{"id":"W2890164344","doi":"10.1038/s41598-018-32047-4","title":"Summertime Primary and Secondary Contributions to Southern Ocean Cloud Condensation Nuclei","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":130,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Goddard Space Flight Center; Science Foundation Ireland; Ministerio de Economía y Competitividad; Centre National d’Etudes Spatiales; Natural Sciences and Engineering Research Council of Canada; European Commission; National Aeronautics and Space Administration","keywords":"Cloud condensation nuclei; Primary (astronomy); Cloud computing; Environmental science; Condensation; Meteorology; Atmospheric sciences; Oceanography; Astrobiology; Geology; Geography; Physics; Computer science; Astrophysics; Aerosol","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":[0.0001434313,0.0004002069,0.000153801,0.0003918161,0.0002694655,0.0003150062,0.0001312132,0.0001694613,0.002516422],"category_scores_gemma":[0.0002425238,0.0001020158,0.0002311165,0.0002147528,0.0001680921,0.0001373577,0.0002566215,0.0001292668,0.0004215512],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003331682,"about_ca_system_score_gemma":0.0001957156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0111508,"about_ca_topic_score_gemma":0.01090335,"domain_scores_codex":[0.9999475,0.000005913899,0.00000220178,0.00001333414,0.00001266235,0.0000183925],"domain_scores_gemma":[0.9998505,0.00003796778,0.00002051328,0.00001181162,0.00004112113,0.00003802829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005885239,0.000097793,0.6528058,0.000204633,0.000185861,0.0007192971,0.0003991422,0.007262724,0.3122496,0.0007916291,0.001682711,0.02301227],"study_design_scores_gemma":[0.00001731164,0.00008428259,0.9667012,0.000007906324,0.00002979994,0.0001006978,0.0001010169,0.008473193,0.0223434,0.0001655802,0.001966893,0.000008606725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964733,0.0002742624,0.0004153264,0.00002923789,0.00001504429,0.000008909623,0.0004785391,0.00003687073,0.002268553],"genre_scores_gemma":[0.9988361,0.00008380783,0.00009978476,0.000005776247,0.00001165678,0.000004460223,0.0003928393,0.000006006707,0.0005596657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0111508,"threshold_uncertainty_score":0.0221718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007947709978711241,"score_gpt":0.2144783739434287,"score_spread":0.2065306639647174,"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."}}