{"id":"W3049761375","doi":"","title":"Metis: Coronagraph Performance & Coordinated Observations","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metis; Coronagraph; Geography; Astronomy; Computer science; Physics; Exoplanet; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007020205,0.000817072,0.0007530561,0.0007738025,0.0005127745,0.001352209,0.0005891254,0.0006061156,0.01201893],"category_scores_gemma":[0.001302416,0.0002644569,0.0002874712,0.001239527,0.0002045235,0.0008711955,0.0009961164,0.0006772378,0.003245533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007446854,"about_ca_system_score_gemma":0.001126439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01081752,"about_ca_topic_score_gemma":0.01814909,"domain_scores_codex":[0.9994715,0.00007674695,0.00001216288,0.0001201132,0.0002515339,0.00006799785],"domain_scores_gemma":[0.9993178,0.00006679351,0.00007158329,0.0001702099,0.0002615822,0.0001120459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003284318,0.0004048178,0.03614722,0.0003308955,0.0003477793,0.0003143243,0.0002319438,0.07237163,0.060434,0.005436963,0.4154429,0.4052532],"study_design_scores_gemma":[0.0005090702,0.001106017,0.2531284,0.0000711043,0.000222125,0.0003395508,0.0002654156,0.5376006,0.03979437,0.004921481,0.1619079,0.0001340289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.496987,0.003555918,0.191769,0.00555027,0.004228568,0.0006446053,0.0564913,0.05520798,0.1855654],"genre_scores_gemma":[0.8802454,0.0005042379,0.04450339,0.0002823764,0.001063906,0.0001272724,0.0363361,0.00250356,0.03443378],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01201893,"threshold_uncertainty_score":0.04020727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01435095540116761,"score_gpt":0.2070485353897711,"score_spread":0.1926975799886035,"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."}}