{"id":"W4399183645","doi":"10.3390/pr12061121","title":"A Fractional Creep Model for Deep Coal Based on Conformable Derivative Considering Thermo-Mechanical Damage","year":2024,"lang":"en","type":"article","venue":"Processes","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Shanxi Province; China Postdoctoral Science Foundation","keywords":"Conformable matrix; Creep; Derivative (finance); Materials science; Fractional calculus; Structural engineering; Engineering; Composite material; Mathematics; Applied mathematics; Economics; Financial economics","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":[0.0001045852,0.0001625685,0.0001435118,0.00008346736,0.0001085028,0.0001072119,0.00009211307,0.00007800277,0.00003865252],"category_scores_gemma":[0.00009412398,0.0001533915,0.00005109914,0.0001052677,0.000007295069,0.0002259991,0.00001870767,0.0001654205,0.0000120755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004689727,"about_ca_system_score_gemma":0.0001431621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001819858,"about_ca_topic_score_gemma":0.00001108962,"domain_scores_codex":[0.9992255,0.000003438193,0.0001760328,0.0001988941,0.0001515471,0.0002445729],"domain_scores_gemma":[0.9994909,0.0002329758,0.00001665199,0.00009886672,0.00009911325,0.00006150454],"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":[0.00002875395,0.00001419677,4.5147e-7,0.001120437,0.0000314397,0.000002949923,0.0001951932,0.9916586,0.00255606,0.003152928,0.0001782981,0.001060642],"study_design_scores_gemma":[0.0002323704,0.00003954887,2.052355e-7,0.0001524891,0.0000188133,0.000002729127,0.00006947412,0.9633736,0.02640801,0.007422905,0.002095596,0.0001842352],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0068876,0.0005699979,0.9899908,0.00008757471,0.0002019572,0.000222025,0.00003673867,0.0004450176,0.001558345],"genre_scores_gemma":[0.9893185,0.00006765316,0.009983785,0.0002176629,0.00008803899,0.0001784882,0.00002432326,0.00005699971,0.00006447739],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.982431,"threshold_uncertainty_score":0.6255123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.030213183297777,"score_gpt":0.2594156991056562,"score_spread":0.2292025158078791,"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."}}