{"id":"W2916449784","doi":"10.1002/sim.8119","title":"Optimising the two‐stage randomised trial design when some participants are indifferent in their treatment preferences","year":2019,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Impact","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Preference; Randomized controlled trial; Treatment and control groups; Treatment effect; Medicine; Clinical trial; Research design; Psychology; Statistics; Mathematics; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.3693763,0.003051313,0.006162073,0.001888063,0.0008929354,0.002917268,0.00362683,0.006992755,0.004282063],"category_scores_gemma":[0.4114853,0.002367078,0.005850496,0.002286752,0.00583076,0.005410722,0.004185461,0.007446427,0.001256797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002372812,"about_ca_system_score_gemma":0.007169557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004493099,"about_ca_topic_score_gemma":0.0006698849,"domain_scores_codex":[0.468487,0.5010388,0.01146294,0.007488455,0.01004092,0.001481846],"domain_scores_gemma":[0.5984702,0.343193,0.01885546,0.02934899,0.008155435,0.001976992],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.05567407,0.001977188,0.007949741,0.01327291,0.006800582,0.0008829202,0.004282767,0.1116606,0.01127798,0.4047641,0.007010603,0.3744465],"study_design_scores_gemma":[0.0354601,0.02314561,0.004617323,0.002863592,0.003980476,0.0008774063,0.0002909618,0.264753,0.008744112,0.627032,0.02750614,0.0007293838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008252745,0.001040317,0.9726254,0.001536344,0.0004407212,0.01457137,0.0001334642,0.0002087499,0.001190908],"genre_scores_gemma":[0.06687308,0.0005347267,0.8979418,0.001167466,0.0001823647,0.03237144,0.00009874438,0.00004874785,0.0007817036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6306237,"threshold_uncertainty_score":0.7776713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6713702372673928,"score_gpt":0.5579903408757302,"score_spread":0.1133798963916626,"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."}}