{"id":"W3166898193","doi":"10.22541/au.162260456.61922509/v1","title":"Feasibility of Implementing a Web-based Tool Built from Pharmacy Claims Data (e-MEDRESP) to Monitor Adherence to Respiratory Medications in Primary Care","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Pharmacy; Asthma; Cohort; Likert scale; Family medicine; Medical record; Medication adherence; Patient education; Physical therapy; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.01579054,0.0003630302,0.0004038277,0.0008774486,0.0004260839,0.001079144,0.0007416593,0.001026598,0.002042863],"category_scores_gemma":[0.03949179,0.0004616778,0.0007487087,0.0004723771,0.0003124031,0.00128118,0.001051284,0.0006786732,0.0004955291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005681466,"about_ca_system_score_gemma":0.001262797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002010624,"about_ca_topic_score_gemma":0.00300746,"domain_scores_codex":[0.9899235,0.006623935,0.000774429,0.0006861062,0.001447384,0.0005445383],"domain_scores_gemma":[0.9696617,0.01984324,0.004371015,0.001883015,0.00261657,0.001624502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002998611,0.009694648,0.8456597,0.0004163792,0.0002058404,0.0003200788,0.002090197,0.0004646402,0.00261991,0.00003286691,0.0007849318,0.1347122],"study_design_scores_gemma":[0.0006546025,0.0231752,0.9672366,0.0001930743,0.0001856084,0.0004129684,0.001240067,0.004000116,0.001464557,0.00002787522,0.001361882,0.00004742933],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976159,0.0001012762,0.0006848641,0.0002108459,0.00001816681,0.000590038,0.0002137286,0.00006233442,0.0005028332],"genre_scores_gemma":[0.9923259,0.0001118131,0.006342332,0.0001830045,0.00003725046,0.0004789146,0.0002726949,0.000006959277,0.0002410297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01579054,"threshold_uncertainty_score":0.08350933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2281421242587754,"score_gpt":0.4531590758283595,"score_spread":0.2250169515695841,"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."}}