{"id":"W3214462378","doi":"","title":"Вплив параметрів процесу обробки яєчних омлетів високим тиском на їх мікробіологічну безпечність","year":2019,"lang":"uk","type":"article","venue":"","topic":"Magnetic and Electromagnetic Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009046597,0.0005527284,0.0004154708,0.001685254,0.0009228195,0.001940671,0.0004730625,0.0008937304,0.02341386],"category_scores_gemma":[0.001424461,0.0006152299,0.0004688822,0.00130695,0.0009282756,0.0009995402,0.0007812507,0.001175958,0.009336151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006552825,"about_ca_system_score_gemma":0.001684727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002244371,"about_ca_topic_score_gemma":0.004077244,"domain_scores_codex":[0.9990752,0.0001190308,0.00005935275,0.0001635485,0.0004791775,0.0001037366],"domain_scores_gemma":[0.9992136,0.0001561468,0.0001812858,0.0001254291,0.0002474464,0.00007617718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004224056,0.0002358848,0.005548006,0.001226616,0.00007002396,0.001778603,0.0009757648,0.003031371,0.3697652,0.05454083,0.006851245,0.5555541],"study_design_scores_gemma":[0.0001171132,0.0007270314,0.02505586,0.0004686888,0.0001915033,0.00388841,0.001602748,0.003724011,0.2369978,0.02508477,0.7018245,0.0003175361],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3076766,0.07274966,0.255805,0.005146184,0.002917888,0.0008426992,0.002310513,0.001534475,0.3510169],"genre_scores_gemma":[0.7109528,0.03218585,0.1772757,0.0003655169,0.0004923916,0.0007096636,0.0009267351,0.0003551895,0.07673618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02341386,"threshold_uncertainty_score":0.07832718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001373185667338315,"score_gpt":0.1895374997921968,"score_spread":0.1881643141248585,"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."}}