{"id":"W2138215666","doi":"10.1177/0278364911433135","title":"The Devon Island rover navigation dataset","year":2012,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency; National Institute of Standards and Technology; University of Toronto","keywords":"Traverse; Computer science; Global Positioning System; Ground truth; Computer vision; Artificial intelligence; Digital elevation model; Compass; Differential GPS; Remote sensing; Theodolite; Elevation (ballistics); Position (finance); Geology; Geodesy; Geography; Cartography; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003183402,0.001490517,0.0009372999,0.001827859,0.0007586465,0.0008023248,0.00203609,0.0009291472,0.00727777],"category_scores_gemma":[0.001352708,0.0003296687,0.0005971466,0.003346943,0.0003361699,0.0005646139,0.0009525956,0.001152813,0.009800243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001180052,"about_ca_system_score_gemma":0.002014164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2874254,"about_ca_topic_score_gemma":0.5162815,"domain_scores_codex":[0.9995151,0.00004646097,0.00002678591,0.0001313933,0.0002017316,0.00007858753],"domain_scores_gemma":[0.9992257,0.00007451066,0.00003384586,0.0001836611,0.0003957482,0.00008652591],"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":[0.0002313302,0.0001552676,0.009050458,0.0005308635,0.0001452293,0.0002872081,0.0001375744,0.006792072,0.002189923,0.0006640674,0.9460973,0.03371881],"study_design_scores_gemma":[0.000257992,0.00008559947,0.04511507,0.0002019986,0.0000787748,0.0002908968,0.0005361951,0.01882132,0.00467014,0.001089765,0.9287255,0.0001267639],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01544798,0.0005226239,0.001584414,0.0001571943,0.000140224,0.0001229233,0.9723889,0.003254215,0.006381623],"genre_scores_gemma":[0.006042892,0.00009601512,0.002103501,0.00002943634,0.000009441459,0.00007141936,0.990167,0.0001203554,0.001359857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2874254,"threshold_uncertainty_score":0.5715047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05717120739762911,"score_gpt":0.3583620595805279,"score_spread":0.3011908521828988,"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."}}