{"id":"W4377108108","doi":"10.3390/app13106135","title":"Detection and Characterization of Artificial Porosity and Impact Damage in Aerospace Carbon Fiber Composites by Pulsed and Line Scan Thermography","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fédération Wallonie-Bruxelles","keywords":"Thermography; Nondestructive testing; Materials science; Aerospace; Composite material; Composite number; Infrared; Optics; Engineering; Aerospace engineering","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":[0.0002110989,0.00007971351,0.0001050183,0.0001750052,0.00006064678,0.00003465126,0.00003648768,0.00004537414,0.000002400891],"category_scores_gemma":[0.000001753525,0.00007001821,0.0000102905,0.0006184033,0.0001972861,0.00005913693,0.00001598393,0.00005367456,3.964497e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000401705,"about_ca_system_score_gemma":0.000002754642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001214912,"about_ca_topic_score_gemma":0.00006556868,"domain_scores_codex":[0.9995732,0.00001061419,0.00009819468,0.0001320845,0.00007336216,0.0001125059],"domain_scores_gemma":[0.9998592,0.00003545198,0.00002746266,0.00004211159,0.000005786015,0.00002998672],"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":[0.000009787034,0.000005236036,0.008473502,0.00001743828,0.00000373989,1.622178e-7,0.0002710022,0.00005451354,0.9827785,0.00001014894,0.000001133593,0.008374874],"study_design_scores_gemma":[0.00007984487,0.00006292305,0.4286784,0.00001388853,0.000006586875,7.744667e-7,0.00007588839,0.01875697,0.5519817,0.0002450951,0.000002620388,0.00009531475],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992913,0.00006033343,0.0001820978,0.000007782328,0.00001544705,0.0001485403,0.00005017109,0.0001134301,0.0001308818],"genre_scores_gemma":[0.9998416,0.00008382992,0.00003904941,0.000003257899,0.000007451953,0.000009863573,0.000007786798,0.000005551768,0.000001629612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4307968,"threshold_uncertainty_score":0.285526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007105423183662079,"score_gpt":0.215203538383041,"score_spread":0.2080981151993789,"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."}}