{"id":"W3201716672","doi":"","title":"AIive: Interactive Visualization and Sonification of Neural Network in Virtual Reality","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Sonification; Visualization; Computer science; Human–computer interaction; Virtual reality; Representation (politics); Artificial neural network; Range (aeronautics); Hyperparameter; Artificial intelligence; Multimedia; Engineering","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":[0.0006162692,0.0009252271,0.0003371991,0.0006872067,0.0002392916,0.001272757,0.0007200777,0.0007035379,0.01680898],"category_scores_gemma":[0.002322296,0.0002575417,0.0006083061,0.0002961561,0.0003315229,0.0009254325,0.001615079,0.0008188023,0.001055837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002590167,"about_ca_system_score_gemma":0.0003383503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009085407,"about_ca_topic_score_gemma":0.001391701,"domain_scores_codex":[0.9997557,0.00009004173,0.00001113668,0.0000343284,0.00007891095,0.00003002612],"domain_scores_gemma":[0.999337,0.0004404504,0.00003249251,0.00005627937,0.00007158426,0.00006209795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001953054,0.0004572903,0.004328429,0.002067846,0.0003845725,0.002240035,0.004042431,0.1237172,0.1707402,0.04376352,0.1370389,0.5092667],"study_design_scores_gemma":[0.0005480343,0.000666145,0.009200445,0.0005268776,0.0001826312,0.001684559,0.001087114,0.6673453,0.06768396,0.04722446,0.2035414,0.0003089147],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.06112512,0.001581957,0.883813,0.00191143,0.0007190801,0.0002574696,0.002831465,0.02251863,0.02524187],"genre_scores_gemma":[0.4981181,0.001572537,0.4812179,0.0008347228,0.0003181293,0.0006328109,0.00183289,0.002678077,0.0127948],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01680898,"threshold_uncertainty_score":0.05623168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07143467700214003,"score_gpt":0.2516807783162679,"score_spread":0.1802461013141279,"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."}}