{"id":"W1968284815","doi":"10.2136/sssaj2008.0174","title":"Distribution and Speciation of Nutrient Elements around Micropores","year":2009,"lang":"en","type":"article","venue":"Soil Science Society of America Journal","topic":"Clay minerals and soil interactions","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Basic Energy Sciences; Australian Government; Australian Synchrotron; U.S. Department of Energy","keywords":"Soil water; XANES; Extended X-ray absorption fine structure; Chemistry; Subsoil; Genetic algorithm; Spectroscopy; Environmental chemistry; Mineralogy; Soil science; Absorption spectroscopy; Geology; Ecology; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006789222,0.00007532155,0.00015699,0.0000342831,0.000356721,0.00009415636,0.0001916317,0.00002351627,0.00009230387],"category_scores_gemma":[0.00007550132,0.00006198501,0.0001024469,0.0003654347,0.000802692,0.0004558367,0.00003493434,0.0001040634,0.000003004396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001121902,"about_ca_system_score_gemma":0.0001373744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009313047,"about_ca_topic_score_gemma":0.000001804581,"domain_scores_codex":[0.9987276,0.00002332018,0.0003829076,0.0001548228,0.0004884676,0.0002228648],"domain_scores_gemma":[0.998957,0.00002752962,0.0005076104,0.0001012127,0.0003085752,0.00009804496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001140656,0.0001133949,0.002002502,0.000004840945,0.000004088429,2.672868e-7,0.0008719933,0.00008077959,0.9873644,0.0001621332,0.003504395,0.005879798],"study_design_scores_gemma":[0.0009162218,0.001079819,0.1070359,0.0001548064,0.00004768608,0.0001279902,0.01010118,0.007396827,0.8577333,0.006815162,0.008266242,0.0003248616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946389,0.0000790534,0.003811458,0.0009592591,0.0002005383,0.00004459078,0.00002339665,0.000005889812,0.000236974],"genre_scores_gemma":[0.9943934,0.0004576476,0.004871059,0.0001315144,0.0001009381,4.877785e-7,0.000003197271,0.000001927512,0.00003979752],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1296311,"threshold_uncertainty_score":0.2957552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01112053016714579,"score_gpt":0.2814481817469451,"score_spread":0.2703276515797993,"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."}}