{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001661004,0.00008343346,0.0001130611,0.002377665,0.0002111837,0.00007587466,0.0006249865,0.0001641899,8.980447e-7],"category_scores_gemma":[0.0002564148,0.00008554151,0.00001981825,0.0008401306,0.00029746,0.00009416439,0.0001037603,0.0005403459,0.00000154724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004237888,"about_ca_system_score_gemma":0.0001013497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001917103,"about_ca_topic_score_gemma":0.00000675726,"domain_scores_codex":[0.9989844,0.00000261816,0.0002032236,0.0001841107,0.0002034865,0.0004221559],"domain_scores_gemma":[0.9994618,0.0001387097,0.00001541777,0.0001060968,0.000238597,0.00003936524],"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":[0.00005656879,0.00002257058,0.0001377397,0.00004736179,0.00004300984,0.000007203691,0.00004306982,0.009470855,0.2586158,0.2359556,0.0001978232,0.4954024],"study_design_scores_gemma":[0.001452513,0.0001256321,0.0009795678,0.00009791706,0.000005329442,0.0001197604,0.0002794567,0.5735993,0.1615117,0.1777178,0.08386654,0.000244413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6009949,0.0006947882,0.3850822,0.006784895,0.002286789,0.001006469,0.00001450219,0.0009787775,0.002156645],"genre_scores_gemma":[0.9937156,0.0001157324,0.005853469,0.00001659662,0.00005013283,0.0002084349,7.662632e-7,0.00001012014,0.00002910238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5641285,"threshold_uncertainty_score":0.3488281,"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."}}