{"id":"W4402477148","doi":"10.11159/icceia24.141","title":"Model-Based Analysis of Effective Inactivation of Aspergillus Brasiliensis by Non-thermal Atmospheric Plasma","year":2024,"lang":"en","type":"article","venue":"Proceedings of the World Congress on New Technologies","topic":"Microbial Inactivation Methods","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Grantová Agentura České Republiky","keywords":"Plasma; Thermal; Nonthermal plasma; Aspergillus; Chemistry; Computer science; Biological system; Microbiology; Thermodynamics; Physics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001830402,0.0001809477,0.000349593,0.00018287,0.00003472313,0.00001596955,0.0004636108,0.0001814397,0.000004487599],"category_scores_gemma":[0.0003706038,0.0001372727,0.0002243619,0.001728075,0.0002856456,0.00001426103,0.0001626324,0.0001577775,2.496673e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004442292,"about_ca_system_score_gemma":0.00005482526,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000248719,"about_ca_topic_score_gemma":0.00001294442,"domain_scores_codex":[0.9990572,0.00001199462,0.0003036429,0.0003328748,0.000151984,0.0001423257],"domain_scores_gemma":[0.9991085,0.00008061985,0.0003539966,0.0002410684,0.0002007487,0.00001507118],"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":[0.0001612829,0.00005263596,0.00140223,0.0001036257,0.0005226884,6.109118e-8,0.00002322321,0.003998022,0.9716835,0.0005934158,0.002398907,0.01906041],"study_design_scores_gemma":[0.000213893,0.0001600087,0.0004579784,0.0001370468,0.0002481377,2.51776e-7,0.00008774968,0.02776559,0.970133,0.0001719307,0.000501713,0.0001226875],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968514,0.0001810006,0.001432567,0.0004289517,0.00009923939,0.0003109023,0.00002654754,0.00007009313,0.0005992867],"genre_scores_gemma":[0.9907346,0.00002254618,0.008176751,0.00002371048,0.00000913343,0.00002676219,0.00000671832,0.00002023387,0.0009795657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02376757,"threshold_uncertainty_score":0.559782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007773625543094504,"score_gpt":0.2642259911948778,"score_spread":0.2564523656517833,"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."}}