{"id":"W1977743554","doi":"10.1002/env.971","title":"Analysis of PM<sub>10</sub> air pollution in Brno based on generalized linear model with strongly rank‐deficient design matrix","year":2009,"lang":"en","type":"article","venue":"Environmetrics","topic":"Radiative Heat Transfer Studies","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Pacific Institute for the Mathematical Sciences","keywords":"Rank (graph theory); Mathematics; Generalized additive model; Matrix (chemical analysis); Statistics; Air pollution; Generalized linear model; Applied mathematics; Environmental science; Combinatorics; Chemistry","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":[0.001702402,0.0004971903,0.0004761872,0.0003019379,0.0001652779,0.000455493,0.0004131595,0.0003870885,0.000584302],"category_scores_gemma":[0.002988741,0.0002932887,0.0008115554,0.0003017903,0.0003195035,0.0002593802,0.0004388008,0.0003437569,0.0001292836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005580317,"about_ca_system_score_gemma":0.0009376813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0229388,"about_ca_topic_score_gemma":0.01998933,"domain_scores_codex":[0.9992711,0.0004488897,0.00001808731,0.0001008328,0.00009673967,0.00006429537],"domain_scores_gemma":[0.9984908,0.001043558,0.0002048484,0.00008279562,0.0001511439,0.00002680163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003358016,0.0001051572,0.02166729,0.00009197252,0.0001765909,0.0001132974,0.00005935695,0.9513944,0.008379874,0.001166766,0.000226186,0.01628327],"study_design_scores_gemma":[0.0000155821,0.00007811706,0.008887316,0.000002039379,0.00002292921,0.000008712805,0.00001175939,0.9897513,0.0008340047,0.0002831322,0.00009528534,0.000009766433],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8356067,0.0001040683,0.1631478,0.00014045,0.00001067988,0.00003931625,0.0001750218,0.0002010094,0.0005749717],"genre_scores_gemma":[0.9887007,0.00004229674,0.01065305,0.000008995633,0.000004077719,0.00002009483,0.0001582985,0.00001092735,0.0004015671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0229388,"threshold_uncertainty_score":0.04561061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656900759391162,"score_gpt":0.2201918604955183,"score_spread":0.2036228529016067,"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."}}