{"id":"W2997134666","doi":"10.1002/9781119300762.wsts0180","title":"The 2010 Marshall, Michigan Tar Sands Oil Spill","year":2019,"lang":"en","type":"other","venue":"Encyclopedia of Water","topic":"Ecocriticism and Environmental Literature","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oil sands; Gallon (US); Tributary; Environmental science; Oil spill; Crude oil; Asphalt; Hydrology (agriculture); Archaeology; Environmental protection; Waste management; Geology; Geography; Petroleum engineering; Engineering; Geotechnical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000135288,0.000265273,0.00007140907,0.0009478263,0.00309923,0.001967508,0.0002578476,0.000852433,0.07741815],"category_scores_gemma":[0.0004766965,0.00008374155,0.00006434249,0.0009707018,0.0006655792,0.0009089095,0.001262609,0.0005088708,0.009874805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002981556,"about_ca_system_score_gemma":0.002313718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06603632,"about_ca_topic_score_gemma":0.3106194,"domain_scores_codex":[0.9999084,0.00001140248,0.000003913791,0.00001090164,0.00004979084,0.00001544123],"domain_scores_gemma":[0.9999133,0.0000147407,0.00001411946,0.000005355394,0.00003109989,0.00002134569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002258504,0.00001999007,0.0008976037,0.0001599078,0.000001943451,0.0004543263,0.0009701092,0.00003659686,0.0004832525,0.006838488,0.9126242,0.07749096],"study_design_scores_gemma":[7.325444e-7,0.000004484649,0.001641627,0.0001303441,6.934415e-7,0.00008309536,0.000820913,0.00000911999,0.0001677003,0.0003082522,0.9968309,0.000002191665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01558597,0.02012507,0.0001286502,0.03296627,0.002385936,0.00004356558,0.00339261,0.0001785252,0.9251934],"genre_scores_gemma":[0.06495862,0.02568284,0.0003051693,0.003929995,0.001042768,0.00005670045,0.001012446,0.00005034081,0.9029611],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07741815,"threshold_uncertainty_score":0.2589895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005685091262764351,"score_gpt":0.1754639160579972,"score_spread":0.1697788247952328,"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."}}