{"id":"W4395056225","doi":"10.1055/s-0044-1786222","title":"Capturing Kinematics on Competitive Trial Labradors in the Field","year":2024,"lang":"en","type":"article","venue":"VCOT Open","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kinematics; Field trial; Computer science; Field (mathematics); Mathematics; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0009670417,0.00007050685,0.000169438,0.00004379269,0.0008840609,0.00003074515,0.0003188459,0.00008234398,0.0008110946],"category_scores_gemma":[0.0002260772,0.0000419085,0.00002696707,0.0001249462,0.00001316342,0.00003813676,0.0002734728,0.0004996152,0.0007461637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008873203,"about_ca_system_score_gemma":0.0001397195,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006360232,"about_ca_topic_score_gemma":0.03702699,"domain_scores_codex":[0.9988949,0.0002817321,0.0002334757,0.0001308763,0.00008086037,0.0003781697],"domain_scores_gemma":[0.9975895,0.002184004,0.00003421937,0.0001548197,0.0000208475,0.0000165954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002724423,0.0002249215,0.001407454,0.0004242487,0.00009111734,0.0001923549,0.4492643,0.00002826477,0.000004603397,0.3262419,0.2180528,0.001343593],"study_design_scores_gemma":[0.01339092,0.001540883,0.003754349,0.0008873916,0.00003849221,0.000002677026,0.2916349,0.0002028502,0.00001643884,0.005235844,0.6830097,0.0002856292],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3367544,0.0001134728,0.00001311941,0.0337336,0.003115104,0.003921854,0.00001408925,0.00003414063,0.6223003],"genre_scores_gemma":[0.9845065,0.00004507434,0.00006932038,0.01128219,0.0005710414,0.0004499555,0.000005680564,0.00001223638,0.003058041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6477521,"threshold_uncertainty_score":0.9805447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0958529362053056,"score_gpt":0.4743812448894676,"score_spread":0.378528308684162,"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."}}