{"id":"W6908354251","doi":"10.26008/1912/bco-dmo.779757.1","title":"Mercury and methylmercury in wet deposition 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":"Nucleofection; Gestational period; TSG101; Liquation; Diafiltration; Durvalumab; Dysgeusia; Proteogenomics; Emperipolesis","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":[0.0008019239,0.001384555,0.0009943424,0.002812082,0.0008567403,0.001116166,0.001888196,0.001468039,0.01960276],"category_scores_gemma":[0.002356689,0.0005861402,0.0009061827,0.006205002,0.0003159037,0.000587636,0.001394534,0.0009328127,0.01791442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002077815,"about_ca_system_score_gemma":0.003478666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3825431,"about_ca_topic_score_gemma":0.4988836,"domain_scores_codex":[0.999463,0.0000437263,0.00005268387,0.000168517,0.0001629708,0.0001091249],"domain_scores_gemma":[0.998582,0.000218787,0.0001920511,0.0002224435,0.0005906021,0.0001941579],"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":[0.0001033191,0.00003155714,0.009400561,0.0004893544,0.00008015162,0.00004642631,0.00006913292,0.0005799836,0.0002876931,0.0002280622,0.9861971,0.002486735],"study_design_scores_gemma":[0.0003936499,0.00003380486,0.1424266,0.0005441729,0.0000927322,0.00009663374,0.0004654673,0.00109813,0.001056745,0.0006746743,0.853034,0.00008346667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004859176,0.00002158281,0.00001655386,0.00002214731,0.00000902382,0.000003202294,0.9991819,0.00005736187,0.000202225],"genre_scores_gemma":[0.0008227366,0.00002171699,0.0001057711,0.00001625018,0.00000424934,0.00002478721,0.9985467,0.00002323527,0.000434551],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6174569,"threshold_uncertainty_score":0.760633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07363746452361819,"score_gpt":0.340917963552363,"score_spread":0.2672804990287448,"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."}}