{"id":"W2331699337","doi":"10.2514/6.2012-5001","title":"Color Star Tracking Using 3CCD Prism Hardware","year":2012,"lang":"en","type":"article","venue":"AIAA Guidance, Navigation, and Control Conference","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Tracking (education); Prism; Star (game theory); Computer graphics (images); Computer vision; Artificial intelligence; Computer hardware; Physics; Optics; Astrophysics","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":[0.0006292199,0.0004121362,0.0002961987,0.0004760401,0.0002575083,0.0008414753,0.001167339,0.000508141,0.003940919],"category_scores_gemma":[0.001622314,0.0003062305,0.0003169432,0.0005837504,0.0002938916,0.0007757387,0.0009751386,0.0004416557,0.00127105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007580196,"about_ca_system_score_gemma":0.001330676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002726657,"about_ca_topic_score_gemma":0.004688584,"domain_scores_codex":[0.9992888,0.00008402552,0.00002835722,0.0001232884,0.0004225079,0.00005295624],"domain_scores_gemma":[0.9990556,0.0001546485,0.0001237345,0.0002300317,0.0003727418,0.00006324702],"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":[0.0005822867,0.0001300129,0.006373785,0.0004461277,0.00008194614,0.000392446,0.0002511829,0.05615479,0.4666721,0.02234155,0.006531364,0.4400424],"study_design_scores_gemma":[0.0001215631,0.0009924308,0.007999127,0.00006362263,0.00008690546,0.001379807,0.0000966891,0.4214005,0.5052915,0.002113547,0.0603161,0.0001382876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05464114,0.0003631015,0.9281054,0.0001260169,0.0001789051,0.00008427267,0.0002209917,0.00498538,0.01129477],"genre_scores_gemma":[0.4211386,0.0003000161,0.5709636,0.0001484071,0.00003486305,0.00005826174,0.0004399023,0.0001597835,0.006756583],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003940919,"threshold_uncertainty_score":0.01318365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796839848868129,"score_gpt":0.2358698298642303,"score_spread":0.217901431375549,"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."}}