{"id":"W2911342755","doi":"10.3917/rfe.181.0051","title":"Évolutions récentes du travail à temps partiel en France","year":2019,"lang":"fr","type":"article","venue":"Revue française d économie","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001022959,0.0002168759,0.0002875893,0.002122153,0.0014715,0.002356166,0.0005687146,0.0007189202,0.009733273],"category_scores_gemma":[0.002194669,0.000160294,0.0004547251,0.002567577,0.0007338589,0.001007409,0.0009385729,0.0008044615,0.000944849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002823194,"about_ca_system_score_gemma":0.001622886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2240276,"about_ca_topic_score_gemma":0.2876274,"domain_scores_codex":[0.9991863,0.0001361496,0.00003597574,0.0002275386,0.0001497214,0.0002642171],"domain_scores_gemma":[0.9976235,0.0004459757,0.0007035788,0.0001376472,0.0005288522,0.0005604486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004729329,0.0001507817,0.8255272,0.0002611206,0.0003120478,0.0007442217,0.02951771,0.003551028,0.002818756,0.02018408,0.006455685,0.1100044],"study_design_scores_gemma":[0.000005739982,0.00007892013,0.9646095,0.00007342449,0.00002456759,0.0001172136,0.005890564,0.0008172979,0.0001532227,0.0009245156,0.02727401,0.00003094099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824096,0.003109662,0.001081074,0.001470443,0.00004216483,0.00001274946,0.001891493,0.00004759292,0.00993524],"genre_scores_gemma":[0.9904807,0.0007364828,0.0003921009,0.00005876064,0.0000357015,0.00001279867,0.0007583903,0.00001463797,0.007510438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2240276,"threshold_uncertainty_score":0.4454472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126066659115691,"score_gpt":0.1909859396070086,"score_spread":0.1783792736954395,"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."}}