{"id":"W3085699191","doi":"10.1016/j.dib.2020.106313","title":"Thermal imaging dataset from composite material academic samples inspected by pulsed thermography","year":2020,"lang":"en","type":"article","venue":"Data in Brief","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Universidad del Valle; Physicians' Services Incorporated Foundation","keywords":"Thermography; Fibre-reinforced plastic; Materials science; Composite material; Glass fiber; Nondestructive testing; Flash (photography); Planar; Composite number; Infrared; Thermal; Optics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001081226,0.0002292801,0.0002424643,0.00007846242,0.00004196076,0.00007470464,0.001099051,0.0001059387,0.000328634],"category_scores_gemma":[0.00001614874,0.0002379835,0.00002935522,0.0003291598,0.00008098791,0.0003991812,0.0002506612,0.0004072329,0.00000510987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001131387,"about_ca_system_score_gemma":0.000006699623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001076743,"about_ca_topic_score_gemma":0.00001513764,"domain_scores_codex":[0.9987884,0.00005805879,0.0003134092,0.0003976057,0.000149235,0.0002932826],"domain_scores_gemma":[0.9990662,0.00007827772,0.00004210727,0.0007032988,0.000006823776,0.0001033478],"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":[0.00008257652,0.00001889402,0.005150541,0.00003018229,0.00005510846,0.00002096982,0.0002829894,0.00006501842,0.904534,0.00001109881,0.0853048,0.004443786],"study_design_scores_gemma":[0.003115695,0.00007824532,0.1370507,0.0003157113,0.0002325176,0.00001049152,0.000230986,0.07059223,0.406512,0.0007640876,0.3786171,0.002480286],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5215049,0.0006916651,0.002947638,0.0001452578,0.0001479682,0.0002169699,0.4734601,0.0007931048,0.00009235881],"genre_scores_gemma":[0.8704127,0.0001384236,0.0007099687,0.0006353516,0.0001720554,0.00001488932,0.1278686,0.00004782912,1.466784e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4980221,"threshold_uncertainty_score":0.9704687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02176511807984022,"score_gpt":0.2370700390950088,"score_spread":0.2153049210151686,"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."}}