{"id":"W6976578178","doi":"10.6084/m9.figshare.15087434","title":"Additional file 1 of InvertypeR: Bayesian inversion genotyping with Strand-seq data","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Cancer Agency","funders":"","keywords":"Bayesian probability; Inversion (geology); Pattern recognition (psychology); Bayes estimator; Genotyping","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":[0.002367688,0.002006897,0.001729552,0.003102596,0.001488614,0.002178001,0.003095811,0.00163644,0.694519],"category_scores_gemma":[0.01265011,0.001301844,0.001357311,0.003476046,0.0004884842,0.00142943,0.001600165,0.001915558,0.2023384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001075515,"about_ca_system_score_gemma":0.002175477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006314708,"about_ca_topic_score_gemma":0.01472398,"domain_scores_codex":[0.9988769,0.000176096,0.0001054326,0.0003897782,0.0002939933,0.0001578095],"domain_scores_gemma":[0.9900671,0.00727818,0.0004440252,0.001040837,0.0007541013,0.0004157908],"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":[0.0002652382,0.0001196996,0.003571683,0.001823586,0.0001147454,0.0001347437,0.000116997,0.001366788,0.00234668,0.001506462,0.9788456,0.00978781],"study_design_scores_gemma":[0.002440215,0.0002486225,0.0272448,0.00126596,0.0004306973,0.0008185204,0.0003689953,0.006565609,0.01081242,0.0159366,0.9335482,0.0003193882],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002571352,0.00002127058,0.002049145,0.00004604842,0.00003441048,0.00005631364,0.9942932,0.002041528,0.001201003],"genre_scores_gemma":[0.004556497,0.00007404717,0.008213504,0.0003439624,0.00004700225,0.0007527251,0.9775133,0.004231502,0.004267436],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.694519,"threshold_uncertainty_score":0.4357315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305044108215482,"score_gpt":0.2095710027921381,"score_spread":0.1865205617099833,"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."}}