{"id":"W2005206296","doi":"10.3390/jmse1010010","title":"Detection of Oil in Ice and Snow","year":2013,"lang":"en","type":"article","venue":"Journal of Marine Science and Engineering","topic":"Underwater Acoustics Research","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Spinal Cord Injury Alberta","funders":"","keywords":"Snow; Ground-penetrating radar; Environmental science; Oil spill; Remote sensing; Oil field; Petroleum engineering; Sea ice; Geology; Radar; Meteorology; Computer science; Climatology; Geomorphology; Telecommunications","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":[0.0003414003,0.0003494959,0.0003972195,0.0007046679,0.0002879927,0.0004556489,0.0002991984,0.0004239823,0.0009084758],"category_scores_gemma":[0.0006479482,0.000192664,0.0002435352,0.000384603,0.0003303775,0.0006976261,0.000421978,0.000246621,0.0005269533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002248724,"about_ca_system_score_gemma":0.0002048596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001119287,"about_ca_topic_score_gemma":0.003622826,"domain_scores_codex":[0.9997243,0.00002602495,0.00001464135,0.00005882879,0.0001346178,0.00004152541],"domain_scores_gemma":[0.9995653,0.0001516514,0.0001350548,0.00001488197,0.0001070487,0.00002610993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004959433,0.00003716561,0.02199949,0.0005482591,0.00003744528,0.000634312,0.0002592182,0.001335015,0.8766586,0.000327334,0.0003693002,0.09729782],"study_design_scores_gemma":[0.00001616178,0.0008047508,0.03397678,0.0001227518,0.00007426077,0.001483553,0.0009633646,0.006680169,0.9449807,0.0005128364,0.01034137,0.00004329284],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9192212,0.004858783,0.0680455,0.0002021855,0.0001554963,0.0001008556,0.000405606,0.0003395609,0.006670752],"genre_scores_gemma":[0.9414673,0.006271057,0.04681255,0.0001953008,0.00007204256,0.00004267819,0.0003031726,0.00006275789,0.004773078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001119287,"threshold_uncertainty_score":0.003039122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008975205772838718,"score_gpt":0.2004525825779921,"score_spread":0.1914773768051534,"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."}}