{"id":"W4391316239","doi":"10.58286/29225","title":"Calculations of Temperature and Thermo-Elastic Displacement Distributions Generated by Laser-Ultrasonic Inspection System","year":2024,"lang":"en","type":"article","venue":"e-Journal of Nondestructive Testing","topic":"Ultrasonics and Acoustic Wave Propagation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kinectrics (Canada)","funders":"","keywords":"Ultrasonic sensor; Displacement (psychology); Laser; Ultrasonic testing; Materials science; Heat equation; Acoustics; Optics; Mechanics; Physics; Mathematical analysis; Mathematics","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":[0.000158562,0.0001313729,0.0001699432,0.0001007208,0.0001105501,0.00007410298,0.00005255075,0.00005314648,0.000004843904],"category_scores_gemma":[0.0001367857,0.0001120708,0.00004300966,0.0004017233,0.00004490616,0.0001966975,0.000009569644,0.0002834359,0.000001173813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002229391,"about_ca_system_score_gemma":0.00005832527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009295227,"about_ca_topic_score_gemma":0.000001734049,"domain_scores_codex":[0.9991879,0.00002828374,0.0003805319,0.000106928,0.0001639986,0.0001323476],"domain_scores_gemma":[0.9993165,0.0002182942,0.0001133691,0.00006023154,0.0002283598,0.00006327064],"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":[0.000008334038,0.00002371202,0.001134875,0.0003567537,0.000186542,0.00002294294,0.0002068103,0.04089005,0.9542534,0.001058422,0.0004489424,0.001409154],"study_design_scores_gemma":[0.0007026443,0.0003221956,0.01555428,0.002046845,0.0004310389,0.001869112,0.0009391678,0.9229521,0.05420562,0.0004987681,0.00009064878,0.0003876494],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9541677,0.001388862,0.04346139,0.00002657706,0.0004414721,0.00009922255,0.0001337404,0.0001396933,0.0001414044],"genre_scores_gemma":[0.9964408,0.00003270524,0.003301087,8.46648e-7,0.0001714119,0.000003488174,0.00002067355,0.00002161758,0.000007372235],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9000478,"threshold_uncertainty_score":0.4570116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007452854430044471,"score_gpt":0.2095357074973133,"score_spread":0.2020828530672688,"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."}}