{"id":"W3099090457","doi":"10.1073/pnas.2008256117","title":"Marine wild-capture fisheries after nuclear war","year":2020,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Nuclear Issues and Defense","field":"Social Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"European Commission; Open Philanthropy Project; Ministerio de Ciencia, Innovación y Universidades","keywords":"Overfishing; Overexploitation; Fishing; Fishery; Fisheries management; Agriculture; Climate change; Natural resource economics; Environmental science; Biology; Economics; Ecology","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":[0.0006212401,0.00006723803,0.0001179518,0.00003834677,0.0003203097,0.00003492128,0.0006259854,0.00008026086,0.0004088196],"category_scores_gemma":[0.0006160512,0.00004622555,0.00007512158,0.0006316171,0.001383108,0.0004860648,0.0002058676,0.0001381717,0.00001177566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001685509,"about_ca_system_score_gemma":0.00002474277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006717344,"about_ca_topic_score_gemma":8.817929e-7,"domain_scores_codex":[0.9983428,0.000008215961,0.0001820109,0.0001820845,0.00113327,0.0001516108],"domain_scores_gemma":[0.9995261,0.00004431315,0.0001822208,0.00000473357,0.0001748226,0.00006781283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002318234,0.0001106864,0.06714763,0.0001812051,0.00004656521,1.033484e-7,0.06728842,0.00002170462,0.03002779,0.7443953,0.08819306,0.002355709],"study_design_scores_gemma":[0.0003763557,0.0001533911,0.1610188,0.00011358,0.00003719733,0.000003768419,0.02021581,0.0005080539,0.006083606,0.1044365,0.7066759,0.0003771239],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.799299,0.00008839334,7.42054e-8,0.07621194,0.00002359005,0.0001228206,0.000007507667,0.00002877474,0.1242179],"genre_scores_gemma":[0.9944866,0.00007005698,0.001509578,0.003351934,0.0001965378,0.000002026079,2.780704e-8,0.000004544064,0.0003787215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6399588,"threshold_uncertainty_score":0.5096117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03538460790910655,"score_gpt":0.2867529247644514,"score_spread":0.2513683168553449,"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."}}