{"id":"W2806602944","doi":"10.1016/j.celrep.2018.04.097","title":"Modeling Late-Onset Sporadic Alzheimer’s Disease through BMI1 Deficiency","year":2018,"lang":"en","type":"article","venue":"Cell Reports","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"Canadian Institutes of Health Research; Université de Montréal","keywords":"Neurodegeneration; BMI1; Biology; Frontotemporal dementia; Alzheimer's disease; Induced pluripotent stem cell; Dementia; Cancer research; Neuroscience; Genetics; Medicine; Disease; Stem cell; Internal medicine; Gene","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":[0.0002074425,0.0001461789,0.0001059342,0.00002482704,0.0001342884,0.00002692586,0.0000867428,0.0001043871,0.0000427553],"category_scores_gemma":[0.00005710679,0.000141772,0.00008592449,0.00007941175,0.00007966851,0.000005202387,0.00007501789,0.00005440857,0.00002268167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007468525,"about_ca_system_score_gemma":0.0001294982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004147056,"about_ca_topic_score_gemma":0.00001070812,"domain_scores_codex":[0.998798,0.00002739033,0.0003094288,0.0004559841,0.0001613839,0.0002478828],"domain_scores_gemma":[0.9990439,0.000003635497,0.0001179004,0.0005760745,0.0001245203,0.0001339013],"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":[0.0002588593,0.0006889846,0.1728359,0.00009661231,0.0001029404,0.000701822,0.0006676997,0.02604154,0.789637,0.00009061545,0.00351395,0.005364038],"study_design_scores_gemma":[0.0003685346,0.0003841397,0.006593151,0.00002749775,0.0001991629,0.00003782467,0.00005339922,0.01135473,0.932225,0.006959514,0.04102017,0.0007769073],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972401,0.008789647,0.009639659,0.00003321426,0.0004025003,0.0001502661,0.000005025381,0.00002006946,0.008558623],"genre_scores_gemma":[0.9975347,0.0003763543,0.000974935,0.0001089198,0.0003048144,0.000009220592,0.0001644255,0.00002763315,0.0004990119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1662427,"threshold_uncertainty_score":0.5781295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02570035103552851,"score_gpt":0.2777684543560511,"score_spread":0.2520681033205225,"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."}}