{"id":"W2999367692","doi":"10.32920/ryerson.14652606.v1","title":"Development and Performance Characterization Of Colour Star Trackers","year":2021,"lang":"en","type":"article","venue":"","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Star tracker; Stars; BitTorrent tracker; Brightness; Computer science; Star (game theory); Artificial intelligence; Celestial sphere; Computer vision; Physics; Eye tracking; Astrophysics; Astronomy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001766151,0.00002644025,0.00003719674,0.00001018921,0.00001193884,0.000003554224,0.000007804479,0.00001643022,0.00003350464],"category_scores_gemma":[0.000001344102,0.00002601629,0.000003812635,0.00004595349,0.00000336257,0.00005101159,0.000002786891,0.00001638074,0.000002997331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000903483,"about_ca_system_score_gemma":0.000006347731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.342738e-7,"about_ca_topic_score_gemma":0.000002615844,"domain_scores_codex":[0.9998206,0.000001947491,0.00007310533,0.00003004503,0.00003522287,0.00003900678],"domain_scores_gemma":[0.9999365,0.00000205582,0.000006336497,0.0000221736,0.00002161367,0.00001128753],"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":[0.0000036503,0.000004970696,0.00131501,0.00006585907,0.000007336825,6.776723e-7,0.0005222787,0.0001041119,0.9736926,0.00009366641,0.000007331329,0.0241825],"study_design_scores_gemma":[0.00006806182,0.000004569355,0.123351,0.000008685213,0.000001691189,0.000001247205,0.00003208738,0.01180645,0.8626971,6.803965e-7,0.001992356,0.00003615203],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984702,0.00001016004,0.0004782388,0.000009916472,0.00004690476,0.00002168654,8.522065e-7,0.00002771818,0.0009343477],"genre_scores_gemma":[0.9979656,0.00003950555,0.00180314,0.000009794475,0.000008573683,0.000001068359,0.00002759366,0.000003592702,0.0001411706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.122036,"threshold_uncertainty_score":0.1060913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007234418832192746,"score_gpt":0.1751059289785386,"score_spread":0.1678715101463459,"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."}}