{"id":"W4392376446","doi":"10.31428/10317/10916","title":"Quantitative evaluation of bias in PCR amplification and Next Generation Sequencing derived from metabarcoding samples","year":2024,"lang":"en","type":"article","venue":"","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Comunidad Autónoma de la Región de Murcia","keywords":"Computational biology; DNA sequencing; Computer science; Biology; Genetics; DNA","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01472981,0.00141688,0.001315504,0.001879066,0.000665188,0.001439968,0.001291047,0.001204117,0.001480218],"category_scores_gemma":[0.02901153,0.0009233183,0.0006255619,0.002047386,0.001263019,0.0008270012,0.001041395,0.001237131,0.00076995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001020757,"about_ca_system_score_gemma":0.0008981773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009678847,"about_ca_topic_score_gemma":0.002801265,"domain_scores_codex":[0.9824936,0.005997617,0.00174291,0.003686646,0.005378672,0.0007005528],"domain_scores_gemma":[0.9811785,0.009414337,0.002602622,0.001814424,0.004754012,0.0002361477],"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":[0.0002403996,0.00006387554,0.006781233,0.0006051981,0.0001483601,0.00008000503,0.0004048301,0.0007478161,0.976229,0.0006373885,0.0001692286,0.01389265],"study_design_scores_gemma":[0.0000261713,0.0002581156,0.01971137,0.0000803186,0.000202598,0.0003243932,0.00009428595,0.01447784,0.9592825,0.0007913431,0.004685057,0.0000660038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3410647,0.003792922,0.6478702,0.0003066054,0.000353494,0.001045923,0.001606818,0.001592499,0.002366856],"genre_scores_gemma":[0.334946,0.001348038,0.6556978,0.0004380764,0.00006207559,0.001843368,0.002632895,0.0009069332,0.002124829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01472981,"threshold_uncertainty_score":0.07789963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3889860937843564,"score_gpt":0.3256546266028668,"score_spread":0.06333146718148969,"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."}}