{"id":"W2927022403","doi":"10.1002/hep4.1340","title":"Telemedicine: An Evolving Field in Hepatology","year":2019,"lang":"en","type":"article","venue":"Hepatology Communications","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Allergan; Gilead Sciences; Bristol-Myers Squibb","keywords":"Telemedicine; Reimbursement; Medicine; Health care; Hepatology; Modalities; Medical emergency; Internal medicine; Political science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001153374,0.0001156093,0.0003430168,0.000169456,0.00006902329,0.000006557171,0.0003202154,0.0001297607,0.0009396391],"category_scores_gemma":[0.0001063173,0.0001041022,0.00006220846,0.0001935192,0.00009714659,0.00009882417,0.0001578584,0.000261957,0.0002979781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009395944,"about_ca_system_score_gemma":0.0001717791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008335696,"about_ca_topic_score_gemma":0.001330752,"domain_scores_codex":[0.9990129,0.0001702339,0.000276351,0.0002274133,0.00008323246,0.0002298118],"domain_scores_gemma":[0.997501,0.0004330232,0.0000590119,0.001799216,0.00008589614,0.000121844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003069273,0.0008068014,0.9894894,0.00001788815,0.00005281839,0.00003785291,0.0002365792,3.173019e-7,0.00007768201,0.005596686,0.00146971,0.002183596],"study_design_scores_gemma":[0.002858022,0.0006928039,0.9709571,0.00008476356,0.0001636547,0.0001673006,0.0004000519,0.005328617,0.0002460395,0.0007502991,0.01817531,0.0001760241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9568858,0.002332818,0.0000108784,0.0186775,0.0001117717,0.0005102514,0.000005073171,0.00006511705,0.02140078],"genre_scores_gemma":[0.9930028,0.0009281312,0.001446755,0.004162204,0.00001682892,0.0001461047,0.0001520828,0.00001352463,0.0001315647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03611699,"threshold_uncertainty_score":0.9999737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0263301378511344,"score_gpt":0.3353572931126249,"score_spread":0.3090271552614905,"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."}}