{"id":"W1876588311","doi":"10.1007/11861201_83","title":"Information in Crowds: The Swarm Information Model","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Crowds; Computer science; Point (geometry); Population; Artificial intelligence; Human–computer interaction; Machine learning; Computer security","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":[0.001038144,0.0008090194,0.001196283,0.001153015,0.0007841487,0.002729785,0.001887488,0.002715929,0.003906103],"category_scores_gemma":[0.00494493,0.0006208573,0.0009421903,0.001732902,0.001462717,0.004747087,0.00159116,0.001709137,0.0008537629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001220528,"about_ca_system_score_gemma":0.001075401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00375768,"about_ca_topic_score_gemma":0.001898059,"domain_scores_codex":[0.9995609,0.0001668228,0.00001963834,0.00007044468,0.0001343097,0.00004785468],"domain_scores_gemma":[0.9983625,0.001116098,0.0001149924,0.0001302269,0.0001768982,0.00009931602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004276287,0.00003874232,0.0003385035,0.0001124957,0.00003408124,0.0001237975,0.0002031711,0.2254784,0.0003481306,0.745025,0.01018334,0.01807157],"study_design_scores_gemma":[0.00001324337,0.00001354153,0.00009401086,0.00002720604,0.0000131189,0.00005057113,0.00003539276,0.5609472,0.00009476058,0.4334779,0.005218076,0.00001492256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0270581,0.007215437,0.8879144,0.005851983,0.0007043577,0.0001078949,0.0006568868,0.00029934,0.07019155],"genre_scores_gemma":[0.8140891,0.0106977,0.1106902,0.0008065508,0.001768913,0.0003959805,0.0007368423,0.0002810771,0.06053357],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003906103,"threshold_uncertainty_score":0.01306719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006976957711482927,"score_gpt":0.2003192427277713,"score_spread":0.1933422850162883,"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."}}