{"id":"W4386340066","doi":"10.1515/9781800734982","title":"Preventing Dementia?","year":2020,"lang":"en","type":"book","venue":"Berghahn Books","topic":"Aging, Elder Care, and Social Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Eidgenössische Technische Hochschule Zürich; Bundesministerium für Gesundheit; National Institute on Aging; Social Sciences and Humanities Research Council of Canada; Deutsche Forschungsgemeinschaft; Johns Hopkins University; Princeton University","keywords":"Dementia; Computer science; Medicine; Internal medicine; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000743541,0.0004510309,0.0003626079,0.0007434368,0.001186306,0.002301361,0.0005187565,0.001925947,0.01806215],"category_scores_gemma":[0.001719322,0.0001549751,0.0003045721,0.0004891682,0.001906159,0.003730613,0.001491496,0.002639844,0.009121447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001140382,"about_ca_system_score_gemma":0.003040956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004605399,"about_ca_topic_score_gemma":0.0135607,"domain_scores_codex":[0.9996547,0.0001219687,0.00001195415,0.00003464301,0.0001252173,0.00005151869],"domain_scores_gemma":[0.999712,0.0001089348,0.00001793315,0.00001733951,0.00006089776,0.00008282126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002375329,0.00007488894,0.000259232,0.0003545509,0.000006357521,0.0001173546,0.001929767,0.0000389501,0.0001306672,0.08125816,0.6978022,0.2180041],"study_design_scores_gemma":[0.000008889775,0.00001779218,0.0004028767,0.0006248731,0.000004742294,0.0002955839,0.0006158933,0.0000163542,0.00003418707,0.02324961,0.9747252,0.000003969577],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001709734,0.2886555,0.00113457,0.1910858,0.01650551,0.00004070572,0.0001407829,0.0001974158,0.5005301],"genre_scores_gemma":[0.03141212,0.2349339,0.003732856,0.148003,0.008673068,0.0001582987,0.0002673963,0.0001102656,0.572709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01806215,"threshold_uncertainty_score":0.06042391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0563272593614656,"score_gpt":0.3727868009130175,"score_spread":0.3164595415515519,"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."}}