{"id":"W1657963302","doi":"10.4141/cjss2013-008","title":"Alternative transformations of nitrous oxide soil flux data to normal distributions","year":2013,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Shell (Canada); University of Manitoba; Agriculture and Agri-Food Canada","funders":"","keywords":"Log-normal distribution; Normal distribution; Nitrous oxide; Normality; Mathematics; Statistics; Transformation (genetics); Quantile; Flux (metallurgy); Variance (accounting); Distribution (mathematics); Soil science; Environmental science; Chemistry; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.009299125,0.0007685184,0.00073354,0.002861227,0.0005382826,0.002048961,0.001079295,0.0006215856,0.005851791],"category_scores_gemma":[0.04240151,0.0003643382,0.001350154,0.004037351,0.001272677,0.001901179,0.001508112,0.002267217,0.001388329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00196639,"about_ca_system_score_gemma":0.001545719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003631507,"about_ca_topic_score_gemma":0.004754683,"domain_scores_codex":[0.9918317,0.003771625,0.0006823292,0.00112572,0.002225259,0.0003633609],"domain_scores_gemma":[0.9851393,0.007561227,0.001292335,0.002981945,0.002867887,0.0001574317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003104168,0.000816747,0.06592017,0.0008335962,0.0006714513,0.001510592,0.002900813,0.1016406,0.03949292,0.117334,0.01590825,0.6498667],"study_design_scores_gemma":[0.0003887063,0.001141748,0.1081421,0.0003120382,0.0001828651,0.002250549,0.002781684,0.4748668,0.04490573,0.3000165,0.06455485,0.0004565031],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2319376,0.000385049,0.7528108,0.000785875,0.0003108122,0.0004840114,0.004379776,0.002633548,0.006272501],"genre_scores_gemma":[0.7273458,0.0006159927,0.2579075,0.0003618569,0.00009749023,0.0008027151,0.007067488,0.001085877,0.004715291],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009299125,"threshold_uncertainty_score":0.04917908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02147953949865255,"score_gpt":0.2372406640008877,"score_spread":0.2157611245022351,"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."}}