{"id":"W4406960887","doi":"10.1007/s10489-024-06213-3","title":"Applications of pre-trained CNN models and data fusion techniques in Unity3D for connected vehicles","year":2025,"lang":"en","type":"article","venue":"Applied Intelligence","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Fusion; Artificial intelligence; Pattern recognition (psychology); Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.0002063348,0.00009892372,0.0001651813,0.0001489466,0.00004422549,0.000005296878,0.000401432,0.0001568315,0.000003474126],"category_scores_gemma":[0.0000188067,0.0001055148,0.00001095492,0.0003349147,0.0001172143,0.00006685638,0.0001476902,0.0001433222,8.42973e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002152384,"about_ca_system_score_gemma":0.00002282219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001661589,"about_ca_topic_score_gemma":0.00005174396,"domain_scores_codex":[0.9993358,0.000005718081,0.0002712347,0.0002172254,0.00003600455,0.0001339746],"domain_scores_gemma":[0.9992753,0.0001773026,0.00003013677,0.0004719881,0.00002920639,0.00001607631],"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":[0.0000488101,0.00005357451,0.0001159613,0.0002337981,0.00002781782,1.843288e-7,0.0002311888,0.00319992,0.02714339,0.4253885,0.0001327519,0.5434241],"study_design_scores_gemma":[0.0001214546,0.00002200135,0.0003629936,0.00006117612,0.00001911357,6.930643e-7,0.0002583002,0.4030848,0.370002,0.223107,0.002788964,0.0001715493],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03447937,0.0002987804,0.9609037,0.00007644968,0.00001132414,0.0008677409,0.00005226555,0.0003986347,0.002911726],"genre_scores_gemma":[0.9831319,0.0003458933,0.01606169,0.00002862242,0.000005304488,0.0003368348,0.00005570874,0.00001022829,0.00002376937],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9486526,"threshold_uncertainty_score":0.4302769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02233455380163638,"score_gpt":0.2874106393228356,"score_spread":0.2650760855211992,"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."}}