{"id":"W4412063881","doi":"10.1002/pds.70177","title":"Core Concepts in Pharmacoepidemiology: Multi‐Database Distributed Data Networks","year":2025,"lang":"en","type":"review","venue":"Pharmacoepidemiology and Drug Safety","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"Fonds de Recherche du Québec - Santé; Jewish General Hospital; McGill University","keywords":"Pharmacoepidemiology; Comparability; Data science; Generalizability theory; Representativeness heuristic; Observational study; Health informatics; Medicine; Protocol (science); Computer science; Database; Data mining; Pharmacovigilance; Public health; Drug","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03336399,0.00117985,0.001758965,0.005082115,0.002070018,0.0164108,0.006456747,0.005489733,0.003270717],"category_scores_gemma":[0.05610549,0.001734666,0.002238838,0.01025995,0.00990104,0.03155411,0.01052951,0.008555406,0.001633764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004474094,"about_ca_system_score_gemma":0.005190824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002473752,"about_ca_topic_score_gemma":0.0007856236,"domain_scores_codex":[0.9564585,0.02252684,0.004582311,0.006568322,0.008845288,0.001018756],"domain_scores_gemma":[0.9403357,0.03773164,0.004136524,0.01116691,0.004775926,0.001853366],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008018531,0.00006632334,0.001768637,0.001162036,0.00009534072,0.0002876998,0.00084462,0.007614793,0.0003748944,0.9020122,0.007906718,0.07778656],"study_design_scores_gemma":[0.00009677837,0.0001019,0.001176337,0.001027579,0.00007673525,0.001103543,0.0006594682,0.0352052,0.0008218121,0.7567049,0.2029515,0.00007425473],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.002438141,0.01193176,0.9589725,0.01431004,0.001006788,0.0007410155,0.0004450393,0.0004788683,0.009675809],"genre_scores_gemma":[0.1286502,0.02679469,0.8219683,0.007491653,0.004487366,0.003865628,0.001332935,0.0003853066,0.005023944],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.966636,"threshold_uncertainty_score":0.1764477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2889124915498719,"score_gpt":0.5015350606688584,"score_spread":0.2126225691189865,"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."}}