{"id":"W2970981451","doi":"10.1080/26395916.2019.1649726","title":"Planning for ecological connectivity across scales of governance in a multifunctional regional landscape","year":2019,"lang":"en","type":"article","venue":"Ecosystems and People","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental resource management; Wildlife; Stakeholder; Corporate governance; Geography; Endangered species; Landscape assessment; Environmental planning; Landscape planning; Landscape ecology; Scale (ratio); Wildlife corridor; Environmental governance; Ecology; Stakeholder engagement; Landscape connectivity; Business; Political science; Landscape design; Environmental science; Habitat; Sociology; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001918302,0.00005313592,0.0001205513,0.00000768654,0.00005133614,0.00001188895,0.00003919518,0.00004324514,0.000479424],"category_scores_gemma":[0.00002798865,0.00004538826,0.00002863142,0.00006263948,0.00001497092,0.00014029,0.00003007542,0.00004389224,0.00002297012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003426937,"about_ca_system_score_gemma":0.000005160881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009546939,"about_ca_topic_score_gemma":0.01099769,"domain_scores_codex":[0.9994998,0.00001863083,0.0001412328,0.0001578265,0.00007864811,0.0001038359],"domain_scores_gemma":[0.9996261,0.0001979367,0.00008629564,0.00006147121,0.000007704497,0.00002048698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005328421,0.00005034542,0.9956789,0.00002009385,0.000003242048,1.938123e-7,0.0002521985,0.001104156,0.0006290933,0.00021667,0.001684708,0.0003070878],"study_design_scores_gemma":[0.0004462258,0.000070454,0.9566471,0.00002736968,9.952695e-7,0.000007600262,0.0002961184,0.03229078,0.0000280351,0.00006494401,0.01006214,0.00005821443],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986444,0.00003732531,0.0001062026,0.0001906927,0.0001572831,0.0001978276,0.00004059824,0.000005931235,0.0006197026],"genre_scores_gemma":[0.9994698,0.000004577548,0.0001011954,0.00005035561,0.00002867598,0.00004003919,0.00001103993,0.000003063094,0.0002913188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0390318,"threshold_uncertainty_score":0.6136969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01410638909777362,"score_gpt":0.2513238053360561,"score_spread":0.2372174162382825,"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."}}