{"id":"W4296438164","doi":"10.1109/taes.2022.3207705","title":"MarsSim: A high-fidelity physical and visual simulation for Mars rovers","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Aerospace and Electronic Systems","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Terrain; Martian; Mars Exploration Program; Computer science; Plug-in; Haptic technology; Simulation; Aerospace engineering; Torque; Exploration of Mars; Engineering; Astrobiology; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004136896,0.0007838854,0.0005380535,0.0004628825,0.0003310996,0.0007179771,0.001755198,0.0008265538,0.00855471],"category_scores_gemma":[0.0009698443,0.0004480979,0.0006833571,0.0003445471,0.0003931402,0.000652592,0.001158752,0.001033896,0.001129675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003472051,"about_ca_system_score_gemma":0.0007881194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006757831,"about_ca_topic_score_gemma":0.006693076,"domain_scores_codex":[0.9997788,0.00004303965,0.00001516736,0.00002844124,0.0001053472,0.00002920174],"domain_scores_gemma":[0.9997042,0.0001032972,0.00002281924,0.0000528766,0.00006678105,0.00005005883],"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":[0.0002531415,0.0001809576,0.004182222,0.000325268,0.0001408996,0.0002294679,0.0002655287,0.9236404,0.01420758,0.00757791,0.01985954,0.0291371],"study_design_scores_gemma":[0.00007426257,0.00005863509,0.0006310206,0.00001727091,0.00001321306,0.00004890696,0.00003348135,0.9727314,0.003757828,0.001145661,0.02146602,0.0000223994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1773983,0.0006431565,0.7112359,0.0006800129,0.0004656509,0.0006962434,0.01354752,0.06022731,0.03510589],"genre_scores_gemma":[0.7471671,0.0006449288,0.2122595,0.0002184116,0.00006551965,0.0009894932,0.02017697,0.00653254,0.01194559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00855471,"threshold_uncertainty_score":0.02861834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009517966864292132,"score_gpt":0.2479905386971596,"score_spread":0.2384725718328675,"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."}}