{"id":"W3106909530","doi":"10.4095/326962","title":"SOURCES: a geochemical map of an oil sands plume - initial results","year":2020,"lang":"en","type":"report","venue":"","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Plume; Geology; Oil sands; Geochemistry; Petroleum engineering; Mineralogy; Geomorphology; Environmental science; Hydrology (agriculture); Geotechnical engineering; Archaeology; Geography; Meteorology; Asphalt","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":[0.0002793886,0.0007179713,0.0002761358,0.002947871,0.0004024212,0.0009806985,0.0006045102,0.0004375761,0.05597449],"category_scores_gemma":[0.0006527167,0.0002289201,0.0003764708,0.003222507,0.00008923098,0.0005482683,0.0004401632,0.0003229035,0.02426687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007243455,"about_ca_system_score_gemma":0.001387523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04186409,"about_ca_topic_score_gemma":0.07650755,"domain_scores_codex":[0.999759,0.000009109677,0.000007845239,0.00002399311,0.0001807417,0.00001916983],"domain_scores_gemma":[0.9994734,0.00004949224,0.00001928867,0.00004183114,0.0003689743,0.0000470606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001066216,0.0005129874,0.03194096,0.001191148,0.00009198472,0.0007732734,0.0003180237,0.01379691,0.01548702,0.002153998,0.7193724,0.2132951],"study_design_scores_gemma":[0.0004310815,0.0002106234,0.08811899,0.0003207955,0.0001216293,0.0004312464,0.0006712,0.02816786,0.04331681,0.002257139,0.8358125,0.0001401555],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04014113,0.0003158315,0.008055224,0.0005648035,0.0001341501,0.0006092743,0.8020489,0.01847971,0.129651],"genre_scores_gemma":[0.1737022,0.00103008,0.06908996,0.0001271048,0.00006923077,0.0005193511,0.6627793,0.003451952,0.08923072],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05597449,"threshold_uncertainty_score":0.1872534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0443710620396285,"score_gpt":0.2847566727954512,"score_spread":0.2403856107558227,"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."}}