{"id":"W4402821629","doi":"10.1145/3696113","title":"Agriculture-informed Neural Networks for Predicting Nitrous Oxide Emissions","year":2024,"lang":"en","type":"article","venue":"ACM Transactions on Internet of Things","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Nitrous oxide; Agriculture; Artificial neural network; Environmental science; Business; Computer science; Artificial intelligence; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002026722,0.0001426089,0.0001352723,0.00004364948,0.0001516013,0.00005679233,0.0003201999,0.00009987586,0.0001145638],"category_scores_gemma":[0.0001110299,0.0001124678,0.0001767041,0.0001728459,0.00007934748,0.0003482716,0.00002231135,0.0003286354,0.00001729636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000128938,"about_ca_system_score_gemma":0.000006693112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006940193,"about_ca_topic_score_gemma":0.00002504088,"domain_scores_codex":[0.9989872,0.00001836374,0.0003075859,0.0002464107,0.0001943522,0.0002461032],"domain_scores_gemma":[0.9991894,0.0004439283,0.00006734454,0.0002014081,0.00001089825,0.00008706345],"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":[0.0003542691,0.000373939,0.006498213,0.0004394776,0.0004102101,0.00001716543,0.0255198,0.3165913,0.008828444,0.0002138053,0.01521088,0.6255425],"study_design_scores_gemma":[0.0003362714,0.0004202098,0.0007680762,0.0006604725,0.0001344236,0.00004982216,0.001035539,0.9681827,0.01817482,0.0006456394,0.009231453,0.0003605052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4142842,0.00005418637,0.582137,0.0005593378,0.001083165,0.0003330068,0.0000161504,0.0003012772,0.001231616],"genre_scores_gemma":[0.9882689,0.000007177042,0.008286175,0.00009910252,0.0000756309,0.0000404129,0.00000788402,0.00001900268,0.003195707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6515915,"threshold_uncertainty_score":0.4586303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02043931055509122,"score_gpt":0.2700098563607706,"score_spread":0.2495705458056794,"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."}}