{"id":"W4245566613","doi":"10.1007/b138625","title":"Transforming Health Care Through Information","year":2005,"lang":"en","type":"book","venue":"Computers in health care","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Vanderbilt University","keywords":"Health care; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001092696,0.0007601822,0.0005226224,0.001543526,0.001080762,0.007366306,0.0007999765,0.001999424,0.02406165],"category_scores_gemma":[0.002843157,0.000399876,0.0005064312,0.002514735,0.004483587,0.009355585,0.002747989,0.003960261,0.008310365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002282087,"about_ca_system_score_gemma":0.003066781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004237279,"about_ca_topic_score_gemma":0.005087994,"domain_scores_codex":[0.9992705,0.0002669401,0.00002791524,0.00006602587,0.0003111206,0.00005757495],"domain_scores_gemma":[0.9988163,0.0007589123,0.00003811113,0.0001805279,0.0001236591,0.00008255969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001142549,0.00003590402,0.00009950111,0.0002364194,0.000009639624,0.00005699496,0.001029998,0.0004638505,0.0002167918,0.460227,0.2902351,0.2473773],"study_design_scores_gemma":[0.000005470668,0.00000822301,0.00009111731,0.0002725025,0.000006721123,0.00007957708,0.0002924613,0.000252757,0.0001775197,0.1143796,0.8844281,0.000005986573],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007083013,0.02634442,0.02390866,0.02249425,0.004103641,0.00006551549,0.0001555964,0.0005443931,0.9216753],"genre_scores_gemma":[0.04174009,0.06991246,0.03995322,0.02080354,0.004246417,0.000238511,0.000518496,0.0004842579,0.822103],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02406165,"threshold_uncertainty_score":0.08049423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03726671768317529,"score_gpt":0.4101858980624937,"score_spread":0.3729191803793184,"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."}}