{"id":"W1979248801","doi":"10.1117/12.865855","title":"Technological evolutions on the FTS instrument for follow-on missions to SCISAT Atmospheric Chemistry Experiment","year":2010,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"ABB (Canada)","funders":"Canadian Space Agency","keywords":"Obsolescence; Context (archaeology); Mars Exploration Program; Satellite; Aerospace engineering; Remote sensing; Systems engineering; Astrobiology; Environmental science; Engineering; Physics; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003792499,0.0007397964,0.0002355393,0.002615747,0.0009434601,0.000921769,0.001261397,0.0006934891,0.00256679],"category_scores_gemma":[0.002314102,0.0002611839,0.0004925209,0.00276841,0.0003921152,0.001194015,0.0008375946,0.001279069,0.001527817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003487487,"about_ca_system_score_gemma":0.002572337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03686205,"about_ca_topic_score_gemma":0.02784085,"domain_scores_codex":[0.9980931,0.0001579882,0.00006766985,0.0002708907,0.00114048,0.0002698431],"domain_scores_gemma":[0.9973821,0.0001536281,0.000145875,0.0003245177,0.001725225,0.0002686834],"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":[0.001999216,0.0005394897,0.09033131,0.0006597999,0.0002106299,0.0003111836,0.0006865161,0.01346778,0.1915867,0.02228558,0.07074453,0.6071773],"study_design_scores_gemma":[0.0001597287,0.0009224578,0.218905,0.0001845943,0.0002002358,0.0005467492,0.0003167403,0.01357158,0.103214,0.002299794,0.6594933,0.0001858212],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.388275,0.01320018,0.1904193,0.01011098,0.002085488,0.004034007,0.06581122,0.00875914,0.3173047],"genre_scores_gemma":[0.456424,0.006086569,0.4230763,0.002686002,0.0006530752,0.001464066,0.07756714,0.001158704,0.03088419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03686205,"threshold_uncertainty_score":0.073295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01295299678578732,"score_gpt":0.2219853062047926,"score_spread":0.2090323094190053,"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."}}