{"id":"W2053997985","doi":"10.5194/acp-11-3865-2011","title":"Organic condensation: a vital link connecting aerosol formation to cloud condensation nuclei (CCN) concentrations","year":2011,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":496,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto; Dalhousie University","funders":"Maj ja Tor Nesslingin Säätiö; European Commission; Canadian Foundation for Climate and Atmospheric Sciences; Camille and Henry Dreyfus Foundation","keywords":"Aerosol; Cloud condensation nuclei; Condensation; Nucleation; Particle (ecology); Particle number; Atmospheric sciences; Kelvin equation; Chemistry; Environmental science; Chemical physics; Meteorology; Thermodynamics; Physics; Physical chemistry; Geology; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000174883,0.0004013739,0.000159783,0.0001487253,0.0003086075,0.0004307,0.0003481154,0.0002678728,0.0007546314],"category_scores_gemma":[0.0007567998,0.0001585924,0.0002312078,0.000127938,0.0005289654,0.0004982119,0.0003861661,0.0002139965,0.00006609411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009579782,"about_ca_system_score_gemma":0.0005123822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02667145,"about_ca_topic_score_gemma":0.01384793,"domain_scores_codex":[0.9999382,0.00001046232,0.00000245506,0.00001701113,0.00001687302,0.00001487567],"domain_scores_gemma":[0.9998372,0.00006160638,0.00005227051,0.0000130735,0.00001845008,0.00001738557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001166724,0.0000805982,0.1188509,0.0002864485,0.0001959064,0.0002943767,0.0001107763,0.7121985,0.1219811,0.03136923,0.0009930454,0.01352246],"study_design_scores_gemma":[0.00002536866,0.00005787016,0.04239981,0.00001316193,0.00004840977,0.00005739944,0.00003631306,0.9250378,0.02121226,0.009271812,0.001820549,0.00001926554],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9480733,0.001112186,0.04266105,0.0005677518,0.0000849549,0.00007356386,0.0005238457,0.0001382618,0.006765113],"genre_scores_gemma":[0.99858,0.0001343591,0.0009830893,0.00001189649,0.00001071001,0.000005322805,0.00005115791,0.000005401227,0.0002181184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02667145,"threshold_uncertainty_score":0.0530324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644785336849612,"score_gpt":0.2003423564107258,"score_spread":0.1838945030422297,"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."}}