{"id":"W4412008717","doi":"10.1111/cobi.70096","title":"Importance of connectivity for carnivore richness and occupancy in fragmented biodiversity hotspots","year":2025,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; University of British Columbia","funders":"Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica; University of British Columbia; Canada Research Chairs","keywords":"Carnivore; Occupancy; Geography; Species richness; Ecology; Habitat; Wildlife; Biodiversity; Landscape connectivity; Population; Biology; Predation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001047684,0.000228027,0.0003241344,0.001125132,0.0003873722,0.0009163316,0.0003533698,0.0003567066,0.001285016],"category_scores_gemma":[0.007778828,0.0002492121,0.0004770228,0.0007756116,0.0008580642,0.0009269079,0.0008730732,0.0003058428,0.00005834533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003763911,"about_ca_system_score_gemma":0.0001972352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008653131,"about_ca_topic_score_gemma":0.01487362,"domain_scores_codex":[0.9992443,0.0003050021,0.00005290265,0.0002390382,0.00006113735,0.00009768771],"domain_scores_gemma":[0.9936101,0.003230375,0.002084367,0.0003783893,0.0002183526,0.0004784662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000034432,0.0000100919,0.9964896,0.000012502,0.0001163019,0.00004696187,0.0002309237,0.0008759352,0.0003754249,0.00008964689,0.00001987164,0.001698403],"study_design_scores_gemma":[0.000001187708,0.00001706989,0.9972637,0.00000463414,0.00002526064,0.00006759661,0.0001628214,0.002269997,0.00002515264,0.0001244245,0.0000342096,0.000003878418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992828,0.0001065116,0.0003360859,0.00002541131,6.568534e-7,0.000002686176,0.00006091127,0.000004874889,0.0001800004],"genre_scores_gemma":[0.9997854,0.00001967243,0.000129954,0.000002314646,0.000001599489,0.000002195754,0.00004374095,0.000001504884,0.00001372057],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008653131,"threshold_uncertainty_score":0.01720554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253600801518113,"score_gpt":0.2501640369595038,"score_spread":0.2376280289443227,"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."}}