{"id":"W7081199004","doi":"10.60825/y31a-zy54","title":"Documentation of an effective method for undertaking molecular genomics in a mollusc: DNA extraction, microsatellite analysis, RAD-seq, and whole genome sequencing in the Horse mussel (Modiolus modiolus)","year":2025,"lang":"en","type":"report","venue":"Fisheries and Oceans Canada / Pêches et Océans Canada - Publications","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Genomics; DNA sequencing; Molecular ecology; Microsatellite; Genome; Whole genome sequencing; Biodiversity; Biorepository; genomic 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":[0.001748554,0.000854747,0.0004294493,0.001348484,0.0007420088,0.0008741582,0.0007379347,0.000966233,0.002179199],"category_scores_gemma":[0.001894288,0.000506125,0.0004573333,0.0008017553,0.0005284313,0.0005792883,0.0007840515,0.001217311,0.003282423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003078434,"about_ca_system_score_gemma":0.001214093,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001324365,"about_ca_topic_score_gemma":0.004324043,"domain_scores_codex":[0.9988967,0.0001998015,0.0001699459,0.0002319611,0.0004298756,0.00007164552],"domain_scores_gemma":[0.9986219,0.0002681534,0.0002417535,0.0002461798,0.0005174809,0.0001044489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000563693,0.00005492504,0.002056608,0.0004745814,0.00001987797,0.00025489,0.0002352684,0.0005923465,0.9705103,0.0006010016,0.002710993,0.02243286],"study_design_scores_gemma":[0.000015513,0.0002669845,0.01265648,0.0003023019,0.00006738901,0.0009983733,0.0002071596,0.003564339,0.9266901,0.0007037696,0.05446592,0.00006174198],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3179274,0.005368169,0.6268331,0.003632318,0.000870398,0.001960554,0.02128465,0.01019406,0.01192936],"genre_scores_gemma":[0.1395552,0.00449436,0.8239209,0.001144428,0.0001214354,0.001968282,0.01769171,0.00128095,0.009822718],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9986756,"threshold_uncertainty_score":0.009247303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01772978932494257,"score_gpt":0.2744294917016813,"score_spread":0.2566997023767387,"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."}}