{"id":"W2133895752","doi":"10.1136/vetreco-2014-000062","title":"Using physical and emotional parameters to assess donkey welfare in Botswana","year":2015,"lang":"en","type":"article","venue":"Veterinary Record Open","topic":"Veterinary Equine Medical Research","field":"Veterinary","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Donkey; Welfare; Psychology; Statistics; Geography; Mathematics; Economics; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001089202,0.0003709914,0.0006216365,0.000349571,0.0001509129,0.0003290813,0.001139159,0.0001332813,0.0002728416],"category_scores_gemma":[0.0005646887,0.0003594492,0.00007979666,0.0006421269,0.0001569493,0.0008697747,0.003368758,0.0004943014,0.0001988508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003906215,"about_ca_system_score_gemma":0.0002014673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002580452,"about_ca_topic_score_gemma":0.00005685313,"domain_scores_codex":[0.9964803,0.0006179438,0.0004744827,0.0009017728,0.000715434,0.0008100378],"domain_scores_gemma":[0.998018,0.000208587,0.00008878087,0.0006335979,0.0001146001,0.0009364198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.06292796,0.007558142,0.1818136,0.001625396,0.0007174132,0.08138938,0.01253418,0.001059632,0.2160307,0.00391726,0.0186459,0.4117804],"study_design_scores_gemma":[0.02046879,0.1430966,0.3742733,0.003078191,0.000128686,0.02495377,0.007863672,0.07945583,0.0003733275,0.007363327,0.3325993,0.006345306],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922605,0.00002651708,0.0003353441,0.001752378,0.0004314597,0.001143942,0.00004050265,0.00006281876,0.003946596],"genre_scores_gemma":[0.9748502,0.000006432065,0.02417332,0.0002846769,0.000167991,0.0001584643,0.0000225748,0.00007347298,0.0002628571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4054351,"threshold_uncertainty_score":0.9998857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5776912223072622,"score_gpt":0.5059212563871197,"score_spread":0.07176996592014251,"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."}}