{"id":"W4406204989","doi":"10.1016/j.engfracmech.2025.110811","title":"Spatiotemporal early prediction of rock damage in rock engineering based on infrared radiation monitoring technology","year":2025,"lang":"en","type":"article","venue":"Engineering Fracture Mechanics","topic":"Rock Mechanics and Modeling","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geomechanica (Canada)","funders":"National Key Research and Development Program of China; King Saud University; China University of Mining and Technology; National Natural Science Foundation of China","keywords":"Infrared; Mining engineering; Geology; Forensic engineering; Geotechnical engineering; Engineering; Remote sensing; Optics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001812203,0.0003225066,0.0003455326,0.001276748,0.0000363882,0.00002628912,0.0002283622,0.0004290152,0.000005707765],"category_scores_gemma":[0.0001276046,0.0003877645,0.00007779833,0.0009155317,8.160191e-7,0.0001660304,0.00003764711,0.0006637768,0.000002889997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002715501,"about_ca_system_score_gemma":0.00003698555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009109072,"about_ca_topic_score_gemma":0.000001011073,"domain_scores_codex":[0.9986239,0.000009496074,0.0004958322,0.0002768984,0.0002267356,0.0003671057],"domain_scores_gemma":[0.9993573,0.00006774213,0.00006282325,0.0003928934,0.00005954783,0.00005971376],"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":[0.000009124661,0.00002239531,0.0002513904,0.0002016505,0.00002737423,0.0000041754,0.00007454528,0.9708918,0.02663696,0.001181659,0.00002826193,0.0006706566],"study_design_scores_gemma":[0.0004840304,0.00006017902,0.0007723913,0.0005124671,0.00001670596,5.292718e-7,0.00001524347,0.8743257,0.122462,0.0002055787,0.0009421061,0.0002031327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1147181,0.0003437649,0.8825258,0.00003979012,0.001389558,0.00027147,0.00001562472,0.0006438394,0.0000519851],"genre_scores_gemma":[0.9954612,0.00005197082,0.00418518,0.00001446933,0.0001070326,0.00005560226,0.00002746749,0.00007609359,0.00002102275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.880743,"threshold_uncertainty_score":0.9998574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003991594482345501,"score_gpt":0.1860518617079114,"score_spread":0.1820602672255658,"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."}}