{"id":"W2904209089","doi":"10.4049/jimmunol.196.supp.145.17","title":"A computationally designed hemagglutinin stem-binding protein provides <i>in vivo</i> protection from influenza in the ferret model.","year":2016,"lang":"en","type":"article","venue":"The Journal of Immunology","topic":"Influenza Virus Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École Nationale d'Administration Publique","funders":"","keywords":"Hemagglutinin (influenza); In vivo; Virology; Nasal administration; Antibody; Immunology; Biology; Disease; Medicine; Internal medicine; Biotechnology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001314507,0.0003693932,0.0001794592,0.0001459352,0.0001095062,0.0001359913,0.0002667112,0.0003439471,0.000994683],"category_scores_gemma":[0.00007826612,0.00007593742,0.0002590194,0.00005502401,0.0001720819,0.0001475402,0.00008265567,0.0003934694,0.0002117682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003125068,"about_ca_system_score_gemma":0.0001176531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001054678,"about_ca_topic_score_gemma":0.0009171741,"domain_scores_codex":[0.9999555,0.000006776339,0.000002504875,0.00001240326,0.000008933932,0.0000138857],"domain_scores_gemma":[0.9999567,0.000008086314,0.00001323549,0.000003206003,0.000005511527,0.00001323928],"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":[0.0003352154,0.00009332041,0.0001499137,0.00003262756,0.000007569835,0.00002979342,0.000005578757,0.0004031855,0.9981961,0.00005024417,0.0000821699,0.0006143505],"study_design_scores_gemma":[0.00003715312,0.002200209,0.001512539,0.00000605901,0.00001766517,0.0001184362,0.00001269488,0.002883655,0.9921381,0.000029988,0.001039361,0.000004166187],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972007,0.0004093578,0.001535202,0.0000728838,0.00002992926,0.0000195693,0.0001851697,0.00004719178,0.0005000126],"genre_scores_gemma":[0.9957772,0.000331261,0.001817395,0.00004940745,0.000007206969,0.00002111894,0.0004977692,0.00001404348,0.001484539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001054678,"threshold_uncertainty_score":0.003327549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09364732561047415,"score_gpt":0.3388069432839257,"score_spread":0.2451596176734516,"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."}}