{"id":"W4380870251","doi":"10.2144/btn-2023-0039","title":"Multiscale Computational Modeling Offers Key to Understanding Molecular Logic Underpinning Development and Disease","year":2023,"lang":"en","type":"article","venue":"BioTechniques","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Royal Academy of Engineering; Michael Smith Health Research BC","keywords":"Underpinning; Key (lock); Development (topology); Computer science; Computational biology; Data science; Biology; Engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001751899,0.000137937,0.0001099883,0.0001390892,0.0001369726,0.00003373469,0.00009489796,0.00009823302,0.000002014819],"category_scores_gemma":[0.00003052733,0.0001444077,0.00005057658,0.0002213228,0.00003444339,0.000003057969,0.0001772065,0.00004724713,0.000005162991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006201923,"about_ca_system_score_gemma":0.00007691933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004583359,"about_ca_topic_score_gemma":0.000005464595,"domain_scores_codex":[0.9990844,0.00003440668,0.0001626185,0.0003553995,0.0001481084,0.0002150595],"domain_scores_gemma":[0.9995799,0.000006620706,0.00003083819,0.0001580004,0.00002812964,0.0001964872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009342067,0.00004773285,0.002619356,0.00008363314,0.0002434533,0.0000461264,0.0002984491,0.689959,0.2945361,0.00702208,0.002171617,0.002879114],"study_design_scores_gemma":[0.0005909561,0.0001958053,0.002902349,0.0002187776,0.0001106876,0.00001051333,0.0005151147,0.6996049,0.2594391,0.03030345,0.004727498,0.001380833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4312319,0.0001590001,0.5678548,0.0004969567,0.00001266415,0.0001163979,0.000002620076,0.0000856746,0.00003989122],"genre_scores_gemma":[0.9530814,0.00003969088,0.04629736,0.0003292993,0.00003101472,0.0000243081,0.0001211738,0.00002227314,0.00005350891],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5218494,"threshold_uncertainty_score":0.5888775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04504704135137197,"score_gpt":0.2834783786868211,"score_spread":0.2384313373354491,"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."}}