{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001457324,0.0001948851,0.0004429906,0.00002340593,0.0001574251,0.000009305983,0.0004558644,0.00009269425,0.001996964],"category_scores_gemma":[0.001041163,0.00008122105,0.0001167238,0.0001731853,0.0001702658,0.00008468611,0.0002643261,0.00008906303,0.00002719766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001959352,"about_ca_system_score_gemma":0.000003905182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000968702,"about_ca_topic_score_gemma":0.00005689094,"domain_scores_codex":[0.9981139,0.0004565181,0.0003742321,0.0004240703,0.0002520269,0.0003792422],"domain_scores_gemma":[0.998489,0.001013282,0.000151938,0.00009451246,0.00004979156,0.0002014547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003754397,0.0008921458,0.3811603,0.000614805,0.0004186022,0.0002882751,0.0003669247,0.000002438227,0.1028455,0.004717852,0.1558504,0.3490884],"study_design_scores_gemma":[0.0007344834,0.007776322,0.8948645,0.0001764281,0.00002635527,0.00007296703,0.0001646563,0.001853889,0.000005702948,0.0008313631,0.09327846,0.0002148564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897325,0.000269546,0.0005999446,0.007002442,0.0004015647,0.0003315814,0.00002199236,0.00008647845,0.001553967],"genre_scores_gemma":[0.9974957,0.00008398799,0.0002120253,0.0008131652,0.0006670462,0.00007010798,0.00018998,0.000002497502,0.0004655342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5137042,"threshold_uncertainty_score":0.9989154,"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."}}