{"id":"W2049066676","doi":"10.1021/es0259685","title":"Soil Wettability As Determined from Using Low-Field Nuclear Magnetic Resonance","year":2003,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Calgary","keywords":"Wetting; Wettable powder; Porous medium; Drop (telecommunication); Penetration (warfare); Soil water; Water content; Chemistry; Nuclear magnetic resonance; Analytical Chemistry (journal); Porosity; Amplitude; Materials science; Chromatography; Soil science; Composite material; Environmental science; Geotechnical engineering; Optics; Organic chemistry; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009308847,0.0001136924,0.0001054061,0.00007200458,0.0003840051,0.00002745443,0.0003846989,0.00005572992,0.002664261],"category_scores_gemma":[0.00001046389,0.0001161095,0.0000339176,0.0003673433,0.0008950075,0.0001319312,0.000127118,0.0001691222,0.0002517992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009301254,"about_ca_system_score_gemma":0.00003614817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001613806,"about_ca_topic_score_gemma":0.000003399921,"domain_scores_codex":[0.9989217,0.00001294687,0.0001543779,0.0004342087,0.0001447146,0.0003320759],"domain_scores_gemma":[0.9994109,0.00001886571,0.00005582333,0.000445983,0.000002633135,0.00006581707],"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":[0.000003631025,0.0001595263,0.07522883,4.021423e-7,0.000001521988,0.00000122185,0.00005254156,0.000009698582,0.8775824,0.02745855,0.00001501908,0.01948671],"study_design_scores_gemma":[0.0003057849,0.0001253994,0.01069803,0.000008869226,0.00001234772,0.000004948281,0.0007929201,0.0007719629,0.9104258,0.05588848,0.02068993,0.000275518],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932463,0.00009675224,0.0007475376,0.0002232793,0.00004992274,0.0001361236,0.00001327358,0.00004458738,0.005442193],"genre_scores_gemma":[0.9964383,0.000003882234,0.003337327,0.00008529853,0.00002319931,0.00001776936,0.000001310931,0.000008642014,0.000084308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0645308,"threshold_uncertainty_score":0.9982474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004899070671355641,"score_gpt":0.2517814127697756,"score_spread":0.24688234209842,"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."}}