{"id":"W3165310856","doi":"10.1177/14604582211015704","title":"Establishing a global quality of care benchmark report","year":2021,"lang":"en","type":"article","venue":"Health Informatics Journal","topic":"Patient Satisfaction in Healthcare","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre","funders":"National Cancer Institute; Movember Foundation","keywords":"Funnel plot; Computer science; Quality management; Best practice; Quality (philosophy); Data quality; Dashboard; Medicine; Benchmark (surveying); Data science; Operations management; Publication bias; Meta-analysis; Engineering","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.004371691,0.0001823772,0.0006815509,0.0001237723,0.001675398,0.00003344086,0.0002100129,0.0002456217,0.0005572798],"category_scores_gemma":[0.004058448,0.0001735007,0.0001506236,0.0006013133,0.00004915065,0.0007522476,0.0001635556,0.001624165,0.00004817169],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001926834,"about_ca_system_score_gemma":0.009818729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007509533,"about_ca_topic_score_gemma":0.0008363953,"domain_scores_codex":[0.9908739,0.001342456,0.005728873,0.000130211,0.001088226,0.0008363208],"domain_scores_gemma":[0.9902944,0.0006335666,0.005244285,0.0005630699,0.002571746,0.0006929397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004401493,0.00001674105,0.9396133,0.006342561,0.00002585587,0.0000342242,0.02876504,0.00008254941,0.000001248895,0.002387093,0.01192933,0.01075798],"study_design_scores_gemma":[0.001735329,0.0002183804,0.7807198,0.002398102,0.00001558516,0.001142139,0.1500016,0.0001551417,0.00001160899,0.001726843,0.06158199,0.0002935032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128481,0.003063082,0.01299163,0.005778599,0.0103558,0.001153138,0.0005081269,0.0001335453,0.05316802],"genre_scores_gemma":[0.9290012,0.001195365,0.05890537,0.009326044,0.0008711808,0.00004843517,0.0003504689,0.00003323966,0.000268652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1588936,"threshold_uncertainty_score":0.9996243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.140536911985863,"score_gpt":0.5216068719478759,"score_spread":0.3810699599620129,"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."}}