{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004097459,0.0001195645,0.00007688792,0.00003602599,0.0000563554,0.00002226217,0.0001127521,0.0001475902,0.00002532426],"category_scores_gemma":[0.00001006448,0.0001022216,0.00004341663,0.00007306701,0.00001606598,0.000004426303,0.00005334691,0.00006548747,0.000008659529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001448287,"about_ca_system_score_gemma":0.0000217115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006401864,"about_ca_topic_score_gemma":0.00004335026,"domain_scores_codex":[0.9993063,0.00002032801,0.0001251224,0.0002862801,0.0001004793,0.0001615362],"domain_scores_gemma":[0.999611,7.504532e-7,0.00002723624,0.0002380995,0.00004003936,0.00008282753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000063107,0.00003105517,0.0001008383,0.00000714429,0.0000163262,1.469586e-7,0.00002435963,0.0006958382,0.9791343,0.0007664632,0.002639871,0.01652055],"study_design_scores_gemma":[0.0006532558,0.0003925055,0.002151126,0.000008378786,0.0000157285,0.00005134043,0.00003836238,0.005018531,0.9359643,0.0005751178,0.05481326,0.0003181107],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8138587,0.00005938474,0.1529968,0.0002917616,0.00005612328,0.0006695319,0.0000558985,0.00005194021,0.0319599],"genre_scores_gemma":[0.930528,0.000001845348,0.06664066,0.0005062307,0.0005100534,0.00004393031,0.0003010937,0.00001463185,0.001453574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1166693,"threshold_uncertainty_score":0.4168474,"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."}}