{"id":"W4405860005","doi":"10.5376/cmb.2024.14.0010","title":"Advances in Causal Inference Methods for Biological Network Analysis","year":2024,"lang":"en","type":"article","venue":"Computational Molecular Biology","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Causal inference; Inference; Computer science; Computational biology; Artificial intelligence; Biology; Econometrics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001194678,0.0001943864,0.0003571368,0.0004818173,0.00006556182,0.0001206978,0.0005956169,0.0001228242,0.00001115509],"category_scores_gemma":[0.0004076735,0.0001738811,0.000238687,0.002311711,0.0001099824,0.0002414837,0.0002725965,0.0001635164,0.0000102673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006735027,"about_ca_system_score_gemma":0.0002065884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005418344,"about_ca_topic_score_gemma":0.000005365173,"domain_scores_codex":[0.9974952,0.0008408986,0.0004142127,0.0007735767,0.0001091879,0.0003669747],"domain_scores_gemma":[0.9946947,0.004821663,0.00006702005,0.0002166432,0.0001297487,0.00007023145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004656781,0.00001242643,0.000391287,0.000006675457,0.00006024224,0.000006917038,0.00002161703,0.4435731,0.0001033121,0.4701047,0.000007616637,0.08570744],"study_design_scores_gemma":[0.00007398199,0.00005455867,0.001734279,0.000007213252,0.00001506562,0.000004242845,0.000001107607,0.499817,0.00002084813,0.4966247,0.001536264,0.0001106929],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001979507,0.006724897,0.9893717,0.0006595075,0.000597123,0.0002433989,0.00001306293,0.0001466087,0.0002641862],"genre_scores_gemma":[0.3886605,0.00002519875,0.6107789,0.0002859381,0.00005481661,0.00007285086,0.0001127195,0.000005976753,0.000003099873],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.386681,"threshold_uncertainty_score":0.7090666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03595013738816205,"score_gpt":0.4569234671809553,"score_spread":0.4209733297927933,"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."}}