{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004479719,0.0001476721,0.0003158621,0.0006715011,0.0004511207,0.001207612,0.0003151357,0.000392189,0.005446012],"category_scores_gemma":[0.01573488,0.0001052543,0.0005250931,0.0007964093,0.0003521236,0.0006607475,0.000872449,0.0005033764,0.0003929287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007222397,"about_ca_system_score_gemma":0.0007152655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001150696,"about_ca_topic_score_gemma":0.001344246,"domain_scores_codex":[0.9950261,0.002864407,0.0005921142,0.0001574838,0.0009835137,0.0003763933],"domain_scores_gemma":[0.98499,0.006119698,0.005286134,0.0002188511,0.001932997,0.001452331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006570198,0.0006126171,0.934565,0.0003085775,0.0001084777,0.0004253506,0.009389419,0.0002573157,0.0008149301,0.0001350941,0.001501659,0.05122452],"study_design_scores_gemma":[0.0001034622,0.00462612,0.9382401,0.0002333831,0.0001600988,0.00268606,0.04367663,0.002297114,0.001254644,0.0001503484,0.006493462,0.0000785325],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977118,0.0001486638,0.0002223464,0.0003064677,0.000006888215,0.00003883272,0.0001177947,0.000009457298,0.001437653],"genre_scores_gemma":[0.9989597,0.0001221601,0.0003968256,0.0001267478,0.000008756308,0.00002901753,0.00009219307,0.000002430787,0.0002622737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005446012,"threshold_uncertainty_score":0.0236913,"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."}}