{"id":"W4399671087","doi":"10.1117/12.3019212","title":"Performance analysis of REVOLT from laboratory and on-sky tests","year":2024,"lang":"en","type":"article","venue":"","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Victoria","funders":"","keywords":"Computer science; Sky; Astronomy; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002201204,0.0007827649,0.0007406895,0.001032382,0.0005038521,0.001007037,0.00135816,0.0007452076,0.003354372],"category_scores_gemma":[0.006312139,0.0002108833,0.0004553157,0.0008167265,0.0006700372,0.001110908,0.001021771,0.0006552615,0.001237972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00114745,"about_ca_system_score_gemma":0.0007388583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004877266,"about_ca_topic_score_gemma":0.003136833,"domain_scores_codex":[0.9975176,0.0003575955,0.0001267459,0.0003449956,0.001252757,0.0004002822],"domain_scores_gemma":[0.9955299,0.001600637,0.0003665408,0.0006911793,0.001550773,0.0002608727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006026769,0.001442651,0.03309789,0.0007467358,0.0004147551,0.0008294209,0.0007518286,0.6345252,0.1394763,0.00445049,0.009704221,0.1685338],"study_design_scores_gemma":[0.0001795565,0.003781835,0.0166488,0.00004744603,0.00006992895,0.0004056194,0.0003089444,0.8424914,0.1311035,0.0005998601,0.00426838,0.00009471517],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9362994,0.0003877305,0.04726496,0.0001857786,0.00006155539,0.0001448985,0.000713703,0.005448318,0.009493701],"genre_scores_gemma":[0.9875345,0.00007591724,0.009469626,0.00008137619,0.000007125112,0.00005183523,0.000858033,0.0002905347,0.001631067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004877266,"threshold_uncertainty_score":0.0116412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845956074613335,"score_gpt":0.2530373532894342,"score_spread":0.2345777925433008,"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."}}