{"id":"W2308514777","doi":"10.1002/ejic.201501242","title":"Multiple Modes of Motion: Realizing the Dynamics of CO Adsorbed in M‐MOF‐74 (M = Mg, Zn) by Using Solid‐State NMR Spectroscopy","year":2016,"lang":"en","type":"article","venue":"European Journal of Inorganic Chemistry","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Chemistry; Adsorption; Metal-organic framework; Molecule; Chemical physics; Spectroscopy; Metal; Solid-state nuclear magnetic resonance; Molecular dynamics; Porous medium; Solid-state; Porosity; Transition metal; Physical chemistry; Crystallography; Analytical Chemistry (journal); Computational chemistry; Nuclear magnetic resonance; Organic chemistry; Catalysis","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":[0.00006815048,0.0001706258,0.0001173971,0.0001109339,0.0002439612,0.0002214478,0.0002534,0.0002136212,0.0006984497],"category_scores_gemma":[0.000134405,0.0001168479,0.00009701341,0.00008233495,0.0003647637,0.0002402057,0.0001778954,0.0002056781,0.00007736557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004716799,"about_ca_system_score_gemma":0.0002221894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004305831,"about_ca_topic_score_gemma":0.004837428,"domain_scores_codex":[0.9999679,0.000003168561,0.000001016284,0.000007181849,0.000008892373,0.0000117224],"domain_scores_gemma":[0.9999597,0.00001148782,0.00001224862,0.00000424814,0.00000518576,0.000007027851],"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":[0.0001923336,0.00005021799,0.001175416,0.00007322984,0.00001316964,0.0001172415,0.00007252642,0.006854197,0.9852049,0.001261401,0.0001543656,0.004830933],"study_design_scores_gemma":[0.00003088078,0.0001234163,0.003561789,0.0000071416,0.00001411182,0.00005442619,0.00006676524,0.08818824,0.9059246,0.0002365327,0.001763882,0.00002823082],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973429,0.00006155987,0.001980368,0.0000341371,0.000004959751,0.000005116511,0.00002918968,0.00004163959,0.0005001347],"genre_scores_gemma":[0.9975669,0.0000480782,0.002169538,0.000005483421,0.000002088659,0.000005502625,0.00001947684,0.000005118153,0.0001776892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004305831,"threshold_uncertainty_score":0.008561552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497611168352618,"score_gpt":0.2453925046631517,"score_spread":0.2304163929796255,"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."}}