{"id":"W2725621767","doi":"10.7202/1039591ar","title":"Precarious Employment and Difficult Daily Commutes","year":2017,"lang":"en","type":"article","venue":"Relations industrielles","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Immigration; Demographic economics; Work (physics); Precarious work; Labour economics; Business; Political science; Economics; Engineering","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":[0.0006112118,0.0002117868,0.0002788526,0.001043138,0.008629431,0.002422545,0.0008564938,0.000610267,0.003998346],"category_scores_gemma":[0.00223832,0.0002353372,0.0002689291,0.001625407,0.007437583,0.0008966078,0.003232813,0.0008042032,0.0001890848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01460174,"about_ca_system_score_gemma":0.01351981,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8712419,"about_ca_topic_score_gemma":0.9391421,"domain_scores_codex":[0.9989799,0.0002035492,0.00005575255,0.00007155383,0.00023738,0.0004519074],"domain_scores_gemma":[0.9980459,0.0003515983,0.0004428145,0.00006625025,0.0002174399,0.0008758412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00007456022,0.00003752507,0.2797686,0.0002179232,0.00002800737,0.003135283,0.6912946,0.0002638005,0.0007579001,0.006798514,0.00251,0.01511329],"study_design_scores_gemma":[0.000003412153,0.00002987053,0.3241317,0.00020948,0.00001172163,0.0004789725,0.6635353,0.0001058508,0.00008643317,0.0006311196,0.01074794,0.00002825977],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911733,0.00088777,0.00009276642,0.00123768,0.00001670029,0.00001068849,0.00009890787,0.000004242394,0.006478013],"genre_scores_gemma":[0.9986768,0.0004388392,0.00003791142,0.00005503499,0.00000309225,0.000003514728,0.00002619606,0.00000216929,0.0007564242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8712419,"threshold_uncertainty_score":0.2590327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0776849534746687,"score_gpt":0.3850672082639636,"score_spread":0.3073822547892949,"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."}}