{"id":"W4403842289","doi":"10.1007/978-3-031-73347-5_17","title":"Reason2Drive: Towards Interpretable and Chain-Based Reasoning for Autonomous Driving","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Multimodal Machine Learning Applications","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Computer science; Artificial intelligence; Chain (unit)","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001029272,0.0005443784,0.0005201021,0.0007886565,0.0003579109,0.001075383,0.002311407,0.0002837523,0.000008940578],"category_scores_gemma":[0.0003046259,0.0005186336,0.0001446149,0.000492982,0.0004647879,0.0003161879,0.001302895,0.0009367312,0.00001929009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003719504,"about_ca_system_score_gemma":0.000703525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000129191,"about_ca_topic_score_gemma":0.00006906362,"domain_scores_codex":[0.9964254,0.00002405377,0.0004494163,0.001973613,0.0004661056,0.0006614107],"domain_scores_gemma":[0.9972869,0.000757225,0.0002323222,0.001263585,0.0002490486,0.0002109453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004578808,0.0000157602,0.0001402,0.0001459888,0.00001945182,0.00001828286,0.001142903,0.05391665,0.0001606424,0.09480866,0.0000123972,0.8496145],"study_design_scores_gemma":[0.0001764321,0.0001149856,0.0002455688,0.0008126942,0.00001535781,0.00003721599,1.521675e-7,0.9356027,0.0002322852,0.05948994,0.002755046,0.0005176254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0002096578,0.0006825259,0.9917254,0.002778651,0.0008872741,0.0007401755,0.000009746193,0.0004819144,0.00248461],"genre_scores_gemma":[0.3497646,0.00001064361,0.648533,0.0007840634,0.0002614784,0.00007809116,0.000007116198,0.00005669207,0.0005043424],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.881686,"threshold_uncertainty_score":0.9999616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00964357850915667,"score_gpt":0.2681516925535321,"score_spread":0.2585081140443754,"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."}}