{"id":"W4292450720","doi":"10.1117/12.2630705","title":"HEART: Gemini Planet Imager upgrade (GPI2.0) Real-time Controller (RTC) using the Herzberg Extensible Adaptive Real-time Toolkit (HEART)","year":2022,"lang":"en","type":"article","venue":"Adaptive Optics Systems VIII","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Upgrade; Extensibility; Computer science; Controller (irrigation); Planet; Simulation; Computer graphics (images); Real-time computing; Physics; Operating system; Astronomy","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":[0.001633266,0.001093737,0.0004823922,0.0008401618,0.0004541276,0.001686227,0.002120581,0.0007536709,0.02327351],"category_scores_gemma":[0.002980365,0.0005808079,0.0004782738,0.0004066192,0.000540659,0.001431275,0.001656501,0.002325212,0.0163393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000766555,"about_ca_system_score_gemma":0.0008349172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003003989,"about_ca_topic_score_gemma":0.002316833,"domain_scores_codex":[0.9988683,0.00009136769,0.00005831004,0.0002698333,0.0005270042,0.0001850629],"domain_scores_gemma":[0.9989426,0.0001446772,0.00009101651,0.0003369791,0.0002879687,0.0001969088],"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":[0.002986799,0.0002304243,0.007000548,0.0005531615,0.0001669698,0.0007451085,0.001281584,0.01045128,0.1140151,0.02841241,0.5404935,0.2936631],"study_design_scores_gemma":[0.0007984394,0.0006025397,0.006291957,0.0001378694,0.00009203691,0.0008977221,0.0001084323,0.1059102,0.1062874,0.008387923,0.7701488,0.0003366912],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.02216496,0.000508623,0.2899829,0.0004037076,0.0007097172,0.0005189599,0.004205532,0.616347,0.06515859],"genre_scores_gemma":[0.3701226,0.0007116064,0.4124601,0.001556389,0.000592233,0.0009935027,0.03420278,0.09447877,0.08488203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02327351,"threshold_uncertainty_score":0.07785761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02373287854149059,"score_gpt":0.2430984427166043,"score_spread":0.2193655641751137,"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."}}