{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000279702,0.0001326914,0.0002014459,0.00006569386,0.00007597455,0.00004720011,0.0001584167,0.00002917693,0.00007988408],"category_scores_gemma":[0.00001690527,0.0001233062,0.00008191355,0.0001153875,0.00003176311,0.00045317,0.00009147295,0.0001636052,0.000005923137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000512631,"about_ca_system_score_gemma":0.00003067992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002437032,"about_ca_topic_score_gemma":0.00473539,"domain_scores_codex":[0.9986589,0.00003785297,0.0006274073,0.00009258642,0.0003731796,0.0002100753],"domain_scores_gemma":[0.9994382,0.00005795693,0.0002430369,0.0001415,0.000006055297,0.0001132321],"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":[0.00009201925,0.0002941354,0.1489,0.00003197921,0.00005427138,0.00001188384,0.00180799,0.8299621,0.01283866,0.00003023829,0.0052142,0.0007625756],"study_design_scores_gemma":[0.004805079,0.0003877906,0.3053333,0.0002656797,0.0001463775,0.0003866937,0.0127966,0.6596362,0.003262995,0.0004317505,0.01138876,0.001158738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560043,0.000009428382,0.04144192,0.00180564,0.0001271725,0.0001900677,0.00002403103,0.000002466675,0.0003949908],"genre_scores_gemma":[0.9730819,0.00001383499,0.007582117,0.01923288,0.00002928281,0.00001386138,0.00001573992,0.000009960566,0.00002045259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1703259,"threshold_uncertainty_score":0.502828,"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."}}