{"id":"W1812429431","doi":"10.17118/11143/7980","title":"Les internautes font la police: purisme langagier et surveillance du discours d'information en contexte numérique","year":2015,"lang":"fr","type":"article","venue":"Circula","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Font; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009092963,0.0002535127,0.0003362089,0.0001166892,0.0002281304,0.0008408861,0.0002541675,0.0001427565,0.000571326],"category_scores_gemma":[0.0003726399,0.0002293532,0.0002061856,0.00004601885,0.0003227269,0.0005059179,0.00009332586,0.0002733026,0.0003816336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000133852,"about_ca_system_score_gemma":0.000144804,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0450888,"about_ca_topic_score_gemma":0.009220714,"domain_scores_codex":[0.9984778,0.0003212475,0.000402695,0.0001923478,0.0002872946,0.0003185851],"domain_scores_gemma":[0.9986442,0.0002305766,0.000218768,0.0002955762,0.0004132557,0.0001975897],"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":[0.00001454791,0.00008608949,0.005128379,0.00007117986,0.0002003171,0.00002062073,0.08381089,0.0002047212,0.000002335178,0.886021,0.02156898,0.002871008],"study_design_scores_gemma":[0.0005925202,0.00004652967,0.003246709,0.0001299987,0.00007253459,0.00001943165,0.03810199,0.002088393,0.000008629507,0.008441674,0.946884,0.0003676416],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08779373,0.007092554,0.00365293,0.02537032,0.003234093,0.0002930347,0.0008551876,0.0001286627,0.8715795],"genre_scores_gemma":[0.9837057,0.0005336987,0.00002974525,0.0005434916,0.00287706,0.00001728997,0.0002009698,0.00002821956,0.01206381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.925315,"threshold_uncertainty_score":0.96127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02691102742589121,"score_gpt":0.2906242000896277,"score_spread":0.2637131726637366,"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."}}