{"id":"W7095305852","doi":"","title":"zation Surveillance in Ontario (VISION); and two are European–the Exploring and Understanding Adverse Drug","year":2014,"lang":"en","type":"article","venue":"","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Drug; Public health surveillance; Adverse effect; Postmarketing surveillance; Pharmacovigilance; MEDLINE","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002165896,0.0003444203,0.0002721398,0.001822734,0.002762404,0.00163312,0.0009610335,0.0005706852,0.009453451],"category_scores_gemma":[0.00602447,0.0003402032,0.000402463,0.003836401,0.0009832648,0.0007210734,0.001410254,0.0007051192,0.0010915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03799319,"about_ca_system_score_gemma":0.08110634,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9726741,"about_ca_topic_score_gemma":0.9880022,"domain_scores_codex":[0.9973894,0.0003099768,0.0001650418,0.0003613598,0.001208512,0.0005657615],"domain_scores_gemma":[0.9889108,0.001054049,0.001691455,0.0005252863,0.00568853,0.002129867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004199228,0.0001236749,0.751713,0.0006499421,0.0001589272,0.0005911203,0.004944493,0.0004824291,0.002428527,0.005585319,0.08800323,0.1448995],"study_design_scores_gemma":[0.00008132868,0.0001084772,0.7304092,0.0002846167,0.000089077,0.0002661104,0.00386079,0.0008845839,0.000990695,0.0004025933,0.2625765,0.00004607972],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.583206,0.0111268,0.00810313,0.03343283,0.001087545,0.001563511,0.1012377,0.00077711,0.2594655],"genre_scores_gemma":[0.8740245,0.003411879,0.008266254,0.005721926,0.0002010245,0.0003550892,0.02837413,0.0001531287,0.07949214],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9905465,"threshold_uncertainty_score":0.2756612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06606862830812411,"score_gpt":0.2543966036638177,"score_spread":0.1883279753556936,"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."}}