{"id":"W2977724833","doi":"10.2196/14531","title":"A Smartphone App for Improving Clinical Photography in Emergency Departments: Comparative Study","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Upload; Photography; Digital photography; Digital camera; Camera phone; mHealth; Computer science; Smartphone app; Emergency department; Digital health; Multimedia; Medicine; Medical emergency; Internet privacy; Artificial intelligence; World Wide Web; Nursing; Health care","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":[0.001325574,0.0002227065,0.0008570185,0.0002689148,0.00007548327,0.00001340787,0.00008454348,0.000077819,0.00003799003],"category_scores_gemma":[0.00009133943,0.0001840605,0.00008831227,0.0004199095,0.00007479479,0.0001308616,0.00004225695,0.0003934507,0.00002738083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007932613,"about_ca_system_score_gemma":0.0003105954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000199729,"about_ca_topic_score_gemma":0.0001756482,"domain_scores_codex":[0.997324,0.000115142,0.001080097,0.0005814698,0.0002870571,0.000612265],"domain_scores_gemma":[0.9985212,0.0001691358,0.000273165,0.0003514913,0.0001100914,0.0005749287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001279661,0.002256776,0.9761738,0.001797847,0.00003656655,0.000009800414,0.001886158,2.93569e-7,0.00002335429,0.00003431908,0.002852611,0.01364879],"study_design_scores_gemma":[0.01210086,0.007433463,0.9731839,0.00009664626,0.0001015226,0.00001477832,0.003449108,0.0007446149,0.000005602077,0.0001296135,0.002563734,0.0001761999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900388,0.0008817982,0.00007524977,0.0008339291,0.0007460351,0.005763209,0.00001687233,0.00007489411,0.001569211],"genre_scores_gemma":[0.9964436,0.0002186194,0.0007789955,0.001552508,0.0002122634,0.0003781336,0.00004977872,0.00002735876,0.0003387826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01347259,"threshold_uncertainty_score":0.7505769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09719706247580406,"score_gpt":0.4740223692465502,"score_spread":0.3768253067707461,"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."}}