{"id":"W4308762231","doi":"10.5281/zenodo.7311804","title":"Multi-horizon Predictive Soil Mapping of Historical Soil Properties using Remote Sensing Imagery","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Horizon; Remote sensing; Soil science; Geology; Environmental science; Mathematics; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006433129,0.0001171646,0.0001491745,0.0001262281,0.002257588,0.0001139398,0.0004165896,0.0000278287,0.00296491],"category_scores_gemma":[0.0003883156,0.0001299355,0.00004570881,0.0004967112,0.0001694602,0.0001522465,0.002222725,0.0002604671,0.000278497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112306,"about_ca_system_score_gemma":0.000004767957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007839036,"about_ca_topic_score_gemma":0.000001255458,"domain_scores_codex":[0.9982404,0.0003154636,0.000274081,0.000361512,0.0004994826,0.0003090696],"domain_scores_gemma":[0.9993603,0.00001783067,0.0001589176,0.0002689131,0.00009410929,0.00009990521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001845498,0.0002536109,0.00004693481,0.0001352722,0.000073608,0.00007667565,0.009068673,0.04698711,0.5548549,0.00006354391,0.03797346,0.3502817],"study_design_scores_gemma":[0.0006280507,0.000384705,0.0009201428,0.00005386774,0.00002779227,0.0001934458,0.002189441,0.4725819,0.00235172,0.0001484536,0.5201762,0.0003443114],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6609612,0.0001541539,0.3019048,0.0004362375,0.0005234554,0.0007746602,0.0002073623,0.0006883375,0.03434983],"genre_scores_gemma":[0.9901852,0.00001805703,0.00802768,0.00005882436,0.00006690237,1.515052e-8,0.0001239742,0.0005944148,0.0009249594],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5525032,"threshold_uncertainty_score":0.9990413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05261055639480353,"score_gpt":0.225067734199932,"score_spread":0.1724571778051285,"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."}}