{"id":"W4389790182","doi":"10.1177/2752535x231221587","title":"Contending With Precarity: Health and Multi-Sectoral Supports for Migrant Agricultural Workers in Southern Ontario","year":2023,"lang":"en","type":"article","venue":"Community Health Equity Research & Policy","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; University of Windsor; Western University","funders":"Social Sciences and Humanities Research Council of Canada; Mitacs","keywords":"Precarity; Context (archaeology); Service provider; Agriculture; Psychological intervention; Economic growth; Business; Construct (python library); Migrant workers; Service (business); Political science; Public relations; Sociology; Geography; Nursing; Medicine; Gender studies; Marketing; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.000729665,0.0001861603,0.0002793286,0.0004902245,0.01219304,0.002138912,0.0009279267,0.0005723747,0.002257361],"category_scores_gemma":[0.001752733,0.0002359744,0.0001643261,0.00103499,0.003389724,0.000610154,0.002510007,0.0009927195,0.0001023442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03579991,"about_ca_system_score_gemma":0.06927521,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9836988,"about_ca_topic_score_gemma":0.9972325,"domain_scores_codex":[0.9992066,0.000147338,0.00002544437,0.00005151544,0.000120836,0.000448258],"domain_scores_gemma":[0.9986003,0.0002203712,0.0002383401,0.00003444001,0.0002584274,0.0006480832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001085536,0.00007885704,0.2162401,0.0002322286,0.00002096374,0.002158467,0.7514424,0.0001411755,0.001283412,0.001970005,0.003298822,0.02302503],"study_design_scores_gemma":[0.000007766869,0.0000408187,0.1277708,0.0001636071,0.00001259932,0.0001430128,0.8600337,0.00008052176,0.0000899946,0.0001894102,0.01145405,0.00001380079],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920762,0.0004423781,0.00005585832,0.002542111,0.00001153531,0.00003275415,0.00007826381,0.000002762334,0.004758135],"genre_scores_gemma":[0.9968354,0.0005344141,0.0001217269,0.0003384974,0.000004394319,0.00001854651,0.00003417806,0.000002533597,0.002110285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03579991,"threshold_uncertainty_score":0.2597477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5298887549798881,"score_gpt":0.594606418549857,"score_spread":0.06471766356996889,"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."}}