{"id":"W2017273516","doi":"10.1016/j.sedgeo.2004.12.012","title":"Microbial mat control on siliciclastic Precambrian sequence stratigraphic architecture: Examples from India","year":2005,"lang":"en","type":"article","venue":"Sedimentary Geology","topic":"Paleontology and Stratigraphy of Fossils","field":"Earth and Planetary Sciences","cited_by":83,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Department of Science and Technology, Ministry of Science and Technology, India; University of Pretoria; Jadavpur University","keywords":"Transgressive; Geology; Marine transgression; Siliciclastic; Paleontology; Aggradation; Precambrian; Proterozoic; Sequence stratigraphy; Sequence (biology); Clastic rock; Sediment; Sedimentology; Sedimentary rock; Facies; Fluvial; Structural basin","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":[0.0001127776,0.0001703381,0.0001677967,0.000466512,0.0003740254,0.0005820215,0.00021792,0.0002017088,0.001147956],"category_scores_gemma":[0.0002895037,0.0001173013,0.0001638267,0.0006374579,0.0006143071,0.0001814295,0.0003441456,0.0001609325,0.0001568537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005240346,"about_ca_system_score_gemma":0.0002120351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01674441,"about_ca_topic_score_gemma":0.0243069,"domain_scores_codex":[0.9999378,0.000008130129,0.000004516561,0.00001378507,0.000009665288,0.00002609513],"domain_scores_gemma":[0.9997746,0.0000665016,0.00004217885,0.00003551985,0.0000528002,0.00002834645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008826277,0.00003332715,0.3502258,0.0002641751,0.0001512608,0.001921964,0.00318253,0.002470624,0.5895557,0.007172897,0.0004063312,0.04373268],"study_design_scores_gemma":[0.000009847037,0.00009169493,0.9590122,0.00002206979,0.00007926821,0.0007823131,0.001488647,0.001287908,0.03285887,0.001252941,0.003094338,0.0000200162],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957101,0.0007124801,0.0002530416,0.00004787973,0.000001876128,0.000001912843,0.000101566,0.00001305634,0.003158062],"genre_scores_gemma":[0.9991139,0.0003209065,0.0001143359,0.000006606015,0.000001238911,7.601907e-7,0.00003189475,0.000004268509,0.0004061248],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01674441,"threshold_uncertainty_score":0.0332939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239071249626011,"score_gpt":0.2114180853272501,"score_spread":0.19902737283099,"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."}}