{"id":"W2059695557","doi":"10.7202/1012751ar","title":"Public Service Interpreting and Translation: Moving Towards a (Virtual) Community of Practice","year":2012,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public relations; Government (linguistics); Constructive; Context (archaeology); Face (sociological concept); Service (business); Quality (philosophy); Knowledge management; Work (physics); Set (abstract data type); Computer science; Political science; Engineering ethics; Sociology; Business; Engineering; Linguistics","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":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008878639,0.0001774488,0.0004139483,0.000166919,0.002072015,0.00004152437,0.0004775914,0.0001492426,0.0002068594],"category_scores_gemma":[0.003235105,0.0001475446,0.0001234346,0.0003653597,0.0001371277,0.001148374,0.0001443874,0.002758535,0.00001149719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001147906,"about_ca_system_score_gemma":0.0002221062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008226038,"about_ca_topic_score_gemma":0.0001349487,"domain_scores_codex":[0.9891534,0.008960367,0.0009662822,0.00009944705,0.0003049364,0.0005155608],"domain_scores_gemma":[0.9937587,0.00363265,0.000776936,0.0004845427,0.001030286,0.0003168242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003547571,0.0005280661,0.05283149,0.001568456,0.001414814,0.000002638717,0.3479724,0.00001498829,0.001256378,0.01854661,0.000484553,0.5750248],"study_design_scores_gemma":[0.004007393,0.001455061,0.1186986,0.006032044,0.00424437,0.002708841,0.4030603,0.001896698,0.0007490339,0.01881345,0.4366031,0.001731046],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8772647,0.06805564,0.01114733,0.02679742,0.00132411,0.0004722968,0.00002066806,0.0001123685,0.01480552],"genre_scores_gemma":[0.9826524,0.00409703,0.01059993,0.002328065,0.0001875578,0.00003029947,0.000005066418,0.00003062436,0.00006901132],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5732938,"threshold_uncertainty_score":0.9995421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2572988540786738,"score_gpt":0.4412234749956479,"score_spread":0.1839246209169741,"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."}}