{"id":"W7096022727","doi":"","title":"Using Feedback to Conduct Crowd Control","year":2015,"lang":"en","type":"article","venue":"","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Control (management); Dimension (graph theory); Function (biology); Intervention (counseling); Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003999849,0.001360119,0.0007896236,0.0009793843,0.001239297,0.00198872,0.001666329,0.001357825,0.007259674],"category_scores_gemma":[0.01411787,0.0004210871,0.0005873347,0.0005208662,0.001656487,0.002109505,0.002426957,0.001135288,0.0007008317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002255574,"about_ca_system_score_gemma":0.003391935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02279254,"about_ca_topic_score_gemma":0.01207977,"domain_scores_codex":[0.9976897,0.0008845478,0.00008940809,0.0004266056,0.0005716413,0.0003381155],"domain_scores_gemma":[0.994037,0.003607788,0.0006284688,0.0003374995,0.001094929,0.0002942597],"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":[0.0003118995,0.0004232896,0.005230714,0.0002762944,0.00007200419,0.0002905088,0.001383997,0.8383535,0.004592588,0.03768921,0.003358467,0.1080177],"study_design_scores_gemma":[0.00009070787,0.0003871204,0.001240765,0.0000727681,0.00002978984,0.00004390326,0.0005551981,0.9640209,0.001814838,0.02696898,0.004727535,0.00004750888],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04935943,0.0002224555,0.9195075,0.0008508328,0.0001448604,0.0005976451,0.000119431,0.001130599,0.02806726],"genre_scores_gemma":[0.9475374,0.0001709844,0.04771685,0.0001146332,0.00002982078,0.0003915037,0.00006539912,0.00004951403,0.003923919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02279254,"threshold_uncertainty_score":0.04531974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1125933016409978,"score_gpt":0.3644600060952818,"score_spread":0.2518667044542841,"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."}}