{"id":"W2139886332","doi":"10.1145/1027527.1027674","title":"SwarmArt","year":2004,"lang":"en","type":"article","venue":"","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Realization (probability); Context (archaeology); Human–computer interaction; Swarm behaviour; Multimedia; Computer graphics (images); Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0007357159,0.001090651,0.0007421401,0.0008150658,0.0008589251,0.002214438,0.001869643,0.001082552,0.0390252],"category_scores_gemma":[0.0017992,0.0006630837,0.001063092,0.0006928589,0.0005634642,0.002173307,0.002475291,0.001688201,0.02508109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005727747,"about_ca_system_score_gemma":0.0008177661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001733912,"about_ca_topic_score_gemma":0.002774419,"domain_scores_codex":[0.9992392,0.0001095431,0.00005757672,0.0001289041,0.0003834641,0.00008135106],"domain_scores_gemma":[0.9993724,0.0001437066,0.00004283711,0.0002007332,0.0001345931,0.0001056959],"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":[0.0004047516,0.0002259652,0.002159339,0.001229311,0.0002042779,0.0006107144,0.0006640186,0.03465264,0.01780235,0.1020619,0.373013,0.4669719],"study_design_scores_gemma":[0.00003917028,0.00008171826,0.0003390605,0.00006595329,0.00002471087,0.0003340182,0.00003741981,0.0254592,0.005782076,0.01115101,0.956638,0.00004773763],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009058001,0.004129975,0.6031382,0.001417914,0.001867848,0.0006483053,0.004868668,0.1092392,0.2656318],"genre_scores_gemma":[0.1038703,0.007307069,0.5470906,0.002151768,0.0005757636,0.001467136,0.03336633,0.03092644,0.2732446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0390252,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007526980577372291,"score_gpt":0.1857207153043342,"score_spread":0.178193734726962,"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."}}