{"id":"W6920974217","doi":"10.6084/m9.figshare.15000029","title":"Additional file 4 of ARPEGGIO: Automated Reproducible Polyploid EpiGenetic GuIdance workflOw","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Concatenation (mathematics); Workflow; Selection (genetic algorithm); Genome","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":[0.002365089,0.00202097,0.001687492,0.002701657,0.001253319,0.002481553,0.002928689,0.001246806,0.6131136],"category_scores_gemma":[0.01087188,0.001147854,0.001573591,0.002905005,0.0004544632,0.001905708,0.001910164,0.001604978,0.2363051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109712,"about_ca_system_score_gemma":0.001979302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004346843,"about_ca_topic_score_gemma":0.008698354,"domain_scores_codex":[0.9988946,0.0001533577,0.0001432396,0.0003619141,0.0003096138,0.0001372709],"domain_scores_gemma":[0.9952683,0.002733439,0.0002903753,0.0007485069,0.0007460603,0.0002133196],"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":[0.000767699,0.00009836635,0.002174738,0.002627027,0.00009738255,0.0001185946,0.000108482,0.001210311,0.002964694,0.001095881,0.9734914,0.01524535],"study_design_scores_gemma":[0.001562141,0.0001996679,0.01195077,0.0008465706,0.0001982301,0.0003958839,0.0001981439,0.00387314,0.01349649,0.009241761,0.9577725,0.0002647881],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.0003751246,0.00004969682,0.004231774,0.00006776884,0.00005600463,0.0001371443,0.980289,0.01289816,0.001895259],"genre_scores_gemma":[0.004728918,0.00007644375,0.0162835,0.0003091458,0.00004539862,0.001096356,0.958506,0.01375615,0.005198049],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.6131136,"threshold_uncertainty_score":0.5518465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02614215978916539,"score_gpt":0.219610688996814,"score_spread":0.1934685292076486,"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."}}