{"id":"W2532985183","doi":"10.1139/gen-2015-0209","title":"Barcode-based species delimitation in the marine realm: a test using Hexanauplia (Multicrustacea: Thecostraca and Copepoda)","year":2016,"lang":"en","type":"article","venue":"Genome","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; University of Guelph","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"DNA barcoding; Biology; Evolutionary biology; Intraspecific competition; Cytochrome c oxidase subunit I; Ecology; Phylogenetic tree; Zoology; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.01609777,0.0007764769,0.0006644147,0.002928358,0.001244657,0.001951243,0.001578619,0.001207371,0.00149153],"category_scores_gemma":[0.03417701,0.0004061385,0.001104594,0.00205596,0.001715331,0.002214503,0.002234156,0.00124554,0.0007644005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005884371,"about_ca_system_score_gemma":0.0008075202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003346992,"about_ca_topic_score_gemma":0.00426665,"domain_scores_codex":[0.9846355,0.005642784,0.001722094,0.003728635,0.003609244,0.0006617741],"domain_scores_gemma":[0.9647052,0.02135751,0.005362039,0.002832103,0.004562153,0.001180981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002477105,0.0003507756,0.8316371,0.0007873912,0.00219945,0.0006741346,0.003689964,0.004053724,0.08403651,0.002714168,0.0007020813,0.06667766],"study_design_scores_gemma":[0.0001161809,0.003345903,0.7411893,0.0003193047,0.001159657,0.002154847,0.004256019,0.1710984,0.0689185,0.003129041,0.004119992,0.0001928972],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608673,0.0007859095,0.03369742,0.0002057549,0.00009741684,0.0001378005,0.0003039767,0.0001737438,0.003730668],"genre_scores_gemma":[0.9771032,0.0001378402,0.02168435,0.00007316963,0.00002135675,0.00005810715,0.0004032899,0.00004554172,0.000473226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01609777,"threshold_uncertainty_score":0.08513415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04368869881760605,"score_gpt":0.2446294481431449,"score_spread":0.2009407493255389,"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."}}