{"id":"W7028281240","doi":"","title":"Encinitas-Solana Beach Coastal Storm Damage Reduction Project Integrated Feasibility Report &amp; Environmental Impact Statement/Environmental Impact Report (EIS/EIR), San Diego County, California, Volume I","year":2015,"lang":"en","type":"report","venue":"US Army Corps of Engineers: Engineer Research and Development Center (Knowledge Core)","topic":"Seismic Waves and Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"California Department of Fish and Wildlife; Massachusetts Department of Fish and Game; Fondation Pour La Conservation Du Saumon Atlantique; California Department of Fish and Game; California Energy Commission; U.S. Army Corps of Engineers; California Air Resources Board","keywords":"Environmental impact assessment; Impact assessment; Storm; Reduction (mathematics); Volume (thermodynamics); Environmental impact statement","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008986125,0.0006501045,0.0002550828,0.001279627,0.001871663,0.001859617,0.001059013,0.0006047486,0.03487637],"category_scores_gemma":[0.001449357,0.0004577573,0.000224551,0.00109632,0.0003788502,0.000707351,0.001130063,0.000941316,0.005961546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003749371,"about_ca_system_score_gemma":0.02543908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3177467,"about_ca_topic_score_gemma":0.5415088,"domain_scores_codex":[0.9989434,0.0000579356,0.00002965191,0.00006933031,0.0007538337,0.000145897],"domain_scores_gemma":[0.9983157,0.0001092522,0.0001051307,0.00009698566,0.001119967,0.0002530455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009979723,0.00153456,0.05601409,0.0003325497,0.00008009071,0.0007382809,0.0006051657,0.002332378,0.007573487,0.005917165,0.8316149,0.09225952],"study_design_scores_gemma":[0.0003971344,0.0005582054,0.1965061,0.0001911094,0.00007990866,0.000322323,0.003004023,0.002534712,0.01383974,0.0007486709,0.7817574,0.00006060849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1650712,0.0007166401,0.002326784,0.009058991,0.0006047736,0.002946047,0.1540292,0.001256346,0.6639901],"genre_scores_gemma":[0.1659292,0.001281688,0.008481509,0.0008379511,0.00007614879,0.00108814,0.08200836,0.0002844616,0.7400125],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3177467,"threshold_uncertainty_score":0.6317945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09502375421659862,"score_gpt":0.3414859423507525,"score_spread":0.2464621881341539,"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."}}