{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006564075,0.001028176,0.0007223237,0.001229624,0.007721477,0.01167589,0.002538983,0.002807307,0.01034689],"category_scores_gemma":[0.009339058,0.0005522796,0.0007110012,0.0008443273,0.01573393,0.01016686,0.01373458,0.003599223,0.001186205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002543445,"about_ca_system_score_gemma":0.00197471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002488373,"about_ca_topic_score_gemma":0.005511025,"domain_scores_codex":[0.9948992,0.003311479,0.0001100136,0.0004851186,0.0005551028,0.0006391449],"domain_scores_gemma":[0.9945388,0.003595281,0.0001489421,0.000554174,0.0002162937,0.0009465789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004125026,0.0004680833,0.003992738,0.0008513463,0.00003754156,0.005247189,0.8178528,0.0007144855,0.003357877,0.05076036,0.01003999,0.1062651],"study_design_scores_gemma":[0.0001192869,0.0007803407,0.005838756,0.001611006,0.00004624779,0.004010697,0.5781202,0.001251211,0.003669409,0.02450759,0.3798853,0.0001599798],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7616894,0.004600762,0.03696547,0.01530515,0.001270539,0.0005416348,0.000186223,0.0009828146,0.178458],"genre_scores_gemma":[0.9158641,0.002407605,0.02087847,0.001420544,0.0002644185,0.0003286745,0.0001567303,0.0005819668,0.05809753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01167589,"threshold_uncertainty_score":0.03471458,"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."}}