{"id":"W2940963808","doi":"10.1130/b35060.1","title":"Radiogenic isotope chemostratigraphy reveals marine and nonmarine depositional environments in the late Mesoproterozoic Borden Basin, Arctic Canada","year":2019,"lang":"en","type":"article","venue":"Geological Society of America Bulletin","topic":"Paleontology and Stratigraphy of Fossils","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; McGill University","funders":"","keywords":"Geology; Sedimentary depositional environment; Paleontology; Chemostratigraphy; Radiogenic nuclide; Proterozoic; Sedimentary rock; Facies; Structural basin; Geochemistry; Diagenesis; Isotopes of carbon; Total organic carbon; Mantle (geology); Tectonics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002841783,0.0001624959,0.0003014398,0.0000157288,0.000110684,0.00001340981,0.0002564244,0.000103777,0.002757131],"category_scores_gemma":[0.00001812,0.0001100371,0.0001224895,0.0001622349,0.0004431948,0.00003623652,0.00001070138,0.000269808,0.0000121687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004662901,"about_ca_system_score_gemma":0.00003622394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.287846,"about_ca_topic_score_gemma":0.03085103,"domain_scores_codex":[0.998691,0.0001657997,0.000278048,0.0002680364,0.0002757428,0.0003213632],"domain_scores_gemma":[0.9993145,0.0003020996,0.0001338673,0.0001658258,0.00000960771,0.00007403096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004727194,0.00003032494,0.9890243,0.00002060571,0.00004448866,0.000008540801,0.00009203365,0.00006132009,0.00009030027,0.000009309035,0.0009931994,0.009578291],"study_design_scores_gemma":[0.0003513821,0.0002405546,0.9934166,0.000008288031,0.00001291106,0.00002742289,0.0001897354,0.000237998,0.00001679794,0.0003900679,0.004975924,0.00013232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834721,0.001279322,0.00002019459,0.008725789,0.00003272929,0.0003271017,0.00003238142,0.000005953924,0.006104394],"genre_scores_gemma":[0.9936339,0.0004531199,0.003053554,0.002682674,0.0000176162,0.000005569068,0.00004299223,8.695824e-7,0.0001097356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.256995,"threshold_uncertainty_score":0.9981545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005017772840078682,"score_gpt":0.1711830990788886,"score_spread":0.1661653262388099,"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."}}