{"id":"W2277242164","doi":"10.1139/cjes-2015-0209","title":"Early Telychian (Silurian) marine siliciclastic red beds in the Eastern Yangtze Platform, South China: distribution pattern and controlling factors","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Earth Sciences","topic":"Paleontology and Stratigraphy of Fossils","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; China Geological Survey; National Natural Science Foundation of China; University of Cincinnati","keywords":"Siliciclastic; Red beds; Geology; Paleontology; Oceanography; Monsoon; Sedimentary rock; Sedimentary depositional environment; Structural basin","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002120925,0.0002218676,0.0001443862,0.001155883,0.0003504543,0.0003928787,0.0002078676,0.0001137839,0.0009908935],"category_scores_gemma":[0.0003025782,0.0001608317,0.0001735147,0.001344048,0.000558315,0.0001812794,0.0003276352,0.0001132464,0.0000668321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006329167,"about_ca_system_score_gemma":0.0006087271,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04490365,"about_ca_topic_score_gemma":0.1082863,"domain_scores_codex":[0.9998975,0.0000112792,0.00001281358,0.00003347633,0.00001778403,0.0000272155],"domain_scores_gemma":[0.9998041,0.00003006293,0.00005931545,0.00001286256,0.00003640596,0.00005730625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002215292,0.000006581661,0.9936948,0.00002071649,0.00004649329,0.0001257935,0.0004761138,0.0001594145,0.001812626,0.0001215922,0.00006042971,0.003453366],"study_design_scores_gemma":[0.000001195894,0.000004096364,0.9995366,0.000001670297,0.000005172761,0.00002823993,0.0002243163,0.00008195909,0.0000446979,0.0000102909,0.00006052593,0.000001081841],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997751,0.00003567378,0.00001252116,0.000008107206,4.202777e-7,0.00000122264,0.00004323845,0.000001324393,0.0001222379],"genre_scores_gemma":[0.9998641,0.00002102044,0.000012555,0.00000177196,7.224332e-7,0.000001068944,0.00005346682,4.460709e-7,0.00004483069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04490365,"threshold_uncertainty_score":0.08928454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741303878147534,"score_gpt":0.1975791551936377,"score_spread":0.1801661164121623,"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."}}