{"id":"W4406187159","doi":"10.1101/2025.01.06.25320076","title":"From Patient Voices to Policy: Data Analytics Reveals Patterns in Ontario’s Hospital Feedback","year":2025,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Patient Satisfaction in Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Schwartz/Reisman Emergency Medicine Institute; St. Michael's Hospital; Public Health Ontario; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Analytics; Data science; Business; Political science; Psychology; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.008054075,0.0002685799,0.0003151312,0.004465695,0.001274464,0.003453179,0.0007831876,0.0005564868,0.001344961],"category_scores_gemma":[0.07509184,0.0002248447,0.0003034544,0.008855559,0.001001186,0.001334024,0.001635365,0.0005085076,0.0002926895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0147108,"about_ca_system_score_gemma":0.0139016,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5378801,"about_ca_topic_score_gemma":0.6332424,"domain_scores_codex":[0.9912509,0.002686318,0.001142727,0.0009352509,0.003139902,0.0008449086],"domain_scores_gemma":[0.899645,0.05408368,0.01990437,0.003242261,0.02042387,0.002700885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002364859,0.00003319557,0.9000373,0.0005901167,0.0001205407,0.0003668175,0.02722915,0.0009091605,0.001406815,0.0009025049,0.01556583,0.05260192],"study_design_scores_gemma":[0.000012882,0.00004097218,0.9340996,0.0003041557,0.00003873487,0.00008400455,0.02528665,0.004978465,0.0007193947,0.0006560703,0.03371029,0.00006877095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9596996,0.001522984,0.002000804,0.01042141,0.00007388719,0.000154712,0.01801409,0.0002045346,0.00790796],"genre_scores_gemma":[0.9915489,0.0005148448,0.001611228,0.0004763439,0.0000427179,0.00008275918,0.004566057,0.0000347525,0.001122447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4621199,"threshold_uncertainty_score":0.9296828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1449162789123863,"score_gpt":0.438823461717007,"score_spread":0.2939071828046207,"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."}}