{"id":"W4239540229","doi":"10.5194/amt-2021-106","title":"Field Testing Two Flux Footprint Models","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Odor and Emission Control Technologies","field":"Chemical Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Footprint; Flux (metallurgy); Dispersion (optics); Environmental science; Field (mathematics); Atmospheric sciences; Lagrangian; Mechanics; Meteorology; Physics; Mathematics; Geology; Materials science; Applied mathematics; Optics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001065627,0.0003086059,0.0004346059,0.00007860109,0.00004339563,0.0001054348,0.0005321234,0.0005162429,0.0004333178],"category_scores_gemma":[0.001205146,0.0002753297,0.0001933528,0.0001195658,0.00001614111,0.00003833422,0.002014595,0.001277096,0.00001596327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006343507,"about_ca_system_score_gemma":0.00006769906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000338108,"about_ca_topic_score_gemma":0.000009617904,"domain_scores_codex":[0.9985279,0.00001069935,0.0003625264,0.0005409876,0.0002073458,0.0003504875],"domain_scores_gemma":[0.9985346,0.0003564435,0.00007208956,0.0008150899,0.0001299548,0.00009187113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000189932,0.000090747,0.0002277513,0.0005519317,0.0002048744,0.0001069181,0.0001186435,0.3928297,0.3525812,0.0100727,0.001864351,0.2413322],"study_design_scores_gemma":[0.0002548754,0.00001610352,0.000007839352,0.0003426462,0.00003028514,0.000006962715,0.0001488267,0.735225,0.248986,0.01420763,0.0003346917,0.0004391305],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.104099,0.0009712791,0.5666767,0.001967998,0.0009663727,0.0003173944,0.000006439484,0.004723451,0.3202714],"genre_scores_gemma":[0.9443693,0.00001727615,0.05130728,0.0001540989,0.0001741761,0.0000566083,0.00001568158,0.0000392711,0.003866302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8402703,"threshold_uncertainty_score":0.9999699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06306125419400752,"score_gpt":0.2815341174889983,"score_spread":0.2184728632949907,"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."}}