{"id":"W6968416535","doi":"10.5281/zenodo.15851301","title":"Dynamic-Spacecraft Pose Estimation Dataset (D-SPEED)","year":2025,"lang":"en","type":"dataset","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Pose; Rendering (computer graphics); Motion estimation; Minimum bounding box; Trajectory; Bounding overwatch; Bundle adjustment; Workflow","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":[0.0008354624,0.003546577,0.001148518,0.001591329,0.000588526,0.001044513,0.002142161,0.001506714,0.01041305],"category_scores_gemma":[0.002281806,0.0004265007,0.001468176,0.001835022,0.0005233402,0.0007977958,0.00144459,0.001599506,0.01380411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007209411,"about_ca_system_score_gemma":0.001038979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01192443,"about_ca_topic_score_gemma":0.02852214,"domain_scores_codex":[0.9989136,0.0001722524,0.00008515915,0.0003407016,0.0003689287,0.0001193763],"domain_scores_gemma":[0.9992676,0.0001286594,0.0000724399,0.0002304919,0.0002292439,0.00007159745],"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":[0.0007359621,0.0004925335,0.008468352,0.001759392,0.0003614888,0.0004088029,0.00009187593,0.05211621,0.005951461,0.002189357,0.8138005,0.1136241],"study_design_scores_gemma":[0.0007028645,0.0009542384,0.03781592,0.0008161092,0.0002120118,0.002032072,0.0005802006,0.288726,0.02635275,0.007222233,0.6342935,0.0002920645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04573525,0.002464298,0.04351709,0.000553737,0.001106576,0.0006621458,0.8629453,0.0268422,0.01617338],"genre_scores_gemma":[0.0364206,0.0003023568,0.02054667,0.0001359591,0.00004568406,0.0002884542,0.9394328,0.0005806441,0.002246928],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01192443,"threshold_uncertainty_score":0.0348351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00931653146074322,"score_gpt":0.2694597731750431,"score_spread":0.2601432417142999,"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."}}