{"id":"W2809924027","doi":"10.1093/jamia/ocy074","title":"A systematic assessment of the availability and clinical drug information coverage of machine-readable clinical drug data sources for building knowledge translation products","year":2018,"lang":"en","type":"review","venue":"Journal of the American Medical Informatics Association","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Memorial University of Newfoundland","funders":"Canadian Institutes of Health Research; Memorial University of Newfoundland; Diabetes Canada","keywords":"Computer science; Drug; Information retrieval; Data source; Information source (mathematics); Knowledge translation; Quality (philosophy); Medicine; Knowledge management; Pharmacology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.1660717,0.001029729,0.004729469,0.07635746,0.001412831,0.005845642,0.00332826,0.00235592,0.002198248],"category_scores_gemma":[0.5018284,0.00139805,0.004944848,0.04066631,0.002810975,0.008450396,0.006726968,0.001098159,0.0003881973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004413328,"about_ca_system_score_gemma":0.01544164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004554535,"about_ca_topic_score_gemma":0.01262774,"domain_scores_codex":[0.80588,0.06809703,0.08433777,0.007435703,0.03316158,0.001087926],"domain_scores_gemma":[0.2459453,0.5887712,0.09388058,0.0176138,0.05202384,0.001765276],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.001512317,0.000170814,0.07713027,0.574831,0.01349362,0.0007387049,0.007707648,0.0007044531,0.001812611,0.002079427,0.007478317,0.3123409],"study_design_scores_gemma":[0.000754633,0.0007626868,0.1179842,0.7574155,0.04461031,0.001790297,0.004779914,0.002132769,0.003888349,0.001762488,0.06386676,0.0002522285],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1699139,0.75733,0.01386856,0.006560697,0.0006351292,0.007763993,0.0352371,0.0003692137,0.00832139],"genre_scores_gemma":[0.6939887,0.1968417,0.0679181,0.002579804,0.0003290274,0.01288484,0.02470862,0.0002108862,0.0005384305],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8339283,"threshold_uncertainty_score":0.8782816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07106297838884242,"score_gpt":0.4324555816785575,"score_spread":0.3613926032897151,"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."}}