{"id":"W3008086335","doi":"10.1016/s2589-7500(20)30020-0","title":"3D technology and telemedicine in humanitarian settings","year":2020,"lang":"en","type":"article","venue":"The Lancet Digital Health","topic":"Burn Injury Management and Outcomes","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Rehabilitation; Psychosocial; Telemedicine; Scopus; Health care; MEDLINE; Medical emergency; Physical therapy","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":[],"consensus_categories":[],"category_scores_codex":[0.0001786771,0.00008314524,0.0003306823,0.00009136264,0.00005088666,0.00002043052,0.00009707674,0.00002983682,0.0000183566],"category_scores_gemma":[0.0001127279,0.00005298129,0.00001395974,0.0003346303,0.00009135092,0.00007144437,0.0000837835,0.0002380194,0.00002554354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002001602,"about_ca_system_score_gemma":0.00002705994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001621828,"about_ca_topic_score_gemma":0.00001446079,"domain_scores_codex":[0.9992779,0.000009918915,0.0001892091,0.0001498423,0.0001016288,0.0002714823],"domain_scores_gemma":[0.999661,0.00003728595,0.00005025796,0.0001594604,0.00001036264,0.00008159001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003379321,0.00007015227,0.6958663,0.0008889283,0.00004563261,0.0000928195,0.002501675,4.929273e-7,0.00001893992,0.02592815,0.04982872,0.2244203],"study_design_scores_gemma":[0.006066559,0.002149758,0.4041942,0.0003941456,0.0000276855,0.00007611466,0.003007297,0.0003695545,0.00002555708,0.00810024,0.5753384,0.0002505583],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4417976,0.0007110386,0.00003566852,0.5432607,0.00004139992,0.0004154882,0.000008018395,0.0001354922,0.01359462],"genre_scores_gemma":[0.9587345,0.0001077145,0.000149643,0.04037512,0.0002989253,0.000005480203,0.00001375485,0.00001017645,0.0003046595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5255096,"threshold_uncertainty_score":0.2160514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0351239389582006,"score_gpt":0.3107219128304666,"score_spread":0.275597973872266,"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."}}