{"id":"W2395136078","doi":"10.1139/gen-2015-0151","title":"Identifying pelagic fish eggs in the southeast Yucatan Peninsula using DNA barcodes","year":2016,"lang":"en","type":"article","venue":"Genome","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration","keywords":"Swordfish; Fishery; Biology; Tuna; Yellowfin tuna; Thunnus; Pelagic zone; Skipjack tuna; Scombridae; Coral reef fish; Perciformes; Zoology; Ecology; Coral reef; Fish <Actinopterygii>","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001283835,0.0001535772,0.00008375976,0.001206489,0.0002927553,0.0002196983,0.000138719,0.0001510061,0.0008377638],"category_scores_gemma":[0.0003359543,0.00008948884,0.0001007588,0.001073921,0.0001566214,0.0001454228,0.0002199158,0.0001029618,0.0001815088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003290918,"about_ca_system_score_gemma":0.0004266135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06784461,"about_ca_topic_score_gemma":0.174712,"domain_scores_codex":[0.9999239,0.000006936406,0.000009718187,0.00002160141,0.00002349319,0.00001428175],"domain_scores_gemma":[0.9997576,0.00002435488,0.0001126849,0.00001021517,0.00007283461,0.00002237233],"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":[0.00004790264,0.00002064023,0.9470091,0.00005618344,0.00002524619,0.000173523,0.0007465426,0.0001763432,0.02579023,0.00006362508,0.0002526873,0.02563796],"study_design_scores_gemma":[0.000001788526,0.00001265688,0.9959199,0.00001797945,0.000008571959,0.00008993645,0.0008203983,0.0006748,0.001493875,0.00002253024,0.000934162,0.000003468012],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981608,0.0001396839,0.0003328027,0.00001802443,0.000003265846,0.00001443598,0.0005257943,0.000008457051,0.0007967902],"genre_scores_gemma":[0.995666,0.0001912819,0.001944761,0.000037159,0.000002178622,0.00003188533,0.001219688,0.000004194628,0.0009028816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06784461,"threshold_uncertainty_score":0.1348994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04554502550690451,"score_gpt":0.3040490448773506,"score_spread":0.2585040193704461,"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."}}