{"id":"W2902461976","doi":"10.1016/j.ndteint.2018.11.012","title":"Thermography is cool: Defect detection using liquid nitrogen as a stimulus","year":2018,"lang":"en","type":"article","venue":"NDT & E International","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermography; Nondestructive testing; Liquid nitrogen; Materials science; Thermal; Acoustics; Infrared; Nitrogen; Optics; Chemistry","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":[0.00009697398,0.0001493054,0.00009885,0.0002485405,0.00007514311,0.00004498679,0.0002091984,0.0001064212,0.0008477274],"category_scores_gemma":[0.00001495483,0.0001544316,0.0001754181,0.0002224651,0.0000738573,0.000125799,0.00002745805,0.0001417542,0.00002908965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005726739,"about_ca_system_score_gemma":0.00001162956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001499708,"about_ca_topic_score_gemma":0.00002232573,"domain_scores_codex":[0.9992581,0.00001720921,0.000168435,0.0001677788,0.0002084254,0.0001800654],"domain_scores_gemma":[0.9996024,0.0000329365,0.0000358804,0.0001569216,0.0001179893,0.00005391278],"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":[0.000567854,0.0000911753,0.002502102,0.00003029607,0.0009887364,0.00002356389,0.001484953,0.0007955372,0.9671375,0.0004513247,0.001149383,0.02477758],"study_design_scores_gemma":[0.0004590991,0.0004348514,0.00159959,0.00008654947,0.00009134344,0.0001398638,0.00006039281,0.064941,0.9086241,0.005096695,0.01798325,0.0004832288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9401432,0.0001123795,0.05317328,0.00001334692,0.0008273745,0.000128286,0.0001406851,0.0005512415,0.004910175],"genre_scores_gemma":[0.998511,0.00001752639,0.0007368563,0.0001776908,0.0004698178,0.00002239013,0.00000918089,0.00003710393,0.0000184564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06414547,"threshold_uncertainty_score":0.9282021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01080658288745211,"score_gpt":0.2513483352749588,"score_spread":0.2405417523875067,"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."}}