{"id":"W4236983328","doi":"10.31338/uw.9788323547945","title":"Déchiffrer l’Amérique. Mélanges offerts à Józef Kwaterko","year":2020,"lang":"en","type":"book","venue":"","topic":"European Cultural and National Identity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variety (cybernetics); Reading (process); Panorama; Diversity (politics); Anthropology; Art history; Humanities; Art; History; Sociology; Visual arts; Philosophy; Linguistics","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":[0.0004499082,0.0006528576,0.0002487895,0.0008380761,0.003119221,0.002645209,0.000236204,0.0009732618,0.03189114],"category_scores_gemma":[0.0008811649,0.0002947311,0.0002230107,0.0006933754,0.001082868,0.002309749,0.001021939,0.002451453,0.01418434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002987417,"about_ca_system_score_gemma":0.001621781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03734178,"about_ca_topic_score_gemma":0.09672731,"domain_scores_codex":[0.99978,0.00004365091,0.000004743567,0.00003993785,0.00009561999,0.00003609282],"domain_scores_gemma":[0.9997458,0.0000613386,0.00001548304,0.00001055466,0.0001173324,0.00004942788],"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":[0.00001580227,0.000013047,0.0001454392,0.00006354647,0.000002063175,0.000122512,0.001344173,0.00003056787,0.0002377022,0.0216205,0.9440492,0.0323555],"study_design_scores_gemma":[6.124395e-7,0.000001642967,0.0001775431,0.00003322008,3.793245e-7,0.00007263334,0.0002544168,0.000008975485,0.0000223244,0.0002740464,0.9991527,0.000001429767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003789647,0.1542557,0.0007287539,0.06401373,0.02509043,0.00003605129,0.0002305717,0.000217178,0.751638],"genre_scores_gemma":[0.009684796,0.0164658,0.0003600064,0.004975412,0.001274569,0.00001416849,0.00006095086,0.0001219894,0.9670423],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03734178,"threshold_uncertainty_score":0.1066865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04893441113101883,"score_gpt":0.2880946343482087,"score_spread":0.2391602232171899,"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."}}