{"id":"W2492687815","doi":"10.2196/humanfactors.5640","title":"An Evaluation of Understandability of Patient Journey Models in Mental Health","year":2016,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Usability; CLARITY; Process (computing); Computer science; Process management; Identification (biology); Health care; Information model; Knowledge management; Information system; Management science; Human–computer interaction; Engineering; Software engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004387593,0.0001414447,0.0004595259,0.0002378601,0.0002320807,0.000001742179,0.0001610686,0.0001574734,0.0004297074],"category_scores_gemma":[0.00008605525,0.00009610194,0.00005759648,0.0001807153,0.00007074908,0.0002581291,0.00003308542,0.0002753292,0.000004537975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003662911,"about_ca_system_score_gemma":0.002076973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002708362,"about_ca_topic_score_gemma":0.007757402,"domain_scores_codex":[0.9938645,0.002976932,0.001460925,0.0002753445,0.0008645494,0.0005577711],"domain_scores_gemma":[0.9978494,0.0002243086,0.0009304517,0.0004654985,0.0003197556,0.0002105554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001597985,0.001014683,0.8383081,0.00125807,0.00003239986,1.34436e-7,0.1338787,0.00009772196,0.005093489,0.007040282,0.001549687,0.01156692],"study_design_scores_gemma":[0.01263715,0.006778661,0.8427485,0.004808425,0.00002739416,8.443171e-7,0.07576066,0.00296044,0.002159879,0.05001611,0.001360672,0.0007413193],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954084,0.00009151839,0.0001087526,0.0004124774,0.0002667098,0.002915676,0.00007964412,0.0000260415,0.0006908455],"genre_scores_gemma":[0.9996877,0.00001657397,0.00001698301,0.00005276277,0.00003044157,0.000122093,0.00002162966,0.00002051579,0.00003131376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05811804,"threshold_uncertainty_score":0.9578386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2472153970781782,"score_gpt":0.5203756461321911,"score_spread":0.2731602490540129,"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."}}