{"id":"W2216278030","doi":"","title":"Les nombres, la machine, et au-delà. Le Mois Multi 9e édition (in_ex). Québec. Février et septembre 2008Le Mois Multi 9e édition (in_ex). Québec. Février et septembre 2008","year":2008,"lang":"fr","type":"article","venue":"ETC","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":[0.0008664131,0.001002566,0.0007255953,0.002441177,0.00265289,0.005594629,0.001032544,0.00148231,0.1965938],"category_scores_gemma":[0.002925849,0.000815718,0.0004238616,0.004857602,0.002435945,0.002880543,0.0008614107,0.001840676,0.04065758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02152686,"about_ca_system_score_gemma":0.01356519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8580205,"about_ca_topic_score_gemma":0.9445364,"domain_scores_codex":[0.9991991,0.00008387099,0.00003655139,0.0001112321,0.0004763739,0.00009296998],"domain_scores_gemma":[0.9981559,0.0002901744,0.00006785779,0.0001546325,0.001135411,0.0001960183],"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":[0.00002999269,0.000009107023,0.0006871841,0.0001188492,0.000005740146,0.00003912628,0.000530242,0.000151238,0.0002761724,0.01464864,0.9256445,0.0578591],"study_design_scores_gemma":[0.000002489088,0.000003877885,0.002715764,0.0001112685,0.000002412822,0.00004029589,0.0002874123,0.00007492352,0.0001030143,0.001262447,0.9953862,0.000009966032],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004798034,0.1519943,0.005182474,0.05035042,0.01588339,0.0000480285,0.02119291,0.00115976,0.7493906],"genre_scores_gemma":[0.01729798,0.01915683,0.001398428,0.001432988,0.0007119999,0.00002227935,0.002888538,0.0004559653,0.956635],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1965938,"threshold_uncertainty_score":0.6576717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1715148887031261,"score_gpt":0.3197157357490785,"score_spread":0.1482008470459525,"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."}}