{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005954419,0.0003457805,0.0004033032,0.001381472,0.0008683147,0.0003692319,0.00133328,0.0005761806,0.0001644246],"category_scores_gemma":[0.0006803763,0.0003460209,0.00009464494,0.00448159,0.001718443,0.0008684417,0.0007060238,0.00325355,0.004490616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004239329,"about_ca_system_score_gemma":0.0003282836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001144113,"about_ca_topic_score_gemma":0.00002547154,"domain_scores_codex":[0.9944579,0.0001427973,0.0005118973,0.0007965926,0.00170243,0.002388364],"domain_scores_gemma":[0.9969088,0.0005423022,0.00003493877,0.0004888417,0.001653917,0.0003712169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001107227,0.0001103079,0.003578364,0.0006546182,0.0002277862,0.0001808258,0.00622804,0.0001659065,0.04488555,0.5780634,0.3173981,0.04839633],"study_design_scores_gemma":[0.001043886,0.0004990178,0.007476324,0.000433566,0.00001587493,0.00004782562,0.0111558,0.03863814,0.02163351,0.7362279,0.1816379,0.001190269],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8361319,0.0003255236,0.000681531,0.06280664,0.0007184518,0.001667684,0.00002014635,0.008854653,0.0887935],"genre_scores_gemma":[0.9912217,0.003658955,0.0002103272,0.00004495642,0.0002759533,0.0003961727,0.000018297,0.0001164991,0.004057147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1581644,"threshold_uncertainty_score":0.9998992,"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."}}