{"id":"W7017164357","doi":"","title":"Apparent electrical conductivity mapping in managed podzols using multi-coil and multi-frequency EMI sensor measurements","year":2017,"lang":"en","type":"dissertation","venue":"Memorial University Research Repository (Memorial University)","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"EMI; Hydraulic conductivity; Spatial variability; Electrical resistivity and conductivity; Linear regression; Mean squared error","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005184225,0.0002393288,0.0002738637,0.0005654939,0.0002779096,0.0008447559,0.0004452572,0.0002522036,0.0001366203],"category_scores_gemma":[0.0005830945,0.0001637093,0.0001663416,0.0008931967,0.0004162804,0.0004205309,0.0002837243,0.0002718346,0.00004250009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00206684,"about_ca_system_score_gemma":0.00103435,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09055422,"about_ca_topic_score_gemma":0.3071913,"domain_scores_codex":[0.9996672,0.00004157649,0.00001983934,0.0001489991,0.00008986254,0.0000326248],"domain_scores_gemma":[0.9996363,0.00007058395,0.0001229525,0.00002756068,0.0001187701,0.00002378922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003672526,0.0002304597,0.7013947,0.0001952703,0.0002157431,0.0003116033,0.000845805,0.009331558,0.2406369,0.0001945862,0.0002677196,0.04600837],"study_design_scores_gemma":[0.00001761955,0.0001984131,0.9626407,0.0000175161,0.00005962567,0.00008471478,0.0006728487,0.01838368,0.01707578,0.0001316299,0.0006916326,0.00002585748],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966966,0.00007132809,0.002586448,0.00001472462,0.000002267699,0.00001293035,0.0001857555,0.00002788779,0.0004020995],"genre_scores_gemma":[0.994115,0.00009174745,0.005201913,0.00002515549,0.000001815739,0.00001811633,0.0002168015,0.000005777079,0.0003236009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09055422,"threshold_uncertainty_score":0.1800543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1034466592291368,"score_gpt":0.3062393874075853,"score_spread":0.2027927281784485,"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."}}