{"id":"W2024135507","doi":"10.7202/001880ar","title":"Un projet terminologique : l'observatoire de néologismes scientifiques et techniques du portugais du Brésil","year":2002,"lang":"fr","type":"article","venue":"Meta Journal des traducteurs","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0102776,0.0007505045,0.0007405134,0.004660378,0.003429966,0.006216651,0.001185356,0.001596259,0.009585294],"category_scores_gemma":[0.01777728,0.0005823761,0.001187207,0.007048567,0.004581306,0.005783149,0.004097426,0.003367987,0.001782557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003792719,"about_ca_system_score_gemma":0.007629433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.024842,"about_ca_topic_score_gemma":0.02432744,"domain_scores_codex":[0.9914293,0.005152834,0.0004561426,0.0009734709,0.001721074,0.0002673402],"domain_scores_gemma":[0.9865502,0.006108632,0.0006429201,0.002840321,0.003331908,0.0005259252],"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":[0.0003129565,0.0002285634,0.02354083,0.001648384,0.0001342452,0.00077124,0.1141801,0.002256112,0.01729588,0.4457268,0.00874012,0.3851648],"study_design_scores_gemma":[0.0002510245,0.0004083288,0.04065163,0.001097603,0.0001522903,0.001495631,0.07184658,0.006689363,0.01517709,0.1110844,0.7509687,0.0001774148],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3217472,0.006780118,0.4827346,0.008061348,0.0007910276,0.001218354,0.003566507,0.001508904,0.173592],"genre_scores_gemma":[0.5649121,0.004400263,0.376258,0.0009199343,0.0003049982,0.001437396,0.00383728,0.00155353,0.04637644],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.024842,"threshold_uncertainty_score":0.05435377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05889734313054691,"score_gpt":0.2522894775250984,"score_spread":0.1933921343945515,"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."}}