{"id":"W3042549515","doi":"10.3747/co.27.5861","title":"Validation in Alberta of an Administrative Data Algorithm to Identify Cancer Recurrence","year":2020,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer Risks and Factors","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; Alberta Cancer Foundation; University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Confidence interval; Medical diagnosis; Chart; Kappa; Gold standard (test); Algorithm; Cancer registry; Cancer; Population; Predictive value; Diagnosis code; Gynecology; Obstetrics; Pediatrics; Internal medicine; Statistics; Radiology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.000126042,0.00009707403,0.0003180591,0.00006407496,0.00001375184,0.000005919412,0.0002193804,0.00006229419,0.0002389989],"category_scores_gemma":[0.0002271873,0.00009036338,0.00002391044,0.0002999297,0.00004872631,0.000132488,0.0001203027,0.0002001738,0.00001722926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001303121,"about_ca_system_score_gemma":0.0004871004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001816459,"about_ca_topic_score_gemma":0.002733732,"domain_scores_codex":[0.998956,0.00006888596,0.0003058249,0.0003736447,0.0001431842,0.0001524142],"domain_scores_gemma":[0.9992294,0.00007338064,0.0001136748,0.0002944397,0.0000807326,0.0002083879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003056127,0.0004991391,0.04573233,0.0001040555,0.00002576645,0.00001472708,0.003945393,0.00000983546,0.001180455,0.00004656969,0.006096521,0.9420396],"study_design_scores_gemma":[0.005478306,0.006091685,0.360424,0.0005909597,0.0003027487,0.00002776401,0.00167148,0.01515064,0.0116855,0.0001359676,0.597891,0.0005500392],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888815,0.0006651328,0.001145741,0.006579537,0.001250716,0.000659563,0.0004372795,0.0000152429,0.0003652797],"genre_scores_gemma":[0.997418,0.0003770397,0.0009291498,0.0002903999,0.0003619577,0.00004734966,0.0005461875,0.0000104808,0.00001942152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9414896,"threshold_uncertainty_score":0.3684912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3854866846419229,"score_gpt":0.5537502628447267,"score_spread":0.1682635782028038,"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."}}