{"id":"W4323642623","doi":"10.1071/is21022_co","title":"<i>Corrigendum to:</i> Extensive species diversification and marked geographic phylogenetic structure in the Mesoamerican genus <i>Stenopelmatus</i> (Orthoptera: Stenopelmatidae: Stenopelmatinae) revealed by mitochondrial and nuclear 3RAD data","year":2022,"lang":"en","type":"article","venue":"Invertebrate Systematics","topic":"Orthoptera Research and Taxonomy","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Zoology; Systematics; Phylogenetic tree; Genus; Subfamily; Phylogeography; Evolutionary biology; Taxonomy (biology); Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006328479,0.00032739,0.0005230022,0.00007078204,0.0007495281,0.0003743502,0.001117555,0.00007520219,0.0001625323],"category_scores_gemma":[0.0001191062,0.0001489089,0.0000538961,0.000814593,0.0001728124,0.0002470538,0.001012193,0.000369007,0.00001281208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003874504,"about_ca_system_score_gemma":0.00002137515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000515182,"about_ca_topic_score_gemma":0.0005369859,"domain_scores_codex":[0.9962599,0.001140092,0.0006284034,0.0007245156,0.0007273821,0.0005196494],"domain_scores_gemma":[0.9986141,0.0002265227,0.0003352923,0.00050171,0.0001038574,0.0002184936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001106239,0.001166594,0.3601118,0.002973867,0.0008323271,0.0004932301,0.01680809,0.00005853068,0.2607553,0.00233694,0.2201477,0.1332094],"study_design_scores_gemma":[0.003608623,0.003313165,0.4107535,0.0006282369,0.0004219277,0.0007623927,0.1055184,0.0102131,0.000194324,0.000525844,0.4611669,0.002893653],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921147,0.000958271,0.000006592496,0.001767223,0.0002925321,0.002360917,0.001779479,0.00003702579,0.000683284],"genre_scores_gemma":[0.9968845,0.0001888801,0.0004447937,0.001456853,0.0001207114,0.000100875,0.0003524817,0.000006710123,0.000444158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.260561,"threshold_uncertainty_score":0.607233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02971885276688556,"score_gpt":0.2084774327918122,"score_spread":0.1787585800249266,"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."}}