{"id":"W1546649291","doi":"","title":"MODÈLE DYNAMIQUE EN PRÉSENCE DE BIAIS DE SÉLECTION ET D’HÉTÉROGÉNÉITÉ INOBSERVÉE: APPLICATION À LA PARTICIPATION DES FEMMES SUR LE MARCHÉ DU TRAVAIL AU CANADA","year":2008,"lang":"fr","type":"article","venue":"Cahiers de recherche","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.005664082,0.000266533,0.0002612383,0.00007577121,0.0008227465,0.0000643457,0.0003680937,0.001305396,0.000009409519],"category_scores_gemma":[0.002197063,0.0003018316,0.0001014763,0.001046267,0.001054014,0.0003559125,0.00003176038,0.001241347,0.000007168499],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01269987,"about_ca_system_score_gemma":0.01416737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8564551,"about_ca_topic_score_gemma":0.9074713,"domain_scores_codex":[0.9920694,0.005844146,0.0003486007,0.0004309845,0.0003397492,0.0009670876],"domain_scores_gemma":[0.9971377,0.00174141,0.0001692608,0.0002713219,0.0002520897,0.0004282384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007765698,0.000554751,0.6174972,0.0004098798,0.0001588535,0.00006457436,0.2269276,0.03083486,0.009244066,0.04779684,0.005033731,0.06139998],"study_design_scores_gemma":[0.0005862001,0.00009148571,0.8336335,0.00008746541,0.000121508,0.00008850318,0.02101314,0.1091367,0.001816309,0.01628411,0.01649549,0.0006455565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8449361,0.0008777045,0.1410016,0.004383611,0.0003820071,0.0003647173,0.00003155273,0.0000875121,0.007935225],"genre_scores_gemma":[0.9714388,0.008621537,0.01124164,0.0007777747,0.0002812214,0.0001792618,0.00003822612,0.00004699283,0.007374593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2161363,"threshold_uncertainty_score":0.9999911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1968209711422968,"score_gpt":0.3432596986355815,"score_spread":0.1464387274932847,"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."}}