{"id":"W2076130704","doi":"10.1016/j.biosystems.2005.09.009","title":"An analysis of the class of gene regulatory functions implied by a biochemical model","year":2005,"lang":"en","type":"article","venue":"Biosystems","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Boolean network; Gene regulatory network; Gene; Computational biology; Biology; Function (biology); Repressor; Boolean function; Class (philosophy); Gene product; Network topology; Regulation of gene expression; Genetics; Computer science; Gene expression; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002175074,0.0001505632,0.0003342839,0.0001037756,0.00005453979,0.000006790553,0.0003397657,0.0002097134,0.000009949782],"category_scores_gemma":[0.00001023844,0.0001175185,0.000430997,0.0005637335,0.0001128049,0.000003214654,0.00005887599,0.00004639083,0.000001274292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002956578,"about_ca_system_score_gemma":0.00006628768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002572957,"about_ca_topic_score_gemma":0.00007109527,"domain_scores_codex":[0.9987175,0.00008359991,0.000440048,0.0003464395,0.0002300196,0.0001823241],"domain_scores_gemma":[0.9983938,0.000005121994,0.0002741708,0.001109312,0.0001326988,0.00008485763],"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":[0.0000188396,0.00008676442,0.003882322,0.000008809955,0.0008166866,2.488282e-8,0.00002067356,0.0388609,0.9523516,0.00002265886,0.003784213,0.0001465041],"study_design_scores_gemma":[0.0001815883,0.00003815923,0.003396921,0.000005537142,0.0009129391,0.000001559767,0.00006252784,0.1066124,0.8872356,0.000001756964,0.001415837,0.0001352036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953876,0.001253124,0.002834823,0.00004886096,0.00004625601,0.0001184534,0.0001719689,0.00000864367,0.0001303197],"genre_scores_gemma":[0.9988535,0.00001456391,0.0003081598,0.0000400545,0.0001338567,0.00001148136,0.0002263593,0.00001797769,0.000394021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06775145,"threshold_uncertainty_score":0.4792267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006701873828978041,"score_gpt":0.2214289559107213,"score_spread":0.2147270820817432,"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."}}