{"id":"W2043393386","doi":"10.1186/1752-0509-4-143","title":"Information propagation within the Genetic Network of Saccharomyces cerevisiae","year":2010,"lang":"en","type":"article","venue":"BMC Systems Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Toronto","funders":"Academy of Finland","keywords":"Saccharomyces cerevisiae; Gene regulatory network; Gene; Cluster analysis; Core (optical fiber); Computational biology; Systems biology; Biology; Microarray; Genetics; Computer science; Gene expression; Artificial intelligence","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":[0.0005527884,0.0002310046,0.0002233635,0.000975745,0.0002764345,0.0005683315,0.0003562265,0.000295337,0.0005697463],"category_scores_gemma":[0.005381466,0.0001467921,0.0002746913,0.0006041471,0.0005042761,0.000792601,0.0003148708,0.0002925291,0.00006903298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008962286,"about_ca_system_score_gemma":0.000426114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004690519,"about_ca_topic_score_gemma":0.002952826,"domain_scores_codex":[0.9997475,0.00007995598,0.00001394866,0.00007562013,0.00006260801,0.00002044194],"domain_scores_gemma":[0.9969291,0.002178691,0.0004110213,0.000136965,0.0002414982,0.000102682],"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":[0.0002832189,0.00003956311,0.03030168,0.0001655213,0.000115604,0.0002968049,0.0002759198,0.8791184,0.02531199,0.02984306,0.0004198789,0.03382836],"study_design_scores_gemma":[0.00001038524,0.00003304635,0.00864515,0.000008702581,0.00004025322,0.0001239429,0.00002829387,0.9528235,0.003958083,0.03385296,0.0004601142,0.00001556501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8497658,0.0002363046,0.1479643,0.0002109968,0.000009035616,0.00002498997,0.0003120385,0.0002045301,0.00127208],"genre_scores_gemma":[0.9865001,0.0001079078,0.01295654,0.00001267854,0.000004495981,0.00001382823,0.0001802927,0.000009856454,0.000214251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004690519,"threshold_uncertainty_score":0.009326458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006906055701127504,"score_gpt":0.2196079605086411,"score_spread":0.2127019048075136,"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."}}