{"id":"W2168565439","doi":"","title":"Sentinel feedback: path to meaningful use of EMRs.","year":2012,"lang":"en","type":"article","venue":"PubMed","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"North York General Hospital","funders":"","keywords":"Computer science; Path (computing); Electronic medical record; Meaningful use; Electronic health record; Medical record; Quality (philosophy); Health records; Data science; Health care; Medicine; Internet privacy; Computer network; Surgery","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":[0.1088924,0.0009881073,0.0006196464,0.002446272,0.002675486,0.00767395,0.004344563,0.009293158,0.03960797],"category_scores_gemma":[0.2193571,0.0007040271,0.001313339,0.001492412,0.00335752,0.0142594,0.01082586,0.01221347,0.007891973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007646348,"about_ca_system_score_gemma":0.05186646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008159945,"about_ca_topic_score_gemma":0.01570173,"domain_scores_codex":[0.9243553,0.04822765,0.004001124,0.003063855,0.01643646,0.003915611],"domain_scores_gemma":[0.6769775,0.1564017,0.01685064,0.01306104,0.08499572,0.05171337],"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":[0.0003023515,0.0008198816,0.01428798,0.001552988,0.00007914512,0.0002084349,0.003181378,0.0003438595,0.001235346,0.03082675,0.5095084,0.4376535],"study_design_scores_gemma":[0.0005117241,0.001753559,0.03408417,0.008544887,0.0001372511,0.0008482211,0.01468541,0.003308672,0.00424323,0.09419987,0.8373944,0.000288612],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005027166,0.003707324,0.02018399,0.9519079,0.003795791,0.0002630797,0.0004279222,0.001055559,0.01363132],"genre_scores_gemma":[0.2560882,0.01195381,0.2334972,0.4679627,0.008333915,0.001333654,0.001928348,0.0006904563,0.01821162],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1088924,"threshold_uncertainty_score":0.5758848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1609600315138726,"score_gpt":0.3873988138108597,"score_spread":0.2264387822969871,"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."}}