{"id":"W4389545980","doi":"10.3390/cancers15245776","title":"Defining an Abnormal Geriatric Assessment: Which Deficits Matter Most?","year":2023,"lang":"en","type":"article","venue":"Cancers","topic":"Frailty in Older Adults","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Toronto General Hospital; University of Toronto; University Health Network","funders":"Princess Margaret Cancer Foundation","keywords":"Logistic regression; Context (archaeology); Medicine; Cohort; Geriatric oncology; Retrospective cohort study; Internal medicine; Receiver operating characteristic; Geriatrics; Area under the curve; Comorbidity; Cancer; Oncology; Psychiatry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00325195,0.0005901943,0.001028698,0.001745754,0.000530393,0.001661835,0.0006904112,0.000932999,0.0009213252],"category_scores_gemma":[0.015081,0.0001426428,0.0004712143,0.001486483,0.00124379,0.002260255,0.00105967,0.001016821,0.0003479762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115861,"about_ca_system_score_gemma":0.001301216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006999277,"about_ca_topic_score_gemma":0.01578753,"domain_scores_codex":[0.9986808,0.0003955694,0.0003385014,0.0001516811,0.0002736096,0.000159871],"domain_scores_gemma":[0.9956196,0.001091809,0.001751239,0.0001387854,0.0008991919,0.0004994198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001484641,0.00003797016,0.9412901,0.0002393576,0.00009445776,0.0002093018,0.0003952682,0.0002956461,0.0002340723,0.0006298997,0.002985642,0.05343963],"study_design_scores_gemma":[0.00001884271,0.00027392,0.9800846,0.001460276,0.0001447693,0.002033975,0.003037097,0.001877472,0.0004131964,0.006789432,0.003812206,0.00005409805],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9353539,0.02423282,0.006366079,0.02033938,0.0005314216,0.0001518316,0.001615999,0.00008809934,0.0113205],"genre_scores_gemma":[0.9922192,0.003779094,0.002325266,0.0008399907,0.0001942474,0.00003030154,0.0004021947,0.00001199529,0.0001978007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006999277,"threshold_uncertainty_score":0.0171982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01736314302323857,"score_gpt":0.3065497701051154,"score_spread":0.2891866270818768,"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."}}