{"id":"W3097375247","doi":"10.1021/acsearthspacechem.0c00215","title":"Unraveling Mechanisms behind Biomass–Clay Interactions Using Comprehensive Multiphase Nuclear Magnetic Resonance (NMR) Spectroscopy","year":2020,"lang":"en","type":"article","venue":"ACS Earth and Space Chemistry","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Fondo Argentino Sectorial; University of Toronto Scarborough; Natural Sciences and Engineering Research Council of Canada; University of Toronto; Ministerio de Ciencia, Tecnología e Innovación Productiva; Agencia Nacional de Promoción Científica y Tecnológica; Consejo Nacional de Investigaciones Científicas y Técnicas; Universidad Nacional de San Martín; Canada Research Chairs","keywords":"Biomass (ecology); Nuclear magnetic resonance spectroscopy; Clay minerals; Chemistry; Soil water; Environmental chemistry; Spectroscopy; Organic matter; Two-dimensional nuclear magnetic resonance spectroscopy; Chemical engineering; Organic chemistry; Soil science; Mineralogy; Environmental science; Ecology; Stereochemistry; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.00001897367,0.0001982641,0.0001876894,0.00001420475,0.0002913709,0.00009947735,0.0001200023,0.00004576846,0.0006345874],"category_scores_gemma":[0.000005510344,0.0002153456,0.00006259154,0.0001185685,0.00007536346,0.0001016335,0.00007435236,0.0002687807,0.00004125459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001029372,"about_ca_system_score_gemma":0.00003563264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001257913,"about_ca_topic_score_gemma":0.00000200026,"domain_scores_codex":[0.9990692,0.00001110641,0.0001690265,0.0003720477,0.0001024583,0.0002761345],"domain_scores_gemma":[0.999411,0.00003429562,0.00008361551,0.0002012144,0.00004644148,0.0002233779],"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":[0.00002261255,0.00004325807,0.000436522,0.00002111895,0.00001461645,0.000003203357,0.0003209278,0.00002403256,0.9975323,0.0009290988,0.0001524569,0.0004998691],"study_design_scores_gemma":[0.0005776527,0.00003652722,0.0002187979,0.00003456311,0.00003868495,0.000006071733,0.0008233146,0.007568232,0.9752219,0.0005792424,0.01463936,0.0002557117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839885,0.0003849894,0.0115176,0.001021412,0.00003369493,0.0001598451,0.00009373884,0.000059282,0.002740935],"genre_scores_gemma":[0.9825222,0.00001716508,0.01669866,0.0001642451,0.0002992162,0.0000081276,0.00003000612,0.00002679029,0.0002335355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02231044,"threshold_uncertainty_score":0.8781539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01518648643243659,"score_gpt":0.286776956305165,"score_spread":0.2715904698727284,"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."}}