{"id":"W2790809604","doi":"10.1158/1078-0432.ccr-18-0380","title":"Biomarker Discovery from We to Me: Is Learning from Each Patient a New Approach?","year":2018,"lang":"en","type":"letter","venue":"Clinical Cancer Research","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Pembrolizumab; Cancer; Ovarian cancer; Biomarker discovery; Identification (biology); Mechanism (biology); Medicine; Biomarker; Computational biology; Immunotherapy; Internal medicine; Biology; Proteomics","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":[0.009342808,0.0008997113,0.003165162,0.0012576,0.0020651,0.004388353,0.001816484,0.01165253,0.00569894],"category_scores_gemma":[0.05724979,0.0007186633,0.001327771,0.0007679343,0.004284235,0.009335754,0.001825143,0.03440484,0.00690562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003245022,"about_ca_system_score_gemma":0.002166828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001141877,"about_ca_topic_score_gemma":0.001671128,"domain_scores_codex":[0.9946802,0.002545343,0.0005853954,0.0006505282,0.00121584,0.0003226137],"domain_scores_gemma":[0.9737152,0.01693123,0.0009869114,0.00149585,0.004641188,0.002229663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002261985,0.0001128981,0.002694561,0.0003751231,0.0001112172,0.002472554,0.0002270656,0.0003494961,0.0006197251,0.006577458,0.784786,0.2014476],"study_design_scores_gemma":[0.000409997,0.0004684278,0.002951877,0.002664539,0.0002675634,0.01664995,0.001034199,0.00381012,0.001391077,0.1575751,0.8125855,0.0001918294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005444689,0.01162975,0.001630084,0.9764147,0.008401016,0.00001868691,0.00005385818,0.00006713859,0.001240331],"genre_scores_gemma":[0.02213898,0.03800479,0.004939115,0.8060783,0.1241542,0.0001080271,0.0001707522,0.00009713083,0.004308792],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01165253,"threshold_uncertainty_score":0.04941005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3369151465285287,"score_gpt":0.4959269099669238,"score_spread":0.1590117634383951,"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."}}