{"id":"W4301800499","doi":"","title":"Medical device vigilance systems: India, US, UK, and Australia","year":2010,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vigilance (psychology); Optometry; Medicine; Psychology; Cognitive psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.003870781,0.0004146872,0.0002743699,0.005160054,0.001151731,0.004871658,0.001038577,0.00161702,0.02091334],"category_scores_gemma":[0.01417318,0.0004416603,0.000431469,0.008107949,0.0009707286,0.002506959,0.00229034,0.001961804,0.004691531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006027654,"about_ca_system_score_gemma":0.01848061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05214906,"about_ca_topic_score_gemma":0.04035811,"domain_scores_codex":[0.995429,0.0005395883,0.0006204215,0.0003593705,0.002254074,0.0007976074],"domain_scores_gemma":[0.9807381,0.002207535,0.004385019,0.0006103936,0.007759448,0.004299545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002117207,0.0001796351,0.08164881,0.001867382,0.00004356167,0.0005931268,0.003623869,0.0002793738,0.001561484,0.02236591,0.5495864,0.3380388],"study_design_scores_gemma":[0.00001610921,0.00008747304,0.2129892,0.001200313,0.00001916988,0.00061747,0.00206256,0.0003709093,0.0003946247,0.0007192424,0.7814861,0.00003672103],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1014894,0.08335582,0.005297552,0.1852521,0.006670765,0.001640017,0.02250922,0.002748381,0.5910369],"genre_scores_gemma":[0.5800549,0.08098251,0.01386689,0.04515479,0.003131222,0.001362065,0.02025832,0.0006725474,0.2545168],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05214906,"threshold_uncertainty_score":0.103691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4950845318091122,"score_gpt":0.6796453780827901,"score_spread":0.184560846273678,"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."}}