{"id":"W4382602075","doi":"10.1016/j.cct.2023.107277","title":"Reporting quality of CONSORT flow diagrams in published early phase dose-finding clinical trial reports: Improvement is needed","year":2023,"lang":"en","type":"article","venue":"Contemporary Clinical Trials","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Cancer Research; Medical Research Council; National Institute for Health and Care Research","keywords":"Medicine; Consolidated Standards of Reporting Trials; Clinical trial; Medical physics; Interpretability; Information retrieval; Computer science; Internal medicine; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad","scholarly_communication","insufficient_payload"],"consensus_categories":["metaresearch","metaepi_broad"],"category_scores_codex":[0.9220935,0.0006526336,0.02576504,0.0009383897,0.0001513377,0.001448657,0.002105773,0.0007826986,0.003863439],"category_scores_gemma":[0.9408746,0.0003593771,0.01409333,0.004339561,0.0003952966,0.0009390216,0.0006100076,0.001033353,0.0005161689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003928829,"about_ca_system_score_gemma":0.001275913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002404574,"about_ca_topic_score_gemma":0.00003249499,"domain_scores_codex":[0.1916665,0.2368823,0.5449671,0.007798544,0.01715498,0.00153052],"domain_scores_gemma":[0.1748822,0.4054237,0.3934309,0.01955839,0.004893756,0.001810967],"domain_codex":"reporting","domain_gemma":"methods","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.01108194,0.002018443,0.6070657,0.0001214592,0.001483421,0.0004369489,0.0004461305,0.000005413257,0.0002169085,0.000169315,0.229344,0.1476103],"study_design_scores_gemma":[0.4075111,0.0109075,0.3132718,0.001313677,0.002159223,0.00002671064,0.008408126,0.009483576,0.0006563159,0.103922,0.138761,0.003578904],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776859,0.0003516185,0.0009108356,0.003436374,0.007114893,0.006834165,0.00009160776,0.00005480781,0.003519816],"genre_scores_gemma":[0.9916642,0.00009457197,0.000974806,0.0009279585,0.001348767,0.0002687289,0.00009118006,0.00003691433,0.004592891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3964292,"threshold_uncertainty_score":0.9998858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9801797986658639,"score_gpt":0.7437191790393494,"score_spread":0.2364606196265145,"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."}}