{"id":"W3048747468","doi":"10.21887/ijvsbt.15.4.13","title":"Surveillance and Prevalence of Canine Reproductive Disorders in Gujarat","year":2020,"lang":"en","type":"article","venue":"˜The œIndian journal of veterinary sciences and biotechnology","topic":"Veterinary Oncology Research","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Pyometra; Gynecology; Incidence (geometry); Pregnancy; Obstetrics; Internal medicine; Uterus","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":[],"consensus_categories":[],"category_scores_codex":[0.0009149574,0.0000894881,0.0002967049,0.0002107802,0.00008119684,0.00000804413,0.0002765851,0.0001059154,0.00001533952],"category_scores_gemma":[0.0001710903,0.00005673368,0.00003012932,0.0005411647,0.002226347,0.00009930204,0.0001713214,0.000374917,5.826749e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001595371,"about_ca_system_score_gemma":0.0001239949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002774524,"about_ca_topic_score_gemma":0.00003450641,"domain_scores_codex":[0.9989582,0.0001141421,0.0002966954,0.0002533836,0.0001691416,0.0002084119],"domain_scores_gemma":[0.9994495,0.0000874059,0.0001933294,0.0001370179,0.00004867182,0.00008407681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001860502,0.0001580471,0.5908166,0.0005547024,0.00006081583,0.001635125,0.003259737,0.0000242713,0.3523966,0.00009569691,0.00008579243,0.0490521],"study_design_scores_gemma":[0.001940846,0.06470679,0.8783608,0.0002106186,0.00002403986,0.04630353,0.004033817,0.0006130732,0.001010686,0.0003825634,0.002221324,0.0001918925],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566566,0.002310803,0.00002621433,0.0407322,0.00005840115,0.0001636034,0.000003995149,0.000005488842,0.00004272537],"genre_scores_gemma":[0.9965164,0.002527948,0.0007827444,0.0001097838,0.00004012664,0.00000146854,1.113181e-7,0.000003793069,0.00001758997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.351386,"threshold_uncertainty_score":0.820307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04076861556067828,"score_gpt":0.327451655213629,"score_spread":0.2866830396529507,"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."}}