{"id":"W6904652443","doi":"10.1371/journal.pone.0236436.s004","title":"wgMLST UPGMA dendrogram with Clade IV Canadian &lt;i&gt;Salmonella&lt;/i&gt; 4,[5],12:i:- isolates.","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Salmonella and Campylobacter epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dendrogram; UPGMA; Clade; Cluster (spacecraft); Key (lock)","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":[0.0006509254,0.001548911,0.0008692974,0.003159303,0.001342669,0.001413191,0.001150875,0.000766147,0.03008834],"category_scores_gemma":[0.002881651,0.0004446015,0.001106693,0.00538793,0.0003178735,0.001024735,0.0007264962,0.001620294,0.01525827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008546542,"about_ca_system_score_gemma":0.001222898,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008325229,"about_ca_topic_score_gemma":0.008837534,"domain_scores_codex":[0.9994314,0.0001264472,0.00005970814,0.0002043753,0.0001094996,0.00006859296],"domain_scores_gemma":[0.9989806,0.0001918532,0.0001609668,0.0001575694,0.0003883962,0.0001206406],"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":[0.007438391,0.001395315,0.04516928,0.005842676,0.0007483037,0.002075834,0.004643732,0.0114246,0.3256957,0.005572207,0.3565832,0.2334107],"study_design_scores_gemma":[0.0002684726,0.001487567,0.2248436,0.001496945,0.0008544941,0.001730252,0.005327081,0.03295695,0.04891244,0.003044333,0.6787383,0.0003395178],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3213112,0.002464974,0.08884515,0.002669555,0.002090748,0.003467883,0.4826158,0.01215275,0.08438198],"genre_scores_gemma":[0.2792739,0.001244495,0.2008039,0.0004824882,0.0001219657,0.001128724,0.4731563,0.003685089,0.04010297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9916748,"threshold_uncertainty_score":0.1006555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04064103057683936,"score_gpt":0.2131008865517611,"score_spread":0.1724598559749218,"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."}}