{"id":"W4406351953","doi":"10.1200/jco-24-01534","title":"Accelerating the Future of Oncology Drug Development: The Role of Consortia in the Delivery of Precision Oncology Early Phase Clinical Trials","year":2025,"lang":"en","type":"review","venue":"Journal of Clinical Oncology","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Snowball sampling; Medicine; Clinical trial; Scope (computer science); Drug development; Timeline; Government (linguistics); Clinical Oncology; Regulatory science; Oncology; Cancer; Internal medicine; Pharmacology; Drug; Pathology; Computer science","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":["metaresearch","metaepi_narrow","metaepi_broad","research_integrity"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.3330953,0.0007016056,0.02385664,0.0004072794,0.0001413579,0.00002655568,0.00422057,0.003842815,0.0002510673],"category_scores_gemma":[0.6073784,0.0002977904,0.005395179,0.000997833,0.002464143,0.0001027697,0.0008342525,0.008495801,0.000006947238],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002978945,"about_ca_system_score_gemma":0.01948584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001679636,"about_ca_topic_score_gemma":0.000108936,"domain_scores_codex":[0.705717,0.2170128,0.07319752,0.001044217,0.002115954,0.0009125053],"domain_scores_gemma":[0.1416279,0.8046196,0.05046116,0.001294098,0.001733416,0.0002638934],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003338558,0.00588417,0.000123361,0.001945199,0.001906985,0.00008204168,0.0006229779,0.000001083615,0.000001585958,0.009446716,0.003415126,0.9732322],"study_design_scores_gemma":[0.008494185,0.009572606,0.0001777034,0.006541353,0.006469852,0.00009713981,0.001137988,0.00001479987,0.00001387872,0.1054801,0.8617436,0.0002568139],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00589746,0.967634,0.001682633,0.00305052,0.01103358,0.005716731,0.0002138948,0.00001401282,0.004757133],"genre_scores_gemma":[0.0008259465,0.8411114,0.1540184,0.0005804853,0.003261086,0.00009320788,0.000003498207,0.00005025799,0.00005574043],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9729754,"threshold_uncertainty_score":0.9999474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8233383892293199,"score_gpt":0.7297194711303056,"score_spread":0.09361891809901435,"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."}}