{"id":"W4230041933","doi":"10.21037/tcr.2016.11.58","title":"Biomarker guided treatment of advanced non-small cell lung cancer: does feasibility translate to improvements in patient care?","year":2016,"lang":"en","type":"article","venue":"Translational Cancer Research","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Juravinski Cancer Centre","funders":"","keywords":"Biomarker; Medicine; Lung cancer; Oncology; Intensive care medicine; Internal medicine; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.01055704,0.0003702371,0.001308406,0.0004788488,0.0003271701,0.003305563,0.0009502477,0.001207071,0.004992537],"category_scores_gemma":[0.02490386,0.000253554,0.0009779264,0.0006822857,0.001049713,0.003175528,0.0006872166,0.001590294,0.0007379319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001389453,"about_ca_system_score_gemma":0.003173019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002017241,"about_ca_topic_score_gemma":0.003909461,"domain_scores_codex":[0.9958857,0.002557052,0.0002380649,0.0003132875,0.0007913724,0.0002145292],"domain_scores_gemma":[0.9854456,0.009345736,0.001767814,0.0006613315,0.002212905,0.0005666095],"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":[0.005773023,0.0015307,0.1279638,0.001843892,0.000877889,0.0002478273,0.0002627584,0.002365767,0.007886611,0.009470257,0.01369827,0.8280791],"study_design_scores_gemma":[0.00495817,0.04045337,0.5297567,0.009466525,0.005502462,0.003338354,0.003309642,0.03054546,0.03018119,0.05223048,0.2897537,0.0005039707],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4649304,0.2899003,0.02661117,0.1710021,0.004480845,0.001061316,0.002013317,0.0003570004,0.03964348],"genre_scores_gemma":[0.9248375,0.03699002,0.0218967,0.01107117,0.002057754,0.0003576844,0.0007751606,0.00008251491,0.0019315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01055704,"threshold_uncertainty_score":0.05583161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06364324924948517,"score_gpt":0.4534651701348904,"score_spread":0.3898219208854052,"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."}}