{"id":"W1981983580","doi":"10.7202/003967ar","title":"Israeli Market Needs for Arabic Translations","year":2002,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Language, Linguistics, Cultural Analysis","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Arabic; Linguistics; History; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003142414,0.0002123328,0.0003772632,0.0002314532,0.0008351119,0.0004970411,0.0002445361,0.0000362728,0.02103613],"category_scores_gemma":[0.0002208635,0.0001390229,0.0006981334,0.0001166596,0.0002373914,0.0003075215,0.000006158763,0.0002218502,0.00006453061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003218251,"about_ca_system_score_gemma":0.000007623421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004160373,"about_ca_topic_score_gemma":0.000346217,"domain_scores_codex":[0.9987537,0.0000894751,0.0004340915,0.000152383,0.0002374415,0.0003328969],"domain_scores_gemma":[0.9990742,0.0001258218,0.000151792,0.0001577456,0.0003407598,0.0001496913],"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":[0.0001156073,0.0007605254,0.0002973472,0.0002610232,0.01201093,0.0001189669,0.1282919,0.0002429525,0.0005931249,0.4091383,0.2421671,0.2060023],"study_design_scores_gemma":[0.0004869319,0.000104527,0.0001103885,0.00001836207,0.003773108,0.0001053911,0.002184578,0.001191082,0.00004921501,0.03633645,0.955321,0.0003189403],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1762129,0.3734932,0.07923447,0.02740426,0.01334178,0.002343999,0.001472295,0.0009561054,0.325541],"genre_scores_gemma":[0.8332998,0.004157504,0.004725232,0.0008416809,0.006113518,0.00004040777,0.00002860388,0.00007998239,0.1507133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.713154,"threshold_uncertainty_score":0.9798588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08433223858383544,"score_gpt":0.2492913100214592,"score_spread":0.1649590714376237,"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."}}