{"id":"W1990007704","doi":"10.1186/1472-6785-13-40","title":"The diversity and biogeography of the Coleoptera of Churchill: insights from DNA barcoding","year":2013,"lang":"en","type":"article","venue":"BMC Ecology","topic":"Coleoptera Taxonomy and Distribution","field":"Agricultural and Biological Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Museum of Nature; University of Manitoba; University of Guelph","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Ministero dello Sviluppo Economico; Churchill Northern Studies Centre; Ontario Ministry of Economic Development and Innovation; Aboriginal Affairs and Northern Development Canada; Government of Canada; Genome Canada; Ontario Genomics; University of Guelph; Ontario Genomics Institute","keywords":"Biodiversity; Biology; DNA barcoding; Ecology; Biogeography; Dytiscidae; Species richness; Species diversity; Taxon; Taxonomic rank; Habitat; Species complex; Phylogenetic tree","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005203031,0.00004837971,0.00008832695,0.00000457154,0.0005134743,0.0000095093,0.000176876,0.0000496265,0.00008399078],"category_scores_gemma":[0.00003319613,0.00001379234,0.00006051603,0.0001085451,0.0001982727,0.00004269278,0.0003828003,0.00003869757,0.000002080748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004773487,"about_ca_system_score_gemma":0.000003431955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002167889,"about_ca_topic_score_gemma":0.01298379,"domain_scores_codex":[0.9995685,0.00008303473,0.0001117903,0.0000978126,0.00004963949,0.00008925909],"domain_scores_gemma":[0.9993628,0.0004338434,0.00009449887,0.00004491166,0.00004002033,0.00002394249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009856671,0.00002082363,0.9893697,0.000001404682,0.000007177116,4.229855e-8,0.00005115794,2.856744e-7,0.003364518,0.0007580057,0.00003987007,0.006377196],"study_design_scores_gemma":[0.00008187944,0.00006495242,0.993823,0.000003515969,0.000007655583,2.802252e-7,0.000198264,0.00002028753,0.001908372,0.002440929,0.001417921,0.00003293435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998852,0.0001038992,0.000001769204,0.0003247251,0.00009146966,0.0001792761,0.00003102511,0.000005231494,0.0004106394],"genre_scores_gemma":[0.9998701,0.0000205781,0.00001129351,0.00005357436,0.00002569195,0.000007631642,0.000006819616,6.588154e-8,0.000004282862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0108159,"threshold_uncertainty_score":0.7245259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01543037691706198,"score_gpt":0.1752650741209641,"score_spread":0.1598346972039021,"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."}}