{"id":"W4285035496","doi":"10.3389/fmars.2022.768784","title":"Overfishing Increases the Carbon Footprint of Seafood Production From Small-Scale Fisheries","year":2022,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia; Walton Family Foundation; David and Lucile Packard Foundation; University of California, San Diego; National Science Foundation","keywords":"Overfishing; Fishing; Environmental science; Fishery; Stock (firearms); Carbon footprint; Biomass (ecology); Climate change; Greenhouse gas; Ecology; Geography; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00131434,0.0001088628,0.0001548378,0.00009272242,0.0004023165,0.0000591315,0.001135499,0.00001900007,0.001111094],"category_scores_gemma":[0.0003241568,0.00008996295,0.0000354796,0.001429434,0.001268535,0.0001677512,0.00444687,0.0003300777,8.791843e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000361305,"about_ca_system_score_gemma":0.00007411229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02589481,"about_ca_topic_score_gemma":0.001514494,"domain_scores_codex":[0.9978834,0.0001390627,0.0002300694,0.0004892288,0.0008927017,0.0003655067],"domain_scores_gemma":[0.9992512,0.00004169461,0.00009276763,0.0005297269,0.00001637973,0.0000681953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004954265,0.00007842982,0.9204957,0.00000405421,0.00000310904,0.000002910786,0.0005095633,0.0005828012,0.002806637,0.000009024653,0.0003850536,0.07507311],"study_design_scores_gemma":[0.0002319618,0.0002020965,0.9650151,0.000003394157,0.000007562584,0.000006312686,0.003672804,0.003461758,0.007376824,0.003812877,0.01599411,0.0002151664],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9359781,0.000006725692,0.00003815171,0.0006630342,0.0005122182,0.0002843782,0.00000544279,0.00001738959,0.06249457],"genre_scores_gemma":[0.9900202,0.00001830195,0.008556675,0.00005170634,0.00004254967,0.00008643915,0.000005355011,0.000009022399,0.001209728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07485794,"threshold_uncertainty_score":0.9998021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051753086942296,"score_gpt":0.2035931684009059,"score_spread":0.1930756375314829,"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."}}