{"id":"W6902525190","doi":"10.6084/m9.figshare.c.6070481","title":"Supplementary material from \"Deep clustering of bacterial tree images\"","year":2022,"lang":"en","type":"other","venue":"Figshare","topic":"","field":"","cited_by":1,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00004152628,0.0005502895,0.000705105,0.0003276626,0.00005148577,0.00008476296,0.0009238535,0.0002684703,0.9994659],"category_scores_gemma":[0.00009745712,0.0006307251,0.0002164616,0.0001483611,0.00001327765,0.00007158305,0.001541777,0.0002626427,0.008679728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002385666,"about_ca_system_score_gemma":0.00008885699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001876694,"about_ca_topic_score_gemma":0.003605622,"domain_scores_codex":[0.9976486,0.0001702847,0.0004778475,0.0006678391,0.0005793253,0.000456113],"domain_scores_gemma":[0.9982437,0.00003730507,0.0007068035,0.000878868,0.00002725481,0.0001060991],"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":[0.0001779349,0.00005213217,0.000004988034,0.000402235,0.0002047818,0.0000817614,0.00007501776,0.0000022489,0.004215128,9.784451e-8,0.9943786,0.0004050752],"study_design_scores_gemma":[0.001218183,0.00006432411,0.0001155685,0.001309465,0.00008174225,0.000004290296,0.00004775425,0.0000207389,0.002186927,0.000002674635,0.9943727,0.0005756503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002110436,0.0001127693,1.423208e-7,0.000005676092,0.0008259996,0.0006509079,0.8776093,0.000267425,0.1205067],"genre_scores_gemma":[0.00009292048,0.000001836256,0.0005096595,0.00003491466,0.003030934,0.0004493003,0.9479287,0.00231288,0.04563883],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9907863,"threshold_uncertainty_score":0.9996144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02511432066082213,"score_gpt":0.254067939098586,"score_spread":0.2289536184377639,"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."}}