{"id":"W4286542382","doi":"10.1139/facets-2022-0003","title":"Transformational changes for achieving the Post-2020 Global Biodiversity Framework ecological connectivity goals","year":2022,"lang":"en","type":"article","venue":"FACETS","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Northern British Columbia; Wildlife Conservation Society Canada; Dalhousie University; Wilfrid Laurier University","funders":"Environment and Climate Change Canada; Wilfrid Laurier University","keywords":"Convention on Biological Diversity; Transformative learning; Mainstreaming; Incentive; Business; Transformational leadership; Environmental resource management; Biodiversity; Corporate governance; Environmental planning; Political science; Public relations; Ecology; Economics; Geography; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0175894,0.0007812086,0.0003678253,0.001421402,0.004267288,0.0100321,0.002798979,0.00894169,0.008641637],"category_scores_gemma":[0.01603837,0.0003055883,0.001039606,0.00100517,0.008804453,0.006388684,0.01147837,0.009640256,0.001253496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007533346,"about_ca_system_score_gemma":0.03551855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01308856,"about_ca_topic_score_gemma":0.0185332,"domain_scores_codex":[0.990893,0.002699504,0.0003897582,0.000583793,0.002538711,0.002895206],"domain_scores_gemma":[0.9942245,0.001252994,0.0004486511,0.0005767778,0.001288913,0.002208249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003954309,0.0002295426,0.001427394,0.0002156896,0.00002133147,0.0003734182,0.003106029,0.00207477,0.001241544,0.8560686,0.07093065,0.06427152],"study_design_scores_gemma":[0.00002500659,0.0001205952,0.003468177,0.0004069771,0.00001822899,0.0002702425,0.005041363,0.001161836,0.0007433685,0.3129311,0.6757552,0.00005790312],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0377976,0.008535784,0.06049141,0.4924705,0.007905905,0.001045729,0.0008834861,0.0008745295,0.3899952],"genre_scores_gemma":[0.7163031,0.005172099,0.1216109,0.1267722,0.001368364,0.001258561,0.001296512,0.0002654167,0.02595295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0175894,"threshold_uncertainty_score":0.09302276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01559801067873086,"score_gpt":0.2175677653540467,"score_spread":0.2019697546753159,"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."}}