{"id":"W2156927271","doi":"10.1186/1748-5908-6-94","title":"Improving hypertension management through pharmacist prescribing; the rural alberta clinical trial in optimizing hypertension (Rural RxACTION): trial design and methods","year":2011,"lang":"en","type":"article","venue":"Implementation Science","topic":"Blood Pressure and Hypertension Studies","field":"Medicine","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Pharmacists Association; University of Calgary; University of Alberta","funders":"Canadian Foundation for Pharmacy; Canadian Institutes of Health Research; Alberta Innovates; Alberta Heritage Foundation for Medical Research; Fondation pour la Recherche Médicale","keywords":"Medicine; Pharmacist; Randomized controlled trial; Family medicine; Blood pressure; Randomization; Remuneration; Health care; Health services research; Clinical pharmacy; Emergency medicine; Physical therapy; Nursing; Pharmacy; Public health; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.00667832,0.002660128,0.002124813,0.0006531622,0.0009798893,0.001301468,0.001873679,0.002225024,0.009291998],"category_scores_gemma":[0.004722819,0.0007492597,0.001829723,0.00108022,0.001758018,0.0007430678,0.0009648725,0.001586349,0.0007266125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003533331,"about_ca_system_score_gemma":0.01086145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03271985,"about_ca_topic_score_gemma":0.08852749,"domain_scores_codex":[0.9963517,0.002390454,0.0001222438,0.0003334498,0.0003026748,0.0004995188],"domain_scores_gemma":[0.9979932,0.0005335456,0.0005106066,0.0001832274,0.0002236999,0.0005557028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"not_applicable","study_design_scores_codex":[0.9527509,0.01133666,0.003586385,0.002370832,0.002306386,0.0000980343,0.0002026407,0.001172104,0.0008669324,0.001012439,0.00290899,0.0213877],"study_design_scores_gemma":[0.9329727,0.05215438,0.008298631,0.0001605413,0.001873046,0.00003195909,0.00006237869,0.001456547,0.0001719935,0.000563136,0.002225947,0.00002872003],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"protocol","genre_scores_codex":[0.6804928,0.006438549,0.003781853,0.00302836,0.00069343,0.2847662,0.00509701,0.0004771739,0.01522452],"genre_scores_gemma":[0.7421107,0.002490868,0.01446061,0.002271542,0.0006338326,0.2252799,0.001735071,0.00003049658,0.010987],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.9672801,"threshold_uncertainty_score":0.06505883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.407478223663184,"score_gpt":0.5046897552279256,"score_spread":0.09721153156474155,"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."}}