{"id":"W3194357643","doi":"10.1038/s41586-021-03889-2","title":"Environmental performance of blue foods","year":2021,"lang":"en","type":"article","venue":"Nature","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":650,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Consortium of International Agricultural Research Centers; Svenska Forskningsrådet Formas; Nature Conservancy; MAVA Foundation; Walton Family Foundation; Harvard Data Science Initiative, Harvard University; Oak Foundation; Vetenskapsrådet; National Science Foundation","keywords":"Pelagic zone; Fishery; Environmental science; Aquaculture; Greenhouse gas; Ecology; Fish <Actinopterygii>; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002515486,0.00004484713,0.00006112359,0.00000184999,0.00004264755,0.000005612309,0.00006522694,0.0003153648,0.0007796232],"category_scores_gemma":[0.000007292776,0.00001540796,0.00004550408,0.00009635117,0.00002084548,0.00003920922,0.00002254777,0.000338287,0.00001716026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005517562,"about_ca_system_score_gemma":0.000001768346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.031226e-7,"about_ca_topic_score_gemma":0.000009408663,"domain_scores_codex":[0.9996488,0.00001403221,0.00006011716,0.00009541118,0.0001099922,0.00007160958],"domain_scores_gemma":[0.9998984,0.00001655891,0.00002257429,0.00002181701,0.00001317248,0.00002743576],"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":[0.00001183773,0.00009803714,0.01495807,0.00000693699,0.000005927092,0.000003701353,0.00003305907,4.241363e-7,0.9624852,0.0002426252,0.003039352,0.01911483],"study_design_scores_gemma":[0.0001082328,0.00009869911,0.4183541,0.00001177345,0.000004462252,0.00001499316,0.0002073241,0.000009324595,0.4128642,0.00006093168,0.1681879,0.00007809853],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963375,0.0008866386,1.292075e-7,0.001049995,0.00003864496,0.000024533,0.00004115842,0.00001110338,0.001610301],"genre_scores_gemma":[0.9983245,0.0001284815,0.00006858415,0.0006975299,0.0001093937,0.00000113526,0.00007779613,2.144995e-7,0.0005923521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.549621,"threshold_uncertainty_score":0.8536327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006494825476620667,"score_gpt":0.1958500715358533,"score_spread":0.1893552460592327,"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."}}