{"id":"W2159664709","doi":"10.1111/vcp.12175","title":"Automated hematologic analysis of bone marrow aspirate samples from healthy Beagle dogs","year":2014,"lang":"en","type":"article","venue":"Veterinary Clinical Pathology","topic":"Hematological disorders and diagnostics","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Beagle; Bone marrow; Pathology; Medicine; Bone marrow aspirate; Hematology; Bone marrow examination; Hematologic Neoplasms; Internal medicine; Cancer","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095753,0.0002491658,0.002223508,0.0002463711,0.00006227555,0.000007557901,0.000164238,0.0005726565,0.0005460375],"category_scores_gemma":[0.005338301,0.0001916907,0.0005849965,0.0005990191,0.0005187932,0.00003301754,0.0001745668,0.0003528041,0.0001109654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001491217,"about_ca_system_score_gemma":0.00004549883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001240737,"about_ca_topic_score_gemma":0.00002857046,"domain_scores_codex":[0.996235,0.0008355847,0.001649003,0.0006596047,0.0001941479,0.000426655],"domain_scores_gemma":[0.9945398,0.003832041,0.0004675087,0.0007164516,0.0001266999,0.000317499],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002374442,0.003138849,0.976454,0.0002237982,0.0008751508,0.002450574,0.00008638466,0.00005495661,0.004720791,0.002042348,0.00253304,0.005045736],"study_design_scores_gemma":[0.00283035,0.01433695,0.9650006,0.00006597745,0.001582349,0.0002382609,0.00004188153,0.009552057,0.00006179976,0.002596416,0.003395798,0.0002975603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944137,0.0004868803,0.001490527,0.001897601,0.0002765549,0.000250658,0.00013007,0.0003236091,0.0007304221],"genre_scores_gemma":[0.9845043,0.0002821793,0.008406999,0.00629627,0.00006730798,0.00002266949,0.0003837902,0.0000201272,0.00001629029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01145334,"threshold_uncertainty_score":0.781692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1248570188027141,"score_gpt":0.4101765531770138,"score_spread":0.2853195343742997,"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."}}