{"id":"W4413102003","doi":"10.1111/1755-0998.70031","title":"The CODEX Approach: High‐Throughput Sequencing of the Cox ‐1 Barcode Fragment in Neogastropods (Mollusca, Gastropoda)","year":2025,"lang":"en","type":"article","venue":"Molecular Ecology Resources","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"H2020 European Research Council","keywords":"Barcode; Biology; Sanger sequencing; DNA barcoding; DNA sequencing; Computational biology; Massive parallel sequencing; Evolutionary biology; DNA; Genetics; Computer science","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":[0.001475217,0.000993105,0.0006752708,0.001628029,0.00106418,0.001602031,0.0008926356,0.001100286,0.002920717],"category_scores_gemma":[0.003760664,0.0005193977,0.0009957398,0.001230232,0.0009709746,0.0009119944,0.001683299,0.001677424,0.003158345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006641583,"about_ca_system_score_gemma":0.002246448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003651293,"about_ca_topic_score_gemma":0.006513736,"domain_scores_codex":[0.9982579,0.0002709964,0.00007670964,0.0005288447,0.0007415921,0.0001238396],"domain_scores_gemma":[0.9981743,0.0005328492,0.0004342192,0.0002604115,0.0004562878,0.0001418432],"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":[0.0006758113,0.0001699733,0.01188864,0.001677644,0.0002538635,0.0006260807,0.001249298,0.003215445,0.7095524,0.004478617,0.02289047,0.2433218],"study_design_scores_gemma":[0.0001212064,0.0009039068,0.03934207,0.0003518181,0.0002255992,0.002545678,0.0003500827,0.04215058,0.8013745,0.002321625,0.1100276,0.0002852554],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2499471,0.003549926,0.697212,0.001023524,0.0006218678,0.001730456,0.01741102,0.01402842,0.0144757],"genre_scores_gemma":[0.3354875,0.002305006,0.6060711,0.001195173,0.000234598,0.002116006,0.03577358,0.003317644,0.01349928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003651293,"threshold_uncertainty_score":0.009770751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007105467882900518,"score_gpt":0.2096145937282108,"score_spread":0.2025091258453103,"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."}}