{"id":"W2591195589","doi":"","title":"Emanuel Licha : Et maintenant regardez cette machine","year":2017,"lang":"fr","type":"book","venue":"Musée d'art contemporain de Montréal eBooks","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exhibition; Visual arts; Space (punctuation); Art; Art history; History; Cartography; Geography; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002156999,0.001878951,0.002013895,0.000321118,0.001260839,0.006842867,0.003373127,0.00110442,0.00005309851],"category_scores_gemma":[0.0007896539,0.00146752,0.001251635,0.00007392262,0.001167817,0.001799873,0.00303417,0.002070426,0.0007392158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009438422,"about_ca_system_score_gemma":0.002096082,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01681852,"about_ca_topic_score_gemma":0.03517129,"domain_scores_codex":[0.992174,0.0006160566,0.00166605,0.002047694,0.001176813,0.002319331],"domain_scores_gemma":[0.9917404,0.0004384292,0.001658628,0.003630936,0.0007376394,0.001793939],"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":[0.0002361532,0.0002390211,0.00006589505,0.0003147138,0.0005314708,0.009763614,0.007522239,0.00008135899,0.000538119,0.6719891,0.2707663,0.03795192],"study_design_scores_gemma":[0.00188664,0.0006353813,0.0006234593,0.001726534,0.0001175153,0.001199974,0.00006256196,0.01330215,0.0002398195,0.06205099,0.9163008,0.001854221],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008315867,0.003807299,0.01348598,0.02328909,0.002141488,0.001694517,0.0003983185,0.0004829838,0.9538687],"genre_scores_gemma":[0.1371401,0.000105027,0.002147672,0.01154714,0.0007532923,0.0001025375,0.0002053253,0.0001704446,0.8478285],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6455344,"threshold_uncertainty_score":0.9993955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1598687986712508,"score_gpt":0.2858389413513074,"score_spread":0.1259701426800566,"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."}}