{"id":"W6902350877","doi":"10.6084/m9.figshare.7744340","title":"Additional file 2: of Changes in norovirus genotype diversity in gastroenteritis outbreaks in Alberta, Canada: 2012â 2018","year":2019,"lang":"en","type":"article","venue":"Figshare","topic":"Viral gastroenteritis research and epidemiology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Norovirus; Genotype; Outbreak; Phylogenetics; Genetic diversity; Capsid; Phylogenetic tree; Diversity (politics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008843156,0.0008517023,0.001005661,0.003584665,0.001656084,0.001501085,0.001768255,0.0005906713,0.702706],"category_scores_gemma":[0.01242868,0.0004455502,0.0009974079,0.007895229,0.0002975718,0.0009692583,0.0008010654,0.0005884677,0.0550825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005030802,"about_ca_system_score_gemma":0.01081934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7910241,"about_ca_topic_score_gemma":0.8575484,"domain_scores_codex":[0.9994153,0.0000395657,0.00006289877,0.0001041279,0.0002048089,0.0001732938],"domain_scores_gemma":[0.9912205,0.003257439,0.0006034409,0.000470388,0.003933207,0.000515059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000157813,0.00002880983,0.009776426,0.001245254,0.00004534104,0.00006421739,0.00009128012,0.000566013,0.00005514571,0.0003072058,0.9803076,0.007354933],"study_design_scores_gemma":[0.002289109,0.0001166906,0.332435,0.004884232,0.0002522431,0.0004719987,0.00183539,0.003084055,0.0005894487,0.002260046,0.6515718,0.0002099932],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002482892,0.000009898426,0.00003189734,0.00003680326,0.00001259551,0.00002018755,0.9989378,0.00005871499,0.0006438263],"genre_scores_gemma":[0.01538874,0.0001773314,0.001472368,0.0001726387,0.00005047056,0.000370094,0.9691676,0.0002804646,0.01292028],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.702706,"threshold_uncertainty_score":0.4240537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0287695137035928,"score_gpt":0.2473753800240895,"score_spread":0.2186058663204967,"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."}}