{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006629615,0.00003473702,0.00007355735,0.0002823516,0.00002473005,0.00004964451,0.00008858893,0.00001300439,0.00004851196],"category_scores_gemma":[0.0001732346,0.00002594193,0.000006616237,0.0002886025,0.0000724932,0.0004548681,0.00002863116,0.000104798,0.000001330056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005315651,"about_ca_system_score_gemma":0.00003316861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006471193,"about_ca_topic_score_gemma":0.000113624,"domain_scores_codex":[0.9994283,0.000005019045,0.0001321424,0.000053489,0.0002529134,0.0001281189],"domain_scores_gemma":[0.9996927,0.00005969416,0.00003345835,0.0000312477,0.0001000305,0.0000828691],"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":[0.00001017117,0.000007241649,0.144629,0.00006906034,0.000004052763,0.000009550993,0.0001811667,0.05679959,0.121107,0.000002330984,0.000004552801,0.6771762],"study_design_scores_gemma":[0.0001232784,0.00009213085,0.6448396,0.00002339212,0.000001589931,0.00007743637,0.00006485898,0.3505522,0.004064051,0.00008017377,0.00004448614,0.00003687552],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982718,0.00005722928,0.0009927594,0.00005975419,0.00006493098,0.00001317971,2.272813e-7,0.000001539535,0.0005385618],"genre_scores_gemma":[0.9978213,0.0001703479,0.00195811,0.000005291971,0.00002328879,7.293992e-8,6.108151e-8,7.447015e-7,0.00002078223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6771394,"threshold_uncertainty_score":0.1057881,"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."}}