{"id":"W777635729","doi":"","title":"Competitive interference between influenza viral strains","year":2011,"lang":"en","type":"article","venue":"NPARC","topic":"COVID-19 epidemiological studies","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Virology; Viral Interference; Interference (communication); Biology; Virus; Computer science; Viral replication; Telecommunications","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":[0.001058025,0.0007103115,0.0009020332,0.0006004585,0.0006709085,0.001350251,0.002295849,0.001767213,0.006587971],"category_scores_gemma":[0.003961743,0.0004330949,0.0007556137,0.0003759807,0.001375109,0.001496381,0.001036688,0.001064899,0.0006767642],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001400182,"about_ca_system_score_gemma":0.000714026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004669768,"about_ca_topic_score_gemma":0.004121903,"domain_scores_codex":[0.9992182,0.0002857245,0.00002612449,0.0001516297,0.0001543844,0.0001639264],"domain_scores_gemma":[0.9979937,0.001084789,0.0004381718,0.0001115652,0.0001582212,0.0002136181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002411535,0.0001990525,0.007869476,0.0002828764,0.0001900604,0.001143872,0.0004966242,0.5024635,0.02479225,0.4459538,0.002781016,0.01358628],"study_design_scores_gemma":[0.00005984094,0.0002280803,0.001618592,0.00001755829,0.00004836976,0.0002529007,0.00009850139,0.946514,0.0008314723,0.04783019,0.002463313,0.00003723671],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6224557,0.0008895596,0.3206463,0.00185553,0.0003423958,0.0002017214,0.0003978036,0.0001391278,0.05307178],"genre_scores_gemma":[0.9853796,0.0002096381,0.006176176,0.0001559323,0.00007863206,0.00008795076,0.00004379046,0.00001030213,0.007857959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006587971,"threshold_uncertainty_score":0.022039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4193440760427689,"score_gpt":0.4262256655811018,"score_spread":0.0068815895383329,"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."}}