{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008392259,0.001662311,0.001299311,0.002500708,0.001249636,0.002738157,0.002368886,0.002141065,0.4402275],"category_scores_gemma":[0.006672656,0.0009777318,0.001596157,0.004075103,0.0004487027,0.002089943,0.002792401,0.001762329,0.2057858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009321243,"about_ca_system_score_gemma":0.001787553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009424637,"about_ca_topic_score_gemma":0.02247357,"domain_scores_codex":[0.9992641,0.00007790294,0.00004717128,0.000193264,0.0002891513,0.0001284605],"domain_scores_gemma":[0.9980806,0.00067241,0.00009924273,0.0003653247,0.0005907695,0.0001916377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001591451,0.00004287689,0.0007575135,0.001017967,0.00005201465,0.0001094568,0.00005363329,0.0008133955,0.001954178,0.001405305,0.9782045,0.01542989],"study_design_scores_gemma":[0.0003191906,0.00009285938,0.009125232,0.0007454551,0.00006704018,0.0006254207,0.0002197063,0.01367422,0.006125673,0.01408252,0.9547871,0.0001355153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001781356,0.000562061,0.0152163,0.0008922822,0.001001482,0.0001823299,0.9379718,0.02896893,0.01342341],"genre_scores_gemma":[0.008880737,0.000636677,0.03580653,0.001099744,0.0001983521,0.0005006957,0.937346,0.006917427,0.008613797],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4402275,"threshold_uncertainty_score":0.7984475,"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."}}