{"id":"W2943670463","doi":"","title":"A Novel Method for Constructing Confidence Intervals for In Situ Stress","year":2018,"lang":"en","type":"article","venue":"ISRM International Symposium - 10th Asian Rock Mechanics Symposium","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Stress (linguistics); Computer science; Linguistics; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008839727,0.001701122,0.002267354,0.004146073,0.0008456752,0.00293571,0.004293269,0.001949908,0.004048885],"category_scores_gemma":[0.05553206,0.00112982,0.002076168,0.002855588,0.001220348,0.00220963,0.00288148,0.003740522,0.001382158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005805835,"about_ca_system_score_gemma":0.001404079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002783042,"about_ca_topic_score_gemma":0.002310829,"domain_scores_codex":[0.9928139,0.002327448,0.0005028358,0.001428779,0.002655181,0.0002719193],"domain_scores_gemma":[0.9501936,0.03791954,0.002291942,0.003864519,0.005183968,0.0005462766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005588026,0.0002681424,0.005732746,0.0006093634,0.0007810819,0.0004583696,0.0004782049,0.2595747,0.02003412,0.05943044,0.004288041,0.6477859],"study_design_scores_gemma":[0.00005897599,0.0001128892,0.00131524,0.00005555069,0.0001062404,0.0003423549,0.00003780566,0.959668,0.005997258,0.02875327,0.003472844,0.00007959644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005827398,0.00003837672,0.9989933,0.0000098152,0.00001251282,0.00001127407,0.00002908126,0.000217595,0.000105392],"genre_scores_gemma":[0.06032136,0.0001404493,0.9376749,0.00006086408,0.000142845,0.000183799,0.0004759867,0.0002748821,0.0007250779],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008839727,"threshold_uncertainty_score":0.04674947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05202566950004682,"score_gpt":0.3531521375160873,"score_spread":0.3011264680160404,"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."}}