{"id":"W3214871844","doi":"10.4000/culturemusees.7352","title":"Eva Sandri. 2020. Les Imaginaires numériques au musée ? Débats sur les injonctions à l’innovation","year":2021,"lang":"fr","type":"article","venue":"Culture & Musées","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nutrasource","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001867709,0.0005957499,0.0004968034,0.0001128217,0.0009229972,0.003714973,0.0005532529,0.0003974724,0.0002975157],"category_scores_gemma":[0.0007025801,0.0004598136,0.0002821511,0.001969761,0.0004664288,0.006250453,0.000439789,0.0005619344,0.0001822414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002587296,"about_ca_system_score_gemma":0.0005564846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00360754,"about_ca_topic_score_gemma":0.006742349,"domain_scores_codex":[0.9968578,0.0001933707,0.0006800672,0.0009341326,0.0005418793,0.0007927088],"domain_scores_gemma":[0.9963036,0.0001141129,0.000295266,0.0006910826,0.002302449,0.0002935028],"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":[0.00002335935,0.001051131,0.001796173,0.0004051259,0.0002350085,0.0007995057,0.03796628,0.0001260416,0.02672465,0.4665976,0.2987693,0.1655058],"study_design_scores_gemma":[0.0006778049,0.0002036349,0.01656114,0.0007857526,0.00006781133,0.000901864,0.003627407,0.0007062977,0.01764511,0.01451841,0.9433938,0.0009109723],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6493811,0.1101278,0.01673869,0.08581503,0.01084543,0.0007572949,0.0002952064,0.0009942704,0.1250451],"genre_scores_gemma":[0.9545338,0.00225136,0.002682306,0.001553823,0.002216544,0.0000253113,0.0002672852,0.00004111536,0.03642851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6446245,"threshold_uncertainty_score":0.9997854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1946112216911259,"score_gpt":0.3209465734883049,"score_spread":0.126335351797179,"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."}}