{"id":"W2014598562","doi":"10.1016/j.chemosphere.2010.10.023","title":"Synthesis of nanoparticles by microorganisms and their application in enhancing microbiological reaction rates","year":2010,"lang":"en","type":"review","venue":"Chemosphere","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":430,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Canada Research Chairs","keywords":"Microorganism; Nanotechnology; Nanoparticle; Yeast; Biochemical engineering; Bacteria; Scope (computer science); Materials science; Chemistry; Biology; Computer science; Engineering; Biochemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0003777957,0.0002461146,0.0008306977,0.00001515403,0.00006308599,0.00003725608,0.0002352581,0.0003066109,0.00007565891],"category_scores_gemma":[0.00009427476,0.0001727838,0.00008623907,0.0001977194,0.0001561816,0.00006315895,0.00006962548,0.0001565378,0.00006871403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004059973,"about_ca_system_score_gemma":0.00004846524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004324337,"about_ca_topic_score_gemma":0.00004186199,"domain_scores_codex":[0.9986405,0.00007982436,0.0005750189,0.0004436742,0.00005048859,0.0002105307],"domain_scores_gemma":[0.9988077,0.000394849,0.0003696188,0.0003435515,0.00003173088,0.00005253905],"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":[0.000001731314,0.00005597103,0.000003921843,0.0005159904,0.000002765613,6.407087e-8,0.00001694641,1.500776e-8,0.6800218,0.00002280347,0.00003625146,0.3193217],"study_design_scores_gemma":[0.00003505697,0.000006642907,0.000006767151,0.000773212,0.00004735155,0.000007433273,0.00005263365,0.000001464756,0.8562953,0.00007141358,0.1425476,0.0001550437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.3160437,0.6832911,0.0000450316,0.00003034775,0.00002660317,0.0004264873,0.00006729679,0.00003241086,0.00003704066],"genre_scores_gemma":[0.1409278,0.857353,0.001147429,0.00001104141,0.00003759743,0.000434177,0.00002589216,0.00003594263,0.00002718118],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.3191667,"threshold_uncertainty_score":0.7045919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462353343009512,"score_gpt":0.2622442135653852,"score_spread":0.2476206801352901,"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."}}