{"id":"W2606282829","doi":"10.23889/ijpds.v1i1.209","title":"Colonoscopy resource availability and colonoscopy utilization in Ontario, Canada","year":2017,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Colonoscopy; Medicine; Specialty; Referral; Colorectal cancer; Population; Internal medicine; Family medicine; Environmental health; Cancer","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":[0.0004964074,0.0002031386,0.0002451565,0.001374526,0.001591701,0.001013529,0.0007253012,0.0002220223,0.003080495],"category_scores_gemma":[0.002931938,0.0002890019,0.0005894228,0.00449371,0.0005033253,0.0004160734,0.0007735124,0.000404207,0.000194308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0316189,"about_ca_system_score_gemma":0.04032819,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962348,"about_ca_topic_score_gemma":0.9977173,"domain_scores_codex":[0.9989629,0.00007216052,0.00009434026,0.0001323602,0.000419544,0.0003187897],"domain_scores_gemma":[0.9957013,0.0002456821,0.001330475,0.00007925387,0.001708536,0.0009347976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003423977,0.00001334099,0.9930634,0.00008557507,0.00005238618,0.00007482393,0.0004469373,0.0001532457,0.00008033776,0.00007983232,0.002253045,0.003662892],"study_design_scores_gemma":[0.000004602674,0.000007951729,0.9977496,0.00004677588,0.00001805944,0.00003557449,0.0004756087,0.0002150134,0.0000250089,0.00001308751,0.001402622,0.000006001914],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620289,0.003402295,0.000251545,0.001963327,0.00003640465,0.00007482019,0.02266153,0.00004325914,0.009538027],"genre_scores_gemma":[0.9947537,0.0009352847,0.0002002049,0.0001637783,0.0000136747,0.00002114288,0.002700557,0.000006727536,0.001204939],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0316189,"threshold_uncertainty_score":0.2294122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042851234852872,"score_gpt":0.3938136068972294,"score_spread":0.2895284834119422,"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."}}