{"id":"W2995125292","doi":"10.1097/qmh.0000000000000235","title":"Assessing Patient Satisfaction and Experience With an Electronic Referral Process","year":2019,"lang":"en","type":"article","venue":"Quality Management in Health Care","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University Medical Centre","funders":"","keywords":"Referral; Patient satisfaction; Family medicine; Medicine; Likert scale; Patient experience; Odds; Logistic regression; Health care; Nursing; Psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005677105,0.0001719346,0.0002795415,0.0002807158,0.0001689179,0.0001923766,0.00009715796,0.00007633448,0.00002683722],"category_scores_gemma":[0.00001137934,0.0001546838,0.0000152331,0.0004465398,0.0000303281,0.001434926,0.00007669928,0.0002236354,0.00001602604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002790626,"about_ca_system_score_gemma":0.00005950714,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01568476,"about_ca_topic_score_gemma":0.008779109,"domain_scores_codex":[0.9980269,0.00007157346,0.0005163588,0.0005165153,0.0003164483,0.0005522015],"domain_scores_gemma":[0.9991882,0.00001334801,0.0003296291,0.0003463724,0.00009682703,0.00002556688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008369634,0.00005149607,0.5432047,0.008032086,0.00001258513,0.000008621909,0.002847126,0.00005335232,0.000003136132,0.08720812,0.0000164336,0.3584786],"study_design_scores_gemma":[0.001078014,0.0003158057,0.8282002,0.0004875988,0.000007360427,0.000004077051,0.1456495,0.0005455381,0.000003159035,0.001612798,0.02163845,0.0004575515],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939217,0.0002477208,0.00005252272,0.001223708,0.000169173,0.001225595,7.762285e-7,0.0001675305,0.002991268],"genre_scores_gemma":[0.9977218,0.00002622349,0.0001222512,0.001867543,0.0000651471,0.0001392459,0.00002072895,0.00002156041,0.00001549296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3580211,"threshold_uncertainty_score":0.9908699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03926395709413632,"score_gpt":0.3729820757998178,"score_spread":0.3337181187056815,"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."}}