{"id":"W1969597008","doi":"10.1007/s11263-013-0652-x","title":"Computational Schlieren Photography with Light Field Probes","year":2013,"lang":"en","type":"article","venue":"International Journal of Computer Vision","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Optics; Light field; Computational photography; Photography; Computer science; Schlieren; Computer vision; Refractive index; Artificial intelligence; Computer graphics (images); Image processing; Physics; Image (mathematics)","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":[0.00004505999,0.0001072622,0.0001281192,0.0002982416,0.00001881415,0.0001277215,0.0003830966,0.00004206396,0.00005510236],"category_scores_gemma":[0.00001323742,0.00007867682,0.0000610801,0.0001128558,0.00003506006,0.0005616102,0.0000636902,0.0002244913,0.0000272404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003327256,"about_ca_system_score_gemma":0.00001079105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000154736,"about_ca_topic_score_gemma":2.916266e-7,"domain_scores_codex":[0.999159,0.000007406864,0.0002718417,0.00007882734,0.0003741062,0.0001088196],"domain_scores_gemma":[0.9992201,0.0000987277,0.00008523528,0.00006885111,0.0004792477,0.00004781833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001088862,0.0002051434,0.003608695,0.00003106521,0.0006323255,0.0002471309,0.0001735751,0.4669396,0.005476284,0.002743017,0.03896224,0.4808721],"study_design_scores_gemma":[0.002136847,0.001425071,0.01346016,0.0008288363,0.00002865828,0.00135419,0.00005039393,0.8880398,0.02855681,0.04976767,0.01379108,0.0005604882],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1642525,0.00009998015,0.8322993,0.002066939,0.0005735414,0.00007448498,8.716515e-7,0.000148207,0.0004841853],"genre_scores_gemma":[0.7463523,0.00001882063,0.2533089,0.0001515996,0.0001481662,0.000002381369,0.000001434747,0.0000112998,0.000005107986],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5820998,"threshold_uncertainty_score":0.3208348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00300719961688344,"score_gpt":0.2272219592287821,"score_spread":0.2242147596118987,"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."}}