{"id":"W7028215761","doi":"","title":"ERIC ED467155: Particules metadiscursives et autres modes langagieres: des cas de changement linguistique (Metadiscursive Particles and Other Language Modes: Cases of Linguistic Change).","year":2001,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Libraries and Information Services","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"French; Character (mathematics); Second language; State (computer science); Language production","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00138758,0.0003321831,0.0001375415,0.001325792,0.00252016,0.002274071,0.0003958658,0.001161444,0.006748649],"category_scores_gemma":[0.003067156,0.0001632124,0.0001594793,0.001288844,0.00319396,0.00167187,0.00109792,0.0006363992,0.0007256486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003341777,"about_ca_system_score_gemma":0.001119402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1370963,"about_ca_topic_score_gemma":0.1929262,"domain_scores_codex":[0.9993049,0.0002650088,0.00003034135,0.0000844244,0.0002031197,0.0001121364],"domain_scores_gemma":[0.9988236,0.0006699586,0.0001520093,0.00009833934,0.0001667827,0.00008921177],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008889774,0.0001246868,0.1140024,0.0005082893,0.00004655857,0.01925262,0.3707901,0.0004130838,0.01584599,0.1517902,0.03628341,0.2900537],"study_design_scores_gemma":[0.00003559291,0.0001308795,0.2314695,0.0002097301,0.00005362394,0.01240105,0.07855977,0.0008579062,0.01042484,0.006075705,0.6597004,0.00008099747],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8541579,0.008273496,0.005471111,0.007762731,0.000216463,0.00005643237,0.0004636976,0.0001344707,0.1234637],"genre_scores_gemma":[0.9527956,0.001568477,0.002078398,0.0003888215,0.00009020954,0.00002916534,0.0001443594,0.00005069136,0.04285419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1370963,"threshold_uncertainty_score":0.2725966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02728055799929421,"score_gpt":0.2375855943314596,"score_spread":0.2103050363321654,"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."}}