{"id":"W2809780894","doi":"10.1016/j.cjca.2018.06.016","title":"Validation of Mobile Health Interventions in Cardiovascular Prevention: The Unanswered Questions in Light of LIGHT","year":2018,"lang":"en","type":"letter","venue":"Canadian Journal of Cardiology","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"mHealth; Medicine; Psychological intervention; Randomized controlled trial; Intervention (counseling); eHealth; Mobile phone; Family medicine; Health care; Gerontology; Nursing; Internal medicine; Computer science","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":[0.1474179,0.000768129,0.003012027,0.001253859,0.004917804,0.007891909,0.005849173,0.0365977,0.005138002],"category_scores_gemma":[0.4870479,0.0008543452,0.001960963,0.001285948,0.01375687,0.01085847,0.00506412,0.03319941,0.003167242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007884625,"about_ca_system_score_gemma":0.02441669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02030828,"about_ca_topic_score_gemma":0.02655368,"domain_scores_codex":[0.845249,0.08455188,0.01924382,0.007928302,0.03926848,0.003758495],"domain_scores_gemma":[0.2494481,0.6481732,0.01209246,0.01293793,0.06674349,0.01060492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004782042,0.0003541942,0.02936245,0.001710235,0.0001784309,0.001295715,0.005061866,0.000421033,0.0005718319,0.02473662,0.694922,0.2409075],"study_design_scores_gemma":[0.0006241249,0.000949656,0.0158125,0.01422899,0.0003070848,0.002221802,0.009054839,0.003041624,0.00109395,0.07883845,0.8734832,0.0003438528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00104333,0.003882621,0.0005904544,0.9877504,0.004313894,0.00002951763,0.00007995682,0.00001643339,0.002293438],"genre_scores_gemma":[0.04367211,0.007440174,0.006350647,0.9059336,0.03403258,0.0003810948,0.000214964,0.00005338059,0.001921481],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1474179,"threshold_uncertainty_score":0.7796296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04800775540819585,"score_gpt":0.3857586205549784,"score_spread":0.3377508651467826,"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."}}