{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002525173,0.0003465072,0.0001645179,0.0004262806,0.0001713533,0.0003213891,0.0001637981,0.0002370562,0.001580826],"category_scores_gemma":[0.0004415507,0.0001059048,0.0001551391,0.0004303841,0.0001730058,0.000263293,0.000165823,0.0002664735,0.0004224646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002047752,"about_ca_system_score_gemma":0.0001502527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001692601,"about_ca_topic_score_gemma":0.00343272,"domain_scores_codex":[0.9998229,0.00002752727,0.000008371963,0.00003006221,0.00008217371,0.00002900955],"domain_scores_gemma":[0.999706,0.0000844305,0.00008767242,0.00001550295,0.00007860943,0.00002776035],"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":[0.00004335019,0.000006518701,0.0007883672,0.00001851493,0.000005941755,0.00001564171,0.00001047097,0.00005180122,0.9971074,0.00001933851,0.00002002738,0.001912519],"study_design_scores_gemma":[0.000003369502,0.0002680855,0.01662228,0.000004408322,0.00001770565,0.00009863735,0.00003858765,0.001009437,0.9811639,0.00005552888,0.0007094308,0.000008674555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825951,0.001039057,0.01165931,0.00004058929,0.00002528945,0.00004347943,0.001024691,0.000121713,0.003450833],"genre_scores_gemma":[0.9863794,0.001469827,0.007721971,0.00004428221,0.000009671906,0.00006297073,0.001420469,0.00003209131,0.002859467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001692601,"threshold_uncertainty_score":0.005288422,"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."}}