{"id":"W4283012608","doi":"10.1186/s12863-022-01053-x","title":"Parallel and private generalized suffix tree construction and query on genomic data","year":2022,"lang":"en","type":"article","venue":"BMC Genomic Data","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Suffix tree; Suffix; Computer science; Tree (set theory); Mathematics; Combinatorics; Data structure; Programming language; Linguistics; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.000627375,0.0001886156,0.0002231134,0.00009969885,0.0004522383,0.0002654116,0.003498631,0.0000368809,0.0000391541],"category_scores_gemma":[0.00002843194,0.0001812077,0.00001435928,0.0001152232,0.00008965917,0.0008359228,0.0192608,0.0001888814,0.00001737778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004727244,"about_ca_system_score_gemma":0.0001495231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002160546,"about_ca_topic_score_gemma":0.00005343789,"domain_scores_codex":[0.9978149,0.0001796976,0.0002867655,0.00122296,0.0002264484,0.000269257],"domain_scores_gemma":[0.9954129,0.00008967697,0.0001559909,0.004211846,0.00001005297,0.0001195697],"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":[0.0007758543,0.0005158966,0.01864202,0.0001705411,0.0002468651,0.0001393308,0.0008071855,0.002821384,0.02596853,0.1487124,0.1398777,0.6613224],"study_design_scores_gemma":[0.002226942,0.0001651892,0.02115554,0.00001361427,0.00003439122,0.0003343835,0.00007517538,0.6264649,0.00002984405,0.003130865,0.3458377,0.000531474],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5134401,0.002523582,0.4756669,0.0006320699,0.001165464,0.0006336296,0.005535962,0.0001968285,0.0002054619],"genre_scores_gemma":[0.03875537,0.0008210607,0.9512298,0.000720849,0.0003375409,0.0000322703,0.007849482,0.00004122915,0.0002123649],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6607909,"threshold_uncertainty_score":0.9886712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06667293420759444,"score_gpt":0.2694089695949737,"score_spread":0.2027360353873793,"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."}}