{"id":"W2135783234","doi":"10.5194/amt-8-4487-2015","title":"Spatial mapping of ground-based observations of total ozone","year":2015,"lang":"en","type":"article","venue":"Atmospheric measurement techniques","topic":"Spatial and Panel Data Analysis","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Kriging; Covariance; Environmental science; Geostatistics; Robustness (evolution); Satellite; Multivariate interpolation; Remote sensing; Meteorology; Interpolation (computer graphics); Spatial variability; Computer science; Mathematics; Statistics; Geology; 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":[0.0002937961,0.00009913155,0.00009609343,0.0008151077,0.00008161461,0.0002256318,0.0001801082,0.0001139519,0.000409947],"category_scores_gemma":[0.001010112,0.00009072822,0.0001519997,0.001075456,0.00009741908,0.0001595545,0.0002311011,0.00009780238,0.00007849334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002361129,"about_ca_system_score_gemma":0.0002325526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02067961,"about_ca_topic_score_gemma":0.02062682,"domain_scores_codex":[0.9998841,0.00003056059,0.000006122806,0.00003280349,0.00003315253,0.00001326153],"domain_scores_gemma":[0.999485,0.0001627065,0.0001137744,0.00006577932,0.0001497528,0.00002292606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002653591,0.0001278285,0.756788,0.0001293691,0.0003326194,0.0001953453,0.0002951241,0.1280391,0.01664885,0.002690573,0.001169355,0.09331851],"study_design_scores_gemma":[0.00001223529,0.00003988512,0.8697252,0.00001829106,0.00004118081,0.00004394717,0.0001502868,0.1253438,0.002575773,0.0006384772,0.001398902,0.00001194747],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956321,0.00006110375,0.00288095,0.00002448301,0.000002378461,0.000003371492,0.0008451204,0.00003018043,0.0005203811],"genre_scores_gemma":[0.9973355,0.00003459852,0.001869236,0.000001821951,0.000001874941,0.000002464657,0.0006456739,0.000001834651,0.0001070334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02067961,"threshold_uncertainty_score":0.04111844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.15884529367039,"score_gpt":0.2362133053870245,"score_spread":0.07736801171663443,"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."}}