{"id":"W4249207009","doi":"10.1515/iupac.68.0196","title":"High Resolution Wavenumber Standards for the Infrared","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Steacie Institute for Molecular Sciences","funders":"","keywords":"Wavenumber; Infrared; Calibration; Fourier transform; Resolution (logic); Spectral resolution; Range (aeronautics); Optics; Computational physics; Physics; Spectral line; Materials science; Computer science","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":[0.00177317,0.001912023,0.001245919,0.004816868,0.0009061495,0.002242002,0.002927628,0.00180512,0.04605447],"category_scores_gemma":[0.009656079,0.0006118034,0.00135381,0.009290909,0.0004880369,0.001922464,0.002222168,0.002577275,0.0782659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001271481,"about_ca_system_score_gemma":0.002600161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01379167,"about_ca_topic_score_gemma":0.02197752,"domain_scores_codex":[0.9977455,0.000312482,0.0004204536,0.0006335505,0.0006590585,0.0002289846],"domain_scores_gemma":[0.9962525,0.0007884373,0.0004797647,0.0009981653,0.001309295,0.0001717621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001583668,0.00005012414,0.002885949,0.001932394,0.00006337493,0.00005054271,0.00005644289,0.0007803607,0.0006415198,0.00192374,0.9786335,0.01282356],"study_design_scores_gemma":[0.0001572281,0.00001919548,0.006483319,0.0004365684,0.00002499062,0.0000675955,0.00008181778,0.0003933228,0.0007858152,0.001950611,0.9895678,0.00003169086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002651256,0.0001040799,0.0003674226,0.00004673192,0.00002428528,0.0000275039,0.9977059,0.0004442662,0.001014647],"genre_scores_gemma":[0.0003254603,0.00007255072,0.0008590989,0.00002369164,0.000004539768,0.0001209948,0.9980161,0.00007098257,0.0005065228],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04605447,"threshold_uncertainty_score":0.1540676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01778550553901614,"score_gpt":0.3529691068771224,"score_spread":0.3351836013381063,"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."}}