{"id":"W2027171914","doi":"10.1155/2013/549080","title":"A Low-Cost Photodiode Sun Sensor for CubeSat and Planetary Microrover","year":2013,"lang":"en","type":"article","venue":"International Journal of Aerospace Engineering","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"CubeSat; Photodiode; Satellite; Computer science; Simple (philosophy); Heading (navigation); Remote sensing; Electronic engineering; Aerospace engineering; Engineering; Optics; Physics; Geography","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":[0.00007448521,0.0001282415,0.0001480971,0.0001186856,0.00001959433,0.00007482257,0.0001222353,0.00005938005,0.00003655787],"category_scores_gemma":[0.0000414633,0.0001236588,0.00006990756,0.00003986609,0.0000126277,0.0002832039,0.00001259018,0.0001496507,0.00001063102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007054942,"about_ca_system_score_gemma":0.000005678393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002041435,"about_ca_topic_score_gemma":0.000002253259,"domain_scores_codex":[0.9993403,0.000004075406,0.0002520279,0.00007107723,0.0001741072,0.0001584305],"domain_scores_gemma":[0.9995843,0.00009278352,0.00005549076,0.00004434887,0.0001515622,0.00007148503],"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":[0.00004913706,0.00002151926,0.0009826919,0.00007989629,0.0002834404,0.00002523442,0.0002630683,0.3923422,0.5979003,0.0001303225,0.004522247,0.003399943],"study_design_scores_gemma":[0.003032755,0.0001612838,0.01119791,0.0004725363,0.00006390773,0.0007844795,0.0001223775,0.4717589,0.4943413,0.00009414842,0.01733826,0.0006321067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706469,0.0002846703,0.02710591,0.0002954309,0.001297049,0.0001869655,0.00002372455,0.00005214286,0.0001072625],"genre_scores_gemma":[0.9919342,0.0001252578,0.007227395,0.00005412157,0.0005680243,0.000007530729,0.00001082216,0.00003098289,0.00004170018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.103559,"threshold_uncertainty_score":0.504266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0039233113235112,"score_gpt":0.1922637772598734,"score_spread":0.1883404659363622,"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."}}