{"id":"W2883764663","doi":"10.1016/j.ecolmodel.2018.07.001","title":"Mapping invasion potential using ensemble modelling. A case study on Yushania maling in the Darjeeling Himalayas","year":2018,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Habitat; Environmental niche modelling; Biodiversity; Ecology; Predictive modelling; Data deficient; Environmental science; Biology; Ecological niche; Computer science; Threatened species; Machine learning","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":[0.000652867,0.0003840624,0.0002629133,0.0006669451,0.0004344851,0.0007027161,0.0004261331,0.000411893,0.0005716986],"category_scores_gemma":[0.00130004,0.0001574687,0.0003755949,0.001075321,0.0001697464,0.0005958033,0.0005318941,0.0004229008,0.00008457441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000592368,"about_ca_system_score_gemma":0.0004349432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05943444,"about_ca_topic_score_gemma":0.09327803,"domain_scores_codex":[0.9998721,0.00006509289,0.000005507052,0.00001737109,0.00001288421,0.00002708302],"domain_scores_gemma":[0.9993089,0.0004287242,0.00006231522,0.00007230071,0.00008751934,0.00004016523],"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":[0.0002078725,0.000220337,0.2348075,0.00009314889,0.0002688332,0.0008778672,0.001353487,0.7105093,0.003781372,0.001726199,0.000843438,0.04531074],"study_design_scores_gemma":[0.00001322411,0.00004524484,0.05577053,0.00001147082,0.00006674349,0.0000969148,0.0006479409,0.9416591,0.0006060804,0.0006120072,0.0004545764,0.00001620635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968092,0.00007476284,0.00223087,0.00006727004,0.000003291649,0.000005947063,0.0001262738,0.00003404797,0.0006483255],"genre_scores_gemma":[0.9970827,0.00006842001,0.002559512,0.000004464826,0.00000162977,0.000005115454,0.0001249563,0.000003926286,0.000149277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05943444,"threshold_uncertainty_score":0.118177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1541518318794116,"score_gpt":0.2944958008670902,"score_spread":0.1403439689876786,"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."}}