{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001285909,0.0005440841,0.0007292271,0.0006342944,0.0009213889,0.00168647,0.001296549,0.001112864,0.005004986],"category_scores_gemma":[0.002461363,0.0002810637,0.0008567738,0.001292526,0.0008335238,0.0005445249,0.001029511,0.00125915,0.0002889506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006183764,"about_ca_system_score_gemma":0.009283741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8839438,"about_ca_topic_score_gemma":0.8190994,"domain_scores_codex":[0.9995341,0.0001218093,0.00001654585,0.0001123127,0.00009882659,0.0001164345],"domain_scores_gemma":[0.9991615,0.0004096981,0.00008221182,0.00004628046,0.0002398793,0.00006043845],"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":[0.000442822,0.0001291454,0.270579,0.0002817838,0.0004344173,0.0008906259,0.003678855,0.5438655,0.003490665,0.06432714,0.004632298,0.1072477],"study_design_scores_gemma":[0.00003981318,0.00009163631,0.1078184,0.0001057836,0.0002001521,0.0001189947,0.003044298,0.8655095,0.0008392201,0.01067923,0.01145416,0.00009878979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8512096,0.0015946,0.1289345,0.002895153,0.00006988389,0.0001857249,0.001950679,0.0003017886,0.012858],"genre_scores_gemma":[0.9708172,0.0007714608,0.01552628,0.00008827267,0.00001684503,0.00006681096,0.0005607526,0.00002735559,0.01212505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1160562,"threshold_uncertainty_score":0.2334793,"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."}}