{"id":"W2016502730","doi":"10.1364/fts.2003.fmd15","title":"The Waterloo Atmospheric Observatory","year":2003,"lang":"en","type":"article","venue":"Fourier Transform Spectroscopy","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ABB (Canada); University of Waterloo","funders":"","keywords":"Observatory; Troposphere; Stratosphere; Fourier transform spectroscopy; Trace gas; Remote sensing; Environmental science; Infrared; Atmospheric optics; Fourier transform; Atmospheric wave; Spectroscopy; Meteorology; Atmospheric sciences; Physics; Optics; Astronomy; Geology","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":["insufficient_payload"],"category_scores_codex":[0.000359838,0.0002184743,0.0001828638,0.000002068803,0.0006822597,0.0001208003,0.0002954648,0.00007572341,0.00455995],"category_scores_gemma":[0.00001374888,0.0001323263,0.0001273818,0.0002614414,0.0001987679,0.0002505419,0.000002287052,0.0002189928,0.0008218127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001072551,"about_ca_system_score_gemma":0.00009191999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004396249,"about_ca_topic_score_gemma":0.001650121,"domain_scores_codex":[0.9983449,0.00006960974,0.0002701125,0.000271464,0.0003230217,0.000720883],"domain_scores_gemma":[0.9993303,0.00009635737,0.00004812251,0.0003311157,0.0000226579,0.0001714867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006743698,0.0001887865,0.7421098,0.0001126384,0.0004486333,0.0001863055,0.005091329,0.001363935,0.001347592,0.02176382,0.01750806,0.2092047],"study_design_scores_gemma":[0.001007052,0.0005869324,0.06487839,0.00001609266,0.00007431723,0.00005062256,0.001828178,0.004115674,0.01013478,0.01986189,0.8967444,0.0007017114],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7781749,0.00349998,0.002761994,0.001452743,0.001291855,0.0004434114,0.00002427689,0.0001914759,0.2121593],"genre_scores_gemma":[0.9550297,0.002235185,0.0309471,0.001041196,0.0002592003,0.00001262687,0.00003784464,0.00002859886,0.0104085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8792363,"threshold_uncertainty_score":0.9999562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008791623242484909,"score_gpt":0.2060525584852097,"score_spread":0.1972609352427248,"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."}}