{"id":"W2146325624","doi":"10.1109/csb.2005.9","title":"A tree-decomposition approach to protein structure prediction","year":2005,"lang":"en","type":"article","venue":"","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tree decomposition; Decomposition; Time complexity; Computational complexity theory; Tree (set theory); Decomposition method (queueing theory); Graph; Algorithm; Gomory–Hu tree; Spanning tree; Mathematics; Tree structure; Computer science; Combinatorics; Discrete mathematics; K-ary tree; Line graph; Binary tree","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":[0.0008135817,0.0007544664,0.001265865,0.001505776,0.0006032657,0.0007993002,0.001098214,0.0006992946,0.001664638],"category_scores_gemma":[0.002257339,0.0005561368,0.001589581,0.002018467,0.0006639779,0.001805896,0.0008253247,0.001383316,0.0008693414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009232915,"about_ca_system_score_gemma":0.00123454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004451371,"about_ca_topic_score_gemma":0.003988846,"domain_scores_codex":[0.9993087,0.0002153171,0.00003350755,0.0001429934,0.0002413554,0.00005814185],"domain_scores_gemma":[0.9991505,0.0003897082,0.00007339446,0.0001196074,0.0002121269,0.00005466351],"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":[0.0001223746,0.000156171,0.001147635,0.0003063134,0.0001254201,0.0001458631,0.0001429771,0.5491733,0.01725333,0.07517067,0.007938383,0.3483176],"study_design_scores_gemma":[0.00001127548,0.00002233659,0.0001325407,0.00001246721,0.00001396634,0.00005292825,0.00001439512,0.9591678,0.002026586,0.03534693,0.003189059,0.000009875384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001877878,0.0002083803,0.9971214,0.00007484299,0.0000132603,0.00001360111,0.00004131244,0.0002778186,0.0003714806],"genre_scores_gemma":[0.05109004,0.0008142536,0.9462305,0.00008428983,0.00004097113,0.00009770223,0.0005496791,0.0001403544,0.0009522354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004451371,"threshold_uncertainty_score":0.008850932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003761031251214985,"score_gpt":0.2212335817897579,"score_spread":0.2174725505385429,"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."}}