{"id":"W3014886217","doi":"10.2196/17770","title":"A Smartphone App to Manage Cirrhotic Ascites Among Outpatients: Feasibility Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Liver Disease and Transplantation","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Massachusetts General Hospital","keywords":"Medicine; Ascites; Cirrhosis; Electronic medical record; Weight loss; Medical record; Adverse effect; Emergency medicine; Internal medicine; Obesity","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":[0.0002153508,0.00016438,0.0003226697,0.00008390298,0.00005806749,0.00003244898,0.0001691229,0.00008954124,0.0004323391],"category_scores_gemma":[0.0001168609,0.0001301255,0.00008404168,0.0004061192,0.0000683226,0.0002656741,0.0000748368,0.000269494,0.0005561111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000483522,"about_ca_system_score_gemma":0.0000812717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002154019,"about_ca_topic_score_gemma":0.00001501455,"domain_scores_codex":[0.9978384,0.00003901251,0.0006184134,0.0001512283,0.001102332,0.0002506168],"domain_scores_gemma":[0.9983665,0.00005987293,0.00008426688,0.0002659594,0.00008736423,0.001136015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008320221,0.00179529,0.8595794,0.002115249,0.0004275893,0.0002618812,0.1277318,0.000007521727,0.000009565056,0.00003122515,0.00265069,0.00455778],"study_design_scores_gemma":[0.005769935,0.001875872,0.9721298,0.0002789543,0.0004937063,0.000008579506,0.01371203,0.005049636,0.00006203141,0.00002649044,0.0003507201,0.0002422777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935057,0.00001029107,0.001381384,0.0008340878,0.00009404845,0.002019454,0.00001974406,0.0001745742,0.001960726],"genre_scores_gemma":[0.9924594,0.000007055776,0.0003415032,0.006832611,0.0001097862,0.0000893472,0.0001021446,0.0000127999,0.00004540972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1140198,"threshold_uncertainty_score":0.7147868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02592301407061308,"score_gpt":0.3031165851463938,"score_spread":0.2771935710757807,"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."}}