{"id":"W7165960487","doi":"10.2196/56497","title":"Feasibility and Preliminary Efficacy of a “Sit Less” Program Leveraging Fitbit Tracking and Tailored Text Messages in Cardiometabolic Disease: Findings from Two Parallel Randomized Controlled Trials in Coronary Artery Disease and Type 2 Diabetes (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Health Literacy and Information Accessibility","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Randomized controlled trial; Coronary artery disease; mHealth; Tracking (education); Coronary heart disease; Arterial disease; Disease","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":[0.007588879,0.001431599,0.002206733,0.0008190099,0.0009301007,0.001470992,0.001268559,0.002991078,0.01020588],"category_scores_gemma":[0.01385919,0.001078084,0.003539152,0.0008988818,0.001878088,0.003061175,0.001318913,0.003752514,0.001038729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009584785,"about_ca_system_score_gemma":0.002007703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003663277,"about_ca_topic_score_gemma":0.003522781,"domain_scores_codex":[0.9943656,0.003345277,0.0006178481,0.0007372712,0.0004849153,0.000449117],"domain_scores_gemma":[0.9927881,0.004216833,0.001234316,0.0004929869,0.0003619019,0.0009058289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.8823575,0.06636201,0.002674465,0.001590885,0.002074135,0.00002901902,0.0003258845,0.0003400256,0.002154686,0.0001242542,0.0005600627,0.04140697],"study_design_scores_gemma":[0.6170588,0.3626,0.0150067,0.0001717906,0.002882423,0.00001646234,0.0001583418,0.0004208859,0.0009443739,0.0001494095,0.0005453857,0.00004545203],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899748,0.0009902003,0.0008191597,0.0007422275,0.0004375778,0.004878892,0.0007236909,0.000085368,0.001348103],"genre_scores_gemma":[0.9816995,0.00116919,0.004659997,0.0009380344,0.0006295552,0.008449531,0.0007675153,0.00004166794,0.001645089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01020588,"threshold_uncertainty_score":0.04013431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08976426058383226,"score_gpt":0.4582747073698474,"score_spread":0.3685104467860151,"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."}}