{"id":"W2000098237","doi":"10.1007/s002360050001","title":"Querying sequence databases with transducers","year":2000,"lang":"en","type":"article","venue":"Acta Informatica","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Datalog; Computer science; Ackermann function; Subroutine; Theory of computation; Theoretical computer science; Hierarchy; Programming language; Sequence (biology); Database; P; Query language; Workstation; Transducer; Time complexity; Algorithm; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002885014,0.0009708696,0.00212637,0.004277317,0.0009631425,0.004936334,0.00201027,0.00257969,0.003385179],"category_scores_gemma":[0.02184722,0.001051395,0.001749378,0.006537326,0.001852539,0.01169507,0.003499359,0.002035477,0.001810057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001123406,"about_ca_system_score_gemma":0.001574625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002270108,"about_ca_topic_score_gemma":0.001996832,"domain_scores_codex":[0.9946826,0.001307613,0.000847019,0.0009031165,0.002028125,0.000231546],"domain_scores_gemma":[0.985575,0.01011354,0.0004036285,0.002442035,0.001252808,0.000213032],"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":[0.002198314,0.0004377683,0.007917009,0.001543462,0.000413888,0.001688372,0.002167605,0.0926416,0.04412044,0.2867221,0.02540436,0.5347452],"study_design_scores_gemma":[0.0001194423,0.0001649628,0.0005637764,0.0001360634,0.000176572,0.0009291783,0.0006316975,0.510396,0.04473447,0.4219077,0.02014661,0.00009356567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0704647,0.001320513,0.9087593,0.001459317,0.0002115303,0.0001491786,0.003108704,0.01092563,0.003601093],"genre_scores_gemma":[0.5497038,0.001711243,0.4319922,0.0008118004,0.0003010142,0.0003622106,0.00953503,0.001381502,0.004201089],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004936334,"threshold_uncertainty_score":0.0152576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02632146965480677,"score_gpt":0.2518736810062855,"score_spread":0.2255522113514788,"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."}}