{"id":"W4400760274","doi":"","title":"Gene regulatory network structure help us understandhow polygenic phenotypes adapt","year":2024,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Phenotype; Gene regulatory network; Computational biology; Gene; Computer science; Genetics; Biology; Gene expression","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":[0.0002793987,0.0005221624,0.0004779598,0.001293713,0.0004258848,0.0008828629,0.0003416333,0.0005624322,0.008894587],"category_scores_gemma":[0.001434217,0.0002217893,0.0005859528,0.0009815244,0.0004712864,0.001248624,0.0004629995,0.0006900816,0.0007215607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007133394,"about_ca_system_score_gemma":0.0003107918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002410274,"about_ca_topic_score_gemma":0.004569551,"domain_scores_codex":[0.9998398,0.00003213806,0.000008309186,0.00007520902,0.00002406284,0.00002036626],"domain_scores_gemma":[0.9992759,0.0003336295,0.0001475945,0.0001084464,0.0000670245,0.00006744885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003668343,0.0002984455,0.2684277,0.0006697309,0.0006198365,0.0008047489,0.0005010932,0.08485716,0.4322775,0.07934263,0.005214141,0.1266202],"study_design_scores_gemma":[0.00006175684,0.0001906522,0.3921845,0.0000943595,0.0004303667,0.00090406,0.0005968854,0.3245142,0.0525912,0.2122306,0.0161096,0.00009185295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8129418,0.001937931,0.1644789,0.001719364,0.00009880218,0.0000692966,0.005377059,0.001343048,0.01203371],"genre_scores_gemma":[0.9752876,0.001002022,0.01725177,0.0002335718,0.000054217,0.00004603598,0.002769934,0.0001870115,0.003167988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008894587,"threshold_uncertainty_score":0.02975535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006427032862994494,"score_gpt":0.1950892459814923,"score_spread":0.1886622131184978,"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."}}