{"id":"W4386031937","doi":"10.3390/su151612624","title":"Air Quality Monitoring in Coal-Centric Cities: A Hybrid Approach","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Air quality index; Air pollution; Coal; Environmental planning; Quality (philosophy); Air monitoring; Citizen science; Environmental resource management; Environmental economics; Computer science; Environmental science; Engineering; Environmental engineering; Geography; Meteorology; Waste management; Ecology","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":[0.002197341,0.0006681526,0.0007004387,0.004133344,0.00093467,0.003752823,0.001242552,0.001180665,0.00140333],"category_scores_gemma":[0.002792916,0.0004072286,0.0009750248,0.004692797,0.0006667919,0.002072524,0.00346089,0.0006126571,0.000262816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001705464,"about_ca_system_score_gemma":0.001899055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01932956,"about_ca_topic_score_gemma":0.04774014,"domain_scores_codex":[0.9980123,0.0008945307,0.00008737852,0.0004556582,0.0003442835,0.0002058573],"domain_scores_gemma":[0.9980646,0.0007934768,0.0002622637,0.0002305206,0.0004843923,0.0001648895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005281304,0.001550807,0.4420642,0.002288393,0.001615375,0.001872919,0.01963244,0.1017754,0.02096371,0.01647967,0.003471903,0.3877571],"study_design_scores_gemma":[0.00007377881,0.0005945649,0.2260299,0.0007995791,0.001053402,0.0006194601,0.07940164,0.6221107,0.008154699,0.03404185,0.02683624,0.0002841908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7003381,0.002027064,0.2708697,0.001905187,0.0000874332,0.0008192619,0.002154669,0.0005408312,0.02125785],"genre_scores_gemma":[0.8981417,0.000574436,0.09849788,0.0001609178,0.00002226124,0.0002450216,0.0006998347,0.0000308793,0.001626991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01932956,"threshold_uncertainty_score":0.03843409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03284984640826476,"score_gpt":0.3046014878002337,"score_spread":0.2717516413919689,"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."}}