{"id":"W2768906510","doi":"10.3390/s17112679","title":"Nondestructive Evaluation of Carbon Fiber Bicycle Frames Using Infrared Thermography","year":2017,"lang":"en","type":"article","venue":"Sensors","topic":"Thermography and Photoacoustic Techniques","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Thermography; Nondestructive testing; Frame (networking); Stiffness; Computer science; Infrared; Materials science; Work (physics); Engineering; Mechanical engineering; Composite material; Optics; Telecommunications","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":[0.0002101688,0.000116976,0.0001438719,0.0001357236,0.00008110755,0.00002379208,0.0001458861,0.0001046556,0.00006305157],"category_scores_gemma":[0.00003852878,0.0001157312,0.00008498046,0.00008994784,0.0001133099,0.00006953154,0.00001682507,0.0001043365,3.998129e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000213229,"about_ca_system_score_gemma":0.00001310694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001855068,"about_ca_topic_score_gemma":0.000005615507,"domain_scores_codex":[0.9993538,0.00003832806,0.0001412374,0.0001107611,0.0002196962,0.0001361439],"domain_scores_gemma":[0.9993219,0.00002711995,0.00008647191,0.0004354251,0.00009818847,0.00003085814],"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":[0.00009650915,0.00009052664,0.02934103,0.0002741249,0.0008990904,0.0000107124,0.006809517,0.1431506,0.68937,0.0003241498,0.0001019479,0.1295317],"study_design_scores_gemma":[0.000686802,0.00006120861,0.2659234,0.0001973022,0.0003659149,0.000008526217,0.0004589957,0.3245113,0.3868473,0.02027842,0.0001148116,0.000546054],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812192,0.000126043,0.000059984,0.000002131669,0.0001517568,0.0002052147,0.00005453431,0.0001604075,0.0180207],"genre_scores_gemma":[0.9986805,0.000008921606,0.001219505,0.000001837926,0.00004224205,0.000007833389,0.000001894256,0.00002544684,0.00001182042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3025228,"threshold_uncertainty_score":0.471938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02631250868377169,"score_gpt":0.2752581079545692,"score_spread":0.2489455992707975,"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."}}