{"id":"W3134793497","doi":"10.1038/s41598-021-84371-x","title":"Optimism and pasture access in dairy cows","year":2021,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Directorate for Biological Sciences; European Research Council; Agri-Food and Biosciences Institute; European Commission; Queen's University; Queen's University Belfast; Department for the Economy","keywords":"Pasture; Judgement; Dairy cattle; Anticipation (artificial intelligence); Optimism; Cognition; Psychology; Animal science; Computer science; Biology; Social psychology; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004060509,0.0001108195,0.0001743577,0.00007458233,0.0002315884,0.0002992707,0.00007853503,0.0000561732,0.0002969165],"category_scores_gemma":[0.00008324732,0.00009866153,0.00004529244,0.0003339795,0.0001650114,0.0002300506,0.0003725514,0.000119716,0.00001021862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002194517,"about_ca_system_score_gemma":0.00005831704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004338665,"about_ca_topic_score_gemma":0.00006217188,"domain_scores_codex":[0.9985806,0.00003621401,0.000285484,0.0006371632,0.000235169,0.0002253613],"domain_scores_gemma":[0.9993116,0.00001616428,0.00008175267,0.0004184425,0.0001061996,0.00006588589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003930253,0.0001811606,0.8503114,0.00007120993,0.00002108472,0.04590212,0.001984738,0.000005667277,0.05753998,0.0001172218,0.03791213,0.005913969],"study_design_scores_gemma":[0.0001386975,0.00003593058,0.9582389,0.00004845086,0.00001775034,0.002422981,0.0006695434,0.000008726332,0.001763002,0.001193863,0.03526003,0.0002021204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987397,0.0008714095,0.00001286875,0.0003437594,0.002553944,0.0001115056,0.000003380934,0.00004324256,0.008662958],"genre_scores_gemma":[0.9966714,0.00001584755,0.0002025757,0.00004220464,0.00003873669,0.00001697631,0.00002384701,0.000009887567,0.00297851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1079275,"threshold_uncertainty_score":0.40233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06650359630910443,"score_gpt":0.3538732666426074,"score_spread":0.287369670333503,"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."}}