{"id":"W4388101287","doi":"10.3390/atmos14111630","title":"The Michigan–Ontario Ozone Source Experiment (MOOSE): An Overview","year":2023,"lang":"en","type":"article","venue":"Atmosphere","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Ministry of the Environment, Conservation and Parks","funders":"Environment and Climate Change Canada; U.S. Department of Energy; U.S. Forest Service; U.S. Environmental Protection Agency; National Science Foundation","keywords":"Air quality index; Environmental science; Ozone; Emission inventory; Air pollution; Meteorology; Atmospheric sciences; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002422856,0.0001937934,0.0001644451,3.557457e-7,0.0006111333,0.0001481807,0.0004388129,0.00008074367,0.007141273],"category_scores_gemma":[0.00001631722,0.0001311409,0.00008716476,0.0002866454,0.0001051922,0.0001730821,0.0000349671,0.0001855965,0.001495251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009676382,"about_ca_system_score_gemma":0.0001005071,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02133347,"about_ca_topic_score_gemma":0.106351,"domain_scores_codex":[0.9986215,0.00005152504,0.0002242647,0.0003336559,0.0002886835,0.0004803868],"domain_scores_gemma":[0.9991108,0.0001357117,0.00007345209,0.0004633995,0.00002061937,0.0001960824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002430934,0.0001466559,0.6297116,0.00009600634,0.0002494039,0.0002206947,0.01289053,0.02820103,0.001865387,0.000497655,0.04124764,0.2846304],"study_design_scores_gemma":[0.000459089,0.000179466,0.208766,0.00004102884,0.00002400563,0.00002779928,0.004614109,0.005749991,0.001747912,0.0006798882,0.7772068,0.0005039509],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845144,0.004031274,0.0000202593,0.0003622684,0.0003427852,0.0001461383,0.000007530578,0.0002077654,0.01036754],"genre_scores_gemma":[0.9525027,0.0005291426,0.0007086598,0.0003754198,0.000278756,0.000007152236,0.0001230992,0.00001180672,0.04546325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7359592,"threshold_uncertainty_score":0.9992822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02916539644127906,"score_gpt":0.2469028790202451,"score_spread":0.2177374825789661,"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."}}