{"id":"W2551167268","doi":"10.1101/070094","title":"Widespread Historical Contingency in Influenza Viruses","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Genomics; University of Ottawa","funders":"Compute Canada; University of Ottawa","keywords":"Epistasis; Genome; Biology; Computational biology; Genomics; Evolutionary biology; Range (aeronautics); Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006128642,0.0001370773,0.0002789377,0.0005746391,0.000483292,0.000444691,0.0003094964,0.0003313734,0.0007509649],"category_scores_gemma":[0.002003646,0.0002109229,0.0002405445,0.0005088627,0.0005307629,0.0004746834,0.0004214976,0.0004315297,0.00006513137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005732013,"about_ca_system_score_gemma":0.0002828877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003344674,"about_ca_topic_score_gemma":0.003688278,"domain_scores_codex":[0.9997887,0.00007446452,0.000009220586,0.0000727347,0.0000373645,0.0000174988],"domain_scores_gemma":[0.9992014,0.0003902592,0.0002132062,0.00007352247,0.00005933863,0.00006239182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004285376,0.000125577,0.4910288,0.0003325105,0.0006010538,0.001188263,0.000695753,0.2718466,0.1695729,0.02697468,0.001485899,0.03571938],"study_design_scores_gemma":[0.00002221669,0.000191058,0.3479989,0.00002645321,0.0001118158,0.0007604241,0.0004218994,0.6129957,0.01078874,0.02437081,0.002229305,0.00008249749],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883923,0.0001775121,0.01035769,0.00008800294,0.000004716285,0.000007143267,0.000113856,0.00005396437,0.0008049012],"genre_scores_gemma":[0.9983253,0.00003082911,0.001523976,0.00001501074,0.000002248531,0.000003700031,0.00005268696,0.000004907166,0.00004128244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003344674,"threshold_uncertainty_score":0.006650448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573432716471233,"score_gpt":0.2439988318025769,"score_spread":0.2282645046378646,"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."}}