{"id":"W4405659547","doi":"10.1029/2023ef004402","title":"Detecting, Attributing, and Projecting Global Marine Ecosystem and Fisheries Change: FishMIP 2.0","year":2024,"lang":"en","type":"article","venue":"Earth s Future","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Okanagan University College; Fisheries and Oceans Canada; Memorial University of Newfoundland; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"HORIZON EUROPE European Research Council; Horizon 2020 Framework Programme; European Cooperation in Science and Technology; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Fishery; Ecosystem; Environmental science; Oceanography; Marine fisheries; Marine ecosystem; Climate change; Regime shift; Geography; Environmental resource management; Ecology; Fish <Actinopterygii>; Geology; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002870498,0.0001553743,0.0001402623,0.00002105663,0.0002258123,0.0002925309,0.0000962549,0.0001004057,0.00364888],"category_scores_gemma":[0.00004811481,0.0001293992,0.00002925983,0.0003182336,0.00007927194,0.0003239702,0.0006821837,0.0002564278,0.00005174257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003887965,"about_ca_system_score_gemma":0.000009438639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008205886,"about_ca_topic_score_gemma":0.00499431,"domain_scores_codex":[0.998822,0.00004841437,0.0001362604,0.0004073871,0.0002294497,0.0003564733],"domain_scores_gemma":[0.9996653,0.00003247295,0.00002677669,0.0001483298,0.000007390406,0.000119702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001026324,0.000004726185,0.6432098,0.0001243655,0.00001033943,0.00004482539,0.0004101642,1.390542e-7,0.00002723392,0.00004678177,0.002158159,0.3539532],"study_design_scores_gemma":[0.0001105552,0.00009486289,0.2921161,0.00001759725,0.000007431713,0.000131641,0.000379526,0.001045329,0.00005054032,0.00006807374,0.7058208,0.0001575786],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9083976,0.0003485879,0.00001551317,0.001837168,0.000361566,0.0003830862,0.00003266841,0.0001709009,0.08845297],"genre_scores_gemma":[0.9942042,0.0002458977,0.0005622105,0.000188369,0.001090187,0.00004429373,0.00001547876,0.00002099765,0.003628403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7036626,"threshold_uncertainty_score":0.9972619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627955665043335,"score_gpt":0.2437492763693964,"score_spread":0.2274697197189631,"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."}}