{"id":"W2579425220","doi":"","title":"Duplications and pseudo-duplications","year":2016,"lang":"en","type":"article","venue":"International journal of unconventional computing","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Substring; Gene duplication; Nondeterministic finite automaton; Nondeterministic algorithm; String (physics); Computer science; Mathematics; Algorithm; Automaton; Theoretical computer science; Automata theory; Data structure; Genetics; Biology; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.00100735,0.0003799655,0.0005605663,0.0007331853,0.001098228,0.001879964,0.001336681,0.001171497,0.002667294],"category_scores_gemma":[0.007240585,0.0004767194,0.00110763,0.0008048329,0.00401085,0.005441933,0.002349059,0.001384124,0.0005250733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008006286,"about_ca_system_score_gemma":0.0008931005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005828773,"about_ca_topic_score_gemma":0.0003717958,"domain_scores_codex":[0.9969505,0.0004444681,0.0004017581,0.001095349,0.0007197623,0.0003880751],"domain_scores_gemma":[0.9930968,0.003015122,0.0009317165,0.00187671,0.0007679015,0.000311875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004112497,0.00006240822,0.004406206,0.0003751702,0.00006524538,0.002427233,0.001468936,0.01569884,0.04683362,0.8864838,0.001547832,0.04021937],"study_design_scores_gemma":[0.00005749,0.0002700951,0.00225061,0.0001141511,0.00009651804,0.004867123,0.0005752796,0.05790271,0.05156758,0.8503988,0.03176376,0.0001358192],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5851589,0.002512099,0.3820093,0.001174138,0.0003349943,0.0001531465,0.000818802,0.001177893,0.02666073],"genre_scores_gemma":[0.9466961,0.000613361,0.04514743,0.0003144915,0.00009754412,0.0001665818,0.0003973866,0.0001570804,0.006410056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002667294,"threshold_uncertainty_score":0.008923054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01208370252448869,"score_gpt":0.2845268937642587,"score_spread":0.27244319123977,"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."}}