{"id":"W1511166396","doi":"10.7202/600569ar","title":"Spécificité du chômage des femmes","year":2008,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Political science; Humanities; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001298561,0.0002274863,0.0002778704,0.001059905,0.004315692,0.001416372,0.0005636719,0.0008321294,0.008136787],"category_scores_gemma":[0.003513793,0.0001321123,0.0002126879,0.001228214,0.005146806,0.001074712,0.001851386,0.001114507,0.0003336431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005996997,"about_ca_system_score_gemma":0.007935737,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6164293,"about_ca_topic_score_gemma":0.8067295,"domain_scores_codex":[0.9987348,0.0003793972,0.00005293607,0.0001479368,0.000260322,0.0004245496],"domain_scores_gemma":[0.9985033,0.0002236188,0.0002693027,0.0001220215,0.0006158253,0.0002659467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001735612,0.00005710229,0.3018669,0.00109713,0.0001531641,0.001904754,0.2850245,0.0004372737,0.005827116,0.2290724,0.02443743,0.1499487],"study_design_scores_gemma":[0.00001260603,0.0000987391,0.4466363,0.001036095,0.00006861795,0.001488086,0.2193053,0.0002497219,0.001273092,0.01221306,0.317533,0.00008526898],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7920341,0.004536161,0.005235045,0.02120117,0.0003696267,0.0001485572,0.001276419,0.00004576415,0.1751532],"genre_scores_gemma":[0.9760191,0.00115948,0.001206567,0.001054595,0.00002757633,0.00003701287,0.0001585821,0.000006850839,0.02033026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3835707,"threshold_uncertainty_score":0.7716593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0407756699820501,"score_gpt":0.2694736331566254,"score_spread":0.2286979631745753,"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."}}