{"id":"W2900614684","doi":"10.5267/j.ccl.2018.11.001","title":"Magnetically recoverable CuFe2O4 nanoparticles as an efficient heterogeneous catalyst for green formylation of alcohols","year":2018,"lang":"en","type":"article","venue":"Current Chemistry Letters","topic":"Chemical Synthesis and Reactions","field":"Chemistry","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Urmia University","keywords":"Chemistry; Formylation; Catalysis; Nanoparticle; Heterogeneous catalysis; Organic chemistry; Chemical engineering","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":[0.0001399991,0.0003071088,0.0002024652,0.0002189565,0.0001432525,0.0001932537,0.0003075468,0.0002936958,0.0004397214],"category_scores_gemma":[0.0001515447,0.0001467061,0.0001740154,0.0001182381,0.0001547666,0.0003390617,0.000201237,0.0002499607,0.0002115317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002860288,"about_ca_system_score_gemma":0.0001332194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005742189,"about_ca_topic_score_gemma":0.001063964,"domain_scores_codex":[0.9998866,0.00001720082,0.000008337867,0.00002358467,0.00003942192,0.00002477769],"domain_scores_gemma":[0.9999527,0.000005618002,0.00001344266,0.000006323668,0.0000143418,0.000007585963],"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":[0.0000498229,0.00001764837,0.00008382239,0.00004489518,0.000005262841,0.00007559835,0.00001238055,0.0002198124,0.994741,0.00008953115,0.00005267834,0.004607597],"study_design_scores_gemma":[0.000003519909,0.00004176144,0.0002156307,0.000001199751,0.00000594449,0.00005305117,0.000007013906,0.0009927672,0.9978052,0.00001807132,0.000853377,0.000002455638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778489,0.002143044,0.01678532,0.000136103,0.00007394788,0.0000384388,0.00006634514,0.0001429813,0.002765047],"genre_scores_gemma":[0.9899776,0.0007016745,0.00641733,0.0000296683,0.00001760387,0.00001210115,0.0000719619,0.00002314859,0.002748879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005742189,"threshold_uncertainty_score":0.002075315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01950805657262561,"score_gpt":0.2705817068778179,"score_spread":0.2510736503051923,"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."}}