{"id":"W6885920863","doi":"10.1371/journal.pone.0309837.s009","title":"PECOS model.","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Frailty in Older Adults","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Older people; MEDLINE; Meta-analysis; China; Scale (ratio); Risk assessment; Subgroup analysis; Health care","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":["insufficient_payload"],"category_scores_codex":[0.00537135,0.002108499,0.002118555,0.003113251,0.0008895209,0.006306602,0.00448559,0.002882639,0.396199],"category_scores_gemma":[0.03118235,0.00116597,0.005221817,0.003952911,0.0007888963,0.00458208,0.00399746,0.003480899,0.2100245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00192153,"about_ca_system_score_gemma":0.005439582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009341962,"about_ca_topic_score_gemma":0.007562346,"domain_scores_codex":[0.9961427,0.001671083,0.0004169925,0.0009756935,0.0005368891,0.0002566091],"domain_scores_gemma":[0.9927613,0.004320383,0.0005177489,0.001004967,0.001088159,0.0003074095],"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":[0.00110176,0.0002285778,0.0058857,0.005722655,0.001177101,0.000369035,0.0005900529,0.0155924,0.0002286665,0.06651592,0.6470815,0.2555067],"study_design_scores_gemma":[0.0006187357,0.0001448216,0.002157897,0.002141836,0.0006182163,0.0004395517,0.0003357956,0.02895972,0.0004085746,0.09238531,0.8716886,0.0001009861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01034252,0.01634017,0.2275714,0.02044678,0.006987557,0.004044785,0.2970553,0.04648669,0.370725],"genre_scores_gemma":[0.1692214,0.01920784,0.2569428,0.01269318,0.002543673,0.01454579,0.1977765,0.03206929,0.2949995],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.603801,"threshold_uncertainty_score":0.8612489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06546140419267803,"score_gpt":0.3175748231453475,"score_spread":0.2521134189526694,"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."}}