{"id":"W2040597408","doi":"10.1046/j.1365-3164.2000.00166.x","title":"MANUAL OF SMALL ANIMAL CLINICAL PATHOLOGY","year":2000,"lang":"en","type":"article","venue":"Veterinary Dermatology","topic":"Vector-Borne Animal Diseases","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Library science; Computer science; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009296865,0.0001403099,0.0003565182,0.00001262474,0.00006409343,0.00000779056,0.0002968885,0.0001856597,0.003425359],"category_scores_gemma":[0.00003364403,0.00006243183,0.0001662263,0.000134851,0.0002449373,0.0000605979,0.00009069677,0.0001171357,0.0003262993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004888101,"about_ca_system_score_gemma":0.000009631868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004023841,"about_ca_topic_score_gemma":0.00003793302,"domain_scores_codex":[0.9985021,0.0003430604,0.000445172,0.0003234227,0.00007363356,0.000312624],"domain_scores_gemma":[0.9994501,0.0002339336,0.00008704728,0.00008319622,0.00003362271,0.0001120371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002251666,0.00124667,0.237812,0.00005487662,0.00007512805,0.004765891,0.00008200872,0.000001475037,0.4383941,0.001109694,0.003637517,0.310569],"study_design_scores_gemma":[0.0002016136,0.002794406,0.9459801,0.000006390535,0.0000174269,0.002250884,0.00004157591,0.00003145214,0.0005161723,0.0001458026,0.04785436,0.0001597761],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965058,0.0002855372,5.827945e-7,0.0007457226,0.0000843828,0.0001020814,0.00005460492,0.00007447748,0.002146815],"genre_scores_gemma":[0.9988201,0.0001593383,0.0001666301,0.0005792769,0.0001136079,0.00001082936,0.0000358694,0.000001372347,0.0001129671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7081681,"threshold_uncertainty_score":0.9974856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06084502499060254,"score_gpt":0.3056941302940823,"score_spread":0.2448491053034798,"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."}}