{"id":"W2013637946","doi":"10.1001/archinternmed.2011.399","title":"Impact of Pharmacist Care in the Management of Cardiovascular Disease Risk Factors","year":2011,"lang":"en","type":"article","venue":"Archives of Internal Medicine","topic":"Pharmaceutical Practices and Patient Outcomes","field":"Medicine","cited_by":294,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Pharmacist; Psychological intervention; Relative risk; Randomized controlled trial; CINAHL; Clinical pharmacy; Blood pressure; Confidence interval; MEDLINE; Internal medicine; Emergency medicine; Family medicine; Pharmacy; Nursing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002090313,0.0001233083,0.0004145389,0.000138815,0.00001074805,6.381545e-7,0.0002304211,0.00001165712,0.0001444642],"category_scores_gemma":[0.0000977247,0.00006152665,0.0004235486,0.0001071681,0.0002829588,0.00004151785,0.00005825007,0.0001969384,9.285106e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001211668,"about_ca_system_score_gemma":0.00001779032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001903052,"about_ca_topic_score_gemma":0.000001729354,"domain_scores_codex":[0.9987878,0.0001339764,0.0004139461,0.0001335048,0.0003991672,0.0001316734],"domain_scores_gemma":[0.9990033,0.000275554,0.0002127596,0.000353083,0.00003298679,0.000122343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003556952,0.0003310334,0.9611506,0.000878417,0.002853422,0.0001158105,0.01370391,0.00003878233,0.0001714829,0.00007984566,0.00001584639,0.01710389],"study_design_scores_gemma":[0.003711052,0.001352806,0.986708,0.001019455,0.002062388,0.000006159938,0.002965116,0.0003454275,0.001149872,0.0001628637,0.0004566454,0.00006020855],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788873,0.003788163,0.000207455,0.00003308405,0.00009814563,0.0003593964,0.00003690192,0.000003776092,0.01658579],"genre_scores_gemma":[0.9977555,0.001967452,0.0001719023,0.00003403185,0.00003036545,0.00000446289,0.00000933617,0.000008065706,0.00001889575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02555739,"threshold_uncertainty_score":0.2876858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1114804394875978,"score_gpt":0.4004634697854917,"score_spread":0.2889830302978939,"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."}}