{"id":"W2345739216","doi":"10.1111/vcp.12362","title":"Hematologic reference intervals for <i>Xenopus tropicalis</i> with partial use of automatic counting methods and reliability of long‐term stored samples","year":2016,"lang":"en","type":"article","venue":"Veterinary Clinical Pathology","topic":"Clinical Laboratory Practices and Quality Control","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"Canadian Wildlife Health Cooperative","keywords":"Hemocytometer; Cell counting; Biology; Blood cell; Complete blood count; Concordance; Pathology; Andrology; Medicine; Immunology; Cell; Bioinformatics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0036978,0.000455179,0.0002654117,0.001418634,0.0005176377,0.001055185,0.0009389203,0.0004913592,0.00112537],"category_scores_gemma":[0.005770261,0.0001762077,0.0003395446,0.001214114,0.0005519408,0.0003499929,0.0004006987,0.0004696999,0.0004679222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006694688,"about_ca_system_score_gemma":0.0004026604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004205452,"about_ca_topic_score_gemma":0.00352606,"domain_scores_codex":[0.9964648,0.00106639,0.0004295457,0.0006573413,0.001273536,0.0001082776],"domain_scores_gemma":[0.9954035,0.0009792951,0.001309361,0.0006515777,0.001587562,0.00006872277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001713085,0.0002164987,0.6291121,0.0005235352,0.0002239367,0.0003643544,0.001217124,0.002130225,0.2438072,0.001028397,0.00237315,0.1172903],"study_design_scores_gemma":[0.0000458918,0.001818474,0.7999653,0.0002549911,0.0002920748,0.002815167,0.0004752434,0.005158989,0.1775438,0.0004855586,0.01107748,0.0000669419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.937143,0.004579941,0.0482426,0.0001841066,0.0001424554,0.0002489516,0.001931471,0.0006022782,0.006925185],"genre_scores_gemma":[0.9517418,0.0006774378,0.04348555,0.0001475006,0.00007167014,0.0003108628,0.00221385,0.00007243009,0.001279046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004205452,"threshold_uncertainty_score":0.01955605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3126973331131607,"score_gpt":0.5048309267144914,"score_spread":0.1921335936013307,"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."}}