{"id":"W2387768364","doi":"","title":"Analysis of Monitoring Spill Oil by Remote Sensing in Developed Countries","year":2002,"lang":"en","type":"article","venue":"Environmental Protection In Transportation","topic":"Oil Spill Detection and Mitigation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oil spill; Environmental science; Remote sensing; Petroleum engineering; Engineering; Environmental engineering; Geology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001771005,0.0001208313,0.0001652546,0.0002201681,0.00006049523,0.000008402655,0.00004616021,0.00008822903,0.001061485],"category_scores_gemma":[0.000006501873,0.0001411274,0.00005616101,0.000767271,0.00008581104,0.000231925,0.00000410975,0.0001335006,0.00005245342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003916695,"about_ca_system_score_gemma":0.000001352159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001967185,"about_ca_topic_score_gemma":0.001748694,"domain_scores_codex":[0.9987951,0.00005120759,0.0004287276,0.0002768496,0.0002918195,0.0001563051],"domain_scores_gemma":[0.9997065,0.00001201466,0.0001431283,0.0001008903,0.000001890147,0.00003556962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006473828,0.0001083177,0.4578357,0.00002862107,0.00005178577,0.000007735634,0.003573413,0.04967127,0.2136919,0.00000172542,0.000008282981,0.2749564],"study_design_scores_gemma":[0.000561012,0.00004199167,0.9023033,0.00003081858,0.00005544484,8.908901e-7,0.0003696032,0.03290481,0.06290169,0.00002870552,0.0006062557,0.0001954998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941249,0.0000443477,0.00503132,0.00005430312,0.00008069221,0.000149367,0.0000146891,0.00002288399,0.0004774243],"genre_scores_gemma":[0.9987465,0.000229863,0.0007049644,0.000017689,0.000007210846,0.000006756506,0.0000342206,0.00001138207,0.0002413985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4444675,"threshold_uncertainty_score":0.9998517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140702240738251,"score_gpt":0.2027186033593631,"score_spread":0.1913115809519806,"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."}}