{"id":"W2153948882","doi":"10.2460/ajvr.67.8.1286","title":"Use of infrared spectroscopy for diagnosis of traumatic arthritis in horses","year":2006,"lang":"en","type":"article","venue":"American Journal of Veterinary Research","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Institute for Biodiagnostics; University of Prince Edward Island","funders":"","keywords":"Arthritis; Synovial fluid; Medicine; Linear discriminant analysis; Joint (building); Infrared spectroscopy; Calibration; Internal medicine; Pathology; Mathematics; Chemistry; Statistics; Osteoarthritis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003635078,0.001060977,0.0006189228,0.001823711,0.0003298611,0.001012529,0.0005386295,0.001346701,0.0004170159],"category_scores_gemma":[0.006145992,0.0002854153,0.0003908371,0.0004802682,0.0007426572,0.0006417389,0.0003994352,0.0004476008,0.0002633613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005318347,"about_ca_system_score_gemma":0.0003768534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001292154,"about_ca_topic_score_gemma":0.002557571,"domain_scores_codex":[0.9977993,0.000798585,0.0001510869,0.0003427709,0.0007715687,0.0001366351],"domain_scores_gemma":[0.9973475,0.0009202687,0.000897049,0.0001345512,0.000585612,0.0001150133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002624125,0.0008348587,0.6894625,0.0004882508,0.0003283198,0.0005457285,0.0002159858,0.004520389,0.213877,0.00008520554,0.0004153565,0.08660229],"study_design_scores_gemma":[0.00008531497,0.007183802,0.7742479,0.0002676221,0.0005782626,0.004692073,0.0006286686,0.09893359,0.111331,0.0003648187,0.001587657,0.00009925604],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911868,0.002222422,0.005836332,0.0001094885,0.00002223905,0.00004171386,0.00009570314,0.00005166383,0.0004336676],"genre_scores_gemma":[0.9937171,0.0004823186,0.005518104,0.00003840155,0.00001583439,0.00001310433,0.0001044382,0.000003736415,0.0001068751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003635078,"threshold_uncertainty_score":0.01922435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07554261285418616,"score_gpt":0.4166444883704475,"score_spread":0.3411018755162613,"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."}}