{"id":"W2573940597","doi":"10.1002/pds.4164","title":"<scp>ADHD</scp> medications and cardiovascular adverse events in children and adolescents: cross‐national comparison of risk communication in drug labeling","year":2017,"lang":"en","type":"article","venue":"Pharmacoepidemiology and Drug Safety","topic":"Pharmaceutical studies and practices","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Adverse effect; Health professionals; Consistency (knowledge bases); Stroke (engine); Adverse drug event; Myocardial infarction; Health care; Pharmacoepidemiology; Drug; Stimulant; Family medicine; Psychiatry; Medical prescription; Pharmacology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00995622,0.0002035216,0.0003928933,0.00161396,0.0004994636,0.00146665,0.0006420635,0.0008788615,0.002128616],"category_scores_gemma":[0.03061108,0.0003269338,0.001024395,0.001415256,0.001003739,0.001025325,0.001424843,0.001044565,0.0002282632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001237002,"about_ca_system_score_gemma":0.0009830967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01467467,"about_ca_topic_score_gemma":0.01739059,"domain_scores_codex":[0.9915337,0.003578761,0.001401654,0.000841177,0.002295819,0.0003489464],"domain_scores_gemma":[0.9513812,0.02034769,0.02193408,0.001788202,0.003509344,0.001039483],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003269103,0.0001331219,0.9918404,0.0001443612,0.0003052205,0.00005859357,0.002845399,0.00004755562,0.0001560431,0.00009187678,0.0002006479,0.003849973],"study_design_scores_gemma":[0.00001639333,0.0001392523,0.9976963,0.00007875036,0.0000830004,0.00009025596,0.001407265,0.00006841637,0.00008717917,0.00002156396,0.0003058367,0.000005768033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998247,0.0004399455,0.00006011939,0.00008689634,0.00001029981,0.00004262344,0.0002353013,0.000002275908,0.000875416],"genre_scores_gemma":[0.9988981,0.0002693732,0.0001856601,0.00008350563,0.00001112708,0.00005701512,0.000381045,0.000004323917,0.0001097783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9900438,"threshold_uncertainty_score":0.05265421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05171905236026122,"score_gpt":0.423898280696101,"score_spread":0.3721792283358398,"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."}}