{"id":"W3127464375","doi":"10.1002/bmb.21492","title":"DNA barcoding: A different perspective to introducing undergraduate students to DNA sequence analysis","year":2021,"lang":"en","type":"article","venue":"Biochemistry and Molecular Biology Education","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"DNA barcoding; GenBank; DNA sequencing; Context (archaeology); DNA; Biology; Computational biology; Gene; Mitochondrial DNA; Polymerase chain reaction; Molecular biology; Genetics; Evolutionary biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001360507,0.0002826033,0.0002745886,0.00009551858,0.0002775898,0.00006191884,0.0003304226,0.0001394566,0.00003352098],"category_scores_gemma":[0.0006115653,0.0002934134,0.00011234,0.0006628057,0.0002408163,0.0000511143,0.0008884362,0.0001398276,0.00009742295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006273412,"about_ca_system_score_gemma":0.00002659859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000132328,"about_ca_topic_score_gemma":0.00002060563,"domain_scores_codex":[0.9979882,0.0001034064,0.0002017249,0.001065413,0.0002493779,0.0003918414],"domain_scores_gemma":[0.9990543,0.00008464035,0.00009266407,0.0004387342,0.00003585725,0.0002938187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001574872,0.000201886,0.2714126,0.000009453,0.0002189541,0.00000606411,0.00109278,0.00004683898,0.7248803,0.00005368023,0.001885697,0.0001901307],"study_design_scores_gemma":[0.0001484669,0.00007591437,0.2014962,0.00001777893,0.0002732238,0.00001029512,0.007432262,0.000005810765,0.7877062,0.0003562364,0.002372856,0.0001047858],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952499,0.0003590515,0.0008923423,0.001761423,0.0001574152,0.0002387888,0.00004000654,0.0000280433,0.001272986],"genre_scores_gemma":[0.9934863,0.0001368091,0.00263652,0.001361452,0.00005974768,0.00005422412,0.0001405,0.00001155789,0.002112828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06991642,"threshold_uncertainty_score":0.9999518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009330704415134897,"score_gpt":0.2740381453827357,"score_spread":0.2647074409676008,"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."}}