{"id":"W1973168763","doi":"10.4204/eptcs.31.14","title":"Ciliate Gene Unscrambling with Fewer Templates","year":2010,"lang":"en","type":"article","venue":"Electronic Proceedings in Theoretical Computer Science","topic":"Protist diversity and phylogeny","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Regular language; Alphabet; Set (abstract data type); Finite set; Object (grammar); Template; Turing machine; Formal language; Completeness (order theory)","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":[],"consensus_categories":[],"category_scores_codex":[0.0007497881,0.0001456646,0.0001128352,0.00008820336,0.0002094357,0.0001122221,0.0007331501,0.00009668104,0.00001749039],"category_scores_gemma":[0.00006671233,0.0001202263,0.00002953362,0.0004424,0.001372162,0.00002062117,0.0003047222,0.0003849876,0.000008005615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002714911,"about_ca_system_score_gemma":0.000191092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002504951,"about_ca_topic_score_gemma":0.000007863471,"domain_scores_codex":[0.9984071,0.000006573205,0.0001196463,0.0005547213,0.0002487115,0.000663274],"domain_scores_gemma":[0.9995115,0.00001067588,0.00004169832,0.0001643888,0.0001539596,0.0001177694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00010146,0.00005196064,0.01323866,0.000007327749,0.000008278272,0.000003294303,0.00008196726,0.00001630816,0.5148735,0.4702375,0.00001990293,0.001359834],"study_design_scores_gemma":[0.0007589646,0.001139124,0.008438685,0.00002172115,0.000009679055,0.000169892,0.00001723951,0.005624043,0.9361495,0.04652265,0.0006902228,0.0004582241],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884507,0.00003689908,0.009707206,0.0001548792,0.0001103089,0.0001537826,0.000001226853,0.0000219349,0.001363055],"genre_scores_gemma":[0.9924942,0.00001052386,0.007057685,0.0002446454,0.0001590185,0.000007879175,0.000002635208,0.000009161428,0.00001428447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4237148,"threshold_uncertainty_score":0.5055787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003014915257480152,"score_gpt":0.2085467797662993,"score_spread":0.2055318645088191,"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."}}