{"id":"W4388205919","doi":"10.21741/9781644902813-119","title":"Simulations for in-flight stellar calibration aimed at monitoring space instruments optical performance","year":2023,"lang":"en","type":"article","venue":"Materials research proceedings","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Materials Research","keywords":"Orbiter; Coronagraph; Remote sensing; Calibration; Computer science; Optical telescope; Orbital mechanics; Optical instrument; Scientific instrument; Optics; Physics; Spacecraft; On board; Aerospace engineering; Exoplanet; Stars; Satellite; Telescope; Astronomy; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007470282,0.0001195435,0.000153197,0.0002591067,0.0001885585,0.0002064558,0.0001442249,0.00008258246,0.00003656176],"category_scores_gemma":[0.0001731264,0.0001226725,0.00001789758,0.0005772187,0.00004283755,0.0003632186,0.000106046,0.0001226363,0.00008571196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000238212,"about_ca_system_score_gemma":0.00002223403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007484015,"about_ca_topic_score_gemma":0.000001494402,"domain_scores_codex":[0.9985179,0.00001009755,0.0002393044,0.0002082916,0.0004465205,0.0005778609],"domain_scores_gemma":[0.999584,0.0000789672,0.00001620525,0.00008166891,0.0001578734,0.00008124469],"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":[0.0000384462,0.00001217012,0.01477417,0.0004404987,0.00001093255,0.000001111367,0.0006100109,0.002200766,0.980106,0.000135337,0.001194695,0.0004758782],"study_design_scores_gemma":[0.0003688643,0.0000359344,0.01678488,0.000118859,0.000002927851,0.000001215956,0.0001446004,0.06031381,0.920571,0.00008827177,0.001437654,0.0001319894],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977372,0.000009080327,0.000007904885,0.0002143129,0.0003324937,0.0005305822,0.00001674334,0.0003082338,0.0008433945],"genre_scores_gemma":[0.9986778,0.00006635371,0.0002657398,0.000002052513,0.0002716889,0.0001262981,0.00001943205,0.00004711002,0.0005234759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.059535,"threshold_uncertainty_score":0.5002439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05992114898030244,"score_gpt":0.3337044761072908,"score_spread":0.2737833271269884,"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."}}