{"id":"W4293243840","doi":"10.23889/ijpds.v7i3.2083","title":"Evidence from an Applied Health Research Question (AHRQ): Health care utilization of publicly funded rehab services for patients post COVID-19 diagnosis.","year":2022,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Long-Term Effects of COVID-19","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Rehabilitation; Cohort; Acute care; Health care; Cohort study; Residence; Comorbidity; Coronavirus disease 2019 (COVID-19); Emergency medicine; Family medicine; Physical therapy; Demography; Internal medicine; Disease","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","sts"],"consensus_categories":[],"category_scores_codex":[0.007993821,0.000155235,0.0003024743,0.001082018,0.001656385,0.0003475457,0.002143275,0.00004607696,0.00007884135],"category_scores_gemma":[0.01007101,0.0001523606,0.00006757552,0.0007874863,0.000164487,0.003093279,0.000679106,0.0003120254,0.000001429998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003179621,"about_ca_system_score_gemma":0.003241755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01198494,"about_ca_topic_score_gemma":0.00310612,"domain_scores_codex":[0.9941482,0.0004204932,0.0009128794,0.0007857587,0.003291907,0.000440779],"domain_scores_gemma":[0.9924299,0.001510726,0.001107108,0.0007588313,0.003481839,0.0007115587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003718478,0.0009641069,0.902741,0.001062765,0.00007188531,0.000003973546,0.004851548,0.003795679,0.000363355,0.005513168,0.008680348,0.06823368],"study_design_scores_gemma":[0.005974365,0.005448595,0.9234484,0.001040721,0.00004601378,0.00004037797,0.003450217,0.03023578,0.0001678277,0.004249848,0.02554081,0.0003570699],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8647633,0.001015963,0.02501753,0.09257434,0.002977501,0.005410741,0.008131691,0.00009616184,0.00001279919],"genre_scores_gemma":[0.9647169,0.0001810663,0.009087074,0.007601238,0.0003471749,0.0002270296,0.01780734,0.00002382211,0.000008322019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09995366,"threshold_uncertainty_score":0.9996433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2271542683256884,"score_gpt":0.5349856225691102,"score_spread":0.3078313542434218,"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."}}