{"id":"W2503892574","doi":"10.5539/jas.v8n9p152","title":"Soil Mapping in Chongwe, Zambia by Digital Analysis of Landsat Data","year":2016,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thematic Mapper; Remote sensing; Soil map; Digital soil mapping; Soil water; Environmental science; Dry season; Vegetation (pathology); Satellite imagery; Thematic map; Geography; Cartography; Soil science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0002585361,0.000170443,0.0000901596,0.0011464,0.0003297268,0.0005502368,0.0001765254,0.0001158498,0.0004306958],"category_scores_gemma":[0.0006066256,0.0001984724,0.0001313786,0.001563664,0.0001906911,0.0002764474,0.000365562,0.0001588786,0.00007070248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009886732,"about_ca_system_score_gemma":0.0008569852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1621687,"about_ca_topic_score_gemma":0.3722119,"domain_scores_codex":[0.999897,0.00002298975,0.00001056028,0.00001740881,0.00002124072,0.00003072059],"domain_scores_gemma":[0.9998838,0.00002049953,0.0000427244,0.00001600766,0.00002845144,0.000008586549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002180164,0.00008085054,0.7256982,0.0006674563,0.0001128033,0.001829631,0.005792743,0.003944051,0.06142183,0.001316718,0.001494414,0.1974233],"study_design_scores_gemma":[0.000009064437,0.0000280963,0.9907212,0.00007761744,0.00003408837,0.0001327643,0.001791186,0.002019732,0.001567309,0.00006662134,0.003544001,0.000008341335],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960533,0.0007754315,0.001246599,0.0001071262,0.000003108239,0.00007080116,0.0005090208,0.0000203733,0.001214054],"genre_scores_gemma":[0.9930521,0.00067673,0.005157795,0.00002113705,0.000001558191,0.00005251694,0.0004115687,0.000004048919,0.000622593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1621687,"threshold_uncertainty_score":0.3224495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01414328526195023,"score_gpt":0.2266991552844345,"score_spread":0.2125558700224842,"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."}}