{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008637308,0.0002417585,0.0001528486,0.003009495,0.000502902,0.0008663157,0.0002721115,0.0002192634,0.001740934],"category_scores_gemma":[0.002058849,0.000126716,0.0001475416,0.002054585,0.0006033726,0.0007678285,0.0007380529,0.000240778,0.0001768465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003625674,"about_ca_system_score_gemma":0.0003319087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006609404,"about_ca_topic_score_gemma":0.02537174,"domain_scores_codex":[0.9997634,0.0001041759,0.00002304331,0.0000396126,0.0000231277,0.0000466905],"domain_scores_gemma":[0.9985088,0.000584261,0.0004624412,0.00008792508,0.0001681914,0.0001884237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001306149,0.00005508219,0.9599775,0.0001002955,0.00003111307,0.0001461298,0.003883482,0.00162251,0.004555318,0.000863996,0.0004348277,0.02819909],"study_design_scores_gemma":[0.000004209418,0.00007061962,0.9827753,0.00003445834,0.00001078534,0.00007961928,0.01122872,0.002996433,0.0004729783,0.001102574,0.001211986,0.00001243204],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965408,0.00007804798,0.001497103,0.00005208551,0.000002066933,0.00002609226,0.000226688,0.00001356668,0.001563616],"genre_scores_gemma":[0.9971751,0.00003480603,0.002554165,0.000007613673,0.000001541848,0.00001070255,0.0001354109,0.000002674254,0.00007803899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006609404,"threshold_uncertainty_score":0.01314187,"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."}}