{"id":"W656964910","doi":"","title":"À la guerre comme à la guerre : « L’art qui fait boom ». L’art qui fait boum!, Triennale de la Relève québécoise en arts visuels, commissaire : Véronique Bellemare Brière, Marché Bonsecours. Montréal. 31 mars - 23 avril 2000 L’art qui fait boum!, Triennale de la Relève québécoise en arts visuels, commissaire : Véronique Bellemare Brière, Marché Bonsecours. Montréal. 31 mars - 23 avril 2000","year":2001,"lang":"fr","type":"article","venue":"ETC","topic":"French Historical and Cultural Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Art; Humanities","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006469362,0.0009059216,0.0003453844,0.001244805,0.01418943,0.006735104,0.0010187,0.003151126,0.03085666],"category_scores_gemma":[0.001032189,0.0004005133,0.0002531528,0.002846544,0.006684937,0.003040664,0.001369915,0.003033454,0.002992241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03093193,"about_ca_system_score_gemma":0.01617101,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9544988,"about_ca_topic_score_gemma":0.9875596,"domain_scores_codex":[0.9993696,0.0001764269,0.0000126074,0.00008383604,0.0001329049,0.0002245973],"domain_scores_gemma":[0.9996628,0.00007390194,0.0000314754,0.00001640928,0.0001100775,0.0001054156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004453202,0.00001839711,0.0009963817,0.0002927018,0.00001060167,0.0003111657,0.04456386,0.00006168494,0.0002755018,0.1102236,0.8021179,0.04108379],"study_design_scores_gemma":[0.000002905697,0.000003281924,0.003505854,0.0002168461,0.000004263504,0.00005961458,0.009311937,0.000009480872,0.00005853249,0.0009772098,0.9858422,0.000007908114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.01074784,0.4068954,0.0003849112,0.1450871,0.003740001,0.00002578114,0.0006580593,0.0000683117,0.4323925],"genre_scores_gemma":[0.2227293,0.08162876,0.0006460303,0.01524809,0.001018879,0.00005039493,0.0002518138,0.0002188259,0.6782079],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.04550117,"threshold_uncertainty_score":0.2244279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669928141692987,"score_gpt":0.2401007856634934,"score_spread":0.2234015042465636,"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."}}