{"id":"W1971025384","doi":"10.2527/jas.2008-1554","title":"Eye white percentage as a predictor of temperament in beef cattle","year":2009,"lang":"en","type":"article","venue":"Journal of Animal Science","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Temperament; Beef cattle; Repeatability; Animal science; Digital image analysis; Mathematics; Statistics; Psychology; Biology; Personality; Social psychology; Computer vision; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0005815951,0.0001013573,0.0002415348,0.000185934,0.00009798286,0.00003110079,0.0003674906,0.0000308758,0.000149029],"category_scores_gemma":[0.0000814676,0.00007638149,0.00009016581,0.0003369118,0.0002567979,0.0004132458,0.00007460958,0.0001793648,0.00001013146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001368388,"about_ca_system_score_gemma":0.0001305926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004298855,"about_ca_topic_score_gemma":0.000002584634,"domain_scores_codex":[0.9985232,0.00002540963,0.0004350993,0.0001509159,0.0006071694,0.0002582018],"domain_scores_gemma":[0.9993875,0.00001424469,0.0002199133,0.00009593093,0.0001681862,0.0001142199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005170919,0.0002111341,0.2166683,0.000005175736,0.000003296495,0.0001166642,0.001700633,0.000001833675,0.7801129,0.0001664918,0.000114753,0.0003817015],"study_design_scores_gemma":[0.0003283033,0.007270607,0.9881572,0.00007502246,0.00001251203,0.0001538299,0.001288485,0.000008736436,0.002453313,0.00004849155,0.0001238046,0.00007974141],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996426,0.0001569006,0.00000544126,0.0007086733,0.00009955312,0.00007256791,0.000004954712,0.000005895631,0.002519956],"genre_scores_gemma":[0.9994228,0.00003887635,0.000342763,0.00008789508,0.00006713977,5.830927e-7,9.707066e-8,0.000003779916,0.00003606608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7776596,"threshold_uncertainty_score":0.3114747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03461954683271912,"score_gpt":0.3550920444848982,"score_spread":0.3204724976521791,"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."}}