{"id":"W3092618987","doi":"10.3917/lige.181.0143","title":"Le mème comme descendance prolifique du Net.Art","year":2020,"lang":"fr","type":"article","venue":"Ligeia","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Art; Humanities","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":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008477323,0.0002706856,0.0002875973,0.00002079002,0.0002042111,0.001519303,0.0006786711,0.000131693,0.00007025291],"category_scores_gemma":[0.0001279151,0.0002348633,0.000135541,0.0004806099,0.0001623954,0.002771017,0.0004114867,0.0002713131,0.002141037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003542611,"about_ca_system_score_gemma":0.0002790065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004348417,"about_ca_topic_score_gemma":0.0001494379,"domain_scores_codex":[0.9983066,0.00007844077,0.0003067643,0.0005032537,0.0002429906,0.0005618967],"domain_scores_gemma":[0.9986882,0.00005591413,0.0001124928,0.0003719047,0.0001467694,0.0006246931],"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":[0.00001677829,0.0001490014,0.0002293325,0.0000885665,0.00002428324,0.0002394332,0.005691751,0.00007029283,0.001161449,0.5978982,0.3851248,0.009306057],"study_design_scores_gemma":[0.0003271624,0.0002425684,0.001737877,0.0001180535,0.000008416653,0.00010552,0.00003151707,0.009172264,0.00451381,0.005849115,0.9775295,0.0003642516],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006890204,0.004709629,0.03944008,0.4303238,0.002013301,0.0005046841,0.00003721789,0.0003936245,0.5156875],"genre_scores_gemma":[0.9184549,0.0001606902,0.002614461,0.02564646,0.001155295,0.000009261401,0.00001102112,0.00002594259,0.05192202],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9115646,"threshold_uncertainty_score":0.9995172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3329167795490694,"score_gpt":0.2876699253329822,"score_spread":0.04524685421608721,"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."}}