{"id":"W2507942249","doi":"10.2514/6.2016-5482","title":"Active Space Debris Removal by Visual Servo Controlled Autonomous Robotics","year":2016,"lang":"en","type":"article","venue":"AIAA SPACE 2016","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Else Kröner-Fresenius-Stiftung","keywords":"Artificial intelligence; Servo; Robotics; Computer science; Visual servoing; Debris; Computer vision; Space debris; Space (punctuation); Servomotor; Robot; Control engineering; Engineering; Geology; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002138269,0.000444738,0.0007253523,0.00008878708,0.00009019506,0.00007130396,0.000243139,0.0002608908,0.0002074275],"category_scores_gemma":[0.00008224069,0.0002999968,0.00023728,0.0001576466,0.00006728408,0.0002957057,0.00004748184,0.0001758957,0.001217014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002918367,"about_ca_system_score_gemma":0.00007571595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001516503,"about_ca_topic_score_gemma":0.00007488925,"domain_scores_codex":[0.9980869,0.00008233672,0.0003673194,0.000407159,0.0003033152,0.0007530073],"domain_scores_gemma":[0.9987344,0.0002913362,0.0001246629,0.0004713477,0.0001065164,0.0002717176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00151938,0.0002374218,0.0008868647,0.0001379443,0.002097094,0.0002211031,0.0008391734,0.004189514,0.5981061,0.009421216,0.2831885,0.09915565],"study_design_scores_gemma":[0.03084588,0.00048223,0.0008441163,0.0005286593,0.0003417048,0.0001391715,0.0005393383,0.03093778,0.04590193,0.0004401826,0.8866965,0.002302521],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5031571,0.03182835,0.2553877,0.04158827,0.01125736,0.007561257,0.0005208097,0.007104354,0.1415948],"genre_scores_gemma":[0.9583319,0.0005570526,0.000766166,0.0001360069,0.0005747993,0.00008303969,0.000005608128,0.000157366,0.039388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.603508,"threshold_uncertainty_score":0.9999452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004027242326262872,"score_gpt":0.2004611926512756,"score_spread":0.1964339503250127,"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."}}