{"id":"W3181017542","doi":"10.1111/gbi.12462","title":"The Sedimentary Geochemistry and Paleoenvironments Project","year":2021,"lang":"en","type":"article","venue":"Geobiology","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University; University of Victoria; McGill University; Shell (Canada); Yukon University; University of Waterloo; Geological Survey of Canada; University of Saskatchewan; Natural Resources Canada; University of Toronto","funders":"Natural Environment Research Council; British Geological Survey; Sight Research UK; UK Research and Innovation; American Chemical Society Petroleum Research Fund; Villum Fonden; National Science Foundation","keywords":"Sedimentary rock; Data science; Field (mathematics); Geology; Earth science; Computer science; Geochemistry","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":[0.009924089,0.001042129,0.0006395601,0.003806752,0.001283595,0.003848592,0.001875702,0.0008154321,0.006913263],"category_scores_gemma":[0.01581523,0.0004178611,0.0006446184,0.008013347,0.000926414,0.003296791,0.006714341,0.00155083,0.003809502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001595594,"about_ca_system_score_gemma":0.008388656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04182597,"about_ca_topic_score_gemma":0.04806566,"domain_scores_codex":[0.9953375,0.001161549,0.0004487802,0.0008778574,0.00190752,0.0002668232],"domain_scores_gemma":[0.9912592,0.001631816,0.001076347,0.002108022,0.002167242,0.001757397],"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":[0.0004263114,0.000237462,0.05778685,0.000668791,0.0003787602,0.0002201997,0.001578397,0.002337464,0.002494216,0.0406524,0.7010054,0.1922137],"study_design_scores_gemma":[0.0001376819,0.00005878748,0.04916264,0.0002495631,0.0001021689,0.00009380391,0.0006058342,0.002586589,0.002251164,0.01476413,0.9299409,0.00004678386],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03190483,0.0030991,0.05021825,0.01501786,0.0008670409,0.001006972,0.8423883,0.009263248,0.04623434],"genre_scores_gemma":[0.04741837,0.002311672,0.1102366,0.001363807,0.0002219346,0.0009399474,0.8212826,0.001880459,0.01434457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04182597,"threshold_uncertainty_score":0.08316505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008674982903282226,"score_gpt":0.2086557301408651,"score_spread":0.1999807472375829,"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."}}