{"id":"W2911345979","doi":"10.1016/j.jmgm.2019.02.002","title":"Quantifying correlations between mutational sites in the catalytic subunit of γ-secretase","year":2019,"lang":"en","type":"article","venue":"Journal of Molecular Graphics and Modelling","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Presenilin; Allosteric regulation; Mutant; Protein subunit; Amino acid; Chemistry; Amyloid precursor protein; Active site; Biochemistry; Point mutation; Protonation; Enzyme; Cleavage (geology); Binding site; Stereochemistry; Biology; Alzheimer's disease; Gene; Disease","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":[0.0007782777,0.0003914486,0.0003850082,0.0008553662,0.0002764701,0.0006015798,0.0004840511,0.0006284242,0.001021582],"category_scores_gemma":[0.004550369,0.0002777409,0.0003323612,0.0006533712,0.0003617509,0.0005081185,0.000299897,0.0006419126,0.0001132722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003742768,"about_ca_system_score_gemma":0.0003557427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002257471,"about_ca_topic_score_gemma":0.002890036,"domain_scores_codex":[0.9996873,0.00007642014,0.00002015832,0.0000959631,0.00008111037,0.00003904547],"domain_scores_gemma":[0.9978316,0.001451265,0.0003056368,0.0001284086,0.0001759388,0.0001071847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002448892,0.0004080896,0.1132237,0.0004050477,0.0003971533,0.0008257016,0.0003610803,0.6045208,0.2205892,0.005357897,0.001377077,0.05008535],"study_design_scores_gemma":[0.00005364952,0.0002086524,0.0358185,0.00001028294,0.0001109245,0.0001865243,0.0001010683,0.9242011,0.03582563,0.003111706,0.0003298146,0.00004220781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935641,0.00009849579,0.005655369,0.00003344726,0.000007066818,0.000006007451,0.0001169026,0.0001700498,0.0003485588],"genre_scores_gemma":[0.9970822,0.00003559806,0.002618674,0.000007852401,0.000001639622,0.000004163266,0.0001530559,0.00002954773,0.00006721727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002257471,"threshold_uncertainty_score":0.004488647,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07924130999739061,"score_gpt":0.3331567670555518,"score_spread":0.2539154570581612,"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."}}