{"id":"W4386862328","doi":"10.2196/45130","title":"Cloud-Based Machine Learning Platform to Predict Clinical Outcomes at Home for Patients With Cardiovascular Conditions Discharged From Hospital: Clinical Trial","year":2023,"lang":"en","type":"article","venue":"JMIR Cardio","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cloud computing; Medicine; Clinical trial; Computer science; Operating system; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001070086,0.0003300668,0.001402887,0.0001567538,0.0002283319,0.00003460413,0.0001242511,0.0002014991,0.00007030973],"category_scores_gemma":[0.00050086,0.0002313509,0.002023818,0.0002790412,0.00008584469,0.00008346664,0.0001323156,0.0003255862,0.0003781361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001412,"about_ca_system_score_gemma":0.00009297493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000446546,"about_ca_topic_score_gemma":0.0000239364,"domain_scores_codex":[0.9970207,0.0001685493,0.0008077929,0.0007276784,0.0007814331,0.0004939135],"domain_scores_gemma":[0.9977334,0.000755512,0.0001233941,0.0007822727,0.0001366618,0.0004687682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01382379,0.0007280053,0.9404322,0.00003556463,0.004880227,0.0000685815,0.00008164741,0.0001057001,4.549981e-7,0.00001240872,0.03764136,0.002190051],"study_design_scores_gemma":[0.09682605,0.006594748,0.6373468,0.00005869691,0.001516048,3.105618e-7,0.00003698812,0.0001641131,0.00000261282,0.00001079454,0.2571879,0.0002549389],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870519,0.0000361008,0.0005498035,0.00181313,0.001826247,0.007533105,0.0005895765,0.0004831124,0.0001170347],"genre_scores_gemma":[0.989142,0.00002554674,0.0008927503,0.0003687549,0.001300143,0.001940761,0.004652689,0.00009065011,0.001586683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3030854,"threshold_uncertainty_score":0.9434217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04713460508186331,"score_gpt":0.3515239963068025,"score_spread":0.3043893912249392,"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."}}