{"id":"W3172877952","doi":"10.1139/cgj-2021-0004","title":"Uncertainty quantification of in situ horizontal stress with pressuremeter using a statistical inverse analysis method","year":2021,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta; Energi Simulation","keywords":"Geotechnical engineering; Uncertainty quantification; Inverse; Geology; Mathematics; Statistics; Geometry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001983153,0.0007975967,0.0006468105,0.0009536657,0.0003136568,0.0009462306,0.0008592085,0.0006574795,0.0008060145],"category_scores_gemma":[0.004777711,0.0004253374,0.0007247239,0.0006319315,0.0009311767,0.0007335809,0.001029386,0.0008179531,0.0001478616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000599084,"about_ca_system_score_gemma":0.001781695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002884645,"about_ca_topic_score_gemma":0.002252375,"domain_scores_codex":[0.9986842,0.0004569351,0.00007685386,0.0001912975,0.0005320682,0.00005859656],"domain_scores_gemma":[0.9977232,0.001407205,0.0003019072,0.0001454178,0.0003925595,0.00002974487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004237688,0.00005325699,0.001102818,0.0001012105,0.00005323658,0.00004955362,0.0000753729,0.9067023,0.0143425,0.01122356,0.0002927069,0.06596105],"study_design_scores_gemma":[0.00000183931,0.00001599279,0.0001923891,0.000003241416,0.000004319545,0.000010905,0.000004489176,0.9958444,0.002250962,0.001452586,0.0002122058,0.00000659058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004286324,0.00001895345,0.9952924,0.00002132187,0.000003428723,0.00001127793,0.00001317326,0.0000840422,0.0002690138],"genre_scores_gemma":[0.4248497,0.0001509247,0.5734583,0.00005835541,0.00002601298,0.0002351238,0.0001282943,0.0001026452,0.0009905243],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002884645,"threshold_uncertainty_score":0.01048803,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0883433225702943,"score_gpt":0.3438401497572297,"score_spread":0.2554968271869354,"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."}}