{"id":"W4408816248","doi":"10.5194/oos2025-742","title":"Modeling links between climate-driven three-dimensional habitat compression and fishing effort in the Eastern Tropical Pacific ","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Pelagic zone; Fishing; Marine protected area; Fishery; Marine habitats; Geography; Climate change; Habitat; Biodiversity; Marine conservation; Fisheries management; Sustainability; Tuna; Effects of global warming; Commercial fishing; Global warming; Oceanography; Ecology; Biology; Fish <Actinopterygii>; Geology","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":[0.0005251392,0.0006168146,0.0003372075,0.0005535341,0.0005519115,0.001002868,0.0009273877,0.001277362,0.001568152],"category_scores_gemma":[0.002207775,0.0004650867,0.0008891171,0.0006652105,0.0006328262,0.0006569167,0.0006806775,0.001029356,0.0001101394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115158,"about_ca_system_score_gemma":0.001446014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2073309,"about_ca_topic_score_gemma":0.1141555,"domain_scores_codex":[0.9998635,0.00003052262,0.000008690538,0.00004298382,0.00001175472,0.00004249176],"domain_scores_gemma":[0.9991567,0.0004957413,0.000113537,0.00003809632,0.00008863558,0.0001073426],"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":[0.00005657892,0.0001107072,0.05779974,0.00002320037,0.00006161758,0.000116704,0.000038118,0.9384288,0.0003447428,0.0004870205,0.000471475,0.002061325],"study_design_scores_gemma":[0.00001536481,0.00001336641,0.01235844,0.000004939822,0.00001456011,0.0000108577,0.00005360912,0.9871557,0.00005286645,0.0001851392,0.0001276468,0.000007522079],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995771,0.0001359296,0.00174609,0.0003627368,0.00002390214,0.00001139283,0.0006959912,0.00006636984,0.001186565],"genre_scores_gemma":[0.9979712,0.00008749391,0.001014946,0.00004064439,0.00001160654,0.00001480446,0.0004974617,0.00001218532,0.0003495594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2073309,"threshold_uncertainty_score":0.4122483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03660034463756452,"score_gpt":0.2805542694058422,"score_spread":0.2439539247682777,"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."}}