{"id":"W111523429","doi":"10.4000/pistes.3883","title":"Prevention Is the Best Medicine : Development of a Work and Health Toolkit for New Immigrants Using Settlement Services in Ontario","year":2014,"lang":"fr","type":"article","venue":"Perspectives interdisciplinaires sur le travail et la santé","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Work & Health","funders":"","keywords":"Immigration; Workforce; Settlement (finance); Focus group; Work (physics); Public relations; Occupational safety and health; Harm; Compensation (psychology); Business; Workforce development; Workers' compensation; Political science; Medicine; Engineering; Psychology; Marketing; Finance; Law","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01236685,0.0005551751,0.0005157165,0.001761885,0.01080075,0.002648558,0.0031123,0.001157584,0.007147477],"category_scores_gemma":[0.01358388,0.0007751543,0.0009883073,0.001454057,0.003039074,0.002169425,0.008123822,0.00209862,0.0009918914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04769771,"about_ca_system_score_gemma":0.2346673,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7651349,"about_ca_topic_score_gemma":0.9417639,"domain_scores_codex":[0.9946736,0.002041774,0.0004065505,0.0002694888,0.00135275,0.001255958],"domain_scores_gemma":[0.9841473,0.002479706,0.0007826355,0.0005075649,0.004182382,0.007900379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002462712,0.001744615,0.05647064,0.004365519,0.00005375652,0.006224921,0.4895349,0.0009560776,0.005209831,0.003294285,0.09355846,0.3383407],"study_design_scores_gemma":[0.0003061109,0.0009043716,0.1115529,0.004367514,0.0001215807,0.0009178717,0.3436282,0.001462886,0.002154508,0.002052022,0.5321719,0.0003602122],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7403861,0.003906914,0.02246523,0.08851433,0.001214997,0.0294568,0.002608061,0.001850106,0.1095975],"genre_scores_gemma":[0.6719335,0.008843178,0.2396332,0.01079985,0.0001836425,0.01770362,0.002292509,0.0004323962,0.04817802],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2348651,"threshold_uncertainty_score":0.4724966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08366805185270436,"score_gpt":0.4599459951536871,"score_spread":0.3762779433009827,"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."}}