{"id":"W4392705755","doi":"10.1038/s44183-024-00045-x","title":"Key components of sustainable climate-smart ocean planning","year":2024,"lang":"en","type":"article","venue":"npj Ocean Sustainability","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; Fundação para a Ciência e a Tecnologia; H2020 Marie Skłodowska-Curie Actions; Research Executive Agency; HORIZON EUROPE Framework Programme; UK Research and Innovation; National Research Foundation; European Commission; National Science Foundation","keywords":"Marine spatial planning; Key (lock); Globe; Environmental resource management; Corporate governance; Environmental planning; Business; Climate change; Sustainable development; Geography; Environmental science; Computer science; Oceanography; Political science","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":[0.006219096,0.0009017908,0.0004049431,0.003027144,0.002410332,0.009102912,0.001833172,0.002122249,0.0193078],"category_scores_gemma":[0.01530762,0.000775477,0.0005210008,0.003506716,0.004454366,0.004798985,0.009636259,0.0023354,0.003368613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005916249,"about_ca_system_score_gemma":0.02362634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01311625,"about_ca_topic_score_gemma":0.01461426,"domain_scores_codex":[0.9956505,0.001520481,0.0003114903,0.0003256188,0.001681458,0.0005105418],"domain_scores_gemma":[0.9917204,0.001602008,0.0009392679,0.00066292,0.002837257,0.002238185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000057456,0.0002851724,0.01625383,0.001096854,0.000112027,0.0003108575,0.002135553,0.0347544,0.001443337,0.5911219,0.05640734,0.2960213],"study_design_scores_gemma":[0.00003259337,0.0001661662,0.0207884,0.001909604,0.00009620647,0.0002338866,0.006409802,0.02827219,0.002612878,0.4751207,0.4642224,0.000135159],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04802078,0.002960772,0.1987049,0.09794042,0.0008564421,0.002985371,0.001295118,0.001795532,0.6454407],"genre_scores_gemma":[0.6701691,0.004522724,0.2908742,0.002801195,0.0002173048,0.001428266,0.00156748,0.0002280562,0.02819182],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0193078,"threshold_uncertainty_score":0.06459099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008373458898679522,"score_gpt":0.2384618233860868,"score_spread":0.2300883644874073,"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."}}