{"id":"W2902002006","doi":"","title":"Assessment of Flatbed Scanner Method for Quality Assurance Testing of Air Content and Spacing Factor in Concrete","year":2013,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Engineering Applied Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère des Transports","keywords":"Scanner; Quality assurance; Content (measure theory); Engineering; Forensic engineering; Reliability engineering; Computer science; Artificial intelligence; Mathematics; Operations management","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006227666,0.0002368977,0.0006628755,0.0001897037,0.00001604385,0.00001151247,0.0001197063,0.0002080569,0.0000110828],"category_scores_gemma":[0.0004368091,0.0002429713,0.00005985905,0.0001872026,0.00001859728,0.00004670172,0.00001657225,0.0003593943,4.303351e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001048168,"about_ca_system_score_gemma":0.00007014956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008582956,"about_ca_topic_score_gemma":0.0001040921,"domain_scores_codex":[0.9987016,0.00004928138,0.0004713581,0.0002315824,0.0002661379,0.0002800161],"domain_scores_gemma":[0.9981534,0.001169901,0.0001638876,0.0002255527,0.00022282,0.00006436128],"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":[0.00001589954,0.000004599598,0.002186217,0.006751133,0.0001004651,6.246007e-7,0.001776708,0.03173128,0.9554155,0.0003357737,0.00002999739,0.001651786],"study_design_scores_gemma":[0.00119524,0.00009054513,0.3235269,0.001559195,0.0000342204,0.000001006199,0.003063539,0.2970425,0.3728338,0.00003122398,0.00007791677,0.0005439455],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698197,0.0004059137,0.02567127,0.00001057251,0.000159306,0.0008269065,0.00004150292,0.00007654951,0.002988229],"genre_scores_gemma":[0.8820298,0.00002438016,0.1170395,0.000001228409,0.00002357677,0.0001490341,0.00004521049,0.00006676334,0.0006204926],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5825817,"threshold_uncertainty_score":0.9908081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07365047488232637,"score_gpt":0.4131835577542063,"score_spread":0.33953308287188,"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."}}