{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005491367,0.0001217536,0.0003569062,0.0002289162,0.000283635,0.0004584612,0.0001770081,0.000301828,0.0005461984],"category_scores_gemma":[0.002167868,0.00007834991,0.0003310826,0.0004345891,0.0001750524,0.0004605431,0.0003631993,0.0004101348,0.000142838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004727738,"about_ca_system_score_gemma":0.0003031196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002111266,"about_ca_topic_score_gemma":0.003442498,"domain_scores_codex":[0.9997227,0.00007015744,0.00002530748,0.00008249877,0.00004870103,0.00005068782],"domain_scores_gemma":[0.9992281,0.0001909729,0.0002345653,0.0000514751,0.0001125258,0.0001823542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0010418,0.00005160233,0.9860033,0.00002227796,0.00006707689,0.000348318,0.00009000884,0.0004370535,0.0007503252,0.00003652051,0.000463589,0.01068803],"study_design_scores_gemma":[0.00003047749,0.0005583529,0.9965016,0.000009892157,0.00005542616,0.0008476411,0.000113221,0.0009287657,0.0002472023,0.0001359039,0.0005648009,0.000006668367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998565,0.000377894,0.0001068428,0.00008754548,0.000007432435,0.000007328478,0.0004229123,0.000004791182,0.0004203758],"genre_scores_gemma":[0.9988136,0.00009147613,0.0000551645,0.00004944801,0.000008983518,0.000005514091,0.0008953182,0.000002283504,0.0000782857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002111266,"threshold_uncertainty_score":0.004197955,"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."}}