{"id":"W4391028545","doi":"10.61782/fa.2023.0858","title":"Models for vehicle detection from noise measurements in sparse road traffic","year":2024,"lang":"en","type":"article","venue":"","topic":"Noise Effects and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Svenska Forskningsrådet Formas","keywords":"Computer science; Road traffic; Noise (video); Noise measurement; Artificial intelligence; Computer vision; Noise reduction; Transport engineering; 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":[0.003379349,0.001614426,0.002651985,0.001834938,0.0008199926,0.002063777,0.003749018,0.00385456,0.003686448],"category_scores_gemma":[0.01622908,0.002179333,0.001985755,0.001717272,0.001961068,0.003199959,0.001977242,0.00271284,0.001493693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002329749,"about_ca_system_score_gemma":0.001703193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04680531,"about_ca_topic_score_gemma":0.03123453,"domain_scores_codex":[0.9986162,0.0003901259,0.00007711932,0.0003854946,0.0002460937,0.0002849123],"domain_scores_gemma":[0.9914271,0.006496371,0.0006774046,0.0002732827,0.0009450617,0.0001808172],"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":[0.00004512323,0.0000214992,0.001032833,0.00004759922,0.00004131613,0.00003727675,0.00005245011,0.9858211,0.0002702431,0.007111187,0.0005441706,0.004975115],"study_design_scores_gemma":[0.000004478104,0.000006769793,0.0002313841,0.000008374708,0.00001047482,0.00001185811,0.000007637733,0.9966183,0.00007368468,0.002902218,0.0001155047,0.000009370503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09362024,0.001222256,0.8967484,0.001106052,0.0002087816,0.0001180656,0.001259224,0.0008443003,0.004872672],"genre_scores_gemma":[0.9444501,0.001338445,0.03019885,0.0002488774,0.0001910514,0.0003163694,0.001688223,0.0002254475,0.02134256],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04680531,"threshold_uncertainty_score":0.0930658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1405498700012769,"score_gpt":0.3961881007822715,"score_spread":0.2556382307809945,"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."}}