{"id":"W2134002390","doi":"10.32870/ac.v22i2.48904","title":"La loi généralisée de appariement: Une simulation de Monte-Carlo","year":2014,"lang":"fr","type":"article","venue":"Acta comportamentalia.","topic":"Assembly Line Balancing Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006410624,0.0003826061,0.0003766865,0.0001108262,0.000135337,0.0001549918,0.0002708735,0.0003265895,0.0001459534],"category_scores_gemma":[0.00009600032,0.0005066436,0.0001273371,0.0003281208,0.00008830053,0.0004142751,0.00008795948,0.0003582654,0.00008750243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008592029,"about_ca_system_score_gemma":0.00007951505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001822898,"about_ca_topic_score_gemma":0.0002981488,"domain_scores_codex":[0.9978281,0.0002266138,0.0005858653,0.0003600084,0.0003133685,0.0006860155],"domain_scores_gemma":[0.9987386,0.0002727692,0.0002090437,0.0004761033,0.00005678586,0.0002466448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001737453,0.0001648059,0.03929348,0.0001997009,0.0001255917,0.00001893648,0.001429586,0.942561,0.003887636,0.00167168,0.007675557,0.002954706],"study_design_scores_gemma":[0.000844863,0.00005845133,0.01451002,0.0002172683,0.0001409806,0.00002299942,0.0001923959,0.886603,0.001692088,0.0002755726,0.09500443,0.0004379463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7762382,0.0006977857,0.2067057,0.002338124,0.001365546,0.0005211405,0.00004554186,0.0007159208,0.01137198],"genre_scores_gemma":[0.9798275,0.000112056,0.01780642,0.0003166239,0.0004579892,0.00002719374,0.0001469098,0.0001283196,0.001177023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2035892,"threshold_uncertainty_score":0.9997385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008406061193834996,"score_gpt":0.2463206113853349,"score_spread":0.2379145501914999,"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."}}