{"id":"W4353017186","doi":"10.1007/s10142-023-01013-3","title":"Pilot study of a comprehensive resource estimation method from environmental DNA using universal D-loop amplification primers","year":2023,"lang":"en","type":"article","venue":"Functional & Integrative Genomics","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; University of Tokyo","keywords":"Biology; Nanopore sequencing; Computational biology; Haplotype; DNA sequencing; Mitochondrial DNA; Genome; Genetics; Gene; Genotype","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001607493,0.0002502934,0.0002508901,0.000102134,0.0003601736,0.00001558329,0.0002122134,0.00004159462,0.000694103],"category_scores_gemma":[0.00002342541,0.000248962,0.000068554,0.0002973787,0.0003662561,0.0002093664,0.0004453375,0.0001790001,0.0006070935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001212347,"about_ca_system_score_gemma":0.000008962218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001550065,"about_ca_topic_score_gemma":0.00007425286,"domain_scores_codex":[0.9982603,0.0002062335,0.000305301,0.0005379518,0.0004712953,0.000218933],"domain_scores_gemma":[0.9991004,0.0003068609,0.0002531808,0.0002568866,0.00000959818,0.00007300053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005789867,0.001022151,0.1429199,0.00000431792,0.0003606604,0.00000680354,0.007171669,0.1601266,0.683253,0.00004611141,0.002492701,0.0020171],"study_design_scores_gemma":[0.001067285,0.001070702,0.9079034,0.00001150949,0.0001575388,0.00000274867,0.05805754,0.02090139,0.008981562,0.0001960899,0.001323607,0.000326583],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987989,0.00001703437,0.01061879,0.00003520922,0.0001731907,0.0005484663,0.0002793416,0.00005045782,0.0002884914],"genre_scores_gemma":[0.9723228,0.00001818147,0.0266975,0.0000669852,0.00003458827,0.00001537118,0.0004538442,0.00002194005,0.0003687479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7649835,"threshold_uncertainty_score":0.9999962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05959332225314292,"score_gpt":0.2662182329459461,"score_spread":0.2066249106928032,"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."}}