{"id":"W4415757277","doi":"10.1016/j.icheatmasstransfer.2025.109951","title":"A stochastic photoacoustic thermo-hydro-mechanical photoelastic wave propagation investigation in poro-semiconductors materials","year":2025,"lang":"en","type":"article","venue":"International Communications in Heat and Mass Transfer","topic":"Thermoelastic and Magnetoelastic Phenomena","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Randomness; White noise; Noise (video); Poromechanics; Stochastic modelling; Nonlinear system; Stochastic process; Wave propagation; Gaussian","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":[0.0002407793,0.0002014408,0.0002324603,0.0004235836,0.0000565091,0.00005449902,0.0003605283,0.0001222853,0.0001073254],"category_scores_gemma":[0.0000857444,0.0002085408,0.00002920532,0.0002867473,0.0001350972,0.0001953831,0.00005915872,0.0002955462,0.000006444958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002338993,"about_ca_system_score_gemma":0.00005680817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007494869,"about_ca_topic_score_gemma":0.0001585777,"domain_scores_codex":[0.9987986,0.00008302345,0.0005349561,0.0002246651,0.0001450888,0.000213638],"domain_scores_gemma":[0.9991803,0.000331236,0.00001368724,0.0003689349,0.00005301435,0.00005286985],"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":[0.0001017619,0.0001358652,0.000396959,0.0001345971,0.00009366676,0.00000471983,0.00138122,0.02198501,0.9258882,0.04831883,0.00002240583,0.001536757],"study_design_scores_gemma":[0.003812541,0.0001070558,0.0144572,0.001185977,0.0001326705,0.00002663813,0.0007436912,0.8812888,0.03466692,0.06225039,0.0005136998,0.0008143607],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9056899,0.0004022041,0.08844604,0.0004957751,0.000708673,0.0006536884,0.00006783722,0.0001357035,0.003400214],"genre_scores_gemma":[0.9985153,0.0002357383,0.0006410087,0.00008508329,0.00002646272,0.000308493,0.0001045263,0.00002501684,0.00005836878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8912213,"threshold_uncertainty_score":0.8504047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02034816316378298,"score_gpt":0.2406172637386951,"score_spread":0.2202691005749121,"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."}}