{"id":"W4378515792","doi":"10.3390/v15051116","title":"Functional Profiling and Evolutionary Analysis of a Marine Microalgal Virus Pangenome","year":2023,"lang":"en","type":"article","venue":"Viruses","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"University of Waterloo; University of Toronto; Natural Sciences and Engineering Research Council of Canada; Government of Canada; Phycological Society of America","keywords":"Biology; Gene; Transcriptome; Computational biology; Genome; Host (biology); Genetics; Function (biology); Clade; Evolutionary biology; Gene expression; Phylogenetics","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":[0.0003475778,0.0004076702,0.0003269528,0.001613279,0.0004207992,0.0005921227,0.0001954133,0.0002845679,0.0007125536],"category_scores_gemma":[0.0008092252,0.000139928,0.0007020577,0.00151637,0.0001519545,0.0005175223,0.00055304,0.0003252581,0.0003586906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003149204,"about_ca_system_score_gemma":0.0003522033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002256648,"about_ca_topic_score_gemma":0.002025642,"domain_scores_codex":[0.9998288,0.00002079314,0.00001229479,0.0000702025,0.00003473659,0.00003324763],"domain_scores_gemma":[0.999706,0.00008410968,0.00005420946,0.00002511342,0.00008297841,0.00004762982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001166874,0.0002196217,0.1467242,0.001648523,0.0002542858,0.0006402207,0.001317032,0.008031898,0.7703027,0.001154311,0.001903263,0.06663709],"study_design_scores_gemma":[0.00004365917,0.001052578,0.7530383,0.0003079088,0.0006313674,0.001966214,0.002265084,0.09014879,0.1194926,0.002137172,0.0288018,0.0001144317],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985737,0.0008658268,0.003005118,0.0000677162,0.000009769008,0.00002173516,0.00918929,0.0001913078,0.0009123908],"genre_scores_gemma":[0.9245943,0.001321616,0.01773573,0.00007457376,0.00001515081,0.00006759728,0.05529118,0.000210791,0.0006890942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002256648,"threshold_uncertainty_score":0.004486978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02577676210471736,"score_gpt":0.2527077294853428,"score_spread":0.2269309673806255,"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."}}