{"id":"W4407561218","doi":"10.1029/2024ef004826","title":"An Integrated Global‐To‐Regional Scale Workflow for Simulating Climate Change Impacts on Marine Ecosystems","year":2025,"lang":"en","type":"article","venue":"Earth s Future","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"North Pacific Marine Science Organization; Dalhousie University; Impact; Memorial University of Newfoundland","funders":"Horizon 2020 Framework Programme; Agence Nationale de la Recherche; National Research Foundation","keywords":"Environmental science; Climate change; Scale (ratio); Ecosystem; Environmental resource management; Workflow; Marine ecosystem; Global change; Oceanography; Climatology; Computer science; Ecology; Geography; 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":[0.006541762,0.001481223,0.0009268581,0.001447962,0.001534713,0.003397439,0.003382344,0.001348662,0.007369983],"category_scores_gemma":[0.01020096,0.0009870441,0.002768487,0.001591221,0.0007511363,0.002366315,0.003861609,0.002334783,0.002990462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002134943,"about_ca_system_score_gemma":0.006514665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04591466,"about_ca_topic_score_gemma":0.04022615,"domain_scores_codex":[0.9987943,0.0003171172,0.0002109339,0.0003265688,0.0002266436,0.0001242581],"domain_scores_gemma":[0.9948368,0.001431199,0.0002448408,0.001642839,0.001323271,0.0005210305],"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":[0.0007073666,0.0006709092,0.01985497,0.0004647576,0.0005765017,0.001016986,0.002001272,0.7186411,0.01076055,0.03847152,0.0571224,0.1497116],"study_design_scores_gemma":[0.0002220634,0.00005015716,0.00242551,0.000123772,0.00009182751,0.00005779549,0.0003289922,0.9099535,0.006361759,0.02604255,0.05420316,0.0001389526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03242459,0.0001627754,0.8417068,0.0008629092,0.0002348582,0.0008743441,0.01525465,0.09526581,0.01321324],"genre_scores_gemma":[0.2042312,0.0003534859,0.7537498,0.0004008676,0.00004977465,0.001346621,0.02718923,0.007553803,0.005125205],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04591466,"threshold_uncertainty_score":0.09129477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01681235187129964,"score_gpt":0.2865171100790012,"score_spread":0.2697047582077016,"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."}}