{"id":"W3006162687","doi":"10.7227/jha.025","title":"Medical Documentation in Humanitarian Emergencies","year":2019,"lang":"en","type":"article","venue":"Journal of Humanitarian Affairs","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Response Biomedical (Canada)","funders":"","keywords":"Documentation; Status quo; Health care; Simple (philosophy); Table (database); Public relations; Reflection (computer programming); Business; Internet privacy; Medical emergency; Computer science; Medicine; Political science; Epistemology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00213061,0.0001377083,0.0003274443,0.0004772105,0.0001630759,0.00002166934,0.0003847258,0.0001218093,0.02027183],"category_scores_gemma":[0.0002153329,0.0001167329,0.0001096006,0.0001718353,0.00003355039,0.0005301138,0.0001231792,0.0006823169,0.001387717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002287495,"about_ca_system_score_gemma":0.0003128837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001346483,"about_ca_topic_score_gemma":0.002487574,"domain_scores_codex":[0.9972277,0.0004909696,0.001049143,0.0001459101,0.0007207331,0.0003655975],"domain_scores_gemma":[0.9988191,0.0001865421,0.0004977052,0.0002157469,0.0001352016,0.0001457001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.001803914,0.001413563,0.1039748,0.0009526081,0.0005784602,0.001348333,0.1917875,0.0001315968,0.001257509,0.490487,0.1998698,0.00639492],"study_design_scores_gemma":[0.008233832,0.001583557,0.1053555,0.001595409,0.0001199503,0.00004182272,0.4657378,0.0001010316,0.00002214847,0.02193762,0.3946984,0.0005728735],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7755854,0.000197862,0.0001781361,0.001963049,0.002618065,0.0005070798,0.000001927329,0.00001874993,0.2189298],"genre_scores_gemma":[0.9899279,0.0000687854,0.0001537127,0.0007168981,0.0003970377,0.00001082675,0.000004605858,0.00002186132,0.008698402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4685494,"threshold_uncertainty_score":0.9993898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02691865915028446,"score_gpt":0.3812182880745364,"score_spread":0.3542996289242519,"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."}}