{"id":"W4362471899","doi":"10.1002/vetr.2914","title":"VetCT extends reach to Canada","year":2023,"lang":"en","type":"article","venue":"Veterinary Record","topic":"Vector-Borne Animal Diseases","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Citation; Library science; Computer science; Information retrieval; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005838642,0.0005923296,0.0004796151,0.002479346,0.005436621,0.004182643,0.001207257,0.001586539,0.4329699],"category_scores_gemma":[0.002845933,0.0004010836,0.0005479465,0.001967494,0.001144443,0.0009453565,0.002763239,0.00162612,0.1466096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01303056,"about_ca_system_score_gemma":0.04949005,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9051053,"about_ca_topic_score_gemma":0.9618697,"domain_scores_codex":[0.999061,0.00003097562,0.00001993493,0.0001172911,0.0004257136,0.0003449764],"domain_scores_gemma":[0.9942163,0.0002309211,0.0001146575,0.0002908837,0.003766046,0.001381147],"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":[0.0001785981,0.00004739565,0.004591587,0.0002202521,0.00001437935,0.0003497879,0.0002725466,0.0001783019,0.001005936,0.00715201,0.8534564,0.1325328],"study_design_scores_gemma":[0.00001112996,0.00001029579,0.003672125,0.00007327219,0.000004338876,0.00007043179,0.0001689358,0.0001175268,0.0001420542,0.0003017664,0.995421,0.000007133255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004917701,0.001561801,0.001300463,0.00592594,0.002346522,0.0002218432,0.01860479,0.002324182,0.9627966],"genre_scores_gemma":[0.01221302,0.0004708317,0.0004021612,0.0008479984,0.00008754421,0.00003197731,0.003629207,0.0002495025,0.9820678],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4329699,"threshold_uncertainty_score":0.8087996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04818880681337068,"score_gpt":0.2496500894764111,"score_spread":0.2014612826630404,"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."}}