{"id":"W3011428332","doi":"10.1177/1715163520902494","title":"Monitoring and managing medication adherence in community pharmacies in Quebec, Canada","year":2020,"lang":"en","type":"article","venue":"Canadian Pharmacists Journal / Revue des Pharmaciens du Canada","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean; The Quebec Population Health Research Network; Université de Montréal; Université Laval; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Hospitalier Universitaire de Sherbrooke","funders":"Université de Montréal","keywords":"Medical prescription; Medicine; Pharmacy; Psychological intervention; Family medicine; Intervention (counseling); Community pharmacy; Medication adherence; Medical emergency; Nursing; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001114213,0.0002674515,0.000231085,0.0005758887,0.00357177,0.001212446,0.0010356,0.0005364558,0.003594993],"category_scores_gemma":[0.002843325,0.000216216,0.0002442409,0.001418845,0.0005591817,0.0005036081,0.0007389826,0.0006899451,0.0002335359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03697176,"about_ca_system_score_gemma":0.07602017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9920115,"about_ca_topic_score_gemma":0.9960803,"domain_scores_codex":[0.9987088,0.0002142727,0.00006680573,0.0001272593,0.0004734594,0.0004093959],"domain_scores_gemma":[0.9952864,0.0004080101,0.0006514085,0.00004928293,0.001766433,0.001838517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003211062,0.0006662413,0.8162543,0.0009506776,0.0001252418,0.0009730626,0.004149125,0.0007992409,0.001579906,0.0005082485,0.02263386,0.151039],"study_design_scores_gemma":[0.00005808993,0.0001835099,0.984287,0.0003414688,0.00003336619,0.000219147,0.0034167,0.000958494,0.0001834397,0.00005977932,0.01023028,0.00002861249],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538438,0.009461068,0.0008133731,0.01093026,0.00008631142,0.0006503392,0.002504338,0.0001084896,0.021602],"genre_scores_gemma":[0.9906,0.002800531,0.001376827,0.001461365,0.00002366595,0.0000838526,0.0004685132,0.000008238745,0.003177031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03697176,"threshold_uncertainty_score":0.2682501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0768124593468411,"score_gpt":0.3085586552077727,"score_spread":0.2317461958609316,"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."}}