{"id":"W1998728811","doi":"10.3415/vcot-10-03-0039","title":"Kinematic analysis of Labrador Retrievers and Rottweilers trotting on a treadmill","year":2011,"lang":"en","type":"article","venue":"Veterinary and Comparative Orthopaedics and Traumatology","topic":"Veterinary Orthopedics and Neurology","field":"Veterinary","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Kinematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002781266,0.000346815,0.001066564,0.0005577349,0.0001850283,0.00001612642,0.0001130854,0.0001660603,0.0001305632],"category_scores_gemma":[0.00002670832,0.0003058399,0.0001448573,0.0004718947,0.0006191238,0.0001516474,0.0001567635,0.0002546404,0.000002684212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005820051,"about_ca_system_score_gemma":0.00001637995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008523964,"about_ca_topic_score_gemma":0.00002582656,"domain_scores_codex":[0.9980044,0.0003462087,0.000569209,0.0006056339,0.000133005,0.0003415103],"domain_scores_gemma":[0.998849,0.0003397785,0.0002852469,0.0002783058,0.000049657,0.000197978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04188905,0.003033845,0.6303293,0.001978087,0.01260766,0.01191455,0.06560425,0.00003351625,0.01605845,0.1734085,0.0002116381,0.04293119],"study_design_scores_gemma":[0.003918896,0.04408811,0.924955,0.0001286934,0.001893446,0.007440581,0.00299739,0.009664062,0.0001347015,0.0009965528,0.002802764,0.0009798628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960469,0.0004963258,0.0001135342,0.00008645438,0.0001045763,0.000266385,0.0000604305,0.00004149866,0.002783868],"genre_scores_gemma":[0.9986379,0.0004054312,0.0006589331,0.0001824401,0.00001470867,0.00003488601,0.00001894371,0.0000168855,0.00002991551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2946257,"threshold_uncertainty_score":0.9999394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2495010708276132,"score_gpt":0.3411549608296535,"score_spread":0.09165389000204027,"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."}}