{"id":"W2625227542","doi":"10.1039/c7sc01990d","title":"Inside information on xenon adsorption in porous organic cages by NMR","year":2017,"lang":"en","type":"article","venue":"Chemical Science","topic":"Advanced NMR Techniques and Applications","field":"Chemistry","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"FP7 Ideas: European Research Council; Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Engineering and Physical Sciences Research Council; Academy of Finland; European Commission; Royal Society","keywords":"Xenon; Adsorption; Porosity; Porous medium; Materials science; Chemical physics; Chemical engineering; Chemistry; Physical chemistry; Organic chemistry; Engineering","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":[0.0001298038,0.0002776969,0.0001826426,0.0003888358,0.0002475131,0.0002210747,0.0002209238,0.0003123599,0.01825702],"category_scores_gemma":[0.0002067554,0.0001036892,0.0001679568,0.000293443,0.0001916565,0.0004036778,0.0002258785,0.0002561046,0.001348717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001586203,"about_ca_system_score_gemma":0.0001031523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000594936,"about_ca_topic_score_gemma":0.001094989,"domain_scores_codex":[0.9999129,0.000005945922,0.000004797439,0.00001719742,0.00003342204,0.00002585608],"domain_scores_gemma":[0.9998733,0.00007172419,0.0000142918,0.00001704528,0.0000141746,0.000009470539],"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":[0.0001745997,0.0000248896,0.0005071001,0.0002645234,0.00001401254,0.0001871645,0.00005214351,0.0004078392,0.9866963,0.0009058695,0.001865374,0.008900321],"study_design_scores_gemma":[0.000005609304,0.00009126303,0.004713793,0.00001781,0.00001518074,0.0002013621,0.00004794542,0.001240808,0.9854233,0.0003179195,0.007908404,0.00001660027],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9388378,0.005491578,0.0182631,0.0005002249,0.0002036535,0.00002521657,0.006813054,0.0005791487,0.02928619],"genre_scores_gemma":[0.9735366,0.003054447,0.004266543,0.0001442529,0.00006436437,0.00001829493,0.003762417,0.0001039882,0.01504898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01825702,"threshold_uncertainty_score":0.06107581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063195641185299,"score_gpt":0.2814608283975985,"score_spread":0.2708288719857455,"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."}}