{"id":"W2737180810","doi":"","title":"Aux confins de l’oeuvre / Art on the Edge","year":2005,"lang":"fr","type":"article","venue":"Espace Sculpture","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Enhanced Data Rates for GSM Evolution; Art; 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":[0.001309241,0.0004672044,0.0002253575,0.001744498,0.005376766,0.01087849,0.0007396945,0.002162434,0.03475292],"category_scores_gemma":[0.003868847,0.0001862863,0.000446679,0.001488513,0.009191588,0.005364912,0.004241092,0.00432546,0.002942389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002350704,"about_ca_system_score_gemma":0.001019716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007840926,"about_ca_topic_score_gemma":0.01522109,"domain_scores_codex":[0.9984876,0.000626254,0.00002427438,0.0001271011,0.0005409949,0.0001937892],"domain_scores_gemma":[0.9987877,0.0005545341,0.00006220365,0.0002468235,0.0001947775,0.000154066],"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":[0.0001587313,0.00006311675,0.0013115,0.000151291,0.00001740647,0.001324829,0.05280723,0.0005824491,0.00190508,0.736486,0.05252556,0.1526668],"study_design_scores_gemma":[0.00001479966,0.00002784753,0.00247472,0.0003442306,0.000008878674,0.001140672,0.03255182,0.000538639,0.001371183,0.06264146,0.8988567,0.00002899018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05928965,0.004532506,0.005634443,0.01251041,0.001213372,0.0000126834,0.0000684578,0.0001133313,0.9166251],"genre_scores_gemma":[0.7478549,0.00361789,0.004723019,0.002232831,0.0008613591,0.00001801725,0.00007712853,0.000375085,0.2402397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03475292,"threshold_uncertainty_score":0.1162602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1558615634241068,"score_gpt":0.3037089621502606,"score_spread":0.1478473987261539,"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."}}