{"id":"W2178728987","doi":"10.1007/978-3-642-29627-7_11","title":"LoopWeaver – Loop Modeling by the Weighted Scaling of Verified Proteins","year":2012,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Scaling; Computer science; Loop (graph theory); Algorithm; Limit (mathematics); Data mining; Mathematics; Geometry; Combinatorics","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":[0.001087023,0.0006602146,0.0007697787,0.0005979377,0.0004318752,0.000749399,0.001744833,0.0008332835,0.002646237],"category_scores_gemma":[0.004104111,0.0005137836,0.0007184497,0.0005703399,0.0008034441,0.002047202,0.0008765332,0.0008450219,0.000452396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005089716,"about_ca_system_score_gemma":0.000547118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001522265,"about_ca_topic_score_gemma":0.001229913,"domain_scores_codex":[0.9995884,0.0001690326,0.00002060431,0.00005429077,0.0001386579,0.00002896643],"domain_scores_gemma":[0.9987515,0.0005738462,0.0001238446,0.000316956,0.0001766579,0.00005715782],"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":[0.00007811349,0.00005302281,0.0003379158,0.00006254548,0.00003195723,0.00008987585,0.00008639717,0.7971268,0.005449679,0.1676077,0.0008623603,0.02821366],"study_design_scores_gemma":[0.000001906579,0.000004640847,0.00001325463,0.000001740499,0.000001427602,0.000004078302,0.000001872365,0.9787936,0.0003266493,0.02062182,0.0002269441,0.000001977083],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03830012,0.0001685724,0.9563487,0.00008657292,0.00005105382,0.00003123239,0.00003749804,0.0005075044,0.004468653],"genre_scores_gemma":[0.7145674,0.0002865545,0.2801744,0.00006138339,0.0000464341,0.0001446448,0.0001691036,0.0006124583,0.00393756],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002646237,"threshold_uncertainty_score":0.008852541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025896621554395,"score_gpt":0.2262624491405089,"score_spread":0.2160034829249649,"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."}}