{"id":"W6927308210","doi":"10.26008/1912/bco-dmo.722472.3","title":"Dissolved and labile cobalt from the USCGC Healy HLY1502 in the Canada and Makarov Basins of the Arctic Ocean from August to October 2015 (U.S. GEOTRACES Arctic project)","year":2020,"lang":"en","type":"dataset","venue":"Open Access Server of the Woods Hole Scientific Community (Woods Hole Scientific Community)","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Ocean Sciences","keywords":"Geotraces; Arctic; The arctic; Cobalt; Arctic dipole anomaly; Canada Basin","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":[0.0006274165,0.001704602,0.001378855,0.002510897,0.0009671201,0.001544447,0.002378087,0.001792034,0.02436429],"category_scores_gemma":[0.002646474,0.0005009682,0.0009574636,0.006321693,0.000333267,0.0008301815,0.001443471,0.001259934,0.02770798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002968295,"about_ca_system_score_gemma":0.004986444,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.291653,"about_ca_topic_score_gemma":0.4314905,"domain_scores_codex":[0.9994338,0.00004832641,0.00005317178,0.0001669429,0.0001830284,0.0001147927],"domain_scores_gemma":[0.9985373,0.0001735741,0.0001709654,0.0002270088,0.0006362163,0.0002548872],"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":[0.0001531848,0.00001650748,0.002380997,0.0006389394,0.00004258682,0.00002634746,0.00001631653,0.0002903329,0.0002159779,0.0002641414,0.9942821,0.001672481],"study_design_scores_gemma":[0.0003213741,0.00002162926,0.01957641,0.0003371073,0.00006147817,0.00005160364,0.0001066693,0.0004285309,0.0006624109,0.000737916,0.9776546,0.00004023624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001981379,0.0000776151,0.00001784497,0.00003858051,0.0000130574,0.000003628348,0.9990958,0.00008572131,0.0004696473],"genre_scores_gemma":[0.0005013686,0.00006305487,0.0000908724,0.00003932961,0.000004832287,0.00001688208,0.99878,0.00002176711,0.0004818638],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.708347,"threshold_uncertainty_score":0.5799108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06655114059806999,"score_gpt":0.3303253675147861,"score_spread":0.2637742269167161,"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."}}