{"id":"W4403203175","doi":"10.1093/nar/gkae863","title":"SubCELL: the landscape of subcellular compartment-specific molecular interactions","year":2024,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"RNA and protein synthesis mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Key Research and Development Program of China; Shenzhen Bay Laboratory; Zhejiang University; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Biology; Computational biology; Compartment (ship); Subcellular localization; Genetics; Gene","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":[0.000374527,0.0007057237,0.0009552308,0.005732809,0.0007030499,0.003152885,0.001369102,0.0007880065,0.005220468],"category_scores_gemma":[0.00133368,0.0004249934,0.0007139317,0.005974751,0.0005309446,0.00323561,0.002049487,0.0006836578,0.003994398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007230493,"about_ca_system_score_gemma":0.001286519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004028254,"about_ca_topic_score_gemma":0.004456473,"domain_scores_codex":[0.9995527,0.00004026655,0.00005424117,0.0002142855,0.00009010849,0.00004845917],"domain_scores_gemma":[0.9990453,0.0002422378,0.000203656,0.0002980101,0.0001129674,0.00009773683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001448819,0.0002431543,0.08635817,0.006087428,0.0005128246,0.00450267,0.00300363,0.02424307,0.1892048,0.1176051,0.06757189,0.4992184],"study_design_scores_gemma":[0.00004754603,0.0001932419,0.05161182,0.0009408653,0.000559515,0.007170574,0.001861474,0.05085767,0.05644212,0.1163265,0.7137506,0.0002381214],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.2646343,0.02412787,0.392849,0.001182781,0.0001865975,0.0003207497,0.2327867,0.0254698,0.05844222],"genre_scores_gemma":[0.4101565,0.02140364,0.2340693,0.000568794,0.0001363592,0.0004697232,0.3219951,0.002152371,0.009048294],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.005732809,"threshold_uncertainty_score":0.01746422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04322736881873866,"score_gpt":0.3313333829929336,"score_spread":0.2881060141741949,"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."}}