{"id":"W2587222411","doi":"10.7202/1034276ar","title":"Les femmes et la pauvreté : histoires de familles, histoires d’emplois ?","year":2015,"lang":"fr","type":"article","venue":"International Review of Community Development","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Humanities; Art; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002408434,0.0002696776,0.0002926591,0.001470721,0.003385141,0.00393186,0.0004739306,0.0009032683,0.004686242],"category_scores_gemma":[0.003928466,0.0001411135,0.0001463139,0.001923701,0.007437027,0.003193665,0.001867714,0.001106802,0.0003176847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003182997,"about_ca_system_score_gemma":0.002969393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0591608,"about_ca_topic_score_gemma":0.07034065,"domain_scores_codex":[0.9984406,0.001023778,0.00003668807,0.00009806127,0.0001363296,0.0002647144],"domain_scores_gemma":[0.9986505,0.0006414409,0.0002246269,0.00006729977,0.0002067833,0.0002093613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007822381,0.00008809596,0.04198454,0.0009833567,0.0000438954,0.001682719,0.4706812,0.0001591997,0.0006385041,0.2238416,0.02796189,0.2318569],"study_design_scores_gemma":[0.00000702903,0.00006398653,0.07299203,0.001862134,0.00002062943,0.0009166142,0.4622419,0.00006764121,0.000192486,0.01496201,0.4466381,0.00003533736],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3653038,0.3314407,0.002386583,0.136274,0.001702952,0.00005135441,0.0002619267,0.00003687289,0.1625418],"genre_scores_gemma":[0.9144622,0.06785932,0.0007198562,0.002281828,0.0003226421,0.00003753374,0.00004588851,0.000009673572,0.01426098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0591608,"threshold_uncertainty_score":0.1176329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1737935011664722,"score_gpt":0.3834825462376137,"score_spread":0.2096890450711415,"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."}}