{"id":"W4362566265","doi":"10.1007/174_2023_383","title":"Randomized Clinical Trials: Pitfalls in Design, Analysis, Presentation, and Interpretation","year":2023,"lang":"en","type":"book-chapter","venue":"Medical radiology","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Randomized controlled trial; Interpretation (philosophy); Presentation (obstetrics); Medicine; Clinical trial; Medical physics; Drug development; Engineering ethics; Intensive care medicine; Computer science; Engineering; Drug; Pathology; Surgery; Pharmacology","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01122369,0.0002488711,0.00323415,0.00063031,0.00002846449,0.00001111423,0.0000860029,0.0008213674,0.0009856017],"category_scores_gemma":[0.01802683,0.0001713176,0.0006025201,0.0001273808,0.0005584866,0.00002735844,0.0000392357,0.0005897361,0.00006340002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009629938,"about_ca_system_score_gemma":0.0005297899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006798618,"about_ca_topic_score_gemma":0.0001400852,"domain_scores_codex":[0.9948902,0.002067395,0.001930782,0.0005339303,0.0003783614,0.0001993301],"domain_scores_gemma":[0.9838421,0.0150649,0.0004633021,0.0002340948,0.00009208438,0.0003035508],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.2308127,0.0006398986,0.01086326,0.0005473963,0.09135932,0.003937916,0.00410524,0.0002335123,0.000005894804,0.1245988,0.04994117,0.4829549],"study_design_scores_gemma":[0.7343585,0.001513722,0.009363548,0.00148282,0.06560991,0.0003261758,0.0001458016,0.07168552,0.00000277962,0.09062923,0.02392117,0.0009607513],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.004026608,0.03625854,0.5743947,0.05036063,0.008569397,0.02358969,0.0002580704,0.0008486278,0.3016937],"genre_scores_gemma":[0.1627238,0.07772647,0.004788929,0.007632141,0.003653966,0.001647289,0.005964744,0.0003090149,0.7355536],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5696058,"threshold_uncertainty_score":0.9999276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.117076026823529,"score_gpt":0.4857346847868115,"score_spread":0.3686586579632825,"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."}}