{"id":"W2239478640","doi":"10.5455/ovj.2015.v5.i2.p158","title":"Effectiveness of slow motion video compared to real time video in improving the accuracy and consistency of subjective gait analysis in dogs","year":2015,"lang":"en","type":"article","venue":"Open Veterinary Journal","topic":"Veterinary Orthopedics and Neurology","field":"Veterinary","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Lameness; Gait; Consistency (knowledge bases); Kinematics; Physical medicine and rehabilitation; Gait analysis; Motion (physics); Motion analysis; Medicine; Computer science; Artificial intelligence; Surgery","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":[0.00693428,0.0004025957,0.0005030533,0.001483289,0.0001552178,0.0008783081,0.0004039489,0.0005082541,0.0008263859],"category_scores_gemma":[0.02228099,0.0002739849,0.0002833304,0.0005666469,0.0004484718,0.000903362,0.0005674877,0.0002667982,0.0001985839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003098994,"about_ca_system_score_gemma":0.0002682247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001432702,"about_ca_topic_score_gemma":0.002469206,"domain_scores_codex":[0.9957471,0.002293792,0.0003501778,0.000535918,0.0009536093,0.0001192889],"domain_scores_gemma":[0.9800988,0.01083611,0.003974995,0.0008852871,0.003750125,0.0004545881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.02724019,0.001130883,0.3986081,0.001622491,0.0006017633,0.0004233707,0.001764891,0.004890085,0.1608094,0.0002381691,0.001186663,0.4014841],"study_design_scores_gemma":[0.0003778771,0.02608848,0.9028579,0.0002246196,0.0005783094,0.001427002,0.0007889895,0.02534452,0.03989124,0.00019587,0.002072161,0.0001530149],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909615,0.001448485,0.006322849,0.0000613637,0.0000564706,0.00008939535,0.0001267614,0.00008281766,0.0008502782],"genre_scores_gemma":[0.9860568,0.0005388297,0.01258274,0.00006456309,0.00006527338,0.00005431808,0.0001928342,0.00002659748,0.0004179577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00693428,"threshold_uncertainty_score":0.03667247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06910499394298823,"score_gpt":0.3501837823240667,"score_spread":0.2810787883810784,"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."}}