{"id":"W4316467596","doi":"10.1093/ageing/afac322.002","title":"1344 UNDERSTANDING PATHWAYS INTO CARE HOMES USING DATA (THE UNPICD STUDY)","year":2023,"lang":"en","type":"article","venue":"Age and Ageing","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Health Economics","funders":"","keywords":"Medicine; Descriptive statistics; Acute care; Health care; Observational study; Family medicine; Retrospective cohort study","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":[],"consensus_categories":[],"category_scores_codex":[0.004507584,0.0003138372,0.0005032248,0.002180482,0.0007711445,0.001850617,0.001046646,0.0004854533,0.005730108],"category_scores_gemma":[0.01911596,0.000408779,0.001047519,0.005004559,0.0003531393,0.001049652,0.003101747,0.0006660882,0.001113645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001843381,"about_ca_system_score_gemma":0.003070031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1471633,"about_ca_topic_score_gemma":0.1839571,"domain_scores_codex":[0.9958671,0.001785839,0.0006965589,0.0005238772,0.000601301,0.0005253424],"domain_scores_gemma":[0.9898488,0.002177469,0.004537198,0.001007198,0.001514502,0.0009148786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001456203,0.00007744188,0.9851677,0.0002303782,0.0001271635,0.0001225964,0.001446036,0.00009256954,0.00002519078,0.0002359259,0.005601075,0.006728265],"study_design_scores_gemma":[0.00005881371,0.0001361165,0.9881848,0.0004875417,0.00007281283,0.0001185433,0.00311358,0.0003529853,0.00003063741,0.0001973364,0.007225812,0.00002111142],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9244533,0.001371077,0.001112347,0.0009242693,0.00006376126,0.0005627432,0.06665473,0.00002624535,0.004831412],"genre_scores_gemma":[0.960247,0.0008737183,0.002081205,0.0003885163,0.00004499835,0.0009188462,0.03390069,0.00002040255,0.001524685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1471633,"threshold_uncertainty_score":0.2926135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2905144401034884,"score_gpt":0.4352332288504247,"score_spread":0.1447187887469363,"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."}}