{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00186427,0.001354803,0.002046888,0.003116284,0.0005652197,0.003442183,0.001482953,0.001374284,0.05952286],"category_scores_gemma":[0.003426592,0.0005386611,0.0008711116,0.002629123,0.0007855783,0.002049313,0.001158272,0.0014405,0.01836503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007355739,"about_ca_system_score_gemma":0.001971323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002512205,"about_ca_topic_score_gemma":0.005383066,"domain_scores_codex":[0.9991387,0.00008972352,0.00008664091,0.0002048539,0.0004126168,0.00006753782],"domain_scores_gemma":[0.9965019,0.0007578568,0.0001875067,0.0005832447,0.001452731,0.0005168514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001645145,0.0001694281,0.001427458,0.0006484443,0.0001240928,0.000134852,0.00004074223,0.0009629822,0.005714223,0.002715603,0.8169678,0.1709298],"study_design_scores_gemma":[0.00003926611,0.00008089605,0.007402772,0.00009150217,0.00005945875,0.0003269389,0.00007617614,0.003305963,0.003388819,0.004589261,0.9806159,0.0000230623],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.03258856,0.146629,0.08351526,0.0436512,0.5235041,0.0006492746,0.0270192,0.007963559,0.1344798],"genre_scores_gemma":[0.0641655,0.07153937,0.03914482,0.004594668,0.1950094,0.0002761866,0.05045011,0.00793297,0.5668869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05952286,"threshold_uncertainty_score":0.1991238,"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."}}