{"id":"W2008188590","doi":"10.3166/acsm.32.179-195","title":"Metallic membranes for the separation of hydrogen at high temperatures","year":2007,"lang":"fr","type":"article","venue":"Annales de Chimie Science des Matériaux","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Separation (statistics); Membrane; Materials science; Hydrogen; Chemical engineering; Metal; Chemistry; Metallurgy; Computer science; Engineering; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003422763,0.0002833682,0.0002992766,0.0002664476,0.0006444047,0.0005074128,0.0004205153,0.000787356,0.002706413],"category_scores_gemma":[0.0002886174,0.0001727256,0.0003441525,0.0001769559,0.0002813052,0.0008671907,0.0003559758,0.0006101039,0.001191401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000462178,"about_ca_system_score_gemma":0.0003136063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003547474,"about_ca_topic_score_gemma":0.0008280977,"domain_scores_codex":[0.9997936,0.00002462965,0.000007895975,0.00004416719,0.0000917777,0.00003793789],"domain_scores_gemma":[0.9999267,0.00002566909,0.00001099187,0.000007954577,0.00001983631,0.00000895998],"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":[0.0000575488,0.00002594633,0.000107083,0.0004548161,0.00002160957,0.0001488021,0.0001150377,0.000235762,0.98241,0.002925541,0.0004038902,0.01309402],"study_design_scores_gemma":[0.00001597116,0.0001286613,0.0004334049,0.00002166215,0.00001581524,0.0004165749,0.00006368213,0.0007048011,0.9709728,0.0007143398,0.02650286,0.000009334561],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7422986,0.07365786,0.1397688,0.004435867,0.001634583,0.0002743374,0.0004614012,0.001205577,0.03626303],"genre_scores_gemma":[0.918882,0.01953199,0.03192161,0.0005831963,0.0001921162,0.00008642829,0.000236615,0.0001046678,0.02846141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002706413,"threshold_uncertainty_score":0.009053826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03331141262831655,"score_gpt":0.3001982110701808,"score_spread":0.2668867984418642,"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."}}