{"id":"W4310050139","doi":"10.18553/jmcp.2022.28.12.1392","title":"A dynamic analysis of medication adherence","year":2022,"lang":"en","type":"article","venue":"Journal of Managed Care & Specialty Pharmacy","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Medication adherence; Medicine; Medical prescription; Observational study; Emergency medicine; Internal medicine; Pharmacology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002140926,0.000376068,0.0009184477,0.00137379,0.0005424201,0.001391726,0.0008390521,0.000982989,0.01142175],"category_scores_gemma":[0.009338065,0.0003861609,0.001369747,0.001433301,0.0004155633,0.001109572,0.001067963,0.001534133,0.0008853134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553601,"about_ca_system_score_gemma":0.001441105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03088429,"about_ca_topic_score_gemma":0.01382181,"domain_scores_codex":[0.9987552,0.0005571328,0.00004257629,0.000273959,0.0001357326,0.0002353951],"domain_scores_gemma":[0.9962112,0.002572796,0.0006090938,0.0002121081,0.0001767195,0.0002181755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001147476,0.000884047,0.2529063,0.000209694,0.001894002,0.0008212655,0.0008628293,0.4407246,0.002342157,0.1618823,0.01480511,0.1215202],"study_design_scores_gemma":[0.00009586581,0.0003759933,0.1112502,0.00005988257,0.0002656142,0.0002309133,0.0003406662,0.8402174,0.0002435839,0.03787953,0.008974825,0.00006564112],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.88423,0.001535893,0.07873367,0.009048078,0.0001676902,0.0001754891,0.007748581,0.0002513077,0.01810926],"genre_scores_gemma":[0.9782683,0.0004806492,0.005125028,0.0002041832,0.0001158074,0.0001110372,0.001924349,0.00002860514,0.01374203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03088429,"threshold_uncertainty_score":0.06140906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03377093411223851,"score_gpt":0.3632091920977731,"score_spread":0.3294382579855346,"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."}}