{"id":"W2091905305","doi":"10.1021/cn300196n","title":"Influence of the Physiochemical Properties of Superparamagnetic Iron Oxide Nanoparticles on Amyloid β Protein Fibrillation in Solution","year":2012,"lang":"en","type":"article","venue":"ACS Chemical Neuroscience","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":159,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Royal Military College of Canada","funders":"","keywords":"Fibrillation; Nanoparticle; Superparamagnetism; Biocompatibility; Biophysics; Chemistry; Kinetics; Iron oxide nanoparticles; Surface charge; Coating; Aqueous solution; Nucleation; Chemical engineering; Materials science; Nanotechnology; Organic chemistry; Magnetization; Atrial fibrillation; Medicine; Magnetic field","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009672376,0.0000866689,0.0001349136,0.00003316257,0.00002880239,0.00000411447,0.0001236204,0.00003623822,0.000001367841],"category_scores_gemma":[0.0005964913,0.00005398107,0.00004128115,0.000323367,0.00058751,0.0001474152,0.00008538798,0.00009899602,0.000003498311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003660419,"about_ca_system_score_gemma":0.00006811797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003403588,"about_ca_topic_score_gemma":2.700804e-7,"domain_scores_codex":[0.9988562,0.00005120991,0.0001921341,0.0001698706,0.0004553059,0.0002752336],"domain_scores_gemma":[0.9995126,0.0000293534,0.00005551129,0.0002384963,0.00004763034,0.0001164442],"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":[0.0002155125,0.0003048319,0.03555232,0.00006176082,0.000004286562,5.815293e-7,0.00004701542,0.00006518305,0.9636621,0.00002626631,0.000002369762,0.00005776044],"study_design_scores_gemma":[0.0002808108,0.00009204223,0.2058392,0.000154225,0.000012879,0.000003320584,0.000005341519,0.0001855322,0.7933723,0.00001622863,0.000001238185,0.00003682913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990446,0.0002737905,1.666227e-7,0.0002291687,0.000008591488,0.0004128077,0.000002363207,0.000008839064,0.00001964656],"genre_scores_gemma":[0.9998674,0.000009816305,0.00002358815,0.00005594033,0.00001144326,0.00001985782,8.1239e-7,0.000005828212,0.000005361341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1702898,"threshold_uncertainty_score":0.2201284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02825292449377394,"score_gpt":0.2731417896870359,"score_spread":0.244888865193262,"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."}}