{"id":"W1999043526","doi":"10.1016/j.marpetgeo.2014.08.025","title":"High-resolution sequence stratigraphy of clastic shelves III: Applications to reservoir geology","year":2014,"lang":"en","type":"article","venue":"Marine and Petroleum Geology","topic":"Geological formations and processes","field":"Earth and Planetary Sciences","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Geology; Clastic rock; Facies; Diagenesis; Sequence stratigraphy; Outcrop; Paleontology; Petrology; Sedimentary depositional environment; Sequence (biology); Petroleum reservoir; Geomorphology; Sedimentary rock; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002405598,0.0001194636,0.0002413764,0.0001597718,0.0001509921,0.00001419186,0.0001909235,0.0001071874,0.001616111],"category_scores_gemma":[0.00008178366,0.00009452501,0.00003168868,0.00024385,0.0002435193,0.00009454544,0.00005155896,0.000120476,0.00008191611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001150904,"about_ca_system_score_gemma":0.0000226748,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007251813,"about_ca_topic_score_gemma":0.01866394,"domain_scores_codex":[0.9990209,0.00009262339,0.0002812805,0.0002391122,0.00009313507,0.0002729547],"domain_scores_gemma":[0.9991849,0.0003457527,0.00009141058,0.000186684,0.00007455695,0.00011671],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001044034,0.00002889872,0.9056695,0.00007536833,0.00002172068,0.000001746565,0.00006208443,0.01930782,0.00008941947,0.04014178,0.0002278957,0.03426942],"study_design_scores_gemma":[0.0003304431,0.000888826,0.8857701,0.000004280781,0.00001781086,0.00003019715,0.00005606662,0.01770521,0.00002479934,0.05800724,0.03699978,0.0001652459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9701465,0.0001814541,0.01276503,0.00179746,0.00009524047,0.0001381466,0.00002492915,0.00003881615,0.0148124],"genre_scores_gemma":[0.995714,0.0001213674,0.003128508,0.0003575138,0.00007224627,0.00001352215,0.0001759501,0.000001543606,0.0004153308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03677189,"threshold_uncertainty_score":0.999359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473995064276085,"score_gpt":0.2218171554412595,"score_spread":0.2070772047984986,"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."}}