{"id":"W2103107485","doi":"10.1039/c4cs00048j","title":"The OPEP protein model: from single molecules, amyloid formation, crowding and hydrodynamics to DNA/RNA systems","year":2014,"lang":"en","type":"review","venue":"Chemical Society Reviews","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Grand Équipement National De Calcul Intensif; Institut Universitaire de France; Centre National de la Recherche Scientifique; Alzheimer Society; Infrastructures en Biologie Santé et Agronomie; Fudan University; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Université Paris Diderot; Agence Nationale de la Recherche; National Science Foundation","keywords":"Amyloid fibril; RNA; DNA; Biophysics; Amyloid (mycology); Crowding; Chemistry; Computational biology; Nanotechnology; Biological system; Amyloid β; Materials science; Biology; Biochemistry; Neuroscience; Medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004208229,0.0004197308,0.001131587,0.000006595203,0.0002969795,0.0003530819,0.0005343844,0.0002713918,0.00003810371],"category_scores_gemma":[0.0000881396,0.000268396,0.0006423101,0.000192064,0.0001339744,0.0002229358,0.0005138923,0.0004266702,0.0003866318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005914579,"about_ca_system_score_gemma":0.00001351862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007652305,"about_ca_topic_score_gemma":0.00001181736,"domain_scores_codex":[0.9979441,0.0001182853,0.0009199989,0.0005057232,0.0001539677,0.0003579468],"domain_scores_gemma":[0.9987105,0.00008646461,0.0004814676,0.0005180397,0.00001238965,0.0001911239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001805845,0.00004866252,6.129054e-8,0.005111123,0.00006242087,3.921303e-7,0.0002348517,0.00004587718,0.1465856,0.0000370649,0.02543674,0.8224354],"study_design_scores_gemma":[0.00004062722,0.000008722863,6.77374e-8,0.004802968,0.000153338,0.000009519261,0.00001184627,0.004611944,0.0002470255,0.00001363124,0.9897873,0.0003130004],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004225096,0.9906177,0.00563754,0.0000930576,0.0001240999,0.002323035,0.00005903614,0.00003369652,0.0006893034],"genre_scores_gemma":[0.00006210412,0.9951192,0.003176477,0.0001766078,0.0001362696,0.0004791923,0.0001385931,0.00005084831,0.0006606982],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9643506,"threshold_uncertainty_score":0.9999768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02975920082067585,"score_gpt":0.2744778107450199,"score_spread":0.2447186099243441,"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."}}