{"id":"W2515013923","doi":"","title":"DNA Computing: 11th International Workshop on DNA Computing, DNA11, London, ON, Canada, June 6-9, 2005. Revised Selected Papers. (Lecture Notes in Computer Science)","year":2006,"lang":"en","type":"book","venue":"Springer eBooks","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"DNA computing; Computer science; Library science; DNA; Computational biology; Biology; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008950769,0.001910642,0.001437056,0.001980458,0.00118916,0.003933833,0.001841962,0.001119386,0.09808287],"category_scores_gemma":[0.001467589,0.0009970141,0.0006166685,0.004243384,0.001259415,0.002870803,0.001424166,0.002363416,0.06220444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003293257,"about_ca_system_score_gemma":0.005429458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02422195,"about_ca_topic_score_gemma":0.08496656,"domain_scores_codex":[0.9994155,0.00003829381,0.00002511826,0.000102005,0.0003417347,0.00007731011],"domain_scores_gemma":[0.9989893,0.0001501932,0.00002805909,0.00008259423,0.0005080465,0.000241758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005539977,0.00002050359,0.0001051379,0.0004685827,0.00001151578,0.00004385279,0.0001343291,0.0004780113,0.001480455,0.006452292,0.8149394,0.1758105],"study_design_scores_gemma":[0.000006140044,0.00001248564,0.0002601414,0.0001907505,0.000007081532,0.0001342895,0.00004362475,0.0003628586,0.000823371,0.002811308,0.9953384,0.000009477899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002834871,0.3614068,0.1119155,0.01371965,0.02895796,0.0004309459,0.006463991,0.007216253,0.4670541],"genre_scores_gemma":[0.004723423,0.09303108,0.02563543,0.001042043,0.001472604,0.00009553385,0.003779962,0.001252952,0.8689669],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09808287,"threshold_uncertainty_score":0.3281199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007937586425214123,"score_gpt":0.2229074287134778,"score_spread":0.2149698422882637,"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."}}