{"id":"W3097210817","doi":"10.1016/j.seppur.2020.117945","title":"Design of hydrogen separatinwg Nb-Ti-Fe membranes with high permeability and low cost","year":2020,"lang":"en","type":"article","venue":"Separation and Purification Technology","topic":"Catalysts for Methane Reforming","field":"Chemical Engineering","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Materials science; Alloy; CALPHAD; Eutectic system; Hydrogen; Liquidus; Microstructure; Permeation; Hydrogen embrittlement; Phase diagram; Chemical engineering; Ternary operation; Metallurgy; Permeability (electromagnetism); Phase (matter); Membrane; Thermodynamics; Corrosion; 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":[0.000191385,0.0002971162,0.0003449977,0.0001429163,0.0003154679,0.0003896356,0.0004328959,0.000594321,0.0004122751],"category_scores_gemma":[0.0001418186,0.000249417,0.0002769983,0.0001661177,0.0001564044,0.0003791252,0.0001778511,0.0002799664,0.0003204091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000697221,"about_ca_system_score_gemma":0.000433138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008613434,"about_ca_topic_score_gemma":0.001236026,"domain_scores_codex":[0.999934,0.000005930021,0.000004034382,0.00001901429,0.00002228506,0.00001480535],"domain_scores_gemma":[0.9999437,0.000006256827,0.00001954104,0.000004953983,0.00001672309,0.000008855178],"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":[0.00004978172,0.00003013373,0.0001233344,0.0001143741,0.00001182425,0.0000322792,0.00001484946,0.00185939,0.9937018,0.0009511987,0.00013474,0.00297633],"study_design_scores_gemma":[0.00002688524,0.000142583,0.0006842731,0.00000744503,0.00001747403,0.00007264972,0.00001985682,0.02079022,0.9721034,0.0001783015,0.005946237,0.00001071733],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8827536,0.001882576,0.1072313,0.000428257,0.0001091383,0.0001767544,0.0004581217,0.0004136463,0.006546474],"genre_scores_gemma":[0.9116905,0.0009301067,0.08226722,0.00006347978,0.00001537121,0.000258305,0.0003791885,0.00005352323,0.004342425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008613434,"threshold_uncertainty_score":0.005058765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01727003795814846,"score_gpt":0.2499005940242714,"score_spread":0.232630556066123,"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."}}