{"id":"W2912662855","doi":"10.1111/cod.13229","title":"Using health insurance administrative data to explore patch testing utilization in Ontario, Canada—An untapped resource","year":2019,"lang":"en","type":"article","venue":"Contact Dermatitis","topic":"Contact Dermatitis and Allergies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Occupational Cancer Research Centre; Public Health Ontario; University of Toronto","funders":"","keywords":"Patch testing; Medicine; Test (biology); Patch test; Work (physics); Specialty; Population; Family medicine; Environmental health; Contact dermatitis; Allergy; Engineering","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":[0.002010269,0.0003437457,0.0004304844,0.004295438,0.001342081,0.001456944,0.001252856,0.0003128373,0.001740034],"category_scores_gemma":[0.008918685,0.0003773937,0.0006460312,0.01389927,0.0006565496,0.0006584574,0.001212745,0.0004844213,0.000213014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03906437,"about_ca_system_score_gemma":0.04872064,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961248,"about_ca_topic_score_gemma":0.9967082,"domain_scores_codex":[0.9968461,0.0002651559,0.0002611259,0.000289248,0.001679534,0.0006587942],"domain_scores_gemma":[0.9879942,0.001435449,0.003733249,0.0004300849,0.005255315,0.001151772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004551247,0.00001961266,0.9891551,0.0001601662,0.00008906372,0.00005333394,0.0005708276,0.0002654062,0.00008196457,0.0001498443,0.003130345,0.00627888],"study_design_scores_gemma":[0.000003611252,0.00001151146,0.9965842,0.00006763131,0.00002862249,0.00001899681,0.0004874103,0.0005110988,0.00003157319,0.00002529324,0.002223632,0.000006464652],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9038469,0.004154795,0.0009090295,0.002250953,0.00003331172,0.0002389208,0.07813825,0.00007275659,0.01035519],"genre_scores_gemma":[0.9797755,0.00183455,0.000960429,0.0003103063,0.00001982407,0.00008611916,0.01578554,0.00001633217,0.001211297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03906437,"threshold_uncertainty_score":0.2834332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.290522796071946,"score_gpt":0.3672898121309504,"score_spread":0.07676701605900438,"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."}}