{"id":"W6927365621","doi":"10.3389/fnetp.2021.754477.s002","title":"Table2_Comparison of Gait Speed Reserve, Usual Gait Speed, and Maximum Gait Speed of Adults Aged 50+ in Ireland Using Explainable Machine Learning.DOCX","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Bacterial Infections and Vaccines","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gait; Standard deviation; Feature selection; Histogram; Stepwise regression; Feature (linguistics); Cognition; Logistic regression","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002453007,0.001167296,0.001199206,0.001842274,0.0003835167,0.001127881,0.002287272,0.0005466669,0.1359491],"category_scores_gemma":[0.01394747,0.0004231411,0.00277767,0.002142447,0.0002169537,0.001405246,0.0008914036,0.001157345,0.01869093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001120818,"about_ca_system_score_gemma":0.001106138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05513873,"about_ca_topic_score_gemma":0.0504329,"domain_scores_codex":[0.9992326,0.0001649688,0.0001042327,0.0002646714,0.000143271,0.00009015122],"domain_scores_gemma":[0.9951481,0.002897048,0.0004528082,0.0003728045,0.0009672381,0.0001620656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002485916,0.0002883151,0.5505133,0.002178442,0.00150672,0.0001702871,0.0002799145,0.004317197,0.0004013177,0.0005949516,0.3832763,0.05398726],"study_design_scores_gemma":[0.0006793682,0.0006341267,0.9356815,0.0006863616,0.0006382457,0.0003023131,0.001125378,0.01273078,0.0004937613,0.0006330101,0.04627421,0.0001211238],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.08636601,0.000524873,0.002890673,0.0004646906,0.0002534712,0.0003517831,0.9010806,0.001209984,0.006857844],"genre_scores_gemma":[0.4235245,0.0004338,0.005270484,0.0003077074,0.000133449,0.001699024,0.5541404,0.0008741824,0.01361637],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1359491,"threshold_uncertainty_score":0.4547952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03824121711692306,"score_gpt":0.2760381753323913,"score_spread":0.2377969582154683,"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."}}