{"id":"W7116775631","doi":"10.52403/ijrr.20251245","title":"Toward Regenerative Coastal Seascapes: Integrating Blue Carbon, Restoration Ecology, and Spatial Planning Across Marine and Coastal Ecosystems","year":2025,"lang":"","type":"article","venue":"International Journal of Research and Review","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Marine spatial planning; Restoration ecology; Marine protected area; Seascape; Kelp forest; Biodiversity; Ecosystem services; Ecosystem; Climate change","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004511381,0.0003014953,0.0007239881,0.0002664965,0.0003709506,0.0004878652,0.0004461903,0.0001623424,0.00008953785],"category_scores_gemma":[0.0008871112,0.0002426223,0.00009782441,0.0003276592,0.0006523228,0.0004650922,0.001822868,0.0009864682,0.000003405413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003539039,"about_ca_system_score_gemma":0.0002720144,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003123162,"about_ca_topic_score_gemma":0.04939267,"domain_scores_codex":[0.9960328,0.0006466018,0.001223562,0.0004744692,0.001126741,0.0004957819],"domain_scores_gemma":[0.997627,0.0005397823,0.000628147,0.0001546026,0.0007169333,0.0003335663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00128623,0.0003148138,0.7107894,0.00645992,0.0009891855,0.001069374,0.003663507,0.0001958356,0.00158664,0.0007446183,0.0018584,0.271042],"study_design_scores_gemma":[0.01369879,0.01086207,0.3983164,0.1651515,0.0006701759,0.01492464,0.03080894,0.290074,0.00127303,0.004436824,0.06728631,0.002497438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9439076,0.0461099,0.000858637,0.005883345,0.001264585,0.0007922389,0.0002336862,0.000007801717,0.0009422328],"genre_scores_gemma":[0.8974463,0.1013918,0.0001948704,0.0001002354,0.0003305547,0.0000131127,0.00002569484,0.00001452084,0.0004829036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3124731,"threshold_uncertainty_score":0.9893849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03196609786550285,"score_gpt":0.362855161114306,"score_spread":0.3308890632488031,"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."}}