{"id":"W2724107031","doi":"10.5376/ijms.2017.07.0026","title":"Mercury Fractionation in the Sediments of Kongsfjorden, an Arctic Fjord, Svalbard","year":2017,"lang":"en","type":"article","venue":"International Journal of Marine Science","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fjord; Mercury (programming language); Arctic; Oceanography; The arctic; Fractionation; Geology; Environmental science; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001287412,0.000345638,0.0002677216,0.001124675,0.001056782,0.0007117996,0.0001669674,0.0002874172,0.0001726611],"category_scores_gemma":[0.0001456413,0.0002043412,0.0002512706,0.0006125633,0.0004190075,0.0001919238,0.0003258118,0.0001534035,0.00008936169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007690137,"about_ca_system_score_gemma":0.0006994265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1349785,"about_ca_topic_score_gemma":0.1778981,"domain_scores_codex":[0.9998788,0.000007478106,0.00001532264,0.00004104025,0.0000317537,0.00002559456],"domain_scores_gemma":[0.9999213,0.000007255808,0.00002038632,0.000002754514,0.00003120102,0.00001709241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007208445,0.00008644274,0.7692823,0.000218382,0.000235331,0.00134798,0.002674683,0.001039739,0.205283,0.00009114626,0.0001652548,0.018855],"study_design_scores_gemma":[0.000003563827,0.00009842544,0.9924161,0.00001048586,0.00004182634,0.0001592211,0.0008273435,0.00022893,0.005639878,0.00001536693,0.0005530814,0.000005753089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995636,0.0001309363,0.00003270634,0.000004150347,0.000002105066,0.00000151964,0.00007152828,0.000002261306,0.0001911064],"genre_scores_gemma":[0.9986355,0.0002162003,0.0002495568,0.00001691004,0.000002517106,0.000002535392,0.0002324192,0.000002597424,0.0006418314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1349785,"threshold_uncertainty_score":0.2683856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02539905868729286,"score_gpt":0.339235689941035,"score_spread":0.3138366312537422,"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."}}