{"id":"W7037818612","doi":"","title":"An Evaluation Of NAAPS During Canadian And U.S. East Coast Smoke Events In May And June 2023","year":2024,"lang":"en","type":"article","venue":"UND Scholarly Commons (University of North Dakota)","topic":"Time Series Analysis and Forecasting","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"AERONET; Aerosol; Smoke; Lidar; Extinction (optical mineralogy); Plume","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001596171,0.0009814715,0.0003629402,0.001058927,0.001634295,0.001358596,0.001229286,0.0005436204,0.0007316532],"category_scores_gemma":[0.00230406,0.000310179,0.0005345295,0.001441504,0.0004435966,0.0006229262,0.0006205568,0.0005342339,0.0002602864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009898522,"about_ca_system_score_gemma":0.007819635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9449504,"about_ca_topic_score_gemma":0.966983,"domain_scores_codex":[0.9991805,0.00005161924,0.0000359363,0.0001566508,0.0004244299,0.000150813],"domain_scores_gemma":[0.9982834,0.0001650726,0.000107624,0.00007209906,0.001111001,0.0002608036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009858921,0.0007417066,0.8628098,0.0001188627,0.0003013829,0.0005193127,0.0008367269,0.08195969,0.006384153,0.0007684889,0.006689718,0.03788428],"study_design_scores_gemma":[0.00005141976,0.0002237107,0.8438219,0.00002731372,0.00007911037,0.00006085708,0.001758673,0.1459344,0.003331255,0.000142647,0.004498909,0.00006977911],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895223,0.0000768011,0.0006069731,0.0001762383,0.00002598699,0.00009418271,0.004919576,0.0002182664,0.004359644],"genre_scores_gemma":[0.9901928,0.00009706386,0.001737888,0.00006054975,0.00001069341,0.00003157351,0.006980599,0.00002294572,0.0008658905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0550496,"threshold_uncertainty_score":0.1107475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03024130084721674,"score_gpt":0.2367348121323217,"score_spread":0.2064935112851049,"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."}}