{"id":"W2771263356","doi":"10.1111/conl.12430","title":"Asymmetric cross‐border protection of peripheral transboundary species","year":2017,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; University of Alberta; ARC Resources (Canada); Thompson Rivers University","funders":"Office of International Science and Engineering; Centro Nacional de Investigaciones Cardiovasculares; National Science Foundation","keywords":"Climate change; Geography; Range (aeronautics); Environmental resource management; Ecology; Biology; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001299664,0.00008352658,0.00009445759,0.0000270396,0.0004286388,0.0001397312,0.0001723446,0.00004198557,0.02864007],"category_scores_gemma":[0.00008711626,0.00008274983,0.00005828148,0.0001237224,0.0005429583,0.0004073588,0.00004598772,0.00006742509,0.0001578741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002050557,"about_ca_system_score_gemma":0.000006671132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006408736,"about_ca_topic_score_gemma":0.0001984108,"domain_scores_codex":[0.9992936,0.00002044243,0.0001664928,0.0001620239,0.0002179192,0.0001395841],"domain_scores_gemma":[0.9994867,0.00001080442,0.000165562,0.0002824453,0.00001950979,0.00003494762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006449874,0.00007824825,0.655084,0.00003068917,0.00001672614,0.000003212208,0.0003113339,0.000051601,0.3114108,0.0004633366,0.02657945,0.005906069],"study_design_scores_gemma":[0.0003229899,0.00001729933,0.8644208,0.000004121135,0.000004283424,0.000002288507,0.00005786832,0.00007651941,0.006927191,0.00001181567,0.1280702,0.00008459399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631388,0.000009803639,0.002002331,0.01092876,0.0002255741,0.0001740609,0.00002559666,0.0000286235,0.02346645],"genre_scores_gemma":[0.9963679,0.000008950319,0.0001038004,0.001951982,0.00003020197,0.00002174387,0.00002076928,0.000007081061,0.001487565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3044837,"threshold_uncertainty_score":0.9722479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03909807507032036,"score_gpt":0.2974955261085988,"score_spread":0.2583974510382784,"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."}}