{"id":"W2149820723","doi":"10.2196/mhealth.2737","title":"Mobile Apps in Cardiology: Review","year":2013,"lang":"en","type":"review","venue":"JMIR mhealth and uhealth","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":140,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministerio de Economía y Competitividad","keywords":"mHealth; Android (operating system); App store; Medicine; World Wide Web; Scopus; Mobile device; Mobile apps; Medical emergency; Heart disease; Computer science; Internet privacy; MEDLINE; Internal medicine; Psychological intervention","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.004261369,0.001120323,0.006864485,0.0007907291,0.001309915,0.00001372972,0.0006723768,0.001882073,0.0005538337],"category_scores_gemma":[0.0002411326,0.0009053349,0.0003980265,0.001521905,0.0002008005,0.0001532061,0.0003197303,0.005310931,0.00298963],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321195,"about_ca_system_score_gemma":0.009618309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007292611,"about_ca_topic_score_gemma":0.0001772204,"domain_scores_codex":[0.9852331,0.003950511,0.005310269,0.001729094,0.0004513257,0.003325742],"domain_scores_gemma":[0.9913742,0.001533314,0.00249254,0.001682589,0.0002309335,0.002686435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005296412,0.00003878022,0.00008732813,0.3833389,0.000009252473,0.000004287728,0.00007142005,3.323919e-8,2.022022e-9,0.0007451896,0.06827538,0.5474241],"study_design_scores_gemma":[0.0006083036,0.0002019442,0.0001367417,0.08653602,0.0003434239,0.0000436401,0.0001145713,0.000002735785,7.522358e-10,0.000159492,0.9113576,0.0004954789],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001032473,0.9462841,0.00001528623,0.0008008814,0.0009438316,0.0442347,0.000264263,0.0002640772,0.007182596],"genre_scores_gemma":[0.000004066856,0.8017469,0.0002529253,0.008409674,0.001059071,0.1862159,0.0006545124,0.000164692,0.001492277],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8430822,"threshold_uncertainty_score":0.9999902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.180367775599113,"score_gpt":0.5439029180713109,"score_spread":0.3635351424721979,"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."}}