{"id":"W2968952500","doi":"10.2136/sssaj2018.11.0419","title":"Impact of Hydrofluoric Acid Treatment on Humic Acid Properties Extracted from Organic Soils and an Organic Amendment: A Technical Evaluation","year":2019,"lang":"en","type":"article","venue":"Soil Science Society of America Journal","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Wilfrid Laurier University; University of Waterloo","funders":"University of Waterloo; Wilfrid Laurier University","keywords":"Chemistry; Organic matter; Hydrofluoric acid; Soil water; Humic acid; Aluminosilicate; Extraction (chemistry); Soil organic matter; Environmental chemistry; Amendment; Compost; Soil pH; Inorganic chemistry; Organic chemistry; Soil science; Geology; Fertilizer; Agronomy; Catalysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006791477,0.0005353122,0.0004401193,0.0004685813,0.0003950728,0.0005452566,0.000248474,0.0004795262,0.0008717988],"category_scores_gemma":[0.0009734018,0.0001793954,0.0004678238,0.0005241233,0.00037078,0.0004379237,0.0003738142,0.000530348,0.0002293039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003545055,"about_ca_system_score_gemma":0.0004901448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0025604,"about_ca_topic_score_gemma":0.005165126,"domain_scores_codex":[0.9994196,0.00009487088,0.00005652134,0.0001152156,0.0002167486,0.00009713772],"domain_scores_gemma":[0.999167,0.0002228642,0.0001867615,0.00004712205,0.0002760299,0.0001003464],"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":[0.0003313788,0.0001043169,0.0009280631,0.0003373759,0.00003554177,0.0000670311,0.00005947598,0.0001552604,0.9927599,0.00001827701,0.0000326482,0.005170839],"study_design_scores_gemma":[0.00001927555,0.001916666,0.01727206,0.00004803816,0.0001118441,0.0001030168,0.000196752,0.0004395342,0.9770074,0.00003414253,0.002828794,0.00002242067],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955979,0.001600607,0.001262049,0.00004627523,0.00004011698,0.0001140293,0.0004172477,0.00001888508,0.0009029636],"genre_scores_gemma":[0.988764,0.00303831,0.00513555,0.0001321152,0.00004018245,0.0001548095,0.0006885596,0.00003985408,0.002006664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0025604,"threshold_uncertainty_score":0.005090952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01537758659841482,"score_gpt":0.2673482303496323,"score_spread":0.2519706437512175,"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."}}