{"id":"W3005782611","doi":"10.1016/j.jclinepi.2020.01.020","title":"CONSORT endorsement improves the quality of reports of randomized clinical trials in dentistry","year":2020,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa; Ottawa Hospital","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Consolidated Standards of Reporting Trials; Medicine; Randomized controlled trial; Dentistry; Descriptive statistics; Interquartile range; Clinical trial; Sample size determination; Family medicine; MEDLINE; Research design; Alternative medicine; Surgery; Statistics","routes":{"ca_aff":true,"ca_fund":false,"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_broad","insufficient_payload"],"consensus_categories":["metaresearch","metaepi_broad"],"category_scores_codex":[0.9786773,0.0002386499,0.06070865,0.0001622935,0.0000254668,0.00002967283,0.001720118,0.0003828605,0.00193775],"category_scores_gemma":[0.9940736,0.00008265526,0.02456817,0.0005252381,0.001058948,0.00009681079,0.0002143315,0.001081854,0.00003301127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008927592,"about_ca_system_score_gemma":0.0004310603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002923067,"about_ca_topic_score_gemma":0.00001274552,"domain_scores_codex":[0.01066386,0.6969745,0.2883314,0.000763439,0.00300264,0.0002641112],"domain_scores_gemma":[0.004817399,0.7674465,0.2236079,0.001857615,0.001919088,0.0003515565],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01220749,0.0003821892,0.9171442,0.0001113343,0.002462481,0.00005804344,0.0001269927,0.0001381545,0.0001011078,0.004240532,0.03622718,0.02680024],"study_design_scores_gemma":[0.07365488,0.001250074,0.7142717,0.000285553,0.003509923,0.0002025405,0.001177634,0.005973277,0.00006066743,0.1660185,0.03327768,0.0003175742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9318328,0.002989125,0.03646139,0.02450291,0.002605737,0.001140533,0.000008671197,0.000001051885,0.0004578092],"genre_scores_gemma":[0.9867676,0.001062909,0.00808395,0.003326968,0.0006038923,0.000008389149,8.61364e-7,0.000005385052,0.0001400461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2028725,"threshold_uncertainty_score":0.9989746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9704371722934915,"score_gpt":0.7607308662501758,"score_spread":0.2097063060433156,"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."}}