{"id":"W4402283081","doi":"10.2196/54509","title":"Reliability Issues of Mobile Nutrition Apps for Cardiovascular Disease Prevention: Comparative Study","year":2024,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Saturated fat; Reliability (semiconductor); Environmental health; Medicine; Consistency (knowledge bases); Tracking (education); Computer science; Psychology; Cholesterol; Internal medicine","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":[0.09550736,0.0005940645,0.0008938382,0.003496176,0.001068424,0.002877827,0.001813065,0.001047396,0.001962594],"category_scores_gemma":[0.3044068,0.0008246659,0.002188274,0.002830845,0.002240715,0.003351155,0.00295816,0.001184572,0.0005492187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001923424,"about_ca_system_score_gemma":0.002012328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00546245,"about_ca_topic_score_gemma":0.00513957,"domain_scores_codex":[0.9240178,0.04213385,0.00879319,0.004679026,0.01909035,0.001285731],"domain_scores_gemma":[0.5820164,0.2850517,0.03988525,0.02211243,0.06934679,0.001587527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002500482,0.0008651264,0.8977402,0.001426793,0.001482278,0.000173326,0.02588069,0.0003194087,0.0005656974,0.0008178866,0.001104686,0.06712338],"study_design_scores_gemma":[0.0002472238,0.005144726,0.9648962,0.001478655,0.001530027,0.0007666547,0.01577472,0.00306982,0.001358926,0.0005605292,0.005054797,0.0001178193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890785,0.002730147,0.003049714,0.0003449946,0.000118465,0.0005868095,0.0004764353,0.00003273032,0.0035823],"genre_scores_gemma":[0.9965034,0.0005182182,0.001854259,0.0001026344,0.00005964835,0.0004002521,0.0002643334,0.00002158706,0.0002758643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09550736,"threshold_uncertainty_score":0.5050973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1255641659011068,"score_gpt":0.5181070233485389,"score_spread":0.3925428574474321,"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."}}