{"id":"W3211274039","doi":"10.5281/zenodo.3674022","title":"ExpansionHunter Denovo: a suite of tools for detecting novel expansions of short tandem repeats","year":2020,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Suite; Computer science; Tandem; Tandem repeat; Chemistry; Genome; Biochemistry; Materials science","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":[0.003753578,0.002285368,0.002521613,0.00415288,0.001972341,0.002544487,0.002578225,0.001807312,0.01454387],"category_scores_gemma":[0.006754823,0.002088368,0.002532391,0.002432071,0.0008056406,0.002145491,0.003150782,0.004043224,0.01096273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006678152,"about_ca_system_score_gemma":0.001366211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002105211,"about_ca_topic_score_gemma":0.006760328,"domain_scores_codex":[0.9974317,0.0004078742,0.0002363607,0.0009254459,0.0007637307,0.0002349085],"domain_scores_gemma":[0.9981078,0.000941091,0.0003725548,0.000253158,0.0001767936,0.0001486474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003466178,0.0003406616,0.01737303,0.007821936,0.00185502,0.002391061,0.002161977,0.005762995,0.3327403,0.01072727,0.2674849,0.3478748],"study_design_scores_gemma":[0.001282632,0.0006112639,0.03415392,0.001075554,0.0008683752,0.005091654,0.0006207605,0.08205463,0.262267,0.01850493,0.5925809,0.0008883733],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.04152893,0.006615767,0.5491539,0.0005543245,0.0008304832,0.001370714,0.09400286,0.2942336,0.01170948],"genre_scores_gemma":[0.05743187,0.001770347,0.7457432,0.0008109853,0.0001851098,0.00204588,0.1421264,0.0414964,0.008389973],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01454387,"threshold_uncertainty_score":0.04865408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06548957037806047,"score_gpt":0.2640530012925231,"score_spread":0.1985634309144627,"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."}}