{"id":"W2885381296","doi":"10.1109/icc.2018.8422412","title":"An Improved Algorithm for Road Markings Detection with SVM and ROI Restriction: Comparison with a Rule-Based Model","year":2018,"lang":"en","type":"article","venue":"","topic":"Vehicle License Plate Recognition","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Support vector machine; Computer science; Histogram; Artificial intelligence; Popularity; Histogram of oriented gradients; Machine learning; Field (mathematics); Algorithm; Deep learning; Data mining; Pattern recognition (psychology); Image (mathematics); Mathematics","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":[0.0007286678,0.0006603027,0.001215226,0.0009845964,0.0003110678,0.0008695757,0.001543977,0.0007920835,0.00264734],"category_scores_gemma":[0.001362957,0.0003094194,0.000718026,0.0008147361,0.0002446393,0.001242495,0.0004965935,0.0009555967,0.001964192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004906319,"about_ca_system_score_gemma":0.0009359693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006370319,"about_ca_topic_score_gemma":0.004498038,"domain_scores_codex":[0.9993261,0.00006422451,0.00005485885,0.0002108021,0.0002759806,0.00006804238],"domain_scores_gemma":[0.9991711,0.0001369161,0.00005361096,0.000124138,0.0004772345,0.00003701088],"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":[0.000186677,0.0001776995,0.001942166,0.00008162814,0.00007536708,0.00007156657,0.00003295921,0.04052743,0.02371826,0.001243637,0.002638392,0.9293042],"study_design_scores_gemma":[0.00001930233,0.0001025966,0.001605757,0.00001063828,0.00003419124,0.0001457531,0.00001745226,0.9797028,0.01499941,0.0007099426,0.002634226,0.00001799952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01916774,0.0003504035,0.975253,0.00006970011,0.0001168809,0.00008466568,0.00008635187,0.003758123,0.001113079],"genre_scores_gemma":[0.344263,0.0004101344,0.6470842,0.0001375434,0.00008955524,0.0001791945,0.0007980583,0.0003323468,0.00670592],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006370319,"threshold_uncertainty_score":0.01266646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053841427878631,"score_gpt":0.2192974479824749,"score_spread":0.2087590337036886,"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."}}