{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005071828,0.0009258928,0.001614197,0.001200061,0.002219033,0.003457004,0.001380383,0.03528689,0.006217202],"category_scores_gemma":[0.02544987,0.0006939376,0.001209837,0.0006058303,0.003814528,0.003830274,0.001846636,0.03935577,0.004298582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004283058,"about_ca_system_score_gemma":0.003106179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002179873,"about_ca_topic_score_gemma":0.004488082,"domain_scores_codex":[0.9964221,0.00147086,0.0003114185,0.0003543443,0.001049357,0.0003920218],"domain_scores_gemma":[0.9882901,0.007587931,0.0005565871,0.0004853157,0.00147824,0.001601883],"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":[0.0001392517,0.0001063578,0.001880371,0.00009812756,0.00003739996,0.00234257,0.00008788962,0.00019578,0.0005200804,0.01154138,0.9420032,0.04104765],"study_design_scores_gemma":[0.000298113,0.0001859685,0.0015678,0.0004230927,0.00006905943,0.005002236,0.0002861549,0.001199437,0.0005996936,0.05487062,0.9354245,0.00007329567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002484925,0.002599916,0.0001949055,0.9846201,0.01030605,0.000007977745,0.00001775771,0.00001693451,0.001987917],"genre_scores_gemma":[0.005638387,0.003599804,0.0005841563,0.9113374,0.07243072,0.00004206342,0.00003370562,0.0000170855,0.006316683],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03528689,"threshold_uncertainty_score":0.03107589,"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."}}