{"id":"W2088430422","doi":"10.1002/pmic.201470083","title":"Developing New Methods to Answer Old and New Questions in Neurodegenerative Diseases","year":2014,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Institute on Aging","keywords":"Library science; Data science; Political science; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003757765,0.0001408896,0.0001444264,0.00005257107,0.00009895514,0.00003664003,0.000120944,0.00004523137,0.00009376185],"category_scores_gemma":[0.000501722,0.0001439429,0.00001631667,0.0002014704,0.00005445556,0.0001928162,0.000222942,0.0001454632,0.0001084471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000223612,"about_ca_system_score_gemma":0.00009256812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001581182,"about_ca_topic_score_gemma":0.0004638809,"domain_scores_codex":[0.9986732,0.0002602584,0.0001890425,0.000479996,0.000119207,0.0002783214],"domain_scores_gemma":[0.9992865,0.00009454555,0.00004591715,0.0001965401,0.000003083,0.000373364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002725516,0.00006652134,0.2040821,0.00002166983,0.000005882905,0.000003276162,0.001785494,0.002976211,0.03250948,0.003086698,0.0007676754,0.7546678],"study_design_scores_gemma":[0.0006720798,0.0001262626,0.8918757,0.0001218826,0.00001862473,0.000007166018,0.00008494653,0.004675467,0.02796896,0.02355512,0.05025989,0.000633862],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4144654,0.00004541949,0.5810961,0.002918523,0.00006728241,0.0006992267,0.00000253397,0.00002721065,0.0006783712],"genre_scores_gemma":[0.08725116,0.00006998968,0.9051648,0.006378533,0.0001134097,0.00008324704,0.000003184845,0.00002770827,0.0009080104],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7540339,"threshold_uncertainty_score":0.586982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03656493451184031,"score_gpt":0.3313421642665372,"score_spread":0.2947772297546969,"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."}}