{"id":"W4360945127","doi":"10.1111/1751-7915.14254","title":"Opportunities and obstacles in microbial synthesis of metal nanoparticles","year":2023,"lang":"en","type":"editorial","venue":"Microbial Biotechnology","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Ministerio de Ciencia e Innovación","keywords":"Bioprocess; Nanotechnology; Nanomaterials; Biochemical engineering; Cosmetics; Materials science; Chemistry; Engineering; Chemical engineering; 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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006172081,0.000337302,0.00084621,0.0004734478,0.0001046924,0.00005986387,0.000612968,0.001302832,0.00008645854],"category_scores_gemma":[0.001116773,0.0003304842,0.0001015908,0.0003632744,0.001027399,0.00008358173,0.0004412728,0.0003427027,0.0001299233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006627485,"about_ca_system_score_gemma":0.0001950049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005559565,"about_ca_topic_score_gemma":0.0006708278,"domain_scores_codex":[0.9976775,0.0001303203,0.0007805398,0.0006619883,0.000202501,0.0005471621],"domain_scores_gemma":[0.9978046,0.001161147,0.0003539693,0.0005339479,0.00008480092,0.00006155543],"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":[0.00003137283,0.00008765062,0.000002780496,0.0001038752,0.00001762257,0.00001438452,0.00004715305,8.782026e-7,0.8421673,0.0006197009,0.1540855,0.002821769],"study_design_scores_gemma":[0.0001789526,0.00003972309,0.000007972489,0.0001513062,0.00006401761,0.000003355841,0.0001598602,0.000001880411,0.7800351,0.0001561024,0.2189565,0.0002452213],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8479261,0.0005180129,0.000004659151,0.001582668,0.1477706,0.0003006017,0.00160641,0.0002704326,0.00002048624],"genre_scores_gemma":[0.8574382,0.008866823,0.004486241,0.00006583119,0.1270208,0.0006492434,0.0002443594,0.0003974068,0.0008311184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06487097,"threshold_uncertainty_score":0.9999937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02183489099395957,"score_gpt":0.2432943087862501,"score_spread":0.2214594177922905,"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."}}