{"id":"W7014246784","doi":"","title":"Orthographe et langue dans les SMS : Conclusions à partir de quatre corpus francophones","year":2010,"lang":"fr","type":"article","venue":"Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B))","topic":"Digital Communication and Language","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"French; Identity (music); Context (archaeology); German","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":["metaepi_narrow","sts","scholarly_communication","open_science"],"consensus_categories":["sts","open_science"],"category_scores_codex":[0.0009970987,0.00109348,0.00103391,0.001021695,0.003889168,0.003907313,0.006070358,0.000869047,0.0008783282],"category_scores_gemma":[0.0003343395,0.001144276,0.0007622587,0.003099618,0.003056424,0.003294386,0.008557261,0.001992957,0.0001336341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001009937,"about_ca_system_score_gemma":0.001124272,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008723876,"about_ca_topic_score_gemma":0.005750511,"domain_scores_codex":[0.9945537,0.00101316,0.0005599741,0.001363984,0.0007273122,0.001781852],"domain_scores_gemma":[0.9936562,0.001576523,0.0006153545,0.002093044,0.0004522221,0.001606646],"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":[0.001026197,0.0003871571,0.01284692,0.0001279537,0.000372758,0.002032694,0.2323949,0.0003429604,0.0007881835,0.7229559,0.004199485,0.02252483],"study_design_scores_gemma":[0.004050527,0.0003121628,0.02250726,0.0002785065,0.0003534774,0.001005375,0.01583507,0.00447064,0.0006933651,0.0055119,0.9433836,0.001598068],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5930233,0.002549591,0.02126708,0.03535333,0.0006715141,0.001100205,0.0009307285,0.000603113,0.3445011],"genre_scores_gemma":[0.9440843,0.001291295,0.002724363,0.003725452,0.0001406046,0.00001045389,0.0003564202,0.0001252956,0.04754175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9391842,"threshold_uncertainty_score":0.9996567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01295013515191019,"score_gpt":0.2208396923377763,"score_spread":0.2078895571858661,"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."}}