{"id":"W6998571635","doi":"","title":"Analyse des besoins du marché de la traduction et de l'interprétation : vers l'optimisation de la formation des traducteurs et interprètes professionnels au Nigéria","year":2018,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agrégation; Context (archaeology); Qualitative analysis","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001932936,0.000635543,0.0005248779,0.0003474809,0.001062875,0.0002176256,0.0007879436,0.0009354354,0.00135067],"category_scores_gemma":[0.0003820584,0.0004861528,0.0004677701,0.0009435514,0.001578742,0.001379182,0.0002290078,0.0006771995,0.00005199009],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006687322,"about_ca_system_score_gemma":0.0007760166,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03014951,"about_ca_topic_score_gemma":0.07464316,"domain_scores_codex":[0.9937958,0.003826979,0.0003764087,0.0007798665,0.0004056648,0.0008153158],"domain_scores_gemma":[0.9972665,0.001228746,0.000523212,0.000238479,0.0002897669,0.000453331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.002209399,0.001431797,0.2160312,0.0007302754,0.0006739526,0.0002946671,0.2443029,0.001850286,0.3406989,0.01632378,0.006849521,0.1686033],"study_design_scores_gemma":[0.002865193,0.002392514,0.7712055,0.00207438,0.001337172,0.0006355402,0.1014815,0.007365525,0.03054326,0.01028142,0.06791168,0.001906241],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9523878,0.0003551775,0.004413073,0.003472438,0.0003646146,0.0006434926,0.0001365921,0.0002663972,0.03796043],"genre_scores_gemma":[0.9637803,0.004171037,0.003446136,0.0001207294,0.0003220623,0.000005432803,0.0003899939,0.0000413448,0.02772291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5551744,"threshold_uncertainty_score":0.999759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287366586379482,"score_gpt":0.230461914569013,"score_spread":0.2175882487052182,"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."}}