{"id":"W2141299111","doi":"10.1007/s00348-007-0431-y","title":"Three-dimensional schlieren measurements using inverse tomography","year":2007,"lang":"en","type":"article","venue":"Experiments in Fluids","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences; Universities Space Research Association","keywords":"Schlieren; Tomography; Amplitude; Optics; Gaussian; Physics; Inverse problem; Rotational symmetry; Measure (data warehouse); Envelope (radar); Inverse; Acoustics; Mathematical analysis; Computer science; Geometry; Mathematics; Mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005615416,0.0005550102,0.0005316338,0.000761783,0.0005512962,0.0009487243,0.0004386642,0.0007886908,0.001766505],"category_scores_gemma":[0.001968174,0.0004775558,0.0002669559,0.0008076139,0.001165361,0.001997359,0.001058339,0.001051913,0.0003226099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004565509,"about_ca_system_score_gemma":0.0005437492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002617321,"about_ca_topic_score_gemma":0.003351452,"domain_scores_codex":[0.9991959,0.0001242734,0.00004616162,0.0001025058,0.0004607179,0.00007040807],"domain_scores_gemma":[0.998794,0.0004922047,0.0001044269,0.0002693566,0.0002781336,0.0000619366],"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":[0.000576739,0.0003587065,0.007547816,0.0001148579,0.00006307567,0.0001684021,0.000658752,0.04003367,0.8813426,0.005903526,0.001236273,0.06199556],"study_design_scores_gemma":[0.0001501809,0.0004171205,0.01736428,0.00002159336,0.00007131964,0.0003083026,0.000159947,0.3836357,0.5922709,0.002699605,0.002723369,0.0001776696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7017463,0.0001650769,0.2903336,0.0002850778,0.00007356158,0.0001036318,0.0008421878,0.001403228,0.005047407],"genre_scores_gemma":[0.9056871,0.0001175095,0.09218293,0.00004771943,0.00001547432,0.00005424426,0.0004236282,0.00008541441,0.001385966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002617321,"threshold_uncertainty_score":0.005909562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0786767437395378,"score_gpt":0.2830026109484408,"score_spread":0.204325867208903,"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."}}