{"id":"W2053737986","doi":"10.1007/s10531-012-0382-3","title":"Spatial graphs as templates for habitat networks in boreal landscapes","year":2012,"lang":"en","type":"article","venue":"Biodiversity and Conservation","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Academy of Finland","keywords":"Computer science; Landscape connectivity; Node (physics); Spatial network; Habitat; Boreal; Ecology; Geography; Biodiversity; Network topology; Spatial ecology; Biological dispersal; Mathematics; Biology; Combinatorics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001179709,0.00059211,0.0005415105,0.001915987,0.0008372822,0.002878128,0.001371749,0.001097741,0.006131914],"category_scores_gemma":[0.009008927,0.0009168792,0.001262693,0.00237211,0.00108427,0.00530273,0.001595701,0.001301801,0.001435963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030304,"about_ca_system_score_gemma":0.0008758557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007577156,"about_ca_topic_score_gemma":0.01377586,"domain_scores_codex":[0.9990315,0.0003259913,0.0001222709,0.0002931386,0.0001512801,0.00007575554],"domain_scores_gemma":[0.9947537,0.002820345,0.0005286224,0.001374993,0.0003008916,0.0002214167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001256216,0.0000812842,0.006757412,0.0003253797,0.00007396622,0.0005277396,0.002222275,0.1117537,0.002010124,0.7996635,0.01262576,0.06383331],"study_design_scores_gemma":[0.0000244719,0.0000156094,0.001011546,0.0001069133,0.00005151386,0.0003036321,0.000454473,0.2499839,0.001168228,0.7109572,0.03589895,0.00002346472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07537501,0.0006487601,0.8947753,0.0008007128,0.0001173274,0.0002280756,0.01148916,0.00335306,0.01321262],"genre_scores_gemma":[0.4800956,0.0009329633,0.4941334,0.0001756678,0.00006126629,0.000488264,0.01734143,0.001221013,0.005550479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007577156,"threshold_uncertainty_score":0.0205133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01359234404722239,"score_gpt":0.2093659993309616,"score_spread":0.1957736552837392,"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."}}