{"id":"W2085436062","doi":"10.1007/s11229-014-0602-3","title":"Early stopping of RCTs: two potential issues for error statistics","year":2014,"lang":"en","type":"article","venue":"Synthese","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Ottawa Hospital","funders":"","keywords":"Philosophy of science; Philosophy of language; Interim; Early stopping; Randomized controlled trial; Statistics; Metaphysics; Epistemology; Econometrics; Computer science; Mathematics; Philosophy; Medicine; Artificial intelligence; Law; Political science; Surgery","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":["metaresearch"],"category_scores_codex":[0.6215456,0.003240918,0.009558041,0.005561859,0.003389434,0.01006101,0.009392351,0.01642486,0.008334426],"category_scores_gemma":[0.9103957,0.003616006,0.007842785,0.005690999,0.01681309,0.017335,0.007397322,0.02290249,0.001242346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00495379,"about_ca_system_score_gemma":0.007133127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001724071,"about_ca_topic_score_gemma":0.00198811,"domain_scores_codex":[0.2499704,0.6380944,0.05651067,0.02026762,0.03322724,0.001929632],"domain_scores_gemma":[0.02334651,0.9190392,0.01667998,0.0315509,0.008649516,0.0007339573],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003282634,0.0003133503,0.007868911,0.007582773,0.005383159,0.001184425,0.007741687,0.01018018,0.0008386635,0.7282199,0.01537985,0.2120244],"study_design_scores_gemma":[0.001604503,0.0007196286,0.003209471,0.003252638,0.001145716,0.0008911807,0.0004220976,0.03015718,0.001857029,0.9411305,0.01534451,0.0002656086],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005010416,0.006640103,0.9472639,0.03276759,0.002614607,0.001275276,0.0002396542,0.0004072183,0.003781279],"genre_scores_gemma":[0.2236248,0.002561453,0.7351886,0.02387578,0.004310293,0.00595447,0.0002391949,0.0007070829,0.00353828],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3784544,"threshold_uncertainty_score":0.4667017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4603792344541353,"score_gpt":0.5776411474025115,"score_spread":0.1172619129483762,"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."}}