{"id":"W4284994611","doi":"10.1111/1365-2664.14251","title":"A comparison of approaches for including connectivity in systematic conservation planning","year":2022,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Nature Conservancy of Canada; Environment and Climate Change Canada; Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; Nature Conservancy of Canada","keywords":"Prioritization; Representation (politics); Mathematics; Management science; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02268464,0.0008392148,0.0005374674,0.00543614,0.00102211,0.002609183,0.00131902,0.0007817108,0.003009112],"category_scores_gemma":[0.04650501,0.0004884059,0.001146401,0.004165568,0.002319713,0.003096085,0.003726285,0.001277817,0.0001322182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007887296,"about_ca_system_score_gemma":0.005133873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01132937,"about_ca_topic_score_gemma":0.02143687,"domain_scores_codex":[0.9726986,0.02003588,0.0009258585,0.001288594,0.004452085,0.0005990178],"domain_scores_gemma":[0.9422537,0.04778652,0.003387345,0.002435036,0.003353869,0.0007833829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001758819,0.0009725163,0.05824071,0.002439245,0.001539013,0.0001181272,0.006201663,0.2470894,0.002773677,0.1258476,0.002682135,0.5503371],"study_design_scores_gemma":[0.001280026,0.004445333,0.130226,0.001619943,0.001632492,0.0002333519,0.01050926,0.6609898,0.004978784,0.1611318,0.02260725,0.0003459677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7203674,0.002777812,0.2028504,0.001898727,0.0001162686,0.002670043,0.0006426456,0.0004013328,0.06827534],"genre_scores_gemma":[0.8171718,0.0003938992,0.1809907,0.00009206635,0.00001180217,0.0006643552,0.0001942933,0.00003786887,0.0004432062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02268464,"threshold_uncertainty_score":0.1199693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09985640150463303,"score_gpt":0.320690065832106,"score_spread":0.2208336643274729,"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."}}