{"id":"W1866594736","doi":"10.4000/traduire.539","title":"Portails de traduction : mode d’emploi","year":2013,"lang":"fr","type":"article","venue":"Traduire","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Historical Studies in Education","funders":"","keywords":"Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007196961,0.0002531882,0.000214954,0.00005027415,0.0001556912,0.001585664,0.000380347,0.0001565096,0.0004500772],"category_scores_gemma":[0.00003049062,0.0002067857,0.0001510573,0.0003163824,0.0001457902,0.006473342,0.00005349514,0.000200316,0.001187548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001103551,"about_ca_system_score_gemma":0.0001385318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005717891,"about_ca_topic_score_gemma":0.00008811744,"domain_scores_codex":[0.9983633,0.00005139207,0.0002935941,0.0003874447,0.0002479767,0.0006563309],"domain_scores_gemma":[0.9988806,0.00003426538,0.00009008463,0.0004058646,0.0001207429,0.0004683919],"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":[0.000006377068,0.0004856752,0.0003460894,0.0001099085,0.000069225,0.0001621961,0.01928407,0.0003813004,0.006304562,0.3870238,0.165868,0.4199588],"study_design_scores_gemma":[0.00146535,0.001004077,0.132163,0.0005478301,0.0001176676,0.003762544,0.001136693,0.1590301,0.01433657,0.3071082,0.3771005,0.002227488],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7677723,0.004886779,0.02463226,0.05874887,0.003265934,0.00062562,0.0000208021,0.0004418359,0.1396056],"genre_scores_gemma":[0.911501,0.0001661157,0.002139769,0.001205285,0.000510218,0.00001580258,0.000007155559,0.0000177662,0.0844369],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4177313,"threshold_uncertainty_score":0.9995902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2387146409817812,"score_gpt":0.3131946294632162,"score_spread":0.07447998848143506,"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."}}