{"id":"W4317412469","doi":"10.2196/40865","title":"The Effects of Providing a Connected Scale in an App-Based Digital Health Program: Cross-sectional Examination","year":2023,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cross-sectional study; Scale (ratio); Digital health; mHealth; Computer science; Psychology; Medicine; Health care; Nursing; Geography; Psychological intervention; Cartography","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":[0.006482717,0.0005110728,0.000752289,0.0012493,0.002065529,0.002041795,0.001202177,0.00200838,0.004991758],"category_scores_gemma":[0.01642955,0.001379638,0.002207459,0.00109113,0.001501669,0.002780404,0.001971029,0.003724843,0.000973355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001387405,"about_ca_system_score_gemma":0.001783545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0128628,"about_ca_topic_score_gemma":0.01512454,"domain_scores_codex":[0.9940537,0.002238336,0.0007430508,0.001031227,0.001085926,0.0008478133],"domain_scores_gemma":[0.9830494,0.005774077,0.005682788,0.001202278,0.001729052,0.002562494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002977205,0.0135363,0.9743623,0.0001142777,0.0006928373,0.00006790717,0.002392434,0.00007742346,0.0005041309,0.00008781012,0.000222524,0.004964943],"study_design_scores_gemma":[0.0001065023,0.008668703,0.9863614,0.00003699828,0.0002642178,0.00005810829,0.003682248,0.0001614458,0.0001825193,0.00003932296,0.0004207457,0.00001783367],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989824,0.0000917566,0.0000662626,0.00005658095,0.0000118345,0.0001460423,0.0002241906,0.000004254358,0.0004167387],"genre_scores_gemma":[0.9975958,0.0001239272,0.0002577547,0.000125034,0.00001566166,0.000298524,0.0003395631,0.000005397741,0.001238264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0128628,"threshold_uncertainty_score":0.03428429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06558300079375094,"score_gpt":0.4798675647719793,"score_spread":0.4142845639782284,"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."}}