{"id":"W4238239222","doi":"10.29173/hsi262","title":"Using precision medicine to reduce falls in individuals with Alzheimer’s disease","year":2018,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Diet and metabolism studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Disease; Gerontology; Alzheimer's disease; Physical medicine and rehabilitation; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002302684,0.0005370688,0.0009427624,0.001121395,0.0008085084,0.001084306,0.0003700354,0.001181711,0.001511181],"category_scores_gemma":[0.01013117,0.0003613077,0.001277255,0.001308067,0.0003577788,0.0007306074,0.000590445,0.001082516,0.0001295316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006426129,"about_ca_system_score_gemma":0.001392722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01363791,"about_ca_topic_score_gemma":0.02517655,"domain_scores_codex":[0.9984981,0.0006738006,0.0002376566,0.000157487,0.0003474941,0.00008544516],"domain_scores_gemma":[0.9971918,0.001413791,0.0007085003,0.0001551491,0.000380691,0.0001501219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01398345,0.007989185,0.4823454,0.01068116,0.02135346,0.0002796081,0.00259978,0.0004225392,0.001974487,0.001780822,0.009481594,0.4471084],"study_design_scores_gemma":[0.002297758,0.01185083,0.9430875,0.004423305,0.01812153,0.0002983699,0.001610276,0.0004726742,0.001198736,0.005065269,0.01149478,0.000078978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8007174,0.1734311,0.0009465636,0.01061643,0.0009065387,0.0001628163,0.0007455441,0.00003123819,0.01244241],"genre_scores_gemma":[0.966729,0.02717933,0.001752226,0.002863404,0.000270467,0.00006419114,0.0002365137,0.000003163129,0.0009016873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01363791,"threshold_uncertainty_score":0.02711701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.243027383400324,"score_gpt":0.4772612849355958,"score_spread":0.2342339015352717,"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."}}