{"id":"W3035530925","doi":"10.3390/app10124095","title":"An Advanced Shear Strength Criterion for Rock Discontinuities Considering Size and Low Shear Rate","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Classification of discontinuities; Shear (geology); Shear rate; Direct shear test; Geotechnical engineering; Shear strength (soil); Geology; Rock mass classification; Triaxial shear test; Materials science; Mechanics; Mathematics; Composite material; Physics; Rheology; Mathematical analysis","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014462,0.0001134412,0.0001446069,0.00002240613,0.0002054795,0.0001422529,0.0001162342,0.00002931508,0.000008017684],"category_scores_gemma":[0.00002699081,0.0001049061,0.00001877767,0.00008500279,0.00002671449,0.0002294268,0.00003048079,0.00005775577,0.000001706377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006797873,"about_ca_system_score_gemma":0.00001505934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002369058,"about_ca_topic_score_gemma":0.000004815447,"domain_scores_codex":[0.9992764,0.000005288044,0.000140702,0.0002538592,0.00008980073,0.000233928],"domain_scores_gemma":[0.9997087,0.0000863539,0.00001884667,0.0000713268,0.0000126238,0.0001021256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000145799,0.000005390087,0.000004539689,0.00009557059,0.000006079472,6.593456e-7,0.002066506,0.1985221,0.7874308,0.004163079,0.00004765534,0.007643011],"study_design_scores_gemma":[0.0002687818,0.00008709466,0.0000135561,0.00002219663,0.00000562573,6.823128e-7,0.002215643,0.8916319,0.1035699,0.001499827,0.000498459,0.0001863811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9315927,0.0001780828,0.06716564,0.0001566586,0.0001197173,0.000220437,0.000009807946,0.0001681507,0.0003887849],"genre_scores_gemma":[0.9876649,0.00005029292,0.01197627,0.0001814212,0.00007112107,0.00003183027,0.000001568306,0.00001506251,0.000007488233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6931098,"threshold_uncertainty_score":0.4277947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0185575305260369,"score_gpt":0.2389000046669069,"score_spread":0.22034247414087,"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."}}