{"id":"W2955971475","doi":"10.3390/e21070662","title":"Entropy and Information within Intrinsically Disordered Protein Regions","year":2019,"lang":"en","type":"article","venue":"Entropy","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Conformational ensembles; Conformational entropy; Entropy (arrow of time); Intrinsically disordered proteins; Sequence (biology); Computer science; Biological system; Protein structure; Computational biology; Statistical physics; Physics; Chemistry; Biology; Biophysics; Molecule; Thermodynamics; 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":[0.00005212927,0.0001055575,0.00009279967,0.00002951628,0.00004335535,0.00003677943,0.00009109062,0.0001027848,0.00001874504],"category_scores_gemma":[0.00005919749,0.00009095888,0.00003373997,0.00004877175,0.0000413415,0.00001847784,0.0000848844,0.00008345158,0.00003879717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008251336,"about_ca_system_score_gemma":0.00003752377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009846583,"about_ca_topic_score_gemma":0.000006359474,"domain_scores_codex":[0.9994296,0.00002470237,0.0001529444,0.0001517989,0.00009364687,0.0001473011],"domain_scores_gemma":[0.9995803,0.000003172454,0.00007860347,0.0002387307,0.00004124922,0.00005797575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002930196,0.0000298208,0.00404216,0.00004784749,0.00005437886,0.000001430909,0.0001914714,0.00006927706,0.8029836,0.1885927,0.0006048134,0.003089395],"study_design_scores_gemma":[0.008276674,0.002390832,0.01859319,0.0001034831,0.00006847596,0.0001045693,0.0004984117,0.004331367,0.4507623,0.03638697,0.4769623,0.001521474],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916018,0.0001250777,0.006451921,0.0004194239,0.0001077681,0.0004786428,0.00001126286,0.00001880203,0.0007852928],"genre_scores_gemma":[0.9962758,0.0000431093,0.002689012,0.0003134687,0.0000824641,0.00002286771,0.000127668,0.000008587034,0.0004370128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4763574,"threshold_uncertainty_score":0.3709195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002236243308019332,"score_gpt":0.1913433159782955,"score_spread":0.1891070726702762,"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."}}