{"id":"W2981151691","doi":"10.1016/j.str.2019.09.003","title":"Insight into the Structure of the “Unstructured” Tau Protein","year":2019,"lang":"en","type":"article","venue":"Structure","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Jewish General Hospital; Genome British Columbia; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; Warren Y. Soper Charitable Trust; Genome British Columbia; Fondation De Famille Alvin Segal; National Institute of General Medical Sciences; Leading Edge Endowment Fund; Genome Canada; McGill University","keywords":"Protein structure; Protein folding; Globular protein; Protein structure prediction; Molecular dynamics; Chemistry; Protein secondary structure; Molten globule; Crystallography; Biophysics; Computational chemistry; Biology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006408916,0.0003249563,0.0002508725,0.00003373576,0.0001766098,0.00003420542,0.0009100237,0.0004201571,0.0001893428],"category_scores_gemma":[0.0001139863,0.0001647012,0.0001916086,0.0002706661,0.0002767963,0.000007529327,0.0003030811,0.0004368243,0.000002357441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002039911,"about_ca_system_score_gemma":0.0001969721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004448414,"about_ca_topic_score_gemma":0.0003194276,"domain_scores_codex":[0.9984539,0.0001454002,0.0002943014,0.0004500749,0.0003483994,0.0003079568],"domain_scores_gemma":[0.9981936,0.00001131669,0.0002503576,0.001355898,0.0001312475,0.0000575301],"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":[0.00004898168,0.000003306829,0.003385707,0.0000528182,0.00007052087,4.613435e-7,0.0004979036,0.0002573331,0.9868861,0.007130896,0.0001478209,0.001518179],"study_design_scores_gemma":[0.0004973238,0.0001028373,0.009072886,0.00002591396,0.00002998376,0.00004379109,0.0001191241,0.00002015032,0.9287521,0.02263725,0.03842542,0.0002732056],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960772,0.0008051491,0.00008547833,0.0002198374,0.000714313,0.0009546708,0.0001123697,0.00001335222,0.001017633],"genre_scores_gemma":[0.9975649,0.000008921195,0.00112283,0.0003557156,0.0002783378,0.000004544057,0.00006704553,0.00003958435,0.0005581421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05813395,"threshold_uncertainty_score":0.6716322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001847843667578618,"score_gpt":0.1950300475506812,"score_spread":0.1931822038831026,"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."}}