{"id":"W7027939398","doi":"","title":"Description du lexique spécialisé chinois et constitution d'une ressource didactique adaptée pour locuteurs non sinophones","year":2022,"lang":"fr","type":"dissertation","venue":"Papyrus : Institutional Repository (Université de Montréal)","topic":"Digital Innovation in Industries","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stylistics; Cognitive semantics; Lexicology","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":[0.001150499,0.0007255999,0.0005458648,0.002133413,0.0008091481,0.003306994,0.0008526674,0.0008076702,0.01501327],"category_scores_gemma":[0.00336181,0.0005474005,0.0009408582,0.001851465,0.001841987,0.003620184,0.002175657,0.001264775,0.004204663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001856085,"about_ca_system_score_gemma":0.002466646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01864813,"about_ca_topic_score_gemma":0.02463767,"domain_scores_codex":[0.9988426,0.0003036727,0.0001226913,0.0002880991,0.0003695411,0.00007331806],"domain_scores_gemma":[0.9985616,0.0004774026,0.000065485,0.000431638,0.000422864,0.00004116552],"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":[0.0002998297,0.0001019057,0.007684664,0.001428511,0.0001179454,0.001343431,0.02170818,0.004527194,0.06712002,0.3473893,0.01931903,0.52896],"study_design_scores_gemma":[0.00008217354,0.0001787077,0.009357506,0.000500383,0.0001697175,0.001524596,0.008707723,0.0275855,0.06187044,0.05767741,0.8321319,0.0002138878],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.08254088,0.001166771,0.8146474,0.001571639,0.0003293974,0.0006481529,0.003428555,0.006545241,0.0891219],"genre_scores_gemma":[0.3660442,0.00127965,0.517903,0.0004803215,0.00007973814,0.0007849315,0.00595355,0.002809311,0.1046653],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01864813,"threshold_uncertainty_score":0.05022442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116188607614684,"score_gpt":0.187993290526878,"score_spread":0.1763744297654096,"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."}}