{"id":"W2128413881","doi":"10.1139/p01-149","title":"Procedures for recovering mesospheric and stratospheric temperatures from OSIRIS scattered-sunlight measurements","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Physics","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Osiris; Radiance; Physics; Spectrograph; Remote sensing; Sunlight; Noise (video); Infrared; Satellite; Stratosphere; Range (aeronautics); Optics; Environmental science; Meteorology; Astronomy; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00006985714,0.0001267795,0.0001630835,0.00002790549,0.00007110779,0.0001138912,0.00009997605,0.00004574532,0.00007652574],"category_scores_gemma":[0.00003071313,0.0001250855,0.00006234068,0.00009987415,0.00002138878,0.0003026305,0.000002293096,0.0001262338,0.00000126184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001126235,"about_ca_system_score_gemma":0.00009359969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001691417,"about_ca_topic_score_gemma":0.003451349,"domain_scores_codex":[0.999388,0.000009829184,0.0002147779,0.00008254412,0.0001259968,0.0001788906],"domain_scores_gemma":[0.9994799,0.00001429984,0.00006076017,0.00008344799,0.0001035862,0.0002579807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004645313,0.0001175559,0.04281068,0.0006149587,0.001215887,0.00006046017,0.005021257,0.006743831,0.3699395,0.001462424,0.3785732,0.1933937],"study_design_scores_gemma":[0.004248787,0.0007350197,0.01931583,0.001715225,0.0004954956,0.0001275904,0.0006464144,0.01500293,0.7950823,0.009053457,0.151261,0.002315905],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9246148,0.01881045,0.04905858,0.0007633939,0.001700572,0.0009428838,0.0001688764,0.0003533685,0.003587059],"genre_scores_gemma":[0.9956835,0.0001089795,0.003700809,0.0001474402,0.0002799659,0.000007257931,0.000001751239,0.00004578601,0.00002452354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4251428,"threshold_uncertainty_score":0.5100839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03367553979085044,"score_gpt":0.2057917531595134,"score_spread":0.172116213368663,"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."}}