{"id":"W2039047181","doi":"10.1016/j.geoderma.2010.09.029","title":"Comparing the use of the traditional and repeated-sampling-approach of the 137Cs technique in soil erosion estimation","year":2010,"lang":"en","type":"article","venue":"Geoderma","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada; Memorial University of Newfoundland; University of Manitoba","funders":"Agriculture and Agri-Food Canada","keywords":"Erosion; Environmental science; Sampling (signal processing); Hydrology (agriculture); Landform; Soil science; Tillage; Statistics; Mathematics; Geology; Computer science; Agronomy; Geotechnical engineering; Geomorphology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001980486,0.00005536791,0.00007740405,0.000004967177,0.0001306409,0.00001365187,0.0001680398,0.00005793044,0.00001386227],"category_scores_gemma":[0.00002622362,0.00001386584,0.00004653441,0.0001542065,0.0001337058,0.00005508396,0.00002684959,0.0001648024,1.642455e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003298288,"about_ca_system_score_gemma":0.000005253525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004654907,"about_ca_topic_score_gemma":0.0006853284,"domain_scores_codex":[0.9994628,0.00004259355,0.0001661133,0.00009628232,0.0001580557,0.00007409978],"domain_scores_gemma":[0.9997069,0.000105705,0.00007795647,0.00007210799,0.00002332303,0.00001396534],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001446839,0.0001097147,0.2650284,0.000009985582,0.000002357913,7.031098e-8,0.000192846,0.001150093,0.7301468,0.00102358,0.00009273599,0.002228932],"study_design_scores_gemma":[0.00007345989,0.00001181166,0.9626352,0.0000262698,0.000004923981,0.000004951436,0.00003279981,0.008277738,0.02833642,0.0003722247,0.000188901,0.00003530536],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987772,0.00000599142,0.00005866069,0.0007607267,0.00005959966,0.0002134268,0.00001043018,0.000009579074,0.0001044222],"genre_scores_gemma":[0.9995841,0.000005114061,0.0002334695,0.0001109928,0.00001550593,0.0000144856,0.00001489437,4.506561e-7,0.0000210028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7018104,"threshold_uncertainty_score":0.1004797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1055569993597439,"score_gpt":0.2265518900075784,"score_spread":0.1209948906478345,"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."}}