{"id":"W3026833665","doi":"10.3390/ani10050882","title":"Understanding Temporal Social Dynamics in Zoo Animal Management: An Elephant Case Study","year":2020,"lang":"en","type":"article","venue":"Animals","topic":"Animal Behavior and Welfare Studies","field":"Veterinary","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chester Zoo; Colchester Zoo; Trent University; Banco Santander; Nottingham Trent University","keywords":"Reciprocity (cultural anthropology); Social dynamics; Social relation; Social animal; Social network (sociolinguistics); Welfare; Dynamics (music); Psychology; Social psychology; Biology; Ecology; Sociology; Social science; Political science; Social media","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002298773,0.0002658326,0.0003687892,0.0001013851,0.0003724676,0.00007792161,0.0001912684,0.0000735536,0.0001133511],"category_scores_gemma":[0.000008598182,0.0002722489,0.00008718822,0.0003469042,0.00006334214,0.0002438613,0.000276901,0.0002130329,0.00004372159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000326521,"about_ca_system_score_gemma":0.0000121658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006191859,"about_ca_topic_score_gemma":0.0009113909,"domain_scores_codex":[0.9982727,0.0001447934,0.0003915105,0.0005207148,0.0002454939,0.000424833],"domain_scores_gemma":[0.9996189,0.00002119886,0.00008791823,0.0001320334,0.00002591137,0.000114024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002336103,0.001091253,0.7998546,0.0001127771,0.0002084178,0.1458398,0.01960044,9.744784e-7,0.001113109,0.02858713,0.0004144147,0.0008409854],"study_design_scores_gemma":[0.002356443,0.008948181,0.4982818,0.00001711373,0.000200552,0.0007317507,0.4869109,0.00134059,0.000007078262,0.0003627089,0.000116367,0.0007265148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931544,0.00004069932,0.0001449842,0.0003921975,0.0000418444,0.0005876136,0.00004459747,0.0001689816,0.005424684],"genre_scores_gemma":[0.9994605,0.000005487408,0.0001351616,0.0001432046,0.0001435207,0.00003745555,0.00001216496,0.00004702955,0.00001542866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4673105,"threshold_uncertainty_score":0.999973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3483144424176993,"score_gpt":0.3983486602360631,"score_spread":0.05003421781836381,"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."}}