{"id":"W1969888541","doi":"10.1111/j.1755-0998.2009.02629.x","title":"The front‐end logistics of DNA barcoding: challenges and prospects","year":2009,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Genome Canada; Ontario Genomics; Ontario Innovation Trust; Ontario Genomics Institute; Gordon and Betty Moore Foundation","keywords":"DNA barcoding; Bottleneck; Biology; Interfacing; Task (project management); Barcode; Data science; Computational biology; Evolutionary biology; Computer science; Engineering; Systems engineering; Operations management","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":[0.02045265,0.001430823,0.0009045873,0.001303051,0.003312058,0.007651926,0.004808655,0.005077211,0.01216639],"category_scores_gemma":[0.01157561,0.0007595193,0.0007806813,0.00261985,0.003859356,0.01337176,0.003380924,0.004538886,0.007632152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002429641,"about_ca_system_score_gemma":0.01097411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008859347,"about_ca_topic_score_gemma":0.01062065,"domain_scores_codex":[0.9949486,0.001545657,0.0002838239,0.000527687,0.001949863,0.0007443257],"domain_scores_gemma":[0.9796382,0.006790351,0.001483633,0.0009527995,0.007828529,0.003306668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007633743,0.0007575817,0.01343817,0.002287213,0.00004693267,0.001068103,0.001097691,0.01127601,0.0120015,0.03448952,0.06731813,0.8554558],"study_design_scores_gemma":[0.0002023293,0.002049844,0.02175184,0.00297051,0.0001549045,0.006472708,0.01625576,0.04873657,0.02660141,0.1769837,0.6971243,0.0006961312],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08674475,0.09763572,0.3647431,0.3875491,0.004514254,0.000799848,0.001162374,0.002007376,0.05484345],"genre_scores_gemma":[0.2595916,0.1040821,0.5763316,0.01905346,0.004701952,0.001145625,0.00248481,0.0005399935,0.03206892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02045265,"threshold_uncertainty_score":0.1081653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01254208702632552,"score_gpt":0.2013290573919939,"score_spread":0.1887869703656684,"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."}}