{"id":"W2767023153","doi":"","title":"Contributions to Tensor-based Stress Variability Characterisation in Rock Mechanics","year":2017,"lang":"en","type":"dissertation","venue":"TSpace (University of Toronto)","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Waterloo; University of Toronto","keywords":"Rock mechanics; Stress (linguistics); Geotechnical engineering; Geology; Cauchy stress tensor; Geomechanics; Tensor (intrinsic definition); Mathematics; Classical mechanics; Physics; Geometry; Philosophy; Linguistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001929174,0.0001954069,0.0003653023,0.00007895824,0.0001532644,0.0000187015,0.0003266323,0.0003279255,0.0009633133],"category_scores_gemma":[0.00006997129,0.0002830896,0.0001048086,0.00003567919,0.000002068844,0.0002299571,0.0000235898,0.0001865069,0.00001061899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000708904,"about_ca_system_score_gemma":0.0001297763,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03126926,"about_ca_topic_score_gemma":0.1056333,"domain_scores_codex":[0.9991794,0.00003196855,0.0001362421,0.0002546255,0.0001760468,0.0002217684],"domain_scores_gemma":[0.999072,0.00002805843,0.0001388608,0.0004332477,0.0002270213,0.0001008515],"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":[0.001187281,0.0006321286,0.0002540248,0.003169632,0.0005463337,0.00006022582,0.03213187,0.7443843,0.1285987,0.009693021,0.001345371,0.07799704],"study_design_scores_gemma":[0.001212081,0.0001086087,0.0256344,0.0007169305,0.0001734221,3.527183e-7,0.006139696,0.9599064,0.003764019,0.0001888777,0.001374171,0.0007810297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6353278,0.0003265049,0.3334791,0.0004265519,0.002088578,0.001621024,0.001604865,0.0003573689,0.02476825],"genre_scores_gemma":[0.9976647,0.0001288214,0.0004488415,0.000005021103,0.00003256937,0.000001881507,0.0006314483,0.00002470564,0.001062028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3623369,"threshold_uncertainty_score":0.9999622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102720589269548,"score_gpt":0.240246477642808,"score_spread":0.2299744187158532,"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."}}