{"id":"W1955080364","doi":"10.1002/cjs.11260","title":"Covariate‐adjusted response adaptive designs incorporating covariates with and without treatment interactions","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Optimal Experimental Design Methods","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Covariate; Statistical inference; Inference; Computer science; Conditional independence; Independence (probability theory); R package; Econometrics; Machine learning; Statistics; Artificial intelligence; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003163794,0.0001852672,0.0004010772,0.0005310769,0.0001934573,0.0003618724,0.0002411402,0.00004851698,0.00008811449],"category_scores_gemma":[0.004673653,0.0001270605,0.00003107614,0.0004442343,0.0002909322,0.0004034546,0.00001633495,0.0001830911,0.00001923065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006025529,"about_ca_system_score_gemma":0.003979989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00437203,"about_ca_topic_score_gemma":0.01348434,"domain_scores_codex":[0.9972845,0.001044385,0.0006751317,0.0002116753,0.0005382959,0.0002460035],"domain_scores_gemma":[0.9944557,0.002096804,0.0006916328,0.0002059832,0.001303562,0.001246352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.04955706,0.0007417905,0.294321,0.00002334013,0.002410218,0.01191293,0.1064289,0.03732031,0.02221658,0.2627521,0.05487185,0.1574439],"study_design_scores_gemma":[0.03089395,0.07359219,0.2149314,0.0009412357,0.0015931,0.01806277,0.1712836,0.1496139,0.01445609,0.2801971,0.04065305,0.003781552],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0807621,0.0002056486,0.9169468,0.000400671,0.0004412378,0.0002109527,0.0003170253,0.000006639362,0.0007089298],"genre_scores_gemma":[0.521915,0.000001408216,0.4776653,0.00005092958,0.00003371454,0.000002178908,0.000001562154,0.00001204682,0.0003178641],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4411529,"threshold_uncertainty_score":0.7524579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3704392104197118,"score_gpt":0.4250319695548762,"score_spread":0.05459275913516443,"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."}}