{"id":"W4406741911","doi":"10.1016/j.xhgg.2025.100409","title":"Caution when using network partners for target identification in drug discovery","year":2025,"lang":"en","type":"article","venue":"Human Genetics and Genomics Advances","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University; Jewish General Hospital","funders":"Medical Research Council; Fonds de Recherche du Québec - Santé; National Institutes of Health; Fondation de l'Hôpital général juif; Medical Research Council Canada; Public Health Agency; European Commission; King's College London; Jewish General Hospital; National Institute for Health and Care Research; Public Health Agency of Canada; McGill University; Génome Québec; Canada Foundation for Innovation; Canadian Institutes of Health Research; Compute Canada; Cancer Research UK; Wellcome Trust","keywords":"Drug discovery; Identification (biology); Drug; Computational biology; Computer science; Data science; Medicine; Pharmacology; Bioinformatics; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004537927,0.000103088,0.0001311173,0.0001054077,0.0002043124,0.0002701924,0.0002625401,0.00002641974,4.593293e-7],"category_scores_gemma":[0.00001397394,0.0001154153,0.00003465944,0.0001601566,0.00004720525,0.0003578389,0.0001563022,0.00004904987,2.682593e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007812694,"about_ca_system_score_gemma":0.00008533089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001288459,"about_ca_topic_score_gemma":0.0001035119,"domain_scores_codex":[0.9990259,0.00006145982,0.0002879937,0.0003546439,0.00008039202,0.0001895824],"domain_scores_gemma":[0.9994852,0.0001295687,0.000108164,0.0002060785,0.00004514764,0.00002586719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007274601,0.00002066565,0.001837381,0.00003852785,0.000009962037,4.359796e-7,0.0003942669,0.7939362,0.001641905,0.1888272,0.0001088399,0.01317736],"study_design_scores_gemma":[0.0001957776,0.000009708509,0.006782556,0.00002015399,0.000006048902,5.096798e-7,0.00003464473,0.4653163,0.000874323,0.5166399,0.0100034,0.0001167104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2919084,0.004235887,0.7030831,0.0001238662,0.0003203473,0.0002136455,0.000005369208,0.00001091673,0.00009855122],"genre_scores_gemma":[0.6402575,0.0003453264,0.3587776,0.000151729,0.000114058,0.00003291321,0.00002269132,0.000008923238,0.0002891514],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3483492,"threshold_uncertainty_score":0.4706499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0284690901370335,"score_gpt":0.3528599769450116,"score_spread":0.3243908868079781,"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."}}