{"id":"W2193806596","doi":"10.1126/scitranslmed.aad4954","title":"Comment on “One health, one literature: Weaving together veterinary and medical research”","year":2015,"lang":"en","type":"letter","venue":"Science Translational Medicine","topic":"Zoonotic diseases and public health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Centre for Phenogenomics; University of Toronto","funders":"","keywords":"Weaving; Veterinary medicine; Animal health; Medicine; Medical education; Engineering; Mechanical engineering","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":[0.009083698,0.001185549,0.001908534,0.001150084,0.008287815,0.005357642,0.00452607,0.1111884,0.01024278],"category_scores_gemma":[0.05298052,0.001654246,0.002318669,0.00125835,0.006733987,0.008788666,0.003632485,0.08148856,0.01003692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006738897,"about_ca_system_score_gemma":0.01226309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02773502,"about_ca_topic_score_gemma":0.03837748,"domain_scores_codex":[0.991819,0.002012118,0.001141981,0.00139478,0.002380481,0.001251523],"domain_scores_gemma":[0.9796646,0.01105091,0.001559087,0.0005981282,0.003903622,0.003223695],"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":[0.00003609757,0.00001784924,0.000431495,0.00003280802,0.000009810487,0.0005648214,0.0001909567,0.00003305017,0.00009148972,0.001611424,0.9947915,0.002188671],"study_design_scores_gemma":[0.000153405,0.00009333606,0.002721932,0.0006027315,0.00005467049,0.001769135,0.001470839,0.000495315,0.0004454144,0.01130103,0.980714,0.0001781487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001714471,0.0003523693,0.00005047198,0.990814,0.007554868,0.00001009782,0.00006261082,0.00002618179,0.0009578743],"genre_scores_gemma":[0.0005579444,0.00010701,0.00005362886,0.9936691,0.004473255,0.00001513107,0.00001010376,0.000008047862,0.00110586],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1111884,"threshold_uncertainty_score":0.05514717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2011237569322222,"score_gpt":0.4501975274278154,"score_spread":0.2490737704955933,"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."}}