{"id":"W6958538035","doi":"10.6084/m9.figshare.15087443","title":"Additional file 4 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; Pattern recognition (psychology); Inversion (geology); Bayes estimator; Bayes' theorem","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":[0.002235508,0.002116546,0.001865394,0.003214601,0.001569535,0.002449248,0.003188202,0.001983283,0.7628766],"category_scores_gemma":[0.01445391,0.001449084,0.00163639,0.003503785,0.0005302246,0.001631418,0.001670157,0.00195313,0.233161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120256,"about_ca_system_score_gemma":0.002092822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008329623,"about_ca_topic_score_gemma":0.01711948,"domain_scores_codex":[0.9989319,0.0001645935,0.00009884789,0.0003754834,0.0002615711,0.0001675024],"domain_scores_gemma":[0.9884672,0.008517934,0.0004583222,0.001141008,0.0009501866,0.0004653322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002691237,0.00008546255,0.003242002,0.001634829,0.0001037436,0.0001311679,0.0001118043,0.001142346,0.001367769,0.001060848,0.9832461,0.007604762],"study_design_scores_gemma":[0.00307719,0.0002051332,0.025322,0.001325096,0.000374683,0.0006867751,0.0004190448,0.005326363,0.007101858,0.01666608,0.9391622,0.0003336386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0002154167,0.00001888584,0.001511369,0.00005676924,0.00004044397,0.00004811656,0.9942991,0.002663699,0.001146284],"genre_scores_gemma":[0.005685992,0.00007727432,0.008344744,0.0004863103,0.000066309,0.0007902861,0.9722146,0.0067817,0.005552814],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7628766,"threshold_uncertainty_score":0.3382277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02282528511504248,"score_gpt":0.2096176856359202,"score_spread":0.1867924005208777,"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."}}