{"id":"W2326937691","doi":"10.1115/imece2012-88122","title":"Laser Absorption Spectroscopy Tomography Beam Arrangement Optimization Using Resolution Matrices","year":2012,"lang":"en","type":"article","venue":"","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Attenuation; Attenuation coefficient; Optics; Beam (structure); Absorption (acoustics); Laser; Materials science; Matrix (chemical analysis); Tomography; Resolution (logic); Spectroscopy; Laser beam quality; Basis (linear algebra); Iterative reconstruction; Algorithm; Computer science; Laser beams; Physics; Mathematics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001206187,0.0008230401,0.0005371394,0.0006593528,0.000313139,0.0007847919,0.0005588623,0.0005729423,0.0008023928],"category_scores_gemma":[0.003056772,0.0007209318,0.000375825,0.0007017329,0.0004034042,0.0009860237,0.0006931006,0.0005896945,0.0004255508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007473995,"about_ca_system_score_gemma":0.0009297547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001396084,"about_ca_topic_score_gemma":0.002589852,"domain_scores_codex":[0.999199,0.0002683718,0.0000545863,0.0001362649,0.0002824848,0.00005931093],"domain_scores_gemma":[0.99855,0.0005814855,0.0003246992,0.0002064262,0.0002956259,0.00004175449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003521854,0.0001532799,0.001731266,0.0001333923,0.00006015279,0.0000974299,0.0001584357,0.6255623,0.2468606,0.006865875,0.0006162724,0.1174088],"study_design_scores_gemma":[0.00004515101,0.0001312223,0.0004824857,0.00001012769,0.00001804845,0.00009078674,0.00002684358,0.8985015,0.0975803,0.001979985,0.001098098,0.00003535045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05029813,0.0001050028,0.9480271,0.0001101357,0.000009359152,0.00004966763,0.00004134767,0.0004657207,0.0008936014],"genre_scores_gemma":[0.1441935,0.00007304588,0.8550566,0.00002139381,0.000003970514,0.00005346271,0.00004696309,0.00007069635,0.0004803257],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001396084,"threshold_uncertainty_score":0.006379008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01048886605295458,"score_gpt":0.2212854173507626,"score_spread":0.210796551297808,"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."}}