{"id":"W1967386688","doi":"10.1021/ma048742q","title":"Probing Fickian and Non-Fickian Diffusion of CO<sub>2</sub> in Poly(methyl methacrylate) Using in Situ Raman Spectroscopy and Microfocus X-ray Computed Tomography","year":2004,"lang":"en","type":"article","venue":"Macromolecules","topic":"Phase Equilibria and Thermodynamics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fick's laws of diffusion; Raman spectroscopy; Analytical Chemistry (journal); Library science; Diffusion; Physics; Nanotechnology; Materials science; Computer science; Chemistry; Optics; Thermodynamics; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001784145,0.000285312,0.0004172216,0.0005227636,0.00004518547,0.00005155972,0.0001222873,0.0001435468,0.000001006608],"category_scores_gemma":[0.00000720409,0.000311877,0.00005787769,0.0005119079,0.0001164085,0.0001264309,0.00007695601,0.00025201,5.783503e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008750807,"about_ca_system_score_gemma":0.00002243222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001706381,"about_ca_topic_score_gemma":0.0003299105,"domain_scores_codex":[0.9987123,0.00005134523,0.0003768452,0.0003246503,0.0001233469,0.0004115351],"domain_scores_gemma":[0.9995858,0.00003754945,0.00006532662,0.0001969419,0.00001479788,0.00009956531],"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":[0.00003193824,0.00007835923,0.003124336,0.0001428444,0.00003131923,0.00009604351,0.001484284,0.005045548,0.9884079,0.00005450975,3.483894e-7,0.001502642],"study_design_scores_gemma":[0.00188336,0.00006854871,0.01683498,0.0003692362,0.00001893061,0.00002128111,0.0001189331,0.04938205,0.9302228,0.0007444828,0.000001639438,0.0003337299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877815,0.001356352,0.0102314,0.00002032789,0.00007810981,0.0003193634,0.00001684017,0.00007222182,0.0001239392],"genre_scores_gemma":[0.9939358,0.0001061601,0.005849754,0.00001410421,0.00001841152,0.000005076944,0.0000149863,0.00005544792,3.179533e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05818499,"threshold_uncertainty_score":0.9999333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005459584029938458,"score_gpt":0.2138079170205609,"score_spread":0.2083483329906224,"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."}}