{"id":"W6902192741","doi":"10.6084/m9.figshare.24546403.v1","title":"Heart-Failure-Readmission-Prediction","year":2023,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logistic regression; Emergency department; Gradient boosting; Receiver operating characteristic; Risk stratification; Heart failure; Adverse effect; Risk assessment","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001104547,0.0005129933,0.0003587156,0.0006887295,0.0001888549,0.0006875854,0.0004168196,0.0003920263,0.002052895],"category_scores_gemma":[0.004301027,0.0001171806,0.0004495421,0.0004730503,0.0001206862,0.0002119822,0.0004188676,0.0005747903,0.0005261615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001043117,"about_ca_system_score_gemma":0.001200184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05702427,"about_ca_topic_score_gemma":0.06707826,"domain_scores_codex":[0.999571,0.0001158894,0.00003804196,0.0001123052,0.00008466792,0.00007801997],"domain_scores_gemma":[0.9985054,0.0003785027,0.0003319301,0.00006882202,0.000535293,0.0001800677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002033629,0.0001146899,0.9765459,0.00005018587,0.000129689,0.00005345892,0.0000183617,0.00388697,0.0002166214,0.0000822497,0.003358285,0.01534024],"study_design_scores_gemma":[0.00004698402,0.0001569798,0.9387317,0.00004304927,0.00009191072,0.0001617788,0.0000585628,0.05888213,0.0004015472,0.0003087787,0.001102436,0.0000143069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"software","genre_scores_codex":[0.9771115,0.001162606,0.008194058,0.001214393,0.0001295957,0.0001536605,0.008872234,0.0003315277,0.002830398],"genre_scores_gemma":[0.993302,0.0001289374,0.002247743,0.00009141314,0.00003675143,0.0000343709,0.00343127,0.000007274456,0.0007202746],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.05702427,"threshold_uncertainty_score":0.1133847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04194596322619507,"score_gpt":0.3324854996119444,"score_spread":0.2905395363857494,"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."}}