{"id":"W2730584407","doi":"","title":"Museomix: lessons learned from an open creative hackathon in museums","year":2023,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Berger (Canada)","funders":"","keywords":"Entertainment; Event (particle physics); Context (archaeology); Computer science; Multimedia; World Wide Web; Visual arts; Art; History","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","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.006686629,0.0004826674,0.000625376,0.0007985424,0.0004009501,0.001603841,0.008072601,0.0006166014,0.0001217077],"category_scores_gemma":[0.002314124,0.0005509821,0.0001194649,0.001277734,0.0003020468,0.001121837,0.01055209,0.001859818,0.0002649098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000430849,"about_ca_system_score_gemma":0.0004755078,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01482495,"about_ca_topic_score_gemma":0.02247476,"domain_scores_codex":[0.989148,0.00703464,0.0008080276,0.00201981,0.0004650091,0.0005244703],"domain_scores_gemma":[0.9904647,0.001481074,0.0008754088,0.00496838,0.002079888,0.0001305617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004710357,0.00186545,0.002362902,0.00006629191,0.0002219999,0.00009298243,0.06914455,0.0002951356,0.01390915,0.7305187,0.002505752,0.17897],"study_design_scores_gemma":[0.002810495,0.000006293102,0.07883164,0.006107895,0.00006569476,0.0000175056,0.001931471,0.1760146,0.1841595,0.529053,0.01852451,0.002477359],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2479352,0.0001533082,0.6270683,0.08916482,0.001102913,0.001423497,0.0001442571,0.001588889,0.03141889],"genre_scores_gemma":[0.8213127,0.0003862525,0.1666258,0.0003596678,0.0000424661,0.0004934554,0.001209366,0.0001146395,0.009455758],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5733775,"threshold_uncertainty_score":0.9996942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0896322595363636,"score_gpt":0.3389258168329133,"score_spread":0.2492935572965497,"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."}}