{"id":"W2029394408","doi":"10.1088/0957-0233/18/11/l01","title":"Optical distortion correction for liquid droplet visualization using the ray tracing method: further considerations","year":2007,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Fluid Dynamics and Turbulent Flows","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Distortion (music); Work (physics); Optics; Ray tracing (physics); Visualization; Physics; Line (geometry); Surface (topology); Algorithm; Computer science; Mathematics; Geometry; Artificial intelligence; Optoelectronics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002588894,0.00007695545,0.00007798822,0.000241831,0.000381106,0.00004598598,0.00006491031,0.00007059917,0.000003508116],"category_scores_gemma":[0.0004152852,0.00006074368,0.00001495979,0.0004917697,0.000185778,0.0001233419,0.00001541082,0.00007777796,5.797694e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002399777,"about_ca_system_score_gemma":0.00004949782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000568971,"about_ca_topic_score_gemma":0.00008638712,"domain_scores_codex":[0.9991109,0.000007765695,0.0001684852,0.0001635612,0.0003312891,0.0002180044],"domain_scores_gemma":[0.999417,0.000037923,0.00002612054,0.0001172332,0.0003723825,0.00002934427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001575343,0.00003685902,0.000245441,0.00002108511,0.00001932644,0.000001141569,0.0004403261,0.05036256,0.8941444,0.03580086,0.0001652047,0.01874711],"study_design_scores_gemma":[0.0001443659,0.00007247124,0.0001467537,0.00001498945,0.00002148397,0.00001770256,0.0002188139,0.9221771,0.07589474,0.0007267963,0.0004689033,0.00009588761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1600652,0.0001101126,0.8383183,0.0002888356,0.0006855158,0.0002412018,6.183303e-7,0.0001340556,0.0001561767],"genre_scores_gemma":[0.9933607,0.000008507027,0.00653633,0.00003013355,0.00003368938,0.00001705341,7.593012e-7,0.000008957775,0.000003897932],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8718145,"threshold_uncertainty_score":0.2931198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02926838739762005,"score_gpt":0.2837429807000879,"score_spread":0.2544745933024679,"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."}}