{"id":"W2789986687","doi":"10.3747/co.25.3867","title":"Standardizing Biomarker Testing for Canadian Patients with Advanced Lung Cancer","year":2018,"lang":"en","type":"article","venue":"Current Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre; Dalhousie University; University of Ottawa; Juravinski Cancer Centre; Institut universitaire de cardiologie et de pneumologie de Québec; Centre Hospitalier de l’Université de Montréal; Université Laval; William Osler Health System; Ottawa Hospital; University Health Network; University of Toronto; Princess Margaret Cancer Centre; BC Cancer Agency","funders":"","keywords":"Medicine; KRAS; Lung cancer; Oncology; Neuroblastoma RAS viral oncogene homolog; ROS1; Biomarker; Context (archaeology); Internal medicine; Anaplastic lymphoma kinase; Cancer; Epidermal growth factor receptor; Adenocarcinoma","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":[0.00004886153,0.0001044852,0.0001821342,0.00009601519,0.0002097055,0.000008066891,0.00003573026,0.00004254308,0.00008637954],"category_scores_gemma":[0.00008711956,0.00007714659,0.0000272493,0.0001631582,0.00007628051,0.00005386754,0.000009067583,0.00005814051,0.000003463874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287867,"about_ca_system_score_gemma":0.001652313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002461707,"about_ca_topic_score_gemma":0.02479494,"domain_scores_codex":[0.9992509,0.00001131969,0.0001279248,0.0002104699,0.00009002139,0.0003093286],"domain_scores_gemma":[0.9989609,0.00005721989,0.00006833219,0.0001100594,0.0005955522,0.0002080035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001903124,0.0001120639,0.5802268,0.00005754722,0.0001244926,0.000002602252,0.0003130849,0.000001998667,0.00003320682,0.00002966404,0.004352839,0.4145554],"study_design_scores_gemma":[0.007890409,0.00194731,0.3983274,0.0003216553,0.0005722472,0.000003857594,0.00008517747,0.0005207568,0.00006565166,0.00001960034,0.5900889,0.0001570076],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805697,0.001927036,0.001202106,0.001106059,0.002312515,0.002082989,0.000448346,0.00006385254,0.01028746],"genre_scores_gemma":[0.9949393,0.00001441494,0.003845719,0.0002483591,0.0002776309,0.0003957241,0.0001466464,0.00002440813,0.0001078467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5857361,"threshold_uncertainty_score":0.993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07204960100922177,"score_gpt":0.4591795222159152,"score_spread":0.3871299212066935,"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."}}