{"id":"W2088551725","doi":"10.1117/12.488920","title":"Noise in the segmentation gene network of Drosophila with implications for mechanisms of body axis specification","year":2003,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Developmental Biology and Gene Regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology; University of British Columbia","funders":"","keywords":"Segmentation; Drosophila melanogaster; Noise (video); Mechanism (biology); Biology; Computer science; Gene; Genetics; Artificial intelligence; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005323767,0.0001353025,0.0001756643,0.00003149424,0.00004583432,0.00001139731,0.0003184546,0.000126286,0.000001524647],"category_scores_gemma":[0.0001317136,0.00009990062,0.0001773351,0.000190009,0.0001229622,0.00002515774,0.00002915165,0.00006298898,8.510166e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003215645,"about_ca_system_score_gemma":0.000032525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001649179,"about_ca_topic_score_gemma":3.308397e-7,"domain_scores_codex":[0.9990391,5.588466e-8,0.0004210875,0.0002127733,0.0001692635,0.0001576997],"domain_scores_gemma":[0.9988892,0.00004453821,0.0002743081,0.00005370284,0.0007135779,0.00002466352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009641426,0.00006898147,0.001405379,0.00008514606,0.0001116313,2.966232e-9,0.00005880256,0.0002185673,0.7233675,0.2742838,0.0002158551,0.00008791615],"study_design_scores_gemma":[0.0007307344,0.00040103,0.01744315,0.00005180789,0.00005861117,0.000007279465,0.0004245227,0.0004287993,0.973873,0.00599103,0.0004653188,0.0001247719],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966602,0.00007644511,0.001454698,0.0007093013,0.00005268545,0.0006537409,0.00004003135,0.000004917484,0.0003480069],"genre_scores_gemma":[0.8982316,0.00006442748,0.1012627,0.00004236576,0.00007996715,0.0001932743,0.00008028546,0.0000157804,0.00002965799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2682928,"threshold_uncertainty_score":0.4073829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009169111992646807,"score_gpt":0.2272286446537919,"score_spread":0.2180595326611451,"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."}}