{"id":"W4213452458","doi":"10.1088/2631-7990/ac57c8","title":"Comparative analysis of single- and multiple-frequency thermal wave radar imaging inspection of glass fiber reinforced polymer (GFRP)","year":2022,"lang":"en","type":"article","venue":"International Journal of Extreme Manufacturing","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Thermography; Fibre-reinforced plastic; Materials science; Radar; Nondestructive testing; Chirp; Glass fiber; Acoustics; Optics; Bandwidth (computing); Computer science; Infrared; Composite material; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003053347,0.0001672933,0.0001747553,0.0005646166,0.00009747446,0.0001764025,0.0001739437,0.0002686191,0.0007531712],"category_scores_gemma":[0.0005964348,0.0001136346,0.0001865423,0.0001790992,0.0002120212,0.0003202754,0.0001481033,0.0001207251,0.0001156103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001181934,"about_ca_system_score_gemma":0.00006601367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004287384,"about_ca_topic_score_gemma":0.000648385,"domain_scores_codex":[0.9998251,0.00001661578,0.000007310317,0.00003857412,0.00008413606,0.00002831332],"domain_scores_gemma":[0.9993485,0.0002156428,0.0001654307,0.00004397399,0.0001929079,0.00003353539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000135032,0.00001544297,0.002041958,0.0000480669,0.000006085426,0.00008599692,0.00003989331,0.0009940873,0.9886884,0.00003619081,0.00002012437,0.007888627],"study_design_scores_gemma":[0.000004436829,0.0007594619,0.05569078,0.000008261616,0.00005065064,0.0003690154,0.00011578,0.02666904,0.9159515,0.00003157778,0.0003355277,0.00001388119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949918,0.0002303164,0.004332425,0.0000092047,0.000003681822,0.000005424733,0.00002070187,0.00005029151,0.000356167],"genre_scores_gemma":[0.9980393,0.00006398668,0.001550335,0.000002644635,0.00000136406,0.000002610717,0.00001886629,0.000006746012,0.0003142083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007531712,"threshold_uncertainty_score":0.002519608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02065048694549093,"score_gpt":0.2275369849614203,"score_spread":0.2068864980159293,"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."}}