{"id":"W4392901834","doi":"10.1109/tafe.2024.3369995","title":"Mapping Soil Organic Matter Under Field Conditions","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on AgriFood Electronics","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Field (mathematics); Environmental science; Soil science; Soil organic matter; Organic matter; Soil water; Mathematics; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0001880328,0.0003645847,0.0002358211,0.0006428917,0.0002646059,0.0005001266,0.0003634996,0.0003481035,0.0009173891],"category_scores_gemma":[0.0003385751,0.0001386267,0.0002766096,0.0006455941,0.0001964112,0.0004908097,0.0002175349,0.0002649578,0.0003453123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004431758,"about_ca_system_score_gemma":0.0004270917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02920117,"about_ca_topic_score_gemma":0.06204966,"domain_scores_codex":[0.9998429,0.00000863654,0.0000041363,0.00006845941,0.00004199757,0.00003384387],"domain_scores_gemma":[0.9998217,0.00003166082,0.00002864263,0.0000215498,0.00007784635,0.00001869471],"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":[0.0008062356,0.0004338987,0.1664142,0.0005590601,0.0002564328,0.0005233255,0.0005937644,0.05009838,0.4639139,0.0005026067,0.004216379,0.3116817],"study_design_scores_gemma":[0.00005078302,0.0002002639,0.5934986,0.00005781451,0.0001569065,0.0002413356,0.000754257,0.2750867,0.1220094,0.0008039656,0.007046034,0.00009387148],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723092,0.0002689708,0.02029537,0.0000591214,0.00002763835,0.00004722081,0.002413293,0.0007484511,0.00383092],"genre_scores_gemma":[0.9792259,0.0001763102,0.01794274,0.00003835902,0.00001479575,0.00002312197,0.001758303,0.00006180812,0.0007586766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02920117,"threshold_uncertainty_score":0.05806243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007971177000952897,"score_gpt":0.2208235667936455,"score_spread":0.2128523897926926,"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."}}