{"id":"W4295137455","doi":"10.33012/navi.529","title":"Deterministic Heading-Independent Celestial Localization Measurement Model","year":2022,"lang":"en","type":"article","venue":"NAVIGATION Journal of the Institute of Navigation","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Heading (navigation); Inclinometer; Computer science; Dead reckoning; Position (finance); Calibration; Monte Carlo method; Compass; Stars; Remote sensing; Global Positioning System; Geodesy; Simulation; Computer vision; Artificial intelligence; Real-time computing; Physics; Geology; Mathematics; Telecommunications","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":[0.0008743783,0.0001569789,0.0002289618,0.0001035209,0.0003251555,0.00002818888,0.0003438919,0.0000678562,0.00001184018],"category_scores_gemma":[0.00007515648,0.0001388688,0.0001707728,0.0004622255,0.00006709633,0.0004386191,0.00004922324,0.000429514,0.000001818701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007080061,"about_ca_system_score_gemma":0.0001752632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001611642,"about_ca_topic_score_gemma":0.000004019382,"domain_scores_codex":[0.997348,0.00009973021,0.0008725134,0.0001098041,0.001416971,0.0001530545],"domain_scores_gemma":[0.9985872,0.00001703573,0.0005837573,0.0001970154,0.0005462478,0.00006874821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005161258,0.00004496697,0.0001812151,0.0000642447,0.00003098407,0.000005092885,0.0004399008,0.9318781,0.06366073,0.0004997095,0.0002103194,0.002933109],"study_design_scores_gemma":[0.001182579,0.0001847374,0.0005235898,0.0003763405,0.0001505169,0.0002605485,0.0001048199,0.9013481,0.09040629,0.003628095,0.001599095,0.0002352555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8661335,0.0001484595,0.1300492,0.0001363824,0.002949668,0.0002906853,0.00002276996,0.00004149535,0.0002278566],"genre_scores_gemma":[0.9990408,0.000007564599,0.0006454033,0.00003393907,0.0001863443,0.00001037862,0.00003699993,0.00002507357,0.00001352737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1329073,"threshold_uncertainty_score":0.5662904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02198236030243739,"score_gpt":0.2308158445086186,"score_spread":0.2088334842061812,"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."}}