{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.02831074,0.0006303618,0.0009933303,0.004131052,0.003097657,0.00385658,0.003709686,0.0008917348,0.01287191],"category_scores_gemma":[0.03605793,0.0007271327,0.00108921,0.008371356,0.001771127,0.001974834,0.009521128,0.001499446,0.002355124],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02255259,"about_ca_system_score_gemma":0.1047606,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6815469,"about_ca_topic_score_gemma":0.7641177,"domain_scores_codex":[0.9812157,0.007777354,0.001306704,0.00202708,0.006369759,0.001303459],"domain_scores_gemma":[0.9370445,0.01096898,0.006789944,0.01204107,0.01945147,0.013704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006116305,0.0003649368,0.1539655,0.00236931,0.00134828,0.0008207771,0.004048194,0.002896942,0.004996136,0.02695169,0.4147631,0.3813589],"study_design_scores_gemma":[0.002459105,0.0004394981,0.2261824,0.000929474,0.0003803402,0.0004516656,0.001216236,0.004337793,0.001639034,0.007278537,0.7544723,0.0002137022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.135504,0.02077056,0.1193727,0.09020877,0.001910854,0.01787023,0.3564526,0.009538919,0.2483713],"genre_scores_gemma":[0.5033149,0.01259215,0.2239857,0.01433277,0.001043377,0.01164902,0.1925257,0.001859686,0.03869668],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9962903,"threshold_uncertainty_score":0.640657,"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."}}