{"id":"W6931227442","doi":"10.5281/zenodo.4790996","title":"DE LA COMPÉTENCE PRAGMATIQUE EN LANGUE SECONDE: UNE ÉTUDE DES RÉPONSES AUX COMPLIMENTS EN FRANÇAIS L1 ET L2 EN CONTEXTE CANADIEN","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Expansive; Realization (probability); Competence (human resources); Pragmatics; French","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001540516,0.0001375887,0.0001461809,0.0001205099,0.001148715,0.001028645,0.001371865,0.00007556019,0.001278775],"category_scores_gemma":[0.001580086,0.0001468208,0.00003483296,0.0005258605,0.0001411249,0.000419395,0.001179651,0.0004096109,0.001298306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001758454,"about_ca_system_score_gemma":0.00003815015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001384213,"about_ca_topic_score_gemma":0.0001001493,"domain_scores_codex":[0.996239,0.002521675,0.0002132368,0.0004299948,0.0002771174,0.0003189436],"domain_scores_gemma":[0.9984672,0.0003166517,0.00008962023,0.0005869608,0.0003503445,0.0001892453],"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":[0.00008078525,0.0007230685,0.002035281,0.0003702611,0.0002690141,0.000459813,0.08670729,0.002201145,0.04870319,0.4081854,0.09537986,0.3548849],"study_design_scores_gemma":[0.0006574828,0.0001453634,0.2007418,0.00008922152,0.00001352801,0.0006106082,0.0008275115,0.02253685,0.001126198,0.001016403,0.7719267,0.0003084075],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2349716,0.0002907209,0.6066271,0.01077147,0.0001497519,0.0005664374,0.0004057806,0.001904678,0.1443125],"genre_scores_gemma":[0.9910693,0.00007012687,0.006658659,0.0005334676,0.00003942795,1.610081e-7,0.0007935729,0.0002585778,0.0005767445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7560977,"threshold_uncertainty_score":0.9996342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02207225610253767,"score_gpt":0.2822340948123511,"score_spread":0.2601618387098134,"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."}}