{"id":"W2295005244","doi":"10.1111/acv.12262","title":"Categorizing species by niche characteristics can clarify conservation planning in rapidly‐developing landscapes","year":2016,"lang":"en","type":"article","venue":"Animal Conservation","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Erasmus+; Rufford Foundation; Wildlife Conservation Society","keywords":"Flagship species; Habitat; Threatened species; Ecology; Geography; Elephas; Biodiversity; Habitat destruction; IUCN Red List; Woodland; Biology; Endangered species","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":[0.0004664155,0.0001792883,0.0001958413,0.00006905563,0.0001929506,0.00003829904,0.0001635639,0.0002680781,0.0003217131],"category_scores_gemma":[0.0003844273,0.0001555341,0.00002926085,0.0003140337,0.0001062242,0.0005386077,0.00007783229,0.0002149964,0.0001054068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002774505,"about_ca_system_score_gemma":0.0000623562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007354176,"about_ca_topic_score_gemma":0.001548531,"domain_scores_codex":[0.9985698,0.0001219072,0.0004346205,0.0003512027,0.0001978451,0.0003245645],"domain_scores_gemma":[0.9991822,0.0003593344,0.000227416,0.0001482051,0.0000320091,0.00005079063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007137299,0.00001931379,0.9315371,0.000005776663,0.000006961697,0.000005844233,0.0002640849,0.000002177678,0.05556391,0.0008685531,0.01099148,0.0006634396],"study_design_scores_gemma":[0.0005107753,0.00006690923,0.980469,0.0000719122,0.000008467089,0.000004469397,0.000104236,0.0004316858,0.002202509,0.0004257126,0.01546577,0.0002385268],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646418,0.00001692739,0.001185527,0.03308394,0.000128914,0.0002003412,0.00001582028,0.00006934925,0.0006573582],"genre_scores_gemma":[0.9926632,0.00003899907,0.000457553,0.006033973,0.00006089477,0.0000391868,0.0001088975,0.00001628347,0.0005810228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0533614,"threshold_uncertainty_score":0.6342496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02236738847798787,"score_gpt":0.2310283142544674,"score_spread":0.2086609257764796,"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."}}