{"id":"W1563683875","doi":"10.1111/j.1752-4598.2011.00150.x","title":"Predicting the distributions of under‐recorded Odonata using species distribution models","year":2011,"lang":"en","type":"article","venue":"Insect Conservation and Diversity","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Akaike information criterion; Ecology; Population; Odonata; Species distribution; Geography; Statistics; Biology; Mathematics; Habitat; Demography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001854077,0.00008336086,0.00008875402,0.00001232075,0.0006674515,0.00001700378,0.0001426847,0.00004856165,0.004909783],"category_scores_gemma":[0.00004706238,0.00006937815,0.0000421984,0.0002187138,0.0003780435,0.0002926106,0.0004723197,0.00006903261,0.00001323133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001943318,"about_ca_system_score_gemma":0.00001029106,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007350703,"about_ca_topic_score_gemma":0.001033397,"domain_scores_codex":[0.9993385,0.00004896998,0.0001455209,0.0001504107,0.0001811196,0.0001354566],"domain_scores_gemma":[0.9996044,0.00004948566,0.0001152525,0.000140712,0.00003853254,0.00005164242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004815371,0.00007971506,0.9709701,0.000007813,0.00001538792,9.013123e-7,0.001104137,0.00003843636,0.00118433,0.02482111,0.001613678,0.0001162327],"study_design_scores_gemma":[0.0002492302,0.00002363108,0.9879577,0.00000617909,0.00003333147,0.000004442923,0.002802147,0.005138001,0.0008885993,0.002256987,0.0005501457,0.00008959211],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841462,0.00001727007,0.0084706,0.0002604025,0.00008006058,0.0001242785,0.0006391333,0.00003158052,0.006230481],"genre_scores_gemma":[0.9995093,0.00004330741,0.00005219743,0.0001632498,0.000006997419,0.000001591232,0.0001625693,0.000002326977,0.00005843737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02256412,"threshold_uncertainty_score":0.9992594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.187378820814956,"score_gpt":0.233766402689735,"score_spread":0.04638758187477904,"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."}}