{"id":"W2861037318","doi":"10.1117/12.2312491","title":"METIS AO RTC concept","year":2018,"lang":"en","type":"article","venue":"","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Wavefront sensor; Spectrograph; Xeon; SIMD; Wavefront; Metis; Adaptive optics; Parallel computing; Physics; Optics","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":[0.001197903,0.001003757,0.0006354092,0.001113711,0.00119201,0.002262764,0.002318889,0.001354938,0.03893514],"category_scores_gemma":[0.001500898,0.0004304457,0.0004365197,0.0005383436,0.0004796533,0.001578577,0.002109861,0.001563702,0.01967956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00135593,"about_ca_system_score_gemma":0.002776455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003054936,"about_ca_topic_score_gemma":0.001645356,"domain_scores_codex":[0.9976022,0.0001096029,0.00005491896,0.0002919497,0.001779621,0.0001618017],"domain_scores_gemma":[0.9986939,0.0000582329,0.00006316855,0.0001914114,0.0008324126,0.0001608034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001526922,0.0003147688,0.003678852,0.001088434,0.00006636105,0.0005578666,0.000620363,0.007543139,0.1898939,0.09404098,0.2433088,0.4573595],"study_design_scores_gemma":[0.0001166216,0.0003905845,0.00145301,0.000100761,0.00002436901,0.0007326777,0.0001156292,0.01723851,0.0349332,0.002555178,0.9422751,0.00006439817],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.04024557,0.003121335,0.3726091,0.002904867,0.00454503,0.002786465,0.007029289,0.0358256,0.5309328],"genre_scores_gemma":[0.2776093,0.002276947,0.3575933,0.002728858,0.001685653,0.003365181,0.01565238,0.00483688,0.3342515],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03893514,"threshold_uncertainty_score":0.130251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01297850862939209,"score_gpt":0.2508310321753263,"score_spread":0.2378525235459342,"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."}}