{"id":"W2981926112","doi":"10.3747/co.26.5235","title":"OCTANE (Ontario-Wide Cancer Targeted Nucleic Acid Evaluation): A Platform for Intraprovincial, National, and International Clinical Data-Sharing","year":2019,"lang":"en","type":"article","venue":"Current Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; London Health Sciences Centre; Princess Margaret Cancer Centre; Ottawa Hospital; Western University; Hamilton Regional Laboratory Medicine Program; Juravinski Cancer Centre","funders":"Servier; Loxo Oncology; Astellas Pharma; Mirati Therapeutics; Mersana Therapeutics; Genentech; Government of Ontario; Agios Pharmaceuticals; Ontario Institute for Cancer Research; PTC Therapeutics; Princess Margaret Cancer Foundation; Sanofi; GlaxoSmithKline; Amgen; Pfizer; MorphoSys; Celgene; Symphogen; AstraZeneca; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Medicine; Clinical trial; Cancer; Data sharing; Nice; Disease; Genomics; Genetic testing; Data science; Alternative medicine; Internal medicine; Computer science; Pathology; Genome; Biology; Genetics","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":[0.0007273857,0.0001224404,0.0001870707,0.00004476291,0.00005535383,0.00003512473,0.000392097,0.0001562076,0.0003025614],"category_scores_gemma":[0.0006907525,0.0001262617,0.00005519206,0.00003221631,0.00006314351,0.00001345077,0.0004465348,0.0001218463,0.00001052858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002706939,"about_ca_system_score_gemma":0.001224078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001889782,"about_ca_topic_score_gemma":0.01031359,"domain_scores_codex":[0.9987161,0.00002154755,0.0003511169,0.0005758416,0.0001512906,0.0001840837],"domain_scores_gemma":[0.9989314,0.0001114419,0.0001690133,0.0002975334,0.0004105868,0.00008002855],"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":[0.001309677,0.0008129623,0.3359428,0.00008334823,0.0006009945,0.000001563659,0.0002414464,0.0001588408,0.01529559,0.002179757,0.243627,0.3997461],"study_design_scores_gemma":[0.002569474,0.0003687705,0.01267726,0.00001489492,0.00007064173,0.000005422435,0.00002784596,0.009264221,0.0004813213,0.00094178,0.9733895,0.0001888793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850309,0.005412638,0.0008978496,0.0006936422,0.00557915,0.0006653087,0.0006415252,0.000009486178,0.001069486],"genre_scores_gemma":[0.9879053,0.003121489,0.001168165,0.001051237,0.001652039,0.0002261531,0.004558562,0.00002731081,0.0002898035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7297626,"threshold_uncertainty_score":0.5755225,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2188217110793864,"score_gpt":0.4663629449434625,"score_spread":0.2475412338640762,"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."}}