{"id":"W2146185101","doi":"10.1117/12.719892","title":"Effects of image intensifier halo on perceived layout","year":2007,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; York University","funders":"Public Works and Government Services Canada","keywords":"Halo; Visibility; Image intensifier; Perception; Observer (physics); Computer science; Computer vision; Artificial intelligence; Target acquisition; Physics; Optics; Psychology; Astrophysics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009242298,0.0002969219,0.0003991819,0.00007763073,0.00007911473,0.00003453422,0.0007202283,0.00017968,0.0000822828],"category_scores_gemma":[0.0004967345,0.0002359477,0.0004862911,0.0002181139,0.0004365225,0.0004230675,0.0001885163,0.0003180997,0.00001418467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003127255,"about_ca_system_score_gemma":0.00001095601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000330215,"about_ca_topic_score_gemma":3.631695e-7,"domain_scores_codex":[0.9975746,1.708363e-8,0.0006404965,0.0003518818,0.000885139,0.0005478539],"domain_scores_gemma":[0.9989226,0.0002263833,0.0003805837,0.00006160211,0.0002105921,0.0001982405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00019376,0.0002707545,0.004127064,0.000370515,0.0001389222,2.665268e-7,0.0006320153,0.0000236445,0.9473037,0.04409817,0.002513916,0.0003272457],"study_design_scores_gemma":[0.001988321,0.001189819,0.2813763,0.0004487898,0.0001758303,0.00001208395,0.001411574,0.002649089,0.7057636,0.0009317388,0.003514452,0.0005384132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888397,0.00002316913,0.00003480968,0.001438997,0.0001810014,0.000559604,0.0000115907,0.00004121817,0.008869841],"genre_scores_gemma":[0.9637345,0.00006028453,0.0352363,0.0002835805,0.0002038785,0.00002958525,0.000003367443,0.00005012474,0.0003983539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2772492,"threshold_uncertainty_score":0.9621669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008428733725266566,"score_gpt":0.2297435044761433,"score_spread":0.2213147707508767,"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."}}