{"id":"W4410439504","doi":"10.22214/ijraset.2025.70867","title":"Lane Detection for Autonomous Vehicles","year":2025,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Aeronautics; Artificial intelligence; Computer vision; Engineering","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":[0.000255644,0.0004258956,0.0003056734,0.001176836,0.0002335866,0.0006175481,0.0007657405,0.000553865,0.003101511],"category_scores_gemma":[0.001017442,0.0003218594,0.0003456573,0.0005016541,0.0001854824,0.0006437384,0.0005296774,0.0003791763,0.001578606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002170182,"about_ca_system_score_gemma":0.00032834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001449345,"about_ca_topic_score_gemma":0.001333147,"domain_scores_codex":[0.9996969,0.00004880834,0.000008451652,0.00007024319,0.0001332605,0.00004243325],"domain_scores_gemma":[0.9996457,0.00007027906,0.0000310369,0.00005476274,0.0001756946,0.00002265424],"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":[0.0002292185,0.00009735162,0.00168886,0.0001852206,0.00005346825,0.0001027111,0.0001414209,0.02782609,0.1343417,0.004158519,0.004133464,0.827042],"study_design_scores_gemma":[0.0000451503,0.0003398878,0.005682428,0.00005120671,0.00005415112,0.0005847664,0.0001408066,0.8025168,0.1441957,0.0120158,0.03428948,0.00008377593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03550443,0.0007220969,0.9545599,0.00008640538,0.00008827695,0.00005030828,0.0001445285,0.005923588,0.002920611],"genre_scores_gemma":[0.6120161,0.0005163127,0.380414,0.0001013804,0.000081145,0.00007443778,0.0006117697,0.000445369,0.005739544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003101511,"threshold_uncertainty_score":0.01037556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02585063963054196,"score_gpt":0.3471422856310883,"score_spread":0.3212916460005463,"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."}}