{"id":"W1981291277","doi":"10.4039/tce.2014.26","title":"History of the northern silvery blue (<i>Glaucopsyche lygdamus couperi</i>) (Lepidoptera: Lycaenidae) in southern Ontario, Canada: separating range expansion from original populations and other subspecies","year":2014,"lang":"en","type":"article","venue":"The Canadian Entomologist","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Food Inspection Agency; Agriculture and Agri-Food Canada; Northern Ontario Academic Medicine Association","funders":"Agriculture and Agri-Food Canada","keywords":"Lycaenidae; Subspecies; Range (aeronautics); Geography; Peninsula; Lepidoptera genitalia; Population; Woodland; Ecology; Archaeology; Biology; Demography","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":[0.0001480465,0.0001425977,0.0001822545,0.001113829,0.001331587,0.0006118197,0.0003974273,0.0001735577,0.001311908],"category_scores_gemma":[0.0003690384,0.0001285886,0.0001424009,0.001839207,0.0004949424,0.0001970758,0.0004192976,0.0001941907,0.0001629184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009878628,"about_ca_system_score_gemma":0.00841291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9866928,"about_ca_topic_score_gemma":0.9972747,"domain_scores_codex":[0.9998593,0.000006084053,0.000006192156,0.0000361436,0.00004484245,0.00004742643],"domain_scores_gemma":[0.9994949,0.00002578294,0.0001242596,0.00001309488,0.0002293749,0.0001125712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006793443,0.00001328267,0.9793127,0.0001225791,0.00003662468,0.0002769316,0.00478741,0.0001432183,0.003246102,0.0001637516,0.001267823,0.01056173],"study_design_scores_gemma":[0.000001388089,0.000007344505,0.9962533,0.00002148506,0.000007805787,0.00004315654,0.00127935,0.00005289844,0.00006973217,0.000007832498,0.002252651,0.000003044397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935076,0.0006591863,0.00008221516,0.00009038933,0.000003375666,0.0000184799,0.002868646,0.000006611698,0.002763509],"genre_scores_gemma":[0.996815,0.0004012324,0.0001492007,0.00004072041,0.00000137253,0.00001115246,0.001362867,0.000003133733,0.001215284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01330715,"threshold_uncertainty_score":0.07167476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04504287106612957,"score_gpt":0.1946181690730698,"score_spread":0.1495752980069402,"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."}}