{"id":"W4403562922","doi":"","title":"Critical concepts in adaptive clinical trials","year":2018,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"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":[0.07401159,0.0005108352,0.004483159,0.000607721,0.0001943438,0.0008729785,0.003704631,0.0005698003,0.03938323],"category_scores_gemma":[0.6465455,0.0004167007,0.0007673602,0.001207778,0.001987838,0.001276208,0.001595018,0.001428702,0.0001342925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001257713,"about_ca_system_score_gemma":0.0003725628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001456988,"about_ca_topic_score_gemma":0.00004474855,"domain_scores_codex":[0.9715266,0.01763508,0.007650269,0.001025405,0.001345053,0.0008175989],"domain_scores_gemma":[0.7305358,0.2643793,0.002302497,0.0009715027,0.001116741,0.0006941062],"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":[0.008418975,0.005027079,0.2122679,0.0004063882,0.001314356,0.0004446346,0.0005081893,0.000003978495,0.007598394,0.2249275,0.3114615,0.2276211],"study_design_scores_gemma":[0.002216385,0.0001242335,0.07914076,0.0009124468,0.0002645951,0.000008207609,0.00008987082,0.0001511946,0.004092527,0.9105661,0.001942682,0.0004910294],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4994445,0.01195138,0.3293189,0.003459625,0.02826168,0.0100291,0.00137626,0.0004710066,0.1156875],"genre_scores_gemma":[0.6919817,0.00256567,0.3002564,0.001136647,0.003456436,0.0001294291,0.000001992854,0.0001449829,0.0003267397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6856386,"threshold_uncertainty_score":0.9998285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9469908304507865,"score_gpt":0.8234241964745217,"score_spread":0.1235666339762648,"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."}}