{"id":"W2803335368","doi":"","title":"Mapping the Occupational Health and Safety Challenges Arising from Employment-Related Geographical Mobility (E-RGM) Among Canadian Seafarers on the Great Lakes and St Lawrence River","year":2018,"lang":"en","type":"article","venue":"XIX ISA World Congress of Sociology (July 15-21, 2018)","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Occupational safety and health; Environmental health; Environmental planning; Business; Political science; Medicine","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":[0.001090753,0.0003265656,0.0002710649,0.002113604,0.005199604,0.00316351,0.001831136,0.001195259,0.002081257],"category_scores_gemma":[0.004149403,0.0002817025,0.0003812693,0.00605379,0.001922575,0.00105214,0.003824864,0.001029831,0.0001838703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02572155,"about_ca_system_score_gemma":0.04611694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9905778,"about_ca_topic_score_gemma":0.9970866,"domain_scores_codex":[0.9982905,0.000206998,0.00005623695,0.000178529,0.0004173271,0.0008503918],"domain_scores_gemma":[0.9978842,0.0003160554,0.0004466424,0.00006776689,0.0008653147,0.0004199886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007205373,0.00009263006,0.9063873,0.000175387,0.00007378923,0.0004258572,0.05865556,0.0008798399,0.0005604242,0.001738049,0.004654936,0.02628427],"study_design_scores_gemma":[0.000002769023,0.00002201097,0.7667274,0.000168663,0.00002475384,0.00004636539,0.2261237,0.0006652671,0.00008211658,0.0002211121,0.005889027,0.00002664735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933103,0.0002816354,0.0001494401,0.001379391,0.00001104787,0.00004473725,0.0009579948,0.000004392284,0.003861121],"genre_scores_gemma":[0.9973695,0.0004354986,0.0002922131,0.0001739425,0.000006133031,0.00003312442,0.0004470978,0.000003241536,0.001239183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02572155,"threshold_uncertainty_score":0.1866238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09799628908226103,"score_gpt":0.3850191207427613,"score_spread":0.2870228316605003,"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."}}