{"id":"W4406433534","doi":"10.1109/ic3i61595.2024.10828580","title":"Enhancing Autonomous Vehicle Navigation with Real-Time Object Detection Using Convolutional Neural Networks","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Convolutional neural network; Computer science; Artificial intelligence; Object detection; Computer vision; Object (grammar); Pattern recognition (psychology)","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":[0.0001285118,0.0001506315,0.0001116989,0.00007546628,0.0002806374,0.0002148263,0.0002391264,0.00005857894,0.00001441889],"category_scores_gemma":[0.000003973277,0.0001316659,0.00004428366,0.000880654,0.00005002246,0.0009138147,0.00009415107,0.0001979633,0.00004439758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002053822,"about_ca_system_score_gemma":0.00007011216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000684418,"about_ca_topic_score_gemma":0.00003102596,"domain_scores_codex":[0.9987477,0.00004371574,0.0002184136,0.0004935342,0.0001972546,0.0002994044],"domain_scores_gemma":[0.9993238,0.0001568286,0.00005918511,0.0003104219,0.00007065756,0.00007911638],"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":[0.00001316894,0.00002236168,0.00006451656,0.00001672522,0.00002528504,0.00002692435,0.000123251,0.7666559,0.1772179,0.01597541,0.00003487968,0.03982373],"study_design_scores_gemma":[0.00008261348,0.000057148,0.0003667536,0.00003544531,0.000009638014,0.0001455843,0.000005225013,0.9869524,0.01120458,0.0008635163,0.0001069337,0.0001701979],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1849815,0.00008106793,0.8131708,0.000144941,0.0001992406,0.0001973362,7.127165e-7,0.0009007666,0.0003236527],"genre_scores_gemma":[0.9470999,0.000005319596,0.05231509,0.00006893734,0.0002299399,0.00003273401,0.000008098639,0.00001950755,0.0002205151],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7621184,"threshold_uncertainty_score":0.5369181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135950399418019,"score_gpt":0.2517524045202488,"score_spread":0.2403929005260686,"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."}}