{"id":"W4414015527","doi":"10.11159/mvml25.140","title":"Interpretation of Modified YOLOv7 for Predicting Two-lane Highway Passing Zones: Preliminary Study","year":2025,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpretation (philosophy); Computer science; Artificial intelligence; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001297406,0.0007932943,0.0005701676,0.0006720658,0.0002365604,0.0008674358,0.001245318,0.0007427619,0.001911724],"category_scores_gemma":[0.004362459,0.0002286895,0.0004795744,0.0003591308,0.0002324006,0.0005958959,0.000411695,0.000666098,0.0006287427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000968207,"about_ca_system_score_gemma":0.0008872083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03238252,"about_ca_topic_score_gemma":0.01477331,"domain_scores_codex":[0.9995551,0.0001235785,0.00003204821,0.0001324654,0.0001078439,0.00004901036],"domain_scores_gemma":[0.9978048,0.001149465,0.0001167834,0.0000898974,0.0007785245,0.00006049614],"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":[0.0006637476,0.0003056639,0.05577114,0.000139988,0.0001453485,0.0001564526,0.0001348762,0.8256512,0.005742948,0.001360732,0.001664716,0.1082632],"study_design_scores_gemma":[0.000004606954,0.00006764293,0.002915246,0.000003980618,0.000008237404,0.000008989577,0.00001974007,0.99611,0.0006411902,0.0000990296,0.0001161434,0.000005120162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7083204,0.0007422187,0.2840142,0.000404638,0.0001158718,0.0002443239,0.0009568856,0.001003977,0.004197443],"genre_scores_gemma":[0.9772669,0.0001222862,0.02045687,0.00003938616,0.00002248607,0.00005830664,0.0007507882,0.00004102173,0.001242019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03238252,"threshold_uncertainty_score":0.06438804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006086539977756666,"score_gpt":0.2190986354191483,"score_spread":0.2130120954413917,"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."}}