{"id":"W2009521630","doi":"10.5194/amt-8-2449-2015","title":"The micro-orifice uniform deposit impactor–droplet freezing technique (MOUDI-DFT) for measuring concentrations of ice nucleating particles as a function of size: improvements and initial validation","year":2015,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Environment; National Science Foundation","keywords":"Aerosol; Materials science; Particle (ecology); Substrate (aquarium); Nanotechnology; Meteorology; Geology; Physics","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":[0.003911982,0.00063731,0.0003783786,0.0009570988,0.0004642942,0.000580654,0.001027921,0.0007437068,0.0006049795],"category_scores_gemma":[0.003208165,0.0003410431,0.0004622862,0.0004361949,0.0006965087,0.0007032436,0.0006351683,0.0009551771,0.000213847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006523905,"about_ca_system_score_gemma":0.0006378082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00285431,"about_ca_topic_score_gemma":0.004275076,"domain_scores_codex":[0.9984446,0.0002328351,0.00009925421,0.0002509232,0.0008810809,0.0000912344],"domain_scores_gemma":[0.997714,0.0007397253,0.0001760023,0.000314393,0.000982323,0.00007354163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004625303,0.00007266096,0.004012182,0.0001137447,0.00002010178,0.0000592865,0.00009780296,0.0006220901,0.9780718,0.000317059,0.0001114451,0.01645559],"study_design_scores_gemma":[0.000007975053,0.0003398834,0.007074689,0.00001605684,0.00002733925,0.0002851237,0.00005018473,0.007999482,0.9815937,0.00008364111,0.00249243,0.00002942638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5965031,0.005544193,0.3926159,0.0003063197,0.0001831575,0.001009347,0.0008501043,0.0006248481,0.002363091],"genre_scores_gemma":[0.5406216,0.003742978,0.4522309,0.00009800582,0.00004496256,0.0005685164,0.0009284528,0.0001455973,0.001618841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003911982,"threshold_uncertainty_score":0.02068883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03186154722276052,"score_gpt":0.2510642552611431,"score_spread":0.2192027080383826,"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."}}