{"id":"W3109059966","doi":"10.1109/ccece47787.2020.9255732","title":"Training a Neural Network for Lane Demarcation Detection in the Infrared Spectrum","year":2020,"lang":"en","type":"article","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Government of Canada; Transport Canada","keywords":"Artificial neural network; Computer science; Infrared; Training (meteorology); Spectrum (functional analysis); Artificial intelligence; Optics; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004433395,0.0007112636,0.0003656013,0.0003968225,0.0002625012,0.000382125,0.0008900753,0.0006378557,0.001139631],"category_scores_gemma":[0.0008258853,0.0003413738,0.0003485253,0.0002722532,0.0002944887,0.0006571465,0.0004938638,0.0007873842,0.0004854639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006614625,"about_ca_system_score_gemma":0.0006392956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01597911,"about_ca_topic_score_gemma":0.02193078,"domain_scores_codex":[0.9998609,0.00001499416,0.000005872159,0.00005408054,0.00002290895,0.0000413405],"domain_scores_gemma":[0.9997986,0.00006226186,0.00002253477,0.00002397393,0.00007604469,0.00001660951],"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":[0.00054597,0.0004716193,0.0106551,0.0001021715,0.0001340442,0.0001633301,0.0001102734,0.5663118,0.03999527,0.001179326,0.004497025,0.3758341],"study_design_scores_gemma":[0.000005874393,0.0000625572,0.0009416242,0.000007334097,0.00001052691,0.00001178622,0.0000162775,0.9928132,0.005548665,0.0002281222,0.0003495323,0.00000452107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7195856,0.0007921319,0.2688174,0.000405401,0.0001606186,0.00008933907,0.0005079831,0.004159073,0.005482536],"genre_scores_gemma":[0.9391668,0.0001501379,0.05474012,0.0001361692,0.00001833069,0.00005009696,0.0009867616,0.0000454615,0.004706048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01597911,"threshold_uncertainty_score":0.0317722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02282513252865214,"score_gpt":0.2133464078860195,"score_spread":0.1905212753573673,"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."}}