{"id":"W2272561321","doi":"10.1007/s11047-015-9538-x","title":"On the overlap assembly of strings and languages","year":2016,"lang":"en","type":"article","venue":"Natural Computing","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Computer science; String (physics); Formal language; Concatenation (mathematics); Substitution (logic); Theoretical computer science; Extension (predicate logic); Catenation; Context (archaeology); Algorithm; Mathematics; Programming language; DNA; Arithmetic; Genetics; Biology","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":[0.001342681,0.0005422085,0.0008901835,0.001640333,0.002208897,0.002390838,0.001358661,0.001223167,0.008469668],"category_scores_gemma":[0.01169219,0.0007668673,0.0009702853,0.001546797,0.003491143,0.006791161,0.004478743,0.002088551,0.00131316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008968598,"about_ca_system_score_gemma":0.0007019396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002587882,"about_ca_topic_score_gemma":0.002608925,"domain_scores_codex":[0.9983845,0.0005092906,0.00009727803,0.0002921781,0.0004969051,0.0002199291],"domain_scores_gemma":[0.9938775,0.003997539,0.0003294157,0.0008206948,0.0006053129,0.000369643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005992397,0.00001710296,0.0003496376,0.00004697278,0.000007108921,0.0001092496,0.00036658,0.005868452,0.0009715242,0.9757608,0.001372931,0.01506972],"study_design_scores_gemma":[0.000009394282,0.0000192537,0.0002443935,0.00002790091,0.000006533196,0.00009939146,0.000130214,0.05149622,0.0009614182,0.9414002,0.005593026,0.00001197127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1719296,0.001145477,0.7441522,0.001982988,0.000301811,0.00008686373,0.0002444699,0.0007147209,0.07944186],"genre_scores_gemma":[0.7810902,0.0009147261,0.1810571,0.0006173038,0.0003898774,0.0002581761,0.001003876,0.0008848964,0.03378382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008469668,"threshold_uncertainty_score":0.02833384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008136046411732654,"score_gpt":0.2525398961503987,"score_spread":0.244403849738666,"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."}}