{"id":"W7132998882","doi":"","title":"Design and Development of the Artemis Autonomous Vehicle for the SAE/GM AutoDrive Challenge II Year 2","year":2024,"lang":"","type":"dissertation","venue":"TSpace","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Competition (biology); Perception; Autonomy; Series (stratigraphy); General motors","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0004291727,0.0003271461,0.0001654203,0.0003026339,0.0003131889,0.0009078541,0.0005544606,0.0005039217,0.003181404],"category_scores_gemma":[0.0003068433,0.0002197216,0.0002443283,0.0000926366,0.0002180478,0.000337233,0.0004396241,0.0004313019,0.001536414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007855057,"about_ca_system_score_gemma":0.001449706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003287192,"about_ca_topic_score_gemma":0.004084429,"domain_scores_codex":[0.9997014,0.00002381143,0.000006833281,0.00003707922,0.0001823407,0.00004855104],"domain_scores_gemma":[0.9998481,0.000009372153,0.000007618525,0.00001258031,0.00008897268,0.00003337497],"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":[0.000399748,0.0002548814,0.006787711,0.0004796729,0.00006179754,0.0006910657,0.001846813,0.1247613,0.3759056,0.03998336,0.03899781,0.4098303],"study_design_scores_gemma":[0.0001390608,0.003021257,0.01118951,0.0001125923,0.00005676819,0.0006066583,0.000759979,0.211386,0.2195685,0.003326148,0.5497348,0.0000987634],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3434575,0.001049724,0.5124058,0.0008515728,0.0005193863,0.001187252,0.0007091028,0.004598863,0.1352209],"genre_scores_gemma":[0.752478,0.0004984589,0.1554718,0.0001628829,0.00004418572,0.0006365344,0.001056738,0.0003039306,0.0893475],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003287192,"threshold_uncertainty_score":0.01064283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02141313955417786,"score_gpt":0.2695833846344545,"score_spread":0.2481702450802767,"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."}}