{"id":"W4385483365","doi":"10.1158/1078-0432.ccr-23-0917","title":"The New NCI Precision Medicine Trials","year":2023,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Cancer Institute","keywords":"Precision medicine; Clinical trial; Medicine; Medical physics; Targeted therapy; Matching (statistics); Intensive care medicine; Oncology; Cancer; Internal medicine; Pathology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2066839,0.001465768,0.003028519,0.002082356,0.001758113,0.009957141,0.003831523,0.004610439,0.02086788],"category_scores_gemma":[0.1715091,0.001065839,0.002985519,0.003255941,0.003493944,0.006297268,0.006708615,0.009694504,0.004087169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007888222,"about_ca_system_score_gemma":0.02648237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003338021,"about_ca_topic_score_gemma":0.00720985,"domain_scores_codex":[0.8450072,0.1206377,0.008528326,0.006524104,0.01753878,0.00176389],"domain_scores_gemma":[0.8696664,0.06586707,0.01620155,0.02366137,0.0155575,0.009046087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01484223,0.0005201547,0.002693797,0.005774434,0.001666636,0.0001121032,0.0004316254,0.001817251,0.001174021,0.219121,0.2582191,0.4936277],"study_design_scores_gemma":[0.0183777,0.003736849,0.003080051,0.005029794,0.0009514344,0.0002043323,0.000119469,0.001373205,0.001134051,0.07609485,0.8897517,0.0001466116],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0160126,0.1673455,0.1790181,0.239095,0.05115398,0.07047766,0.03670182,0.002953279,0.2372421],"genre_scores_gemma":[0.07915007,0.05512965,0.4249231,0.1936469,0.01798248,0.166624,0.01790165,0.001318878,0.04332337],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2066839,"threshold_uncertainty_score":0.9783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4534873555288127,"score_gpt":0.6143864141593111,"score_spread":0.1608990586304984,"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."}}