{"id":"W3088718065","doi":"10.1111/vcp.12895","title":"Lipoprotein characterization in Quaker parrots (<i>Myiopsitta monachus</i>) using gel‐permeation high‐performance liquid chromatography","year":2020,"lang":"en","type":"article","venue":"Veterinary Clinical Pathology","topic":"Bird parasitology and diseases","field":"Immunology and Microbiology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"University of Guelph; Quaker","keywords":"Very low-density lipoprotein; Lipoprotein; Chromatography; High-performance liquid chromatography; Triglyceride; Chemistry; Cholesterol; Intermediate-density lipoprotein; High-density lipoprotein; Gel permeation chromatography; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000401498,0.000302121,0.0006689164,0.0001537753,0.0001719709,0.00001054228,0.0002993701,0.000882506,0.0003154159],"category_scores_gemma":[0.0002116216,0.0003014788,0.0001658953,0.0003501951,0.0005583653,0.0003063437,0.0001753226,0.0006261759,0.0005477918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002065977,"about_ca_system_score_gemma":0.00006385856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002899142,"about_ca_topic_score_gemma":0.000003467665,"domain_scores_codex":[0.9965056,0.001216374,0.0009854225,0.0007420972,0.0000480551,0.0005025163],"domain_scores_gemma":[0.9989992,0.0001868598,0.0003079434,0.0003603566,0.00005674415,0.00008891396],"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":[0.003990903,0.000417596,0.1602039,0.00006793458,0.00005934894,0.0003361428,0.0001832226,0.00002765577,0.830604,0.0001200624,0.00005470698,0.003934553],"study_design_scores_gemma":[0.002675126,0.004681345,0.9810137,0.00006209283,0.0000645202,0.000499961,0.00003469678,0.000298506,0.007308234,0.00004383773,0.002889743,0.0004282122],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996186,0.000459944,0.0006666922,0.0008264721,0.001075365,0.0004510846,0.00008820016,0.0001740628,0.00007215168],"genre_scores_gemma":[0.9958113,0.0002568351,0.000237941,0.002823635,0.0001874374,0.00006481654,0.0005618435,0.00003206715,0.00002415513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8232958,"threshold_uncertainty_score":0.9999437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.069279231312587,"score_gpt":0.3247287267591111,"score_spread":0.2554494954465241,"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."}}