{"id":"W3112009795","doi":"10.1002/alz.044322","title":"Prioritizing potential diagnostic biomarkers of Alzheimer’s disease by investigating gene expression data: A network‐based approach","year":2020,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Biology; Entorhinal cortex; Subnetwork; Gene; Computational biology; Betweenness centrality; Genetics; Neuroscience; Hippocampus; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001302977,0.00107592,0.001087074,0.007261585,0.000494623,0.001358433,0.0006201421,0.0005334167,0.00118973],"category_scores_gemma":[0.002320432,0.0002473982,0.001261421,0.004209139,0.0004146694,0.0008079469,0.0006471829,0.000492853,0.0002684718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000730027,"about_ca_system_score_gemma":0.0006651427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001768783,"about_ca_topic_score_gemma":0.002664256,"domain_scores_codex":[0.999211,0.0002441719,0.00006962947,0.0002689513,0.0001428652,0.00006335828],"domain_scores_gemma":[0.9987337,0.0007110196,0.0002450799,0.0000512909,0.0001870862,0.00007196077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002088037,0.000876686,0.3465258,0.003599441,0.00399986,0.001711938,0.0004862878,0.1461538,0.1398232,0.008075835,0.007283833,0.3393754],"study_design_scores_gemma":[0.00009294341,0.0006368152,0.1473498,0.000303383,0.002175877,0.001066065,0.0004477963,0.7929664,0.01898929,0.02769527,0.008152792,0.0001235631],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.549795,0.01275729,0.4168299,0.001876776,0.0001694924,0.0005686691,0.01226326,0.001408313,0.004331212],"genre_scores_gemma":[0.8663195,0.002615056,0.122397,0.0002187823,0.0001289033,0.0003420776,0.007121003,0.00005994178,0.0007977358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007261585,"threshold_uncertainty_score":0.006890833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03229858915673342,"score_gpt":0.2503555462223967,"score_spread":0.2180569570656633,"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."}}