{"id":"W3111915465","doi":"10.1039/d1sc00004g","title":"Modification of amyloid-beta peptide aggregation <i>via</i> photoactivation of strained Ru(<scp>ii</scp>) polypyridyl complexes","year":2021,"lang":"en","type":"article","venue":"Chemical Science","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University; Simon Fraser University","funders":"Ciência sem Fronteiras; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; National Cancer Institute; National Institutes of Health; Michael Smith Health Research BC; Compute Canada","keywords":"Peptide; Chemistry; Ligand (biochemistry); Fibril; Covalent bond; Amyloid (mycology); Biophysics; Small molecule; Stereochemistry; Biochemistry; Receptor; Biology; Organic chemistry; Inorganic chemistry","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":[0.00009648339,0.0002532194,0.0001577413,0.00008351539,0.0001095755,0.0002039268,0.0002295849,0.0002549819,0.0009300324],"category_scores_gemma":[0.0002322852,0.0001159978,0.0001286186,0.00009384384,0.0001878501,0.0001474578,0.0001411753,0.0004257604,0.0001527867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001804296,"about_ca_system_score_gemma":0.0000804364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003272968,"about_ca_topic_score_gemma":0.0003488827,"domain_scores_codex":[0.9999019,0.00001175543,0.000005867799,0.00003251541,0.0000237686,0.00002423252],"domain_scores_gemma":[0.9999161,0.00001924186,0.00003362452,0.00001077142,0.000008923897,0.00001129458],"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":[0.0000653207,0.000009971446,0.00003248746,0.00002127455,0.00000416077,0.0000443121,0.00001848351,0.0000828804,0.9987166,0.0001028781,0.00004365841,0.0008578997],"study_design_scores_gemma":[0.000007489019,0.0001241841,0.0004123349,0.000001600372,0.000003869201,0.00006629802,0.000004745795,0.0003864154,0.998517,0.00001515203,0.0004585712,0.000002400144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944022,0.000373801,0.002762252,0.00005141091,0.00002465433,0.00002170726,0.00005756376,0.00007900138,0.002227348],"genre_scores_gemma":[0.9974017,0.0001842174,0.001175957,0.0000315495,0.000006072507,0.00001285419,0.0000621893,0.00002689708,0.001098589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009300324,"threshold_uncertainty_score":0.003111303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03551825209649662,"score_gpt":0.3122873942836651,"score_spread":0.2767691421871685,"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."}}