{"id":"W4383272352","doi":"10.1016/j.ijrmms.2023.105482","title":"Dynamic response and fracture characteristics of thermally-treated granite under dynamic loading","year":2023,"lang":"en","type":"article","venue":"International Journal of Rock Mechanics and Mining Sciences","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Split-Hopkinson pressure bar; Dynamic loading; Rock mass classification; Fracture toughness; Fracture mechanics; Materials science; Strain rate; Fracture (geology); Dynamic load testing; Composite material; Dynamic range compression; Toughness; Geotechnical engineering; Geology","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":[0.0006587392,0.0001058167,0.0001712688,0.0003752587,0.00008935979,0.0000715711,0.0002268406,0.00005564832,0.000005367127],"category_scores_gemma":[0.00007025536,0.00008922787,0.00004146231,0.0001680068,0.0000086686,0.0001727682,0.00006224286,0.0001178271,6.852695e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002985297,"about_ca_system_score_gemma":0.00003589218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002455594,"about_ca_topic_score_gemma":0.000003035533,"domain_scores_codex":[0.9990778,0.00002158868,0.0003273195,0.0001086236,0.0003235811,0.0001411118],"domain_scores_gemma":[0.9994081,0.0001400379,0.0001816563,0.0000456821,0.0001659392,0.00005863707],"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":[0.0002528411,0.00003055725,0.0002510868,0.00005534343,0.0003105018,0.0001016708,0.002885293,0.6951279,0.280105,0.002395329,0.00005918265,0.01842527],"study_design_scores_gemma":[0.0002400414,0.0001187273,0.0009825953,0.0002039807,0.00001981268,0.0001105556,0.0008200714,0.9944593,0.0007208365,0.002093338,0.0001285839,0.0001021878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9531692,0.0003653597,0.04561779,0.0002115115,0.0005580617,0.0000292708,0.000013218,0.00002275892,0.00001278694],"genre_scores_gemma":[0.9978474,0.001275348,0.0007613793,0.00004726087,0.00002352937,6.497475e-7,0.000002320299,0.0000129801,0.00002915288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2993313,"threshold_uncertainty_score":0.3638607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01234936133102893,"score_gpt":0.2592877567125722,"score_spread":0.2469383953815433,"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."}}