{"id":"W2892165384","doi":"10.23889/ijpds.v3i4.770","title":"Linking lab, program, and administrative data to provide comprehensive colorectal cancer screening status of patients to primary care providers in Calgary, Alberta","year":2018,"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":"Calgary Laboratory Services; Alberta Medical Association; Alberta Health Services","funders":"","keywords":"Medicine; Colonoscopy; Family medicine; Colorectal cancer; Guideline; Cancer screening; Primary care; Test (biology); Cohort; Point of care; Cancer; Internal medicine; Nursing; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002928251,0.0001131087,0.0001807925,0.0003903401,0.0001782395,0.0001644655,0.0006445482,0.00003609033,0.00000576377],"category_scores_gemma":[0.0008825421,0.0001031597,0.00001846273,0.0004592655,0.0001432585,0.001271596,0.0006746018,0.000142244,6.171983e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004003159,"about_ca_system_score_gemma":0.0005846136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006140605,"about_ca_topic_score_gemma":0.01379148,"domain_scores_codex":[0.998046,0.00002551238,0.0003994825,0.0005102943,0.0007450045,0.0002737264],"domain_scores_gemma":[0.9977631,0.00008263895,0.0002264587,0.0002777888,0.001396644,0.00025335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005296974,0.00008247196,0.5895984,0.00005068399,0.00003735573,0.000003186221,0.001724758,0.00008863386,0.001608743,0.00002202825,0.0001887648,0.401298],"study_design_scores_gemma":[0.001376266,0.002733737,0.9652581,0.0005596427,0.00002798347,0.00002263022,0.0004224313,0.01501293,0.0007719373,0.00001293751,0.01366004,0.0001414322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945412,0.00005784422,0.002158109,0.0004457422,0.0007276958,0.001263549,0.000709211,0.00001434891,0.0000823061],"genre_scores_gemma":[0.9604479,0.00001218266,0.03755046,0.0002674922,0.0002279683,0.00003926225,0.001428718,0.00001029387,0.00001574307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4011566,"threshold_uncertainty_score":0.9282798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09827326742823175,"score_gpt":0.4210232333362317,"score_spread":0.3227499659079999,"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."}}