{"id":"W4399144556","doi":"10.1109/vrw62533.2024.00258","title":"Prototyping Autonomous Vehicle Lane Detection for Snow in VR","year":2024,"lang":"en","type":"article","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de Recherche du Québec-Société et Culture; Canada Research Chairs","keywords":"Autopilot; Computer science; Snow; Feature (linguistics); Virtual reality; Real-time computing; Simulation; Artificial intelligence; Engineering; Aerospace engineering; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009119444,0.0007667087,0.0003978687,0.0004918761,0.0002332604,0.001181609,0.002048539,0.0009297579,0.00625773],"category_scores_gemma":[0.002974645,0.0006739721,0.0007255427,0.0001495508,0.000450427,0.001010069,0.001287321,0.0008753242,0.002152008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004488482,"about_ca_system_score_gemma":0.0006692462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00521224,"about_ca_topic_score_gemma":0.007910895,"domain_scores_codex":[0.9993637,0.0001326607,0.00002316402,0.0001037494,0.0002677574,0.0001089065],"domain_scores_gemma":[0.999072,0.0003861416,0.00003624245,0.0001298505,0.0002497788,0.000126051],"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":[0.001356674,0.001101284,0.005992739,0.0008469075,0.0002782938,0.001598519,0.002405004,0.2401498,0.308813,0.006879,0.02180357,0.4087752],"study_design_scores_gemma":[0.0001803212,0.0007429474,0.003314053,0.0001036269,0.00005527462,0.0004877134,0.0004893898,0.8840581,0.06484211,0.002552178,0.04307024,0.0001040529],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.181575,0.0002769579,0.7827834,0.000400593,0.0002443448,0.0005861968,0.000815,0.02228926,0.0110292],"genre_scores_gemma":[0.4964129,0.0001940662,0.4947613,0.0001937904,0.00002827474,0.0002582413,0.001325176,0.001213854,0.005612403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00625773,"threshold_uncertainty_score":0.02093422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007627342414749654,"score_gpt":0.2195700982155186,"score_spread":0.211942755800769,"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."}}