{"id":"W2950108952","doi":"10.1186/s13063-019-3471-8","title":"The randomization-induced risk of a trial failing to attain its target power: assessment and mitigation","year":2019,"lang":"en","type":"letter","venue":"Trials","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Randomization; Medicine; Restricted randomization; Power (physics); Randomized controlled trial; Statistical power; Mendelian randomization; Clinical trial; Risk analysis (engineering); Computer science; Statistics; Actuarial science; Mathematics; Surgery; Economics; Internal 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.0628558,0.000482355,0.00385695,0.0001681645,0.0001896623,0.0001959014,0.0005062327,0.001098128,0.0002957403],"category_scores_gemma":[0.6308181,0.0003098721,0.0006296324,0.0002562308,0.0000948701,0.00006131974,0.0001701397,0.00137733,0.00003633337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001088946,"about_ca_system_score_gemma":0.0003629829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009981,"about_ca_topic_score_gemma":0.000001306913,"domain_scores_codex":[0.9711878,0.02154303,0.004892602,0.0007329723,0.001168553,0.0004750478],"domain_scores_gemma":[0.5701298,0.4253771,0.003270627,0.0007790772,0.0003733302,0.00007008034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.04347704,0.0001478551,0.00002651883,0.000692113,0.00191924,0.00001398286,0.0002866877,0.00003053345,0.0007915808,0.0116094,0.9350753,0.005929766],"study_design_scores_gemma":[0.1686003,0.001335517,0.00002138792,0.0006269033,0.002259756,0.00000174247,0.00006035116,0.000397295,0.001854183,0.7659225,0.05813879,0.0007813328],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.022338,0.0004463207,0.4220578,0.4608659,0.02402069,0.06387895,0.003863304,0.000299209,0.002229769],"genre_scores_gemma":[0.002371135,0.0003413345,0.9271845,0.05252961,0.01422056,0.001413346,0.00008169049,0.0002779733,0.001579857],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8769365,"threshold_uncertainty_score":0.9999353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5402051692395645,"score_gpt":0.5942785201324021,"score_spread":0.0540733508928376,"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."}}