{"id":"W2041627073","doi":"10.1117/12.716341","title":"World representations for unmanned vehicles","year":2007,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Representation (politics); Computer science; Terrain; Class (philosophy); Unmanned ground vehicle; Traverse; Remotely operated underwater vehicle; Artificial intelligence; Real-time computing; Robot; Mobile robot; Geography","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":[0.0006663564,0.0009811639,0.0006201128,0.001067287,0.0006799839,0.003433973,0.00167595,0.001118249,0.006817333],"category_scores_gemma":[0.00310092,0.0004459566,0.001400518,0.00158893,0.0009389485,0.004233215,0.002584104,0.002214547,0.003955054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069201,"about_ca_system_score_gemma":0.000731769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003318286,"about_ca_topic_score_gemma":0.002333437,"domain_scores_codex":[0.9990971,0.0002098689,0.00008787485,0.0001605221,0.0003690961,0.00007556928],"domain_scores_gemma":[0.9992923,0.000188682,0.0001119473,0.0001674083,0.0001902587,0.00004937513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004061805,0.00002934592,0.0003038103,0.0001982128,0.00002598888,0.0001457698,0.0003376104,0.11717,0.001902127,0.6791698,0.01775849,0.1829183],"study_design_scores_gemma":[0.00001947468,0.00003870502,0.0002397484,0.000145347,0.00002383826,0.0001751294,0.0002696606,0.4378428,0.001846528,0.3626651,0.1966896,0.00004408128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001086466,0.0006813141,0.9879682,0.0002261688,0.0001475915,0.00007253091,0.0004607482,0.001075876,0.00828111],"genre_scores_gemma":[0.1067191,0.003962671,0.8697909,0.0003461807,0.0002616348,0.0006235027,0.004252339,0.000569763,0.01347387],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006817333,"threshold_uncertainty_score":0.02280629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381803898935546,"score_gpt":0.2417672453299324,"score_spread":0.2279492063405769,"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."}}