{"id":"W3113986157","doi":"10.1016/j.neulet.2020.135593","title":"Neurofilament light plasma concentration positively associates with age and negatively associates with weight and height in the dog","year":2020,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neurological diseases and metabolism","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. National Library of Medicine; National Institutes of Health; Vetenskapsrådet; European Research Council; UK Dementia Research Institute; Alzheimer's Drug Discovery Foundation","keywords":"Labrador Retriever; Coat; Biomarker; Breed; Population; Body weight; Neurofilament; Physiology; Medicine; Plasma concentration; Biology; Endocrinology; Internal medicine; Animal science; Pathology; Biochemistry; Ecology","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":[0.0001307342,0.0002712792,0.0002524315,0.00003993278,0.0003445539,0.0003978312,0.0003494353,0.00004062749,0.000003256841],"category_scores_gemma":[0.0003691473,0.0001540677,0.00003123229,0.0006298245,0.0006668025,0.0004848504,0.00008987625,0.0003536631,0.000002453959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001596976,"about_ca_system_score_gemma":0.0000273004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001045607,"about_ca_topic_score_gemma":0.000004509878,"domain_scores_codex":[0.9973277,0.0004546889,0.0002020454,0.0008879753,0.0006232913,0.0005042961],"domain_scores_gemma":[0.999052,0.0004247818,0.0001711771,0.0001290613,0.00001756086,0.0002053483],"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":[0.0001425051,0.00008451838,0.03433956,0.00001042714,0.000001879867,0.001088396,0.001412304,0.00003022165,0.9612564,0.00118356,0.0002236122,0.0002265586],"study_design_scores_gemma":[0.001509255,0.001086026,0.9120423,0.00002349846,0.0000399578,0.00006742704,0.00009333127,0.001028517,0.08125128,0.00007119953,0.002426474,0.0003607782],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9262378,0.00002749528,0.00003528391,0.07282712,0.0000770683,0.0004916734,0.0000226029,0.00005211155,0.0002288803],"genre_scores_gemma":[0.8857383,0.0001177262,0.00003779864,0.1140023,0.00004796652,0.00002937366,9.5208e-7,0.00001449495,0.00001108808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8800052,"threshold_uncertainty_score":0.6282698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0202078745764913,"score_gpt":0.2236809414204166,"score_spread":0.2034730668439253,"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."}}