{"id":"W4250521445","doi":"10.1007/978-3-319-41192-7_16","title":"Biomolecular Computing","year":2016,"lang":"en","type":"book-chapter","venue":"","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Natural computing; Membrane computing; DNA computing; Computer science; Unconventional computing; Computation; Theoretical computer science; Computational science; Distributed computing; Algorithm","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":[0.0003591142,0.00136649,0.0006723563,0.001303888,0.0009584735,0.003500771,0.001321205,0.0009884466,0.06862643],"category_scores_gemma":[0.001073645,0.0004568789,0.0004003341,0.001811188,0.001693674,0.004581863,0.002562917,0.00243325,0.04614884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001535227,"about_ca_system_score_gemma":0.001324122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008168471,"about_ca_topic_score_gemma":0.001490261,"domain_scores_codex":[0.9995139,0.0000670094,0.00001613775,0.00008904639,0.0002761304,0.0000379602],"domain_scores_gemma":[0.9997659,0.00006937893,0.000009260507,0.00006881999,0.00005397494,0.0000326444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001434917,0.0000295441,0.00005009441,0.0003576805,0.00001040501,0.00003615588,0.0001731293,0.0008699353,0.001336991,0.4869243,0.2269147,0.2832827],"study_design_scores_gemma":[0.000002668354,0.000005287458,0.00004340898,0.0001327565,0.000002380823,0.00008217584,0.00002466522,0.0006432815,0.0004763024,0.1067777,0.8918038,0.000005571551],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005625843,0.02656561,0.0512534,0.002277612,0.002995655,0.00007204228,0.000221785,0.0008396343,0.9152117],"genre_scores_gemma":[0.01048605,0.02591623,0.024848,0.001353793,0.001470638,0.0001461206,0.0005005873,0.0006049172,0.9346737],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06862643,"threshold_uncertainty_score":0.2295783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494276281170683,"score_gpt":0.2384938046261656,"score_spread":0.2235510418144587,"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."}}