{"id":"W2055625169","doi":"10.1097/ta.0b013e31811ea25d","title":"Evidence-Based Medical Information Technology: The Next Generation","year":2007,"lang":"en","type":"article","venue":"The Journal of Trauma: Injury, Infection, and Critical Care","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical information; Computer science; Data science; Information retrieval","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.01195921,0.0001431007,0.000231067,0.0002492613,0.001766705,0.00005638457,0.0002533291,0.0004339033,0.0002470194],"category_scores_gemma":[0.01504697,0.00007998879,0.0000742031,0.0004304814,0.0004793219,0.001432673,0.00005578376,0.002093102,0.00003609065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000238191,"about_ca_system_score_gemma":0.0009379051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000468467,"about_ca_topic_score_gemma":0.001180426,"domain_scores_codex":[0.9956108,0.001871742,0.001201139,0.00009375696,0.0008320328,0.0003904828],"domain_scores_gemma":[0.9923549,0.004545405,0.0004394767,0.0002655429,0.002139538,0.0002551026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001898518,0.0002966367,0.2322364,0.002766603,0.0001240608,0.00002523085,0.03312223,0.00002636157,0.0009026867,0.0683469,0.024722,0.6355323],"study_design_scores_gemma":[0.004756569,0.007907182,0.5114632,0.006129446,0.001383224,0.001065582,0.1948161,0.001660122,0.004314934,0.01788965,0.2473961,0.001217915],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8705773,0.002996908,0.0150072,0.108595,0.001879569,0.0004170035,0.000006207592,0.00005667852,0.0004641017],"genre_scores_gemma":[0.9867961,0.001132267,0.0001753978,0.0105095,0.001356374,0.00001060996,0.000002914222,0.00001031446,0.000006563385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6343144,"threshold_uncertainty_score":0.9995329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5433099192043132,"score_gpt":0.5464731683392542,"score_spread":0.003163249134941037,"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."}}