{"id":"W2131471320","doi":"10.1186/1750-1326-6-21","title":"Transcriptional Regulation of TMP21 by NFAT","year":2011,"lang":"en","type":"article","venue":"Molecular Neurodegeneration","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; Chongqing Science and Technology Commission; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Michael Smith Health Research BC","keywords":"NFAT; Reporter gene; Gene knockdown; Gene; Gene expression; Biology; Promoter; Regulation of gene expression; Transcriptional regulation; Transcription factor; Molecular biology; Genetics","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":[0.00004439736,0.00008728626,0.0001072685,0.00006509318,0.00003679821,0.000005722374,0.00003223048,0.00004253921,0.0002260752],"category_scores_gemma":[0.00001313589,0.00008094579,0.00007861248,0.0001045077,0.00003741349,0.00007840547,0.000006485952,0.0000493464,0.00002175058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001790253,"about_ca_system_score_gemma":0.00005268101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002694493,"about_ca_topic_score_gemma":0.000001639296,"domain_scores_codex":[0.999168,0.00005602693,0.0001609693,0.0001820657,0.0003133523,0.0001195702],"domain_scores_gemma":[0.9995553,0.000003808916,0.00004064105,0.0001796319,0.0001106869,0.0001098616],"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":[0.0002213899,0.0003870759,0.002266489,0.00002005972,0.0003696521,0.00002642291,0.000093643,0.00001064506,0.9936953,0.001402623,0.0005684204,0.0009383414],"study_design_scores_gemma":[0.0009599534,0.0003158468,0.04809401,0.00001057263,0.0001798398,0.00001308134,0.000003900652,0.000959605,0.9489952,0.0002840153,0.0001192697,0.00006465917],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914378,0.001294873,0.005206791,0.0001581198,0.00004465545,0.0002940198,0.00002501089,0.00002697654,0.001511753],"genre_scores_gemma":[0.9984711,0.00002813039,0.0008233307,0.0001379038,0.00002181452,0.0000207197,0.0004051028,0.00001655874,0.00007534053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04582752,"threshold_uncertainty_score":0.3300874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03216171236089943,"score_gpt":0.2634882664704336,"score_spread":0.2313265541095341,"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."}}