{"id":"W4386954149","doi":"10.1016/j.jacadv.2023.100613","title":"Mobile Health Fitness Interventions","year":2023,"lang":"en","type":"article","venue":"JACC Advances","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Group for Research in Decision Analysis; McGill University Health Centre","funders":"Fonds de Recherche du Québec - Santé; McGill University; Alberta Innovates; Canadian Institutes of Health Research; McGill University Health Centre; Public Health Agency; Public Health Agency of Canada","keywords":"mHealth; Psychological intervention; Logistic regression; Personalization; Applied psychology; eHealth; Psychology; Promotion (chess); Affect (linguistics); Health promotion; Medicine; Gerontology; Health care; Computer science; Public health; Nursing; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001245276,0.0006217032,0.0005539213,0.001179831,0.001292351,0.001066078,0.001283625,0.0012948,0.08808349],"category_scores_gemma":[0.004840551,0.0001819569,0.0009558221,0.0007621653,0.0003017658,0.0006264625,0.002378029,0.00115694,0.0088028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001548726,"about_ca_system_score_gemma":0.004720889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01665371,"about_ca_topic_score_gemma":0.03132296,"domain_scores_codex":[0.9989653,0.0002792176,0.00005855427,0.0001311509,0.0002473682,0.0003184651],"domain_scores_gemma":[0.999038,0.0002387155,0.0000883946,0.00004376339,0.000193813,0.0003974847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001135336,0.005816576,0.01249314,0.005313048,0.0002655096,0.0002290647,0.0007825069,0.0003155905,0.0007589777,0.003759866,0.08011757,0.8890129],"study_design_scores_gemma":[0.004734509,0.006912098,0.1997487,0.0186629,0.001013658,0.0007645958,0.002577205,0.001265505,0.001024366,0.006098977,0.7570958,0.0001016654],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2649851,0.04904823,0.0123509,0.04182354,0.004787457,0.01609547,0.01403219,0.002297856,0.5945792],"genre_scores_gemma":[0.7272394,0.03809001,0.03346323,0.01947916,0.001837722,0.02144146,0.00998129,0.0001629511,0.1483047],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08808349,"threshold_uncertainty_score":0.2946686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.10049179764216,"score_gpt":0.5395914197925937,"score_spread":0.4390996221504337,"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."}}