{"id":"W2089344519","doi":"10.1117/12.390362","title":"<title>Design and current status of the reconstructor for Altair: the Gemini North adaptive optics system</title>","year":2000,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Herzberg Institute of Astrophysics","funders":"","keywords":"Adaptive optics; Benchmark (surveying); Computer science; Throughput; Telescope; Computer hardware; Simulation; Physics; Telecommunications; Optics","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":[0.001185387,0.0003713622,0.0003586373,0.0004071143,0.0005902653,0.001459645,0.001114288,0.0005267547,0.01858048],"category_scores_gemma":[0.0009559368,0.0002334301,0.0001902115,0.0004605405,0.0005267245,0.001734622,0.0003234334,0.0007660449,0.006518761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001185462,"about_ca_system_score_gemma":0.00108126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002842933,"about_ca_topic_score_gemma":0.003905654,"domain_scores_codex":[0.9995517,0.0000417741,0.0000254958,0.0000864141,0.0002306808,0.00006393213],"domain_scores_gemma":[0.9992193,0.00007910567,0.00004633838,0.0001227004,0.0004335874,0.00009901005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00158263,0.000299906,0.008583032,0.0007272056,0.00006307891,0.0003067931,0.0004374787,0.007679771,0.1959282,0.02031227,0.09072598,0.6733537],"study_design_scores_gemma":[0.0002690175,0.002251449,0.01046779,0.00009375483,0.00007962229,0.0007101857,0.0001888799,0.05378883,0.4087059,0.003125544,0.5201911,0.0001278701],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2257129,0.008264479,0.5463997,0.006281417,0.001081673,0.001476941,0.004393772,0.04684708,0.1595422],"genre_scores_gemma":[0.4032089,0.003401396,0.4207986,0.0008485675,0.0003913379,0.0003562561,0.01305509,0.004045581,0.1538942],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01858048,"threshold_uncertainty_score":0.06215787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01336054066011198,"score_gpt":0.2179319746157308,"score_spread":0.2045714339556188,"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."}}