{"id":"W4313524847","doi":"10.1109/sec54971.2022.00029","title":"Poster: Distracted Driving Management","year":2022,"lang":"en","type":"article","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Distracted driving; Computer science; Control (management); Collision; Computer security; Simulation; Distraction; Artificial intelligence; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004842668,0.00005101935,0.00004798811,0.00004211652,0.0001057225,0.000004283971,0.0001255265,0.00001883552,0.001150225],"category_scores_gemma":[5.10026e-7,0.00005561538,0.00001934591,0.00009095912,0.000009275655,0.00002910641,0.0001123318,0.0001469997,0.00005066652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005543584,"about_ca_system_score_gemma":0.00000135388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001351376,"about_ca_topic_score_gemma":0.00000273609,"domain_scores_codex":[0.999667,0.000005491736,0.00007864433,0.00007196296,0.00005406462,0.0001228384],"domain_scores_gemma":[0.9998351,0.00000641264,0.000005934113,0.0001358604,0.000001807663,0.00001490656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003022773,0.000318494,0.04627511,0.0001680898,0.0007466662,0.0007368356,0.0008229234,0.07752527,0.007901911,0.2297372,0.03596958,0.5997677],"study_design_scores_gemma":[0.001098556,0.0001309658,0.4033586,0.000009584314,0.00005905018,0.0001534486,0.001480968,0.06824198,0.006183692,0.004212416,0.514057,0.00101369],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6943486,0.00005599378,0.004169556,0.0003438047,0.0002567614,0.0001272403,0.000005016771,0.002690625,0.2980024],"genre_scores_gemma":[0.9977131,0.000006540436,0.0003406592,0.00005247927,0.000005613073,0.00002780183,0.00000749007,0.00001070647,0.001835597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.598754,"threshold_uncertainty_score":0.9997628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003136979267573088,"score_gpt":0.168297880492281,"score_spread":0.1651609012247079,"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."}}