{"id":"W2151902678","doi":"10.1117/12.856299","title":"In-orbit performance of the Herschel/SPIRE imaging Fourier transform spectrometer","year":2010,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"National Astronomical Observatories, Chinese Academy of Sciences; Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; National Aeronautics and Space Administration; California Institute of Technology; Imperial College London; Centre National d’Etudes Spatiales","keywords":"Spire (mollusc); Spectrometer; Imaging spectrometer; Space observatory; Observatory; Remote sensing; Physics; Optics; Spectral resolution; Astronomy; Infrared; Spectral line; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003910332,0.0002675588,0.0003229362,0.00007004708,0.00008839181,0.00005312802,0.001161278,0.0001656619,0.0001327439],"category_scores_gemma":[0.000174245,0.0002017352,0.0005651764,0.0003556262,0.0003243155,0.0004897878,0.0001157622,0.0006809558,0.00000133223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001053313,"about_ca_system_score_gemma":0.00004353348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001573727,"about_ca_topic_score_gemma":9.507924e-7,"domain_scores_codex":[0.9981052,6.732645e-9,0.0006294498,0.0003220801,0.0005651967,0.00037807],"domain_scores_gemma":[0.9988213,0.00008651412,0.0003067313,0.0001093585,0.0005973361,0.00007881215],"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":[0.00005716725,0.000114085,0.003175286,0.0004506773,0.000123876,3.496108e-8,0.0002286159,0.0000129482,0.8580301,0.1368887,0.0006084994,0.0003100303],"study_design_scores_gemma":[0.000819092,0.00005604403,0.001844788,0.000217815,0.0001003707,0.00001827014,0.0006162919,0.02530824,0.9646262,0.001506931,0.004625678,0.0002602854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835091,0.00003673745,0.000007507359,0.003837408,0.0001626868,0.0002907385,0.00003641703,0.0000392169,0.01208017],"genre_scores_gemma":[0.9751495,0.00004283073,0.02381435,0.00009292902,0.0003306765,0.0001598586,0.000003340311,0.00004896378,0.0003575911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1353818,"threshold_uncertainty_score":0.8226524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005583004194485221,"score_gpt":0.220074522589922,"score_spread":0.2144915183954368,"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."}}