{"id":"W4414830605","doi":"10.1093/jas/skaf300.117","title":"244 Gait changes in the aging canine.","year":2025,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"dental development and anomalies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gait; Covariate; Lower limb; Gait analysis; Repeated measures design; Gait cycle","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005578157,0.0002010642,0.0003131498,0.001328857,0.0001742028,0.0003965833,0.0001520696,0.0002531363,0.001132156],"category_scores_gemma":[0.001043467,0.0001309631,0.0002815371,0.0008633186,0.0002514935,0.000251937,0.0001988414,0.0001473004,0.0003163331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002621641,"about_ca_system_score_gemma":0.0001493252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002129305,"about_ca_topic_score_gemma":0.004490976,"domain_scores_codex":[0.9996506,0.00005873089,0.00005795992,0.000088164,0.0001090076,0.000035554],"domain_scores_gemma":[0.9994197,0.00004891123,0.0003383858,0.00003942064,0.0001134638,0.00004024986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006016301,0.0001681522,0.9406145,0.0001918271,0.0001290509,0.0005285555,0.0002679075,0.000424983,0.02031978,0.00007023181,0.0006856461,0.03599774],"study_design_scores_gemma":[0.000003035064,0.0003595965,0.9973528,0.00001101768,0.00001708265,0.0006162377,0.00006394402,0.0003069201,0.0006309832,0.00002073299,0.000613681,0.000003948814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965214,0.0007723079,0.0006422955,0.00002243741,0.00001329142,0.0000263473,0.001230664,0.00002682845,0.0007444501],"genre_scores_gemma":[0.9965032,0.0003097257,0.001085626,0.00002767432,0.00001566557,0.00003538708,0.001524225,0.000008617663,0.000489746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002129305,"threshold_uncertainty_score":0.004233837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01236689945626369,"score_gpt":0.2732753171600008,"score_spread":0.2609084177037371,"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."}}