{"id":"W2140296069","doi":"10.5194/acp-16-799-2016","title":"Observations of cloud microphysics and ice formation during COPE","year":2016,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Division of Atmospheric and Geospace Sciences; Sight Research UK; University of Manchester; Natural Environment Research Council; Met Office; National Science Foundation","keywords":"Drizzle; Ice nucleus; Atmospheric sciences; Ice crystals; Environmental science; Precipitation; Climatology; Geology; Meteorology; Geography; Chemistry","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":[0.0001019604,0.0001935882,0.000166665,0.0003850984,0.0002403308,0.0002317788,0.0001504335,0.000191111,0.0004798451],"category_scores_gemma":[0.0003705272,0.0001191467,0.0001149748,0.0002541358,0.0001584136,0.0002061709,0.00031839,0.0001850295,0.0001065395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004563187,"about_ca_system_score_gemma":0.000127432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01500268,"about_ca_topic_score_gemma":0.03999943,"domain_scores_codex":[0.9999391,0.000004597223,0.000003432329,0.00001658265,0.00001725048,0.00001902165],"domain_scores_gemma":[0.9997091,0.00003458844,0.0001066962,0.00002436801,0.00005247252,0.00007286513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004370986,0.00006248773,0.9174134,0.0000451572,0.0000579132,0.0003229384,0.0003337922,0.0009192892,0.07499585,0.00004681659,0.0007210951,0.004644203],"study_design_scores_gemma":[0.000002883391,0.00001878841,0.9985541,0.000001845002,0.000001954947,0.00002476887,0.00002665838,0.0002943793,0.0008769797,0.000003146021,0.0001922646,0.000002244945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986681,0.00003206423,0.00008371314,0.000008668649,0.000003227673,0.000005813321,0.0008401238,0.000008469326,0.0003499376],"genre_scores_gemma":[0.99856,0.00003095604,0.0001259918,0.00001008392,0.000004847348,0.000009391661,0.001094819,0.000002929128,0.0001609096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01500268,"threshold_uncertainty_score":0.02983069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006894169443579164,"score_gpt":0.1845828231106939,"score_spread":0.1776886536671148,"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."}}