{"id":"W2111616613","doi":"10.1002/sim.5827","title":"Inverse probability weighted estimating equations for randomized trials in transfusion medicine","year":2013,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Confounding; Randomized controlled trial; Inverse probability; Clinical trial; Platelet transfusion; Intensive care medicine; Platelet; Emergency medicine; Internal medicine; Statistics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.0719812,0.0003763464,0.004775713,0.0004097711,0.00008790536,0.00001621014,0.0003031996,0.0002592956,0.003334058],"category_scores_gemma":[0.8818281,0.0002484934,0.0001559999,0.0006322368,0.00127239,0.00008858288,0.00004411931,0.0005527465,0.00001453401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001770994,"about_ca_system_score_gemma":0.0001162557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001040437,"about_ca_topic_score_gemma":0.0005669044,"domain_scores_codex":[0.984082,0.007677987,0.006297556,0.0006372635,0.0007622539,0.0005428735],"domain_scores_gemma":[0.3831055,0.6144089,0.001133861,0.0005675319,0.0005453125,0.0002389182],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.007445606,0.0003905973,0.000173305,0.00127077,0.0001100122,0.00001335658,0.00279958,0.00004741611,0.0003675811,0.9159653,0.02048232,0.05093422],"study_design_scores_gemma":[0.1078471,0.000253986,0.00008022649,0.0008845484,0.0002777978,8.673316e-7,0.000194988,0.1528567,0.00001775755,0.7373855,0.00002608147,0.0001744315],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001968788,0.00004715056,0.9802781,0.00557064,0.001433708,0.009570028,0.000182114,0.00006974602,0.0008797272],"genre_scores_gemma":[0.003573237,0.0001042657,0.9929147,0.0003674896,0.0006857097,0.002144737,0.00005266746,0.00004896643,0.0001081675],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8098469,"threshold_uncertainty_score":0.9999967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5703369182139181,"score_gpt":0.5825705942847677,"score_spread":0.01223367607084958,"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."}}