{"id":"W3021095664","doi":"","title":"Strength Degradation Approach (SDA) for Estimation of Confined Strength of Micro-Defected Rocks","year":2016,"lang":"en","type":"article","venue":"50th U.S. Rock Mechanics/Geomechanics Symposium","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Laurentian University; University of Toronto","funders":"","keywords":"Degradation (telecommunications); Mechanical strength; Compressive strength; Environmental science; Materials science; Composite material; Computer science","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":[0.0004650103,0.0004938537,0.0004837628,0.001278024,0.0002094595,0.0004139494,0.0007510454,0.0005917329,0.001198833],"category_scores_gemma":[0.001297817,0.0002459173,0.0007337068,0.0005728962,0.0002769046,0.00044527,0.0005954482,0.00064109,0.0005093657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002894571,"about_ca_system_score_gemma":0.0006032159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003827466,"about_ca_topic_score_gemma":0.003569983,"domain_scores_codex":[0.9997234,0.00004816903,0.0000199722,0.00006566807,0.0001161986,0.0000265153],"domain_scores_gemma":[0.9993834,0.0002350053,0.00008069468,0.00006819883,0.0002054859,0.00002716855],"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":[0.0002251914,0.0001902972,0.01611416,0.0004018915,0.000232185,0.0002353832,0.0001645632,0.4384546,0.08696112,0.004649482,0.001958925,0.4504122],"study_design_scores_gemma":[0.00000353772,0.00003648956,0.00169675,0.000006451759,0.000009981297,0.00006293903,0.00001350217,0.9932657,0.003793611,0.0006694569,0.0004328945,0.000008528992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05137073,0.0004746638,0.9460904,0.00005267694,0.00003257208,0.00004906089,0.0001965067,0.0006240931,0.001109375],"genre_scores_gemma":[0.695054,0.0004182332,0.3018137,0.00006492828,0.00004497866,0.0001664723,0.0005241011,0.00006627078,0.001847339],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003827466,"threshold_uncertainty_score":0.007610321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123548300670066,"score_gpt":0.2114532795504696,"score_spread":0.1990984494834629,"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."}}