{"id":"W2739489606","doi":"","title":"Images de performance, performances des images / Performance Images, Image Performances","year":2010,"lang":"fr","type":"article","venue":"Ciel variable : art, photo, médias, culture","topic":"Historical and Literary Analyses","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer vision; Artificial intelligence; Computer science; Image (mathematics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00105527,0.001215004,0.0004583101,0.007348466,0.003346358,0.01526807,0.0008290253,0.002084416,0.08130263],"category_scores_gemma":[0.003976657,0.0003124943,0.0002495745,0.009023638,0.004510964,0.007489923,0.001739493,0.003029685,0.0155491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005355419,"about_ca_system_score_gemma":0.001779451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02322494,"about_ca_topic_score_gemma":0.01808044,"domain_scores_codex":[0.9980562,0.0005430128,0.0001069778,0.000282373,0.0008349435,0.0001765314],"domain_scores_gemma":[0.9987745,0.0003590549,0.0001980621,0.0001329531,0.0003638299,0.0001715701],"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":[0.00007123331,0.00004282344,0.0005112639,0.0005673439,0.00000982768,0.0001254785,0.003104131,0.0001398106,0.0008682754,0.7273297,0.1306737,0.1365564],"study_design_scores_gemma":[0.000007944628,0.00001218254,0.003593011,0.0001572781,0.00000476066,0.0003747968,0.00203482,0.0000884993,0.0003370801,0.01362643,0.9797485,0.00001464628],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009553072,0.05554187,0.003463885,0.006465652,0.005100309,0.00003610275,0.001590418,0.0003408123,0.9179079],"genre_scores_gemma":[0.3511762,0.07222389,0.006971361,0.001087023,0.01590894,0.0001897163,0.003367383,0.001008164,0.5480672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08130263,"threshold_uncertainty_score":0.2719844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01647423023320699,"score_gpt":0.2284562467476177,"score_spread":0.2119820165144108,"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."}}