{"id":"W3153298522","doi":"10.1098/rspb.2020.2718","title":"A deepening understanding of animal culture suggests lessons for conservation","year":2021,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"Primate Behavior and Ecology","field":"Psychology","cited_by":156,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of British Columbia","funders":"Biotechnology and Biological Sciences Research Council; Royal Society Te Apārangi; Natural Environment Research Council; Sight Research UK; Royal Society","keywords":"Diversification (marketing strategy); Population; Environmental resource management; Social learning; Identification (biology); Convention; Conservation biology; Ecology; Biology; Environmental planning; Environmental ethics; Geography; Business; Sociology; Knowledge management; Economics; Social science; Computer science; Marketing","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":[0.0006330881,0.00008889604,0.0002026954,0.000008916655,0.0003411003,0.00002386779,0.0003558343,0.0001903458,0.0001308701],"category_scores_gemma":[0.0002289389,0.00005156294,0.0002246069,0.0003169967,0.0007591309,0.00005159581,0.0001610825,0.0001040847,9.499703e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004882757,"about_ca_system_score_gemma":0.00003765437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000024959,"about_ca_topic_score_gemma":0.00000289503,"domain_scores_codex":[0.9990849,0.0000140641,0.0002188959,0.0002807738,0.0001269908,0.0002743548],"domain_scores_gemma":[0.9994025,0.0001454332,0.0002243688,0.0000417515,0.0001537442,0.0000322647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000620861,0.0001435704,0.5914837,0.00004070768,0.00003794867,1.713621e-7,0.002631898,0.000001866818,0.1724163,0.2277541,0.005261883,0.0001657273],"study_design_scores_gemma":[0.0009833507,0.001554462,0.852119,0.00008620491,0.000107206,0.0000174952,0.05391539,0.0009201802,0.0542214,0.03508941,0.000640532,0.0003453277],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921881,0.0001408714,0.0001880728,0.002264585,0.0001669137,0.0001618812,0.00001547914,0.00002136176,0.004852725],"genre_scores_gemma":[0.997187,0.00001368519,0.002357239,0.0002131707,0.00003179607,0.00002140155,0.000001836544,0.000002826577,0.000171032],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2606354,"threshold_uncertainty_score":0.279705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1563216872455531,"score_gpt":0.3692261872875461,"score_spread":0.212904500041993,"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."}}