{"id":"W2543855063","doi":"10.1093/nar/gkw1030","title":"IMG/VR: a database of cultured and uncultured DNA Viruses and retroviruses","year":2016,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":211,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Genome British Columbia; University of British Columbia","funders":"Office of Science; Joint Genome Institute; U.S. Department of Energy","keywords":"Metagenomics; Biology; Contig; Genome; Computational biology; Genomics; Database; Metadata; DNA sequencing; Phylum; Genetics; Gene; Computer science; World Wide Web","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":[0.001437174,0.002099311,0.002299884,0.008291583,0.001147726,0.00303074,0.003771719,0.002719758,0.007287087],"category_scores_gemma":[0.005059187,0.001226048,0.001435199,0.01002971,0.000627633,0.00244934,0.002919236,0.001713755,0.00803919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045059,"about_ca_system_score_gemma":0.002089947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004925692,"about_ca_topic_score_gemma":0.00716995,"domain_scores_codex":[0.9988747,0.0001497879,0.0001835103,0.0003242371,0.0003256692,0.0001420848],"domain_scores_gemma":[0.998529,0.0003924048,0.0003356682,0.0003586446,0.0001538487,0.0002305351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005176629,0.0008775161,0.05245684,0.01715896,0.001515645,0.004289823,0.002726618,0.02775506,0.1647108,0.02389752,0.4811096,0.2183249],"study_design_scores_gemma":[0.0007084408,0.0003490986,0.03581956,0.00119335,0.0005841993,0.002001932,0.0007107374,0.01759523,0.02719181,0.01185913,0.9016425,0.0003440518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04643953,0.008030878,0.01566008,0.0002705384,0.0001360989,0.0002143309,0.8885598,0.03116822,0.009520475],"genre_scores_gemma":[0.02782308,0.002152698,0.02893147,0.0001668404,0.00003446385,0.0002434749,0.9382769,0.001615056,0.0007558794],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008291583,"threshold_uncertainty_score":0.0243777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04826520707238956,"score_gpt":0.3365783181819619,"score_spread":0.2883131111095724,"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."}}