{"id":"W2116221902","doi":"10.3917/trav.015.0131","title":"Les femmes dans les métiers non-traditionnels : le général, le particulier et l'ergonomie","year":2006,"lang":"fr","type":"article","venue":"Travailler","topic":"Education, sociology, and vocational training","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Political science; Philosophy","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":[0.0009387652,0.0001825474,0.0002174171,0.0008847674,0.001784181,0.001131232,0.0001945861,0.0006927133,0.005844583],"category_scores_gemma":[0.001969484,0.0001377799,0.0001773803,0.000777901,0.001369963,0.0009448387,0.0007948554,0.00067508,0.0002729571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007102364,"about_ca_system_score_gemma":0.0008559598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0452114,"about_ca_topic_score_gemma":0.07473189,"domain_scores_codex":[0.9994587,0.0002365809,0.00002730838,0.00006921211,0.00007161892,0.0001366471],"domain_scores_gemma":[0.9993722,0.0002964277,0.0001182155,0.00002516602,0.00009189075,0.00009625267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002143834,0.0002350407,0.5305346,0.0007391719,0.00009334153,0.002191373,0.2026203,0.0003137932,0.004881099,0.0117698,0.004208192,0.2421989],"study_design_scores_gemma":[0.000009059882,0.0003754295,0.7631069,0.0007361932,0.00006344551,0.002204799,0.1891464,0.0001593126,0.0005778397,0.003067033,0.04050524,0.00004829692],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828655,0.004826388,0.0003758223,0.004250953,0.00004812534,0.00001020296,0.00007642199,0.000006009759,0.007540663],"genre_scores_gemma":[0.9919692,0.002792759,0.0002975503,0.0004710918,0.00003295452,0.00001455069,0.00002347708,0.000002141452,0.004396263],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0452114,"threshold_uncertainty_score":0.0898965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2133788790530298,"score_gpt":0.4017802851998829,"score_spread":0.1884014061468531,"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."}}