{"id":"W2136706126","doi":"10.7202/803042ar","title":"Modèle de régression avec variables d’écart","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Tobit model; Probit; Section (typography); Probit model; Mathematics; Econometrics; Simple (philosophy); Regression; Statistics; Applied mathematics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005866992,0.0001588072,0.0002858017,0.00004077949,0.00006923734,0.0000540482,0.0001848962,0.0001454573,0.0005820157],"category_scores_gemma":[0.001883009,0.0001326611,0.00006279539,0.00006094598,0.00003576772,0.0000845758,0.00003369336,0.0001706952,0.00004155434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006970403,"about_ca_system_score_gemma":0.0000744122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002139209,"about_ca_topic_score_gemma":0.000003696476,"domain_scores_codex":[0.9989222,0.0001711452,0.0003145498,0.0002343956,0.00005002811,0.0003076725],"domain_scores_gemma":[0.9980013,0.00137928,0.00009917474,0.0003287768,0.00004239724,0.0001491114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002314848,0.0000788732,0.0001004863,0.00002008836,0.000009040989,0.000005701404,0.0004597069,0.000005076833,0.002722858,0.9686683,0.001633738,0.02627299],"study_design_scores_gemma":[0.000214025,0.00009454196,0.001629557,0.00006191985,0.0000153587,0.00001232752,0.00003262298,0.003293184,0.01050884,0.9800649,0.003908443,0.0001643352],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3669524,0.00002510018,0.6017039,0.001216564,0.00012721,0.0002173836,0.00002627693,0.0001775871,0.02955347],"genre_scores_gemma":[0.5547446,0.00001212532,0.4433232,0.001192987,0.0001192738,0.00001307752,0.000002369452,0.00001310136,0.0005792407],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1877921,"threshold_uncertainty_score":0.6372665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1852333735722058,"score_gpt":0.3470489611847545,"score_spread":0.1618155876125487,"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."}}