{"id":"W4394192127","doi":"10.6084/m9.figshare.11358350","title":"Dataset for: Simulating a spill of diluted bitumen: Environmental weathering and submergence in a model freshwater system","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weathering; Asphalt; Environmental science; Oil spill; Geology; Geochemistry; Geography; Environmental engineering; Cartography","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001376609,0.0003170748,0.0004172857,0.00006128652,0.00006303396,0.00002518487,0.0004498683,0.0002702052,0.02093115],"category_scores_gemma":[0.0001905472,0.0002826089,0.00005931646,0.00009375992,0.00003660069,0.0001126827,0.0009073158,0.000248679,0.0006353723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002003848,"about_ca_system_score_gemma":0.000009005199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001458155,"about_ca_topic_score_gemma":0.0002032732,"domain_scores_codex":[0.9981948,0.00004346521,0.000428116,0.0006369406,0.0002887852,0.000407886],"domain_scores_gemma":[0.9989946,0.0001161893,0.0002728669,0.0005257186,0.000002481175,0.00008817048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001515771,0.00002945964,0.00008741866,0.0005497169,0.000007819317,0.00001064433,0.0000283554,0.1547485,0.000250292,3.910622e-8,0.8441823,0.00009028634],"study_design_scores_gemma":[0.0002962941,0.00007283581,0.00005774288,0.001377198,0.00001837609,0.000007523753,0.000007531779,0.5654706,0.00005746542,0.000005003527,0.4322993,0.0003300696],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007453433,0.00004272478,0.000004000048,0.000004439249,0.00003066349,0.0006262203,0.9918158,0.00001272112,0.000009988234],"genre_scores_gemma":[0.04721665,0.000002655185,0.0003795192,0.00004062466,0.00002022695,0.0001236676,0.9521765,0.00002579101,0.00001440522],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4118829,"threshold_uncertainty_score":0.9999626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04817013760610227,"score_gpt":0.2581716163113408,"score_spread":0.2100014787052385,"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."}}