{"id":"W1971472581","doi":"10.1002/1099-095x(200011/12)11:6<651::aid-env440>3.0.co;2-2","title":"Interpolating Vancouver's daily ambient PM10 field","year":2000,"lang":"en","type":"article","venue":"Environmetrics","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"","keywords":"Residual; Field (mathematics); Statistics; Spatial distribution; Distribution (mathematics); Environmental science; Econometrics; Computer science; Mathematics; Algorithm","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004009105,0.000150923,0.0001556362,0.00006345896,0.0002168265,0.00002521046,0.0002539817,0.0001203684,0.04477533],"category_scores_gemma":[0.0002002068,0.0001466686,0.00006217066,0.0005240793,0.00009526282,0.0002589779,0.00012507,0.0002886125,0.005421532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002341667,"about_ca_system_score_gemma":0.000007048621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006779499,"about_ca_topic_score_gemma":0.0002130271,"domain_scores_codex":[0.9984484,0.0000690077,0.0003040582,0.0003168539,0.0004063091,0.0004553841],"domain_scores_gemma":[0.9990852,0.000221624,0.00007665083,0.000349908,0.000001144475,0.0002654419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004040349,0.0001953156,0.07540462,0.00001469717,0.000007724783,0.00001655117,0.001153026,0.00239016,0.0001987625,0.00003852323,0.1879892,0.732551],"study_design_scores_gemma":[0.0003480059,0.0002927265,0.114322,0.00001251119,0.0000108559,0.000004817824,0.0001207861,0.003980708,0.0008912637,0.000463495,0.8792404,0.0003123932],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8398637,0.0001299132,0.00685858,0.001605198,0.0004529769,0.0002772278,0.000009629134,0.0001135932,0.1506892],"genre_scores_gemma":[0.9661861,0.0001972678,0.007653408,0.0122779,0.0001177807,0.000008373305,0.000004613658,0.00002446914,0.01353006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7322387,"threshold_uncertainty_score":0.9953529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01925985139581861,"score_gpt":0.2626738487430588,"score_spread":0.2434139973472402,"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."}}