{"id":"W2031215413","doi":"10.1080/09349840500351846","title":"Interactive Methodology for Optimized Defect Characterization by Quantitative Pulsed Phase Thermography","year":2005,"lang":"en","type":"article","venue":"Research in Nondestructive Evaluation","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Computer science; Frame (networking); Thermography; Sampling (signal processing); Process (computing); Sample (material); Truncation (statistics); Simulation; Algorithm; Real-time computing; Optics; Computer vision; Infrared","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":[0.0006987064,0.0006089859,0.0005363842,0.0006886487,0.0002218284,0.0006966182,0.001097312,0.0004026126,0.005755625],"category_scores_gemma":[0.00202945,0.0003691544,0.0003317559,0.0004147033,0.0003604995,0.0005790052,0.0008561082,0.0004418795,0.0008934078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003503586,"about_ca_system_score_gemma":0.0003406447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004571754,"about_ca_topic_score_gemma":0.000624854,"domain_scores_codex":[0.9994839,0.00008564231,0.00002076612,0.00006270687,0.0003083157,0.00003859572],"domain_scores_gemma":[0.9988995,0.0005938143,0.00007874906,0.0001815075,0.0002177373,0.00002874987],"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":[0.0003118625,0.0001643431,0.0009424468,0.0002519105,0.00004602232,0.0001495112,0.0002330826,0.03661912,0.6204255,0.006923818,0.001713085,0.3322194],"study_design_scores_gemma":[0.00006414045,0.0002935333,0.001559473,0.00002335548,0.00003004735,0.0003829232,0.0000683934,0.5900449,0.3953339,0.003176654,0.008954728,0.0000679762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01506132,0.00005368573,0.9819197,0.00001920258,0.000007188738,0.00005000197,0.00005407961,0.00208777,0.0007469719],"genre_scores_gemma":[0.1514408,0.00006553523,0.8464263,0.00001815078,0.000008304297,0.0002004828,0.0001725621,0.0003566429,0.001311165],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005755625,"threshold_uncertainty_score":0.01925451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2140724841783486,"score_gpt":0.4903102804654482,"score_spread":0.2762377962870997,"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."}}