{"id":"W6962570346","doi":"10.15468/y4grdu","title":"DFO Arctic Region Biodiversity of the Benthic Infauna Box Core Survey from CBS-MEA program (2021-2024)","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Arctic; Benthic zone; Beaufort scale; Habitat; Biodiversity; Beaufort sea; Ecosystem; Marine conservation; Invertebrate","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":[0.00112412,0.000659862,0.0004260653,0.003256231,0.00131954,0.0009586557,0.0009920794,0.000267801,0.007357017],"category_scores_gemma":[0.001599245,0.0003204647,0.0004404112,0.00506385,0.0001242404,0.0003003113,0.0009705025,0.0003950131,0.003189628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005607845,"about_ca_system_score_gemma":0.01346366,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.937787,"about_ca_topic_score_gemma":0.9635499,"domain_scores_codex":[0.9992637,0.00005459775,0.00003479783,0.0001178566,0.0003715222,0.0001575534],"domain_scores_gemma":[0.9976171,0.00005405055,0.0002090095,0.0001125549,0.001621571,0.0003858163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004082966,0.00009181011,0.4448119,0.0006338345,0.0002900471,0.0001772485,0.0007555995,0.001094178,0.001321931,0.001279125,0.4842582,0.06487779],"study_design_scores_gemma":[0.00003331366,0.00002873124,0.7770742,0.0001838765,0.00005269632,0.00004638971,0.0005509421,0.0006172039,0.0005130979,0.0001072545,0.2207722,0.00002017599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05026266,0.0008115869,0.0006951126,0.0002193635,0.0001005301,0.0001597416,0.9331774,0.0001562065,0.01441724],"genre_scores_gemma":[0.07614258,0.0007697064,0.005019791,0.0001738502,0.00003294594,0.0005240316,0.8936628,0.0001095431,0.02356475],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.937787,"threshold_uncertainty_score":0.1251587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02885278707608591,"score_gpt":0.245231576270763,"score_spread":0.2163787891946771,"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."}}