{"id":"W4404100402","doi":"10.32920/27625344","title":"A Digital Health Intervention to Lower Cardiovascular Risk: A Randomized Clinical Trial","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Randomized controlled trial; Intervention (counseling); Medicine; Digital health; Internal medicine; Political science; Health care; Nursing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002364755,0.001507614,0.002682341,0.0008121724,0.0007336396,0.001396119,0.000988748,0.002879861,0.01812586],"category_scores_gemma":[0.003641235,0.0006542696,0.002155037,0.0007748352,0.001430875,0.001565204,0.0007872705,0.002202263,0.001469813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009148686,"about_ca_system_score_gemma":0.001726162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001224637,"about_ca_topic_score_gemma":0.002092702,"domain_scores_codex":[0.9986448,0.0006911576,0.0001522227,0.0002351404,0.0001138051,0.0001628844],"domain_scores_gemma":[0.9984623,0.0005152668,0.0003356934,0.000132251,0.0001245043,0.0004300465],"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":[0.9610703,0.01441827,0.0003803826,0.002492856,0.001304538,0.00004352185,0.00004789943,0.0001489661,0.0005848128,0.0002624611,0.001110895,0.01813501],"study_design_scores_gemma":[0.9855922,0.01296395,0.000423025,0.00008322757,0.0003058696,0.000007525572,0.00001223329,0.0001106285,0.00004794275,0.0001164793,0.0003316487,0.000005308406],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8916022,0.01899628,0.002715905,0.004594731,0.004859654,0.06212993,0.0034864,0.0003985733,0.01121635],"genre_scores_gemma":[0.889971,0.009710449,0.007242254,0.005529349,0.002513658,0.07582759,0.001821841,0.00003468392,0.007349034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01812586,"threshold_uncertainty_score":0.06063706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03995639747100079,"score_gpt":0.3896896541802818,"score_spread":0.349733256709281,"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."}}