{"id":"W2051497763","doi":"10.1186/1471-2431-13-192","title":"Population-based analysis of non-steroidal anti-inflammatory drug use among children in four European countries in the SOS project: what size of data platforms and which study designs do we need to assess safety issues?","year":2013,"lang":"en","type":"article","venue":"BMC Pediatrics","topic":"Inflammatory mediators and NSAID effects","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"Sanofi; Pfizer; Teva Pharmaceutical Industries; Celgene; AstraZeneca; Eli Lilly and Company","keywords":"Medicine; Medical prescription; Population; Incidence (geometry); Demography; Adverse effect; Pharmacoepidemiology; Pediatrics; Environmental health; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.003306499,0.0002871421,0.0008188351,0.001013873,0.00006832717,0.0001496998,0.0004467168,0.0001022056,0.00001347936],"category_scores_gemma":[0.0008667771,0.0002029088,0.00007304035,0.002224671,0.00004918189,0.001139406,0.0001869361,0.0002818162,0.000004034537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005986502,"about_ca_system_score_gemma":0.0002453128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002329681,"about_ca_topic_score_gemma":0.004838814,"domain_scores_codex":[0.9970573,0.0004202268,0.0009779349,0.0004616196,0.0007486516,0.0003342382],"domain_scores_gemma":[0.9967541,0.001442555,0.0004243187,0.001016912,0.0002455449,0.0001166176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001749869,0.0002171965,0.9939148,0.0002815289,0.0001083628,0.00001882595,0.004054235,0.0008914917,0.00003928437,0.000002826788,0.0001442977,0.0001521236],"study_design_scores_gemma":[0.002316215,0.0001603918,0.988538,0.0001203379,0.0007864915,0.000001433695,0.002804864,0.005022021,0.00003352029,0.000002550907,0.000005133721,0.0002090776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959998,0.0002156735,0.0001291291,0.00008145373,0.0000781607,0.003406305,0.00006381689,0.00001971982,0.000005911531],"genre_scores_gemma":[0.9986382,0.0002693336,0.000638271,0.00005522187,0.000169654,0.00004401067,0.0001381953,0.00003624181,0.00001091503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005376878,"threshold_uncertainty_score":0.8274382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04303654438730351,"score_gpt":0.301783582295882,"score_spread":0.2587470379085784,"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."}}