{"id":"W4253966941","doi":"10.26434/chemrxiv.11865498.v2","title":"Influence of Pore Size on Carbon Dioxide Diffusion in Two Isoreticular Metal–Organic Frameworks","year":2020,"lang":"en","type":"preprint","venue":"ChemRxiv","topic":"Metal-Organic Frameworks: Synthesis and Applications","field":"Chemistry","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Basic Energy Sciences; Office of Science; Argonne National Laboratory; Philomathia Foundation; U.S. Department of Energy","keywords":"Pulsed field gradient; Diffusion; Porosity; Metal-organic framework; Carbon dioxide; Anisotropy; Chemistry; Chemical physics; Chemical engineering; Porous medium; Analytical Chemistry (journal); Self-diffusion; Gaseous diffusion; Molecule; Nanotechnology; Materials science; Thermodynamics; Physical chemistry; Organic chemistry; Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.000251115,0.0006354285,0.001131624,0.00008593979,0.0000483411,0.00003820156,0.001112468,0.001401291,0.001110045],"category_scores_gemma":[0.0019727,0.0006221012,0.0003713436,0.0004441758,0.0001945176,0.00003255006,0.0009205691,0.003595407,0.00003238406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001652298,"about_ca_system_score_gemma":0.0001491921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001115458,"about_ca_topic_score_gemma":0.00001133459,"domain_scores_codex":[0.9967415,0.00005618241,0.001006296,0.001179147,0.0005896667,0.0004272274],"domain_scores_gemma":[0.9963712,0.0006312865,0.0006877609,0.001980688,0.0001133919,0.000215719],"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":[0.00003292133,0.0003369846,0.001690398,0.0006660536,0.0001293748,0.00002682192,0.0003208005,0.001237442,0.9936134,0.001461602,0.0000342272,0.0004499773],"study_design_scores_gemma":[0.0004036503,0.00001333535,0.002593158,0.00179701,0.000203283,0.000003561615,0.00009359829,0.001193422,0.9803434,0.01234405,0.0003621403,0.000649394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928246,0.0006592022,0.0001501066,0.001386196,0.00007313007,0.0003093148,0.00001543482,0.0001337213,0.004448308],"genre_scores_gemma":[0.9974636,0.0004055255,0.001046712,0.000334872,0.0002301386,0.0001788457,0.00006784269,0.0001273598,0.0001451339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01327,"threshold_uncertainty_score":0.9998951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104581071033047,"score_gpt":0.2479693960309166,"score_spread":0.2369235853205862,"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."}}