{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001989034,0.0004119335,0.0004360558,0.0002352183,0.000260973,0.0005864805,0.0005309863,0.0005903282,0.001144025],"category_scores_gemma":[0.0005720289,0.000165172,0.0004677488,0.0001210622,0.0003444441,0.0002642547,0.0002059151,0.0003032569,0.0001212604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006066921,"about_ca_system_score_gemma":0.0005424974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0140071,"about_ca_topic_score_gemma":0.005641898,"domain_scores_codex":[0.9999238,0.00001552876,0.000002309906,0.00001329928,0.00002413901,0.00002082612],"domain_scores_gemma":[0.9996901,0.0002051115,0.00002698394,0.0000127644,0.00005056451,0.00001463029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000614379,0.00004435427,0.0007288681,0.0000289881,0.00001457704,0.00004267607,0.00001076991,0.988964,0.007734776,0.0009777604,0.0001289065,0.001262937],"study_design_scores_gemma":[0.000003401022,0.00001626129,0.0002430105,4.520107e-7,0.000002602385,0.000003185184,0.000002438879,0.9988239,0.0007691022,0.0001073485,0.00002694645,0.000001299924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9342559,0.0003774876,0.05556845,0.0001484504,0.00003359303,0.00003611693,0.0001723439,0.0003414772,0.009066083],"genre_scores_gemma":[0.9982939,0.00004518833,0.001004646,0.000005295846,0.000002413408,0.000008712352,0.00003275745,0.00001328958,0.0005938354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0140071,"threshold_uncertainty_score":0.0278511,"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."}}