{"id":"W3214992483","doi":"10.2196/33965","title":"Peer Review of “Machine Learning and Medication Adherence: Scoping Review”","year":2021,"lang":"en","type":"article","venue":"JMIRx Med","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peer review; Computer science; Medication adherence; Medicine; Psychology; Chemistry; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1157968,0.001892697,0.006489391,0.02240505,0.003939823,0.009525522,0.004231563,0.00970799,0.04130949],"category_scores_gemma":[0.4539891,0.001374366,0.005187481,0.0140761,0.004671743,0.009053989,0.007428021,0.004609017,0.01671934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006674243,"about_ca_system_score_gemma":0.05112908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003074239,"about_ca_topic_score_gemma":0.005261806,"domain_scores_codex":[0.8090785,0.0825122,0.04975087,0.006069729,0.04950665,0.003082044],"domain_scores_gemma":[0.4292857,0.144243,0.04943593,0.02198611,0.3468967,0.00815256],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002604799,0.00005403922,0.0005845026,0.1523661,0.0009040586,0.0002690837,0.0008913918,0.00009733242,0.0007900887,0.003057095,0.6674324,0.1732936],"study_design_scores_gemma":[0.0001956979,0.0001255263,0.001067278,0.2304337,0.001018712,0.0003605053,0.0004701396,0.0002125645,0.0007085166,0.003752434,0.761558,0.00009688057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.001759843,0.2683993,0.01783003,0.3046238,0.3565427,0.01232092,0.008251779,0.0009470873,0.02932444],"genre_scores_gemma":[0.04098544,0.5415452,0.04694633,0.1128095,0.1662625,0.0240266,0.01847268,0.002059763,0.04689204],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8842032,"threshold_uncertainty_score":0.6123993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07423748136179001,"score_gpt":0.4171498960077138,"score_spread":0.3429124146459238,"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."}}