{"id":"W2985634976","doi":"10.1007/978-3-319-69892-2_27-1","title":"Berlin Aging Study II (BASE-II)","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Health and Medical Studies","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences North","funders":"","keywords":"Base (topology); Mathematics","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":[0.001076744,0.0006545422,0.0004247273,0.00279759,0.0003757489,0.00136374,0.0007834914,0.0006230141,0.06635496],"category_scores_gemma":[0.002114039,0.0004296969,0.0002624629,0.003352837,0.000160548,0.001069078,0.0009083318,0.0008402346,0.03196827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001105893,"about_ca_system_score_gemma":0.001371386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01414092,"about_ca_topic_score_gemma":0.04175713,"domain_scores_codex":[0.9997481,0.00005765529,0.0000201008,0.00003306144,0.0001033952,0.00003764349],"domain_scores_gemma":[0.9995148,0.0001976717,0.00004234658,0.00004399762,0.0001206977,0.00008056103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002553879,0.00001556054,0.0005226064,0.00009024348,0.000004699576,0.00001054408,0.0000386489,0.00004968447,0.00002425378,0.002154116,0.9262289,0.07083512],"study_design_scores_gemma":[0.00002231953,0.00001546446,0.009966273,0.0004728215,0.00001150879,0.00006204787,0.00007985436,0.00004603378,0.0001010546,0.002009661,0.9872047,0.000008175752],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003903567,0.1642542,0.002523105,0.01352277,0.01171645,0.0001982457,0.1323969,0.0005891178,0.6708956],"genre_scores_gemma":[0.01752789,0.07021797,0.002962733,0.003260117,0.001895344,0.0005958239,0.06441183,0.0004164878,0.8387119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06635496,"threshold_uncertainty_score":0.2219794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1599823521932717,"score_gpt":0.4691620473970063,"score_spread":0.3091796952037346,"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."}}