{"id":"W6908563941","doi":"10.26008/1912/bco-dmo.779779.1","title":"Mercury and methylmercury concentrations in surface snow samples from USCGC Healy HLY1502 in the Canada and Makarov Basins of the Arctic Ocean; Dutch Harbor to Dutch Harbor from August to October 2015","year":2021,"lang":"en","type":"dataset","venue":"Open Access Server of the Woods Hole Scientific Community (Woods Hole Scientific Community)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Ocean Sciences","keywords":"Mercury (programming language); Methylmercury; Snow; Arctic; Cruise; Geotraces","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":[0.0007342905,0.001282528,0.0009277266,0.002558086,0.0007390379,0.001048246,0.001786768,0.001366867,0.01915208],"category_scores_gemma":[0.002301152,0.0005495528,0.000804604,0.005787488,0.0002877355,0.0005759043,0.00122179,0.0008896908,0.01643935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002004598,"about_ca_system_score_gemma":0.003209638,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3441315,"about_ca_topic_score_gemma":0.4558355,"domain_scores_codex":[0.999517,0.00004130342,0.00005047828,0.0001480441,0.0001454944,0.0000977082],"domain_scores_gemma":[0.9986712,0.0002208398,0.0001800011,0.0001939091,0.0005482331,0.0001858836],"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":[0.00008659843,0.00002963243,0.007456195,0.0004235521,0.0000611483,0.00003764171,0.00005541501,0.0005377319,0.0002008478,0.0002194599,0.9887496,0.002142201],"study_design_scores_gemma":[0.000430688,0.00003757902,0.132728,0.0005488421,0.00008553806,0.00009576355,0.0004490582,0.001316315,0.0009523396,0.0007118142,0.8625649,0.00007913814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004602683,0.00001777031,0.00001322214,0.00002159929,0.000007847858,0.000003110856,0.9992385,0.00004582064,0.0001918698],"genre_scores_gemma":[0.0007482687,0.00001851918,0.00007688464,0.0000143294,0.000003747982,0.00002316324,0.9987032,0.00001779051,0.0003940488],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6558685,"threshold_uncertainty_score":0.6842569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08322409404005557,"score_gpt":0.3464680011646917,"score_spread":0.2632439071246361,"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."}}