{"id":"W2062054750","doi":"10.1016/j.expthermflusci.2006.04.005","title":"Planar temperature imaging using thermally assisted laser induced fluorescence of OH in a methane–air flame","year":2006,"lang":"en","type":"article","venue":"Experimental Thermal and Fluid Science","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Planar laser-induced fluorescence; Materials science; Excited state; Laser-induced fluorescence; Fluorescence; Calibration; Methane; Atmospheric temperature range; Analytical Chemistry (journal); Quenching (fluorescence); Temperature measurement; Optics; Atomic physics; Chemistry; Thermodynamics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000168415,0.0001534109,0.0001563902,0.00008274698,0.0001704082,0.00004137208,0.0003021217,0.00005081418,0.0001396578],"category_scores_gemma":[0.00000725534,0.000133556,0.00003428786,0.0003907236,0.0004241652,0.0002879752,0.00007652443,0.0001395258,0.000002407809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008139718,"about_ca_system_score_gemma":0.00008485553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005300812,"about_ca_topic_score_gemma":0.000008597335,"domain_scores_codex":[0.9988266,0.00001718949,0.0002294749,0.0003627368,0.0002675474,0.0002964788],"domain_scores_gemma":[0.999585,0.00002339498,0.00006843223,0.000225536,0.00002947598,0.00006816471],"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":[0.00003727731,0.0001337515,0.002628537,0.000008024596,0.000002312555,0.000008386848,0.0004568439,0.00002457274,0.9959208,0.0005593604,0.00000360134,0.000216543],"study_design_scores_gemma":[0.0003647991,0.00001353508,0.01310851,0.00004561962,0.000003778719,0.00002111821,0.0007778353,0.003511291,0.9819508,0.00003528209,0.00001166556,0.0001557636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938676,0.0003294445,0.000004344211,0.00004364258,0.00003034268,0.00007959973,0.0000125782,0.00003073569,0.005601677],"genre_scores_gemma":[0.9989862,0.000001886427,0.0008016977,0.00005743067,0.00005384495,0.0000183243,0.000005934225,0.00001088501,0.00006380458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01396999,"threshold_uncertainty_score":0.5446256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345349040930498,"score_gpt":0.2761625208772371,"score_spread":0.2627090304679321,"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."}}