{"id":"W4296579562","doi":"","title":"Comparison between visual scoring system and five other methods to evaluate sow gait and lameness","year":2010,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Lameness; Gait; Gait analysis; Scoring system; Computer science; Physical medicine and rehabilitation; Computer vision; Artificial intelligence; Medicine; 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":[0.005310817,0.0006705732,0.0006286139,0.004868865,0.0004370873,0.0007975184,0.0008144183,0.0008611004,0.003318947],"category_scores_gemma":[0.008853186,0.0002771217,0.0007234059,0.001582118,0.0004390816,0.0007605572,0.0005946808,0.0004524793,0.0006596851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006469045,"about_ca_system_score_gemma":0.0006664257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002587953,"about_ca_topic_score_gemma":0.006394825,"domain_scores_codex":[0.996587,0.001263055,0.0003733704,0.0005271886,0.001099108,0.0001502093],"domain_scores_gemma":[0.9865499,0.005781827,0.0009948796,0.000645935,0.005454177,0.0005732942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01587284,0.001726339,0.4999013,0.0017097,0.001155567,0.0002126109,0.0009557274,0.003482366,0.09743592,0.0008029954,0.003295348,0.3734493],"study_design_scores_gemma":[0.0005271479,0.01029069,0.9050922,0.0002884626,0.001064088,0.001187754,0.001452084,0.04049017,0.03567924,0.0008687545,0.002833356,0.0002260628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9246674,0.00191602,0.06413486,0.0001572332,0.0004443892,0.0004957141,0.002320437,0.0005125308,0.005351406],"genre_scores_gemma":[0.9332584,0.0008652017,0.06046479,0.0001037396,0.00007673683,0.0004001852,0.001438549,0.0001091546,0.003283215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005310817,"threshold_uncertainty_score":0.0280866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07881112425528278,"score_gpt":0.3997914110521502,"score_spread":0.3209802867968674,"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."}}