{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001687311,0.000244298,0.0005466542,0.000130285,0.0001194394,0.00007617303,0.0002885013,0.00006521096,0.0003295342],"category_scores_gemma":[0.0001699456,0.0002557847,0.00002535207,0.0003496071,0.00001248297,0.0005398286,0.0001313495,0.0003047878,0.00001459514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001063634,"about_ca_system_score_gemma":0.003951396,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9506374,"about_ca_topic_score_gemma":0.9952954,"domain_scores_codex":[0.9979122,0.0001251602,0.0006368491,0.0004772003,0.0004041553,0.0004444753],"domain_scores_gemma":[0.9983631,0.0001335781,0.0002102589,0.0008569686,0.0001187317,0.0003173609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000046603,0.00008822896,0.9759552,0.0001859803,0.00003195748,0.0002284323,0.006258839,0.0000802176,0.001063772,0.0000370925,0.004644774,0.01137892],"study_design_scores_gemma":[0.001253989,0.0002740769,0.9614291,0.00119557,0.000008278982,0.0001210629,0.003486029,0.004361772,0.0002865542,0.000007833769,0.02730479,0.0002709875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993764,0.000164377,0.0001865587,0.001937158,0.00019217,0.00102945,0.0001236848,0.0000527166,0.002549854],"genre_scores_gemma":[0.99034,0.00001326974,0.001937563,0.006696953,0.00005094286,0.00001839922,0.0007094827,0.00003487193,0.0001985342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04465801,"threshold_uncertainty_score":0.9999894,"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."}}