{"id":"W2921347530","doi":"10.1093/annonc/mdz088","title":"Molecular screening to select therapy for advanced cancer?","year":2019,"lang":"en","type":"letter","venue":"Annals of Oncology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"","keywords":"Medicine; Cancer; Oncology; Medical physics; Internal medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001654744,0.0002875249,0.000556635,0.0001006523,0.00003446542,0.00001151737,0.000401076,0.0008470299,0.00001855836],"category_scores_gemma":[0.0001574493,0.0003025668,0.0002942065,0.00008679186,0.00004883647,0.000001660024,0.0001154527,0.0002765745,0.000005255972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002358816,"about_ca_system_score_gemma":0.0005913657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007526091,"about_ca_topic_score_gemma":0.0000415667,"domain_scores_codex":[0.9984316,0.00005574724,0.000333276,0.0005631411,0.0001222592,0.0004940114],"domain_scores_gemma":[0.9986012,0.0001375211,0.0002830409,0.0004816053,0.0004378751,0.0000587423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004166368,0.00003191183,0.0000358373,0.00005519867,0.0002332496,0.00001083446,0.00001698284,0.001182119,0.1087538,0.00001197114,0.8050994,0.0841521],"study_design_scores_gemma":[0.0008190084,0.004259699,0.00002191898,0.00003017105,0.00002206064,0.000003299047,0.00000446653,0.00001108997,0.1866888,0.00005584709,0.8078079,0.0002757805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1212143,0.01696832,0.008256594,0.8448561,0.001749393,0.002815232,0.00165414,0.00002065692,0.002465234],"genre_scores_gemma":[0.01239595,0.007020497,0.003086806,0.9723324,0.002687701,0.0004601464,0.00103056,0.0001191703,0.0008668008],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1274762,"threshold_uncertainty_score":0.9999427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04743171679340498,"score_gpt":0.3740834755179944,"score_spread":0.3266517587245894,"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."}}