{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005039949,0.0001149454,0.0001617113,0.000547852,0.0002926613,0.0002854741,0.0002035702,0.0001810778,0.0005761308],"category_scores_gemma":[0.00008332184,0.0001640881,0.0001092733,0.0002466163,0.0002321419,0.0002717781,0.0001849513,0.0001397253,0.000138641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003405376,"about_ca_system_score_gemma":0.0001694925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008800059,"about_ca_topic_score_gemma":0.01288814,"domain_scores_codex":[0.9999369,0.000002190777,0.000002885469,0.00002691329,0.00001665409,0.00001439445],"domain_scores_gemma":[0.9999372,0.000007992225,0.00001686303,0.000002347134,0.000022538,0.00001310229],"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":[0.00008898689,0.00001413127,0.0405243,0.0001008658,0.00001943299,0.0001572094,0.0003078875,0.0002042221,0.9535619,0.0001289669,0.00005469393,0.004837373],"study_design_scores_gemma":[0.00000394666,0.0001472498,0.844309,0.00001720969,0.00001983278,0.0005455732,0.0006777257,0.002124057,0.1494524,0.0001169919,0.002568796,0.00001714961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985676,0.0003022463,0.0003726099,0.00000713698,0.000001314333,0.000006321947,0.0001962834,0.00001351708,0.0005329155],"genre_scores_gemma":[0.9980224,0.0002263128,0.0007524406,0.000008155316,0.000001625532,0.000007563626,0.0001704471,0.000002944306,0.0008080408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008800059,"threshold_uncertainty_score":0.01749766,"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."}}