{"id":"W3043039227","doi":"10.1101/2020.07.16.206193","title":"ARPEGGIO: Automated Reproducible Polyploid EpiGenetic GuIdance workflOw","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Chromosomal and Genetic Variations","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universität Zürich","keywords":"Workflow; Biology; Computational biology; Epigenetics; Polyploid; DNA methylation; Genome; Computer science; Genetics; Gene; Database","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":[],"consensus_categories":[],"category_scores_codex":[0.003712796,0.003972617,0.00167513,0.002800685,0.0009621703,0.003044027,0.003877403,0.001311788,0.01729288],"category_scores_gemma":[0.006044207,0.001631446,0.003285504,0.001340559,0.0008310596,0.001898458,0.003604469,0.002626508,0.01753605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001578161,"about_ca_system_score_gemma":0.002704665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004510071,"about_ca_topic_score_gemma":0.00325508,"domain_scores_codex":[0.9975386,0.0002271865,0.0002326426,0.001089947,0.0006206753,0.0002910882],"domain_scores_gemma":[0.9971372,0.0008691185,0.0003002361,0.0008315805,0.0005877358,0.0002741775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005771703,0.0005759172,0.01212933,0.003650849,0.0009792899,0.002433645,0.001500155,0.04194179,0.1955512,0.01393864,0.3142166,0.4073109],"study_design_scores_gemma":[0.001252459,0.0005177877,0.01611517,0.0004651573,0.0002296172,0.001239885,0.0003886474,0.2843493,0.2995097,0.03379506,0.3610409,0.00109634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.008188821,0.0004479087,0.3236605,0.0002427794,0.0001409933,0.0006220115,0.02396301,0.6388806,0.003853446],"genre_scores_gemma":[0.08050681,0.0005735639,0.7152283,0.0008800809,0.0001134047,0.003007619,0.1248723,0.06776997,0.00704803],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.01729288,"threshold_uncertainty_score":0.05785048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157990972163447,"score_gpt":0.2169713798144512,"score_spread":0.1953914700928167,"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."}}