{"id":"W2095468883","doi":"10.1007/s10846-014-0085-y","title":"Multi-Camera Tracking and Mapping for Unmanned Aerial Vehicles in Unstructured Environments","year":2014,"lang":"en","type":"article","venue":"Journal of Intelligent & Robotic Systems","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"Defence Research and Development Canada; McGill University","funders":"","keywords":"Computer vision; Artificial intelligence; Takeoff; Computer science; Pose; Estimator; Global Positioning System; Suite; Engineering; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0004370534,0.0001588747,0.000378374,0.0002117693,0.0000401166,0.00008112941,0.0001063929,0.0001003507,0.000002464081],"category_scores_gemma":[0.00008590153,0.0001419553,0.00007552552,0.00008412426,0.00002318139,0.0001051824,0.000009419897,0.0001339692,0.000001856845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001176581,"about_ca_system_score_gemma":0.000008964009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001258783,"about_ca_topic_score_gemma":0.00000546045,"domain_scores_codex":[0.9986692,0.00006485153,0.0007626635,0.0001129942,0.0001783597,0.0002118999],"domain_scores_gemma":[0.9994457,0.0001247032,0.0002032589,0.00009606408,0.00004197919,0.00008822857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000189239,0.00002172809,0.001445422,0.0001470463,0.00005040903,0.000003769808,0.0003864754,0.979487,0.0152367,0.0001175533,0.00003109067,0.003053873],"study_design_scores_gemma":[0.000878776,0.00009186481,0.002467101,0.0004002592,0.00002650776,0.00005206087,0.000465536,0.9914838,0.003015432,0.00004953849,0.0009075727,0.0001615183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2098001,0.0006827544,0.7877039,0.00002517343,0.001539323,0.0002270685,0.000001083556,0.00001175194,0.000008879474],"genre_scores_gemma":[0.9930146,0.0001584056,0.006394934,0.0000154919,0.0003569855,0.000003475362,0.000003089205,0.00003354853,0.00001950105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7832145,"threshold_uncertainty_score":0.578877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02299867663010074,"score_gpt":0.2271415564736595,"score_spread":0.2041428798435587,"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."}}