{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001380299,0.0003976966,0.0002738334,0.00023085,0.0001226393,0.0002109118,0.0003573562,0.0002731372,0.0007431223],"category_scores_gemma":[0.0001083783,0.000188594,0.0002075336,0.0001024409,0.0002068289,0.0002006721,0.0002671828,0.0004552857,0.0002089116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002446635,"about_ca_system_score_gemma":0.0002367325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000637994,"about_ca_topic_score_gemma":0.001249514,"domain_scores_codex":[0.9999586,0.000006717396,0.000003639203,0.00000986772,0.00001034812,0.00001072968],"domain_scores_gemma":[0.9999475,0.000008087004,0.0000173438,0.000006158813,0.000005582601,0.00001527935],"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":[0.0002942212,0.000137348,0.0006969959,0.00006379408,0.00001563747,0.0001806563,0.00002311126,0.001788088,0.9920242,0.0006130401,0.0001128031,0.004050222],"study_design_scores_gemma":[0.0002989535,0.003469964,0.005426098,0.00003423307,0.000223181,0.00148829,0.0000833344,0.03374886,0.9451478,0.001574081,0.008478682,0.00002657919],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815784,0.001131073,0.01519578,0.0001463323,0.00003601305,0.00008584599,0.0002592677,0.0001867001,0.001380656],"genre_scores_gemma":[0.9877,0.001487924,0.008611364,0.00003982368,0.000008499929,0.00009409107,0.0002875589,0.00002769115,0.001743024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007431223,"threshold_uncertainty_score":0.002485991,"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."}}