{"id":"W1970910896","doi":"10.1016/j.vetimm.2003.10.011","title":"Construction and application of a bovine immune-endocrine cDNA microarray","year":2004,"lang":"en","type":"article","venue":"Veterinary Immunology and Immunopathology","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; University of Guelph","keywords":"Biology; Complementary DNA; Molecular biology; Housekeeping gene; Gene; Immune system; Microarray; Gene expression; Genetics","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":[0.00136063,0.0009130443,0.001883994,0.001449365,0.001395896,0.00112939,0.001316706,0.0009786615,0.004710408],"category_scores_gemma":[0.001057692,0.001546149,0.001885932,0.001435564,0.0005750188,0.0006227158,0.001048444,0.003177159,0.003594359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009367415,"about_ca_system_score_gemma":0.001445889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003300728,"about_ca_topic_score_gemma":0.006078159,"domain_scores_codex":[0.9984498,0.0002315738,0.0001725532,0.000507647,0.0003497383,0.0002886813],"domain_scores_gemma":[0.9991391,0.0003232912,0.00007799391,0.0001492662,0.0001586737,0.0001516431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006638569,0.00004757452,0.00008526237,0.00007714672,0.00000829793,0.0000290965,0.00003303424,0.0001805714,0.9968298,0.0002627802,0.0001855805,0.002194407],"study_design_scores_gemma":[0.00008714669,0.0004343888,0.004091641,0.00003662219,0.0001029232,0.0002130596,0.00008592245,0.003390646,0.9588379,0.0004578191,0.03221659,0.00004550743],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3096484,0.002904874,0.6277958,0.002021586,0.001118997,0.006282021,0.03018628,0.003825912,0.01621606],"genre_scores_gemma":[0.2004463,0.002858899,0.6766793,0.001360993,0.0002831772,0.006180566,0.07665602,0.001034879,0.03449982],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004710408,"threshold_uncertainty_score":0.01575786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004939915373585697,"score_gpt":0.2203774049920499,"score_spread":0.2154374896184642,"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."}}