{"id":"W2523769980","doi":"10.18162/ritpu.2007.138","title":"Un multi-outil adapté au parcours cognitif de l’étudiant en traduction spécialisée : application à la biomédecine","year":2007,"lang":"fr","type":"article","venue":"Revue internationale des technologies en pédagogie universitaire","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006525943,0.001643183,0.001039144,0.002273958,0.001075279,0.007120157,0.002503201,0.002835172,0.01640656],"category_scores_gemma":[0.01459348,0.0008814108,0.000878265,0.0009829603,0.001510089,0.006668711,0.005715345,0.001604476,0.004339791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230437,"about_ca_system_score_gemma":0.002594235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003128838,"about_ca_topic_score_gemma":0.003985008,"domain_scores_codex":[0.9957211,0.001617875,0.0002766986,0.001019902,0.001089561,0.0002748298],"domain_scores_gemma":[0.9868868,0.006161337,0.001177533,0.001735299,0.002671865,0.001367139],"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":[0.002050074,0.001609911,0.01361934,0.001863783,0.0002280185,0.000849943,0.009344957,0.007468162,0.05204736,0.02330576,0.01440692,0.8732058],"study_design_scores_gemma":[0.0006406014,0.006247769,0.04063426,0.002992073,0.001171548,0.004908206,0.009974161,0.3357892,0.100542,0.07978942,0.4162533,0.001057483],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0856103,0.002675563,0.8427987,0.00439269,0.0006633229,0.00137794,0.0005469474,0.01542562,0.04650893],"genre_scores_gemma":[0.3160759,0.001480373,0.6459162,0.001723416,0.0003341175,0.001143779,0.0007813211,0.001058126,0.03148684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01640656,"threshold_uncertainty_score":0.05488545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303378890612319,"score_gpt":0.2856663779589817,"score_spread":0.2626325890528585,"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."}}