{"id":"W3131781639","doi":"10.1101/2021.02.21.432160","title":"Generation of a microsporidia species attribute database and analysis of the extensive ecological and phenotypic diversity of microsporidia","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Parasitic Infections and Diagnostics","field":"Immunology and Microbiology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microsporidia; Obligate; Phylogenetic tree; Clade; Phylogenetics; Host (biology); Phylum; Biodiversity; Phylogenetic diversity","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":[0.002104195,0.001155586,0.00120936,0.008703601,0.000955233,0.001909191,0.001313612,0.001060284,0.003083808],"category_scores_gemma":[0.004251909,0.000760911,0.001226583,0.004942582,0.0003071246,0.001653474,0.001660025,0.0012575,0.003453807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005733302,"about_ca_system_score_gemma":0.001459783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001832631,"about_ca_topic_score_gemma":0.002255086,"domain_scores_codex":[0.9983894,0.0001571171,0.0002715068,0.0005999597,0.0004398824,0.0001421735],"domain_scores_gemma":[0.9974155,0.0005959217,0.0004950153,0.0004787596,0.0006674324,0.0003474184],"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":[0.003351761,0.002672874,0.1725162,0.005395513,0.001188656,0.004472308,0.002332596,0.009168067,0.3551054,0.008181772,0.1477731,0.2878418],"study_design_scores_gemma":[0.0006369428,0.001389533,0.420757,0.000653093,0.0007350959,0.003907237,0.00150931,0.1155158,0.1324382,0.007488173,0.3143906,0.0005790152],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2860129,0.001537523,0.05088995,0.0003861733,0.0001881141,0.0007759487,0.6260425,0.0296818,0.00448503],"genre_scores_gemma":[0.07523781,0.0004212348,0.09356613,0.00009306817,0.00003833121,0.0005244476,0.8282126,0.0008427854,0.001063666],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008703601,"threshold_uncertainty_score":0.01112819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02850412726764455,"score_gpt":0.227173856638399,"score_spread":0.1986697293707544,"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."}}