{"id":"W2112050231","doi":"10.1136/bmjqs-2012-001298","title":"Identifying optimal postmarket surveillance strategies for medical and surgical devices: implications for policy, practice and research","year":2013,"lang":"en","type":"article","venue":"BMJ Quality & Safety","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta; Université de Montréal; University Health Network","funders":"Canadian Institutes of Health Research; University Health Network","keywords":"Medicine; Medical device; Process management; Medical emergency; Business","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":[0.1112978,0.0006541468,0.0009606758,0.003515141,0.00545729,0.01459259,0.003920156,0.008817108,0.009806946],"category_scores_gemma":[0.2660024,0.0007042552,0.001153705,0.003810035,0.008575572,0.01700145,0.007968664,0.006011101,0.00132565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02143311,"about_ca_system_score_gemma":0.1125349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02060073,"about_ca_topic_score_gemma":0.02624859,"domain_scores_codex":[0.8863232,0.09182307,0.006385175,0.00228647,0.007367252,0.005814894],"domain_scores_gemma":[0.6807607,0.2407129,0.03052912,0.00533146,0.02611719,0.01654862],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009469959,0.002532055,0.08648384,0.04035148,0.0003174478,0.002045756,0.07413571,0.005171318,0.001353088,0.1157451,0.1134624,0.5574549],"study_design_scores_gemma":[0.0007038935,0.001707999,0.09476604,0.1509687,0.0004588871,0.001143043,0.3752287,0.00657216,0.002172756,0.1883738,0.1773587,0.0005453728],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0703745,0.05035874,0.01246947,0.8365404,0.001080741,0.002068177,0.0004020677,0.0001221476,0.02658382],"genre_scores_gemma":[0.8127189,0.06467869,0.07088356,0.04360744,0.0009489166,0.00442725,0.0003982633,0.00008644038,0.002250503],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8887022,"threshold_uncertainty_score":0.5886062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.292204635269725,"score_gpt":0.6196636236115458,"score_spread":0.3274589883418208,"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."}}