{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","metaepi_broad","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01716744,0.0005982603,0.005640286,0.0004876333,0.00008257842,0.0002370219,0.0002141001,0.0007806863,0.0001533018],"category_scores_gemma":[0.004867684,0.000412478,0.02367047,0.0002874085,0.0001378887,0.00003853664,0.001161486,0.002982866,0.0008505844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004169866,"about_ca_system_score_gemma":0.001593705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002783616,"about_ca_topic_score_gemma":0.00005945678,"domain_scores_codex":[0.9918529,0.001908153,0.002792054,0.001520938,0.001261619,0.0006643059],"domain_scores_gemma":[0.995517,0.0005335664,0.0003646776,0.001983543,0.0002265019,0.001374742],"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":[0.5241289,0.000502645,0.0001017394,0.001703672,0.0128012,0.0001483767,0.0001571798,0.00006966045,1.36271e-8,0.00004487768,0.01005985,0.4502819],"study_design_scores_gemma":[0.8469207,0.00159641,0.0003369224,0.002118769,0.005205244,0.00007216384,0.00009607616,0.0003930343,0.000001233804,0.0007982569,0.1419412,0.0005200784],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6619522,0.1136498,0.08795127,0.007782062,0.05826538,0.04683566,0.0006624219,0.001807789,0.02109339],"genre_scores_gemma":[0.9644073,0.01298201,0.001882198,0.001441821,0.009256556,0.001305469,0.0007140375,0.0002509612,0.007759696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4497619,"threshold_uncertainty_score":0.9999273,"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."}}