{"id":"W4321225531","doi":"10.1038/s44185-022-00008-w","title":"Socio-ecological factors shape the distribution of a cultural keystone species in Malaysian Borneo","year":2023,"lang":"en","type":"article","venue":"npj Biodiversity","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Environment Research Council; University of California Berkeley; Natural Sciences and Engineering Research Council of Canada; Universiti Malaysia Sarawak; Sarawak Energy; Yayasan Sime Darby; Mohamed bin Zayed Species Conservation Fund; University of Montana; Sabah Biodiversity Centre; Idea Wild; Mustard Seed Foundation; National Science Foundation","keywords":"Keystone species; Ecology; Geography; Distribution (mathematics); Biology; Ecosystem; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001687436,0.00005763191,0.00007849689,0.00001554202,0.0001949647,0.000005961071,0.0001616475,0.00008394948,0.001623244],"category_scores_gemma":[0.00005447974,0.00003903677,0.00004401053,0.0003725754,0.000361212,0.0001078428,0.0001888037,0.00009451558,0.0005165659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001276955,"about_ca_system_score_gemma":0.000004581177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002865619,"about_ca_topic_score_gemma":0.0001704821,"domain_scores_codex":[0.9994718,0.00006084906,0.00008371163,0.0001285057,0.0001118245,0.0001432467],"domain_scores_gemma":[0.9997903,0.00006205796,0.0000468783,0.0000736228,0.000004962555,0.00002213973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000107147,0.00003224336,0.9838753,0.000001177357,0.000003507028,0.000003605038,0.0005980702,0.00006914916,0.0001450577,0.00005514728,0.01511164,0.00009443439],"study_design_scores_gemma":[0.0001249342,0.00002851761,0.9959071,9.96039e-7,0.000006175543,3.313372e-7,0.002112363,0.0001755071,0.00009635343,0.00007074579,0.00142816,0.00004880776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964684,0.000001549463,0.000002505765,0.002633386,0.00007017864,0.00009235106,0.00007544039,0.00002765714,0.0006285931],"genre_scores_gemma":[0.9994811,0.00001077492,0.000005212371,0.0001190054,0.000006613788,0.00000163583,0.0001153554,5.583894e-7,0.000259765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01368348,"threshold_uncertainty_score":0.9992894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02849269873262918,"score_gpt":0.2181507987896984,"score_spread":0.1896581000570692,"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."}}