{"id":"W2943754646","doi":"10.1190/tle38050374.1","title":"Thermal effective stress in shales","year":2019,"lang":"en","type":"article","venue":"The Leading Edge","topic":"Seismic Imaging and Inversion Techniques","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"OPKO Health (Canada); Petro-Canada","funders":"","keywords":"Oil shale; Scaling; Thermal; Effective stress; Thermal expansion; Stress (linguistics); Geology; Pore water pressure; Core (optical fiber); Matrix (chemical analysis); Geomechanics; Calibration; Mechanics; Geotechnical engineering; Materials science; Geometry; Mathematics; Thermodynamics; Composite material; Physics; Statistics","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":[0.0002701523,0.00005928267,0.00007852155,0.00004639689,0.00004465497,0.00002376936,0.0001927681,0.00002619927,0.0005135676],"category_scores_gemma":[0.00001431228,0.00003595567,0.00002380276,0.00009779976,0.00004599049,0.00009517385,0.000008680507,0.0001383476,0.001821833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004185942,"about_ca_system_score_gemma":0.000007394351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001388655,"about_ca_topic_score_gemma":0.0000569221,"domain_scores_codex":[0.9995274,0.00007352147,0.00006023834,0.0001082448,0.00007678096,0.0001538479],"domain_scores_gemma":[0.9996338,0.0001884343,0.00002155344,0.0001322802,0.000006238683,0.00001765899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000182889,0.000006749211,0.8373735,0.00001246697,0.000005104212,0.000003932721,0.001029746,0.0006786206,0.0004388137,0.00008395497,0.004151488,0.1561973],"study_design_scores_gemma":[0.0004428664,0.0001734447,0.8787239,0.0001901735,0.000009143636,0.000008506533,0.0007158463,0.0563147,0.02850591,0.00131143,0.0332904,0.0003136564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9406205,0.0002002432,0.00001373325,0.0004526603,0.0002427846,0.0001490355,0.000005284345,0.00006348753,0.0582523],"genre_scores_gemma":[0.9975786,0.000008528578,0.00004474025,0.0007687075,0.00005580545,9.139987e-7,0.000006857094,0.000002027289,0.001533887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1558837,"threshold_uncertainty_score":0.9989554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042318259907888,"score_gpt":0.2206116596007027,"score_spread":0.2101884770016238,"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."}}