{"id":"W4407818316","doi":"10.1177/10482911251314149","title":"The Point of No Return? Impediments to Return to Work for Injured Migrant Agricultural Workers in Two Canadian Provinces","year":2025,"lang":"en","type":"article","venue":"NEW SOLUTIONS A Journal of Environmental and Occupational Health Policy","topic":"Agriculture and Farm Safety","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; McGill University; Wilfrid Laurier University; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Occupational safety and health; Work (physics); Workers' compensation; Immigration; Business; Bureaucracy; Compensation (psychology); Demographic economics; Migrant workers; Agriculture; Labour economics; Economic growth; Medicine; Political science; Psychology; Economics; Geography; Engineering; Politics; Social psychology","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":[0.001973612,0.0003497527,0.0004919017,0.0009726537,0.02813183,0.004056248,0.003228009,0.001772728,0.003343234],"category_scores_gemma":[0.006235651,0.0005073521,0.0003803578,0.002044676,0.005035848,0.0008688755,0.003998624,0.003118157,0.0001917943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09350883,"about_ca_system_score_gemma":0.1533699,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952062,"about_ca_topic_score_gemma":0.9987714,"domain_scores_codex":[0.9956024,0.000467561,0.0001158881,0.0001864022,0.0005266662,0.00310115],"domain_scores_gemma":[0.9950594,0.0006219161,0.0006711006,0.0001138418,0.001522101,0.002011583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0007171575,0.0004946539,0.3690932,0.000520736,0.00007694574,0.007278199,0.5362978,0.0009503407,0.002092984,0.009801427,0.015195,0.0574815],"study_design_scores_gemma":[0.00002064422,0.00008219299,0.1773934,0.0002964467,0.00002667248,0.0002196,0.8076646,0.000245808,0.000178431,0.0003909644,0.01342772,0.00005348956],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855024,0.0005254615,0.00009705158,0.006803945,0.00003950772,0.00007826282,0.0001340749,0.000005855444,0.006813597],"genre_scores_gemma":[0.9956246,0.0005396367,0.0001597349,0.0008296221,0.00000723582,0.00002488741,0.00006257283,0.000004643754,0.002747153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09350883,"threshold_uncertainty_score":0.6784573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492060546095488,"score_gpt":0.2969056118580298,"score_spread":0.281985006397075,"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."}}