{"id":"W4389540948","doi":"10.17118/11143/20984","title":"Odorous trace gas emission rate estimation from the tipping area of anactive landfill site using a network of remote ambient air monitoringsensors","year":2023,"lang":"en","type":"article","venue":"","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Environmental science; TRACE (psycholinguistics); Remote sensing; Trace gas; Wireless sensor network; Estimation; Environmental engineering; Computer science; Meteorology; Engineering; Geology; Geography; Computer network","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":[0.0002223431,0.0001398135,0.0002644549,0.00004616741,0.00007443243,0.000008134951,0.0001552397,0.0001268759,0.00001910793],"category_scores_gemma":[0.0006470298,0.0000864648,0.00008684105,0.0004568097,0.00003447153,0.00007960964,0.0001014794,0.0001769339,0.000004691763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005652668,"about_ca_system_score_gemma":0.00001316459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008480575,"about_ca_topic_score_gemma":0.000003429277,"domain_scores_codex":[0.9990534,0.00002820369,0.0003174209,0.0001899845,0.0001817825,0.0002291644],"domain_scores_gemma":[0.9989473,0.0004943041,0.0001559457,0.000282397,0.00007872357,0.00004132388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005681378,0.000008342298,0.001135602,0.00002143707,0.00004107949,0.000002663646,0.000285465,0.3403157,0.6431658,0.00001249543,0.0002938413,0.01466072],"study_design_scores_gemma":[0.0002136787,0.00001285094,0.001618057,0.0002330733,0.00002505803,8.365128e-7,0.0003254477,0.6571142,0.3398457,0.0004495282,0.0000838455,0.00007777657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762005,0.00008258914,0.02259802,0.0003328064,0.0001272165,0.0001308412,0.00001239699,0.0003634703,0.0001521359],"genre_scores_gemma":[0.9928843,0.00004764963,0.006747914,0.00001027158,0.00008781154,0.000001591179,0.000008757142,0.00001893308,0.0001928222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3167985,"threshold_uncertainty_score":0.3525932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02823643091982094,"score_gpt":0.2615918578663671,"score_spread":0.2333554269465462,"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."}}