{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000161488,0.0003327736,0.0002251258,0.0003080977,0.0003647908,0.0004102053,0.0003979163,0.0004141892,0.001015603],"category_scores_gemma":[0.000275475,0.0002192931,0.0001489127,0.0001718705,0.0007121714,0.001215519,0.0002095276,0.001051686,0.0002682566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003098971,"about_ca_system_score_gemma":0.000428205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006775454,"about_ca_topic_score_gemma":0.0008840759,"domain_scores_codex":[0.9999642,0.000004435627,0.000002000835,0.000006864703,0.000016366,0.000006137351],"domain_scores_gemma":[0.9998987,0.00003195935,0.00002024937,0.00001382524,0.00001664715,0.00001858697],"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":[0.0003693761,0.0001178029,0.002519396,0.0004010714,0.00002495969,0.001487326,0.0003030531,0.01423212,0.8805852,0.07444645,0.001342927,0.02417032],"study_design_scores_gemma":[0.0001326968,0.0006050306,0.02481458,0.0001569104,0.0001173495,0.008178963,0.001119343,0.1739798,0.3941816,0.3398654,0.05674737,0.0001009065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8585365,0.01036064,0.1116224,0.004115902,0.0002180872,0.00002333284,0.0004644626,0.0003543823,0.01430435],"genre_scores_gemma":[0.968501,0.005549587,0.02282176,0.0004451891,0.0001124904,0.000007726412,0.0003535824,0.00004319342,0.002165495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001015603,"threshold_uncertainty_score":0.003397524,"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."}}