{"id":"W2967953028","doi":"10.1190/int-2018-0146.1","title":"Overburden characterization with formation pore pressure and anisotropic stress field estimation in the Athabasca Basin, Canada","year":2019,"lang":"en","type":"article","venue":"Interpretation","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geology; Overburden; Pore water pressure; Transverse isotropy; Biot number; Overburden pressure; Caprock; Stress field; Stress (linguistics); Geotechnical engineering; Borehole; Effective stress; Mineralogy; Anisotropy; Mechanics; Engineering; Finite element method","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001607358,0.0003768525,0.0002823908,0.002127762,0.001517498,0.0009343792,0.0008104391,0.0002589352,0.0008387071],"category_scores_gemma":[0.00055944,0.0002129885,0.0002603249,0.003339411,0.0004802155,0.0002326724,0.000502786,0.0002049086,0.0001099258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00836506,"about_ca_system_score_gemma":0.007857499,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9859303,"about_ca_topic_score_gemma":0.9943637,"domain_scores_codex":[0.9997422,0.000009768107,0.00001114143,0.00004732131,0.0001116779,0.00007795984],"domain_scores_gemma":[0.9996941,0.00001936089,0.00003454224,0.00001233645,0.0001930908,0.00004661244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002030071,0.0001107443,0.880089,0.00008675075,0.0001303169,0.0007684031,0.001573177,0.03406411,0.02075415,0.0007080678,0.001276166,0.06023612],"study_design_scores_gemma":[0.00001045501,0.00001452918,0.9619844,0.00001727683,0.00002736765,0.00007102446,0.001363066,0.03328321,0.001491375,0.0001084732,0.001597263,0.00003156516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967229,0.0001049022,0.000513052,0.00005105522,0.000001909377,0.00001887784,0.0008560401,0.00004286957,0.001688371],"genre_scores_gemma":[0.997948,0.00007545819,0.0008891669,0.000007747526,9.431553e-7,0.000007169939,0.0004885069,0.000007402611,0.0005755093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01406974,"threshold_uncertainty_score":0.06069309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00281322960382475,"score_gpt":0.1762418105820796,"score_spread":0.1734285809782549,"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."}}