{"id":"W2015674005","doi":"10.7202/056297ar","title":"Asymétrie occupationnelle et localisation résidentielle des familles à double revenu à Montréal","year":2005,"lang":"fr","type":"article","venue":"Recherches sociographiques","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Geography; Sociology; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0006154669,0.0002797593,0.0002953139,0.003181333,0.002480665,0.001228284,0.0006173053,0.0002212117,0.006167615],"category_scores_gemma":[0.002826086,0.0001990007,0.000287865,0.002826367,0.001323938,0.000458764,0.0009922188,0.0002598451,0.0002400757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009398923,"about_ca_system_score_gemma":0.004871394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9483931,"about_ca_topic_score_gemma":0.9764797,"domain_scores_codex":[0.999366,0.00009046462,0.00001809275,0.0001640484,0.0001142187,0.0002472032],"domain_scores_gemma":[0.9983541,0.0002883798,0.0003443455,0.00009921635,0.0006390736,0.000274902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001346303,0.00001429134,0.9339474,0.00005935341,0.00006551678,0.0003868125,0.03417132,0.0006134135,0.003022094,0.003007434,0.0008940751,0.0236837],"study_design_scores_gemma":[0.000001523921,0.0000151242,0.989748,0.00001079597,0.00001065168,0.00006621718,0.008106924,0.0002326685,0.0001590623,0.00009177621,0.001544903,0.00001245466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953489,0.000149411,0.00029059,0.0001043002,0.000002641183,0.000007564898,0.0003910573,0.00001188933,0.003693749],"genre_scores_gemma":[0.9980109,0.00007324394,0.0001794437,0.000006103351,0.000001101485,0.000006052095,0.0001059693,0.00000324744,0.001614018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05160689,"threshold_uncertainty_score":0.1038216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.127849713137559,"score_gpt":0.3707594155546693,"score_spread":0.2429097024171103,"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."}}