{"id":"W4213318394","doi":"10.7202/1000793ar","title":"Cumulative Index","year":2010,"lang":"en","type":"article","venue":"McGill Law Journal","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009535903,0.001143166,0.00114281,0.01150258,0.002075248,0.007116952,0.001663724,0.001333189,0.4793586],"category_scores_gemma":[0.01661496,0.0002647566,0.0006241796,0.01068307,0.000849875,0.003570931,0.001984627,0.001762428,0.3499838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001911775,"about_ca_system_score_gemma":0.00239617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001792521,"about_ca_topic_score_gemma":0.002505373,"domain_scores_codex":[0.9982584,0.0001264837,0.0001007828,0.0003146401,0.001026326,0.000173402],"domain_scores_gemma":[0.9920087,0.001008453,0.0004343353,0.001490253,0.003504516,0.001553727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009984028,0.00007775316,0.001303044,0.0002288394,0.00001477031,0.00005900427,0.00006564905,0.0005293118,0.0004301933,0.06848016,0.708333,0.2203784],"study_design_scores_gemma":[0.00001685308,0.00004093996,0.002176404,0.0001084888,0.00001371654,0.0001721448,0.00006105094,0.0007072634,0.0003269992,0.05025234,0.9461032,0.00002071802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003640978,0.002756384,0.01007273,0.002903435,0.00604032,0.0002574418,0.02141671,0.002011587,0.9509004],"genre_scores_gemma":[0.04477154,0.004962714,0.003933174,0.001010978,0.004893072,0.0003729821,0.02283487,0.0010355,0.9161852],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5206414,"threshold_uncertainty_score":0.7426318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04107253690065777,"score_gpt":0.2237001291058561,"score_spread":0.1826275922051983,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}