{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001025985,0.0005663605,0.0004776535,0.0006039514,0.0004738204,0.0003997024,0.000867723,0.0006652054,0.00147422],"category_scores_gemma":[0.003865779,0.0003122846,0.0002342006,0.0004267046,0.0005163931,0.0006970037,0.0007956659,0.0004413781,0.0004838061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000346063,"about_ca_system_score_gemma":0.0007782803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01395998,"about_ca_topic_score_gemma":0.01322509,"domain_scores_codex":[0.9991931,0.0001834435,0.00003749941,0.00017034,0.0003060932,0.0001094813],"domain_scores_gemma":[0.9974878,0.0009183333,0.0002201368,0.0003902466,0.000769931,0.0002135988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.009194574,0.004414793,0.0848157,0.0009203775,0.0003885716,0.001080081,0.00223316,0.2257224,0.3280033,0.001593683,0.003536596,0.3380968],"study_design_scores_gemma":[0.001161226,0.01726162,0.1285851,0.0001032467,0.0001497918,0.0004792242,0.001273875,0.6424969,0.2010774,0.0009090634,0.006340119,0.0001624351],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854271,0.00002879721,0.01272952,0.0000352438,0.00003401704,0.00006698388,0.0001667309,0.0003461644,0.001165496],"genre_scores_gemma":[0.9942623,0.00001507047,0.004908066,0.00001492845,0.000003943699,0.00002765863,0.0001940076,0.00001626308,0.0005577464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01395998,"threshold_uncertainty_score":0.02775741,"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."}}