{"id":"W2124393814","doi":"10.5194/acpd-6-10713-2006","title":"HONO and NO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; evolution from irradiated nitrate-doped ice and frozen nitrate solutions","year":2006,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Nitrate; Photodissociation; Chemistry; Adsorption; Quantum yield; Nitrogen; Monolayer; Analytical Chemistry (journal); Atmospheric temperature range; Phase (matter); Inorganic chemistry; Photochemistry; Environmental chemistry; Physical chemistry; Thermodynamics; Fluorescence; Optics; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001035644,0.0002123088,0.0002158259,0.00005766386,0.0001141993,0.00017538,0.0001772459,0.0001461544,0.001042603],"category_scores_gemma":[0.0002082853,0.00008803262,0.0001302751,0.00007606424,0.0001416512,0.0001477426,0.00008248135,0.0002513574,0.0001613208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002995621,"about_ca_system_score_gemma":0.0001796568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00196554,"about_ca_topic_score_gemma":0.002275513,"domain_scores_codex":[0.999943,0.000004972576,0.00000196157,0.00001957852,0.00001610205,0.00001443891],"domain_scores_gemma":[0.9999164,0.00002848989,0.00001539789,0.000009623352,0.00002087261,0.000009234559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001260419,0.000005404302,0.0002424704,0.00002162482,0.000003171909,0.00002489483,0.00001292395,0.00008505976,0.9988694,0.00003061211,0.0000233828,0.0005549821],"study_design_scores_gemma":[0.00000633504,0.00007289095,0.002452093,0.000002360325,0.000004438297,0.0000221928,0.00001202211,0.0008085454,0.996116,0.00002213953,0.0004789397,0.000002134565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975285,0.0002276442,0.0009795297,0.0000138703,0.00001485357,0.000009159051,0.0003147389,0.00002001212,0.0008916984],"genre_scores_gemma":[0.9946238,0.0003047044,0.001832842,0.0000185169,0.000006663352,0.00002018247,0.000682655,0.00003732685,0.002473349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00196554,"threshold_uncertainty_score":0.003908157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02578020609592963,"score_gpt":0.2130887361143193,"score_spread":0.1873085300183897,"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."}}