{"id":"W1994828895","doi":"10.1016/j.atmosenv.2011.02.012","title":"Two-year observations of fine carbonaceous particles in variable sampling intervals","year":2011,"lang":"en","type":"article","venue":"Atmospheric Environment","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Chinese Academy of Sciences; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Environmental science; Sampling (signal processing); Variable (mathematics); Atmospheric sciences; Statistics; Mathematics; Geology; Physics; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0005789478,0.0003140814,0.0003873816,0.0006695598,0.0007435763,0.000483219,0.0004277467,0.0006838089,0.0004219963],"category_scores_gemma":[0.0008670374,0.0002775688,0.0003516717,0.0008852028,0.0001981653,0.0003348195,0.0004304313,0.0004080336,0.0001178929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004417993,"about_ca_system_score_gemma":0.0003639148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02660079,"about_ca_topic_score_gemma":0.05720597,"domain_scores_codex":[0.9998096,0.00001741107,0.00001286977,0.00006238403,0.00003716027,0.0000606518],"domain_scores_gemma":[0.9992524,0.000209863,0.0001166534,0.0001108713,0.0001842116,0.0001261068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004740439,0.00081154,0.9072127,0.00007286433,0.0003244495,0.000416343,0.0003752639,0.007029047,0.06362583,0.0001967065,0.001052835,0.01414189],"study_design_scores_gemma":[0.00003813447,0.00008312661,0.994021,0.000002052175,0.00003975035,0.00004466256,0.0000402675,0.00309007,0.0022283,0.00001899389,0.0003828042,0.00001077847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983078,0.00005123408,0.0003803723,0.00001560144,0.000009361339,0.000007506203,0.0009090396,0.0000188274,0.0003000902],"genre_scores_gemma":[0.9966801,0.00003155309,0.0006792098,0.00001315675,0.00001085196,0.0000121437,0.002359994,0.0000043802,0.0002086912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02660079,"threshold_uncertainty_score":0.05289191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0380742834676752,"score_gpt":0.204701585476968,"score_spread":0.1666273020092928,"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."}}