{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00547222,0.001073389,0.0004872133,0.001044571,0.0005245191,0.001136007,0.002297832,0.0007375969,0.002109688],"category_scores_gemma":[0.00558684,0.0005903991,0.001378319,0.000747412,0.0006205598,0.001547182,0.002202278,0.001296722,0.0006145698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402802,"about_ca_system_score_gemma":0.002679436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04405851,"about_ca_topic_score_gemma":0.03243262,"domain_scores_codex":[0.9993876,0.0002075168,0.00003689487,0.0001233051,0.0001908586,0.00005372352],"domain_scores_gemma":[0.9981545,0.0006746064,0.0002173267,0.0003596175,0.0004124101,0.0001816046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001990587,0.0001751486,0.04213582,0.0001181892,0.0005242354,0.0002118559,0.0000964767,0.9038153,0.002866774,0.006673852,0.0141561,0.02902717],"study_design_scores_gemma":[0.00006373911,0.00004699895,0.006717538,0.00002604711,0.00006141105,0.0000358773,0.00002862988,0.9796218,0.002299722,0.00564781,0.005386304,0.00006423915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4678787,0.0004679168,0.4146945,0.004313287,0.0003702356,0.0008455414,0.04827472,0.04292713,0.0202279],"genre_scores_gemma":[0.5562584,0.0002828042,0.4082914,0.0005622171,0.00008970061,0.0007325124,0.02834834,0.002524475,0.002910016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04405851,"threshold_uncertainty_score":0.08760411,"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."}}