{"id":"W2049728925","doi":"10.1615/ichmt.2013.intsympradtransf.180","title":"LASER ABSORPTION TOMOGRAPHY RECONSTRUCTION THROUGH THE LEVEL SET METHOD","year":2013,"lang":"en","type":"article","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Absorption (acoustics); Laser; Tomography; Diffusion; Plume; Optics; Optical tomography; Scale (ratio); Materials science; Computational physics; Biological system; Physics; Thermodynamics","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":[0.0009514036,0.0005333676,0.0005380961,0.0008901826,0.0004593685,0.001343743,0.001240733,0.001169734,0.002746745],"category_scores_gemma":[0.00256082,0.0008373975,0.0008218458,0.0006923606,0.0007733012,0.0009868861,0.001299586,0.00161396,0.0008562065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051845,"about_ca_system_score_gemma":0.001542088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003555738,"about_ca_topic_score_gemma":0.002819977,"domain_scores_codex":[0.9996081,0.00009587078,0.00001689504,0.00003848616,0.0002099093,0.00003063711],"domain_scores_gemma":[0.9993544,0.0003080748,0.00005019225,0.00007500895,0.0001779735,0.00003437332],"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":[0.00007519255,0.00003789146,0.000620915,0.00007472069,0.00003091578,0.00008774173,0.0001007007,0.8890142,0.01106344,0.04882003,0.001274107,0.04880016],"study_design_scores_gemma":[0.000003966981,0.000004520771,0.00003101067,0.000003151508,0.000001345303,0.000009069122,0.000003694348,0.9935045,0.001088706,0.0048632,0.0004820823,0.000004616328],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005006885,0.00002999029,0.9932846,0.0001041019,0.00001181517,0.00002511196,0.00004241422,0.0002590588,0.001236165],"genre_scores_gemma":[0.2124644,0.0001585567,0.7837801,0.000094499,0.00001795887,0.0002133996,0.0002538265,0.0002728652,0.002744313],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003555738,"threshold_uncertainty_score":0.009188712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01739452944171294,"score_gpt":0.2326967628234285,"score_spread":0.2153022333817155,"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."}}