{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008056996,0.0007828443,0.0003608822,0.00157832,0.0006972157,0.002443832,0.0009877171,0.0033854,0.005628511],"category_scores_gemma":[0.00111997,0.0002754269,0.0003556747,0.001481571,0.001438452,0.00533519,0.001340776,0.002968359,0.001362739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002894701,"about_ca_system_score_gemma":0.001161339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006036445,"about_ca_topic_score_gemma":0.006266621,"domain_scores_codex":[0.9994771,0.0001171511,0.00001909748,0.00009355885,0.0002151606,0.00007794564],"domain_scores_gemma":[0.9991096,0.0002808792,0.00007037273,0.00004812624,0.0004159916,0.00007503622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004995871,0.0000681103,0.000778802,0.0009277256,0.0000359027,0.0004164238,0.000184557,0.005451429,0.002630384,0.828379,0.03610523,0.1249724],"study_design_scores_gemma":[0.000006986676,0.00008441677,0.001096455,0.0007757456,0.00002137193,0.0004801744,0.0003389846,0.01205763,0.002155615,0.2103711,0.772567,0.00004444524],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.009140045,0.4765902,0.07921486,0.09558091,0.007480453,0.00009282224,0.0004120209,0.0002802361,0.3312083],"genre_scores_gemma":[0.3246688,0.4896913,0.06032285,0.02252778,0.008576333,0.0002535841,0.0003393231,0.0001411859,0.09347893],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006036445,"threshold_uncertainty_score":0.02100259,"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."}}