{"id":"W4401781485","doi":"10.20944/preprints202408.1425.v1","title":"Development of 6DOF Hardware-In-the-Loop Ground Testbed for Autonomous Robotic Space Debris Removal","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Space Satellite Systems and Control","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Testbed; Computer science; Context (archaeology); Unmanned ground vehicle; Simulation; Software; Robotic spacecraft; Robotic arm; Robot; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001010956,0.0006691221,0.0004079984,0.0005204225,0.000337054,0.0004040381,0.001156645,0.0005868747,0.00289684],"category_scores_gemma":[0.001288437,0.0001941208,0.0002990704,0.0001567759,0.0004439815,0.0006295788,0.0006521667,0.0006903638,0.000779186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004318282,"about_ca_system_score_gemma":0.0008205899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001246249,"about_ca_topic_score_gemma":0.001242968,"domain_scores_codex":[0.9993869,0.00007779284,0.00003334412,0.00008900537,0.0002985838,0.0001144173],"domain_scores_gemma":[0.9993408,0.000109764,0.0001006547,0.0001180768,0.0001949094,0.0001357874],"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":[0.0008444789,0.001065821,0.008151637,0.0006793954,0.00007843017,0.0009056312,0.0005524246,0.09175437,0.7467306,0.005866535,0.005570125,0.1378005],"study_design_scores_gemma":[0.0004505531,0.006919895,0.01429925,0.00009171205,0.0000527664,0.0007292921,0.0002102419,0.3504024,0.5716378,0.001724999,0.05336347,0.0001175534],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2986236,0.0002024125,0.679738,0.0002230812,0.0003264737,0.001589708,0.001035916,0.01283363,0.005427119],"genre_scores_gemma":[0.6686979,0.0001279361,0.3241581,0.00009210076,0.00002751762,0.001656063,0.001450618,0.0003269755,0.003462768],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00289684,"threshold_uncertainty_score":0.00969094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06962728915141171,"score_gpt":0.296150774489655,"score_spread":0.2265234853382433,"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."}}