{"id":"W6921313458","doi":"10.6084/m9.figshare.c.6070481.v1","title":"Supplementary material from \"Deep clustering of bacterial tree images\"","year":2022,"lang":"en","type":"other","venue":"Figshare","topic":"Libraries and Information Services","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Phylogenetic tree; Context (archaeology); Cluster analysis; Tree of life (biology); Phylogenetics; Tree (set theory); Population; Diversification (marketing strategy)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00001088023,0.00017965,0.0002466527,0.00009329394,0.00008902863,0.0002715089,0.0003402862,0.00006170972,0.9995447],"category_scores_gemma":[0.000005766097,0.0001661337,0.00008173976,0.00001401635,0.000009442594,0.0002611191,0.0004168388,0.00007868995,0.0004516409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001549259,"about_ca_system_score_gemma":0.00002443513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001503353,"about_ca_topic_score_gemma":0.003275877,"domain_scores_codex":[0.9992421,0.00002086505,0.0002798783,0.0001376863,0.0001801443,0.0001393315],"domain_scores_gemma":[0.9993827,0.00002068435,0.0003223111,0.0002263592,0.0000177452,0.00003021712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002276983,0.000007055191,4.97593e-7,0.0003029986,0.00005640621,0.00000195607,0.002805256,2.79065e-7,0.000002380448,0.00005871024,0.9957584,0.0009833574],"study_design_scores_gemma":[0.0002718568,0.00003232286,0.000004678353,0.0002719144,0.00001479707,2.342838e-7,0.001674229,0.00001700248,0.0000820962,0.00001265047,0.9974291,0.0001890986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000004154347,0.00003005068,2.853152e-8,0.00002266806,0.0006354175,0.0001083093,0.566213,0.00004522409,0.4329411],"genre_scores_gemma":[0.00003790859,0.000004421848,0.00005331804,0.0003184128,0.004093716,0.00008677334,0.8854285,0.0001458677,0.1098311],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9990931,"threshold_uncertainty_score":0.6774734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02823403824288353,"score_gpt":0.2036644346225325,"score_spread":0.175430396379649,"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."}}