{"id":"W2082617895","doi":"10.1002/prot.23196","title":"Target highlights in CASP9: Experimental target structures for the critical assessment of techniques for protein structure prediction","year":2011,"lang":"en","type":"article","venue":"Proteins Structure Function and Bioinformatics","topic":"Endoplasmic Reticulum Stress and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Structural Genomics Consortium","funders":"U.S. National Library of Medicine; National Institute of General Medical Sciences; National Cancer Institute","keywords":"Computational biology; CASP; Protein structure prediction; Docking (animal); Protein structure; Biology; Structural biology; Biochemistry","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":[0.01510143,0.002404609,0.001215976,0.002476725,0.001400582,0.005164786,0.004019919,0.003319221,0.07300105],"category_scores_gemma":[0.03167451,0.0008635268,0.001436815,0.002087058,0.001106507,0.004971992,0.004121112,0.004190513,0.02371403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136285,"about_ca_system_score_gemma":0.002612183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000376832,"about_ca_topic_score_gemma":0.0004319262,"domain_scores_codex":[0.9912313,0.002662451,0.0005771159,0.0007248119,0.004249313,0.0005550475],"domain_scores_gemma":[0.9744632,0.0110739,0.001562936,0.003159318,0.007514679,0.002225982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003465624,0.0003678584,0.003386467,0.002046518,0.0003384297,0.001492197,0.0003889266,0.007220616,0.02602335,0.02063565,0.7563707,0.1782638],"study_design_scores_gemma":[0.00205376,0.001999267,0.006145819,0.0009927588,0.000341121,0.003783508,0.0003983748,0.0839986,0.1284574,0.06175021,0.7097348,0.0003443917],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03859263,0.008752199,0.6738994,0.02916467,0.01902133,0.002111088,0.0256412,0.1248544,0.07796311],"genre_scores_gemma":[0.261156,0.00623053,0.5541959,0.006836333,0.008798565,0.003298272,0.08387027,0.04123954,0.03437462],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07300105,"threshold_uncertainty_score":0.2442129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066690013719796,"score_gpt":0.2628143995321657,"score_spread":0.2521474993949677,"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."}}