{"id":"W7039073673","doi":"","title":"LE MARCHE DE TRADUCTION AU CANADA ET AU NIGERIA : UNE ENQUETE COMPARATIVE","year":2016,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Contrast (vision); Developing country; Developed country; Key (lock)","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":[0.003747019,0.0004828042,0.0005431843,0.003116128,0.02556769,0.01416103,0.0006981449,0.003382283,0.003415015],"category_scores_gemma":[0.006831845,0.0003600255,0.0002348553,0.009210266,0.01220823,0.004447417,0.00215875,0.00323427,0.0001760824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06881587,"about_ca_system_score_gemma":0.07677452,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.870339,"about_ca_topic_score_gemma":0.9313562,"domain_scores_codex":[0.9961617,0.00122477,0.0001874073,0.000313185,0.001131613,0.0009813849],"domain_scores_gemma":[0.9944531,0.00282286,0.0003496311,0.0001321261,0.001843179,0.0003991014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001763252,0.0000665374,0.007864765,0.001224794,0.00002058799,0.004213109,0.3854035,0.0003569914,0.001362353,0.5010576,0.02369993,0.07455347],"study_design_scores_gemma":[0.000007366174,0.00003195883,0.009944702,0.001742739,0.00002629288,0.0008688642,0.4453318,0.000203798,0.0007625644,0.004500336,0.5365325,0.00004719544],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3394106,0.2584253,0.002170567,0.1007014,0.005586301,0.0001084204,0.0002530685,0.00003074418,0.2933137],"genre_scores_gemma":[0.8854511,0.07787126,0.001644395,0.00366615,0.0004023683,0.00004007035,0.00005429518,0.00003498139,0.03083541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.129661,"threshold_uncertainty_score":0.4992964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.256310081864475,"score_gpt":0.5177755255103897,"score_spread":0.2614654436459148,"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."}}