{"id":"W1983556205","doi":"10.1016/j.prevetmed.2014.01.017","title":"Mining free-text medical records for companion animal enteric syndrome surveillance","year":2014,"lang":"en","type":"article","venue":"Preventive Veterinary Medicine","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vancouver Coastal Health; University of Calgary","funders":"","keywords":"Medical record; Medicine; Vocabulary; Veterinary medicine; Computer science; Internal medicine","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":[0.002069127,0.0006550383,0.001082356,0.01028263,0.000468636,0.001430852,0.00106588,0.00158518,0.002433178],"category_scores_gemma":[0.01308232,0.000234759,0.001290412,0.00584281,0.0003000045,0.001493641,0.0009556263,0.0007123808,0.001172878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004288267,"about_ca_system_score_gemma":0.001692031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003800773,"about_ca_topic_score_gemma":0.006693323,"domain_scores_codex":[0.9972973,0.0005037313,0.0008032518,0.0006900908,0.00050721,0.0001984537],"domain_scores_gemma":[0.9852164,0.009542362,0.002816013,0.0008318539,0.00106996,0.0005234996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002466047,0.001136261,0.59286,0.008909406,0.001595948,0.004532073,0.0006811874,0.00542274,0.02433329,0.001644928,0.03461356,0.3218046],"study_design_scores_gemma":[0.0003977007,0.001196147,0.8173784,0.001852621,0.003004487,0.00841639,0.002217382,0.06748319,0.01714128,0.005654726,0.07509014,0.0001675211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6421638,0.0166769,0.02356359,0.002452956,0.000474511,0.0008289572,0.3088288,0.001442921,0.003567436],"genre_scores_gemma":[0.6171201,0.003601634,0.04265101,0.0005759033,0.000474682,0.0004453505,0.3337727,0.00006677572,0.001291899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01028263,"threshold_uncertainty_score":0.01094276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0533456508314545,"score_gpt":0.2981508658790599,"score_spread":0.2448052150476054,"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."}}