{"id":"W2398444803","doi":"10.1002/ece3.2154","title":"Using simulations to evaluate Mantel‐based methods for assessing landscape resistance to gene flow","year":2016,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Wildlife-Road Interactions and Conservation","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Montana","keywords":"Resistance (ecology); Computer science; Gene flow; Landscape connectivity; Ecology; Gene; Biology; Biological dispersal; Genetics; Genetic variation; Medicine; Population; Environmental health","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":[0.009349776,0.001208119,0.0008677334,0.001747169,0.0006366849,0.001341861,0.00133736,0.001595156,0.001700454],"category_scores_gemma":[0.04225988,0.0004307757,0.0008612637,0.001290664,0.0008298553,0.001643374,0.0009349755,0.001615676,0.0002624422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001616207,"about_ca_system_score_gemma":0.001339224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01315945,"about_ca_topic_score_gemma":0.01013457,"domain_scores_codex":[0.9978695,0.001386094,0.000138117,0.0002365474,0.000256327,0.0001133789],"domain_scores_gemma":[0.9455361,0.04797915,0.001937885,0.001838898,0.002213237,0.0004946936],"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":[0.0001670405,0.000113527,0.01125226,0.00008342833,0.000146153,0.00003598063,0.0001171285,0.9721465,0.000501775,0.00690146,0.0006146498,0.007920192],"study_design_scores_gemma":[0.00002811761,0.00007748773,0.0004848145,0.00001827435,0.00001820184,0.000009974966,0.00003146454,0.9961511,0.0004159543,0.002377756,0.0003735546,0.00001334755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7565678,0.0008728676,0.2267901,0.0009050379,0.0002204953,0.0004195783,0.001261933,0.001705354,0.01125681],"genre_scores_gemma":[0.8945606,0.0002251736,0.1027072,0.0001968297,0.00003254925,0.0005519109,0.0008105512,0.0002015733,0.0007136456],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01315945,"threshold_uncertainty_score":0.04944694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0470383198343571,"score_gpt":0.3722504895476955,"score_spread":0.3252121697133384,"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."}}