{"id":"W1570101747","doi":"10.1007/bf03404069","title":"A National Scan of Employment Standards, Occupational Health and Safety and Workers’ Compensation Resources for New Immigrants to Canada","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Work & Health; Public Health Ontario; University of Toronto","funders":"Government of Canada; Workplace Safety and Insurance Board","keywords":"Immigration; Occupational safety and health; Work (physics); Business; Health care; Workers' compensation; Focus group; Settlement (finance); Compensation (psychology); Public relations; Medicine; Political science; Psychology; Marketing; Engineering; Finance","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001610274,0.0003317723,0.0007099711,0.004755313,0.003868771,0.002311911,0.001449093,0.0006880239,0.003197213],"category_scores_gemma":[0.005707238,0.0004060425,0.0009811457,0.01396466,0.0007381443,0.0007726954,0.001613728,0.001303743,0.0002729864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04991162,"about_ca_system_score_gemma":0.1368697,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.998535,"about_ca_topic_score_gemma":0.9993049,"domain_scores_codex":[0.9977337,0.0001147497,0.000233196,0.0002081082,0.0008533152,0.0008569009],"domain_scores_gemma":[0.9869257,0.0006655064,0.001506759,0.0002187945,0.008997671,0.001685585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008188801,0.00004763697,0.951205,0.0005733458,0.0002854024,0.0001180598,0.002221824,0.0001993968,0.00009689559,0.001018956,0.0252224,0.01892919],"study_design_scores_gemma":[0.000006244257,0.00001048402,0.9833425,0.000354246,0.00008639543,0.00004884145,0.003947936,0.0001303281,0.00004412903,0.00005563026,0.01195278,0.00002036073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8723596,0.02197302,0.0002709327,0.01260868,0.0001836784,0.0001080024,0.07307928,0.00005979724,0.019357],"genre_scores_gemma":[0.9735998,0.007320004,0.0005197572,0.002006992,0.00003378957,0.00006908814,0.01213953,0.00001915123,0.004291923],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04991162,"threshold_uncertainty_score":0.3621358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1397741528425976,"score_gpt":0.4496253045517175,"score_spread":0.3098511517091199,"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."}}