{"id":"W2909315557","doi":"10.1139/cgj-2017-0718","title":"Using neutron spectroscopy to measure soil-water retention at high suction ranges","year":2019,"lang":"en","type":"article","venue":"Canadian Geotechnical Journal","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Forsknings- og Innovationsstyrelsen; Danish Agency for Science and Higher Education; DanScatt","keywords":"Geotechnical engineering; Measure (data warehouse); Suction; Soil water; Spectroscopy; Environmental science; Geology; Soil science; Materials science; Engineering; Physics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002532186,0.0002544903,0.0002009651,0.0004356895,0.0002130183,0.00020937,0.0001381987,0.0002249663,0.0005492731],"category_scores_gemma":[0.0004000127,0.00008586446,0.00007121811,0.0003470861,0.0002334911,0.0003277446,0.000251654,0.0001866467,0.0001507473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002350141,"about_ca_system_score_gemma":0.0001787423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002123527,"about_ca_topic_score_gemma":0.007648472,"domain_scores_codex":[0.9998951,0.00001791609,0.000007908164,0.0000181538,0.00004676604,0.00001422414],"domain_scores_gemma":[0.9997619,0.00008528805,0.00005212312,0.00001290229,0.00006849769,0.00001932486],"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":[0.0000605624,0.00001690652,0.005448099,0.00005309337,0.000005880771,0.00002455774,0.00004461084,0.0002950362,0.9877736,0.00005545384,0.00001572042,0.006206515],"study_design_scores_gemma":[0.000009858161,0.0005033314,0.05381525,0.00002187289,0.00002707002,0.0002083132,0.0002221189,0.003756951,0.9397074,0.0002126263,0.001491978,0.00002322011],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805564,0.0006618486,0.01630187,0.00002325784,0.000008124596,0.00003794337,0.0001475656,0.00006408702,0.002198873],"genre_scores_gemma":[0.9875662,0.0007295883,0.01071327,0.00002187469,0.0000041932,0.00002948973,0.0001327071,0.0000115785,0.0007909688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002123527,"threshold_uncertainty_score":0.004222333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485858230443776,"score_gpt":0.2019725275268454,"score_spread":0.1871139452224076,"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."}}