{"id":"W4318263864","doi":"10.2196/44296","title":"Development and Validation of Multivariable Prediction Algorithms to Estimate Future Walking Behavior in Adults: Retrospective Cohort Study","year":2023,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Physical Activity and Health","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. National Library of Medicine","keywords":"Random forest; Medicine; Algorithm; Logistic regression; Psychological intervention; Retrospective cohort study; Decision tree; Cohort; Machine learning; Multilayer perceptron; Physical therapy; Artificial intelligence; Computer science; Artificial neural network; Internal medicine","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":[0.02475918,0.0008558693,0.0006906866,0.0008723821,0.0004671174,0.0008108751,0.001176593,0.0007890919,0.000727077],"category_scores_gemma":[0.04109067,0.0004963107,0.00139298,0.0007074188,0.0003719835,0.0005429803,0.0008039285,0.001170797,0.000419793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003416331,"about_ca_system_score_gemma":0.00106259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00493609,"about_ca_topic_score_gemma":0.003409266,"domain_scores_codex":[0.9947559,0.002984232,0.0004801755,0.0009279577,0.0006677528,0.0001840684],"domain_scores_gemma":[0.979518,0.009167842,0.00259823,0.004414692,0.003924711,0.0003765161],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001517919,0.0006203299,0.9735433,0.00005219536,0.0007637424,0.00004965434,0.0001781164,0.004112926,0.0004624382,0.0001467693,0.000894971,0.01765757],"study_design_scores_gemma":[0.0006545279,0.004979042,0.8621222,0.0001185687,0.001140225,0.0005146179,0.0004233727,0.1251432,0.001741588,0.0005900143,0.002497252,0.00007545783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96815,0.0002498181,0.0284214,0.0000648298,0.00004033502,0.0005308733,0.002158485,0.0001014731,0.0002829279],"genre_scores_gemma":[0.9713877,0.000143122,0.0239647,0.00007620423,0.00002890858,0.0007432634,0.003399979,0.00003075232,0.0002253172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02475918,"threshold_uncertainty_score":0.1309407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0407632859630079,"score_gpt":0.3955935445254811,"score_spread":0.3548302585624732,"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."}}