{"id":"W2920970828","doi":"10.3390/s19061415","title":"The Life of a New York City Noise Sensor Network","year":2019,"lang":"en","type":"article","venue":"Sensors","topic":"Noise Effects and Management","field":"Health Professions","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; Center for Urban Science and Progress; National Science Foundation","keywords":"Noise (video); Wireless sensor network; Telecommunications; Computer science; Engineering; Computer network; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006944823,0.0001202737,0.0002355304,0.00002501712,0.0003719568,0.000007281057,0.0001670799,0.00009247684,0.0005265761],"category_scores_gemma":[0.0001675279,0.00007514026,0.00008387,0.0001890114,0.00003480386,0.00001999666,0.0001236528,0.0003015579,0.001229725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000292601,"about_ca_system_score_gemma":0.0001344674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007192984,"about_ca_topic_score_gemma":0.0001579038,"domain_scores_codex":[0.9984394,0.0003372519,0.0003393014,0.0001862694,0.0002137548,0.0004840034],"domain_scores_gemma":[0.9982671,0.0007846911,0.0002087062,0.0005269263,0.00005192499,0.0001606879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003554612,0.00004678616,0.06690253,0.0003376479,0.0002031245,0.000005196308,0.00338941,0.003732771,0.0004075553,0.01906165,0.9005381,0.005019707],"study_design_scores_gemma":[0.0009957048,0.0001014702,0.06406236,0.0001962435,0.00005232172,2.584852e-7,0.002519815,0.0007012566,0.0000386462,0.0007755619,0.9303854,0.0001709799],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9466285,0.000329137,0.00002463666,0.003379022,0.002234642,0.001331806,0.000003654185,0.00007342957,0.0459952],"genre_scores_gemma":[0.8592759,0.00009305921,0.0004271432,0.002099424,0.001165179,0.00001845968,0.000002973684,0.00003138438,0.1368865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09089132,"threshold_uncertainty_score":0.999548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04832447729469935,"score_gpt":0.3477048604344218,"score_spread":0.2993803831397225,"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."}}