{"id":"W2998662860","doi":"10.1093/geront/gnz171","title":"Supporting Older Homeless Persons’ Positive Relocations to Long-Term Care: Service Provider Views","year":2019,"lang":"en","type":"article","venue":"The Gerontologist","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; University of Toronto; York University; McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Term (time); Service provider; Long-term care; Service (business); Gerontology; Nursing; Aging in place; Medicine; Business; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006416904,0.0002272686,0.0005835069,0.00004952806,0.001336492,0.00003867739,0.000503419,0.0002273698,0.000715185],"category_scores_gemma":[0.0001090461,0.0001555988,0.00008712027,0.0003101708,0.00007968727,0.0001405014,0.0002260829,0.0005220536,0.002262809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002916146,"about_ca_system_score_gemma":0.0002773793,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006382799,"about_ca_topic_score_gemma":0.08226854,"domain_scores_codex":[0.9974088,0.0006510151,0.0005099806,0.00040124,0.0002417236,0.0007872477],"domain_scores_gemma":[0.998125,0.0003983967,0.000289999,0.0006433093,0.0003943672,0.0001489596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00006213152,0.00006203714,0.4657293,0.0006838847,0.00005257291,0.000009277705,0.519498,0.000008571851,0.00017989,0.001771748,0.0005664435,0.01137611],"study_design_scores_gemma":[0.0005101116,0.00006526771,0.6845346,0.0003224128,0.00005195149,6.30946e-7,0.3128374,0.00001799697,0.00006537352,0.00005045767,0.001257995,0.0002857402],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977012,0.001034254,0.0005177264,0.006584405,0.0007887807,0.002609823,0.00004523727,0.0001536499,0.01125406],"genre_scores_gemma":[0.9917897,0.0000209744,0.0001030093,0.002222449,0.0002912795,0.0004625682,0.00007111571,0.00003857694,0.005000325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2188053,"threshold_uncertainty_score":0.9999636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06492888592852933,"score_gpt":0.4391038723643653,"score_spread":0.3741749864358359,"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."}}