{"id":"W4248083374","doi":"10.5194/acpd-15-10853-2015","title":"Biotic stress accelerates formation of climate-relevant aerosols in boreal forests","year":2015,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Biotieteiden ja Ympäristön Tutkimuksen Toimikunta; Koneen Säätiö; Academy of Finland; Itä-Suomen Yliopisto","keywords":"Environmental science; Taiga; Boreal; Scots pine; Atmospheric sciences; Isoprene; Aerosol; Vegetation (pathology); Climate change; Troposphere; Monoterpene; Ecology; Environmental chemistry; Chemistry; Botany; Geography; Biology; Meteorology; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000193389,0.0002929402,0.0002013621,0.0001629891,0.0002445215,0.0003059206,0.0001557268,0.0001933556,0.0003825032],"category_scores_gemma":[0.0001025233,0.0001174702,0.0003679786,0.00009125377,0.0001221511,0.000220201,0.0001794241,0.0001979068,0.00005081845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004365472,"about_ca_system_score_gemma":0.0001853834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01040752,"about_ca_topic_score_gemma":0.0115141,"domain_scores_codex":[0.9999341,0.00001257139,0.000004606969,0.00002100822,0.00001208612,0.0000155913],"domain_scores_gemma":[0.9998865,0.00001917138,0.00003456649,0.000008255934,0.00001705567,0.00003444906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000609323,0.0003414838,0.4173071,0.0001309363,0.0001891629,0.0003420105,0.0001644326,0.003649213,0.5683013,0.0001452151,0.0002647926,0.008555011],"study_design_scores_gemma":[0.000006392943,0.0001875522,0.9897172,0.000002444245,0.00002192221,0.00007239288,0.00007847366,0.002582371,0.007021205,0.00003424392,0.0002696394,0.000006156271],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994267,0.0001595525,0.0001056408,0.00001141317,0.000004251098,0.000003286382,0.00006667089,0.000009029793,0.0002135095],"genre_scores_gemma":[0.9995962,0.00006304012,0.0001284088,0.00001082889,0.00000271898,0.000003319838,0.0001232393,0.000001206236,0.00007103145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01040752,"threshold_uncertainty_score":0.02069384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02743628271002102,"score_gpt":0.2482061341178944,"score_spread":0.2207698514078734,"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."}}