{"id":"W6939656592","doi":"10.6084/m9.figshare.20098337.v1","title":"Additional file 1 of Parallel and private generalized suffix tree construction and query on genomic data","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Suffix; Suffix tree; Tree (set theory); Query language; Query optimization; Set (abstract data type)","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":[0.001677819,0.00157591,0.001292525,0.002389855,0.0009328728,0.002194094,0.002667048,0.001353933,0.8047181],"category_scores_gemma":[0.02748783,0.001075141,0.0009791851,0.004707615,0.0006043303,0.001880407,0.001584301,0.001590868,0.3058026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001399259,"about_ca_system_score_gemma":0.002300022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00504568,"about_ca_topic_score_gemma":0.006877281,"domain_scores_codex":[0.9989083,0.0001462131,0.0001352153,0.0003505395,0.0003080447,0.0001516503],"domain_scores_gemma":[0.9869735,0.008960753,0.000408322,0.001777295,0.001476785,0.0004033989],"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":[0.0004114923,0.0000894889,0.0009319472,0.001264657,0.00003637158,0.00008391774,0.00005569835,0.001040864,0.001025194,0.001379509,0.9779694,0.01571143],"study_design_scores_gemma":[0.004490476,0.0003321416,0.01057841,0.0009300038,0.0002112572,0.0008496728,0.0004248591,0.01873909,0.01557557,0.04244333,0.905131,0.000294191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004221083,0.00003322624,0.003088087,0.0001286783,0.00007091928,0.0001191847,0.9872205,0.006992794,0.00192445],"genre_scores_gemma":[0.009084016,0.0001242791,0.02397799,0.0004931516,0.000103731,0.001095066,0.9474826,0.01126492,0.006374207],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8047181,"threshold_uncertainty_score":0.2785458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04240883657829025,"score_gpt":0.2355509160144965,"score_spread":0.1931420794362063,"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."}}