{"id":"W2796130551","doi":"10.1353/ken.2018.0002","title":"Assessing Rehabilitation Eligibility of Older Patients: An Ethical Analysis of the Impact of Bias","year":2018,"lang":"en","type":"article","venue":"Kennedy Institute of Ethics journal","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rehabilitation; Context (archaeology); Population; Medicine; Gerontology; Psychology; Physical therapy; Environmental 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04695834,0.0001599632,0.001352218,0.0007450432,0.0002259758,0.00004227959,0.0004922498,0.0005190359,0.0001849816],"category_scores_gemma":[0.04358814,0.0001390617,0.0006905555,0.0009974679,0.001142812,0.001007536,0.00006905884,0.001033163,0.000004613039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003824576,"about_ca_system_score_gemma":0.001036397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002454146,"about_ca_topic_score_gemma":0.0007221077,"domain_scores_codex":[0.9918074,0.001393906,0.005912927,0.0003060842,0.0003486339,0.000231059],"domain_scores_gemma":[0.985824,0.002888762,0.008341043,0.0008058854,0.00199511,0.0001452292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005066582,0.0005755573,0.9436665,0.0004125574,0.0008045591,7.353226e-8,0.01470578,0.005115869,0.0001001359,0.03402762,0.0003582607,0.0001823696],"study_design_scores_gemma":[0.0006604483,0.0005410976,0.9731412,0.0002874202,0.0001236016,0.000001226213,0.0008227705,0.005751639,0.000102983,0.01831877,0.0001178265,0.0001309992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887041,0.0001136512,0.005001002,0.004467144,0.0006243555,0.0002708959,0.0002318912,0.000004625476,0.0005823384],"genre_scores_gemma":[0.9941565,0.00003900606,0.005208388,0.0004431609,0.0001183072,0.000002634829,0.00001546364,0.00001200611,0.000004467577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02947467,"threshold_uncertainty_score":0.9813569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4571707037013603,"score_gpt":0.5471890221899147,"score_spread":0.0900183184885544,"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."}}