{"id":"W4416662255","doi":"10.1016/j.robot.2025.105261","title":"Enhancing vehicle lane change prediction via transfer learning infused with social interaction dynamics","year":2025,"lang":"en","type":"article","venue":"Robotics and Autonomous Systems","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adaptability; Transfer of learning; Precision and recall; Transfer (computing); Recall; Deep learning; Dynamics (music)","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001394465,0.0001724824,0.0002527431,0.0001376326,0.0002550818,0.00005197905,0.00006814922,0.0002291465,0.000002667512],"category_scores_gemma":[0.000002860567,0.0001689525,0.0000305215,0.0001706704,0.00004247379,0.0001482941,0.00001829495,0.0004007365,0.000005487449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002163587,"about_ca_system_score_gemma":0.00001919997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009473584,"about_ca_topic_score_gemma":0.000205817,"domain_scores_codex":[0.9991959,0.00003081667,0.0002728569,0.000189012,0.00006982255,0.0002415749],"domain_scores_gemma":[0.9997727,0.00003219814,0.00003037394,0.0001002101,0.00003218674,0.00003235655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009127645,0.0001084767,0.02157431,0.001368617,0.0005816924,0.00002976127,0.003856121,0.8572695,0.01319244,0.03830944,0.00004203386,0.06357633],"study_design_scores_gemma":[0.0004638948,0.00007958748,0.006448523,0.0001383567,0.00005823387,0.00001850075,0.0005552677,0.9904703,0.0005497642,0.00004433397,0.0009807916,0.0001923799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5179002,0.0004473115,0.4766363,0.0002907957,0.0007723774,0.0004564533,0.00001357316,0.001345416,0.002137601],"genre_scores_gemma":[0.9993621,0.00004900897,0.0001262412,0.00001752577,0.0001044251,0.00004697775,0.0000314365,0.00002851793,0.0002338062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4814619,"threshold_uncertainty_score":0.6889682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00735317430260381,"score_gpt":0.1980717680493453,"score_spread":0.1907185937467415,"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."}}