{"id":"W2123226570","doi":"10.12927/hcpap..16863","title":"Patient Safety: Is the Evidence Strong Enough That Information Technology Can Help?","year":2004,"lang":"en","type":"letter","venue":"A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy","topic":"Healthcare Policy and Management","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Health care; Equity (law); Public health; Population health; Public policy; Health equity; Library science; Health policy; Public relations; Political science; Sociology; Medicine; Nursing; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.03114756,0.000751175,0.002202711,0.001848694,0.005951365,0.009675812,0.004423447,0.05652908,0.0107866],"category_scores_gemma":[0.2122671,0.0009088836,0.002007205,0.00309447,0.01062434,0.01067789,0.002375226,0.05500053,0.005515184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01781089,"about_ca_system_score_gemma":0.02915178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07161481,"about_ca_topic_score_gemma":0.1083343,"domain_scores_codex":[0.9751359,0.01035851,0.003072459,0.002513557,0.007312824,0.001606641],"domain_scores_gemma":[0.7782465,0.1776506,0.006622295,0.002968292,0.02368112,0.01083123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005083952,0.00001621478,0.0006097846,0.0001911557,0.00002764189,0.0003028986,0.0002578807,0.00005273151,0.00005713878,0.005541441,0.9818267,0.01106568],"study_design_scores_gemma":[0.0002596971,0.00009686797,0.003132603,0.002853997,0.0001418128,0.0009216557,0.002117445,0.0006741177,0.0002740587,0.04131958,0.9480433,0.0001647956],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00006273556,0.0007381968,0.00002517031,0.9966947,0.001883511,0.000002253709,0.0000197194,0.000003402723,0.0005703162],"genre_scores_gemma":[0.001977373,0.001270389,0.0001819671,0.9861963,0.009062653,0.00001163244,0.00001614249,0.00001105055,0.001272454],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07161481,"threshold_uncertainty_score":0.1647261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08407962173721178,"score_gpt":0.2842626649754875,"score_spread":0.2001830432382757,"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."}}