{"id":"W4415674290","doi":"10.1111/cobi.70163","title":"Mapping area of habitat for inland wetland species","year":2025,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Bell (Canada)","funders":"Isaac Newton Trust; A.G. Leventis Foundation; Natural Environment Research Council; Cambridge Conservation Initiative; Arcadia Fund; Global Environment Facility; Prince Albert II of Monaco Foundation; Fund for Astrophysical Research","keywords":"Habitat; Wetland; IUCN Red List; Range (aeronautics); Biodiversity; Thematic map; Species distribution; Distribution (mathematics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009542319,0.00004776919,0.00009270603,0.00002813171,0.00005250973,0.000005022801,0.00007434199,0.00005083653,0.003363869],"category_scores_gemma":[0.0001132661,0.00004196804,0.00002884653,0.0001489965,0.000169933,0.00002806001,0.00004684365,0.00002025757,0.00003099299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006457382,"about_ca_system_score_gemma":0.00000707572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003899798,"about_ca_topic_score_gemma":0.0001262455,"domain_scores_codex":[0.9996169,0.00001591093,0.0001373104,0.0001097213,0.00002517074,0.00009500857],"domain_scores_gemma":[0.9997196,0.0001112628,0.00005322256,0.00008313875,0.0000191683,0.0000135988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002418895,0.00001634325,0.8485427,0.0000120828,0.000006878658,5.648921e-8,0.00004133493,9.883906e-7,0.05194427,0.00963906,0.08913057,0.0006415436],"study_design_scores_gemma":[0.0002481599,0.00001812572,0.598051,0.000005245932,0.00000228338,2.319235e-7,0.0002809869,0.00005888645,0.002301118,0.00126775,0.3977328,0.00003347352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9537319,0.00005449473,0.006667178,0.005022437,0.0001763242,0.0001695267,0.00009462728,0.0000168999,0.03406661],"genre_scores_gemma":[0.995672,0.0000463779,0.0002134037,0.001896087,0.000009546398,0.00003397548,0.0001782038,0.000002122952,0.00194823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3086022,"threshold_uncertainty_score":0.9975472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05172906738764083,"score_gpt":0.2719306217244937,"score_spread":0.2202015543368529,"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."}}