{"id":"W4307492607","doi":"10.1093/ee/nvac084","title":"Ground Validation Reveals Limited Applicability of Species Distribution Models for Dakota Skipper (<i>Hesperia dacotae</i>, Lepidoptera: Hesperiidae) Recovery Efforts in Canada","year":2022,"lang":"en","type":"article","venue":"Environmental Entomology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"University of Winnipeg","keywords":"Habitat; Endangered species; Environmental niche modelling; Ecology; Species distribution; Kappa; Grassland; Lepidoptera genitalia; Selection (genetic algorithm); Predictive modelling; Generalized linear model; Butterfly; Distribution (mathematics); Ecological niche; Biology; Statistics; Computer science; Mathematics; Machine learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002864138,0.0006511696,0.0003639313,0.0005338348,0.0006965535,0.0009939778,0.0008397391,0.0002035174,0.0007908168],"category_scores_gemma":[0.006302516,0.0002574702,0.0007144728,0.0005560343,0.0004523523,0.0005164248,0.0005222694,0.0004652494,0.0001917464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004729006,"about_ca_system_score_gemma":0.004691382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7650214,"about_ca_topic_score_gemma":0.8372335,"domain_scores_codex":[0.9992589,0.0002427371,0.00004427507,0.0002107396,0.0001513196,0.00009194004],"domain_scores_gemma":[0.9976614,0.001190437,0.0001878642,0.0001745565,0.0007015853,0.00008416386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002965513,0.00008646644,0.5000955,0.0001302834,0.0004069259,0.0001087855,0.0005909238,0.4108503,0.003569618,0.00114228,0.002245468,0.08047695],"study_design_scores_gemma":[0.00004040213,0.00009913529,0.2420384,0.00005743747,0.00008236063,0.00004210864,0.0005843862,0.7511691,0.00293056,0.0007625083,0.002156885,0.00003654968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874942,0.0001172824,0.009627183,0.0001148817,0.000005202276,0.00002472936,0.0006534678,0.0003800488,0.00158292],"genre_scores_gemma":[0.9900756,0.0000448339,0.008632068,0.00003172182,0.000001387249,0.00001404373,0.0008011669,0.00003886209,0.0003602635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2349786,"threshold_uncertainty_score":0.4727249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0180443789101192,"score_gpt":0.2112959858501106,"score_spread":0.1932516069399914,"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."}}