{"id":"W4283791080","doi":"10.2196/39618","title":"Digital Phenotyping in Health Using Machine Learning Approaches: Scoping Review","year":2022,"lang":"en","type":"article","venue":"JMIR Bioinformatics and Biotechnology","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Data collection; Data extraction; Novelty; Data science; Wearable computer; Systematic review; Process (computing); Information retrieval; MEDLINE; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.04102095,0.002584834,0.007481211,0.03914545,0.002109381,0.007478464,0.003858234,0.004949383,0.00795102],"category_scores_gemma":[0.1847743,0.001759399,0.007581678,0.031244,0.002454497,0.007234205,0.005171596,0.002748473,0.001388898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007284594,"about_ca_system_score_gemma":0.03346104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007253865,"about_ca_topic_score_gemma":0.01355197,"domain_scores_codex":[0.9666247,0.01310214,0.01324102,0.001522388,0.004882119,0.000627685],"domain_scores_gemma":[0.7964656,0.1682294,0.01667843,0.003440868,0.01446106,0.0007247165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00009878152,0.000036212,0.000609049,0.8367992,0.002630556,0.000163831,0.0007545444,0.0004377021,0.0001443365,0.002187744,0.005022638,0.1511154],"study_design_scores_gemma":[0.00002298255,0.00003911779,0.0004615703,0.9702674,0.004596135,0.0001103674,0.0003162164,0.0001406282,0.00009501875,0.001082689,0.02284715,0.00002075609],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004436311,0.9930879,0.00184335,0.001124771,0.0004093742,0.001359794,0.000489167,0.00002895454,0.001213024],"genre_scores_gemma":[0.00518969,0.986771,0.003883217,0.0007076545,0.0002529125,0.002636,0.0003759009,0.00001412642,0.000169404],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04102095,"threshold_uncertainty_score":0.2169421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0768237313905145,"score_gpt":0.372408938390437,"score_spread":0.2955852069999225,"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."}}