{"id":"W2945181660","doi":"10.36487/acg_rep/1910_33_liu","title":"Required strength evaluation model and its application for vertically exposed backfill: inspired by Mitchell’s physical model tests","year":2019,"lang":"en","type":"article","venue":"Paste/Paste","topic":"Tailings Management and Properties","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Computer science; Geotechnical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002015404,0.0002256561,0.0002292668,0.00005958309,0.00005462397,0.00005283044,0.0001487934,0.00008486486,0.000008031443],"category_scores_gemma":[0.00003719057,0.0002181056,0.0000560001,0.00009628962,0.00001774622,0.0003543632,0.00005000167,0.00008912093,0.00006721733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000587447,"about_ca_system_score_gemma":0.00002262128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001556031,"about_ca_topic_score_gemma":0.000003591136,"domain_scores_codex":[0.9987954,0.00001909704,0.0002536523,0.0003391389,0.0002946417,0.0002980859],"domain_scores_gemma":[0.9994301,0.00005536708,0.00005241991,0.0002622895,0.0001167717,0.00008310763],"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":[0.00008698107,0.00006054385,0.00008272156,0.0003033853,0.00005435503,5.715025e-8,0.0006790825,0.4739924,0.495104,0.0006718733,0.0006683284,0.02829621],"study_design_scores_gemma":[0.001179264,0.00007648261,0.00004943925,0.00003229893,0.00007954844,1.585835e-7,0.00004943245,0.976715,0.02014978,0.001059262,0.000343112,0.0002662341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715389,0.000366593,0.02340807,0.0001174719,0.00007508996,0.001524107,0.00003713355,0.0002324356,0.00270017],"genre_scores_gemma":[0.9975885,0.00002879314,0.0009316235,0.00004828432,0.00006331936,0.0003383089,0.00009713967,0.00006033403,0.0008437128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5027226,"threshold_uncertainty_score":0.8894088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02531487625287395,"score_gpt":0.2407098984441526,"score_spread":0.2153950221912787,"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."}}