{"id":"W4382282550","doi":"10.4000/traduire.3545","title":"Le bien-être de l’interprète par téléphone. Une étude de terrain","year":2023,"lang":"fr","type":"article","venue":"Traduire","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Historical Studies in Education","funders":"","keywords":"Humanities; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01019304,0.0004720881,0.0004910715,0.0009518688,0.003840221,0.003731784,0.001387801,0.002567223,0.01063466],"category_scores_gemma":[0.05790191,0.0004211457,0.0005653331,0.000950428,0.007802492,0.005715597,0.003291216,0.004659137,0.001493169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002734992,"about_ca_system_score_gemma":0.007596851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01472179,"about_ca_topic_score_gemma":0.01461325,"domain_scores_codex":[0.9832496,0.01402887,0.0003689593,0.0004949894,0.001322382,0.0005351907],"domain_scores_gemma":[0.9712243,0.0209586,0.00180161,0.001737106,0.002508746,0.00176964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001079652,0.0008812648,0.007156885,0.002470012,0.00007968195,0.001125018,0.07252607,0.0005246745,0.002008285,0.05423847,0.02656959,0.8313403],"study_design_scores_gemma":[0.0009953912,0.002870789,0.04337904,0.02114612,0.0003442082,0.008196842,0.2046222,0.002165764,0.004867995,0.1414332,0.5696509,0.0003274909],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3229964,0.154085,0.05723622,0.2277586,0.007140246,0.0008353474,0.0006535904,0.0003872609,0.2289073],"genre_scores_gemma":[0.8977564,0.04522792,0.02369609,0.01277155,0.0010789,0.0008740404,0.0002465283,0.0002241466,0.01812446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01472179,"threshold_uncertainty_score":0.05390656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05511639110147794,"score_gpt":0.4031939262253532,"score_spread":0.3480775351238753,"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."}}