{"id":"W2766128843","doi":"","title":"A Quantitative Study of Ozone Deposition Velocity over a Mixed Temperate-Boreal Forest","year":2017,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Temperate climate; Temperate forest; Ozone; Environmental science; Taiga; Temperate rainforest; Boreal; Atmospheric sciences; Deposition (geology); Geography; Forestry; Physical geography; Meteorology; Geology; Ecology; Ecosystem; Geomorphology; Archaeology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001196641,0.0002284212,0.0003626339,0.000008843861,0.0002460513,0.00006582519,0.0002481039,0.0001832549,0.0006017071],"category_scores_gemma":[0.00007019089,0.0002012052,0.00007202402,0.00009037477,0.00005008269,0.0001239354,0.000005337395,0.0002200989,0.00002864937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006374622,"about_ca_system_score_gemma":0.0001060339,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03112733,"about_ca_topic_score_gemma":0.1035166,"domain_scores_codex":[0.9988978,0.0000558839,0.0002319096,0.0003173669,0.0003047533,0.0001922803],"domain_scores_gemma":[0.9990281,0.00007878177,0.0004291549,0.0002932037,0.00009257311,0.00007818734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005205189,0.001326584,0.8879395,0.001288588,0.0009107447,0.0002188111,0.06446326,0.001234925,0.009748529,0.0000716542,0.003658495,0.02393371],"study_design_scores_gemma":[0.0006255661,0.0006315273,0.9735211,0.000123932,0.00009634272,0.000002415663,0.02046023,0.0009688893,0.003213385,0.00004502671,0.00004120769,0.0002704146],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9737051,0.0001864985,0.00001398946,0.00001078405,0.0002810747,0.0003330392,0.00005124399,0.00002341149,0.02539486],"genre_scores_gemma":[0.9900221,0.00002608879,0.0004042105,0.000005003168,0.00007017474,0.000005303078,0.00206163,0.000007270688,0.007398173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08558155,"threshold_uncertainty_score":0.9753245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02473070946114971,"score_gpt":0.3113072955159919,"score_spread":0.2865765860548422,"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."}}