{"id":"W2309007934","doi":"10.1016/j.cjca.2016.02.026","title":"Impact of Digital Health Methods for Weight Management on Atherosclerotic Cardiovascular Disease Risk in “at-risk” Women","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Atherosclerotic cardiovascular disease; Cardiovascular health; Weight loss; Internal medicine; Randomized controlled trial; Physical therapy; Prospective cohort study; Disease; Obesity","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":[0.001036489,0.0003308743,0.0003670711,0.000706206,0.0004760221,0.001219771,0.0003703524,0.0006544723,0.008866611],"category_scores_gemma":[0.01013841,0.0001769208,0.001137966,0.0005865154,0.000312957,0.0008371394,0.000838346,0.0007948432,0.0004549775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000516575,"about_ca_system_score_gemma":0.0009016627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005652094,"about_ca_topic_score_gemma":0.007012669,"domain_scores_codex":[0.9992155,0.0003756935,0.00007036998,0.00008812948,0.0001550169,0.00009535979],"domain_scores_gemma":[0.9960478,0.002577163,0.0005925685,0.000149666,0.000195215,0.0004375118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02539213,0.01833058,0.263649,0.002230779,0.001995989,0.000339244,0.001839734,0.0004370618,0.0009943009,0.001594105,0.004735946,0.678461],"study_design_scores_gemma":[0.004212978,0.02469068,0.9370474,0.002420705,0.004835343,0.0005580345,0.003971194,0.002204126,0.00121421,0.00211451,0.01662461,0.000106332],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736236,0.00799387,0.0002228493,0.003887809,0.0003020136,0.0001320806,0.0005628329,0.00002668504,0.01324826],"genre_scores_gemma":[0.9889805,0.005945066,0.0009697662,0.0008494456,0.0003601344,0.00007452688,0.0002345402,0.000009099846,0.002576842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008866611,"threshold_uncertainty_score":0.02966177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03853776494493005,"score_gpt":0.4060143969486855,"score_spread":0.3674766320037555,"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."}}