{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001839526,0.0002477713,0.0005532819,0.000440751,0.0003218724,0.000422395,0.004244448,0.0001176508,0.0002307851],"category_scores_gemma":[0.0002727273,0.0002001626,0.00008975354,0.001001261,0.00020488,0.00278457,0.000735681,0.0003046656,0.000011851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009678863,"about_ca_system_score_gemma":0.004963097,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4447744,"about_ca_topic_score_gemma":0.4422191,"domain_scores_codex":[0.9970505,0.0006161344,0.0006848736,0.0004847927,0.0006957709,0.0004679736],"domain_scores_gemma":[0.9973783,0.0006965038,0.0007285434,0.0006554392,0.0003132103,0.0002280421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009890864,0.0002494492,0.5412134,0.00006336207,0.000386555,0.00008626101,0.002273932,0.0004162403,0.3132526,0.04850446,0.07212537,0.02132941],"study_design_scores_gemma":[0.000665046,0.00001667094,0.8420928,0.0003810182,0.00001388066,0.00009444684,0.0001663982,0.0003379807,0.1004521,0.02806087,0.02722977,0.000488982],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8910145,0.001001874,0.08583055,0.009062336,0.001585974,0.000596282,0.00003796396,0.0001183533,0.01075217],"genre_scores_gemma":[0.9973386,0.0002351844,0.001499703,0.0002684254,0.0001685269,0.00006183943,0.000002868532,0.0000186636,0.0004061716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3008794,"threshold_uncertainty_score":0.880432,"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."}}