{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":1,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":1,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"d6e59325f672","filters":{"venue":"AIAA SPACE 2014 Conference and Exposition"}},"results":[{"id":"W2319047305","doi":"10.2514/6.2014-4263","title":"Vision-based Pose and Motion Estimation of Non-cooperative Target for Space Robotic Manipulators","year":2014,"lang":"en","type":"article","venue":"AIAA SPACE 2014 Conference and Exposition","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; National Center for Theoretical Sciences","keywords":"Computer vision; Artificial intelligence; Pose; Kalman filter; Computer science; Optical flow; Motion estimation; Extended Kalman filter; Photogrammetry; 3D pose estimation; Convergence (economics); Image (mathematics)","authors":[{"name":"Gangqi Dong","is_ca":true},{"name":"Zheng Zhu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007251796876834158,"gpt":0.2209608206057246,"spread":0.2137090237288904,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003520471,0.0005415349,0.0003889791,0.0004228584,0.0002085929,0.000331866,0.0004411261,0.0004528578,0.0006773502],"category_scores_gemma":[0.0008000455,0.000268414,0.0003282311,0.0002862438,0.0002934492,0.0007906895,0.0004466844,0.0004638474,0.0003620129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002710714,"about_ca_system_score_gemma":0.0005413185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002437993,"about_ca_topic_score_gemma":0.002678796,"domain_scores_codex":[0.9997148,0.00004374095,0.00001236018,0.00007740889,0.0001280023,0.00002359944],"domain_scores_gemma":[0.9997848,0.00003949941,0.0000477409,0.00003507559,0.00008125812,0.00001156181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001543049,0.00008233322,0.002511899,0.0001777936,0.00006698337,0.0002432671,0.0003757138,0.2933111,0.1640131,0.008344137,0.0009943052,0.529725],"study_design_scores_gemma":[0.00001762187,0.0002597355,0.003771279,0.00001655905,0.00002476381,0.0002190844,0.0000490589,0.955246,0.03489712,0.002354844,0.003111825,0.00003213826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0221753,0.0003155096,0.9761792,0.00003139253,0.00002612753,0.00001646159,0.0000113701,0.0003314623,0.0009130765],"genre_scores_gemma":[0.803117,0.0005285448,0.1921648,0.00004765566,0.0000480353,0.00006337292,0.00009303213,0.00004134391,0.00389629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002437993,"threshold_uncertainty_score":0.004847646,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}