{"id":"W2069203215","doi":"10.1016/j.enggeo.2015.02.004","title":"A model for characterizing crack closure effect of rocks","year":2015,"lang":"en","type":"article","venue":"Engineering Geology","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":141,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University","funders":"Program for New Century Excellent Talents in University; National Key Research and Development Program of China; China Scholarship Council","keywords":"Closure (psychology); Crack closure; Deformation (meteorology); Geotechnical engineering; Materials science; Compression (physics); Test data; Rock mechanics; Geology; Mechanics; Stress (linguistics); Fracture mechanics; Structural engineering; Composite material; Engineering","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":[0.0002885413,0.0006082919,0.0007924511,0.0006603461,0.0004289995,0.0007632491,0.001431221,0.00239971,0.001847228],"category_scores_gemma":[0.001831777,0.0004292038,0.0007823994,0.0003970604,0.0006353129,0.001018731,0.0006011162,0.0007667654,0.0002975108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006385493,"about_ca_system_score_gemma":0.0008404655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009350062,"about_ca_topic_score_gemma":0.004919638,"domain_scores_codex":[0.9998486,0.00002304204,0.00001005976,0.0000378055,0.0000549909,0.00002554667],"domain_scores_gemma":[0.9994661,0.0002447378,0.00008408067,0.0000602849,0.00009571951,0.00004907657],"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":[0.00001594513,0.00002852044,0.0003689025,0.00003050802,0.000008852553,0.00005839154,0.00002365892,0.9815688,0.00744233,0.007855346,0.0002304326,0.002368255],"study_design_scores_gemma":[0.000002905963,0.000004465596,0.00005022579,0.00000137814,0.000002814405,0.000007844784,0.000001773575,0.9987803,0.0003302461,0.0007128636,0.0001032015,0.000001945177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1669389,0.0005333445,0.8169181,0.0004403069,0.0001010143,0.0001173929,0.000592735,0.0006093949,0.01374878],"genre_scores_gemma":[0.959744,0.0004147147,0.03119896,0.00007586351,0.00004425607,0.0001304576,0.000249054,0.0001242591,0.008018398],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009350062,"threshold_uncertainty_score":0.01859128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609431328763412,"score_gpt":0.2168107475916995,"score_spread":0.2007164343040654,"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."}}