{"id":"W7111221297","doi":"10.1371/journal.pone.0329800.s001","title":"Description of covariates at baseline.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Aging and Gerontology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bivariate analysis; Logistic regression; Longitudinal study; Activities of daily living; Life satisfaction; Cohort; Baseline (sea); Happiness; Covariate; Mental health","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":[0.002550484,0.001142309,0.00114679,0.001479528,0.0009103835,0.0009875557,0.001658309,0.002082082,0.09916003],"category_scores_gemma":[0.01114802,0.0004585272,0.001710153,0.003001392,0.0002368422,0.0009054914,0.0008709179,0.002724104,0.02679884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008845954,"about_ca_system_score_gemma":0.002424752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02024875,"about_ca_topic_score_gemma":0.01031652,"domain_scores_codex":[0.9980798,0.0005541242,0.0002672274,0.0004499115,0.000319123,0.000329893],"domain_scores_gemma":[0.9966336,0.0009605636,0.0006054614,0.0007096111,0.000814511,0.0002762821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01142777,0.002041193,0.2708058,0.003628676,0.001495259,0.0005340498,0.0005576269,0.002605668,0.001232066,0.004530585,0.5883394,0.1128018],"study_design_scores_gemma":[0.002886265,0.003129283,0.4713382,0.00153637,0.0008141233,0.0006463177,0.0006403364,0.00698949,0.001198298,0.007229918,0.5033679,0.0002235444],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.04107405,0.001455921,0.008376382,0.001144752,0.0006729467,0.004001182,0.9240713,0.001062303,0.01814124],"genre_scores_gemma":[0.1911081,0.001145737,0.01570038,0.002715596,0.0005509529,0.03860089,0.6720417,0.0008387812,0.07729787],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.90084,"threshold_uncertainty_score":0.3317233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1149220175388443,"score_gpt":0.3874821750808722,"score_spread":0.2725601575420278,"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."}}