{"id":"W4386246157","doi":"10.24908/iqurcp16764","title":"NSERC USRA Research Paper","year":2023,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Python (programming language); Computer science; Cruise control; Disk formatting; Onboarding; Real-time computing; Multimedia; Human–computer interaction; Artificial intelligence; Control (management); Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003370769,0.001199323,0.001078038,0.003853743,0.002548708,0.01000691,0.002584991,0.002646223,0.6299109],"category_scores_gemma":[0.01056611,0.0005336407,0.000942704,0.004291057,0.001340215,0.005088194,0.004719926,0.002252035,0.4348173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004322192,"about_ca_system_score_gemma":0.01118075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01286206,"about_ca_topic_score_gemma":0.0153774,"domain_scores_codex":[0.9949943,0.0007019163,0.0004013878,0.001099172,0.002319054,0.0004840461],"domain_scores_gemma":[0.9905973,0.00111566,0.0004433709,0.001582272,0.004667655,0.001593684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001868806,0.0001218674,0.000816676,0.0005715144,0.00001912654,0.0004188774,0.000449812,0.0003192021,0.0007486501,0.05169738,0.6799312,0.2647188],"study_design_scores_gemma":[0.0000061981,0.00001341619,0.0002075094,0.000125936,0.00000313624,0.00007197094,0.0001045241,0.00007230294,0.000125535,0.001572448,0.9976923,0.000004645417],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001445443,0.004340679,0.004183468,0.01186391,0.01094077,0.000272434,0.006897518,0.001269549,0.9587862],"genre_scores_gemma":[0.008076077,0.003247926,0.002796826,0.001452963,0.001042018,0.0001144183,0.004835465,0.0006376948,0.9777966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6299109,"threshold_uncertainty_score":0.5278872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.14159985330735,"score_gpt":0.3822881218415242,"score_spread":0.2406882685341742,"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."}}