{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005283424,0.0007310201,0.0008521366,0.001990754,0.0005869564,0.00261588,0.001706331,0.00123661,0.003114199],"category_scores_gemma":[0.01696783,0.0003592681,0.0005243409,0.002175618,0.0004824887,0.00235795,0.001308093,0.0008552183,0.003147949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002010375,"about_ca_system_score_gemma":0.001434067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002438758,"about_ca_topic_score_gemma":0.00132135,"domain_scores_codex":[0.9954371,0.0006291025,0.000247276,0.0008135176,0.002505486,0.0003674523],"domain_scores_gemma":[0.9884101,0.002425739,0.0009081875,0.001351113,0.006194033,0.0007106866],"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":[0.002711576,0.0005921902,0.05581105,0.0008410571,0.000286388,0.0003708544,0.0005512387,0.1198632,0.09276365,0.02272229,0.01832787,0.6851586],"study_design_scores_gemma":[0.0001671992,0.003904241,0.02688811,0.0001451691,0.0002070702,0.001210442,0.0001710546,0.7797757,0.1208082,0.005591109,0.06099625,0.0001355049],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3313074,0.006975725,0.6093046,0.001022512,0.0009540147,0.0006392722,0.001589064,0.01138951,0.03681796],"genre_scores_gemma":[0.8425002,0.001697795,0.1417534,0.0003102523,0.0001429198,0.0001723889,0.002533638,0.0004543263,0.01043507],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005283424,"threshold_uncertainty_score":0.02794176,"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."}}