{"id":"W2953208691","doi":"10.48550/arxiv.1905.10297","title":"A DFA-based bivariate regression model for estimating the dependence of PM2.5 among neighbouring cities","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of New Brunswick","funders":"","keywords":"Bivariate analysis; Statistics; Estimator; Mathematics; Regression analysis; Statistic; Linear regression; Econometrics; Scale (ratio); Detrended fluctuation analysis; Regression dilution; Regression; Standardized coefficient; Polynomial regression; Scaling; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.002934305,0.001041293,0.001183749,0.001630184,0.0005024808,0.00138958,0.001944744,0.001066589,0.001781402],"category_scores_gemma":[0.007217133,0.0005864081,0.001573553,0.00264902,0.0006700701,0.001512678,0.0009614167,0.001576516,0.0005356047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001193,"about_ca_system_score_gemma":0.001205655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02730771,"about_ca_topic_score_gemma":0.01442793,"domain_scores_codex":[0.9984348,0.0007690648,0.00008149949,0.0004121858,0.0001726641,0.000129687],"domain_scores_gemma":[0.9981655,0.00104595,0.0002410906,0.0001171534,0.0003740938,0.00005614766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001230735,0.0001049856,0.01955694,0.0001528054,0.0003388287,0.0003191236,0.0003138706,0.8588446,0.002700946,0.05647784,0.003172406,0.05789459],"study_design_scores_gemma":[0.000005860642,0.00001571189,0.001879877,0.000007410814,0.00002458096,0.00002104523,0.00001792871,0.9930267,0.00009430747,0.004314265,0.0005749047,0.00001749955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04346451,0.000463222,0.9524595,0.0004858084,0.00008736025,0.0000797522,0.0009376678,0.0003543361,0.001667844],"genre_scores_gemma":[0.8026175,0.001289505,0.1856115,0.0001859121,0.0001529509,0.0006577409,0.002488988,0.000165281,0.006830548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02730771,"threshold_uncertainty_score":0.05429757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1076350424918076,"score_gpt":0.190589238159111,"score_spread":0.08295419566730342,"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."}}