{"id":"W4213251462","doi":"10.1371/journal.pone.0263713","title":"A population-based study of administrative data linkage to measure melanoma surgical and pathology quality","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Government of Ontario; Cancer Care Ontario; Ontario Ministry of Health and Long-Term Care; Ontario Institute for Cancer Research; Health Sciences Centre Foundation","keywords":"Medicine; Cancer registry; Health care; Population; Data quality; Cancer; Medical physics; Environmental health; Internal medicine; Operations management","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006044888,0.0003664592,0.0003189274,0.001457167,0.001531689,0.001296475,0.0009376724,0.0006399156,0.0009525629],"category_scores_gemma":[0.01301118,0.0006243623,0.0007545872,0.003488425,0.000772207,0.0009237666,0.00110741,0.0009217142,0.0002625666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004576314,"about_ca_system_score_gemma":0.004598693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2186611,"about_ca_topic_score_gemma":0.1945448,"domain_scores_codex":[0.9952092,0.002032489,0.000304201,0.0008800601,0.0009778218,0.0005963349],"domain_scores_gemma":[0.9913436,0.001658629,0.00301226,0.001516266,0.001766992,0.0007023074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005776615,0.00009507919,0.9981402,0.000008717766,0.00007217292,0.00004656791,0.0004879012,0.00001870011,0.00007989675,0.00003858315,0.0001769192,0.0007775035],"study_design_scores_gemma":[0.00002777268,0.0001741627,0.9979928,0.000009122803,0.00005806258,0.0001297414,0.0008226995,0.0002891469,0.00003430806,0.00003061215,0.0004243052,0.00000744228],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981486,0.00009034356,0.0004032257,0.00009075589,0.000005908706,0.00008338282,0.0006972965,0.000005697057,0.0004747559],"genre_scores_gemma":[0.9988452,0.00005120259,0.0004005047,0.00005444991,0.000006652077,0.00008725185,0.0003998853,0.000003036208,0.000151677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2186611,"threshold_uncertainty_score":0.4347767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2098612277257792,"score_gpt":0.3547178582189793,"score_spread":0.1448566304932001,"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."}}