{"id":"W2301711657","doi":"10.1016/j.conctc.2016.02.004","title":"Survival analysis following dynamic randomization","year":2016,"lang":"en","type":"article","venue":"Contemporary Clinical Trials Communications","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Randomization; Martingale (probability theory); Computer science; Mathematics; Statistics; Algorithm; Econometrics; Randomized controlled trial; 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02503816,0.0006431316,0.001498714,0.001939729,0.0004239531,0.001354437,0.001624071,0.001079759,0.005919512],"category_scores_gemma":[0.05979947,0.0003281125,0.001365522,0.001459281,0.001955687,0.002281014,0.001731907,0.002221632,0.0007262151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008297529,"about_ca_system_score_gemma":0.002009414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005933348,"about_ca_topic_score_gemma":0.000359137,"domain_scores_codex":[0.9838235,0.0123573,0.0004036088,0.001626274,0.001423128,0.0003662235],"domain_scores_gemma":[0.9591293,0.03285949,0.002786989,0.003324266,0.001483288,0.0004166926],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001195839,0.0002390267,0.006194824,0.000523319,0.0005059963,0.0004327991,0.0002814513,0.09556992,0.002716515,0.5851415,0.004931211,0.3022676],"study_design_scores_gemma":[0.0005328516,0.001106533,0.003052355,0.0001133209,0.0001700317,0.0003681744,0.00005881247,0.4584875,0.001937059,0.523765,0.01032431,0.00008417077],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007722035,0.0003818538,0.9900271,0.0003966142,0.0001207638,0.0002058028,0.0001390631,0.0001950089,0.0008117915],"genre_scores_gemma":[0.4762905,0.001329032,0.5112323,0.001116749,0.000759434,0.002679752,0.001026549,0.0002149182,0.005350889],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9749618,"threshold_uncertainty_score":0.132416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7170120616247608,"score_gpt":0.6107465469245013,"score_spread":0.1062655147002596,"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."}}