{"id":"W2887802844","doi":"10.1016/j.ijmedinf.2018.08.002","title":"Feasibility and usability of an ontology-based mobile intervention for patients with hypertension","year":2018,"lang":"en","type":"article","venue":"International Journal of Medical Informatics","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Dalhousie University","keywords":"Usability; Ontology; Computer science; Intervention (counseling); World Wide Web; Medicine; Human–computer interaction; Nursing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002408686,0.00008174219,0.000265512,0.0001223107,0.0001350578,0.00000546913,0.0003082247,0.0001776549,0.0001932208],"category_scores_gemma":[0.00117484,0.00005582654,0.00005505289,0.00006429361,0.0002549159,0.0002424003,0.00004837576,0.0003251736,0.000003509693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001353039,"about_ca_system_score_gemma":0.0006674257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000468033,"about_ca_topic_score_gemma":0.000137599,"domain_scores_codex":[0.9972247,0.0001365725,0.001549369,0.00007253607,0.0008343232,0.0001824675],"domain_scores_gemma":[0.994809,0.0006089705,0.001198394,0.0001568425,0.002868836,0.0003579867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005989879,0.003375914,0.5287412,0.002015768,0.000122335,0.000001855533,0.002929795,0.00002040747,0.00001041675,0.002868496,0.00332072,0.4506032],"study_design_scores_gemma":[0.06339396,0.01995524,0.6825886,0.004286228,0.0002080145,0.00007249982,0.007177184,0.08732817,0.0002035872,0.00655469,0.1277409,0.0004909586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721186,0.00002753468,0.02501545,0.0008387736,0.0006977296,0.001164228,0.0000528181,0.00000896489,0.00007585884],"genre_scores_gemma":[0.9843764,0.0000379054,0.01338399,0.001722552,0.0002563935,0.0001630929,0.00004913129,0.000006222715,0.000004270604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4501122,"threshold_uncertainty_score":0.227654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05629505162519807,"score_gpt":0.4548418663586711,"score_spread":0.3985468147334731,"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."}}