{"id":"W2924132288","doi":"10.7202/1060167ar","title":"La collecte de corpus d’interprétation : un défi permanent","year":2019,"lang":"fr","type":"article","venue":"Meta Journal des traducteurs","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05232069,0.001895637,0.002171632,0.006941359,0.008304131,0.02053749,0.005770918,0.004365548,0.01268904],"category_scores_gemma":[0.1348428,0.002276645,0.001225831,0.008511866,0.01798341,0.0270903,0.01731311,0.009694568,0.007182697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004018885,"about_ca_system_score_gemma":0.008849906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006308736,"about_ca_topic_score_gemma":0.005811413,"domain_scores_codex":[0.9170341,0.05102828,0.007454139,0.009467918,0.01363203,0.00138346],"domain_scores_gemma":[0.8351037,0.09710849,0.006417559,0.04112997,0.01837429,0.001866034],"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":[0.0005408789,0.00007011489,0.003604816,0.002316606,0.0001654472,0.0007173717,0.05229718,0.0005336077,0.006993635,0.7280846,0.04111322,0.1635625],"study_design_scores_gemma":[0.000100487,0.0001231996,0.004620001,0.001584347,0.0000790585,0.001997281,0.01435406,0.001811607,0.005632161,0.1891558,0.7803946,0.0001473572],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03136542,0.01178848,0.7696761,0.04231177,0.004407464,0.002257172,0.009677081,0.002225717,0.1262908],"genre_scores_gemma":[0.220473,0.005027688,0.6929851,0.00923798,0.003240961,0.009648392,0.01326733,0.004552858,0.04156661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05232069,"threshold_uncertainty_score":0.2767016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05120303964238982,"score_gpt":0.3760068066090712,"score_spread":0.3248037669666814,"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."}}