{"id":"W2463735421","doi":"10.1177/0272989x16655346","title":"Quantitative Framework for Retrospective Assessment of Interim Decisions in Clinical Trials","year":2016,"lang":"en","type":"article","venue":"Medical Decision Making","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Canadian Institutes of Health Research","keywords":"Interim; Management science; Neglect; Clinical trial; Interim analysis; Set (abstract data type); Dimension (graph theory); Outcome (game theory); Probabilistic logic; Focus (optics); Computer science; Epistemology; Psychology; Medicine; Political science; Artificial intelligence; Economics; Mathematics; Law","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","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1025121,0.0002672101,0.002819442,0.0002635997,0.00006130564,0.00002709315,0.000769648,0.0007779209,0.001949804],"category_scores_gemma":[0.9722494,0.000151574,0.0007807898,0.0004794307,0.0005347566,0.00008209972,0.0003963337,0.0007626604,0.00001782461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001811938,"about_ca_system_score_gemma":0.0003098504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001270343,"about_ca_topic_score_gemma":0.00001301111,"domain_scores_codex":[0.9827325,0.006563248,0.007313525,0.0008744065,0.002026045,0.0004903182],"domain_scores_gemma":[0.09947795,0.8970783,0.001775326,0.0008309261,0.0004890453,0.0003484449],"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":[0.0007442065,0.0003457203,0.00333932,0.00001421793,0.00005757794,0.00001486661,0.00002691746,1.673559e-7,0.00003554731,0.5601035,0.0009773131,0.4343406],"study_design_scores_gemma":[0.003433325,0.001117888,0.02069575,0.006726179,0.00007085181,0.000002213192,0.00006474215,0.001482004,0.00004587917,0.9660059,0.0001663171,0.0001889977],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02665797,0.00002882114,0.968147,0.0009834196,0.00240813,0.001161637,0.0001233685,0.00004248669,0.0004471005],"genre_scores_gemma":[0.2725462,0.0001263369,0.7267019,0.0001978184,0.0002873598,0.00009335938,2.989958e-7,0.00003377832,0.00001300545],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8905151,"threshold_uncertainty_score":0.9989625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8337389509473252,"score_gpt":0.7541194232979128,"score_spread":0.07961952764941238,"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."}}