{"id":"W2120781678","doi":"","title":"Danny McCarthy on …off …on… off…. Danny McCarthy, extraire le son de la mémoire / arroser les plantes, Le Lieu, centre en art actuel, Québec, 12 octobre-4 novembre 2007Danny McCarthy, extraire le son de la mémoire / arroser les plantes, Le Lieu, centre en art actuel, Québec, 12 octobre-4 novembre 2007","year":2008,"lang":"fr","type":"article","venue":"Inter : Art actuel","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.001555503,0.003915521,0.003005922,0.000874259,0.002902814,0.003719789,0.003906677,0.002665547,0.001544131],"category_scores_gemma":[0.0009654558,0.003564922,0.002069946,0.000935214,0.002931615,0.007180697,0.001634745,0.00432937,0.003839243],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002429338,"about_ca_system_score_gemma":0.00965058,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04776946,"about_ca_topic_score_gemma":0.1416684,"domain_scores_codex":[0.9837844,0.002039157,0.002801667,0.004074634,0.002239042,0.005061079],"domain_scores_gemma":[0.9887031,0.003000778,0.001408371,0.003250396,0.0007257216,0.002911588],"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":[0.001844797,0.005470568,0.003529475,0.0004958928,0.001016533,0.004620275,0.02045614,0.002416148,0.01106009,0.004659969,0.8630671,0.08136301],"study_design_scores_gemma":[0.005211871,0.001187947,0.008245469,0.003339593,0.0002422683,0.004769669,0.003951468,0.004503134,0.01658998,0.0003261178,0.9477055,0.003926964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.454633,0.07387563,0.007899054,0.09051562,0.006272079,0.004992412,0.005582742,0.003467162,0.3527623],"genre_scores_gemma":[0.7004183,0.002149599,0.001185625,0.007348249,0.002267541,0.0001068799,0.0009600237,0.0005900524,0.2849738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2457853,"threshold_uncertainty_score":0.9997818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03673163683261634,"score_gpt":0.2537879642809128,"score_spread":0.2170563274482964,"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."}}