{"id":"W7098360622","doi":"","title":"Acknowledgements","year":2009,"lang":"en","type":"article","venue":"","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phone; Nice; Minor (academic); Work (physics); Sister; Power (physics); George (robot)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003994553,0.00003950478,0.00003023047,0.000005335809,0.00002395071,0.000006732738,0.00006993145,0.00003628112,0.0002608854],"category_scores_gemma":[0.00003818484,0.00002743645,0.00002553509,0.0000231274,0.000007812981,3.173744e-7,0.00002767322,0.00001629287,0.0002514303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001228389,"about_ca_system_score_gemma":0.000003717492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.612665e-8,"about_ca_topic_score_gemma":6.809896e-7,"domain_scores_codex":[0.9997243,0.000007929095,0.00004709476,0.0001077328,0.00002332645,0.00008966163],"domain_scores_gemma":[0.999854,0.000001030217,0.000008625136,0.00007859134,0.00003289894,0.00002480019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001257139,0.00006975596,0.001884351,6.939447e-7,0.000006251247,7.25613e-7,0.000002261345,0.0000024502,0.8665087,0.0001884605,0.05944269,0.0718811],"study_design_scores_gemma":[0.0003962102,0.001187186,0.06044479,0.000003577627,0.000004094853,0.000003162612,0.00001350158,0.00005282111,0.3259268,0.001131314,0.6106123,0.0002243278],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8490731,0.000102727,0.001802673,0.0001308411,0.00009742874,0.00003644172,2.828888e-7,0.00001753931,0.1487389],"genre_scores_gemma":[0.9899808,0.000007959324,0.0009411562,0.001286382,0.0002200663,3.781416e-7,0.0000123039,0.000001231538,0.007549723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5511696,"threshold_uncertainty_score":0.3231711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256855112726383,"score_gpt":0.2662510260961945,"score_spread":0.2536824749689306,"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."}}