{"id":"W3035029328","doi":"10.1016/j.jqsrt.2020.107131","title":"Absorption cross sections for ethane broadened by hydrogen and helium in the 3.3 micron region","year":2020,"lang":"en","type":"article","venue":"Journal of Quantitative Spectroscopy and Radiative Transfer","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Light Source (Canada)","funders":"National Research Council Canada; Western Economic Diversification Canada; Canadian Institutes of Health Research; Canada Foundation for Innovation; National Aeronautics and Space Administration","keywords":"Helium; Torr; Hydrogen; Materials science; Absorption (acoustics); Spectral line; Analytical Chemistry (journal); Infrared spectroscopy; Absorption spectroscopy; Atomic physics; Infrared; Fourier transform spectroscopy; Spectroscopy; Optics; Chemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002578576,0.0002769307,0.0001826217,0.000612839,0.0004270151,0.000228763,0.0003217207,0.0004963192,0.009042599],"category_scores_gemma":[0.0002250259,0.0002246394,0.0002847193,0.0003574881,0.0003412259,0.0002952331,0.0003347445,0.0004155047,0.0007230103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000411991,"about_ca_system_score_gemma":0.0002073957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001907498,"about_ca_topic_score_gemma":0.002298321,"domain_scores_codex":[0.9999468,0.000007718148,0.000001272465,0.00001047151,0.00001067548,0.00002292744],"domain_scores_gemma":[0.999649,0.0002476511,0.00003433934,0.00001223616,0.00002552477,0.00003122396],"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":[0.001181955,0.00006746264,0.007845737,0.0001337357,0.0000396805,0.0004623413,0.0004091619,0.005875729,0.9738424,0.004055602,0.0005142677,0.005571969],"study_design_scores_gemma":[0.00007727304,0.0003828761,0.107699,0.00004131579,0.00009006735,0.0006949357,0.0005385455,0.02009883,0.865159,0.001527315,0.003635349,0.00005560214],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9842077,0.0008867452,0.005757673,0.0001136749,0.00001704481,0.00001145131,0.0003310801,0.0001864308,0.008488232],"genre_scores_gemma":[0.9945422,0.0002958704,0.0007566045,0.00006112394,0.00000433003,0.00001186674,0.0002287594,0.00003328669,0.004065819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009042599,"threshold_uncertainty_score":0.03025049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03196688683817162,"score_gpt":0.3164574435549716,"score_spread":0.2844905567168,"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."}}