{"id":"W2998515779","doi":"","title":"Comparison of temporal variations in fine carbonaceous particles at rural and urban sites in Canada and China","year":2007,"lang":"en","type":"article","venue":"AGUSM","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"China; Geography; Environmental science; Physical geography; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001711112,0.000245753,0.000205998,0.001446734,0.001233706,0.000673348,0.0005010718,0.000291319,0.000968218],"category_scores_gemma":[0.0004425282,0.000169729,0.0002314926,0.002453187,0.0003608591,0.0002285921,0.0003902771,0.0001964784,0.00009794255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006972341,"about_ca_system_score_gemma":0.005179897,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.972581,"about_ca_topic_score_gemma":0.9856095,"domain_scores_codex":[0.999848,0.000007981062,0.000006905111,0.00003600324,0.00003927427,0.00006168172],"domain_scores_gemma":[0.9993743,0.00005217213,0.00007283656,0.00001789395,0.0003448089,0.0001380246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001470531,0.00002104973,0.9902412,0.00002372909,0.00005065379,0.0001744335,0.0009909485,0.0003877891,0.002230207,0.0001671966,0.0005171887,0.005048543],"study_design_scores_gemma":[0.000001151302,0.000003004307,0.9989972,0.000001357414,0.000006479685,0.00001658281,0.0004019658,0.0002236133,0.00008650529,0.000005976099,0.000253544,0.000002800733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979754,0.000119504,0.00006331767,0.00004657448,0.00000306706,0.000005258581,0.001042376,0.000007332362,0.0007371687],"genre_scores_gemma":[0.9978656,0.00007995701,0.00009304135,0.00001446062,0.000002692297,0.000004371922,0.0009316095,0.000002338232,0.001005824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02741903,"threshold_uncertainty_score":0.05516094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009310459717186817,"score_gpt":0.2140498609307469,"score_spread":0.2047394012135601,"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."}}