{"id":"W3034285889","doi":"10.3390/su12114714","title":"Global Marine Fishing across Space and Time","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Andlinger Center for Energy and the Environment, Princeton University; Princeton Environmental Institute, Princeton University; National Aeronautics and Space Administration; Office of the Dean for Research, Princeton University; AgBioResearch, Michigan State University; National Science Foundation","keywords":"Exclusive economic zone; Fishing; Threatened species; Livelihood; Geography; Fishery; International waters; Fisheries management; Ecology; Biology; Agriculture","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002796832,0.00008643184,0.0001067557,0.000002139673,0.0001257478,0.00007624078,0.0001708395,0.00004324848,0.006879204],"category_scores_gemma":[0.0008597635,0.00007989751,0.00002701714,0.0002581876,0.0003138796,0.0002133626,0.001807835,0.0001070048,0.00006633521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000416361,"about_ca_system_score_gemma":0.00002684073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002112405,"about_ca_topic_score_gemma":0.0001365623,"domain_scores_codex":[0.9989516,0.00005528813,0.00009911774,0.000330208,0.0002087451,0.0003550012],"domain_scores_gemma":[0.9995232,0.00002573378,0.00001785891,0.0001923137,0.00002556243,0.0002153013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004849109,0.00001856653,0.9390553,0.00003913745,0.000002317512,0.00001905366,0.0004165724,0.000015165,0.000009440247,0.0002071064,0.002955544,0.05721333],"study_design_scores_gemma":[0.0002240523,0.000111739,0.7839407,3.284641e-7,0.00000228327,0.000003478179,0.0005827083,0.002192754,0.00001176036,0.008946148,0.2038445,0.0001395026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.823727,0.000002189149,0.0000890584,0.02030932,0.00000882368,0.0002329206,0.000008550559,0.00004823989,0.155574],"genre_scores_gemma":[0.9968114,0.000003102624,0.0002170257,0.0003913747,0.00003090041,0.000007404216,0.000004039967,0.000004956925,0.002529772],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2008889,"threshold_uncertainty_score":0.9940286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007822840121854203,"score_gpt":0.2667005895216239,"score_spread":0.2588777493997697,"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."}}