{"id":"W2006118300","doi":"10.7567/jjap.52.07hc10","title":"Interval of Observation Plane in Visualization of Region near Defects in Billets Using Ultrasonic Computerized Tomography Method","year":2013,"lang":"en","type":"article","venue":"Japanese Journal of Applied Physics","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Kempe Foundation; Health Research Board","keywords":"Visualization; Ultrasonic sensor; Plane (geometry); Materials science; Acoustics; Tomography; Optics; Computer science; Artificial intelligence; Geometry; Physics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002937636,0.0003083675,0.0001638623,0.0004304935,0.0001388229,0.0003256761,0.0002572197,0.0002822283,0.0008904932],"category_scores_gemma":[0.001303658,0.000212386,0.0001981855,0.0002388975,0.0001956956,0.0004049885,0.0002389662,0.0001997668,0.00006261823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002102973,"about_ca_system_score_gemma":0.0003070959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001403128,"about_ca_topic_score_gemma":0.00109157,"domain_scores_codex":[0.999861,0.00002787351,0.000007149796,0.0000355774,0.00004543909,0.00002291555],"domain_scores_gemma":[0.9993919,0.0003562614,0.00008414976,0.00005171906,0.00008320381,0.00003278359],"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":[0.0007584836,0.00008870765,0.0188374,0.0001550631,0.00003857765,0.0008058454,0.0004137414,0.1022423,0.8187383,0.001792301,0.0003214781,0.05580773],"study_design_scores_gemma":[0.00005641991,0.0005276494,0.05781218,0.00002913499,0.0000894492,0.0008819732,0.00035713,0.5300019,0.4082054,0.0008432843,0.001112818,0.00008265854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8936968,0.000223472,0.104348,0.00005917416,0.00001145189,0.00002650329,0.00007081754,0.000293747,0.001270163],"genre_scores_gemma":[0.969387,0.0000802537,0.03024518,0.000004687659,0.000001851695,0.0000132014,0.00004264775,0.0000156445,0.0002094806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001403128,"threshold_uncertainty_score":0.002978981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02702385297909696,"score_gpt":0.2704103695901671,"score_spread":0.2433865166110702,"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."}}