{"id":"W3213663646","doi":"10.1088/1361-6501/ac3679","title":"MiniCarb: a passive, occultation-viewing, 6U CubeSat for observations of CO <sub>2</sub> , CH <sub>4</sub> , and H <sub>2</sub> O","year":2021,"lang":"en","type":"article","venue":"Measurement Science and Technology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"Lawrence Livermore National Laboratory; Goddard Space Flight Center","keywords":"CubeSat; Payload (computing); Environmental science; Remote sensing; Radio occultation; Satellite; Orbiter; Computer science; Aerospace engineering; Meteorology; Physics; Telecommunications; Engineering; Global Positioning System; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004810663,0.0004641715,0.0002503844,0.0004324692,0.0006898594,0.0009517772,0.0008276547,0.0003535845,0.004414728],"category_scores_gemma":[0.000489767,0.0002923529,0.0002615871,0.0003889852,0.000457455,0.0008665712,0.0008799378,0.001007856,0.0009977592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009077123,"about_ca_system_score_gemma":0.001045985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008675896,"about_ca_topic_score_gemma":0.02764615,"domain_scores_codex":[0.9996349,0.00002069933,0.000005990365,0.00008496566,0.0002157091,0.0000378222],"domain_scores_gemma":[0.9995642,0.0000358341,0.00003628663,0.00006096801,0.000230029,0.00007260943],"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":[0.003051806,0.0007879807,0.09593969,0.0004160425,0.0003764539,0.0009852567,0.0007035124,0.01529711,0.4486293,0.004957824,0.1655008,0.2633541],"study_design_scores_gemma":[0.0009741304,0.002393646,0.1596387,0.0001611489,0.0002114115,0.001197753,0.0005271554,0.07536412,0.2755726,0.0018093,0.4819177,0.0002323095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7940583,0.00152655,0.04702356,0.002352747,0.0006571767,0.001224992,0.02390716,0.009205984,0.1200435],"genre_scores_gemma":[0.8086405,0.0006032102,0.1126498,0.001271405,0.0002046995,0.0004864567,0.04364368,0.0009199629,0.03158027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008675896,"threshold_uncertainty_score":0.01725084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02497595325670936,"score_gpt":0.2293398413177857,"score_spread":0.2043638880610763,"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."}}