{"id":"W1721844931","doi":"10.3233/isb-00080","title":"Making the Body Plan: Precision in the Genetic Hierarchy of Drosophila Embryo Segmentation","year":2003,"lang":"en","type":"article","venue":"In Silico Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology; University of British Columbia","funders":"National Center for Research Resources; National Institutes of Health; Russian Foundation for Basic Research","keywords":"Body plan; Drosophila (subgenus); Segmentation; Embryo; Hierarchy; Plan (archaeology); Biology; Artificial intelligence; Computer science; Genetics; Computational biology; Gene; Political science","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":[0.0004806677,0.0002245979,0.0002895865,0.0004517669,0.0001624899,0.0005263421,0.0002317529,0.0002935776,0.0002844087],"category_scores_gemma":[0.003526712,0.0002870188,0.0001073678,0.0003596547,0.0005190797,0.0003970596,0.0003353316,0.0003489268,0.00008730213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004323048,"about_ca_system_score_gemma":0.0002068309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000968225,"about_ca_topic_score_gemma":0.001695501,"domain_scores_codex":[0.9994606,0.00007952057,0.00002944172,0.0001535148,0.0002135683,0.00006327948],"domain_scores_gemma":[0.9977264,0.001119635,0.0006060401,0.0002878123,0.0001615249,0.00009871599],"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":[0.0003547035,0.00003833179,0.06631013,0.00006399446,0.00005236402,0.0001033363,0.0002184387,0.02821504,0.8829409,0.00112913,0.00009680187,0.02047677],"study_design_scores_gemma":[0.00002390994,0.0002286607,0.5281377,0.00001798274,0.00005108006,0.000388239,0.0001402293,0.1606255,0.3066981,0.002889114,0.0007010536,0.0000985056],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914753,0.00006009817,0.008059913,0.00002123588,0.000001662394,0.000003022893,0.00008025712,0.00007816049,0.0002203528],"genre_scores_gemma":[0.9966727,0.00002873717,0.003034407,0.000007193988,0.000001358427,0.00000520393,0.0001182338,0.00002357855,0.0001084424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000968225,"threshold_uncertainty_score":0.003136575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856708599174765,"score_gpt":0.2881825915025893,"score_spread":0.2696155055108417,"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."}}