{"id":"W3170170135","doi":"10.1139/cgj-2020-0569","title":"2019 Canadian Geotechnical Colloquium: Mitigating a fatal flaw in modern geomechanics: understanding uncertainty, applying model calibration, and defying the hubris in numerical modelling","year":2021,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston Health Sciences Centre","funders":"","keywords":"Geomechanics; Calibration; Field (mathematics); Computer science; Uncertainty quantification; Hubris; Software; Earthquake engineering; Construction engineering; Civil engineering; Risk analysis (engineering); Geotechnical engineering; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0142955,0.001753879,0.0007871662,0.003494387,0.007795511,0.006987684,0.004191339,0.005854541,0.01598375],"category_scores_gemma":[0.02675475,0.0007769335,0.0007484704,0.00380528,0.01196559,0.005016226,0.005835046,0.004856256,0.00250907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04444727,"about_ca_system_score_gemma":0.1098923,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8550801,"about_ca_topic_score_gemma":0.9237616,"domain_scores_codex":[0.9873512,0.001567552,0.0003957457,0.0007109059,0.009009877,0.000964675],"domain_scores_gemma":[0.983081,0.001964016,0.0006869663,0.001706687,0.011432,0.001129237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007945823,0.00005003025,0.003654188,0.0005707997,0.00003716617,0.0003043933,0.002341629,0.01715916,0.002526146,0.2246824,0.5142446,0.23435],"study_design_scores_gemma":[0.00001138377,0.00003693712,0.003265595,0.0006739486,0.00002465078,0.0001178896,0.001105758,0.009952391,0.002221652,0.04523015,0.9372248,0.000134833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01836524,0.05308688,0.250176,0.3988953,0.02937315,0.000412696,0.002298545,0.002034903,0.2453573],"genre_scores_gemma":[0.4283449,0.05621279,0.1705638,0.0288499,0.004129719,0.0003307989,0.002400629,0.001990114,0.3071773],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8550801,"threshold_uncertainty_score":0.322489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0199515281540158,"score_gpt":0.201396100010473,"score_spread":0.1814445718564572,"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."}}