{"id":"W4384400925","doi":"10.1016/j.csr.2023.105069","title":"A seafloor sensitivity index to oil spills in tropical marine protected areas","year":2023,"lang":"en","type":"article","venue":"Continental Shelf Research","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco","keywords":"Bathymetry; Marine protected area; Seafloor spreading; Environmental science; Oceanography; Marine conservation; Port (circuit theory); Scale (ratio); Oil spill; Habitat; Index (typography); Marine spatial planning; Seabed; Sensitivity (control systems); Environmental resource management; Geology; Environmental protection; Geography; Ecology; Cartography; Computer 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":[0.000335538,0.0002072164,0.0001218084,0.001899592,0.0001883903,0.0004771324,0.0001248017,0.0001830666,0.001014048],"category_scores_gemma":[0.001622507,0.00008052082,0.0002597599,0.001132277,0.0001355875,0.0002841723,0.0004159388,0.0001736984,0.0001635643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004379594,"about_ca_system_score_gemma":0.0002199521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02409752,"about_ca_topic_score_gemma":0.03366844,"domain_scores_codex":[0.99984,0.00002920553,0.00002342335,0.00002716037,0.00004288103,0.00003719927],"domain_scores_gemma":[0.9983696,0.0002982907,0.0007508702,0.00005598668,0.0002427992,0.0002825002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009725097,0.00002390371,0.9958762,0.000006248955,0.0000466134,0.00003263606,0.00004771407,0.0005352577,0.0007020702,0.00001647899,0.0001093511,0.002506242],"study_design_scores_gemma":[0.000001465545,0.00003638221,0.9986898,0.000001981623,0.00001165786,0.00003453443,0.0001349352,0.0007692773,0.0001946997,0.00001232606,0.0001110342,0.000001877032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990466,0.00002713428,0.00006707945,0.00001069897,0.000002486865,0.000004510161,0.0003534199,0.00000430377,0.000483642],"genre_scores_gemma":[0.9992666,0.00003442879,0.0001004385,0.000006937533,0.00000370897,0.000003186282,0.0004074495,0.000001358818,0.0001759253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02409752,"threshold_uncertainty_score":0.04791456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0268753263786535,"score_gpt":0.3084371564204,"score_spread":0.2815618300417465,"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."}}