{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002985568,0.0001251486,0.0003763548,0.0002149504,0.00001100285,0.00001283366,0.0001362041,0.00005956334,0.000001652508],"category_scores_gemma":[0.00002495927,0.0001201033,0.00006619519,0.0007332366,0.00003850362,0.0002515483,0.0000187279,0.0001570045,2.161079e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007703337,"about_ca_system_score_gemma":0.00001780336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008300331,"about_ca_topic_score_gemma":0.000002443833,"domain_scores_codex":[0.9989681,0.00005697747,0.0005907372,0.00008426173,0.00017309,0.00012683],"domain_scores_gemma":[0.9991474,0.0001902229,0.0003824138,0.0001138383,0.000136653,0.00002946193],"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":[0.00006004558,0.00007637987,0.02056405,0.0001390472,0.00002260453,0.000001910146,0.001819296,0.04069195,0.9341751,0.001207254,0.0000034801,0.001238924],"study_design_scores_gemma":[0.002372332,0.0003048492,0.247046,0.0009135588,0.00004240651,0.00006761471,0.000489862,0.2930881,0.376646,0.07864452,0.000001320935,0.0003834381],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9135901,0.000007136147,0.08605354,0.000002166588,0.00003467469,0.0001987826,4.058129e-7,0.00003386598,0.00007932905],"genre_scores_gemma":[0.7141472,0.000003353296,0.2858016,0.000006333115,0.00001988048,0.000003428917,0.000001852261,0.00001631615,2.206468e-8],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5575291,"threshold_uncertainty_score":0.489767,"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."}}