{"id":"W4390927154","doi":"10.1016/j.mcat.2024.113847","title":"Fabrication of NiTi-MMO supported on in-situ generated TiO2 for dioctyl phthalate hydrogenation: A strategy for improving the utilization efficiency of Ni","year":2024,"lang":"en","type":"article","venue":"Molecular Catalysis","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Catalysis; Nickel titanium; Nickel; Materials science; Metal; Chemical engineering; Yield (engineering); In situ; Metallurgy; Chemistry; Organic chemistry; Shape-memory alloy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002933802,0.0001606702,0.0002469921,0.000227225,0.00006170537,0.00005139131,0.0001948443,0.0001083032,0.00003976104],"category_scores_gemma":[0.0002040511,0.0001375299,0.0002150171,0.0006724775,0.00005371641,0.0001035335,0.00002370815,0.00005627239,0.000002697342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001076879,"about_ca_system_score_gemma":0.0001350918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008620919,"about_ca_topic_score_gemma":0.00001409383,"domain_scores_codex":[0.9986522,0.00001988146,0.0005684803,0.0003487703,0.0002243593,0.0001863057],"domain_scores_gemma":[0.9989069,0.0001026345,0.0002447499,0.0004401728,0.0002764193,0.00002915948],"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":[0.0000284926,0.0001145215,0.00002161146,0.000459812,0.0001298545,0.000002903681,0.0001372766,0.001025549,0.9934087,0.0007737417,0.00002902126,0.003868465],"study_design_scores_gemma":[0.0003548672,0.00004934132,0.00006677189,0.0000484819,0.0003121871,0.000005390157,0.00008195485,0.04056938,0.9580116,0.00028015,0.0001000658,0.0001198485],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9533246,0.0004122831,0.04444855,0.00007859382,0.0001048338,0.0005131105,0.0002047477,0.0000525529,0.0008607386],"genre_scores_gemma":[0.9967563,0.000006881073,0.0001631874,0.000007164331,0.00003576861,0.0002828732,0.002459686,0.00003801073,0.000250195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04428536,"threshold_uncertainty_score":0.5608307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02745016190948226,"score_gpt":0.2801255467383642,"score_spread":0.2526753848288819,"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."}}