{"id":"W2965800412","doi":"10.1007/s11119-019-09678-2","title":"Modelling DUALEM-2 measured soil conductivity as a function of measuring depth to correlate with soil moisture content and potato tuber yield","year":2019,"lang":"en","type":"article","venue":"Precision Agriculture","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Prince Edward Island","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Yield (engineering); Water content; Soil science; Vertical electrical sounding; Soil water; DNS root zone; Precision agriculture; Reflectometry; Environmental science; Agronomy; Geology; Materials science; Geography; Agriculture; Geotechnical engineering; Composite material; Groundwater; Time domain","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":[0.0003163917,0.0002754156,0.0003423275,0.00004237678,0.0001285603,0.00004594817,0.0001221929,0.0002100783,0.00004863366],"category_scores_gemma":[0.00006324868,0.0001593114,0.00008123266,0.0003163372,0.0000601907,0.0002535209,0.0001192449,0.0003421365,0.0001322222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008579044,"about_ca_system_score_gemma":0.0000125325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001783087,"about_ca_topic_score_gemma":0.003215464,"domain_scores_codex":[0.9980708,0.00007759152,0.0002677627,0.0005738037,0.0007306123,0.000279434],"domain_scores_gemma":[0.9991868,0.00009730917,0.0001514891,0.0002765006,0.00009137432,0.0001965353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0007516277,0.0001420656,0.04706468,0.00003809888,0.0001080456,0.00001240947,0.002190223,0.5470474,0.3762788,0.00001677777,0.00130422,0.02504561],"study_design_scores_gemma":[0.001981616,0.0007775825,0.9413166,0.0007637659,0.0002585851,0.0002528579,0.00201142,0.01165543,0.03799463,0.0003172989,0.00173567,0.0009345586],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828458,0.0002123852,0.005427769,0.0002386532,0.0002837088,0.0005514426,0.0000021183,0.0000515775,0.01038651],"genre_scores_gemma":[0.9974325,0.00002239983,0.0007061482,0.000207225,0.0000480077,0.000003287405,0.000004085741,0.00001934014,0.001556996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8942519,"threshold_uncertainty_score":0.649653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02934925382359273,"score_gpt":0.1976091152774084,"score_spread":0.1682598614538157,"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."}}