{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","sts","scholarly_communication","insufficient_payload"],"category_scores_codex":[0.03502309,0.0006514713,0.0008635261,0.001938162,0.007054744,0.006521841,0.01126717,0.0007560657,0.01230574],"category_scores_gemma":[0.06960999,0.0006102861,0.0002185208,0.01843627,0.008293598,0.02462763,0.005997151,0.004635303,0.001827971],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.003859397,"about_ca_system_score_gemma":0.05101286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001650887,"about_ca_topic_score_gemma":0.0003851054,"domain_scores_codex":[0.9825608,0.001154185,0.002321985,0.002763552,0.007104997,0.004094553],"domain_scores_gemma":[0.9800991,0.00180378,0.001196195,0.003960594,0.01037727,0.002563019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002234166,0.00122913,0.07902437,0.0007656588,0.0001066739,0.0002693212,0.06384361,0.0002716871,0.02413537,0.03697009,0.6632982,0.1298625],"study_design_scores_gemma":[0.007518318,0.0007302203,0.0293194,0.01009802,0.0001043361,0.0005463638,0.2395879,0.08710752,0.003976779,0.00754748,0.6068727,0.00659092],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2617512,0.0002842378,0.0007062152,0.09496137,0.01412236,0.001100306,0.0000284933,0.0009981029,0.6260477],"genre_scores_gemma":[0.9566494,0.00001877431,0.009172158,0.02774028,0.0005096085,0.0001723908,0.00009054663,0.00008815156,0.005558693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6948982,"threshold_uncertainty_score":0.9999646,"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."}}