{"id":"W2020187613","doi":"10.1007/s11368-013-0709-z","title":"Evaluation of soil analytical methods for the characterization of alkaline Technosols: II. Amorphous constituents and carbonates","year":2013,"lang":"en","type":"article","venue":"Journal of Soils and Sediments","topic":"Clay minerals and soil interactions","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Minerals Research Institute of Western Australia; Australian Synchrotron; Minerals and Energy Research Institute of Western Australia","keywords":"Bauxite; Ammonium oxalate; Carbonate; Chemistry; Oxalate; Ammonium carbonate; Residue (chemistry); Sodium carbonate; Amorphous solid; Ammonium; Extraction (chemistry); Mineralogy; Environmental chemistry; Nuclear chemistry; Inorganic chemistry; Chromatography; Organic chemistry; Sodium","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":[0.002792838,0.000811473,0.0002579742,0.00137571,0.0003597327,0.0006133558,0.0007187346,0.0007323205,0.0005562906],"category_scores_gemma":[0.003222258,0.0002721704,0.0003269497,0.0006220997,0.0005422028,0.0003699395,0.0004801418,0.0004870147,0.0002802575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004039886,"about_ca_system_score_gemma":0.0009703818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002547057,"about_ca_topic_score_gemma":0.006855286,"domain_scores_codex":[0.9974934,0.001001343,0.0001594585,0.0002348805,0.0009996726,0.0001112981],"domain_scores_gemma":[0.9975757,0.0008954938,0.0003107855,0.0001446564,0.0009772098,0.00009627869],"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":[0.0002872979,0.0001362501,0.005293613,0.0003892097,0.00006424968,0.00005996449,0.0001071952,0.0005892884,0.9696863,0.0002451277,0.00008514663,0.02305632],"study_design_scores_gemma":[0.00001556741,0.0006428086,0.009245196,0.00004701583,0.00007568741,0.0002416011,0.0001569345,0.002958321,0.9839134,0.0001270118,0.002553807,0.00002277413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8286005,0.01166494,0.1514903,0.0004061939,0.000146215,0.0009479455,0.001406215,0.0001775566,0.005160184],"genre_scores_gemma":[0.8353254,0.01043989,0.1492739,0.0001707875,0.000040835,0.0005064658,0.0008138203,0.00007849144,0.003350391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002792838,"threshold_uncertainty_score":0.01477009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04733560010057712,"score_gpt":0.365246801615022,"score_spread":0.3179112015144449,"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."}}