{"id":"W2167937222","doi":"10.1111/j.1755-0998.2011.03034.x","title":"DNA barcoding of Canada’s skates","year":2011,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Ichthyology and Marine Biology","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada; Huntsman Marine Science Centre; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"DNA barcoding; Biology; Sympatric speciation; Skate; Evolutionary biology; Identification (biology); Species identification; Genus; Zoology; Ecology","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":[0.0003695058,0.0002733128,0.000243709,0.005108758,0.002279391,0.000914212,0.0007137977,0.0003473976,0.001562407],"category_scores_gemma":[0.001605958,0.0001291827,0.0002646612,0.003869154,0.0008920715,0.0002997064,0.0007206969,0.0003860969,0.0005229586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007812421,"about_ca_system_score_gemma":0.0138587,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9205495,"about_ca_topic_score_gemma":0.9695845,"domain_scores_codex":[0.9992693,0.00003040214,0.00003052375,0.0001206171,0.0003949725,0.000154202],"domain_scores_gemma":[0.9986022,0.00008240105,0.0001669939,0.00007537541,0.000975917,0.00009715145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004247694,0.00004467019,0.3732879,0.0008019363,0.0001068339,0.001871731,0.0122906,0.003356687,0.2357426,0.005685542,0.01099767,0.3553891],"study_design_scores_gemma":[0.000008094117,0.00006877119,0.8493083,0.0002839174,0.00007423972,0.0008448758,0.006170318,0.003564358,0.03285992,0.0006680841,0.1060866,0.00006265775],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9409234,0.002241022,0.01655854,0.0006560026,0.0001538326,0.0003270987,0.01476877,0.000252691,0.02411866],"genre_scores_gemma":[0.9468458,0.001302179,0.03043489,0.0002627903,0.00002054532,0.000127058,0.008814872,0.00005813476,0.01213367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07945049,"threshold_uncertainty_score":0.1598367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006359762971940608,"score_gpt":0.1767162082112185,"score_spread":0.1703564452392779,"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."}}