{"id":"W3217046831","doi":"10.3808/jeil.202100057","title":"A Composite Graph Theoretic Approach to Modeling Landscape Connectivity for Wildlife Movement in Western Canada","year":2021,"lang":"en","type":"article","venue":"Journal of Environmental Informatics Letters","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"Alberta Parks","keywords":"Wildlife corridor; Wildlife; Landscape connectivity; Betweenness centrality; Geography; Habitat; Resource (disambiguation); Environmental resource management; Movement (music); Computer science; Shortest path problem; Ecology; Centrality; Graph; Biological dispersal; Environmental science; Mathematics; Population; Theoretical computer science; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000523235,0.0004522861,0.0003156797,0.001708383,0.001112766,0.00132938,0.001364407,0.0004529702,0.002258224],"category_scores_gemma":[0.001573956,0.00027338,0.0005093689,0.002010673,0.0008109292,0.000643401,0.0006238002,0.0004794368,0.0001299505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01205636,"about_ca_system_score_gemma":0.007736146,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9264596,"about_ca_topic_score_gemma":0.9318706,"domain_scores_codex":[0.9998232,0.00004003896,0.000006862203,0.00004685879,0.00003802224,0.00004501482],"domain_scores_gemma":[0.9996376,0.0001349951,0.00004605246,0.00001480843,0.0001231868,0.00004338648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002235267,0.00001758827,0.00954934,0.0000182385,0.00002426468,0.00007136149,0.0001088276,0.9726076,0.0002286738,0.01063771,0.0005904894,0.006123517],"study_design_scores_gemma":[0.000003397255,0.000005163978,0.002243714,0.000003237575,0.000008526448,0.000008684102,0.00006907283,0.9951481,0.00003031249,0.001837468,0.0006380044,0.000004210313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6762782,0.0005318766,0.2972068,0.0009480334,0.00003909345,0.0002263606,0.004071089,0.0006398273,0.02005865],"genre_scores_gemma":[0.9364407,0.0002768843,0.05646284,0.000034953,0.00001009903,0.0001043679,0.0007677164,0.00004394939,0.005858419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07354039,"threshold_uncertainty_score":0.1479469,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008528074874865035,"score_gpt":0.1966637702526399,"score_spread":0.1881356953777749,"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."}}