{"id":"W4394878952","doi":"10.7249/rra2375-1","title":"Great Lakes Oil Spill Response Capabilities Evaluation","year":2024,"lang":"en","type":"book","venue":"RAND Corporation eBooks","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; U.S. Department of Homeland Security","keywords":"Oil spill; Environmental science; Petroleum engineering; Geology; Environmental protection","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00435645,0.0006061895,0.0002136731,0.002726337,0.001036451,0.002631917,0.0007790133,0.0004215513,0.01694386],"category_scores_gemma":[0.008644333,0.0001889287,0.0004493279,0.002284891,0.0004171111,0.001891596,0.00146681,0.0005309089,0.002546444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00734275,"about_ca_system_score_gemma":0.00900128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2178605,"about_ca_topic_score_gemma":0.2497631,"domain_scores_codex":[0.9950556,0.001243865,0.0001390979,0.0002089154,0.002778163,0.0005742735],"domain_scores_gemma":[0.9912165,0.001736343,0.000344775,0.0002885425,0.005964204,0.0004495957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001289869,0.00128445,0.07476338,0.001124092,0.0002469815,0.0008751813,0.002932532,0.05961561,0.005599963,0.03835225,0.4010071,0.4129086],"study_design_scores_gemma":[0.0003939661,0.00220043,0.1640635,0.001091614,0.0003080299,0.0004737667,0.0257195,0.07399955,0.03402209,0.008408847,0.6889818,0.0003369276],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2378398,0.0007235121,0.005196133,0.006174193,0.0001205757,0.001621495,0.01694151,0.0009442521,0.7304385],"genre_scores_gemma":[0.7951155,0.00162851,0.01882304,0.001160295,0.00006166111,0.001193355,0.02473675,0.0002132934,0.1570676],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2178605,"threshold_uncertainty_score":0.4331849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01963712738718008,"score_gpt":0.2334128581070548,"score_spread":0.2137757307198747,"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."}}