{"id":"W1571036276","doi":"10.1002/jgrd.50484","title":"Chemical characterization of individual particles and residuals of cloud droplets and ice crystals collected on board research aircraft in the ISDAC 2008 study","year":2013,"lang":"en","type":"article","venue":"Journal of Geophysical Research Atmospheres","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Biological and Environmental Research; Pacific Northwest National Laboratory; Basic Energy Sciences; Lawrence Berkeley National Laboratory; Battelle; U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"Aerosol; Ice nucleus; Ice crystals; Particle (ecology); Nucleation; Chemical composition; Sea salt; Population; Mineralogy; Materials science; Environmental science; Chemistry; Meteorology; Geology; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001837883,0.000293499,0.0003253111,0.0009141301,0.0007212277,0.0005004687,0.0002439059,0.0002581856,0.0003033555],"category_scores_gemma":[0.0001635559,0.0001509334,0.0001954705,0.0006368531,0.000230836,0.0001715251,0.0002388984,0.000215531,0.00009545824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004378959,"about_ca_system_score_gemma":0.0003032786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0540927,"about_ca_topic_score_gemma":0.09018401,"domain_scores_codex":[0.9998204,0.000007759518,0.00001306209,0.00005697043,0.0000821793,0.0000196544],"domain_scores_gemma":[0.9998798,0.000009611801,0.00002156473,0.000008260547,0.0000581101,0.00002255047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002249423,0.0001352784,0.8298922,0.00006117285,0.00009588909,0.0003649099,0.0006948753,0.0003619762,0.1628967,0.00004213002,0.0001164479,0.005113404],"study_design_scores_gemma":[0.00000312617,0.00004887746,0.9950904,0.000003529425,0.00001787533,0.00005436771,0.0002245096,0.0002972207,0.003936026,0.000004203825,0.0003167234,0.000003070837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992391,0.00005587481,0.00006703955,0.000001907476,0.000002316978,0.00001367071,0.0002986894,0.000002315677,0.0003192257],"genre_scores_gemma":[0.9977361,0.0001035444,0.0004874423,0.00001449119,0.00000569756,0.00001862274,0.001270836,0.000005441557,0.0003577314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0540927,"threshold_uncertainty_score":0.1075557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04045626891166247,"score_gpt":0.3056578105211222,"score_spread":0.2652015416094597,"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."}}