{"id":"W2751107976","doi":"10.1038/ngeo3018","title":"Comprehensive characterization of atmospheric organic carbon at a forested site","year":2017,"lang":"en","type":"article","venue":"Nature Geoscience","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":122,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; University of Toronto","funders":"","keywords":"Total organic carbon; Aerosol; Environmental science; Environmental chemistry; Volatility (finance); Atmospheric chemistry; Air quality index; Chemistry; Atmospheric sciences; Ozone; Meteorology; Organic chemistry; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.00007892607,0.0001242521,0.0001645904,0.000001890463,0.0004368513,0.00006412267,0.000508194,0.0001629966,0.0006106538],"category_scores_gemma":[0.0001011611,0.0001018199,0.00003944561,0.0001840813,0.0002933632,0.0002391461,0.0000577139,0.0001969859,0.00002637537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007378945,"about_ca_system_score_gemma":0.00005085915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003810133,"about_ca_topic_score_gemma":0.0003110403,"domain_scores_codex":[0.9989961,0.00001621063,0.0001520925,0.0003004094,0.0002925473,0.0002426814],"domain_scores_gemma":[0.9990469,0.00004011302,0.000290423,0.0004421274,0.00008819934,0.00009228204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002579222,0.000008165928,0.7012467,0.00002476552,0.000003664373,0.00000863237,0.00009375211,0.00002874638,0.2970672,0.000004445302,0.00001066799,0.00147749],"study_design_scores_gemma":[0.0001602019,0.00003972321,0.9775959,0.00002133379,0.000006672556,0.00001403847,0.00001366452,0.008122955,0.01247481,0.00002491119,0.001397996,0.000127813],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971943,0.0001554089,0.00005612042,0.0001329492,0.000401438,0.0001076673,0.00004873056,0.00002481751,0.001878545],"genre_scores_gemma":[0.997802,0.00003623967,0.0005730092,0.0001346004,0.00007804315,4.800265e-7,0.00007153473,0.000002694652,0.001301427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2845924,"threshold_uncertainty_score":0.6686231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007854234439248002,"score_gpt":0.212534200596383,"score_spread":0.204679966157135,"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."}}