{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04985495,0.0007068171,0.0004871868,0.002504452,0.0009555161,0.003179317,0.001094887,0.001088523,0.00174113],"category_scores_gemma":[0.1631788,0.0004453978,0.001805952,0.001528084,0.001318701,0.003513739,0.003097773,0.001221445,0.0001941554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00369372,"about_ca_system_score_gemma":0.001929791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002887022,"about_ca_topic_score_gemma":0.002590352,"domain_scores_codex":[0.9713331,0.02027317,0.002864723,0.001171575,0.003737954,0.0006194477],"domain_scores_gemma":[0.7879814,0.1739762,0.01332642,0.008326282,0.01486603,0.001523679],"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":[0.004887734,0.004522991,0.3044616,0.003466198,0.0006238648,0.0007260912,0.2951061,0.02537528,0.01065682,0.004125912,0.002405315,0.3436421],"study_design_scores_gemma":[0.0008415244,0.02359041,0.4779083,0.002900338,0.001245653,0.00163376,0.2338989,0.1994097,0.02044593,0.0074634,0.02994908,0.0007130294],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985191,0.00007011593,0.01160419,0.0001883562,0.00001672694,0.0009692622,0.000185711,0.0001498431,0.001624881],"genre_scores_gemma":[0.9686167,0.0001199048,0.02934633,0.0000425059,0.000006389754,0.001003774,0.0004062739,0.00004205743,0.0004161137],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04985495,"threshold_uncertainty_score":0.2636613,"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."}}