{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity"],"consensus_categories":["sts","open_science"],"category_scores_codex":[0.009013257,0.0008655891,0.001490826,0.000372631,0.005757676,0.004878321,0.02180452,0.0003175335,0.0003163741],"category_scores_gemma":[0.003098045,0.000452486,0.0003241375,0.005687164,0.004253068,0.0008555718,0.02276902,0.005349764,0.00000845744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003595039,"about_ca_system_score_gemma":0.002356806,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9351964,"about_ca_topic_score_gemma":0.9624032,"domain_scores_codex":[0.9860949,0.008631377,0.001465051,0.001107059,0.001854589,0.0008470511],"domain_scores_gemma":[0.9840047,0.002723665,0.001294523,0.01085353,0.0007963887,0.0003272177],"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":[0.0002464855,0.001065947,0.005919112,0.000820251,0.00024308,0.000005236353,0.004504804,0.00002635106,0.00145371,0.00000772668,0.9852058,0.0005015058],"study_design_scores_gemma":[0.001744945,0.0002116859,0.1248713,0.003428917,0.001130245,0.00001677703,0.01157201,0.00005868209,0.005204615,0.0005446128,0.8503191,0.0008971902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6256377,0.0004523944,1.137278e-7,0.01391686,0.001418437,0.003121764,0.3553642,0.00001171116,0.00007679925],"genre_scores_gemma":[0.8879579,0.00008526155,0.00005554919,0.002565756,0.00009623316,0.00002351345,0.1078455,0.00005336143,0.00131693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2623202,"threshold_uncertainty_score":0.9997927,"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."}}