{"id":"W4388485820","doi":"10.1016/j.jmarsys.2023.103946","title":"Exploring fishing impacts on the structure and functioning of the Yellow Sea ecosystem using an individual-based modeling approach","year":2023,"lang":"en","type":"article","venue":"Journal of Marine Systems","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Fisheries and Oceans Canada; National Natural Science Foundation of China; Norges Forskningsråd; Biodiversa+","keywords":"Fishing; Pelagic zone; Demersal fish; Fishery; Ecosystem; Trophic level; Biomass (ecology); Environmental science; Demersal zone; Marine ecosystem; Ecosystem model; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001805736,0.0001221478,0.0002176365,0.00009465921,0.0002732898,0.0001682403,0.0003697605,0.00004650893,0.00008487346],"category_scores_gemma":[0.000139708,0.00006578669,0.00007297551,0.0004564395,0.00004449887,0.0004645752,0.0003587788,0.0004035095,9.087393e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000111612,"about_ca_system_score_gemma":0.00003807882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009692105,"about_ca_topic_score_gemma":0.00008579023,"domain_scores_codex":[0.9981047,0.0002852575,0.000417815,0.0001432414,0.0008137387,0.0002352496],"domain_scores_gemma":[0.9991555,0.0001217898,0.0003250156,0.0002637696,0.00003733172,0.00009656024],"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":[0.00004033589,0.00002021351,0.2558154,0.0001451305,0.00004298369,0.000006255602,0.0006008327,0.7405679,0.001095217,0.00001638148,0.0001040243,0.001545323],"study_design_scores_gemma":[0.0002765046,0.0001196922,0.02427827,0.0001272285,0.00002528152,0.00008003724,0.002309918,0.9720276,0.0002513079,0.00002315569,0.0003823065,0.00009868347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996398,0.000004719734,0.0003649723,0.0001433981,0.0002888467,0.0001989305,0.000007054715,0.000009430069,0.002584702],"genre_scores_gemma":[0.9995908,0.000009139868,0.000121627,0.00001969951,0.0001839133,0.000002742231,0.000002117465,0.00001752914,0.0000524831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2315372,"threshold_uncertainty_score":0.2682703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1379345331517015,"score_gpt":0.2579866711318403,"score_spread":0.1200521379801388,"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."}}