{"id":"W4410218020","doi":"10.1007/s00603-025-04595-5","title":"Development of a Method to Predict the Nonlinear Mechanical Response of Cemented Paste Backfill to Mining Induced Closure Strains","year":2025,"lang":"en","type":"article","venue":"Rock Mechanics and Rock Engineering","topic":"Tailings Management and Properties","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Closure (psychology); Geotechnical engineering; Nonlinear system; Geology; Structural engineering; Engineering; Forensic engineering; Materials science; Physics","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":[0.000220884,0.0004926778,0.0004062692,0.0003645138,0.0003611193,0.0003747629,0.0007090521,0.0007739747,0.001257853],"category_scores_gemma":[0.0006968633,0.0003024164,0.0004160719,0.0002263968,0.0002397687,0.0003814622,0.0002904617,0.0005153637,0.0004427782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003472927,"about_ca_system_score_gemma":0.001104683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008708461,"about_ca_topic_score_gemma":0.006761625,"domain_scores_codex":[0.9999225,0.000008755173,0.000004452802,0.00001617816,0.00004012497,0.000007930616],"domain_scores_gemma":[0.9997587,0.00009134733,0.00002258527,0.00002586975,0.00008907874,0.00001246485],"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":[0.00005200458,0.0001384433,0.003281846,0.00005973327,0.00004911754,0.0001269267,0.00005108273,0.8511262,0.05979499,0.001786759,0.0005128343,0.08302002],"study_design_scores_gemma":[0.000002904092,0.00001095836,0.0001770403,0.000001121913,0.000002119351,0.000007301382,0.000002876836,0.995078,0.004415789,0.0001008573,0.0001980763,0.000003048866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05747551,0.00004807755,0.939383,0.0000370564,0.00003292924,0.00006938845,0.00009910379,0.001598186,0.001256787],"genre_scores_gemma":[0.6710214,0.00009792601,0.3241014,0.00003085519,0.00002058573,0.0002334146,0.0002434826,0.0002088955,0.004042105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008708461,"threshold_uncertainty_score":0.01731551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526352133188182,"score_gpt":0.2326695657021662,"score_spread":0.2174060443702844,"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."}}