{"id":"W2071889691","doi":"10.1142/s012962640700296x","title":"ASPECTS OF BIOMOLECULAR COMPUTING","year":2007,"lang":"en","type":"article","venue":"Parallel Processing Letters","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Membrane computing; DNA computing; Natural computing; Computer science; Unconventional computing; Field (mathematics); Computation; Process (computing); Theoretical computer science; Supercomputer; Distributed computing; Computational science; Parallel computing; Algorithm; Mathematics","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":[0.0009877435,0.0007634909,0.000758046,0.00149973,0.001628361,0.004962681,0.001184342,0.002202514,0.009186395],"category_scores_gemma":[0.002933777,0.0003877579,0.0007085348,0.002270066,0.006582643,0.006594587,0.002239005,0.002916419,0.00310261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001765808,"about_ca_system_score_gemma":0.001055815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009608338,"about_ca_topic_score_gemma":0.0005191675,"domain_scores_codex":[0.9986494,0.0003873827,0.00007813582,0.0002301857,0.0005489903,0.0001060042],"domain_scores_gemma":[0.998767,0.0006134519,0.00006262222,0.0003206091,0.0001626093,0.00007373363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003682468,0.000005578968,0.00004402005,0.00008625862,0.000005004237,0.00002750528,0.00006585167,0.0006014151,0.0001389093,0.9864733,0.003832466,0.00871612],"study_design_scores_gemma":[0.000002786981,0.000004789306,0.00004544097,0.00004261731,0.000002195657,0.00007691993,0.00002575316,0.001122954,0.00008161905,0.9324106,0.06618095,0.000003422984],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007315665,0.1785073,0.2189694,0.03500422,0.004462095,0.0001302037,0.000395903,0.0005408478,0.5546745],"genre_scores_gemma":[0.5227773,0.2125811,0.1283377,0.01345669,0.02101851,0.0007161587,0.0008890379,0.0004793887,0.09974416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009186395,"threshold_uncertainty_score":0.0307315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302765596491974,"score_gpt":0.2657766849819022,"score_spread":0.2527490290169824,"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."}}