{"id":"W2729696150","doi":"","title":"Performance pour l’image / Image as Performance","year":2006,"lang":"fr","type":"article","venue":"Ciel variable : art, photo, médias, culture","topic":"Theatre and Performance Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Image (mathematics); Computer vision; Computer science; Artificial intelligence","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":[0.003145173,0.002972678,0.001059929,0.003360077,0.004848133,0.02286067,0.001149288,0.004707626,0.05844579],"category_scores_gemma":[0.00689003,0.0004471777,0.0009701388,0.002712321,0.01202243,0.01401416,0.00422956,0.01174805,0.01267578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009122681,"about_ca_system_score_gemma":0.003157972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02753211,"about_ca_topic_score_gemma":0.01497133,"domain_scores_codex":[0.9922621,0.003524832,0.0002547354,0.0007593175,0.002514851,0.0006839839],"domain_scores_gemma":[0.99742,0.0008099783,0.0002522532,0.0003674909,0.0007265236,0.0004237989],"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":[0.00005982605,0.00005294924,0.0003026699,0.000127371,0.00001614654,0.00009293874,0.002936119,0.0002571986,0.0007296675,0.930995,0.03060764,0.03382251],"study_design_scores_gemma":[0.00003699582,0.00005522349,0.00252358,0.0002116785,0.00001356218,0.0006129474,0.005572507,0.0006998944,0.001475157,0.05477628,0.9339566,0.00006551544],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01179386,0.01082105,0.01127483,0.02919935,0.006857242,0.00004072646,0.0004374693,0.0004624435,0.9291131],"genre_scores_gemma":[0.5570086,0.009893199,0.008950846,0.003404625,0.009159395,0.0001921055,0.0006232838,0.001477791,0.4092902],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05844579,"threshold_uncertainty_score":0.1955206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445920740287424,"score_gpt":0.2230073256908436,"score_spread":0.2085481182879694,"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."}}