{"id":"W2328964884","doi":"10.2514/6.2004-4987","title":"Lidar-Based Rendezvous Navigation for MSR","year":2004,"lang":"en","type":"article","venue":"AIAA/AAS Astrodynamics Specialist Conference and Exhibit","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"Centre National d’Etudes Spatiales; National Aeronautics and Space Administration","keywords":"Rendezvous; Lidar; Computer science; Remote sensing; Environmental science; Geology; Aerospace engineering; Engineering","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":[0.0002284243,0.0003336695,0.0004780181,0.0002995384,0.0004082021,0.0003488298,0.000479255,0.0004891696,0.00191038],"category_scores_gemma":[0.0007521656,0.0001517855,0.000382905,0.0002911082,0.0002957157,0.0003674035,0.0004490881,0.0003948181,0.0002872454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006617511,"about_ca_system_score_gemma":0.0005193006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02469564,"about_ca_topic_score_gemma":0.0186618,"domain_scores_codex":[0.9998448,0.000037123,0.000004654613,0.00002386377,0.00006523485,0.00002438243],"domain_scores_gemma":[0.9997812,0.00009390881,0.00002259989,0.00002698192,0.00005366273,0.00002160661],"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":[0.0001046647,0.00003718351,0.001718738,0.00001815864,0.00001525202,0.00008865879,0.00006047429,0.9908194,0.002899576,0.000699974,0.0001635224,0.003374292],"study_design_scores_gemma":[0.00001999339,0.000102246,0.001053874,0.000002758378,0.0000042839,0.00002251579,0.00004307174,0.9954522,0.002426906,0.0002725634,0.0005925138,0.000007144045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740658,0.0001052726,0.01774126,0.0001206102,0.00002151167,0.00003913028,0.0003271404,0.0004028885,0.007176391],"genre_scores_gemma":[0.9958503,0.00002395028,0.002927692,0.000008904002,0.000001486034,0.00001382044,0.0001512293,0.00001886632,0.001003767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02469564,"threshold_uncertainty_score":0.0491038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232887377561798,"score_gpt":0.2353164812940132,"score_spread":0.2229876075183952,"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."}}