{"id":"W4237454264","doi":"10.1162/leon.2007.40.3.248","title":"<i>SwarmArt</i>: Interactive Art from Swarm Intelligence","year":2007,"lang":"en","type":"article","venue":"Leonardo","topic":"Music Technology and Sound Studies","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Swarm behaviour; Multitude; Context (archaeology); Exhibition; Computer science; Swarm intelligence; Human–computer interaction; Swarm robotics; Collective intelligence; Variety (cybernetics); Multimedia; Data science; Artificial intelligence; Visual arts; Biology; Art; Particle swarm optimization; Epistemology","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":[0.0002777398,0.0006269296,0.0002664497,0.0008259569,0.0008219755,0.002398666,0.000794674,0.0007190231,0.02574668],"category_scores_gemma":[0.0009859195,0.0002388246,0.000501899,0.0007303092,0.001759259,0.001690309,0.002090109,0.00131298,0.003244071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003901688,"about_ca_system_score_gemma":0.0002349659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001025435,"about_ca_topic_score_gemma":0.002375081,"domain_scores_codex":[0.9998216,0.00004620066,0.000009583673,0.00002020283,0.00008937043,0.0000131043],"domain_scores_gemma":[0.9997622,0.0001045243,0.00001223462,0.00005830059,0.00002402025,0.00003859274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001266134,0.0000378689,0.0006482938,0.001312107,0.00005091081,0.0006387598,0.004502882,0.004701151,0.01686408,0.3017127,0.2788008,0.3906038],"study_design_scores_gemma":[0.00001567365,0.00003878968,0.0007383956,0.0002189699,0.00001787281,0.0007949584,0.0002670193,0.005390458,0.004082641,0.03813334,0.9502729,0.00002898251],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01468926,0.01305266,0.3427908,0.005547521,0.002503342,0.000248724,0.0006806253,0.009900147,0.6105869],"genre_scores_gemma":[0.2720858,0.01943864,0.3271632,0.00301132,0.003406085,0.0006841285,0.002302885,0.007396014,0.3645119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02574668,"threshold_uncertainty_score":0.08613122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364954114588492,"score_gpt":0.2583442915746306,"score_spread":0.2446947504287456,"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."}}