{"id":"W4281716454","doi":"10.2110/palo.2020.028","title":"ICHNOLOGY OF MUDDY SHALLOW-WATER CONTOURITES FROM THE UPPER JURASSIC–LOWER CRETACEOUS VACA MUERTA FORMATION, ARGENTINA: IMPLICATIONS FOR TRACE-FOSSIL MODELS","year":2022,"lang":"en","type":"article","venue":"Palaios","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Universidad Nacional de Río Negro; International Association of Sedimentologists; LOEWE Zentrum AdRIA; Consejo Nacional de Investigaciones Científicas y Técnicas; Society for Sedimentary Geology","keywords":"Bioturbation; Geology; Sedimentary depositional environment; Facies; Trace fossil; Paleontology; Cretaceous; Turbidity current; Outcrop; Ichnology; Waves and shallow water; Sediment; Oceanography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001960557,0.0002941952,0.0002191987,0.001889398,0.0004924064,0.0006819314,0.0004757491,0.0002519613,0.002949965],"category_scores_gemma":[0.0004779739,0.0001396032,0.000182367,0.001815741,0.0004170981,0.0003535444,0.0004180917,0.0001630609,0.0002380929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00119257,"about_ca_system_score_gemma":0.000320738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1303649,"about_ca_topic_score_gemma":0.1774394,"domain_scores_codex":[0.999928,0.000008281818,0.000005970623,0.00002689966,0.0000147714,0.00001608303],"domain_scores_gemma":[0.9998183,0.00002368547,0.00005456651,0.00001534128,0.00006477944,0.00002333339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001420998,0.0000272919,0.9519808,0.0001375068,0.00007640003,0.0003091936,0.0009842076,0.003049608,0.004629311,0.0004117558,0.0004945463,0.03775725],"study_design_scores_gemma":[0.000002737361,0.000009231216,0.9957742,0.00002488782,0.0000133221,0.0000450833,0.0002581482,0.002667007,0.0001075973,0.00006480335,0.001029912,0.00000302337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926877,0.0008813805,0.0006809904,0.00006676102,0.000009117882,0.00000937848,0.001171704,0.00006078324,0.004432247],"genre_scores_gemma":[0.9986898,0.0002244246,0.0002288863,0.000004068493,0.000004210779,0.000004389778,0.0004423459,0.00001041835,0.0003914182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1303649,"threshold_uncertainty_score":0.2592123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02819555183020904,"score_gpt":0.2236857043569516,"score_spread":0.1954901525267426,"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."}}