{"id":"W4416791038","doi":"10.2196/69126","title":"Mobile Exergames to Reduce Sedentary Time in Patients With Heart Failure: What Do Health Care Professionals Expect?","year":2025,"lang":"en","type":"article","venue":"JMIR Serious Games","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Vetenskapsrådet; Forskningsrådet i Sydöstra Sverige","keywords":"Personalization; Health care; Health professionals; Physical activity; eHealth; Sedentary lifestyle; Telehealth; Mobile device","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":[0.002417057,0.0003113977,0.0008479636,0.0002701696,0.0005349722,0.000972694,0.0004641086,0.002109071,0.00462605],"category_scores_gemma":[0.01336127,0.0001698909,0.0006515482,0.0002956957,0.0004262601,0.000916746,0.0005566733,0.001612313,0.000766532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004655079,"about_ca_system_score_gemma":0.001775189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003169837,"about_ca_topic_score_gemma":0.009710911,"domain_scores_codex":[0.9994917,0.0001766675,0.00006933933,0.00003744631,0.0001348114,0.00009003864],"domain_scores_gemma":[0.9955467,0.002698043,0.0006839085,0.00004236519,0.0005278189,0.0005011227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.003802151,0.005242504,0.09593426,0.01513161,0.0006504174,0.0004302244,0.001996487,0.0004622046,0.0009440207,0.0009863933,0.04066826,0.8337516],"study_design_scores_gemma":[0.006471161,0.02327411,0.7643092,0.08448093,0.004265491,0.001308781,0.02049657,0.002679406,0.001486034,0.005587087,0.08538349,0.0002577495],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4093748,0.259031,0.001132399,0.3030882,0.00523181,0.0009062376,0.0009460222,0.0002288015,0.02006065],"genre_scores_gemma":[0.7736272,0.1478889,0.003975537,0.06512442,0.003394221,0.0008435692,0.0005533703,0.00003147161,0.004561349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00462605,"threshold_uncertainty_score":0.01547563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007679263288364985,"score_gpt":0.3820739148049092,"score_spread":0.3743946515165442,"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."}}