{"id":"W6976966089","doi":"10.6084/m9.figshare.15000023","title":"Additional file 2 of ARPEGGIO: Automated Reproducible Polyploid EpiGenetic GuIdance workflOw","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Workflow; Context (archaeology); Plot (graphics); Polyploid; Sample (material); Matching (statistics); Methylation","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":[0.002095044,0.002268371,0.001747745,0.002599879,0.001184549,0.002672819,0.002912773,0.001123095,0.6026039],"category_scores_gemma":[0.009438416,0.001287065,0.001683084,0.002869121,0.0004343186,0.002070055,0.001839832,0.001867992,0.2535023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084328,"about_ca_system_score_gemma":0.001556542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003747298,"about_ca_topic_score_gemma":0.00638959,"domain_scores_codex":[0.9988856,0.000134409,0.0001129877,0.0004156556,0.0003108522,0.0001404573],"domain_scores_gemma":[0.9958702,0.002304756,0.0002892568,0.0006775048,0.0006356834,0.0002225103],"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":[0.0005760158,0.00007949863,0.001782352,0.002131831,0.00009539162,0.00009526734,0.0001019767,0.001028739,0.003754508,0.0009697059,0.974389,0.01499584],"study_design_scores_gemma":[0.001272518,0.0001860226,0.01223572,0.0006058749,0.0001753788,0.0003927987,0.000159657,0.004623579,0.0176363,0.008548117,0.9538776,0.000286458],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0006101834,0.00008820261,0.009806869,0.0001260707,0.00009425131,0.0001366247,0.9457926,0.04087555,0.002469661],"genre_scores_gemma":[0.007147529,0.0001257594,0.02661448,0.0004182858,0.00007928233,0.001275907,0.9097171,0.04864927,0.005972331],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.6026039,"threshold_uncertainty_score":0.5668374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01695727545456458,"score_gpt":0.2338954823546891,"score_spread":0.2169382069001246,"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."}}