{"id":"W4408445455","doi":"10.5194/egusphere-egu25-2187","title":"Development of a Dual-Beam Optical Trap for Monitoring Water Uptake and Activation of Single Aerosol Particles","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Trap (plumbing); Aerosol; Dual (grammatical number); Beam (structure); Environmental science; Materials science; Nanotechnology; Physics; Optics; Meteorology; Environmental engineering","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":[0.0003870322,0.0003994276,0.0002968892,0.0003705208,0.0004144929,0.0003982508,0.001105171,0.000727825,0.0008296252],"category_scores_gemma":[0.0002720088,0.0003589761,0.0002036006,0.0001982469,0.0003278211,0.0005178089,0.0007663063,0.0005464553,0.0003834131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004161522,"about_ca_system_score_gemma":0.0005954567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001379504,"about_ca_topic_score_gemma":0.002445407,"domain_scores_codex":[0.9997199,0.00002145003,0.000009576577,0.00009976776,0.0001166866,0.00003267759],"domain_scores_gemma":[0.9998028,0.00004688161,0.00003449871,0.0000312837,0.00005439063,0.00003031504],"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":[0.00004084497,0.00002877886,0.0004767843,0.00003258638,0.000005548474,0.00001820491,0.00002563698,0.0005408394,0.9928174,0.0003417706,0.00009302866,0.005578587],"study_design_scores_gemma":[0.00002859868,0.0002424643,0.001551144,0.000005820833,0.00001231991,0.0001263259,0.00002540673,0.04636876,0.9484135,0.0001644339,0.003025581,0.00003574033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6585641,0.0009126759,0.332749,0.0003068011,0.0001357476,0.0006161973,0.001465135,0.001430473,0.00381982],"genre_scores_gemma":[0.5333948,0.0003752444,0.4619593,0.0001220877,0.00003270716,0.0005032577,0.0005232233,0.00009067432,0.002998757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001379504,"threshold_uncertainty_score":0.003019333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03055818323598732,"score_gpt":0.2566244520396003,"score_spread":0.226066268803613,"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."}}