{"id":"W3160367177","doi":"10.21203/rs.3.rs-38503/v1","title":"Ocean temperature controls kelp decomposition and carbon sink potential","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; Bedford Institute of Oceanography; Fisheries and Oceans Canada; Université Laval; Dalhousie University","funders":"","keywords":"Carbon sink; Kelp; Sink (geography); Environmental science; Decomposition; Oceanography; Carbon fibers; Kelp forest; Ecology; Climate change; Geography; Geology; Materials science; Biology","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":[0.00009854625,0.0001458905,0.0002044722,0.00009351198,0.0000968281,0.0003700822,0.0001121922,0.0001402236,0.001449045],"category_scores_gemma":[0.0002219537,0.0001210188,0.0001426152,0.0000836209,0.000165925,0.0002098807,0.0001900502,0.0001809613,0.0002100056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001966364,"about_ca_system_score_gemma":0.000122979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001797212,"about_ca_topic_score_gemma":0.00204323,"domain_scores_codex":[0.9999659,0.000005285875,0.000002285722,0.00001153865,0.000005098572,0.000009879336],"domain_scores_gemma":[0.9997782,0.00006396553,0.00006686751,0.00002468715,0.00002982923,0.00003653583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008164569,0.00005758149,0.05183655,0.00005136822,0.00003646796,0.0000452202,0.00005182594,0.0008251878,0.9428414,0.00009330235,0.0001108206,0.003233837],"study_design_scores_gemma":[0.00002936672,0.0002247425,0.8746306,0.000007036232,0.00004526856,0.00006269819,0.0001384622,0.005672012,0.1184056,0.0002449866,0.0005271729,0.00001194333],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991973,0.0000571751,0.000236045,0.0000120218,0.000003251697,0.000002317761,0.000128908,0.00000810572,0.0003549664],"genre_scores_gemma":[0.9992822,0.00005168099,0.0001825725,0.0000153327,0.000002097646,0.00000419503,0.0001314165,0.000007026091,0.0003233934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001797212,"threshold_uncertainty_score":0.004847527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004146124683589683,"score_gpt":0.2030291862308008,"score_spread":0.1988830615472111,"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."}}