{"id":"W4224213500","doi":"10.2147/rmhp.s357561","title":"Selecting Performance Indicators and Targets in Health Care: An International Scoping Review and Standardized Process Framework","year":2022,"lang":"en","type":"article","venue":"Risk Management and Healthcare Policy","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Process (computing); Selection (genetic algorithm); Performance indicator; Grey literature; Set (abstract data type); Process management; Health care; Computer science; Quality (philosophy); Best practice; Systematic review; Management science; Risk analysis (engineering); MEDLINE; Medicine; Engineering; Business; Political science; Artificial intelligence","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":[0.002059943,0.0002143365,0.0005766316,0.000651816,0.002420333,0.000023425,0.0001895056,0.00008132307,0.00007840107],"category_scores_gemma":[0.0001096859,0.0002174299,0.00002245945,0.0006757863,0.00004617238,0.0002769085,0.000488669,0.001167122,0.000001425017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047345,"about_ca_system_score_gemma":0.001407129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003347777,"about_ca_topic_score_gemma":0.001220311,"domain_scores_codex":[0.9966545,0.0008579388,0.0008410604,0.0005266067,0.0003735768,0.0007463954],"domain_scores_gemma":[0.9986858,0.0001627676,0.0005220913,0.0002334482,0.0000676186,0.0003282717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000107527,0.00002800305,0.7275066,0.07011154,0.00003189653,0.000005025592,0.01782404,0.000003611284,2.50179e-8,0.006820242,0.000657069,0.1769044],"study_design_scores_gemma":[0.004684374,0.001279123,0.8203769,0.02652126,0.0001160487,0.00001843726,0.02776439,0.0001376373,7.699372e-7,0.004095333,0.1139696,0.001036086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.455453,0.3732409,0.0001520445,0.1515191,0.0009268129,0.01168115,0.0003396837,0.0003506745,0.006336599],"genre_scores_gemma":[0.5206072,0.4154231,0.001353682,0.06139304,0.0002414964,0.0007597954,0.00007342553,0.00003832107,0.0001100034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1758683,"threshold_uncertainty_score":0.9988784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0280470119660531,"score_gpt":0.4618080035532031,"score_spread":0.43376099158715,"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."}}