{"id":"W7002144518","doi":"","title":"Medical Interpreting – A Race against Time","year":2021,"lang":"en","type":"article","venue":"Nova Science Publishers (Nova Science Publishers, Inc.)","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Confusion; Interpreter; Dissemination; Field (mathematics); Race (biology); Point (geometry); Health care","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04778012,0.0006625689,0.0009856302,0.002593603,0.01104357,0.02461291,0.002938873,0.009189234,0.01916703],"category_scores_gemma":[0.07728821,0.0007343612,0.0008786705,0.001938802,0.05361026,0.034482,0.01912082,0.01575414,0.004498728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006706363,"about_ca_system_score_gemma":0.008008792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00443871,"about_ca_topic_score_gemma":0.004164696,"domain_scores_codex":[0.9486865,0.03297841,0.002146876,0.005271154,0.008322124,0.002594977],"domain_scores_gemma":[0.8911774,0.07548418,0.007424345,0.009596499,0.00839643,0.007921243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002047761,0.00008093834,0.001836915,0.0007297933,0.00004458698,0.0004420257,0.1116392,0.0002179062,0.0007667405,0.6059714,0.07660367,0.2014621],"study_design_scores_gemma":[0.00002801239,0.0001250004,0.001579714,0.002033627,0.00002012376,0.001298146,0.04822036,0.0001975891,0.0004613167,0.1212421,0.824707,0.00008700594],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01954537,0.04996916,0.01618519,0.6742209,0.00864278,0.00005913321,0.00008522852,0.0002550021,0.2310372],"genre_scores_gemma":[0.5843887,0.05265281,0.02592599,0.2378712,0.01503702,0.0003000521,0.0001206486,0.00158835,0.08211518],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04778012,"threshold_uncertainty_score":0.2526884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05810277758324221,"score_gpt":0.4245746083190546,"score_spread":0.3664718307358124,"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."}}