{"id":"W4236461058","doi":"10.5194/acp-2018-159-supplement","title":"Supplementary material to \"Production of particulate brown carbon during atmospheric aging of wood-burning emissions\"","year":2018,"lang":"en","type":"preprint","venue":"","topic":"activated carbon and charcoal","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Particulates; Production (economics); Environmental science; Chemistry; Organic chemistry; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001404322,0.0003240976,0.0007223035,0.000128959,0.00009296084,0.00009269081,0.0007901895,0.0002081679,0.005590699],"category_scores_gemma":[0.0005586783,0.0002519513,0.0002101761,0.0005721879,0.0001192932,0.00009135341,0.001654449,0.0002905413,0.000008322017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001103291,"about_ca_system_score_gemma":0.0001408941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001130083,"about_ca_topic_score_gemma":0.00004939503,"domain_scores_codex":[0.9954501,0.0002334671,0.001439738,0.0009718774,0.001506844,0.000398011],"domain_scores_gemma":[0.9973015,0.00007345516,0.0008228877,0.001152614,0.0004466212,0.0002029598],"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":[0.0005285821,0.0001735122,0.03335352,0.0002249391,0.0002071007,0.00001203096,0.004650638,0.00931427,0.9427711,0.00002477552,0.004764571,0.003975003],"study_design_scores_gemma":[0.000285882,0.00008646784,0.005967149,0.0003365111,0.00005998004,0.000007941146,0.001994907,0.001308405,0.9878147,0.001151544,0.0006448047,0.000341748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993732,0.00001883431,0.0001113508,0.0006359392,0.003750738,0.0003998393,0.0000731934,0.00004608027,0.001231992],"genre_scores_gemma":[0.9947492,0.0000112534,0.002914171,0.00003317056,0.0005438823,0.00002071094,0.00003750131,0.00003075673,0.001659308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0450436,"threshold_uncertainty_score":0.9999933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04284623587893995,"score_gpt":0.3320037810183972,"score_spread":0.2891575451394573,"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."}}