{"id":"W4398209534","doi":"10.1038/s41561-024-01449-7","title":"Carbon export from seaweed forests to deep ocean sinks","year":2024,"lang":"en","type":"article","venue":"Nature Geoscience","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Australian Research Council; Danmarks Frie Forskningsfond","keywords":"Carbon sink; Environmental science; Carbon fibers; Algae; Carbon cycle; Oceanography; Geology; Ecology; Climate change; Biology; Ecosystem","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002058971,0.0001378304,0.0001272832,0.000114162,0.00008935902,0.0001227255,0.0004044849,0.0002051348,0.0005663132],"category_scores_gemma":[0.00007215403,0.00009984965,0.00004111966,0.0005646027,0.0000693798,0.0001418845,0.00004770291,0.0004339119,0.0002117879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004355947,"about_ca_system_score_gemma":0.000080506,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02208804,"about_ca_topic_score_gemma":0.05899576,"domain_scores_codex":[0.9986491,0.00002481556,0.0001331863,0.0005142503,0.0002969853,0.0003816806],"domain_scores_gemma":[0.9994333,0.0001302187,0.00001917097,0.0001951561,0.00002482726,0.0001973549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000494472,0.00001102221,0.6194808,0.00001770999,0.00001268673,0.0004057477,0.0002929628,0.0001735994,0.0003862055,0.0003082386,0.005200158,0.3736613],"study_design_scores_gemma":[0.00007245997,0.0001956107,0.6719282,0.00003268846,0.00001182295,0.00005436863,0.00007826207,0.02943585,0.0001688055,0.001933728,0.2957727,0.0003155076],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9465514,0.001536452,0.0001860763,0.0009893408,0.001976458,0.0001347626,0.0001613106,0.0001317635,0.04833242],"genre_scores_gemma":[0.9930931,0.00001556059,0.0004954495,0.001411664,0.0002987333,4.789112e-7,0.0001844955,0.000002631336,0.004497852],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3733459,"threshold_uncertainty_score":0.9844239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00579771217137214,"score_gpt":0.2106806268182547,"score_spread":0.2048829146468825,"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."}}