{"id":"W4390772033","doi":"10.3233/xst-230260","title":"Photothermal effect in X-ray images for computed tomography of metallic parts: Stainless steel spheres","year":2024,"lang":"en","type":"article","venue":"Journal of X-Ray Science and Technology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Canadian Institute for Theoretical Astrophysics","keywords":"Tomography; Industrial computed tomography; Optics; Metrology; Photothermal therapy; SPHERES; X-ray; Materials science; Computer science; Physics","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":[0.0006741078,0.0001259456,0.0003192357,0.0009774329,0.00004951833,0.00004596984,0.000310191,0.00006657576,0.000005628486],"category_scores_gemma":[0.00008373702,0.00009751975,0.00006342374,0.001515801,0.000525662,0.0004673449,0.00003700793,0.0002620739,4.609512e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003278712,"about_ca_system_score_gemma":0.00006039107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001531995,"about_ca_topic_score_gemma":0.00000329098,"domain_scores_codex":[0.9990273,0.00001284551,0.0003316927,0.0001480351,0.0001978478,0.0002823436],"domain_scores_gemma":[0.9994749,0.0001478806,0.00007529993,0.0001136373,0.000142105,0.00004613268],"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":[0.00005262891,0.00006532262,0.006151678,0.0006299279,0.0001342741,0.0001246435,0.000312197,0.01495449,0.8412662,0.004488475,0.000214714,0.1316055],"study_design_scores_gemma":[0.002280557,0.001830457,0.005784573,0.001314869,0.0001471542,0.0002058503,0.002725875,0.07060041,0.8898805,0.01478189,0.009834482,0.0006134011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721949,0.01036841,0.01659013,0.0001865698,0.0003139172,0.0001750572,0.000005483062,0.00008782211,0.00007774371],"genre_scores_gemma":[0.9941515,0.0001308762,0.005646409,0.00001402044,0.00002965651,0.000008334096,1.657527e-7,0.00001283598,0.000006197798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1309921,"threshold_uncertainty_score":0.397674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004775107300293415,"score_gpt":0.2388031508211436,"score_spread":0.2340280435208502,"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."}}