{"id":"W3215361484","doi":"10.3390/rs13234754","title":"RMCSat: An F10.7 Solar Flux Index CubeSat Mission","year":2021,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Spacecraft Design and Technology","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"Canadian Armed Forces","keywords":"CubeSat; Payload (computing); Remote sensing; Aerospace engineering; Satellite; Thermosphere; Space physics; Space research; Environmental science; Meteorology; Physics; Ionosphere; Astronomy; Computer science; Engineering; 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":[0.0008111735,0.0007930237,0.0004485225,0.0005959098,0.0008528079,0.0009019102,0.0006866588,0.0004907072,0.004053507],"category_scores_gemma":[0.0005861201,0.0002023445,0.0003804581,0.0007907874,0.0004220226,0.0007842899,0.0007466075,0.001108894,0.002591841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008888503,"about_ca_system_score_gemma":0.001696099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01206231,"about_ca_topic_score_gemma":0.02487991,"domain_scores_codex":[0.9994305,0.00004827217,0.00001113899,0.00008505578,0.0003486385,0.00007649426],"domain_scores_gemma":[0.9997149,0.00002155348,0.00002476911,0.00004143455,0.0001451676,0.00005217213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002378008,0.0008542201,0.0337238,0.0004310595,0.0003199695,0.0008277507,0.0006760242,0.05010256,0.2761924,0.01490469,0.3545081,0.2650815],"study_design_scores_gemma":[0.001130159,0.00173152,0.06500208,0.0001255759,0.0001639477,0.0006955754,0.0003772285,0.2382718,0.1330335,0.007014602,0.5521258,0.0003282134],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3623375,0.001008763,0.2101522,0.003200248,0.001046975,0.002294765,0.116482,0.04040866,0.263069],"genre_scores_gemma":[0.509293,0.0006226015,0.2709291,0.00174013,0.000279351,0.001443963,0.1771189,0.002906662,0.03566632],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01206231,"threshold_uncertainty_score":0.02398419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01370533754812251,"score_gpt":0.2269093464884941,"score_spread":0.2132040089403716,"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."}}