{"id":"W4308750605","doi":"10.1002/lno.12255","title":"Microbially driven fate of terrigenous particulate organic matter in oceans","year":2022,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Fundamental Research Funds for the Central Universities","keywords":"Terrigenous sediment; Organic matter; Remineralisation; Environmental chemistry; Proteobacteria; Deep sea; Chemistry; Environmental science; Oceanography; Geology; Geochemistry; Sedimentary rock; Organic chemistry","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":[0.000146603,0.0003493207,0.0003173554,0.0001558484,0.0003334504,0.0005504364,0.0002816372,0.0003914312,0.000549956],"category_scores_gemma":[0.0002536761,0.0002093752,0.0004967843,0.0001897596,0.0003317407,0.0004488129,0.0005108823,0.0003240677,0.00006310866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006594694,"about_ca_system_score_gemma":0.0006880253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01031271,"about_ca_topic_score_gemma":0.004385098,"domain_scores_codex":[0.9999458,0.00001023551,0.000004196363,0.00001850949,0.00001019008,0.00001124308],"domain_scores_gemma":[0.9999225,0.00001809723,0.00002003773,0.00001025023,0.00001379297,0.00001529379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002186227,0.0001142814,0.08677768,0.0001070541,0.0001506453,0.0002605006,0.000067997,0.7787789,0.1289465,0.001696605,0.0001236155,0.002757601],"study_design_scores_gemma":[0.00005518667,0.0001951351,0.02332003,0.000005401086,0.00003995219,0.00003046497,0.00007092857,0.9598357,0.01509233,0.0009250379,0.0004068319,0.00002300663],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979546,0.00005032253,0.001414875,0.0000306252,0.000005958123,0.000006105509,0.0001744059,0.00001688403,0.0003461505],"genre_scores_gemma":[0.9988208,0.00005575829,0.0007667837,0.00001041662,0.00000170951,0.000007940173,0.0001706342,0.000004644121,0.0001613291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01031271,"threshold_uncertainty_score":0.02050537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004984294471657776,"score_gpt":0.184605608686672,"score_spread":0.1796213142150142,"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."}}