{"id":"W3095628195","doi":"10.1126/sciadv.abb4848","title":"Let more big fish sink: Fisheries prevent blue carbon sequestration—half in unprofitable areas","year":2020,"lang":"en","type":"article","venue":"Science Advances","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":144,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Université de Montpellier","keywords":"Carbon sequestration; Carbon sink; Sink (geography); Fishery; Fish <Actinopterygii>; Environmental science; Carbon fibers; Ecology; Biology; Computer science; Carbon dioxide; Climate change; Geography","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":[0.001704278,0.0008789817,0.0003519063,0.0005450631,0.00210922,0.004214597,0.001367468,0.004225779,0.0358037],"category_scores_gemma":[0.005372423,0.0002281057,0.000542324,0.0005731437,0.002628586,0.005941182,0.004263784,0.003130525,0.007626267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001364452,"about_ca_system_score_gemma":0.006872367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01193641,"about_ca_topic_score_gemma":0.0201243,"domain_scores_codex":[0.99914,0.0001482014,0.00002288231,0.00008139715,0.000322205,0.0002853549],"domain_scores_gemma":[0.9973878,0.0003315854,0.0002212029,0.0001900657,0.0006556963,0.001213666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006001295,0.0003089691,0.008933734,0.0006412223,0.0002250445,0.0002803976,0.0006861365,0.001414123,0.007354501,0.0557189,0.6411316,0.2827052],"study_design_scores_gemma":[0.0001513435,0.0002868601,0.0175729,0.0009544334,0.0001331674,0.0002878996,0.004137303,0.001559177,0.005565241,0.06707252,0.9021757,0.0001036334],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05065489,0.02028959,0.009164185,0.7682111,0.01753098,0.00007139035,0.001639041,0.001307961,0.131131],"genre_scores_gemma":[0.5226776,0.01736646,0.01043089,0.2860078,0.004381917,0.0001967801,0.001127561,0.0006922474,0.1571187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0358037,"threshold_uncertainty_score":0.1197754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388566250503461,"score_gpt":0.2308370789513419,"score_spread":0.2169514164463072,"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."}}