{"id":"W6902304247","doi":"10.6084/m9.figshare.26652204","title":"Additional file 1 of Machine learning analyses identify multi-modal frailty factors that selectively discriminate four cohorts in the Alzheimer’s disease spectrum: a COMPASS-ND study","year":2024,"lang":"en","type":"article","venue":"Open MIND","topic":"Frailty in Older Adults","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of Alberta","funders":"","keywords":"Disease; Feature (linguistics); Feature selection; Support vector machine; Identification (biology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001849976,0.001193644,0.00136168,0.001794778,0.001204545,0.001620068,0.002108672,0.001512147,0.7819302],"category_scores_gemma":[0.04667649,0.0005952541,0.001423894,0.002200582,0.0003600823,0.001280917,0.000997474,0.0009406906,0.07326893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006973572,"about_ca_system_score_gemma":0.001495506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009866877,"about_ca_topic_score_gemma":0.01462525,"domain_scores_codex":[0.9992905,0.00017248,0.0001295607,0.0002151855,0.00009090055,0.0001013578],"domain_scores_gemma":[0.9702028,0.02466641,0.001464319,0.001625933,0.001525107,0.0005154312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001756222,0.0007214826,0.04146437,0.003954642,0.0004863159,0.0003162162,0.0003426234,0.001168578,0.0002427737,0.001920762,0.925647,0.02197899],"study_design_scores_gemma":[0.03359484,0.002462853,0.3841093,0.007205627,0.002349952,0.003834881,0.002438291,0.01225984,0.001723353,0.04020617,0.5091286,0.0006864041],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.003145914,0.00004108437,0.0008753564,0.0001665841,0.00004387733,0.0002003521,0.9944615,0.0001946192,0.0008707608],"genre_scores_gemma":[0.0748584,0.0002201013,0.01181938,0.001227328,0.0002900869,0.008878327,0.882733,0.0009349379,0.01903832],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7819302,"threshold_uncertainty_score":0.3110501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2119510519244551,"score_gpt":0.4156612207236463,"score_spread":0.2037101687991912,"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."}}