{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003238332,0.000207825,0.0001485634,0.0005016502,0.00007104949,0.0002647949,0.0004906768,0.00018865,0.000005819149],"category_scores_gemma":[0.00002395173,0.0001689981,0.00003833216,0.0002544615,0.0001317171,0.001352607,0.00008973033,0.0004710273,0.00004714067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002777335,"about_ca_system_score_gemma":0.0001105855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001736385,"about_ca_topic_score_gemma":0.0001375224,"domain_scores_codex":[0.998843,0.000004332813,0.0004226049,0.0001024308,0.0004007868,0.000226863],"domain_scores_gemma":[0.9994271,0.00006630908,0.00008317245,0.0003062056,0.00008772568,0.00002951206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[9.104314e-7,0.00000118286,0.000006544376,0.00002276813,0.000001071637,2.807597e-7,0.0007980762,0.9095447,0.000002045091,0.002266047,0.00007329376,0.08728307],"study_design_scores_gemma":[0.0001160613,0.00000727402,0.00009102302,0.0000673505,0.000002031101,0.00000349126,5.577869e-7,0.979795,0.00005191475,0.01780936,0.001863618,0.0001923212],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004877833,0.0000468834,0.982925,0.0001583304,0.0004074774,0.0002233283,0.000010882,0.0001060626,0.01563427],"genre_scores_gemma":[0.9657688,0.00006885549,0.03132851,0.002314886,0.0001706272,0.00002117904,0.0001572619,0.00002826097,0.0001416133],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.965281,"threshold_uncertainty_score":0.6891543,"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."}}