{"id":"W2087841488","doi":"10.1136/vr.163.15.461","title":"Goose parvovirus in Great Britain","year":2008,"lang":"en","type":"letter","venue":"Veterinary Record","topic":"Virus-based gene therapy research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Goose; Art; History; Geography; Art history; Biology; Ecology","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":[0.0007958854,0.0003379406,0.0005038197,0.0004073983,0.001235669,0.001123647,0.0006268238,0.01726848,0.004822188],"category_scores_gemma":[0.004121719,0.0002921977,0.0003488335,0.0004815327,0.001317718,0.0008389497,0.0007002572,0.009986606,0.001742101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003371248,"about_ca_system_score_gemma":0.001116832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01569128,"about_ca_topic_score_gemma":0.03699477,"domain_scores_codex":[0.999406,0.0001339908,0.00007723575,0.00008916952,0.0001613145,0.0001323875],"domain_scores_gemma":[0.9984416,0.0009162524,0.0001642178,0.0000578556,0.0002064325,0.0002136162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003698061,0.00004845783,0.002664482,0.0003429917,0.00003921949,0.02564878,0.0005071777,0.0001505522,0.001183577,0.003529608,0.934806,0.0307094],"study_design_scores_gemma":[0.0001567577,0.0001200511,0.007482431,0.000231274,0.00004274449,0.004793952,0.0003514146,0.0001703846,0.0003170093,0.001493695,0.9848139,0.00002643935],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01122045,0.02046956,0.0002849529,0.8828796,0.06163848,0.00003472745,0.0002172543,0.00006540773,0.0231896],"genre_scores_gemma":[0.08627947,0.02057193,0.000516426,0.6838334,0.08056827,0.00006955752,0.000280906,0.00007357165,0.1278063],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01726848,"threshold_uncertainty_score":0.03119987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04944188447513633,"score_gpt":0.308703439981757,"score_spread":0.2592615555066207,"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."}}