{"id":"W7034626187","doi":"","title":"Tracing the evolution of the earth system through an isotopic record of proterozoic sulfate","year":2018,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Ethnobotanical and Medicinal Plants Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Campus France; Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Mitacs; National Aeronautics and Space Administration; Agouron Institute; McGill University; Fonds Québécois de la Recherche sur la Nature et les Technologies; National Science Foundation","keywords":"Snowball Earth; Proterozoic; Geologic record; Sedimentary rock; Evaporite; Earth system science; Earth (classical element); Precambrian; Deglaciation","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":[0.0001227161,0.000115881,0.0001112989,0.0009458506,0.0003650916,0.0005050198,0.0001087298,0.000116646,0.0005598168],"category_scores_gemma":[0.0001698828,0.0001037744,0.00008553846,0.001170442,0.0002097571,0.0002248799,0.0002484157,0.0001626818,0.0001580588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003569512,"about_ca_system_score_gemma":0.0002310685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01324243,"about_ca_topic_score_gemma":0.0337666,"domain_scores_codex":[0.9999672,0.000002710734,0.000001949361,0.00001167292,0.00001001497,0.000006418697],"domain_scores_gemma":[0.9999328,0.000005623824,0.00002000222,0.000005821116,0.00002540552,0.00001033651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001729609,0.0000214618,0.8302107,0.00004932509,0.00005353983,0.0001995819,0.002036806,0.0003500186,0.1398391,0.001068919,0.0003944096,0.02560328],"study_design_scores_gemma":[0.000001502699,0.00002864785,0.9918698,0.000009999793,0.00001161095,0.00007954997,0.0004983275,0.0001599233,0.004223152,0.000131541,0.002981958,0.000003849066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968046,0.0002174876,0.0002304117,0.00002847318,0.000002520315,0.000002828374,0.0005885175,0.00000764653,0.002117477],"genre_scores_gemma":[0.9970783,0.0005008164,0.0006441652,0.00002288792,0.000004754449,0.000003480526,0.0005597952,0.000008525594,0.001177314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01324243,"threshold_uncertainty_score":0.02633071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02556358546160272,"score_gpt":0.2349466742667489,"score_spread":0.2093830888051462,"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."}}