{"id":"W4386939455","doi":"10.1039/d3ra05439j","title":"A post-sulfonated one-pot synthesized magnetic cellulose nanocomposite for Knoevenagel and Thorpe–Ziegler reactions","year":2023,"lang":"en","type":"article","venue":"RSC Advances","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"Assiut University; Zhejiang University","keywords":"Nanocomposite; Knoevenagel condensation; Cellulose; Polymer chemistry; Chemistry; Polymer science; Chemical engineering; Materials science; Organic chemistry; Nuclear chemistry; Composite material; Catalysis; Engineering","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":[0.0001626254,0.0004563031,0.0002328573,0.0002929988,0.0002007485,0.0001925054,0.0002470173,0.0003749597,0.001404297],"category_scores_gemma":[0.0002097557,0.0001603439,0.0002360507,0.0002265909,0.0001446357,0.0002766407,0.0001688512,0.000439516,0.0005564847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003965616,"about_ca_system_score_gemma":0.0003602428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001011606,"about_ca_topic_score_gemma":0.003872368,"domain_scores_codex":[0.9998652,0.000007144864,0.00001049789,0.00004071959,0.00004439185,0.00003209431],"domain_scores_gemma":[0.9999269,0.000009685039,0.0000216637,0.000009699217,0.00001537433,0.00001665966],"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":[0.0000264134,0.00001474169,0.00005852814,0.00007536277,0.000004507674,0.00008981871,0.00001581954,0.0001147748,0.9955576,0.0002652517,0.00009181253,0.003685395],"study_design_scores_gemma":[0.000003199273,0.00004562232,0.0003927216,0.000004227013,0.000007873968,0.0001148476,0.000007175739,0.0008541416,0.9953521,0.00003025718,0.003182398,0.000005442302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9128777,0.002995662,0.06346019,0.0001719712,0.0002445922,0.0001992207,0.0005790027,0.0009521061,0.0185195],"genre_scores_gemma":[0.9636457,0.001082942,0.02804297,0.00006114617,0.00002285288,0.00009902313,0.0003783595,0.00008914899,0.0065779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001404297,"threshold_uncertainty_score":0.0046978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01473956648180336,"score_gpt":0.2580934909359465,"score_spread":0.2433539244541432,"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."}}