{"id":"W2428372814","doi":"10.3747/co.23.3019","title":"Approach to Biomarker Testing: Perspectives from Various Specialties","year":2016,"lang":"en","type":"article","venue":"Current Oncology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; Sunnybrook Health Science Centre; Juravinski Cancer Centre; Princess Margaret Cancer Centre; Health Sciences Centre; University Health Network","funders":"Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Medicine; Lung cancer; Specialty; Biomarker; Population; Cancer; Test (biology); Family medicine; Intensive care medicine; Oncology; Medical physics; Internal medicine; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0316139,0.0003669163,0.0004653005,0.002167483,0.0085094,0.008284849,0.001912161,0.003782575,0.004518894],"category_scores_gemma":[0.04511643,0.0005078696,0.0008628022,0.002100515,0.006985269,0.004309975,0.007418973,0.006244848,0.000576384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01487615,"about_ca_system_score_gemma":0.02960667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08485445,"about_ca_topic_score_gemma":0.1138477,"domain_scores_codex":[0.9746444,0.0115173,0.001122355,0.001231942,0.006743062,0.004741085],"domain_scores_gemma":[0.9192815,0.02374779,0.004587607,0.0009419282,0.01807138,0.03336978],"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":[0.0003255162,0.0003980462,0.2513712,0.001993916,0.0002385072,0.005258283,0.2545865,0.001033237,0.00253622,0.02320311,0.1730097,0.2860457],"study_design_scores_gemma":[0.00009390457,0.0004678911,0.09086359,0.003670571,0.0001215272,0.00745109,0.43012,0.0008998543,0.0008069329,0.01940091,0.4457646,0.0003390481],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1687154,0.03824796,0.004211736,0.749791,0.003081996,0.00006783777,0.000245423,0.00008168638,0.03555702],"genre_scores_gemma":[0.8170833,0.03262469,0.006259139,0.1375214,0.001971922,0.00007127589,0.0001805902,0.00007422922,0.00421327],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08485445,"threshold_uncertainty_score":0.1687211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1481229486508246,"score_gpt":0.4398298745682899,"score_spread":0.2917069259174653,"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."}}