{"id":"W4321995187","doi":"10.5194/egusphere-egu23-9708","title":"Development of a low-cost black carbon sensor for air quality monitoring in Ghana              ","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Particulates; Environmental science; Air quality index; Absorption (acoustics); Wavelength; Aerosol; Air pollution; Process engineering; Materials science; Remote sensing; Optoelectronics; Optics; Meteorology; Engineering; Geography; Physics; Chemistry","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":[0.0003259366,0.0004242031,0.0003330034,0.000268317,0.0004188422,0.0002611866,0.0007653142,0.0006157805,0.00121095],"category_scores_gemma":[0.0004371981,0.0001654178,0.0002245927,0.0002466774,0.0003098075,0.0008230563,0.0003071296,0.0003893469,0.0003782517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005268192,"about_ca_system_score_gemma":0.0006733866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003810781,"about_ca_topic_score_gemma":0.006182882,"domain_scores_codex":[0.9996786,0.00003465755,0.00001349355,0.00006005159,0.0001876228,0.00002561712],"domain_scores_gemma":[0.9997914,0.00003338505,0.00003710761,0.00001459573,0.00009913289,0.00002432521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002202802,0.0002477622,0.007606467,0.0003585984,0.00001585101,0.001131524,0.0002848281,0.003748484,0.9071208,0.0007116748,0.001714292,0.07683932],"study_design_scores_gemma":[0.00008146987,0.001844981,0.01031488,0.0000652738,0.00004849816,0.001216696,0.0004500599,0.0581516,0.9101781,0.0003068312,0.01726783,0.00007383418],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7774701,0.001681313,0.2058288,0.001424713,0.0004535935,0.0008386105,0.000641332,0.002120579,0.009541026],"genre_scores_gemma":[0.7668605,0.0007629261,0.2256356,0.0003453242,0.00002615591,0.0002268298,0.0002361371,0.00008100487,0.005825413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003810781,"threshold_uncertainty_score":0.00757724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.127543455241753,"score_gpt":0.345363034788493,"score_spread":0.21781957954674,"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."}}