{"id":"W4410551957","doi":"10.5194/icuc12-806","title":"Network-calibrated low-cost air quality sensors integrated with the New York State Mesonet for continuous fine-scale monitoring in New York City","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Air quality index; Environmental science; State (computer science); Computer science; Meteorology; Geography; Cartography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006717488,0.0004634294,0.0002783301,0.0003811738,0.0005736048,0.0005267602,0.0006241043,0.0002515825,0.001739355],"category_scores_gemma":[0.0009332075,0.0002365545,0.0001864715,0.0005907941,0.0001973298,0.0006785625,0.0004799764,0.0005629495,0.0004373778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002952232,"about_ca_system_score_gemma":0.003367544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4576418,"about_ca_topic_score_gemma":0.6211379,"domain_scores_codex":[0.9995957,0.00004057022,0.00001121776,0.0001141332,0.0001865264,0.00005189479],"domain_scores_gemma":[0.9994597,0.00003300095,0.00003014558,0.00004033039,0.0004017246,0.00003504774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005527725,0.0008267775,0.3602588,0.0002547818,0.0001878853,0.0003730573,0.0006366292,0.3624142,0.06232869,0.003496716,0.04050069,0.168169],"study_design_scores_gemma":[0.00007512824,0.0001547789,0.1117338,0.00003179516,0.00004504327,0.00002874122,0.0002549975,0.8627144,0.01128238,0.0003922337,0.01323394,0.00005291914],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8698039,0.0002898044,0.1017093,0.0004565265,0.0001944636,0.0006787486,0.009642667,0.002069633,0.01515504],"genre_scores_gemma":[0.9412582,0.000171606,0.04181969,0.00006038983,0.0000203218,0.0003588544,0.008015218,0.00007412917,0.008221637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4576418,"threshold_uncertainty_score":0.9099561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05343249940339257,"score_gpt":0.2839319551570366,"score_spread":0.230499455753644,"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."}}