{"id":"W4251980625","doi":"10.32920/14639049","title":"Color star tracking II: matching","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Stars; Brightness; Star (game theory); Sky; Matching (statistics); Algorithm; Computer science; Contrast (vision); Physics; Tracking (education); Artificial intelligence; Computer vision; Mathematics; Astrophysics; Optics","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":[0.0007298646,0.0008196665,0.001020356,0.001597232,0.0007230052,0.002159591,0.001705205,0.001225007,0.007730061],"category_scores_gemma":[0.001465914,0.0004455761,0.000601663,0.002531556,0.0005913315,0.00188732,0.001543574,0.0007573431,0.007206751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008697693,"about_ca_system_score_gemma":0.001170407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003584653,"about_ca_topic_score_gemma":0.0026812,"domain_scores_codex":[0.9988893,0.00008247679,0.00004585004,0.0003803469,0.0004655228,0.0001365711],"domain_scores_gemma":[0.999312,0.00006636562,0.0000724456,0.0001865727,0.0003068016,0.00005582547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004106253,0.0001647387,0.003964131,0.0001369236,0.00007898417,0.0001055097,0.00008456634,0.03276808,0.06592789,0.01304507,0.0126476,0.8706658],"study_design_scores_gemma":[0.00008702215,0.0002781378,0.004854485,0.00002998882,0.00005847429,0.0007736811,0.00005700932,0.8260729,0.1108702,0.01359813,0.04322779,0.00009215068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01225518,0.0002539536,0.9783922,0.00007037516,0.0001835883,0.0001012988,0.000177989,0.003189878,0.005375494],"genre_scores_gemma":[0.1677353,0.0004250357,0.8120157,0.0002552713,0.000174575,0.0001249173,0.001228361,0.0007079092,0.01733284],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007730061,"threshold_uncertainty_score":0.02585965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457140594822457,"score_gpt":0.2299970002674624,"score_spread":0.2154255943192378,"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."}}