{"id":"W6997101247","doi":"","title":"Travailleurs immigrants et SST au Québec : état des connaissances statistiques et recension des sources de données","year":2015,"lang":"fr","type":"article","venue":"","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Context (archaeology); Immigration; Naturalisation","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":[0.02061218,0.000543835,0.001001144,0.006687838,0.004392614,0.006154175,0.001806935,0.0008399116,0.007904502],"category_scores_gemma":[0.07503333,0.000543081,0.0007973314,0.01666802,0.002036325,0.001853402,0.002592504,0.001453731,0.0006523942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03017719,"about_ca_system_score_gemma":0.05930602,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.976702,"about_ca_topic_score_gemma":0.9823048,"domain_scores_codex":[0.9879428,0.003926202,0.001521134,0.001533769,0.004272183,0.0008039392],"domain_scores_gemma":[0.9145811,0.03126809,0.008621701,0.003905421,0.03946623,0.0021575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002224867,0.00005027822,0.8207723,0.002864819,0.0009000747,0.0005192473,0.07061528,0.000438703,0.0004833519,0.003495025,0.01973581,0.07990262],"study_design_scores_gemma":[0.00002126601,0.00004711051,0.8697769,0.004839246,0.0005240025,0.0001521158,0.04820221,0.001098523,0.0004457338,0.0005978045,0.07417623,0.0001187882],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.828613,0.03230285,0.01097936,0.01733853,0.0005711668,0.0009718075,0.06266955,0.0002025046,0.04635113],"genre_scores_gemma":[0.9439785,0.01216952,0.007480192,0.002346904,0.0001147736,0.0009185578,0.01386545,0.0001112409,0.01901473],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03017719,"threshold_uncertainty_score":0.2189519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1303090683223136,"score_gpt":0.3788844664997639,"score_spread":0.2485753981774503,"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."}}