{"id":"W2160689339","doi":"10.5194/acp-14-8647-2014","title":"New-particle formation, growth and climate-relevant particle production in Egbert, Canada: analysis from 1 year of size-distribution observations","year":2014,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; Dalhousie University","funders":"","keywords":"Particle (ecology); Cloud condensation nuclei; Subsidence; Particle number; Aerosol; Nucleation; Environmental science; Atmospheric sciences; Particle size; Climatology; Meteorology; Chemistry; Geography; Physics; Geology; Oceanography; Thermodynamics; Geomorphology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004247931,0.0005042944,0.0003523646,0.001653034,0.001309454,0.0009446928,0.0009748046,0.0005013398,0.0007059228],"category_scores_gemma":[0.001177647,0.0003148603,0.0005825454,0.002212111,0.0003438436,0.0003653496,0.0005879105,0.0003560392,0.0001985288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01692986,"about_ca_system_score_gemma":0.009175793,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9924338,"about_ca_topic_score_gemma":0.99466,"domain_scores_codex":[0.9996116,0.00001740058,0.00001751673,0.00007057265,0.0001817083,0.0001012769],"domain_scores_gemma":[0.9982736,0.0001468822,0.0002536495,0.00006571026,0.0009857911,0.000274355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001307687,0.00003940827,0.9893926,0.00004412641,0.0001167879,0.00015336,0.0004237014,0.001842891,0.001019868,0.00008516903,0.001164422,0.005586877],"study_design_scores_gemma":[0.000003430832,0.000008542203,0.9966133,0.00000806186,0.00001537199,0.00001867861,0.0002062143,0.001859624,0.0002515848,0.000008241433,0.0009973071,0.000009576472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869531,0.0003561738,0.0002997128,0.00005488424,0.00000561663,0.00003499718,0.01081779,0.00002831748,0.001449346],"genre_scores_gemma":[0.9843566,0.0003531812,0.0006849143,0.00004985151,0.000005645009,0.00003424382,0.01266392,0.0000133488,0.001838367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01692986,"threshold_uncertainty_score":0.1228353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006997529343569324,"score_gpt":0.174377705027963,"score_spread":0.1673801756843937,"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."}}