{"id":"W3120351897","doi":"10.3390/curroncol28010053","title":"Canadian Consensus for Biomarker Testing and Treatment of TRK Fusion Cancer in Adults","year":2021,"lang":"en","type":"article","venue":"Current Oncology","topic":"Lymphoma Diagnosis and Treatment","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Health Authority; University of Ottawa; Saskatchewan Health; Hôpital Maisonneuve-Rosemont; Occupational Cancer Research Centre; Ottawa Hospital; CancerCare Manitoba; University Health Network; Queen's University; University of Manitoba; Institut universitaire de cardiologie et de pneumologie de Québec; Centre Hospitalier de l’Université de Montréal; Université Laval; University of Saskatchewan; Université de Montréal; University of Calgary; Princess Margaret Cancer Centre; Research Institute in Oncology and Hematology","funders":"","keywords":"Medicine; Biomarker; Trk receptor; Cancer; Oncology; Internal medicine; Bioinformatics; Cancer research; Computational biology; Genetics; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00003975907,0.00009102332,0.0002958982,0.00008816284,0.00002961173,0.000002226703,0.00001156369,0.00006281061,0.00004645762],"category_scores_gemma":[0.000130259,0.00007163361,0.00003965836,0.0001167543,0.00003663514,0.000005629431,0.000008953759,0.0000191805,0.000001051522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001081752,"about_ca_system_score_gemma":0.001231828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04173203,"about_ca_topic_score_gemma":0.2843668,"domain_scores_codex":[0.999355,0.00002936687,0.0001867558,0.0002001398,0.00004088303,0.0001878825],"domain_scores_gemma":[0.9992657,0.0003233545,0.0000525081,0.00008908594,0.0001225138,0.0001468646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000126673,0.0006124664,0.4927006,0.00006147623,0.00003135948,0.0001162647,0.0001992163,5.720426e-7,0.0002399664,0.00002121366,0.0002642204,0.505626],"study_design_scores_gemma":[0.01344232,0.001418802,0.9285597,0.0004921375,0.0001659471,0.00009527636,0.0002047194,0.000783736,0.001716423,0.00003666516,0.05299702,0.00008732698],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850948,0.0109819,4.591782e-7,0.002363932,0.0003670069,0.0004835524,0.0001210168,0.000005295711,0.0005820242],"genre_scores_gemma":[0.9976037,0.001529117,0.0004415764,0.00004674803,0.00005436211,0.0002309639,0.00004079255,0.000006831651,0.00004596598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5055386,"threshold_uncertainty_score":0.9646491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.134978056810811,"score_gpt":0.4082292433828935,"score_spread":0.2732511865720824,"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."}}