{"id":"W3004423472","doi":"","title":"Structuring public service interpreting: the interpreters bank model as an organised response to communication needs","year":2019,"lang":"en","type":"article","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Service (business); Library science; Business; Art; Computer science; Marketing","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":[0.0125126,0.0005347415,0.0003378259,0.0018244,0.01401837,0.0161033,0.002124395,0.004065997,0.006696751],"category_scores_gemma":[0.01563551,0.0005105352,0.0004143874,0.002277501,0.04573528,0.007273264,0.007849276,0.004194655,0.0007783326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02920095,"about_ca_system_score_gemma":0.04430716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1351172,"about_ca_topic_score_gemma":0.2125443,"domain_scores_codex":[0.9769039,0.01812966,0.0003818644,0.0008166061,0.001593748,0.00217436],"domain_scores_gemma":[0.9900973,0.004309776,0.001066927,0.0009565713,0.001316029,0.002253383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005361703,0.00005142172,0.004466953,0.00009796543,0.000008312461,0.0009147887,0.5547097,0.00051972,0.0004188891,0.41474,0.007492884,0.01652579],"study_design_scores_gemma":[0.00005182019,0.0000985279,0.005927383,0.0005210754,0.00002626896,0.0007206245,0.6427613,0.001876813,0.0004209795,0.07421815,0.273286,0.00009106565],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2450639,0.001448616,0.0408463,0.08336217,0.000676616,0.000466471,0.00008392182,0.0002719871,0.62778],"genre_scores_gemma":[0.9733828,0.0003106103,0.005374742,0.001957923,0.00007102956,0.00009281388,0.00002573443,0.0000806687,0.01870374],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1351172,"threshold_uncertainty_score":0.2686614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03955514265969811,"score_gpt":0.3302818769060819,"score_spread":0.2907267342463837,"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."}}