{"id":"W6940673799","doi":"10.11575/prism/41822","title":"Application of Scientific Machine Learning Methods in Epidemical Modeling: Undetected COVID-19 Population Ratio Prediction","year":2023,"lang":"en","type":"other","venue":"Open MIND","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Population; Parametric statistics; Deep learning; Parametric model; Sample (material); Focus (optics); Mathematical model","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":[0.002889368,0.0008020782,0.0008261679,0.00102748,0.0003961692,0.001683441,0.001447352,0.001419359,0.001337519],"category_scores_gemma":[0.007709445,0.0005277135,0.0009056394,0.001241945,0.000930465,0.001677206,0.001148923,0.002482062,0.0004293494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125914,"about_ca_system_score_gemma":0.0012964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004615286,"about_ca_topic_score_gemma":0.004060055,"domain_scores_codex":[0.9993306,0.0002876163,0.00004265823,0.0001238449,0.0001784376,0.00003680134],"domain_scores_gemma":[0.995922,0.002861158,0.0004235397,0.0003240612,0.0004013494,0.0000678678],"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":[0.00002901,0.00006867548,0.004429739,0.0001691375,0.0001096619,0.00007384637,0.00009723534,0.8362125,0.001128962,0.0697808,0.002512978,0.0853875],"study_design_scores_gemma":[0.000001749798,0.000005870446,0.0001845286,0.00001142908,0.000003546294,0.000006901433,0.000006425951,0.9786888,0.0002518897,0.02013446,0.0006989505,0.00000549429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01620428,0.001575212,0.9773297,0.001688285,0.0001320879,0.00002803227,0.000184413,0.0003426765,0.002515279],"genre_scores_gemma":[0.5104256,0.005025862,0.4749577,0.0007119937,0.0005286885,0.0002684115,0.0006414788,0.0001934225,0.007246786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004615286,"threshold_uncertainty_score":0.0152806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09002724319550652,"score_gpt":0.3714701134075983,"score_spread":0.2814428702120918,"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."}}