{"id":"W7115884697","doi":"10.5281/zenodo.17743077","title":"DUST : An On-Orbit Start-Tracker Benchmark for RSO Detection and Attitude Estimation","year":2025,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Spacecraft; Ephemeris; Aerospace; Benchmark (surveying); Space research; Orbiter; Drone; Pixel; Transparency (behavior)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001275067,0.002072498,0.0008224859,0.002383204,0.0007785244,0.00170197,0.00289544,0.001382184,0.003550795],"category_scores_gemma":[0.004323715,0.0003821228,0.001096828,0.002509642,0.0005847293,0.001197344,0.001724507,0.001160172,0.005486066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001167906,"about_ca_system_score_gemma":0.001162129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02420143,"about_ca_topic_score_gemma":0.04013752,"domain_scores_codex":[0.9982389,0.0002163735,0.0001706882,0.0006219121,0.0005570151,0.0001950695],"domain_scores_gemma":[0.9984382,0.0002878241,0.0001573681,0.0005257544,0.0004560668,0.000134822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00186446,0.0009931468,0.03864947,0.002265327,0.000679626,0.0006519443,0.0003638414,0.05853539,0.01138653,0.003004433,0.7654724,0.1161335],"study_design_scores_gemma":[0.001171811,0.0009503979,0.08779641,0.0005604514,0.0002565356,0.00148506,0.001091559,0.3558843,0.03560875,0.007766219,0.5071737,0.0002548492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.1784526,0.002782104,0.02574684,0.0007734367,0.0008942201,0.0006955074,0.7094697,0.06456564,0.01661987],"genre_scores_gemma":[0.0623525,0.0002047255,0.02515661,0.0001514845,0.00005273573,0.0001837257,0.9089561,0.001219443,0.001722715],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02420143,"threshold_uncertainty_score":0.04812109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04219126932541175,"score_gpt":0.3624947866093068,"score_spread":0.3203035172838951,"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."}}