{"id":"W4405304133","doi":"10.1109/icpects62210.2024.10780376","title":"Localized Detection, Control and Combating of Greenhouse Gas Emissions using IoT and Data Science","year":2024,"lang":"en","type":"article","venue":"","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SAIT Polytechnic","funders":"","keywords":"Greenhouse gas; Internet of Things; Control (management); Computer science; Environmental science; Computer security; Artificial intelligence; Geology","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":[0.0009266858,0.0007407343,0.0004553995,0.0008503761,0.0003779728,0.001584132,0.0008403892,0.0008502618,0.001015407],"category_scores_gemma":[0.001939624,0.000250063,0.000495668,0.0006997908,0.001019294,0.002588504,0.001547263,0.0009719182,0.000270317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005619957,"about_ca_system_score_gemma":0.0008592629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001875959,"about_ca_topic_score_gemma":0.002624742,"domain_scores_codex":[0.9995261,0.0001235463,0.00001948265,0.0001242932,0.0001596108,0.00004677309],"domain_scores_gemma":[0.9990445,0.0005348013,0.00009819173,0.0001717651,0.0001119696,0.00003884641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002980129,0.0003945952,0.01377837,0.001241874,0.0002655175,0.000501556,0.0003581578,0.2894008,0.06530651,0.1301475,0.00864568,0.4896615],"study_design_scores_gemma":[0.00002541849,0.0001803102,0.003585104,0.0001522866,0.00006821493,0.0001592797,0.0003819882,0.8592049,0.01864457,0.0971373,0.02041105,0.00004973459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03018762,0.002876593,0.9513812,0.001916796,0.0002397442,0.0001058599,0.0002511324,0.0006540545,0.01238698],"genre_scores_gemma":[0.8678651,0.002743312,0.1257111,0.0005088295,0.0002301861,0.0001470743,0.000369622,0.00006786273,0.002356853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001875959,"threshold_uncertainty_score":0.004900873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05278696262431948,"score_gpt":0.3200862077400372,"score_spread":0.2672992451157177,"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."}}