{"id":"W4235970192","doi":"10.7202/017814ar","title":"Présentation","year":2007,"lang":"fr","type":"article","venue":"Diversité urbaine","topic":"Linguistics and Discourse Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002523143,0.0001318818,0.0001436645,0.0001297674,0.0004565982,0.0001365788,0.0001084844,0.00005946403,0.01079861],"category_scores_gemma":[0.0000414326,0.0001363138,0.0001458037,0.00006235672,0.0002219249,0.0001192228,0.00005995363,0.000096215,0.000781601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006778933,"about_ca_system_score_gemma":0.00002035301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002801255,"about_ca_topic_score_gemma":0.001000757,"domain_scores_codex":[0.9990902,0.00001553561,0.0001933124,0.0001778667,0.0002170817,0.0003060159],"domain_scores_gemma":[0.999378,0.00006311287,0.00008986859,0.0001399911,0.0002083771,0.0001206815],"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":[0.00002703318,0.0001529273,0.002454674,0.00003544377,0.0001782372,0.0001689643,0.01539337,0.00001277054,0.000008811625,0.9040769,0.07435451,0.003136312],"study_design_scores_gemma":[0.0003718359,0.00006040049,0.003384692,0.00002895239,0.0004742301,0.000001787331,0.006559795,0.0002057954,0.00008272768,0.002405563,0.9862269,0.0001973557],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02631135,0.009818722,0.001100255,0.005085837,0.008687655,0.0001160741,0.0002022084,0.00005154704,0.9486263],"genre_scores_gemma":[0.6317833,0.0002165105,0.0001174249,0.0004861415,0.0137163,3.985631e-7,0.000112168,0.00001358968,0.3535542],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9118723,"threshold_uncertainty_score":0.9999964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02297323664158762,"score_gpt":0.2578447579847341,"score_spread":0.2348715213431464,"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."}}