{"id":"W6901440251","doi":"10.60521/331741","title":"Processed CTD data acquired near-bottom in 2022 from the continental slope of the Canadian Beaufort Sea with the MBARI mapping AUV on Arctic Ocean missions 20220830m1 and 20220906m2","year":2024,"lang":"en","type":"dataset","venue":"Marine Geoscience Data System (MGDS) - Lamont-Doherty Earth Observatory (LDEO)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beaufort sea; CTD; Cruise; Arctic; Geological survey; Continental shelf; Data set; Sea ice","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000473087,0.002460354,0.0008784165,0.003865846,0.001587368,0.001836193,0.002754615,0.001411341,0.01998757],"category_scores_gemma":[0.001700089,0.0006134745,0.001077566,0.007594964,0.0006270452,0.0006182434,0.001362,0.00132034,0.02322091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005462393,"about_ca_system_score_gemma":0.01062406,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.824582,"about_ca_topic_score_gemma":0.9168145,"domain_scores_codex":[0.9992189,0.00003232759,0.00003281539,0.0001615147,0.0003313238,0.0002230068],"domain_scores_gemma":[0.9988393,0.00006569904,0.00005625504,0.000178387,0.0007274128,0.0001330696],"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":[0.0001177505,0.00005372212,0.004996579,0.0003162173,0.00008576972,0.0001011643,0.00008110212,0.001868198,0.0005532618,0.0004526495,0.9844968,0.006876861],"study_design_scores_gemma":[0.0001462009,0.00001921246,0.04867757,0.0002831895,0.00007065189,0.0001265883,0.0004021867,0.003176765,0.002077209,0.0007285922,0.9441907,0.000101165],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009275528,0.00005880999,0.000133253,0.00003827336,0.00002212763,0.00001874403,0.9971192,0.0004891511,0.001192929],"genre_scores_gemma":[0.001236917,0.00002820274,0.0003742324,0.00001261177,0.000002845712,0.00002627807,0.997575,0.0000509249,0.000693093],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.175418,"threshold_uncertainty_score":0.3529022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04348961349804174,"score_gpt":0.2425460056509333,"score_spread":0.1990563921528916,"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."}}