{"id":"W2075296762","doi":"10.1093/fs/kns110","title":"Correspondance générale, <i>VIII</i> : 1828–1830 F <scp>rançois-</scp> R <scp>ené de</scp> C <scp>hateaubriand</scp> : <i>Correspondance générale</i> , VIII: <i>1828–1830.</i> Textes établis et annotés par P <scp>ierre</scp> R <scp>iberette</scp> et A <scp>gnès</scp> K <scp>ettler</scp> . Paris: Gallimard, 2010. 658 pp.","year":2012,"lang":"fr","type":"article","venue":"French Studies","topic":"Literature and Culture Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Context (archaeology); Style (visual arts); History; Period (music); Art; Variety (cybernetics); Art history; Classics; Humanities; Literature; Archaeology; Computer science; Aesthetics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.01196263,0.01337352,0.01415621,0.003140057,0.01341126,0.009320721,0.009161414,0.006027944,0.0002367543],"category_scores_gemma":[0.04467883,0.01326789,0.006435198,0.007422391,0.01220518,0.0130625,0.00738871,0.01417821,0.005804943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002432961,"about_ca_system_score_gemma":0.002800396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002832462,"about_ca_topic_score_gemma":0.007053977,"domain_scores_codex":[0.9416272,0.007699761,0.01047675,0.01103115,0.008722371,0.02044277],"domain_scores_gemma":[0.9132822,0.05619415,0.008495445,0.008296438,0.007804183,0.005927589],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004374209,0.004226086,0.02059819,0.003600962,0.008236121,0.001161512,0.2104186,0.0003199525,0.002337528,0.0103329,0.7377989,0.0009255176],"study_design_scores_gemma":[0.008670394,0.002586124,0.01450333,0.005820632,0.005219023,0.0008576293,0.1334187,0.0001809027,0.005650102,0.006429006,0.8155022,0.001161941],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.2149482,0.5363874,0.0003933437,0.002697638,0.02987915,0.007788553,0.01524486,0.00356343,0.1890974],"genre_scores_gemma":[0.07657594,0.2094708,0.003339396,0.02503671,0.02737381,0.00760338,0.004047383,0.003123382,0.6434292],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4543317,"threshold_uncertainty_score":0.9961995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02202009595625347,"score_gpt":0.2583530849465159,"score_spread":0.2363329889902624,"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."}}