{"id":"W2319231791","doi":"10.1142/9789814689977_0171","title":"GEOLOGICAL MODELS OF SHALLOW MARINE DEPOSITIONAL SYSTEMS: SAND RESOURCES OF THE U.S. INNER CONTINENTAL SHELF","year":2015,"lang":"en","type":"article","venue":"","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Bureau of Ocean Energy Management; U.S. Geological Survey; Canada Excellence Research Chairs, Government of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Continental shelf; Geology; Sedimentary depositional environment; Oceanography; Geomorphology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000122901,0.0002493323,0.0002594458,0.0005274141,0.0004091142,0.001025368,0.0008495087,0.0007443247,0.003047524],"category_scores_gemma":[0.0006922883,0.0003725226,0.000425061,0.001206167,0.0003893,0.0006338026,0.000515689,0.000330938,0.0002894124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00148173,"about_ca_system_score_gemma":0.001598167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2720174,"about_ca_topic_score_gemma":0.2699331,"domain_scores_codex":[0.9999523,0.00001544829,0.000004806494,0.00001200661,0.000005381216,0.00001012902],"domain_scores_gemma":[0.9998311,0.00005075786,0.00002893889,0.000019089,0.00003237221,0.00003768102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004097564,0.00003217807,0.02456965,0.00002052497,0.00005623693,0.00006069313,0.00009167178,0.9661607,0.0002086246,0.004590809,0.001291351,0.002876564],"study_design_scores_gemma":[0.000051119,0.00001758691,0.01931974,0.00002130802,0.00004511115,0.00002663742,0.000282838,0.9732634,0.0001050181,0.004307354,0.002539523,0.00002047487],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983595,0.0003422087,0.002701684,0.0007825929,0.00002140588,0.00001086154,0.004623357,0.0001672404,0.007755458],"genre_scores_gemma":[0.997004,0.0001957292,0.0008253191,0.00002939004,0.000006036696,0.00001058376,0.0007363074,0.00002038648,0.001172191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2720174,"threshold_uncertainty_score":0.540868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01783148954092711,"score_gpt":0.2014495059825688,"score_spread":0.1836180164416417,"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."}}