{"id":"W3197137013","doi":"","title":"ldquo Hit and Run rdquo in Metagenomic Era High Hopes","year":2017,"lang":"en","type":"article","venue":"Journal of Human Virology & Retrovirology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Jewish General Hospital","funders":"","keywords":"Metagenomics; Computational biology; Biology; Computer science; Genetics","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":[0.006661329,0.001059432,0.001202994,0.001331939,0.001719972,0.003245385,0.001391834,0.001083747,0.007097004],"category_scores_gemma":[0.0108385,0.0009368396,0.001672044,0.001161053,0.0007728961,0.003473464,0.004256339,0.002839161,0.002872941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009929097,"about_ca_system_score_gemma":0.002116242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00210124,"about_ca_topic_score_gemma":0.003943001,"domain_scores_codex":[0.9980275,0.0006587465,0.0001138883,0.0005229214,0.000386108,0.0002909042],"domain_scores_gemma":[0.9966391,0.001110337,0.000108104,0.001218352,0.0004908423,0.0004332387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.009212032,0.001229643,0.1518933,0.004194883,0.00264853,0.002177458,0.005792213,0.02723826,0.1816535,0.05606734,0.1491672,0.4087257],"study_design_scores_gemma":[0.001402377,0.001506658,0.0365137,0.0007346147,0.001478907,0.001265767,0.004330362,0.2460192,0.114325,0.1194941,0.4722617,0.0006674742],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.5160761,0.005119246,0.2465001,0.009015765,0.003558466,0.001020795,0.04847663,0.1326296,0.03760326],"genre_scores_gemma":[0.5454581,0.001196826,0.3599964,0.003297031,0.0003455794,0.001026696,0.06468426,0.01556506,0.008430038],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.007097004,"threshold_uncertainty_score":0.03522891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474181692635887,"score_gpt":0.2919757977050302,"score_spread":0.2772339807786713,"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."}}