{"id":"W1991892987","doi":"10.1136/bmj.c6198","title":"US lags behind most developed countries in use of electronic medical records but is set to change","year":2010,"lang":"en","type":"article","venue":"BMJ","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data science; Computer science; Set (abstract data type); Medical record; Information retrieval; Medicine","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":[0.007254053,0.0004228139,0.0007346145,0.002748848,0.00216672,0.006016736,0.0007996526,0.001759594,0.01015918],"category_scores_gemma":[0.01275258,0.0003000895,0.0007986531,0.007578091,0.001773552,0.004604748,0.00242311,0.002042734,0.002375453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004611218,"about_ca_system_score_gemma":0.01009405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.234517,"about_ca_topic_score_gemma":0.3245279,"domain_scores_codex":[0.9945932,0.001233269,0.0006394619,0.0004893754,0.001460822,0.001583918],"domain_scores_gemma":[0.9796098,0.004633171,0.003161025,0.001070415,0.007564468,0.003961028],"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":[0.0007112715,0.0002227422,0.3208852,0.001192739,0.0002688285,0.0008525329,0.003757162,0.0003462735,0.0009195961,0.01982961,0.3583742,0.2926398],"study_design_scores_gemma":[0.00008026874,0.0002620696,0.5123242,0.001825677,0.0001390067,0.0007608092,0.0135926,0.0001717674,0.0007330264,0.0036624,0.4663472,0.0001010774],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1630277,0.04635196,0.001138235,0.6520186,0.006824121,0.00004779067,0.008712807,0.0005607037,0.1213181],"genre_scores_gemma":[0.7444909,0.04283731,0.004216981,0.1749882,0.002175262,0.0000667163,0.006117234,0.0002525762,0.02485485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.234517,"threshold_uncertainty_score":0.4663039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1200294976134134,"score_gpt":0.4673355235458526,"score_spread":0.3473060259324391,"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."}}