{"id":"W2765518286","doi":"10.1016/j.carbpol.2017.10.094","title":"Gold nanoparticles stabilized by poly(4-vinylpyridine) grafted cellulose nanocrystals as efficient and recyclable catalysts","year":2017,"lang":"en","type":"article","venue":"Carbohydrate Polymers","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":91,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Catalysis; Atom-transfer radical-polymerization; Nanomaterial-based catalyst; Cellulose; Nanocrystal; Nanoparticle; Chemical engineering; Polymerization; Polymer chemistry; Chemistry; Materials science; Nuclear chemistry; Nanotechnology; Polymer; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002450764,0.0004781833,0.00056285,0.0001103638,0.0005666416,0.0005202558,0.0006061611,0.0002381277,0.0005563427],"category_scores_gemma":[0.0002780575,0.0004672593,0.0001609535,0.0001420013,0.0005551176,0.0003072708,0.0003127464,0.0001753554,0.0001403011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001889155,"about_ca_system_score_gemma":0.0001514769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004072518,"about_ca_topic_score_gemma":0.00004355781,"domain_scores_codex":[0.997367,0.00004098115,0.0005921657,0.0008020535,0.0003840056,0.0008138326],"domain_scores_gemma":[0.9972141,0.0001033842,0.0004913959,0.001613401,0.00007734633,0.0005004237],"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":[0.0001085212,0.0001240077,0.000291521,0.00008556651,0.0001133667,0.00003964855,0.0002480394,0.000002128221,0.9967444,0.00007935786,0.001304011,0.0008594558],"study_design_scores_gemma":[0.001354895,0.00003113384,0.00005286976,0.00006687922,0.0001697316,0.00003145761,0.0002699152,0.0002779297,0.9903765,0.00006334452,0.006772549,0.0005328043],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9817934,0.002908661,0.000002002586,0.0004813433,0.0005364252,0.0002251484,0.0002958499,0.0002306695,0.01352652],"genre_scores_gemma":[0.98777,0.0001064573,0.00003007898,0.0000496807,0.00009613593,0.00008617908,0.0001635573,0.00009752477,0.01160041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006367886,"threshold_uncertainty_score":0.9997779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100471589870689,"score_gpt":0.2384463162854982,"score_spread":0.2274416003867913,"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."}}