{"id":"W4293240678","doi":"10.2110/jsr.2020.183","title":"Influence of channelized-flow density structure on the stratal architecture of deep-marine levee deposits","year":2022,"lang":"en","type":"article","venue":"Journal of Sedimentary Research","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Geology; Turbidite; Sedimentary depositional environment; Levee; Sedimentary rock; Paleontology; Thickening; Stratigraphy; Sedimentary structures; Division (mathematics); Channelized; Geomorphology; Geochemistry; Tectonics; Geotechnical engineering","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":[0.001179143,0.00007965865,0.0001793128,0.0001865011,0.0003384143,0.00001665069,0.0005361103,0.00003026747,0.003795016],"category_scores_gemma":[0.000115374,0.00004454734,0.00006237057,0.0004861008,0.0001738831,0.0001386068,0.0001001371,0.0008644013,0.000002769347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000855016,"about_ca_system_score_gemma":0.0001007442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006689286,"about_ca_topic_score_gemma":0.0004984385,"domain_scores_codex":[0.9978737,0.0003228092,0.0003522983,0.00008957618,0.001146406,0.0002151897],"domain_scores_gemma":[0.9987358,0.0005603015,0.0002136411,0.0001324079,0.0002740478,0.00008373558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001188178,0.0001086375,0.2544052,0.00009882081,0.0001121259,0.00006672383,0.001161743,0.7172801,0.002756065,0.00008498404,0.0004894344,0.02224796],"study_design_scores_gemma":[0.0007157943,0.005202457,0.951222,0.00005175866,0.00002870699,0.0005062754,0.00236654,0.003020512,0.02297,0.01315376,0.0006178229,0.0001443768],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977984,0.0002952258,0.00001148859,0.001325436,0.00006487677,0.0001258323,0.000111334,0.000001813745,0.0002655265],"genre_scores_gemma":[0.9992442,0.00004373535,0.0004323929,0.0001791892,0.00005662039,4.39511e-7,0.00002724559,0.000001558715,0.00001459554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7142596,"threshold_uncertainty_score":0.9971157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02856158150458075,"score_gpt":0.2678542338684636,"score_spread":0.2392926523638828,"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."}}