{"id":"W4402885179","doi":"10.1016/j.jmapro.2024.08.024","title":"Non-thermal inactivation effects of metal oxide nanoparticles–graphene composite films on foodborne pathogens to reduce proliferation","year":2024,"lang":"en","type":"article","venue":"Journal of Manufacturing Processes","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Materials science; Graphene; Composite number; Oxide; Nanoparticle; Metal; Thermal; Nanotechnology; Chemical engineering; Composite material; Metallurgy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004629838,0.0001468744,0.0002583508,0.00019325,0.0000848134,0.0001273584,0.0001952907,0.0000429898,0.00002345336],"category_scores_gemma":[0.0001639195,0.0001108324,0.00007762606,0.0002608697,0.00003281327,0.0003871036,0.00003058922,0.0001037798,0.00002702387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003799714,"about_ca_system_score_gemma":0.0001001523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004458649,"about_ca_topic_score_gemma":0.000001532297,"domain_scores_codex":[0.998685,0.0000541273,0.0004965914,0.0002019511,0.0003696121,0.0001926995],"domain_scores_gemma":[0.9990153,0.0002959301,0.0002709505,0.0001488273,0.0001656106,0.0001033979],"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":[0.0001697297,0.0001900378,0.00003678938,0.000553429,0.00002851451,0.00001061336,0.0004302283,0.004977184,0.9915874,0.00003202499,0.00007052939,0.001913537],"study_design_scores_gemma":[0.0001989651,0.0003452329,0.007188045,0.000645577,0.00007769577,0.00002285981,0.00004268305,0.00003404379,0.9909967,0.0001941053,0.0001370858,0.000116997],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979649,0.0002432253,0.0008596344,0.0004103038,0.0001788846,0.000276452,0.000007146962,0.00003356899,0.00002591537],"genre_scores_gemma":[0.9973579,0.00002070327,0.002369794,0.00005687122,0.0001169156,0.00003649553,9.850327e-7,0.00002054144,0.00001976899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007151255,"threshold_uncertainty_score":0.4519616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01249737658507331,"score_gpt":0.2525268127220798,"score_spread":0.2400294361370065,"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."}}