{"id":"W7115068870","doi":"10.2196/78648","title":"Machine Learning for the Analysis of Healthy Lifestyle Data: Scoping Review and Guidelines","year":2025,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data collection; Multidisciplinary approach; Representativeness heuristic; Checklist; Workflow; Random forest; Process (computing); Transparency (behavior)","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":[0.09240305,0.003196938,0.009595902,0.03634981,0.002382438,0.007753571,0.008151713,0.009701772,0.009944096],"category_scores_gemma":[0.2814185,0.002343731,0.01266011,0.02274977,0.003577609,0.009178391,0.006358917,0.006224757,0.003222582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008870333,"about_ca_system_score_gemma":0.05486104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0132114,"about_ca_topic_score_gemma":0.02060016,"domain_scores_codex":[0.9119968,0.02733704,0.04717468,0.002507606,0.01008135,0.0009025087],"domain_scores_gemma":[0.6839541,0.2388933,0.02988404,0.007023303,0.03829822,0.001947063],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001241323,0.0000439225,0.0004558917,0.8098287,0.001955494,0.0002019757,0.000688197,0.0004336732,0.0002217059,0.003352676,0.02744689,0.1552468],"study_design_scores_gemma":[0.0000514608,0.00002845149,0.0002674811,0.9432013,0.002529332,0.0001073284,0.0001540442,0.0001529539,0.0001004798,0.002276919,0.0510991,0.00003118687],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002213978,0.9754415,0.005295297,0.008347205,0.001695694,0.00521329,0.00155979,0.000137367,0.002088455],"genre_scores_gemma":[0.003202069,0.9513227,0.0251631,0.004220778,0.0008048835,0.01288426,0.001692721,0.0000695164,0.0006399324],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9075969,"threshold_uncertainty_score":0.4886799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4311568088126178,"score_gpt":0.6123100713303227,"score_spread":0.1811532625177049,"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."}}