{"id":"W4398137864","doi":"10.3389/fchem.2024.1391409","title":"Carbon based sensors for air quality monitoring networks; middle east perspective","year":2024,"lang":"en","type":"article","venue":"Frontiers in Chemistry","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; University of New Brunswick","funders":"Qatar University","keywords":"Perspective (graphical); Air quality index; Middle East; Quality (philosophy); Environmental science; Geography; Computer science; Meteorology; Artificial intelligence; Archaeology; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004948406,0.0001779339,0.0001932325,0.00002094338,0.00008899967,0.00003574383,0.0001720157,0.0001466852,0.00002519695],"category_scores_gemma":[0.0001361348,0.0001912262,0.0001065711,0.000246986,0.0001299878,0.00007709259,0.00006033217,0.0002901934,0.000003280847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001000875,"about_ca_system_score_gemma":0.00002194409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002828126,"about_ca_topic_score_gemma":0.000002098807,"domain_scores_codex":[0.9986132,0.00003534638,0.0002480314,0.0004955406,0.0002211401,0.0003866833],"domain_scores_gemma":[0.9995211,0.00009872368,0.00005076881,0.0002225861,0.00001115044,0.00009561321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002724544,0.0002385527,0.682888,0.001052209,0.0001236677,0.00006940741,0.007847701,0.2648732,0.02012103,0.000027619,0.005554859,0.01693132],"study_design_scores_gemma":[0.001069922,0.00005468881,0.01572154,0.000925622,0.00006595182,0.000007530889,0.02663529,0.8505642,0.09741314,0.001393104,0.004892922,0.001256016],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770001,0.0008273407,0.01199988,0.0002742681,0.002083788,0.0001922426,0.00001678694,0.0002010831,0.007404583],"genre_scores_gemma":[0.9892701,0.000005569473,0.008707775,0.00000844973,0.0006872667,0.00004954411,0.00000627095,0.00003013187,0.001234915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6671664,"threshold_uncertainty_score":0.7797979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03761943627924668,"score_gpt":0.2773175664870875,"score_spread":0.2396981302078408,"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."}}