{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001208243,0.001128592,0.0005653269,0.001479368,0.00103755,0.0006995815,0.001488636,0.0006362397,0.004655353],"category_scores_gemma":[0.003194573,0.0006060064,0.0005647649,0.0009407977,0.0002769531,0.0006307187,0.0008344392,0.001303239,0.002907003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005350543,"about_ca_system_score_gemma":0.0009923432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006730033,"about_ca_topic_score_gemma":0.01122574,"domain_scores_codex":[0.9994436,0.0000678068,0.00003716357,0.0001098182,0.0003104752,0.00003116007],"domain_scores_gemma":[0.9992303,0.0001239985,0.0001181269,0.0002071116,0.0002965368,0.00002400855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002847477,0.000340073,0.0137683,0.0003239873,0.0002073706,0.0002374208,0.000558357,0.1376065,0.2475825,0.007552871,0.007450293,0.5840876],"study_design_scores_gemma":[0.0001164307,0.0001554456,0.02115637,0.00005395247,0.00007841187,0.000340451,0.0001713807,0.8205576,0.1266158,0.01023185,0.0203176,0.0002046951],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02183896,0.00008454449,0.9688334,0.00004371303,0.00003872276,0.0003068604,0.001082813,0.006676211,0.001094814],"genre_scores_gemma":[0.08054837,0.0001688891,0.9133015,0.00003036782,0.00002523653,0.0007169716,0.002310684,0.0007989309,0.002099035],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006730033,"threshold_uncertainty_score":0.01557374,"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."}}