{"id":"W2791092661","doi":"10.3390/app8020240","title":"Thermographic Non-Destructive Evaluation for Natural Fiber-Reinforced Composite Laminates","year":2018,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Materials science; Thermography; Composite material; Bagasse; Natural fiber; Composite number; Composite laminates; Delamination (geology); Nondestructive testing; Pulp and paper industry; Infrared; Geology","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":[0.0004423959,0.0001273109,0.0001093922,0.0001507999,0.0002652268,0.00005685912,0.0002497571,0.00005614523,0.00004883989],"category_scores_gemma":[0.000006713009,0.0001055196,0.00005296428,0.0004846376,0.0004741778,0.0001122912,0.00001525406,0.00006952236,0.000004163216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001624691,"about_ca_system_score_gemma":0.00001631851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008681236,"about_ca_topic_score_gemma":0.000005285244,"domain_scores_codex":[0.9992228,0.000008335038,0.0001290373,0.0001887259,0.0002187305,0.0002323306],"domain_scores_gemma":[0.9996329,0.0001025166,0.00003578018,0.0001203315,0.00007686328,0.00003158441],"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":[0.00003094419,0.000006319728,0.00005223603,0.00003278574,0.00004516155,1.288873e-7,0.001284542,0.001239145,0.9397326,0.007957363,0.0004846517,0.04913414],"study_design_scores_gemma":[0.0005293941,0.0002478271,0.008407521,0.00004191492,0.00007279494,0.000004009361,0.00037342,0.1966086,0.765233,0.02742392,0.0005728689,0.0004846861],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705399,0.00007923657,0.006928924,0.00001073988,0.0002679338,0.0007404598,0.00002849467,0.0003545658,0.02104975],"genre_scores_gemma":[0.9953815,0.000003293811,0.004246483,0.00003051221,0.00009774473,0.0001923112,0.000009167718,0.00001134233,0.00002766176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1953695,"threshold_uncertainty_score":0.4302964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164115777580248,"score_gpt":0.2521688345532382,"score_spread":0.2405276767774358,"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."}}