{"id":"W3163878110","doi":"","title":"The effect of government payment methods on nursing home rehabilitation treatment and resident discharge outcomes.","year":2002,"lang":"en","type":"article","venue":"Deep Blue (University of Michigan)","topic":"Geriatric Care and Nursing Homes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rehabilitation; Payment; Government (linguistics); Nursing; Skilled Nursing Facility; Business; Patient discharge; Medicine; MEDLINE; Physical therapy; Finance; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.0005974598,0.0001362178,0.0003453543,0.00005815094,0.0006016551,0.000003599635,0.00011392,0.00008569952,0.00008442668],"category_scores_gemma":[0.00008097351,0.00009950427,0.0001331181,0.000112434,0.0001493443,0.0000561749,0.00004078687,0.0001289912,0.00001252422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003289923,"about_ca_system_score_gemma":0.00001171977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002497888,"about_ca_topic_score_gemma":0.001814348,"domain_scores_codex":[0.9983178,0.0008051209,0.0002037971,0.0002072901,0.0002402601,0.0002257321],"domain_scores_gemma":[0.9970693,0.002275319,0.0002445766,0.0003046262,0.00003101291,0.00007514207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001412178,0.0004431776,0.03298537,0.0003693274,0.000367199,0.000005560454,0.7586894,0.00003267072,0.001874061,0.001842693,0.001357333,0.200621],"study_design_scores_gemma":[0.009447731,0.008234296,0.4222827,0.0007709046,0.0008018541,0.000002196313,0.5426172,0.0008028458,0.001696004,0.0005568622,0.01234328,0.0004441198],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943643,0.0005750922,0.0003427307,0.002947515,0.0003896283,0.0006375781,0.00003004963,0.00001838696,0.000694692],"genre_scores_gemma":[0.9961331,0.0003011932,0.001559306,0.00001527621,0.00002438359,0.000002927888,0.000005329206,0.00001121649,0.001947197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3892973,"threshold_uncertainty_score":0.4627506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706706692261048,"score_gpt":0.3330851180776451,"score_spread":0.3160180511550346,"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."}}