{"id":"W4239344607","doi":"10.5194/acpd-11-17759-2011","title":"Predicting the relative humidities of liquid-liquid phase separation, efflorescence, and deliquescence of mixed particles of ammonium sulfate, organic material, and water using the organic-to-sulfate mass ratio of the particle and the oxygen-to-carbon elemental ratio of the organic component","year":2011,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Efflorescence; Ammonium sulfate; Total organic carbon; Sulfate; Chemistry; Relative humidity; Particle (ecology); Mass concentration (chemistry); Analytical Chemistry (journal); Mineralogy; Environmental chemistry; Thermodynamics; Chromatography; Organic chemistry; Physical 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":[0.0003295141,0.0006489875,0.0002672513,0.0003620429,0.0001709324,0.0004276135,0.0003554721,0.000663164,0.0003342378],"category_scores_gemma":[0.0007676058,0.0003402794,0.0005311623,0.0001525402,0.0002060054,0.0003934345,0.0001972061,0.0003931601,0.0001362379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008037833,"about_ca_system_score_gemma":0.0002877756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009283144,"about_ca_topic_score_gemma":0.009026432,"domain_scores_codex":[0.9999361,0.000009630372,0.000003565726,0.00002584499,0.00001514104,0.000009648822],"domain_scores_gemma":[0.9996802,0.0002265774,0.00002963472,0.00001503232,0.00003373616,0.00001482933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002214874,0.00013982,0.03701952,0.00005754874,0.00005843683,0.00007925057,0.000057859,0.8618962,0.09220718,0.0001007723,0.000113898,0.008048086],"study_design_scores_gemma":[0.000008739025,0.00003645051,0.007955422,0.000001517643,0.000008249424,0.000006195213,0.00001436581,0.9701247,0.0217532,0.00004538291,0.00003972587,0.000006061208],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99428,0.00002709085,0.005120575,0.00001299738,0.000003019585,0.00001089564,0.0001493909,0.0001383769,0.0002576475],"genre_scores_gemma":[0.9976477,0.00001277493,0.002034416,0.000003151675,6.899748e-7,0.000009814402,0.0001909285,0.00001185177,0.00008862089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009283144,"threshold_uncertainty_score":0.01845825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01821944570309256,"score_gpt":0.2300070074519458,"score_spread":0.2117875617488533,"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."}}