{"id":"W2912823574","doi":"10.1142/9789813271838_0001","title":"Atmospheric Ammonia: Measurements, Modeling, and Chemistry–Climate Interactions","year":2019,"lang":"en","type":"book-chapter","venue":"WORLD SCIENTIFIC eBooks","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Atmospheric chemistry; Atmospheric sciences; Ammonia; Environmental science; Climatology; Environmental chemistry; Chemistry; Meteorology; Geography; Physics; Geology; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003799669,0.0004811118,0.0004486212,0.00001016209,0.0005970288,0.000481694,0.0003976047,0.0001652242,0.009210942],"category_scores_gemma":[0.000007851219,0.000453431,0.0001756593,0.00005814813,0.0003693674,0.0001222763,0.00007917199,0.0005614493,0.0008374531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002700494,"about_ca_system_score_gemma":0.0001755732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005508286,"about_ca_topic_score_gemma":0.00379798,"domain_scores_codex":[0.9973799,0.00001311336,0.000469465,0.001006681,0.0006081961,0.0005226686],"domain_scores_gemma":[0.9986208,0.00005292481,0.0002663754,0.0006755315,0.0001125197,0.0002718288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001770769,0.0004831704,0.05608052,0.0113086,0.004843719,0.0009120477,0.005821956,0.08040567,0.06169429,0.01153903,0.2637462,0.501394],"study_design_scores_gemma":[0.0004847434,0.00002424448,0.00008287631,0.0006450189,0.0001978763,0.00005411683,0.00005233453,0.031729,0.0008808795,0.001785947,0.9628172,0.001245793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.007316855,0.0008539444,0.00004942773,0.00004045319,0.001246925,0.0002869768,0.0001637775,0.0001114544,0.9899302],"genre_scores_gemma":[0.05512812,0.00001021598,0.001048403,0.00005884776,0.0001998658,0.000002096587,0.0002686301,0.00002349361,0.9432603],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6990709,"threshold_uncertainty_score":0.9999405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.032592603291793,"score_gpt":0.2162342544173377,"score_spread":0.1836416511255447,"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."}}