{"id":"W2046978636","doi":"10.1007/s11004-011-9318-9","title":"Application of Continuous Wavelet Transform in Examining Soil Spatial Variation: A Review","year":2011,"lang":"en","type":"review","venue":"Mathematical Geosciences","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"University of Saskatchewan","keywords":"Wavelet; Wavelet transform; Scale (ratio); Spatial variability; Continuous wavelet transform; Precision agriculture; Discrete wavelet transform; Mathematics; Spatial analysis; Computer science; Pattern recognition (psychology); Statistics; Artificial intelligence; Geography; Cartography; Agriculture","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001339433,0.0002614921,0.00124601,0.00007641469,0.00005490214,0.00002029064,0.0005398625,0.0001286097,0.001058386],"category_scores_gemma":[0.0002864156,0.000191932,0.0001302663,0.0006459558,0.0003129457,0.0001244973,0.0001264951,0.0001735148,0.0002712265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006512447,"about_ca_system_score_gemma":0.00005610392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007726538,"about_ca_topic_score_gemma":0.0001287643,"domain_scores_codex":[0.9976693,0.00009335967,0.00103813,0.0004615259,0.0004259791,0.0003116657],"domain_scores_gemma":[0.9988282,0.0002657462,0.0004869213,0.0003218108,0.00001261183,0.00008465484],"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":[4.325421e-7,0.00007378787,0.000007553849,0.01174608,0.000004770063,0.000001730238,0.0002325156,4.300444e-7,5.814787e-7,0.003051265,0.00003283625,0.984848],"study_design_scores_gemma":[0.0002229069,0.0001976744,0.0005185425,0.04673872,0.0005417819,0.0000583019,0.00007381761,0.003440831,0.000001792315,0.03495618,0.9123674,0.0008820459],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00000668376,0.8722171,0.09780627,0.000026481,0.0001039278,0.001466471,0.0000288221,0.00002562964,0.02831863],"genre_scores_gemma":[0.0001728869,0.9940235,0.005266582,0.00004358971,0.00002182474,0.0002646373,0.00001375075,0.00001508709,0.000178164],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.983966,"threshold_uncertainty_score":0.9998548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0432726868559676,"score_gpt":0.2895667633395477,"score_spread":0.2462940764835801,"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."}}