{"id":"W2110037767","doi":"10.1093/protein/gzi039","title":"Large-scale modelling as a route to multiple surface comparisons of the CCP module family","year":2005,"lang":"en","type":"article","venue":"Protein Engineering Design and Selection","topic":"Complement system in diseases","field":"Immunology and Microbiology","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Medical Research Council; Wellcome Trust","keywords":"Complement (music); Repertoire; Computational biology; Template; Complement system; Surface protein; Computer science; Scale (ratio); Biology; Genetics; Antibody; Phenotype; Geography; Physics; Cartography; Programming language; 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":[0.0008985166,0.0007999193,0.0008307156,0.0008783014,0.0006795151,0.0009038829,0.001035877,0.0006680344,0.003471398],"category_scores_gemma":[0.002428296,0.0003453879,0.001096713,0.001020092,0.0002895622,0.0008250028,0.000823361,0.0008208147,0.0005531763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005970969,"about_ca_system_score_gemma":0.0005034212,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009483195,"about_ca_topic_score_gemma":0.0008997914,"domain_scores_codex":[0.9994966,0.0002057945,0.00002732487,0.00008374281,0.0001349187,0.00005164842],"domain_scores_gemma":[0.9993494,0.0003172498,0.00006221022,0.0001531186,0.00008495566,0.0000330361],"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":[0.0008094553,0.0003075465,0.007313667,0.0003366036,0.0002023875,0.0009247425,0.0009474264,0.6815053,0.2156952,0.0193448,0.001527131,0.07108574],"study_design_scores_gemma":[0.0000370069,0.0002206861,0.002284841,0.00001091744,0.00003515397,0.000143407,0.0001634943,0.961438,0.02468577,0.006741498,0.004218291,0.00002099468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7642968,0.0001460571,0.2291577,0.0001080991,0.00002300655,0.0001239855,0.0006845327,0.00155471,0.003905129],"genre_scores_gemma":[0.8448359,0.0001612349,0.1501964,0.00002608472,0.000007979775,0.000325493,0.002593021,0.0006057236,0.00124813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003471398,"threshold_uncertainty_score":0.01161301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01784707529397751,"score_gpt":0.2170227470767421,"score_spread":0.1991756717827646,"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."}}