{"id":"W4394271540","doi":"10.6084/m9.figshare.17090834","title":"Supplementary Material for: Cognitive Predictors of Delirium on Long-Term Follow-Up after TIA and Stroke: Population-Based Cohort Study","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Intensive Care Unit Cognitive Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Delirium; Cohort; Stroke (engine); Cognition; Term (time); Medicine; Population; Cohort study; Gerontology; Psychology; Demography; Psychiatry; Internal medicine; Environmental health; Sociology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008811401,0.0009926627,0.0009612975,0.001901633,0.001025377,0.001234586,0.001197807,0.001011862,0.5809671],"category_scores_gemma":[0.01485441,0.000543021,0.000793894,0.003287141,0.0001157647,0.001137685,0.0008311614,0.0009083941,0.07151283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007913637,"about_ca_system_score_gemma":0.001469372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0119058,"about_ca_topic_score_gemma":0.01572105,"domain_scores_codex":[0.9994954,0.00009913747,0.000148456,0.0001184036,0.0000763815,0.00006216633],"domain_scores_gemma":[0.9937649,0.002773741,0.0008404893,0.0006001364,0.001480857,0.0005398995],"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":[0.0005073486,0.0002350351,0.02106671,0.001131044,0.0001327465,0.0001843515,0.00007853958,0.0001910938,0.0001101883,0.000535446,0.9616377,0.0141898],"study_design_scores_gemma":[0.01217518,0.001274456,0.5281991,0.006003447,0.0008526953,0.003267646,0.001106908,0.004271046,0.0007383704,0.01151242,0.4302813,0.0003175109],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004165978,0.0001115628,0.000581178,0.0005396798,0.0001650879,0.0004520488,0.989754,0.0001968479,0.00403374],"genre_scores_gemma":[0.0401498,0.0006591434,0.006225852,0.00169585,0.0005452458,0.007838843,0.9106787,0.000432458,0.03177403],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5809671,"threshold_uncertainty_score":0.5976995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01696013931590122,"score_gpt":0.2926186752459647,"score_spread":0.2756585359300635,"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."}}