{"id":"W2007731822","doi":"10.1155/2011/904561","title":"Remote Sensing of Soil","year":2011,"lang":"en","type":"article","venue":"Applied and Environmental Soil Science","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Remote sensing; Environmental science; Computer science; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0003319818,0.0004932233,0.0003810265,0.001146463,0.0002078476,0.0007794136,0.0004294569,0.0005185629,0.002721982],"category_scores_gemma":[0.0005049805,0.0001047545,0.0002775992,0.002353606,0.0001917486,0.0006326733,0.0006606124,0.0004647663,0.00173421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003134452,"about_ca_system_score_gemma":0.000378794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003619666,"about_ca_topic_score_gemma":0.003766178,"domain_scores_codex":[0.9996477,0.00004095618,0.00001303641,0.00009004575,0.0001768377,0.00003145969],"domain_scores_gemma":[0.9998609,0.0000224218,0.00002890638,0.00002257246,0.00005240846,0.00001273979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001473407,0.000129385,0.02187574,0.00136596,0.0002109359,0.0002913854,0.0001435268,0.01618377,0.1452388,0.009628726,0.02811929,0.7766652],"study_design_scores_gemma":[0.0001883383,0.0004190364,0.2691754,0.0005806537,0.0003557442,0.001718355,0.0005323265,0.1086315,0.1086352,0.02272491,0.4866899,0.0003487223],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3118713,0.1172224,0.3621711,0.003361313,0.001902129,0.0004520062,0.04506507,0.006937915,0.1510168],"genre_scores_gemma":[0.8637653,0.02095875,0.09086314,0.0006368692,0.0004199869,0.00009254994,0.01237458,0.0001745947,0.01071426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003619666,"threshold_uncertainty_score":0.00910598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155455873027483,"score_gpt":0.1850015723585376,"score_spread":0.1734470136282627,"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."}}