{"id":"W2059002337","doi":"10.1109/itsc.2012.6338721","title":"Motion stereo-based collision avoidance for an intelligent smart car door system","year":2012,"lang":"en","type":"article","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Collision avoidance; Computer science; Collision; Kinematics; Collision avoidance system; Advanced driver assistance systems; Controller (irrigation); Simulation; Engineering; Artificial intelligence; Computer security","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":[0.0002123998,0.0001974029,0.0002489651,0.0002672292,0.0002463514,0.0002701202,0.0006355776,0.0003556244,0.002410658],"category_scores_gemma":[0.0004454048,0.0002107687,0.0002611281,0.0001003627,0.000149358,0.000292008,0.0004394651,0.0002302032,0.0004684326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002390615,"about_ca_system_score_gemma":0.00042884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001419448,"about_ca_topic_score_gemma":0.001725267,"domain_scores_codex":[0.999824,0.00001896477,0.000006742323,0.00003917488,0.00008014151,0.00003103391],"domain_scores_gemma":[0.9998316,0.00003551892,0.00002088438,0.00002653449,0.00006087351,0.00002456619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006774863,0.0002463228,0.002761492,0.0001582909,0.00004509794,0.0005613458,0.0005385039,0.02501877,0.6529036,0.004188938,0.003027981,0.3098722],"study_design_scores_gemma":[0.0002643803,0.0008953556,0.007530381,0.00002732914,0.0001062631,0.0009211149,0.0001737225,0.7850438,0.1847284,0.001676367,0.0185467,0.00008623218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1439598,0.0001603016,0.8469113,0.00009465716,0.00007468506,0.0001086809,0.00009292189,0.003982,0.004615706],"genre_scores_gemma":[0.8382089,0.00006890558,0.1583746,0.00009954363,0.00002254948,0.00006953044,0.0001127518,0.00006028162,0.002982973],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002410658,"threshold_uncertainty_score":0.008064449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826983444866409,"score_gpt":0.2319261161305453,"score_spread":0.2136562816818812,"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."}}