{"id":"W4239750680","doi":"10.5194/acpd-13-10345-2013-supplement","title":"Supplementary material to \"Quantitative determination of carbonaceous particle mixing state in Paris using single particle mass spectrometer and aerosol mass spectrometer measurements\"","year":2013,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Spectrometer; Mass spectrometry; Aerosol; Mixing (physics); Particle (ecology); Chemistry; Physics; Analytical Chemistry (journal); Optics; Chromatography; Meteorology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006570407,0.001888141,0.001151167,0.002455354,0.0007504602,0.001168391,0.002674187,0.001283168,0.6389062],"category_scores_gemma":[0.004187462,0.0006947781,0.000853001,0.003124128,0.0002205752,0.001280932,0.00102643,0.0008497896,0.1755477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008665827,"about_ca_system_score_gemma":0.001194442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007373228,"about_ca_topic_score_gemma":0.009122757,"domain_scores_codex":[0.9994575,0.00005120174,0.00005148333,0.0001181439,0.000229367,0.00009230757],"domain_scores_gemma":[0.9980769,0.0006416377,0.0001614315,0.0003448102,0.0006494551,0.0001256574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001714481,0.0002293953,0.001316419,0.0007657814,0.00008390583,0.0001269716,0.00002984255,0.002246689,0.003560019,0.003114382,0.9675785,0.02077654],"study_design_scores_gemma":[0.0007505193,0.0003395607,0.02840338,0.0002653748,0.0001054587,0.0006669683,0.0001314471,0.01935634,0.02619853,0.0174173,0.9061453,0.0002198386],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006071866,0.0003066265,0.013494,0.0009152197,0.003570035,0.0001879237,0.9433643,0.004946812,0.02714323],"genre_scores_gemma":[0.03155705,0.0006326875,0.01796828,0.0007197551,0.001016532,0.0005395443,0.8934749,0.002477569,0.0516136],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6389062,"threshold_uncertainty_score":0.5150565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04482860132483132,"score_gpt":0.2561008487147645,"score_spread":0.2112722473899331,"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."}}