{"id":"W6987384866","doi":"","title":"Statistical portrait of occupational accidents among immigrants in Quebec: How do they differ from nonimmigrants?","year":2023,"lang":"en","type":"article","venue":"","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Portrait; Statistical analysis; Poison control; Occupational safety and health","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":[0.001147374,0.0001899389,0.0002427475,0.003838175,0.001306202,0.001159659,0.000892428,0.0005433207,0.004306675],"category_scores_gemma":[0.004175144,0.0001539873,0.0005666267,0.005818208,0.0006958008,0.0005156823,0.0006034956,0.0005630093,0.0003662949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004309654,"about_ca_system_score_gemma":0.004384052,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.908807,"about_ca_topic_score_gemma":0.9407766,"domain_scores_codex":[0.9993265,0.0001356309,0.00007527701,0.0001120337,0.0001529238,0.0001976493],"domain_scores_gemma":[0.9954554,0.0006842828,0.001116514,0.0003004404,0.001909984,0.0005334053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003622153,0.000007543757,0.9949223,0.00001177038,0.00007017771,0.0000403599,0.0005678316,0.0001090562,0.0001704523,0.0001298013,0.0009143987,0.003020058],"study_design_scores_gemma":[3.903265e-7,0.000006173348,0.9983083,0.000004776093,0.000009277364,0.00001878099,0.001152603,0.0001246294,0.0000174538,0.00001661829,0.0003380341,0.000003039954],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851879,0.0008850174,0.0003864587,0.0008641294,0.00002468903,0.00002231674,0.007785354,0.00003852781,0.00480551],"genre_scores_gemma":[0.996554,0.0001762421,0.00008367745,0.00006589005,0.00001185,0.000006532552,0.002198425,0.000008542723,0.0008947379],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09119296,"threshold_uncertainty_score":0.18346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02965100579934526,"score_gpt":0.3420008800753292,"score_spread":0.312349874275984,"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."}}