{"id":"W4394726414","doi":"10.3390/s24082441","title":"Dirt Track Surface Preparation and Associated Differences in Speed, Stride Length, and Stride Frequency in Galloping Horses","year":2024,"lang":"en","type":"article","venue":"Sensors","topic":"Veterinary Equine Medical Research","field":"Veterinary","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"STRIDE; Environmental science; Animal science; Track (disk drive); Dirt; Simulation; Mathematics; Medicine; Physical medicine and rehabilitation; Engineering; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004342648,0.0002619554,0.0003469546,0.0004209179,0.0002105959,0.0004186332,0.0001941602,0.0004329479,0.0009640763],"category_scores_gemma":[0.001524972,0.0002774759,0.0002902823,0.0002571062,0.0002901387,0.0002521711,0.0003086189,0.000205595,0.0001682284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002457717,"about_ca_system_score_gemma":0.0001766725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00453566,"about_ca_topic_score_gemma":0.01081826,"domain_scores_codex":[0.9996917,0.00008351994,0.00001865508,0.0001016806,0.00002948467,0.00007492786],"domain_scores_gemma":[0.9992968,0.0001671733,0.0002990287,0.0000650432,0.00005467229,0.0001172654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001475177,0.0002283866,0.9712375,0.00004371439,0.0001475375,0.0001696141,0.0003795843,0.0009657197,0.01942934,0.00002862461,0.0000693211,0.005825446],"study_design_scores_gemma":[0.000001615173,0.0003101242,0.9985653,0.000002231533,0.00001088936,0.00002688435,0.00008164809,0.0006964277,0.0002551584,0.00001089889,0.00003667907,0.000002118248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997688,0.00003041066,0.0001243473,0.000004704706,9.464165e-7,0.000002200816,0.0000265457,0.000002503951,0.00003953624],"genre_scores_gemma":[0.999361,0.00002471097,0.0002203658,0.00000553869,0.00000216099,0.000008227649,0.0001325965,0.000002806866,0.0002425585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00453566,"threshold_uncertainty_score":0.00901854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09067503464096756,"score_gpt":0.3764678955884262,"score_spread":0.2857928609474586,"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."}}