{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001127205,0.00170914,0.001037012,0.001139121,0.000736123,0.00316639,0.004492673,0.002101534,0.02240095],"category_scores_gemma":[0.003582229,0.001338972,0.003139032,0.0007784193,0.00136404,0.004400188,0.003771405,0.003051533,0.00595734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007459152,"about_ca_system_score_gemma":0.001404446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008642176,"about_ca_topic_score_gemma":0.01346416,"domain_scores_codex":[0.9990029,0.000155025,0.00008239151,0.0002347337,0.0004552366,0.00006967063],"domain_scores_gemma":[0.9989423,0.00050454,0.00005008106,0.0002872505,0.0001750243,0.00004071717],"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":[0.0004816608,0.0003054658,0.001208559,0.001566288,0.0003486237,0.0004167775,0.0009916185,0.2103743,0.01249084,0.1727023,0.05533439,0.5437793],"study_design_scores_gemma":[0.00007856118,0.00004181112,0.0001712865,0.0001394556,0.00009278432,0.0001152657,0.00009742779,0.7363936,0.01037659,0.2014076,0.05104186,0.00004385204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002074565,0.0002324316,0.9771185,0.0001438788,0.00007570918,0.00008810841,0.000737594,0.01605439,0.003474839],"genre_scores_gemma":[0.06188791,0.0004723279,0.9253162,0.0002063644,0.00005212568,0.0001550875,0.003084787,0.00212918,0.006695933],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02240095,"threshold_uncertainty_score":0.07493865,"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."}}