{"id":"W3216744825","doi":"10.2196/33963","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":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Peer review; Computer science; Psychology; Artificial intelligence; Machine learning; Political science","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":["metaresearch"],"category_scores_codex":[0.2131389,0.001489883,0.005766633,0.01559339,0.005562727,0.01338097,0.005458723,0.01393075,0.0339306],"category_scores_gemma":[0.6720908,0.001843719,0.005243284,0.01077062,0.007751127,0.01033938,0.008589979,0.007007679,0.01332732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006953525,"about_ca_system_score_gemma":0.05925097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005255762,"about_ca_topic_score_gemma":0.009972288,"domain_scores_codex":[0.7140998,0.1301702,0.07177356,0.009236625,0.06972276,0.00499694],"domain_scores_gemma":[0.2039355,0.1997414,0.0627705,0.03366144,0.4909065,0.0089847],"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":[0.0002891126,0.00005880805,0.0009954961,0.09382898,0.0009476704,0.0003554922,0.00243269,0.0001297408,0.0007345986,0.004407079,0.7759394,0.1198809],"study_design_scores_gemma":[0.0003017603,0.0001034044,0.00150675,0.1725571,0.0009646798,0.0003515153,0.001258506,0.0003556193,0.0008750375,0.006504705,0.8150797,0.0001411966],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002089078,0.08832545,0.01363576,0.4773332,0.374617,0.009270012,0.005852322,0.000977489,0.02789973],"genre_scores_gemma":[0.09706567,0.255592,0.07225469,0.2569806,0.1997727,0.03639471,0.01517727,0.003221298,0.063541],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7868611,"threshold_uncertainty_score":0.9703398,"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."}}