{"id":"W4299935859","doi":"","title":"Remote Sensing of Soil, special issue of the journal Applied and Environmental Soil Science","year":2011,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Environmental science; Remote sensing; Soil science; Earth science; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004294653,0.000190963,0.0002891812,0.0001394208,0.0004576722,0.0001202381,0.0007685113,0.0001357129,0.0002291141],"category_scores_gemma":[0.0002913177,0.0001438113,0.00009926609,0.0002081088,0.001217466,0.00007693626,0.0003665912,0.0005053861,0.000007973065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001417357,"about_ca_system_score_gemma":0.000251446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005954247,"about_ca_topic_score_gemma":0.004456646,"domain_scores_codex":[0.9972011,0.001256563,0.0004283709,0.0003430202,0.0005175487,0.0002533985],"domain_scores_gemma":[0.9976433,0.0003683878,0.0006462819,0.0009379564,0.0002616936,0.0001423732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005968426,0.00008549917,0.008543432,0.0001241444,0.00005517199,0.000003540255,0.02023201,0.0008532877,0.009048952,0.0002788901,0.0004545741,0.9602608],"study_design_scores_gemma":[0.001499703,0.000004756821,0.3138483,0.003326973,0.0002908148,0.0003558399,0.002218618,0.2133392,0.4392544,0.01561903,0.009022538,0.001219777],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9086077,0.0003905559,0.002349921,0.0004777928,0.0005908765,0.0001673659,0.00004549654,0.00001570372,0.08735465],"genre_scores_gemma":[0.9871824,0.0008616195,0.01084998,0.00003128193,0.0001103536,1.560397e-8,0.00003507007,0.000007484115,0.0009218068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9590411,"threshold_uncertainty_score":0.900108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01078639589011719,"score_gpt":0.1852580585939531,"score_spread":0.1744716627038359,"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."}}