{"id":"W2052968341","doi":"10.1186/1748-5908-4-13","title":"Learning from the U.S. Department of Veterans Affairs Quality Enhancement Research Initiative: QUERI Series","year":2009,"lang":"en","type":"article","venue":"Implementation Science","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institutes of Health Research","funders":"","keywords":"Medicine; Veterans Affairs; Health services research; Health administration; Health informatics; Public health; Quality management; Health policy; Medical emergency; Nursing; Operations management; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0409026,0.000675574,0.0006820523,0.001313624,0.005798473,0.01292861,0.002219899,0.006117607,0.01519675],"category_scores_gemma":[0.06059644,0.0004394701,0.0005492863,0.001754012,0.007285438,0.01187751,0.007243252,0.01631025,0.004166977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01257323,"about_ca_system_score_gemma":0.0253746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01871152,"about_ca_topic_score_gemma":0.04146745,"domain_scores_codex":[0.985979,0.005231039,0.0006572386,0.0009317112,0.005929884,0.001271007],"domain_scores_gemma":[0.9507885,0.02546064,0.001760043,0.003067621,0.01055998,0.008363332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000006820374,0.00001343845,0.00007819847,0.00006075838,0.000002713358,0.00001722116,0.000610036,0.00002019928,0.00004495287,0.02781035,0.9561099,0.01522548],"study_design_scores_gemma":[0.000008152577,0.00001747366,0.000328632,0.0002651013,0.000002608298,0.00002231503,0.000862617,0.00002800358,0.0001147744,0.00705861,0.9912787,0.00001296352],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0002776801,0.01152138,0.0005685299,0.9490929,0.02294364,0.00002348211,0.0001003672,0.0000453044,0.01542678],"genre_scores_gemma":[0.03698156,0.06698781,0.007490637,0.6152318,0.08104838,0.0004358502,0.0007771233,0.0005791206,0.1904677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0409026,"threshold_uncertainty_score":0.2163162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8333035424918325,"score_gpt":0.7671171138092077,"score_spread":0.06618642868262481,"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."}}