{"id":"W4221002911","doi":"10.1007/s13738-022-02534-7","title":"DABCO-based ionic liquid-modified magnetic nanoparticles supported gold as an efficient catalyst for A3 coupling reaction in water","year":2022,"lang":"en","type":"article","venue":"Journal of the Iranian Chemical Society","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Iran National Science Foundation","keywords":"Catalysis; DABCO; Ionic liquid; X-ray photoelectron spectroscopy; Chemical engineering; Coupling reaction; Materials science; Magnetic nanoparticles; Nanoparticle; Colloidal gold; Ionic bonding; Heterogeneous catalysis; Nuclear chemistry; Inorganic chemistry; Chemistry; Organic chemistry; Nanotechnology; Ion","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":[0.0007799134,0.0001820289,0.0003109068,0.00003384973,0.0002286858,0.0000521244,0.0005112147,0.0001212345,0.0002314725],"category_scores_gemma":[0.00008493047,0.0001289322,0.0005189406,0.0001720383,0.00008817561,0.00009645827,0.0001168963,0.0004570025,0.000003746744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008559551,"about_ca_system_score_gemma":0.0001862376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005422144,"about_ca_topic_score_gemma":0.000003209423,"domain_scores_codex":[0.9981025,0.00002566011,0.0007454984,0.000241289,0.0004951098,0.0003899257],"domain_scores_gemma":[0.9989158,0.0001133679,0.0003658762,0.0003749519,0.00009695917,0.0001330308],"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":[0.0005332974,0.0004410838,0.00004066042,0.0000646859,0.00003958041,0.000007050071,0.000500382,0.00582689,0.992292,0.000007057185,0.000203312,0.00004394703],"study_design_scores_gemma":[0.002366887,0.000129416,0.00003578148,0.00003708071,0.0001384751,0.000167647,0.00058549,0.01193576,0.9833611,0.0001120421,0.0009584521,0.0001718249],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982721,0.00004379696,0.00001242001,0.001059012,0.0003324682,0.0001714217,0.00003961965,0.00002847815,0.0000407017],"genre_scores_gemma":[0.9992581,0.0000023823,0.0001392741,0.0001355072,0.0002014398,0.00003921259,0.00005928085,0.00003891854,0.0001258974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008930912,"threshold_uncertainty_score":0.5257704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01416426554009513,"score_gpt":0.2488523354555988,"score_spread":0.2346880699155037,"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."}}