{"id":"W3151138512","doi":"10.1515/9780773585195","title":"Precarious Employment: Understanding Labour Market Insecurity in Canada","year":2005,"lang":"en","type":"book","venue":"","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Precarious work; Job insecurity; Labour economics; Business; Economics; Work (physics); Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.001714793,0.0005933775,0.0006897657,0.005975584,0.03985741,0.01710323,0.003589434,0.002355284,0.005873296],"category_scores_gemma":[0.004113083,0.0004570009,0.0006065582,0.01647859,0.01096039,0.004525078,0.005769131,0.003620981,0.0003266957],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2875904,"about_ca_system_score_gemma":0.3126213,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9989225,"about_ca_topic_score_gemma":0.9994745,"domain_scores_codex":[0.9974399,0.0001885216,0.00007195396,0.0001972617,0.0008701462,0.001232228],"domain_scores_gemma":[0.9970114,0.0006543132,0.0002637951,0.00006735501,0.0009957674,0.001007323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007227856,0.00009154274,0.06461182,0.0005046129,0.00005996167,0.001292553,0.5010756,0.00230637,0.0003601696,0.281911,0.07294349,0.07477061],"study_design_scores_gemma":[0.00001221922,0.00002089253,0.08571578,0.0008700816,0.00005485798,0.0001906738,0.6153075,0.002327339,0.000119039,0.02357641,0.2716908,0.0001145221],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4796665,0.04279247,0.001742264,0.1264534,0.0008057104,0.0002690247,0.002548568,0.00008917019,0.3456329],"genre_scores_gemma":[0.9468083,0.02772645,0.001014762,0.004523235,0.00008208145,0.000083279,0.0005890576,0.00005341498,0.01911942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2875904,"threshold_uncertainty_score":0.8262941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06841255277887583,"score_gpt":0.3422875140657796,"score_spread":0.2738749612869038,"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."}}