{"id":"W2003464575","doi":"10.1007/s00726-010-0721-1","title":"iFC2: an integrated web-server for improved prediction of protein structural class, fold type, and secondary structure content","year":2010,"lang":"en","type":"article","venue":"Amino Acids","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Web server; Computer science; In silico; Sequence (biology); Protein structure prediction; Similarity (geometry); Structural similarity; Class (philosophy); Data mining; Protein secondary structure; Artificial intelligence; Computational biology; Protein structure; Biology; The Internet; Image (mathematics); Genetics; Biochemistry; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002097073,0.003489327,0.00276919,0.004498252,0.001228495,0.001687492,0.003373323,0.001485084,0.01894587],"category_scores_gemma":[0.003661151,0.0009829857,0.001733898,0.002765195,0.0002606227,0.001413489,0.001028835,0.00190748,0.01443315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001338243,"about_ca_system_score_gemma":0.002284951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006178251,"about_ca_topic_score_gemma":0.007775447,"domain_scores_codex":[0.9992766,0.00008085706,0.00006191655,0.0001851527,0.0002986043,0.00009687988],"domain_scores_gemma":[0.9986383,0.0003616236,0.0001114637,0.000226943,0.0004903224,0.0001712887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007422388,0.001200442,0.01797731,0.002645677,0.001046037,0.0008725866,0.0002202056,0.01052319,0.1583212,0.002932647,0.4747157,0.3221227],"study_design_scores_gemma":[0.001887345,0.0005142113,0.03517152,0.0004125982,0.001313929,0.002201968,0.0001152488,0.4706829,0.2281286,0.006795517,0.2522739,0.0005022943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.08329104,0.002375096,0.2478501,0.0004062174,0.0006046852,0.0005431255,0.2402431,0.4163246,0.008361965],"genre_scores_gemma":[0.07055253,0.0006428714,0.3508357,0.0002958843,0.000171029,0.0009701396,0.5488322,0.01899869,0.008701033],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01894587,"threshold_uncertainty_score":0.06338024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008275257855806557,"score_gpt":0.2324697708959622,"score_spread":0.2241945130401556,"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."}}