{"id":"W2369326609","doi":"","title":"Reconstruction of genetic regulatory network from omics data","year":2010,"lang":"en","type":"article","venue":"China Journal of Bioinformatics","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Gene regulatory network; Bayesian network; Computational biology; Computer science; Biomedicine; Biological network; Artificial life; Systems biology; Biology; Gene; Theoretical computer science; Artificial intelligence; Data science; Genetics","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":[0.0007143469,0.0006708609,0.0005250203,0.002358872,0.0003398565,0.0009576616,0.0006407394,0.0006108379,0.0009590554],"category_scores_gemma":[0.003629097,0.0003091016,0.0008284442,0.001642222,0.0004283758,0.001059146,0.0005321677,0.0008438821,0.0003303838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001095675,"about_ca_system_score_gemma":0.00130154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00889775,"about_ca_topic_score_gemma":0.005968462,"domain_scores_codex":[0.999486,0.0001338936,0.00002781959,0.0001856404,0.0001204403,0.0000462488],"domain_scores_gemma":[0.9993138,0.0003302958,0.0001023353,0.0001150498,0.000102518,0.00003597066],"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":[0.0004687652,0.0001116595,0.02629337,0.0006122839,0.000177382,0.001360091,0.0003257371,0.7329649,0.0440799,0.05943193,0.004399167,0.1297748],"study_design_scores_gemma":[0.0000147287,0.00001816472,0.002678351,0.0000318547,0.00004727679,0.0001971795,0.0000621271,0.9491122,0.0102423,0.03234486,0.005225897,0.00002510083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08572002,0.0009056129,0.9024332,0.000694926,0.0000521461,0.00006065105,0.006971095,0.001723082,0.001439324],"genre_scores_gemma":[0.6126084,0.002130177,0.3691072,0.0002160881,0.00004473201,0.0001797247,0.0141309,0.0001962846,0.001386388],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00889775,"threshold_uncertainty_score":0.01769191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007905341687873928,"score_gpt":0.217805065736015,"score_spread":0.2098997240481411,"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."}}