{"id":"W2012630683","doi":"10.1002/mrc.1106","title":"Determining the molecular weight, aggregation, structures and interactions of natural organic matter using diffusion ordered spectroscopy","year":2002,"lang":"en","type":"article","venue":"Magnetic Resonance in Chemistry","topic":"NMR spectroscopy and applications","field":"Physics and Astronomy","cited_by":210,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Chemistry; Diffusion; Molecule; Macromolecule; Molecular mass; Molecular diffusion; Organic matter; Spectroscopy; Polysaccharide; Molecular dynamics; Nuclear magnetic resonance spectroscopy; Humic acid; Organic chemistry; Analytical Chemistry (journal); Chemical physics; Computational chemistry; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001537834,0.0001792493,0.00008610084,0.0003625897,0.0001305473,0.0002474003,0.00007965713,0.0001341409,0.0004202815],"category_scores_gemma":[0.0002418534,0.00008273619,0.00008255619,0.0001863618,0.0001565695,0.0002193806,0.000115682,0.0002139426,0.0000976312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001604122,"about_ca_system_score_gemma":0.00008668693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007156773,"about_ca_topic_score_gemma":0.001129587,"domain_scores_codex":[0.9999337,0.000009447891,0.000004490302,0.00001799654,0.00002249978,0.00001173447],"domain_scores_gemma":[0.9998348,0.0000377224,0.00005316882,0.000007184892,0.00004322339,0.00002380788],"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":[0.00001447831,0.000005540662,0.001249174,0.00001375678,0.000003228999,0.00001170225,0.00001449676,0.00005990802,0.9975587,0.00003993951,0.000008292602,0.001020732],"study_design_scores_gemma":[0.000003110493,0.00009894552,0.02731095,0.000006580205,0.00001269694,0.0000628043,0.00009492232,0.003911828,0.9671664,0.0001303978,0.001192834,0.000008598245],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889558,0.0006311356,0.009474749,0.00002139093,0.000007215862,0.00002052207,0.0002298373,0.00003184067,0.0006275609],"genre_scores_gemma":[0.9907234,0.0004294429,0.007763827,0.00002337218,0.000004770461,0.00002008791,0.000191418,0.000009562478,0.0008342118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007156773,"threshold_uncertainty_score":0.001423001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005768487450511853,"score_gpt":0.2648988574400322,"score_spread":0.2591303699895204,"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."}}