{"id":"W2171673086","doi":"10.1109/coase.2008.4626420","title":"Track-stair and vehicle-manipulator interaction analysis for tracked mobile manipulators climbing stairs","year":2008,"lang":"en","type":"article","venue":"","topic":"Robotic Locomotion and Control","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Stair climbing; Climb; Stairs; Track (disk drive); Mobile robot; Workspace; Simulation; Computer science; Robot; Nonholonomic system; Engineering; Artificial intelligence; Aerospace engineering; Structural engineering","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":[0.00008972375,0.0001679089,0.0002844144,0.0002162021,0.0001276686,0.00003676462,0.00006719489,0.0000831184,0.0001484536],"category_scores_gemma":[0.00001484105,0.0001622621,0.0001786419,0.0002750209,0.00002490948,0.000255057,0.000009475341,0.0001045897,0.00001450697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007326592,"about_ca_system_score_gemma":0.000009380199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000230383,"about_ca_topic_score_gemma":0.00004913663,"domain_scores_codex":[0.9990972,0.0000157293,0.0003109415,0.0002159581,0.0001158866,0.0002442623],"domain_scores_gemma":[0.9995301,0.00006816877,0.00003564737,0.0001740916,0.0000436844,0.000148251],"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":[0.00007792352,0.0001542711,0.03002024,0.0001285651,0.001516351,0.00001646307,0.001175234,0.9437016,0.003166146,0.003663993,0.001149171,0.01523008],"study_design_scores_gemma":[0.001047936,0.00008208631,0.02312455,0.000006412091,0.0002509184,0.00001354181,0.000997632,0.9713181,0.001424623,0.00006041287,0.00139885,0.0002749349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8396256,0.00009938189,0.1584142,0.00004679655,0.0001968351,0.000402693,0.000004225772,0.0004069012,0.0008033285],"genre_scores_gemma":[0.9982894,0.00004970182,0.0009788041,0.00005565727,0.00006371877,0.00009906939,0.00001893044,0.00003215712,0.0004125561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1586638,"threshold_uncertainty_score":0.6616858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02189524603187412,"score_gpt":0.2342693619668932,"score_spread":0.2123741159350191,"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."}}