{"id":"W2758615157","doi":"10.1016/j.jglr.2017.09.003","title":"Background composition of pore waters in Lake Baikal bottom sediments","year":2017,"lang":"en","type":"article","venue":"Journal of Great Lakes Research","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Federal Agency for Scientific Organizations","keywords":"Biogeochemical cycle; Diagenesis; Geology; Pore water pressure; Sedimentary rock; Mineralization (soil science); Oceanography; Hydrology (agriculture); Geochemistry; Mineralogy; Environmental chemistry; Soil science; Chemistry; Soil water","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":[0.0001734527,0.0001962087,0.0002522875,0.0006564691,0.0005947004,0.0006608895,0.0002517543,0.0003783442,0.001792419],"category_scores_gemma":[0.0003880739,0.0001526123,0.0001453461,0.0007026778,0.000325754,0.000422445,0.0005450486,0.0002031413,0.0002636729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008611172,"about_ca_system_score_gemma":0.0008951076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02961239,"about_ca_topic_score_gemma":0.03989631,"domain_scores_codex":[0.9997641,0.00001617341,0.0000276666,0.00008212516,0.0000578095,0.00005205855],"domain_scores_gemma":[0.9998294,0.00002738448,0.00005053848,0.000005798828,0.00005475003,0.00003216033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007648884,0.00006680914,0.5444428,0.0005863783,0.00007994131,0.0002299359,0.0005087775,0.0006818998,0.4379041,0.0002847283,0.0002426949,0.01420701],"study_design_scores_gemma":[0.00001727731,0.0001215697,0.9791234,0.00002041091,0.00004299434,0.0001519949,0.0004077498,0.0004645788,0.01796046,0.0001165424,0.001557059,0.00001609228],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957623,0.0006797926,0.0002647476,0.00005663432,0.000007348001,0.00001087843,0.001799446,0.00002191408,0.001397068],"genre_scores_gemma":[0.997579,0.0003287384,0.000456281,0.00003785573,0.00001152546,0.00001752694,0.0009135412,0.000007948717,0.0006475123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02961239,"threshold_uncertainty_score":0.05888003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0596192286375563,"score_gpt":0.3455678440325254,"score_spread":0.2859486153949691,"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."}}