{"id":"W2601583866","doi":"10.1111/tbed.12644","title":"The detection and phylogenetic analysis of porcine deltacoronavirus from Guangdong Province in Southern China","year":2017,"lang":"en","type":"article","venue":"Transboundary and Emerging Diseases","topic":"Animal Virus Infections Studies","field":"Agricultural and Biological Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Phylogenetic tree; Virology; Biology; Strain (injury); Virus; Lineage (genetic); Rotavirus; Diarrhea; Coronavirus; Feces; Outbreak; Veterinary medicine; Gene; Microbiology; Coronavirus disease 2019 (COVID-19); Genetics; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003530978,0.0003969315,0.0002850023,0.001316574,0.0008430961,0.0003253006,0.0002337201,0.0002835323,0.0004143276],"category_scores_gemma":[0.0003459898,0.0002477567,0.0003220018,0.001524269,0.0004246809,0.0001669831,0.0004009005,0.0001780211,0.00007982983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008082911,"about_ca_system_score_gemma":0.001248394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07869852,"about_ca_topic_score_gemma":0.08087365,"domain_scores_codex":[0.9997894,0.00001872729,0.00002427656,0.0000748961,0.00005271072,0.0000399345],"domain_scores_gemma":[0.9996401,0.00004151423,0.0000899045,0.00002807807,0.00008477153,0.000115736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006039683,0.00002024799,0.9692091,0.00005409157,0.00003919369,0.0008135431,0.001250698,0.0001767546,0.0234618,0.00004176307,0.0001135095,0.004759019],"study_design_scores_gemma":[0.000005400743,0.00003854869,0.9982744,0.000005970056,0.00001213078,0.0003233428,0.000423997,0.0001420434,0.000334333,0.00001201727,0.0004240906,0.000003597725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999378,0.000117736,0.00006465262,0.00001821457,0.00000246554,0.000008518075,0.0001462923,0.000001844696,0.0002622239],"genre_scores_gemma":[0.9982975,0.0001658977,0.0001886873,0.00004304094,0.000004397881,0.00001422055,0.0008996148,0.000001760442,0.0003848957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07869852,"threshold_uncertainty_score":0.1564809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01315710499975865,"score_gpt":0.2366351195147682,"score_spread":0.2234780145150095,"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."}}