{"id":"W2394874851","doi":"10.1039/c6cp01950a","title":"Structural analysis of IPC zeolites and related materials using positron annihilation spectroscopy and high-resolution argon adsorption","year":2016,"lang":"en","type":"article","venue":"Physical Chemistry Chemical Physics","topic":"Muon and positron interactions and applications","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"","keywords":"Argon; Adsorption; Positron annihilation; Positron annihilation spectroscopy; Spectroscopy; High resolution; Positron; Resolution (logic); Chemistry; Materials science; Analytical Chemistry (journal); Physical chemistry; Nuclear physics; Physics; Organic chemistry","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":[0.0001128298,0.0001541969,0.0001307836,0.0003857042,0.0001282611,0.0001887611,0.0001900473,0.0001920311,0.0004904388],"category_scores_gemma":[0.0002180844,0.0001072634,0.0001693263,0.0002105708,0.0002120442,0.0002515854,0.0001060347,0.0002508108,0.0000721735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001790915,"about_ca_system_score_gemma":0.00009244661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008650908,"about_ca_topic_score_gemma":0.0009876813,"domain_scores_codex":[0.9999374,0.000007319448,0.000003802679,0.00001444348,0.00002627637,0.00001082821],"domain_scores_gemma":[0.9999051,0.00003176507,0.00002301508,0.00001232025,0.00001937188,0.000008354132],"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":[0.00004836296,0.00001075398,0.0008650502,0.00004616759,0.000006098991,0.00003475298,0.00002521595,0.0005319645,0.9965138,0.0002020872,0.00001082457,0.001705099],"study_design_scores_gemma":[0.000005988743,0.00009723142,0.01480701,0.000003682373,0.00001242977,0.0001266659,0.0000609188,0.006578417,0.9775173,0.0001313162,0.0006499821,0.000008931579],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940705,0.0001929336,0.004920749,0.0000103754,0.00000179284,0.00001063783,0.0002767932,0.00003956039,0.0004767307],"genre_scores_gemma":[0.9956933,0.0001611882,0.003657784,0.000004482531,0.000001409388,0.000009611621,0.0002633486,0.000009700059,0.0001992892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008650908,"threshold_uncertainty_score":0.00172013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007179368596994926,"score_gpt":0.2371028123035133,"score_spread":0.2299234437065183,"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."}}