{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002107928,0.0001389894,0.0001855187,0.00005466506,0.006193983,0.00004618698,0.0001991072,0.0002490613,0.0001649705],"category_scores_gemma":[0.0004621441,0.0001139449,0.00002904948,0.00005653034,0.0001910355,0.0001772539,0.000365973,0.0005798938,0.0001576464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005513909,"about_ca_system_score_gemma":0.0000906393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00071639,"about_ca_topic_score_gemma":0.0004105694,"domain_scores_codex":[0.9989659,0.0001147035,0.0002991938,0.0001948094,0.0001397992,0.000285548],"domain_scores_gemma":[0.9987603,0.000301101,0.0002330513,0.0005030156,0.000117976,0.0000845016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007605212,0.000033681,0.916019,0.000003962323,0.00006120285,0.000001803321,0.004124873,0.000003345996,0.00001510777,0.005762733,0.06502251,0.008944182],"study_design_scores_gemma":[0.0006774483,0.00003697675,0.7016777,0.0001466778,0.00004510189,5.923774e-7,0.002001955,0.00002496243,0.00001466813,0.0006243961,0.2946081,0.0001413545],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9004354,0.001332303,0.00005973371,0.02716431,0.0004947277,0.0006560853,0.00003130598,0.0001420565,0.06968412],"genre_scores_gemma":[0.9605392,0.0003123656,0.00007809966,0.0001465923,0.0002013994,0.00009849747,0.0000172734,0.00001661557,0.03858995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2295856,"threshold_uncertainty_score":0.9950998,"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."}}