00087567634,0.00024377294,0.000021267806,5.5527018e-8,0.000027097298,0.00043328683],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9950693,0.0009657572,0.0017472092,0.00044302354,0.001364699,0.0004099869],"domain_scores_gemma":[0.9863609,0.010206716,0.00091855845,0.00053715036,0.0013525126,0.00062416325],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.013810514,0.000227919,0.0008219573,0.00045750142,0.00007655067,0.00015649873,0.0012785251,0.00012867444,0.00016990503],"category_scores_gemma":[0.07202473,0.00015397237,0.00024301621,0.0006664257,0.00018859337,0.00027163973,0.000071201386,0.00024009655,0.00022100855],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0038119573,0.0021507824,0.0022315362,0.000050629507,0.00033154423,0.00031220826,0.0076708705,0.0019192696,0.50716794,0.011461662,0.13923769,0.3236539],"study_design_scores_gemma":[0.0017905039,0.0045038126,0.001064026,0.00013504755,0.000054885524,0.00084200926,0.0017381378,0.00250052,0.024471382,0.95710015,0.0054124575,0.00038707777],"about_ca_topic_score_codex":0.0000012845794,"about_ca_topic_score_gemma":3.9708635e-7,"teacher_disagreement_score":0.9456385,"about_ca_system_score_codex":0.00009081581,"about_ca_system_score_gemma":0.00014225833,"threshold_uncertainty_score":0.93579197},"labels":[],"label_agreement":null},{"id":"W2550773760","doi":"10.1016/j.jmp.2016.10.006","title":"The memory tesseract: Mathematical equivalence between composite and separate storage memory models","year":2016,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Tensor decomposition and applications","field":"Mathematics","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Unification; Computer science; Memory model; Equivalence (formal languages); Storage model; Auxiliary memory; Tensor (intrinsic definition); Computer data storage; Theoretical computer science; Computational model; Artificial intelligence; Mathematics; Parallel computing; Shared memory; Pure mathematics; Programming language","score_opus":0.09840809197825819,"score_gpt":0.40343103365132565,"score_spread":0.3050229416730675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2550773760","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":[0.5415461,0.000310536,0.41984928,0.020506501,0.00016825167,0.00046644968,0.000022551903,0.00007843303,0.017051902],"genre_scores_gemma":[0.9559278,0.00018534616,0.041180454,0.0004896002,0.0003255782,0.000027971844,5.654202e-7,0.000059470476,0.0018032312],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.997327,0.00025728074,0.0013034628,0.00025426815,0.00045968156,0.0003983037],"domain_scores_gemma":[0.99284583,0.0052465172,0.00074982515,0.0006029072,0.00025216374,0.0003027269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016877505,0.00025783342,0.0006876765,0.000114376875,0.00024332742,0.000072260664,0.00059577305,0.00017203449,0.0002736369],"category_scores_gemma":[0.00044108508,0.00013221934,0.00019970002,0.0001359705,0.00051963824,0.00027978452,0.00010829556,0.00039641742,0.00019115001],"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":[0.000257778,0.00116578,0.00010089633,0.0003323438,0.00045873484,0.00009002296,0.0012312133,0.000009929279,0.02843306,0.9218041,0.026337521,0.019778676],"study_design_scores_gemma":[0.0010662497,0.0001469279,0.000405086,0.00023941681,0.00014113536,0.0009683328,0.000104589206,0.00029063312,0.0006871999,0.99523646,0.0005256799,0.00018831967],"about_ca_topic_score_codex":1.448065e-7,"about_ca_topic_score_gemma":2.4396786e-7,"teacher_disagreement_score":0.41438168,"about_ca_system_score_codex":0.000044921337,"about_ca_system_score_gemma":0.00003283103,"threshold_uncertainty_score":0.53917485},"labels":[],"label_agreement":null},{"id":"W2626015688","doi":"10.1016/j.jmp.2019.01.002","title":"Interval orders, semiorders and ordered groups","year":2019,"lang":"en","type":"preprint","venue":"Journal of Mathematical Psychology","topic":"Geometric and Algebraic Topology","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Royal Military College of Canada; University of Calgary","funders":"","keywords":"Abelian group; Group (periodic table); Mathematics; Order (exchange); Combinatorics; Interval (graph theory); Cyclic group; Discrete mathematics; Physics; Quantum mechanics","score_opus":0.07040867874785793,"score_gpt":0.38586191277841697,"score_spread":0.315453234030559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2626015688","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":[0.74806666,0.0017875073,0.21686159,0.015049649,0.004072666,0.00077711465,0.000017647246,0.00007852545,0.013288667],"genre_scores_gemma":[0.91444784,0.00049483706,0.081557095,0.0014226775,0.0006573456,0.000011939561,0.000004338738,0.00012725202,0.0012766655],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99650407,0.00033442973,0.0017685256,0.0004573337,0.00044302328,0.00049263734],"domain_scores_gemma":[0.9951753,0.0019326241,0.0016431212,0.00071051746,0.00029824517,0.00024016867],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017724115,0.00047006182,0.00188964,0.00068666716,0.00004322871,0.00005094339,0.00077325624,0.00094971916,0.0012826003],"category_scores_gemma":[0.0030500782,0.0003631972,0.00043275935,0.00022798697,0.0003895897,0.00007637197,0.0006083051,0.0020909267,0.00010434035],"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":[0.0010243786,0.004249791,0.0019471041,0.008307474,0.003813488,0.00074074283,0.005073058,0.00004226132,0.00026038295,0.5914019,0.36519605,0.017943399],"study_design_scores_gemma":[0.0016412016,0.000475758,0.0003720892,0.00042092407,0.00029835285,0.0019779196,0.00038805127,0.00013915941,0.0000083355435,0.9910257,0.0029093733,0.00034316134],"about_ca_topic_score_codex":0.0000018021497,"about_ca_topic_score_gemma":0.0000019784122,"teacher_disagreement_score":0.3996238,"about_ca_system_score_codex":0.000053351414,"about_ca_system_score_gemma":0.00012657836,"threshold_uncertainty_score":0.999882},"labels":[],"label_agreement":null},{"id":"W2788034503","doi":"10.1016/j.jmp.2018.07.005","title":"A better (Bayesian) interval estimate for within-subject designs","year":2018,"lang":"en","type":"preprint","venue":"Journal of Mathematical Psychology","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Credible interval; Bayesian probability; Normalization (sociology); Mathematics; Heteroscedasticity; Interval estimation; Statistics; Confidence interval; Subject (documents); Interval (graph theory); Point estimation; Prior probability; Prediction interval; Tolerance interval; Econometrics; Computer science; Combinatorics","score_opus":0.34467201804378583,"score_gpt":0.5614297589589514,"score_spread":0.2167577409151656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788034503","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":[0.04000939,0.0002095439,0.94622016,0.0029627874,0.004206044,0.0006545382,0.000024707233,0.00002882353,0.005684007],"genre_scores_gemma":[0.06444078,0.000005784612,0.93214935,0.001811729,0.0010552121,0.000047028425,0.0000015797343,0.000080494814,0.00040806417],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99140227,0.0014628371,0.004010031,0.0008696213,0.0016755944,0.00057966495],"domain_scores_gemma":[0.98803306,0.005631852,0.0034167748,0.0013413052,0.0011786773,0.00039833417],"candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.019163288,0.00055186165,0.0021106058,0.0007906914,0.00009933374,0.00039619155,0.003014611,0.00080601854,0.0021251538],"category_scores_gemma":[0.01238506,0.00036629563,0.0011995798,0.00029947897,0.0006821703,0.00025004914,0.00069931237,0.0013545121,0.00042853184],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.012522932,0.0062981676,0.0010835486,0.0012261339,0.0033865692,0.0011163426,0.013897225,0.0008982012,0.051359773,0.02763585,0.7806614,0.09991386],"study_design_scores_gemma":[0.0011937913,0.0020311025,0.00019292187,0.0004070546,0.00017594825,0.0012487187,0.00012843484,0.007709333,0.0036013294,0.9816994,0.0012222284,0.00038972037],"about_ca_topic_score_codex":5.009643e-7,"about_ca_topic_score_gemma":4.802455e-7,"teacher_disagreement_score":0.9540636,"about_ca_system_score_codex":0.00012568159,"about_ca_system_score_gemma":0.00022042239,"threshold_uncertainty_score":0.9998789},"labels":[],"label_agreement":null},{"id":"W3036630085","doi":"10.1016/j.jmp.2020.102417","title":"Applications of the bias–variance decomposition to human forecasting","year":2020,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Bootstrapping (finance); Computer science; Variance (accounting); Process (computing); Artificial intelligence; Machine learning; Human error; Econometrics; Through-the-lens metering; Statistics; Lens (geology); Mathematics; Economics","score_opus":0.35155017507027514,"score_gpt":0.4992593955194495,"score_spread":0.14770922044917434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036630085","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08881295,0.000012652057,0.8783732,0.025121426,0.00004828615,0.000275829,0.0000056077083,0.000012679543,0.007337373],"genre_scores_gemma":[0.90542674,7.818387e-7,0.0926939,0.0016737068,0.00013890705,0.000014876319,1.6229059e-7,0.00000730034,0.00004361496],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980298,0.00010433838,0.0011015434,0.00015813645,0.00049131125,0.00011483677],"domain_scores_gemma":[0.9975442,0.0007113151,0.00086569105,0.0003794743,0.0003728033,0.00012651272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015208661,0.000073442134,0.0002826096,0.00008981653,0.000103774495,0.000031751002,0.0010416623,0.000057846628,0.00019559663],"category_scores_gemma":[0.001972857,0.000042574524,0.00016840962,0.0007854363,0.00010602617,0.000060312486,0.000111573,0.00020203133,0.000060855262],"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":[0.0001466743,0.0011093607,0.0024178051,0.00008987268,0.00007802623,0.000008075727,0.00298464,0.0005455715,0.08481924,0.60359573,0.17559029,0.12861466],"study_design_scores_gemma":[0.0002628952,0.00035921135,0.002259838,0.000077523306,0.000026614187,0.00021860996,0.00011833081,0.0017729169,0.0021714256,0.96383464,0.028806387,0.00009161992],"about_ca_topic_score_codex":4.1895856e-7,"about_ca_topic_score_gemma":5.231692e-7,"teacher_disagreement_score":0.8166138,"about_ca_system_score_codex":0.000011115393,"about_ca_system_score_gemma":0.000020444957,"threshold_uncertainty_score":0.23618364},"labels":[],"label_agreement":null},{"id":"W4253505002","doi":"10.1016/j.jmp.2017.10.003","title":"On Fishburn’s questions about finite two-dimensional additive measurement, II","year":2017,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"graph theory and CDMA systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Cartesian product; Combinatorics; Order (exchange); Mathematics; Product (mathematics); Sequence (biology); Set (abstract data type); Representation (politics); Discrete mathematics; Finite set; Mathematical analysis; Computer science; Geometry","score_opus":0.040708956094964305,"score_gpt":0.31716307318911463,"score_spread":0.27645411709415035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253505002","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":[0.70424205,0.00072454236,0.03385202,0.003066466,0.006362501,0.00040857436,0.00006158542,0.0001621327,0.25112015],"genre_scores_gemma":[0.9986203,0.0000117238615,0.00071626384,0.00022650267,0.00026466823,0.0000062383456,5.543725e-7,0.00002138438,0.00013237966],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99872243,0.0000919223,0.0005246876,0.0001052854,0.000343205,0.00021248417],"domain_scores_gemma":[0.9987642,0.00023995327,0.00027541808,0.000395836,0.00018385658,0.00014071718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010310904,0.0001511423,0.00035171362,0.0001259582,0.00024323635,0.000037245354,0.0003547463,0.00010642178,0.0006192417],"category_scores_gemma":[0.00079146994,0.00011784634,0.00016808875,0.000035558394,0.00013116548,0.00013477098,0.000024994364,0.00042360724,0.00021417438],"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":[0.00078906654,0.00251262,0.0001619437,0.00035271054,0.0019363892,0.00073844637,0.0019548675,0.01689151,0.020217573,0.6587527,0.28028983,0.01540239],"study_design_scores_gemma":[0.003636765,0.0011439826,0.0066169216,0.0016401971,0.00015337339,0.0011793011,0.00005017062,0.0037826046,0.0009439888,0.96997464,0.010399194,0.00047885426],"about_ca_topic_score_codex":3.6983735e-7,"about_ca_topic_score_gemma":0.0000015006649,"teacher_disagreement_score":0.311222,"about_ca_system_score_codex":0.000041654715,"about_ca_system_score_gemma":0.000014972781,"threshold_uncertainty_score":0.6780262},"labels":[],"label_agreement":null},{"id":"W4281924738","doi":"10.1016/j.jmp.2022.102677","title":"Chaining models of serial recall can produce positional errors","year":2022,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Domain Adaptation and Few-Shot Learning","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chaining; Computer science; Serial position effect; Recall; Associative property; Clearance; Content-addressable memory; Arithmetic; Artificial intelligence; Algorithm; Natural language processing; Cognitive psychology; Psychology; Free recall; Mathematics","score_opus":0.0634245002656686,"score_gpt":0.327111285839967,"score_spread":0.2636867855742984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281924738","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1265389,0.00007191316,0.8483862,0.013563061,0.0010686823,0.00012458628,0.000004181253,0.000027672082,0.010214807],"genre_scores_gemma":[0.8685845,0.0000033775118,0.13003737,0.0011002707,0.0001208429,0.0000049148284,9.993424e-7,0.000009599024,0.0001381441],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982466,0.00028035455,0.00063747074,0.00016492874,0.00049099344,0.00017964854],"domain_scores_gemma":[0.9988316,0.00017359333,0.0005312236,0.00022704166,0.00013905691,0.000097484466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001487667,0.000085361324,0.00028096634,0.00018397706,0.000098569995,0.00001779569,0.00065230613,0.00003867012,0.00029306326],"category_scores_gemma":[0.00015342828,0.00007564312,0.00011304815,0.0002443396,0.00006208142,0.00017608117,0.00014103783,0.00040458134,0.0000045275447],"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":[0.00039071438,0.0011931799,0.00005209919,0.00006330416,0.00014516778,0.0001740327,0.011806866,0.046697196,0.009213658,0.9148556,0.0049427906,0.0104653705],"study_design_scores_gemma":[0.0031872087,0.0019484623,0.00093407545,0.00007794505,0.0000322775,0.0045128297,0.0006970776,0.13344876,0.00024365864,0.8518465,0.0027598178,0.00031138005],"about_ca_topic_score_codex":5.657087e-7,"about_ca_topic_score_gemma":1.8916677e-7,"teacher_disagreement_score":0.7420456,"about_ca_system_score_codex":0.000038622595,"about_ca_system_score_gemma":0.0000962356,"threshold_uncertainty_score":0.32088372},"labels":[],"label_agreement":null},{"id":"W4315780910","doi":"10.1016/j.jmp.2022.102741","title":"A test of attribute normalization via a double decoy effect","year":2023,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Decoy; Normalization (sociology); Computer science; Econometrics; Logit; Mathematics; Statistics; Chemistry","score_opus":0.12140332948947001,"score_gpt":0.30694643257464804,"score_spread":0.18554310308517802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315780910","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":[0.94582325,0.00013902542,0.046966165,0.0007324195,0.00029327,0.00012105259,0.000012171641,0.000010283823,0.0059023644],"genre_scores_gemma":[0.9986254,0.00010020133,0.00087595027,0.000116368035,0.00006361357,0.000004590644,0.0000051717616,0.0000130587405,0.00019567538],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876034,0.000017693505,0.0009217421,0.00011246162,0.000037452257,0.00015031635],"domain_scores_gemma":[0.99885327,0.00022258238,0.00070523995,0.00014728664,0.000016404505,0.00005522147],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014982499,0.00007987344,0.0004221572,0.00021508506,0.000022809823,0.00000765063,0.00014282452,0.0000919398,0.0008016851],"category_scores_gemma":[0.00017907949,0.00007554783,0.00013327779,0.00017021758,0.00005512154,0.00013128447,0.00002592404,0.000100859455,0.0015628593],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002673351,0.0010786965,0.9000233,0.00045415625,0.0003138697,0.00002966187,0.00089932245,0.0010386019,0.0033515599,0.076005176,0.013667725,0.0028706195],"study_design_scores_gemma":[0.007183923,0.0022164248,0.6481163,0.000113302776,0.000065735934,0.00033951478,0.000060030452,0.007923422,0.0018575549,0.3291424,0.002631611,0.00034979085],"about_ca_topic_score_codex":0.0000015236859,"about_ca_topic_score_gemma":3.9285533e-7,"teacher_disagreement_score":0.2531372,"about_ca_system_score_codex":0.000041893858,"about_ca_system_score_gemma":0.0000043496466,"threshold_uncertainty_score":0.99921453},"labels":[],"label_agreement":null},{"id":"W4377018020","doi":"10.1016/j.jmp.2023.102774","title":"Modelling constituent order despite symmetric associations in memory","year":2023,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Permutation (music); Associative property; Set (abstract data type); Symmetry (geometry); Function (biology); Computer science; Order (exchange); Convolution (computer science); Pairing; Recall; Position (finance); Artificial intelligence; Mathematics; Theoretical computer science; Pure mathematics; Psychology; Cognitive psychology; Artificial neural network; Physics","score_opus":0.1464476980063901,"score_gpt":0.3923914135607768,"score_spread":0.24594371555438668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377018020","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":[0.9348382,0.00011369203,0.03184042,0.0037997882,0.000638505,0.00014914034,0.000003850127,0.000038566028,0.028577838],"genre_scores_gemma":[0.9947515,0.00024608787,0.0032249377,0.001458411,0.0000852239,0.0000042872502,2.1635613e-7,0.000011248365,0.00021810073],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99844784,0.00012069078,0.00069823343,0.00016001216,0.00032042418,0.00025279305],"domain_scores_gemma":[0.99841857,0.00092535204,0.0003354039,0.00013067527,0.00010449802,0.00008552109],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010560963,0.00008900166,0.0002981592,0.0005444597,0.000056178505,0.00002803248,0.00028311557,0.000086451655,0.00021167603],"category_scores_gemma":[0.003047915,0.00006796201,0.000071456205,0.0015064415,0.00010774631,0.00018623642,0.000029695404,0.00031477425,0.00034822963],"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":[0.00040393192,0.004428163,0.00346703,0.00083723606,0.00014795296,0.0026912035,0.006161373,0.31699815,0.09671466,0.5213758,0.026821569,0.019952945],"study_design_scores_gemma":[0.0031304457,0.00059955457,0.0020512878,0.00034292781,0.00006764543,0.0011268343,0.0005138658,0.14619952,0.006893561,0.83515775,0.0034077312,0.00050888845],"about_ca_topic_score_codex":7.7655034e-7,"about_ca_topic_score_gemma":3.4535793e-7,"teacher_disagreement_score":0.31378195,"about_ca_system_score_codex":0.000028622668,"about_ca_system_score_gemma":0.000059099846,"threshold_uncertainty_score":0.44759035},"labels":[],"label_agreement":null},{"id":"W4379203875","doi":"10.1016/j.jmp.2023.102790","title":"An illustrated guide to context effects","year":2023,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Context (archaeology); Stochastic dominance; Mathematical economics; Computer science; Dominance (genetics); Similarity (geometry); Context effect; Aggregate (composite); Simple (philosophy); Discrete choice; Econometrics; Mathematics; Artificial intelligence; Epistemology","score_opus":0.13067957036731295,"score_gpt":0.3382534411631645,"score_spread":0.20757387079585157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379203875","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":[0.95266014,0.00009217148,0.02942817,0.0026868274,0.00053176406,0.0001308612,0.0000065433483,0.000020116051,0.0144434],"genre_scores_gemma":[0.9942747,0.00003816839,0.0030214817,0.0019387057,0.00012318716,0.0000052267605,0.000002278811,0.000016680498,0.00057960924],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998821,0.000027330669,0.0007801139,0.00015242303,0.00003095901,0.0001881436],"domain_scores_gemma":[0.9992305,0.00010594833,0.00030568498,0.00019471729,0.000014298233,0.00014885524],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011717505,0.00008367207,0.00035554374,0.00021480417,0.000027730342,0.000017932194,0.00019996073,0.00008707031,0.0009258414],"category_scores_gemma":[0.00020134427,0.00008186963,0.000085387226,0.00013795627,0.000039830276,0.00013523933,0.00001754605,0.000116788455,0.007916224],"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":[0.00022235203,0.0015218613,0.05086199,0.00021092032,0.00040628968,0.00018138946,0.0029956296,0.001472273,0.0061746025,0.64862883,0.26459885,0.022724994],"study_design_scores_gemma":[0.0028272488,0.002030621,0.39208305,0.0000805445,0.000024843135,0.00022180549,0.000436568,0.002870801,0.0003646719,0.5614023,0.03724699,0.0004105304],"about_ca_topic_score_codex":0.0000020175605,"about_ca_topic_score_gemma":7.710769e-7,"teacher_disagreement_score":0.34122106,"about_ca_system_score_codex":0.000052737636,"about_ca_system_score_gemma":0.000005288995,"threshold_uncertainty_score":0.9999874},"labels":[],"label_agreement":null},{"id":"W4385370670","doi":"10.1016/j.jmp.2023.102802","title":"Sparse attentional subsetting of item features and list-composition effects on recognition memory","year":2023,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Women and Children’s Health Research Institute; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Composition (language); Pattern recognition (psychology); Cognitive psychology; Artificial intelligence; Psychology","score_opus":0.07396517940480477,"score_gpt":0.3589691677338553,"score_spread":0.2850039883290505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385370670","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":[0.99506366,0.000043736203,0.00022281615,0.0015238536,0.0002792147,0.00008618164,0.0000034737234,0.000014569632,0.0027625063],"genre_scores_gemma":[0.9980231,0.00007807796,0.00062836794,0.0010552504,0.00014810568,0.000002733201,9.830839e-7,0.000008123297,0.0000552939],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988769,0.00014910339,0.0004130412,0.00015175619,0.00027382275,0.0001353269],"domain_scores_gemma":[0.9980733,0.0013365736,0.00036994176,0.000085292624,0.00006977296,0.00006514035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005895659,0.00008556306,0.00023551297,0.00018834374,0.000056784673,0.000018556104,0.00011918262,0.00007259152,0.0001000898],"category_scores_gemma":[0.0011914625,0.00006313558,0.00007332346,0.0001994897,0.000110281,0.0001297895,0.000018631188,0.00020963972,0.000057461002],"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":[0.00035362502,0.0003069567,0.00018226169,0.00072466186,0.000020173122,0.0001515686,0.00031578253,0.000013320144,0.96613216,0.0028480184,0.0040316675,0.024919797],"study_design_scores_gemma":[0.002220461,0.0021073793,0.03858644,0.0016029831,0.00008833946,0.003663646,0.00018068607,0.0004425028,0.61133033,0.33937034,0.00013609088,0.00027079077],"about_ca_topic_score_codex":1.7613038e-7,"about_ca_topic_score_gemma":8.2607606e-8,"teacher_disagreement_score":0.35480183,"about_ca_system_score_codex":0.0000066021767,"about_ca_system_score_gemma":0.000009807585,"threshold_uncertainty_score":0.25745943},"labels":[],"label_agreement":null},{"id":"W4400081750","doi":"10.1016/j.jmp.2024.102867","title":"On the multiplicative inequality","year":2024,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Mathematical Inequalities and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Université de Montréal; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Multiplicative function; Inequality; Mathematics; Mathematical economics; Computer science; Calculus (dental); Medicine; Mathematical analysis","score_opus":0.22650474817765523,"score_gpt":0.4815627716894857,"score_spread":0.2550580235118305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400081750","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16360307,0.00031423703,0.65229875,0.07557132,0.00067973457,0.0007664124,0.000029069737,0.00017070852,0.10656672],"genre_scores_gemma":[0.9720392,0.000032600612,0.023559505,0.0024277142,0.00042718064,0.000067245426,6.477431e-7,0.00005420169,0.0013916855],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99784464,0.0002427376,0.0010826237,0.00018660676,0.00040187148,0.00024149781],"domain_scores_gemma":[0.98903084,0.009855191,0.00029378053,0.00055472925,0.00014683117,0.000118635166],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024365385,0.00018336264,0.0004461657,0.00010536968,0.00007827252,0.00006612394,0.0005012564,0.00011946505,0.0022824544],"category_scores_gemma":[0.0031814042,0.000091364636,0.00030410668,0.00026492996,0.00021612826,0.000070226684,0.000047126858,0.0006256507,0.00052466686],"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":[0.000019633007,0.00036814966,7.9530014e-7,0.00017375212,0.00008977088,0.000013859023,0.0006453638,3.6734318e-7,0.00022822154,0.91729546,0.08008585,0.0010787682],"study_design_scores_gemma":[0.00016277816,0.00017668378,0.000014724207,0.00026482,0.00005667902,0.00020102828,0.0002336313,0.0005656187,0.00017820385,0.9888453,0.009198843,0.0001017005],"about_ca_topic_score_codex":2.6786978e-7,"about_ca_topic_score_gemma":2.0879563e-7,"teacher_disagreement_score":0.80843616,"about_ca_system_score_codex":0.000036287347,"about_ca_system_score_gemma":0.000033306635,"threshold_uncertainty_score":0.99862957},"labels":[],"label_agreement":null},{"id":"W4401448206","doi":"10.1016/j.jmp.2024.102868","title":"Measuring a thought","year":2024,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Evolutionary Psychology and Human Behavior","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Cognitive science; Psychology","score_opus":0.12943096761110995,"score_gpt":0.41832290992430504,"score_spread":0.2888919423131951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401448206","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":[0.38391745,0.016547928,0.059749275,0.0129054915,0.015622526,0.0003205794,0.000010327451,0.00026162865,0.5106648],"genre_scores_gemma":[0.9808893,0.000044865228,0.0052083405,0.0010237088,0.0014180609,0.000016582211,9.786327e-7,0.000055109605,0.01134301],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9980476,0.00022689368,0.00085116964,0.0002700201,0.0002553217,0.0003489967],"domain_scores_gemma":[0.9988476,0.00036686508,0.00017368747,0.00035858856,0.00010014689,0.00015308723],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012540533,0.00017721526,0.0004035561,0.000399783,0.000060692808,0.00003174264,0.00039554387,0.0002742679,0.015206577],"category_scores_gemma":[0.00007762876,0.00013506477,0.00031007663,0.00023212064,0.0002461163,0.00014957113,0.00002592149,0.0008081176,0.0045271358],"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":[0.00027436472,0.0011255099,0.0005204249,0.000088301895,0.0004307874,0.0023094278,0.0022940526,0.0000011990726,0.0014844715,0.76382136,0.2126396,0.015010517],"study_design_scores_gemma":[0.0023726872,0.0016330552,0.05005955,0.0006030961,0.0005162051,0.0391911,0.0005637479,0.000032092037,0.000061949286,0.59574735,0.30865353,0.00056566607],"about_ca_topic_score_codex":2.547381e-7,"about_ca_topic_score_gemma":3.4473229e-7,"teacher_disagreement_score":0.59697187,"about_ca_system_score_codex":0.000037809892,"about_ca_system_score_gemma":0.00003539607,"threshold_uncertainty_score":0.99624795},"labels":[],"label_agreement":null},{"id":"W4407259673","doi":"10.1016/j.jmp.2025.102902","title":"Probabilistic models of delay discounting: “Fixed-endpoint” psychometric curves improve plausibility and performance","year":2025,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Decision-Making and Behavioral Economics","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Baycrest Hospital; McMaster University; Toronto Rehabilitation Institute; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Delay discounting; Discounting; Probabilistic logic; Computer science; Econometrics; Mathematics; Statistics; Economics","score_opus":0.142699480612111,"score_gpt":0.44354796999608126,"score_spread":0.30084848938397024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407259673","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":[0.9601753,0.00060570054,0.03177557,0.0011623218,0.00066214585,0.00018178986,0.000009755612,0.000006718154,0.0054206946],"genre_scores_gemma":[0.9931559,0.000191331,0.0060892203,0.00033538556,0.00003570884,0.000003147335,2.3529121e-7,0.000008155473,0.00018093747],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99622095,0.00016025755,0.0023493804,0.0003883042,0.0006438015,0.00023733759],"domain_scores_gemma":[0.99502236,0.0024264604,0.0011859502,0.0006607214,0.00058384903,0.00012065854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0065926625,0.00017559247,0.00090298906,0.00073434936,0.00006324166,0.0000771226,0.00081377686,0.00014733651,0.00020347054],"category_scores_gemma":[0.005830771,0.00011078766,0.00021254705,0.0008702748,0.00038165582,0.0004356518,0.00014323641,0.00038690513,0.000022911412],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017050597,0.0038248983,0.025110561,0.0010677197,0.0001858533,0.000030228788,0.0007260345,0.00043041274,0.0007847331,0.026640775,0.020247983,0.9192457],"study_design_scores_gemma":[0.00070661167,0.00053753244,0.016970193,0.00039427995,0.00007506131,0.00015294524,0.000107616834,0.0064556412,0.000050763265,0.9740821,0.00034015055,0.00012708381],"about_ca_topic_score_codex":9.3082906e-7,"about_ca_topic_score_gemma":0.000001443233,"teacher_disagreement_score":0.94744134,"about_ca_system_score_codex":0.000038609574,"about_ca_system_score_gemma":0.00009177579,"threshold_uncertainty_score":0.6980399},"labels":[],"label_agreement":null},{"id":"W4408809445","doi":"10.1016/j.jmp.2025.102919","title":"An entropy model of decision uncertainty","year":2025,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","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":"York University","funders":"National Eye Institute; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Computer science; Econometrics; Artificial intelligence; Mathematics","score_opus":0.1731660354925851,"score_gpt":0.47394142971870923,"score_spread":0.3007753942261241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408809445","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":[0.9593258,0.000040985793,0.03474465,0.0021751772,0.00047378754,0.0000834424,0.00000419695,0.000011395271,0.0031405545],"genre_scores_gemma":[0.9923702,0.00006064552,0.005413199,0.0019559914,0.000034036893,0.0000026626858,7.0640795e-8,0.000006317585,0.00015690907],"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9984838,0.00012734828,0.0007557212,0.00020932076,0.00022945514,0.00019435532],"domain_scores_gemma":[0.9987886,0.0004118219,0.00032213598,0.00028451282,0.00011556874,0.00007734197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037259603,0.00012290581,0.00045266165,0.00019589446,0.00005234195,0.0000085601005,0.00047635695,0.000106332984,0.00012948015],"category_scores_gemma":[0.0004963193,0.00007923053,0.00015507064,0.00021404098,0.00034359645,0.00011266192,0.000043829634,0.00028874143,0.00001934935],"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":[0.00061817566,0.0014895253,0.00027995268,0.000025818787,0.000014836132,0.000053072075,0.00012188251,0.000428526,0.95709735,0.023855004,0.0059313,0.01008453],"study_design_scores_gemma":[0.0018280415,0.0011236062,0.000830378,0.00013303362,0.00008929116,0.00032728747,0.00006681472,0.0034922769,0.07686946,0.9146804,0.0004180105,0.00014135771],"about_ca_topic_score_codex":2.2805564e-7,"about_ca_topic_score_gemma":3.122153e-7,"teacher_disagreement_score":0.89082545,"about_ca_system_score_codex":0.000014640061,"about_ca_system_score_gemma":0.000023847237,"threshold_uncertainty_score":0.32309273},"labels":[],"label_agreement":null},{"id":"W4417497988","doi":"10.1016/j.jmp.2025.102951","title":"Corrigendum to “An entropy model of decision uncertainty” [Journal of Mathematical Psychology 125 (2025), 102919]","year":2025,"lang":"en","type":"article","venue":"Journal of Mathematical Psychology","topic":"Statistical Mechanics and Entropy","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":"York University","funders":"National Eye Institute","keywords":"Entropy (arrow of time); Mathematical psychology; Mathematical model; Calculus (dental)","score_opus":0.04855540221737699,"score_gpt":0.3895608181032872,"score_spread":0.3410054158859102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417497988","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0904574,0.0000576997,0.9019444,0.0015318373,0.0012657214,0.00016453571,0.000027037859,0.000005093589,0.004546291],"genre_scores_gemma":[0.8205253,0.000023325621,0.17733268,0.0011689006,0.0004016864,0.00000928453,0.0000017737888,0.00003916859,0.00049785693],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99626356,0.00018851609,0.0022963786,0.00026742622,0.00052716304,0.00045693666],"domain_scores_gemma":[0.9965814,0.00056924537,0.0012259969,0.0005108618,0.00069203787,0.0004204693],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012753101,0.0002868625,0.0013137262,0.0004441181,0.000055415585,0.00003074677,0.000806043,0.00018977436,0.003218876],"category_scores_gemma":[0.0005504044,0.00021140843,0.00043094577,0.00031918703,0.0001497759,0.000112774316,0.000093735995,0.0006388593,0.00009723531],"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":[0.0010917572,0.0025082561,0.00016782463,0.00007812939,0.00032805113,0.000039187293,0.00024534416,0.0005930106,0.0046076993,0.9278072,0.04477213,0.017761422],"study_design_scores_gemma":[0.0023371244,0.0011723377,0.00022894358,0.0003785798,0.00022342331,0.000112500886,0.00023238744,0.028675815,0.000360805,0.9647447,0.0013605112,0.00017288972],"about_ca_topic_score_codex":0.0000011738421,"about_ca_topic_score_gemma":2.1078606e-7,"teacher_disagreement_score":0.7300679,"about_ca_system_score_codex":0.000046199897,"about_ca_system_score_gemma":0.00014549651,"threshold_uncertainty_score":0.99769235},"labels":[],"label_agreement":null}]}