{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003453697,0.0009012862,0.001922675,0.0003272805,0.000601095,0.001438769,0.0008639485,0.001570424,0.005267337],"category_scores_gemma":[0.006133198,0.0003380498,0.002551522,0.0003730145,0.0007685031,0.00157867,0.0009614474,0.003780835,0.001183808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007988003,"about_ca_system_score_gemma":0.001682877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001472745,"about_ca_topic_score_gemma":0.001429786,"domain_scores_codex":[0.9989676,0.0004804909,0.0001008059,0.0001698549,0.0001095502,0.0001717311],"domain_scores_gemma":[0.9975682,0.0007486385,0.0004212522,0.0002668195,0.0003707861,0.0006243701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.5812411,0.1509754,0.03759535,0.003877944,0.005893745,0.0002627406,0.0003036897,0.006560113,0.002793438,0.0007552593,0.02101969,0.1887215],"study_design_scores_gemma":[0.4515489,0.4414167,0.05228045,0.001079972,0.005189631,0.0003243818,0.0004315774,0.0323816,0.002683702,0.00177064,0.01069256,0.0001998429],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676518,0.007255349,0.002976034,0.003360618,0.001346886,0.01051516,0.003061083,0.0003393687,0.00349386],"genre_scores_gemma":[0.9668956,0.003651883,0.005838932,0.003930963,0.0009315997,0.01408787,0.002811305,0.00002763468,0.001824222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005267337,"threshold_uncertainty_score":0.01826513,"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."}}