{"id":"W1489544923","doi":"10.26522/vp.v11i2.1096","title":"De trop – l’infini. À l’écoute de Raphaël Cendo avec Jean-Luc Nancy","year":2014,"lang":"fr","type":"article","venue":"Voix Plurielles","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Art; Philosophy; Art history","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00131548,0.001136175,0.0004098422,0.0006480199,0.00575824,0.005380583,0.0008485646,0.002505601,0.01512781],"category_scores_gemma":[0.002487404,0.0003294849,0.0004023424,0.0004487787,0.01281761,0.004710735,0.002857155,0.005555425,0.003623577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00943842,"about_ca_system_score_gemma":0.003161894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06827364,"about_ca_topic_score_gemma":0.1110231,"domain_scores_codex":[0.9985161,0.0006134609,0.00003221244,0.0003669442,0.0003274523,0.0001437835],"domain_scores_gemma":[0.999409,0.0002303432,0.00004497112,0.00007624667,0.0001645779,0.0000749878],"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":[0.00003995381,0.0000065375,0.000246128,0.00006125149,0.000005014406,0.0001035618,0.01145425,0.00007767195,0.0005070639,0.9310969,0.04510862,0.011293],"study_design_scores_gemma":[0.000007638235,0.00001779493,0.0005980235,0.0001371045,0.000003230009,0.0001250014,0.003428426,0.0001503558,0.0003147798,0.04862012,0.9465777,0.00001966543],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009310852,0.02701661,0.0115848,0.07811438,0.005746351,0.00006646326,0.0001965418,0.0002733729,0.8676906],"genre_scores_gemma":[0.2654553,0.006850549,0.005113963,0.01550229,0.001537844,0.000155436,0.0000921889,0.0005568012,0.7047356],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06827364,"threshold_uncertainty_score":0.1357525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06994521397404009,"score_gpt":0.2677523117341031,"score_spread":0.1978070977600631,"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."}}