{"id":"W2153077058","doi":"10.5194/acp-12-12155-2012","title":"Numerical evidence for cloud droplet nucleation at the cloud-environment interface","year":2012,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Institute of Atmospheric Physics, Chinese Academy of Sciences; Chinese Academy of Sciences","keywords":"Cloud computing; Liquid water content; Cloud base; Cloud condensation nuclei; Nucleation; Meteorology; Cloud physics; Atmospheric sciences; Supersaturation; Mechanics; Condensation; Cloud cover; Supercooling; Aerosol; Environmental science; Physics; Thermodynamics; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001624551,0.0002093399,0.000156135,5.240891e-9,0.0003387837,0.00002838739,0.0002036069,0.00007746783,0.00542052],"category_scores_gemma":[0.00002060872,0.0001567647,0.000084977,0.00009097891,0.0002792859,0.0001941893,0.0002069422,0.0001239414,0.0002940064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002120756,"about_ca_system_score_gemma":0.000005410638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006259295,"about_ca_topic_score_gemma":5.014732e-7,"domain_scores_codex":[0.9988838,0.00002467613,0.0001799348,0.0003112819,0.0002218049,0.0003785478],"domain_scores_gemma":[0.9992492,0.0001542729,0.0001036571,0.0003386824,0.00000435397,0.0001498875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006141883,0.0009535177,0.2258572,0.0002710551,0.0001779514,0.000003080384,0.005952687,0.02943548,0.1328538,0.0003151231,0.06534295,0.538223],"study_design_scores_gemma":[0.001518584,0.0002937732,0.05106302,0.00010338,0.0003196411,0.00007970564,0.001003555,0.09603698,0.07867017,0.001451822,0.7677029,0.001756426],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9541439,0.0007049461,0.04218714,0.0003967986,0.000143282,0.0002401384,0.000004279582,0.00003143577,0.002148058],"genre_scores_gemma":[0.984462,0.0001709184,0.005583882,0.0002600506,0.0006495843,0.00006467981,0.00000731115,0.0000270076,0.008774571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.70236,"threshold_uncertainty_score":0.9954886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01575569929868077,"score_gpt":0.2458963706683307,"score_spread":0.2301406713696499,"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."}}