{"id":"W2902322423","doi":"10.1101/mcs.a002659","title":"Clinical outcomes after whole-genome sequencing in patients with metastatic non-small-cell lung cancer","year":2018,"lang":"en","type":"article","venue":"Molecular Case Studies","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Canada's Michael Smith Genome Sciences Centre; BC Cancer Agency","funders":"BC Cancer Foundation","keywords":"Lung cancer; Medicine; Cancer; Oncology; Genome; DNA sequencing; Internal medicine; Biology; DNA; Gene; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001836675,0.0002612587,0.0003674292,0.00006211104,0.00008254963,0.00002426586,0.0001106852,0.0000710409,0.000008569794],"category_scores_gemma":[0.0001003345,0.0002137231,0.0001192336,0.0001169534,0.0001997325,0.000004042843,0.0002426175,0.0001107616,0.000007255832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001100242,"about_ca_system_score_gemma":0.000176665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001480571,"about_ca_topic_score_gemma":0.001676131,"domain_scores_codex":[0.9985889,0.00006253712,0.0003691436,0.0005009036,0.0001280134,0.0003505241],"domain_scores_gemma":[0.9991082,0.00003457395,0.0001114473,0.0003920155,0.0002631577,0.00009058484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003096948,0.0001708013,0.9881595,0.0001225516,0.0008963601,0.002337802,0.0006402348,0.0003180663,0.006157285,0.000004655205,0.0003387479,0.0005442633],"study_design_scores_gemma":[0.0344438,0.007627752,0.8831369,0.0006142918,0.003301394,0.0002814903,0.004285757,0.000623465,0.04066404,0.0001550016,0.01951642,0.005349735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943591,0.003950846,0.0007039802,0.0000571499,0.0002326347,0.0004287229,0.0001377559,0.000006329225,0.0001235072],"genre_scores_gemma":[0.9964722,0.0002930076,0.001589017,0.001177327,0.0001202733,0.0001528954,0.000042065,0.00004277365,0.0001104409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1050227,"threshold_uncertainty_score":0.8715377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01758632004271061,"score_gpt":0.3075406915747958,"score_spread":0.2899543715320852,"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."}}