{"id":"W2914208327","doi":"10.3389/fneur.2018.01179","title":"Alzheimer's “Prevention” vs. “Risk Reduction”: Transcending Semantics for Clinical Practice","year":2019,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"National Center for Advancing Translational Sciences; National Institute on Aging","keywords":"Dementia; Disease; Clinical Practice; Psychological intervention; Medicine; Cognition; Semantics (computer science); Psychology; Psychiatry; Family medicine; Pathology; 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":[0.001359333,0.0001327765,0.0004002314,0.0002430037,0.0000614085,0.00001479832,0.0001137825,0.0001868632,0.0001161921],"category_scores_gemma":[0.0005806586,0.0001312401,0.0001990079,0.0001998541,0.0001226074,0.0001613895,0.00003072279,0.0006297611,0.00005043115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001650224,"about_ca_system_score_gemma":0.0001146578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006966205,"about_ca_topic_score_gemma":0.000001309795,"domain_scores_codex":[0.9979491,0.0004397289,0.0004759531,0.0004739379,0.0002347404,0.0004264865],"domain_scores_gemma":[0.9990434,0.000296468,0.00014583,0.0002538609,0.0001493768,0.0001110761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005333047,0.0007236939,0.9322324,0.00005606891,0.000445411,0.00006177332,0.00009194003,0.00000758584,0.00009537413,0.0002458882,0.02942155,0.0312852],"study_design_scores_gemma":[0.01680179,0.01224388,0.4898897,0.00006454199,0.001682951,0.0004858901,0.0007093247,0.003755593,0.0005714084,0.003639324,0.4697895,0.0003661438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.939163,0.001412062,0.03165806,0.01522696,0.006278342,0.002854164,0.00001246982,0.00007013208,0.003324847],"genre_scores_gemma":[0.9638018,0.002226894,0.02953476,0.002244932,0.0004701166,0.0001178602,0.00004674185,0.00004665906,0.001510226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4423428,"threshold_uncertainty_score":0.5351817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04128618394523704,"score_gpt":0.4030411985327162,"score_spread":0.3617550145874792,"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."}}