{"id":"W4388722600","doi":"10.1021/acschemneuro.3c00576","title":"Small Molecules <i>N</i>-Phenylbenzofuran-2-carboxamide and <i>N</i>-Phenylbenzo[<i>b</i>]thiophene-2-carboxamide Promote Beta-Amyloid (Aβ42) Aggregation and Mitigate Neurotoxicity","year":2023,"lang":"en","type":"article","venue":"ACS Chemical Neuroscience","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Research, Innovation and Science; Canada Foundation for Innovation; Ontario Research Foundation","keywords":"Fibrillogenesis; Cytotoxicity; Chemistry; Neurotoxicity; Viability assay; Hippocampal formation; Biophysics; In vitro; Trypan blue; Carboxamide; Biochemistry; Toxicity; Biology; Neuroscience","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":[0.0003666686,0.0005285619,0.0005883932,0.0002282483,0.0003405073,0.0002019811,0.000345936,0.0001725634,0.00000809119],"category_scores_gemma":[0.0007139182,0.0004616155,0.000144104,0.001208157,0.001078877,0.0003480884,0.0005228341,0.0005246431,0.00003863732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005306282,"about_ca_system_score_gemma":0.0001765257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005930681,"about_ca_topic_score_gemma":0.000004317053,"domain_scores_codex":[0.995802,0.0001452739,0.0005144006,0.001451261,0.0009832486,0.001103831],"domain_scores_gemma":[0.997542,0.0002673917,0.0001572554,0.0006665437,0.0001481187,0.001218701],"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":[0.0002390077,0.0002582403,0.01169187,0.0001894222,0.0001494217,0.0008205389,0.0001053792,0.000006776508,0.983389,0.0001492052,0.0001360357,0.002865167],"study_design_scores_gemma":[0.002952651,0.0005370223,0.06366871,0.0002040611,0.0004218809,0.0004268092,0.0000382853,0.004592286,0.9247276,0.001406257,0.0004019415,0.0006225284],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941994,0.001045516,0.00002655646,0.002409766,0.000120976,0.001252247,0.00007315452,0.0003988299,0.0004735797],"genre_scores_gemma":[0.9963157,0.0009117884,0.0005021594,0.001801205,0.0001026128,0.0001514195,0.00005891551,0.00007544067,0.00008077171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05866137,"threshold_uncertainty_score":0.9997836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0389414597663494,"score_gpt":0.2814786793501998,"score_spread":0.2425372195838504,"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."}}