{"id":"W7116833778","doi":"10.60825/hm08-sy31","title":"Using BIIGLE as a collaborative identification tool for fisheries captures: an example from the benthic epifauna trawl surveys of the Canadian Beaufort Sea Marine Ecosystem Assessment (2021 to 2024)","year":2025,"lang":"en","type":"report","venue":"Fisheries and Oceans Canada / Pêches et Océans Canada - Publications","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Identification (biology); Biodiversity; Benthic zone; Taxonomic rank; Taxon; Invertebrate; Marine ecosystem; Fish <Actinopterygii>","routes":{"ca_aff":true,"ca_fund":false,"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":[0.013707,0.001131491,0.0005656489,0.005896372,0.002319811,0.002966452,0.002064084,0.001065125,0.003788921],"category_scores_gemma":[0.02105161,0.0005163737,0.0008625276,0.005027457,0.0007508558,0.002694301,0.004387176,0.001314803,0.003225482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003793371,"about_ca_system_score_gemma":0.007617957,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3621508,"about_ca_topic_score_gemma":0.5153412,"domain_scores_codex":[0.9936647,0.00156158,0.0003792472,0.001285136,0.002603612,0.0005056388],"domain_scores_gemma":[0.9740931,0.006000113,0.0008754362,0.005220641,0.01260053,0.001210239],"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":[0.0006603875,0.0003065596,0.09575915,0.001966151,0.0002720146,0.001509248,0.02437205,0.006436139,0.01874972,0.003188557,0.138888,0.7078921],"study_design_scores_gemma":[0.0001119656,0.0002661938,0.1963012,0.002026588,0.000292394,0.001021843,0.01674317,0.03263631,0.02439129,0.003457295,0.7221143,0.0006374158],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.3596058,0.003241134,0.421186,0.006989361,0.001025029,0.002786228,0.07881478,0.04921685,0.07713482],"genre_scores_gemma":[0.1993093,0.001118566,0.7189655,0.0008412927,0.00009744202,0.001052083,0.05953323,0.004735917,0.01434679],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6378492,"threshold_uncertainty_score":0.7200857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05697353580857346,"score_gpt":0.2936040457290504,"score_spread":0.2366305099204769,"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."}}