{"id":"W4403361508","doi":"10.1016/j.jdent.2024.105407","title":"Altmetric and impact analysis of randomized clinical trials in dentistry","year":2024,"lang":"en","type":"article","venue":"Journal of Dentistry","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Dentistry; Randomized controlled trial; Evidence-based dentistry; Medicine; Clinical trial; Orthodontics; Alternative medicine; Surgery","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","scholarly_communication","insufficient_payload"],"consensus_categories":["metaresearch","metaepi_broad"],"category_scores_codex":[0.6504587,0.0002111074,0.01655931,0.004360914,0.00002418032,0.001147338,0.000941928,0.0001567693,0.005693215],"category_scores_gemma":[0.3670015,0.00008938307,0.01617892,0.007313833,0.0001215556,0.0003294362,0.00008545914,0.0003982895,0.00008443014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003988941,"about_ca_system_score_gemma":0.0001856479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001454603,"about_ca_topic_score_gemma":0.00001899815,"domain_scores_codex":[0.8537933,0.07923062,0.05903373,0.0007403278,0.006931804,0.0002702724],"domain_scores_gemma":[0.8277317,0.1403622,0.02820291,0.00174952,0.001554997,0.000398671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003298861,0.0003831907,0.7777455,0.0003277034,0.05913353,0.001886854,0.0002912504,0.000722328,0.0003298801,0.00062212,0.05167607,0.1035827],"study_design_scores_gemma":[0.0414854,0.0002045509,0.7782128,0.0007055267,0.07686133,0.001838242,0.0008781719,0.08583167,0.00007083326,0.009536698,0.003931936,0.0004427795],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9400858,0.02770108,0.03028521,0.0001271002,0.001294243,0.0002562398,0.00002931766,0.00000106534,0.0002199128],"genre_scores_gemma":[0.9960694,0.001025978,0.001479543,0.00001856735,0.0001606287,0.000002227864,0.000001993076,0.000006285307,0.001235418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2834572,"threshold_uncertainty_score":0.9998896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8250556323408108,"score_gpt":0.680430279325393,"score_spread":0.1446253530154178,"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."}}