{"id":"W2592760122","doi":"10.7202/1038912ar","title":"Module NooJ du français. Traitement automatique de corpus de français parlé régional","year":2017,"lang":"fr","type":"article","venue":"Revue de l’Université de Moncton","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Art; Humanities","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.00103856,0.001260126,0.0004374443,0.001939195,0.0009147087,0.002266907,0.0007001287,0.0006391278,0.02266077],"category_scores_gemma":[0.0039193,0.0006280381,0.0007558438,0.001766714,0.0006900846,0.002323878,0.001612812,0.0007684325,0.009199195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509818,"about_ca_system_score_gemma":0.002458479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07137148,"about_ca_topic_score_gemma":0.08177005,"domain_scores_codex":[0.9987724,0.0002034226,0.0001349461,0.0005550987,0.0002178322,0.0001162075],"domain_scores_gemma":[0.9977394,0.0005741905,0.0001452659,0.0004198496,0.001042005,0.00007925744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007839442,0.00009497024,0.01635732,0.002117616,0.0002751298,0.001331721,0.009941043,0.003521948,0.1241735,0.01368934,0.09193678,0.7357767],"study_design_scores_gemma":[0.00008411791,0.0002292181,0.05597034,0.0003812439,0.0002876691,0.001510537,0.005572536,0.02658933,0.1116443,0.00614187,0.7913754,0.0002132961],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2556757,0.002413635,0.5250761,0.002030666,0.0007923789,0.001428348,0.06334189,0.06234136,0.08689987],"genre_scores_gemma":[0.4278066,0.001097174,0.3921181,0.0006338486,0.0001528704,0.0009289537,0.0831068,0.01189958,0.08225591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07137148,"threshold_uncertainty_score":0.1419122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01200926423077003,"score_gpt":0.2253957805149428,"score_spread":0.2133865162841727,"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."}}