{"id":"W2046350116","doi":"10.1002/rob.21412","title":"Field testing of visual odometry aided by a sun sensor and inclinometer","year":2012,"lang":"en","type":"article","venue":"Journal of Field Robotics","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"Canadian Space Agency","keywords":"Inclinometer; Odometry; Visual odometry; Computer vision; Artificial intelligence; Odometer; Computer science; Inertial measurement unit; Remote sensing; Geology; Geodesy; Robot; Mobile robot","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001901732,0.00009237901,0.0002196524,0.0001231598,0.00002474336,0.00001843914,0.0000590751,0.0001154444,0.0000204633],"category_scores_gemma":[0.0004943578,0.00008146781,0.00005073098,0.0001524182,0.00001234711,0.0001345756,0.0000184628,0.000222306,8.712985e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001376125,"about_ca_system_score_gemma":0.000008833848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004871296,"about_ca_topic_score_gemma":5.198265e-7,"domain_scores_codex":[0.9992162,0.00001980716,0.000412974,0.0000414705,0.000147035,0.0001624889],"domain_scores_gemma":[0.9989961,0.0005906379,0.0001334806,0.00006846117,0.0001082252,0.0001030952],"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":[0.0001175993,0.0003912449,0.2707613,0.000711797,0.0003594963,0.00003491517,0.001005975,0.5979994,0.08705122,0.0003815084,0.01425224,0.02693333],"study_design_scores_gemma":[0.003100717,0.003853898,0.01192484,0.0007152357,0.0005009606,0.0004966229,0.0008237959,0.6905957,0.2843412,0.0003617993,0.002174947,0.001110202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6876813,0.0009946303,0.3099282,0.0002632639,0.0005885932,0.00005018649,0.000001671965,0.00001663849,0.0004755332],"genre_scores_gemma":[0.9724538,0.0001044072,0.0270141,0.000167242,0.0002183217,1.199267e-7,7.921499e-7,0.00001451248,0.00002670461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2847725,"threshold_uncertainty_score":0.3322161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715869859534554,"score_gpt":0.248490493619676,"score_spread":0.2313317950243305,"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."}}