{"id":"W4214723559","doi":"10.5751/es-12999-270123","title":"An integrated climate-biodiversity framework to improve planning and policy: an application to wildlife crossings and landscape connectivity","year":2022,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Wildlife; Biodiversity; Environmental resource management; Geography; Landscape connectivity; Landscape planning; Wildlife corridor; Landscape ecology; Ecology; Environmental planning; Environmental science; Habitat; Biological dispersal; Biology; Sociology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0263301,0.002510752,0.002097668,0.008186551,0.004184298,0.008992692,0.00360267,0.005706067,0.01635111],"category_scores_gemma":[0.0276608,0.001281685,0.003105519,0.009796468,0.007521961,0.01106111,0.01062037,0.008487931,0.001717188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01592581,"about_ca_system_score_gemma":0.02173328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04290617,"about_ca_topic_score_gemma":0.09370969,"domain_scores_codex":[0.9900963,0.00707119,0.000439465,0.0006654483,0.001310527,0.0004171037],"domain_scores_gemma":[0.9842598,0.009499503,0.001046655,0.001007154,0.00264144,0.001545589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004537546,0.0002018312,0.001388894,0.0004908045,0.000166018,0.0001703888,0.0008667416,0.1000418,0.0001227568,0.7715684,0.03770428,0.08723284],"study_design_scores_gemma":[0.00007022984,0.00005988201,0.0007188814,0.0007340132,0.00007635448,0.00007770111,0.0009456283,0.04998378,0.0001148878,0.8805909,0.06655578,0.00007204142],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005956976,0.007145257,0.8114452,0.09067941,0.001375481,0.000748925,0.002059369,0.002044611,0.07854488],"genre_scores_gemma":[0.1055274,0.004711309,0.882357,0.002789155,0.0003395046,0.000970208,0.0008378701,0.0002342464,0.002233171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04290617,"threshold_uncertainty_score":0.1392485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00667730321559694,"score_gpt":0.2450408301836787,"score_spread":0.2383635269680817,"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."}}