{"id":"W2560478393","doi":"10.1503/cmaj.160195","title":"Mobile applications for postoperative monitoring after discharge","year":2016,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital; University of Toronto","funders":"","keywords":"Telemedicine; Computer science; Focus (optics); Mobile technology; Health care; Multimedia; Mobile device; Medical emergency; Medicine; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000758614,0.0005759979,0.0003514175,0.0009062609,0.0003009424,0.0007763371,0.0005544884,0.000816989,0.03205987],"category_scores_gemma":[0.00517379,0.0001434635,0.0004458223,0.0006071358,0.0001106644,0.0008507704,0.0009687855,0.0006720226,0.01108759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000161346,"about_ca_system_score_gemma":0.0003367813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004236642,"about_ca_topic_score_gemma":0.001266454,"domain_scores_codex":[0.999588,0.0001259044,0.0000463234,0.00004019541,0.0001675048,0.00003202996],"domain_scores_gemma":[0.9981033,0.0009843947,0.0002119578,0.0001386574,0.0004025871,0.000159116],"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":[0.0005694614,0.0001563454,0.003579903,0.0009184556,0.0000434011,0.0004326848,0.000313369,0.0001444157,0.00513783,0.0007481119,0.1244548,0.8635013],"study_design_scores_gemma":[0.0005358214,0.001714862,0.07221276,0.004849504,0.0003618128,0.005709767,0.001019781,0.005270182,0.01091971,0.006914472,0.890245,0.000246271],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1702185,0.2140966,0.2078536,0.03592371,0.01027992,0.005284096,0.02759301,0.06182884,0.2669217],"genre_scores_gemma":[0.531414,0.08120547,0.2071669,0.01330893,0.006087083,0.003966594,0.01134271,0.002166822,0.1433415],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03205987,"threshold_uncertainty_score":0.107251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824688135683284,"score_gpt":0.3807452163891766,"score_spread":0.3624983350323438,"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."}}