{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001742744,0.0002227271,0.0003763547,0.0003623891,0.00009767056,0.00001051881,0.0001082534,0.00008096406,0.0005461622],"category_scores_gemma":[0.000009454464,0.0001309429,0.0001437441,0.0005535305,0.00009140559,0.0001077776,0.00001327071,0.000083689,0.000006254801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001664309,"about_ca_system_score_gemma":0.001387455,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006699374,"about_ca_topic_score_gemma":0.006849103,"domain_scores_codex":[0.9975536,0.00009034848,0.0005215078,0.0005742245,0.0007392732,0.0005210192],"domain_scores_gemma":[0.9986193,0.0001371897,0.00006433638,0.0003483879,0.000584978,0.0002458061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002585645,0.00106651,0.4178775,0.0004977437,0.0002806986,0.00002577318,0.01235971,0.0003504217,0.1843632,0.00002683108,0.0001160487,0.38045],"study_design_scores_gemma":[0.02926271,0.003042455,0.6789132,0.001196644,0.0003194325,0.000001886214,0.0009075796,0.0001827779,0.2789644,0.0002713587,0.006486338,0.0004511246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860106,0.003751547,0.0001441981,0.003739277,0.0001604783,0.003911297,0.0009630203,0.00001905608,0.001300491],"genre_scores_gemma":[0.9950771,0.0009822954,0.0009228339,0.0000504477,0.00005209502,0.002045623,0.00005289258,0.00003506517,0.0007816501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3799988,"threshold_uncertainty_score":0.9999151,"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."}}