{"id":"W2276614114","doi":"","title":"Nano-Scale Secondary Ion Mass Spectrometry - A new analytical tool in biogeochemistry and soil ecology","year":2006,"lang":"en","type":"article","venue":"University of North Texas Digital Library (University of North Texas)","topic":"Ion-surface interactions and analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of Science; Newcastle University; U.S. Department of Energy; Australian Government; European Commission; Lawrence Livermore National Laboratory; Ontario Ministry of Natural Resources and Forestry","keywords":"Biogeochemistry; Soil water; Secondary ion mass spectrometry; Ecology; Environmental science; Earth science; Mass spectrometry; Soil science; Geology; Chemistry; Biology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00002518099,0.0002151628,0.0004223663,0.0005076724,0.00008572864,0.00003461148,0.0003470881,0.0001283837,0.0007220624],"category_scores_gemma":[0.000004315705,0.0003025945,0.0002078867,0.0008170892,0.0002287201,0.001645276,0.0001965478,0.0002663466,0.00004254876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007812396,"about_ca_system_score_gemma":0.0001015013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006568625,"about_ca_topic_score_gemma":0.003377637,"domain_scores_codex":[0.9990073,0.00001762071,0.0001992123,0.0003234689,0.0001629884,0.000289436],"domain_scores_gemma":[0.9994306,0.00007125593,0.0001100275,0.0002363059,0.00003442655,0.0001173819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000655941,0.000114124,0.9925286,0.00008100591,0.0001104625,0.0001240446,0.00001517341,0.002457637,0.00002252534,0.00003881698,0.002800914,0.001641055],"study_design_scores_gemma":[0.0007407026,0.00006893514,0.9892989,0.00003357699,0.00007605301,0.00001080911,0.00007597735,0.003414179,0.0002261612,0.0001200747,0.005634197,0.0003004543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889965,0.00005976285,0.0004621485,0.0001298105,0.00004014649,0.00007922015,0.0005362979,0.0001070865,0.009588999],"genre_scores_gemma":[0.9928347,0.000115286,0.001019973,0.000007799686,0.00002878225,7.630399e-9,0.0003909657,0.00001595281,0.005586503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004002496,"threshold_uncertainty_score":0.9999426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003424641065836015,"score_gpt":0.1470827485999651,"score_spread":0.1436581075341291,"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."}}