{"id":"W2031858337","doi":"10.1097/01.prs.0000287532.22699.f4","title":"The Lagging U.S. Health Care Information Technology Infrastructure: Parallel Challenges for Plastic Surgery","year":2007,"lang":"en","type":"article","venue":"Plastic & Reconstructive Surgery","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Medicine; Commonwealth; Health care; Developing country; The Internet; Incentive; Lagging; Medicaid; Economic growth; Economics; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007619926,0.0005387248,0.0004193732,0.004771005,0.005993111,0.01065838,0.001459786,0.004436041,0.01797037],"category_scores_gemma":[0.01389662,0.0004606533,0.0009086225,0.006910023,0.00461094,0.01143498,0.006066526,0.007556179,0.001726756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01130827,"about_ca_system_score_gemma":0.02195989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05342112,"about_ca_topic_score_gemma":0.08780045,"domain_scores_codex":[0.9942965,0.001346084,0.0003792795,0.0004956319,0.001860446,0.001622066],"domain_scores_gemma":[0.9778191,0.008045835,0.002554236,0.0006468227,0.004642946,0.006290946],"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":[0.0001922178,0.0003613198,0.07279496,0.001555234,0.00009717656,0.001497213,0.006358509,0.001675596,0.0009835211,0.2190809,0.3679876,0.3274157],"study_design_scores_gemma":[0.00005863175,0.0003671971,0.1547046,0.004251794,0.0000983659,0.003233656,0.0455424,0.003640185,0.0009408963,0.09631493,0.6906329,0.0002143536],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.04691831,0.04584586,0.002230352,0.8652091,0.002309605,0.00006777328,0.001026073,0.0001555599,0.03623746],"genre_scores_gemma":[0.7398466,0.109759,0.0102289,0.1190912,0.007871601,0.0001635037,0.002022275,0.0002117486,0.01080493],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05342112,"threshold_uncertainty_score":0.1062204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01908526764610635,"score_gpt":0.2414291297611168,"score_spread":0.2223438621150105,"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."}}