{"id":"W2123696887","doi":"10.5194/bgd-8-4063-2011","title":"Biogeochemistry of manganese in Lake Matano, Indonesia","year":2011,"lang":"en","type":"article","venue":"","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"","keywords":"Water column; Biogeochemistry; Manganese; Chemocline; Anoxic waters; Environmental chemistry; Abiotic component; Birnessite; Sedimentation; Chemistry; Redox; Geochemical cycle; Mineralogy; Geology; Sediment; Inorganic chemistry; Oceanography; Geomorphology; Manganese oxide","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005453189,0.0001222422,0.0002001295,0.0003470117,0.0003282633,0.0003505295,0.0001266071,0.0001344064,0.0003380845],"category_scores_gemma":[0.0000658443,0.0001215869,0.00008991559,0.0002582789,0.000169138,0.0002040307,0.0002294826,0.00009987239,0.00007636745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005318976,"about_ca_system_score_gemma":0.0003158952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01618879,"about_ca_topic_score_gemma":0.02646784,"domain_scores_codex":[0.9999647,0.000003654639,0.000002961667,0.00001331612,0.000008607627,0.00000677986],"domain_scores_gemma":[0.9999751,0.000002907023,0.000007254496,9.206482e-7,0.000008257059,0.000005531364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004358456,0.00008221356,0.6185823,0.000233689,0.00005817728,0.0006456171,0.001202911,0.001079354,0.3629134,0.0002935719,0.0001670584,0.01430587],"study_design_scores_gemma":[0.00001289661,0.0001163217,0.9761002,0.00001690771,0.00003105765,0.0001884326,0.0009293847,0.005024235,0.01618767,0.0001560211,0.001227311,0.000009502638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992061,0.00006269698,0.00008385479,0.00001907418,0.00000117578,0.000002287731,0.00008102603,0.000006101167,0.0005376842],"genre_scores_gemma":[0.9993296,0.00004085149,0.0002033046,0.000007645725,0.000001052805,0.000002067529,0.00005101257,0.000002244258,0.0003623216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01618879,"threshold_uncertainty_score":0.03218913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01495014444313073,"score_gpt":0.1774918742041231,"score_spread":0.1625417297609924,"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."}}