{"id":"W2972985287","doi":"10.4212/cjhp.v72i4.2919","title":"Pharmacy Informatics: Where Medication Use and Technology Meet","year":2019,"lang":"en","type":"article","venue":"The Canadian Journal of Hospital Pharmacy","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Joseph's Health Centre","funders":"","keywords":"Pharmacy; Informatics; Medicine; Family medicine; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01856932,0.001162358,0.001364665,0.004936662,0.01010245,0.04478745,0.003262634,0.01099596,0.04718585],"category_scores_gemma":[0.02441758,0.00112652,0.001321027,0.006923596,0.01118611,0.05701056,0.01524388,0.01421042,0.0137742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01395389,"about_ca_system_score_gemma":0.05365342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06060944,"about_ca_topic_score_gemma":0.1414616,"domain_scores_codex":[0.9820896,0.006126267,0.001193328,0.001320648,0.00501608,0.004254076],"domain_scores_gemma":[0.9673787,0.007145577,0.00203736,0.001807502,0.009994527,0.0116364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009962808,0.0002865363,0.0162462,0.001001382,0.00009845489,0.0005756616,0.008253854,0.0003774669,0.0008171118,0.2108613,0.4095898,0.3517925],"study_design_scores_gemma":[0.00001717024,0.00006817032,0.01205683,0.002557398,0.00005375269,0.0006295088,0.02719675,0.0007219726,0.0005794135,0.1251955,0.8307949,0.000128635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.007686861,0.05799397,0.009280232,0.7726768,0.009255739,0.00007285019,0.000447513,0.001094484,0.1414915],"genre_scores_gemma":[0.4910395,0.09665335,0.03361383,0.2419647,0.01784514,0.0002573241,0.001377404,0.001205848,0.116043],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06060944,"threshold_uncertainty_score":0.1578524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03523374632010434,"score_gpt":0.3809749210566407,"score_spread":0.3457411747365364,"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."}}