{"id":"W4402425809","doi":"10.1057/s41599-024-03698-8","title":"From crisis to opportunity: advancements in emergency language services","year":2024,"lang":"en","type":"article","venue":"Humanities and Social Sciences Communications","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006467472,0.000083019,0.0001241498,0.0001451663,0.003024619,0.00007108456,0.0008538049,0.00006382321,0.000862931],"category_scores_gemma":[0.00002870405,0.00007951741,0.00002704156,0.0003086739,0.0001521059,0.0002195605,0.0006666778,0.0003786847,0.00008579035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008311201,"about_ca_system_score_gemma":0.0001262285,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02266056,"about_ca_topic_score_gemma":0.0228688,"domain_scores_codex":[0.9985188,0.0005151557,0.0003889611,0.0001781014,0.0001493131,0.0002496555],"domain_scores_gemma":[0.9990433,0.0003294154,0.00006633729,0.0004487718,0.00007234111,0.00003980555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000004779458,0.00003589341,0.006617162,0.0002077099,0.00001229164,7.602754e-7,0.8164561,9.135701e-7,0.00003274779,0.1630908,0.00622905,0.007311779],"study_design_scores_gemma":[0.00006437318,0.00003125423,0.004524242,0.0003716425,0.000009156473,1.248463e-7,0.6969782,0.0006650044,8.553679e-7,0.01397563,0.2832378,0.0001417739],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7263943,0.01332364,0.00006862461,0.07472946,0.00108937,0.0007383591,0.0002772046,0.0003123984,0.1830667],"genre_scores_gemma":[0.9909837,0.002182777,0.0005546403,0.004422544,0.0001386804,0.0002422711,0.00006751611,0.000009270099,0.001398609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2770087,"threshold_uncertainty_score":0.9982733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2577872340218607,"score_gpt":0.5178663885541651,"score_spread":0.2600791545323045,"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."}}