{"id":"W3006261855","doi":"10.2196/16678","title":"Predictive Modeling for Frailty Conditions in Elderly People: Machine Learning Approaches","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Frailty in Older Adults","field":"Medicine","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Machine learning; Support vector machine; Decision tree; Artificial intelligence; Random forest; Logistic regression; Population; Computer science; Artificial neural network; Medicine; Gerontology; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.003919402,0.0008953873,0.0009856443,0.002142697,0.0003174849,0.001165668,0.000942163,0.0008741402,0.0008268325],"category_scores_gemma":[0.008243798,0.0002338744,0.0009349568,0.00149099,0.0003595707,0.0008687265,0.0006936431,0.001602801,0.0002639428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008739309,"about_ca_system_score_gemma":0.0008628721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006202291,"about_ca_topic_score_gemma":0.003310499,"domain_scores_codex":[0.9991522,0.0004142492,0.0000695886,0.0001538382,0.0001625412,0.0000475337],"domain_scores_gemma":[0.9953402,0.003723206,0.0003458027,0.0001041815,0.0004080964,0.00007863012],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001471934,0.0003454414,0.05639331,0.0003382151,0.0004817884,0.0002307212,0.0001580263,0.7894067,0.0003718471,0.003521922,0.003377979,0.1452268],"study_design_scores_gemma":[0.0000107818,0.00005860715,0.005108044,0.0001016501,0.00004859347,0.00006764774,0.00004809458,0.9837361,0.000184319,0.009829205,0.0007914226,0.00001545149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2614034,0.02035307,0.706465,0.00453763,0.0002805546,0.0003971473,0.002020899,0.0007706367,0.003771728],"genre_scores_gemma":[0.9066775,0.005258593,0.08483807,0.0003047426,0.0003226225,0.0003148651,0.001219096,0.00003462094,0.001029869],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006202291,"threshold_uncertainty_score":0.02072805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06628481390935935,"score_gpt":0.3156747560770438,"score_spread":0.2493899421676845,"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."}}