{"id":"W4408824758","doi":"10.5194/oos2025-263","title":"Projecting pathways to achieve sustainable ocean targets for food security, climate resilience, and biodiversity conservation","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"","keywords":"Resilience (materials science); Food security; Biodiversity; Biodiversity conservation; Climate change; Climate resilience; Environmental resource management; Natural resource economics; Business; Sustainability; Environmental science; Environmental planning; Fishery; Oceanography; Ecology; Economics; Biology; 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":[0.001282122,0.0008526284,0.0004134511,0.0008121604,0.0004927163,0.002068594,0.0009879594,0.001272312,0.004626798],"category_scores_gemma":[0.002594106,0.0003996199,0.00107947,0.001439353,0.0004206097,0.002153612,0.002269621,0.001455695,0.0004153391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003035789,"about_ca_system_score_gemma":0.004298353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05537604,"about_ca_topic_score_gemma":0.0529249,"domain_scores_codex":[0.9995821,0.0002024245,0.00001409136,0.00005926304,0.00004586329,0.00009625884],"domain_scores_gemma":[0.9994568,0.0001334719,0.00008840974,0.00003656918,0.0001426526,0.0001421243],"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":[0.00006902548,0.00005688368,0.01436459,0.00009408509,0.0001540235,0.00008050187,0.00009210197,0.9540428,0.0004123306,0.01907791,0.00310005,0.008455787],"study_design_scores_gemma":[0.00005065444,0.0001382557,0.008773208,0.00009317222,0.0001647766,0.00004200298,0.0008689946,0.9359474,0.0004476111,0.04385117,0.009556449,0.00006640633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.859486,0.001652643,0.06497425,0.01302467,0.0002503992,0.0001936802,0.01101857,0.0004942878,0.04890553],"genre_scores_gemma":[0.9733333,0.001096011,0.01887491,0.0002746943,0.00001971082,0.0001910253,0.00311255,0.00004904833,0.00304881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05537604,"threshold_uncertainty_score":0.1101075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248078754882143,"score_gpt":0.2208671170182795,"score_spread":0.2083863294694581,"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."}}