{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006247745,0.0002482869,0.0004652545,0.0003162737,0.0005655996,0.001244857,0.001247,0.0007845755,0.001590743],"category_scores_gemma":[0.002733649,0.0004328187,0.0008963712,0.0002129564,0.001618012,0.001501983,0.001208279,0.001056574,0.0006334169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006401934,"about_ca_system_score_gemma":0.0007151053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008701336,"about_ca_topic_score_gemma":0.0009618949,"domain_scores_codex":[0.9992447,0.0001480241,0.00007056585,0.0002517953,0.0002003665,0.00008464835],"domain_scores_gemma":[0.9977611,0.0006474453,0.0002303418,0.001109668,0.000140764,0.0001106498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003448646,0.00009685087,0.002369624,0.00027243,0.00003392867,0.0007910284,0.001115162,0.05092192,0.6665732,0.2290246,0.0004790053,0.04797741],"study_design_scores_gemma":[0.00009998119,0.000420596,0.002031168,0.00006435558,0.00009391351,0.001236351,0.0002807943,0.2536328,0.6237504,0.09742707,0.02084856,0.0001140628],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6310642,0.0004442994,0.3574787,0.0003271862,0.00005838315,0.00004699721,0.00007668212,0.002306807,0.008196808],"genre_scores_gemma":[0.9137745,0.0001473764,0.08325193,0.0001419052,0.00001437427,0.00006987307,0.0001224705,0.0001954622,0.002282189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001590743,"threshold_uncertainty_score":0.005321503,"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."}}