{"id":"W3130287227","doi":"10.5194/amt-14-1333-2021","title":"Validation of pure rotational Raman temperature data from the Raman Lidar for Meteorological Observations (RALMO) at Payerne","year":2021,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"École Polytechnique Fédérale de Lausanne","keywords":"Troposphere; Lidar; Calibration; Environmental science; Standard deviation; Raman spectroscopy; SIGNAL (programming language); Meteorology; Remote sensing; Noise (video); Atmospheric sciences; Statistics; Physics; Optics; Mathematics; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005417668,0.0002096252,0.0002504121,0.000002324927,0.0003285431,0.00006782474,0.0007243096,0.0002003384,0.001569054],"category_scores_gemma":[0.0004770214,0.0001607289,0.0001131936,0.0002645194,0.00007665052,0.0001610687,0.0002222435,0.0002059419,0.000005588417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001618609,"about_ca_system_score_gemma":0.0001682321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000704527,"about_ca_topic_score_gemma":0.0001430729,"domain_scores_codex":[0.9981046,0.00007409745,0.0004557752,0.0005454148,0.0006079804,0.0002121236],"domain_scores_gemma":[0.9975271,0.000279255,0.0002436942,0.001316633,0.0005783559,0.00005501718],"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":[0.00005280556,0.0002700043,0.005990287,0.00003691502,0.0001519995,0.000001003626,0.00008713411,0.00001861924,0.9660025,0.001772143,0.0248108,0.0008057882],"study_design_scores_gemma":[0.0003008635,0.00003990503,0.004688165,0.00005846881,0.0001744908,0.000002654236,0.0001561756,0.000571157,0.9438193,0.004021144,0.0459767,0.0001909949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9512123,0.001954107,0.03408944,0.007438071,0.000107785,0.001262842,0.001437002,0.000648515,0.001849934],"genre_scores_gemma":[0.8876361,0.0001124988,0.1044933,0.0005754364,0.0002891513,0.0009757023,0.005432647,0.00003617152,0.0004490331],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07040382,"threshold_uncertainty_score":0.9993436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09085270101416393,"score_gpt":0.2986905768029481,"score_spread":0.2078378757887842,"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."}}