{"id":"W4400056122","doi":"10.1002/pst.2414","title":"<scp>T3</scp> + 3: 3 + 3 Design With Delayed Outcomes","year":2024,"lang":"en","type":"article","venue":"Pharmaceutical Statistics","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of General Medical Sciences; National Cancer Institute; National Institutes of Health","keywords":"Isotonic regression; Maximum tolerated dose; Toxicity; Clinical trial; Outcome (game theory); Research design; Duration (music); Clinical study design; Computer science; Logistic regression; Medicine; Reliability engineering; Statistics; Mathematics; Internal medicine; Engineering; Machine learning","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":[0.01565156,0.001066106,0.001232092,0.0006158785,0.0004628363,0.0009465219,0.001255775,0.001188044,0.01735145],"category_scores_gemma":[0.02331057,0.0004360861,0.00192391,0.0006637014,0.001056376,0.0006757611,0.001010724,0.001754172,0.001840967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000916246,"about_ca_system_score_gemma":0.003480693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000672218,"about_ca_topic_score_gemma":0.0009493315,"domain_scores_codex":[0.986681,0.0104032,0.0005383607,0.0009434015,0.001105004,0.0003289861],"domain_scores_gemma":[0.9802967,0.01231831,0.002220754,0.00280052,0.00156622,0.0007975613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.03415636,0.002712995,0.01130356,0.002827226,0.00151737,0.0005459015,0.0004159705,0.1348127,0.01727719,0.1439492,0.02373564,0.6267457],"study_design_scores_gemma":[0.02229075,0.06351337,0.0143291,0.0005224585,0.002146503,0.001313632,0.000156271,0.5650862,0.02918133,0.1642264,0.1368247,0.0004093607],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0416545,0.0004877415,0.9358398,0.0006642698,0.0005227423,0.008655961,0.001023907,0.001453403,0.00969761],"genre_scores_gemma":[0.3157387,0.0004024452,0.6535512,0.001718107,0.0002011172,0.02059479,0.0007872095,0.0004039365,0.006602562],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01735145,"threshold_uncertainty_score":0.08277434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6329948285871682,"score_gpt":0.5963440292239538,"score_spread":0.03665079936321436,"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."}}