{"id":"W3210539246","doi":"10.1136/oem-2021-epi.164","title":"P-13 The Utility of Occupational Health Data in the Canadian Partnership for Tomorrow’s Health (CanPath)","year":2021,"lang":"en","type":"article","venue":"Poster presentations","topic":"Healthcare Systems and Public Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Medicine; Cohort; Waist; Population; Cohort study; Environmental health; Gerontology; General partnership; Demography; Body mass index; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01994734,0.0009594703,0.001087422,0.006019846,0.004384445,0.007026689,0.004155902,0.001562556,0.04037952],"category_scores_gemma":[0.1228441,0.0008320481,0.002020133,0.01531273,0.00114789,0.001800092,0.005723847,0.001778542,0.009001548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02464789,"about_ca_system_score_gemma":0.1018625,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9804821,"about_ca_topic_score_gemma":0.9777809,"domain_scores_codex":[0.9809352,0.004909053,0.001637465,0.002578174,0.007665266,0.002274763],"domain_scores_gemma":[0.9029502,0.01908471,0.004139846,0.01104212,0.0562657,0.006517428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003734551,0.00006941786,0.1955024,0.000872614,0.0004376973,0.0001612541,0.0006770502,0.002510934,0.0001238171,0.008402678,0.7392293,0.05163949],"study_design_scores_gemma":[0.0003583914,0.0001030643,0.3908002,0.00366651,0.0003152292,0.0001787616,0.002358453,0.01052791,0.0006328793,0.005302648,0.5855229,0.0002329183],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.01596699,0.001026953,0.005021098,0.008742852,0.000939436,0.000798729,0.913169,0.0009883286,0.05334669],"genre_scores_gemma":[0.2230438,0.001564377,0.03842527,0.0047719,0.0004279666,0.002301682,0.7042086,0.001166423,0.02409],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04037952,"threshold_uncertainty_score":0.1788338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3979252377079421,"score_gpt":0.508319013094217,"score_spread":0.1103937753862749,"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."}}