{"id":"W2092820948","doi":"10.1023/b:naco.0000006770.91995.ec","title":"Algorithms for testing that sets of DNA words concatenate without secondary structure","year":2003,"lang":"en","type":"article","venue":"Natural Computing","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Set (abstract data type); Theory of computation; Computer science; Algorithm; Nucleic acid secondary structure; Theoretical computer science; Mathematics; Discrete mathematics; Combinatorics; RNA; Genetics; Biology","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":[0.005833226,0.001942707,0.001293845,0.002031161,0.001484479,0.002486986,0.004092928,0.004335195,0.007320127],"category_scores_gemma":[0.03873212,0.0008050707,0.002216019,0.001937895,0.002633203,0.007594242,0.003178396,0.002126618,0.002098303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159234,"about_ca_system_score_gemma":0.003129848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001494105,"about_ca_topic_score_gemma":0.002232882,"domain_scores_codex":[0.9938142,0.001720815,0.0007256093,0.002003529,0.001327861,0.0004079655],"domain_scores_gemma":[0.9325448,0.0562123,0.002239935,0.0048351,0.003255085,0.0009128163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003010079,0.001621766,0.04239597,0.0008977585,0.0006629525,0.000450204,0.0006062572,0.110574,0.02070988,0.03870533,0.01636473,0.7640011],"study_design_scores_gemma":[0.0005089277,0.0007271012,0.003387698,0.0001176752,0.0002329716,0.000693963,0.0004822332,0.8433852,0.02707624,0.1193332,0.003984986,0.00006988068],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2570553,0.0003773904,0.7181547,0.001831311,0.0002481662,0.0009254001,0.002358143,0.01095744,0.008092275],"genre_scores_gemma":[0.4551848,0.000124204,0.5330997,0.0007770758,0.0001680786,0.001174759,0.005834093,0.0004929375,0.003144334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007320127,"threshold_uncertainty_score":0.0308494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02839865559342692,"score_gpt":0.2862824322705501,"score_spread":0.2578837766771232,"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."}}