{"id":"W3162796453","doi":"10.21307/connections-2019-005","title":"Who Dunnit: The Party Mystery Game for Analyzing Network Structure and Information Flow","year":2019,"lang":"en","type":"article","venue":"Connections","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Information flow; Flow (mathematics); Cognitive science; Artificial intelligence; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002342247,0.0009371722,0.000496442,0.0008717913,0.0004398161,0.001426124,0.001520914,0.0006783327,0.01819113],"category_scores_gemma":[0.009355629,0.0003653181,0.0006053529,0.0007118237,0.0006301338,0.001398385,0.001550766,0.001067601,0.001730974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007868221,"about_ca_system_score_gemma":0.0006846905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002063464,"about_ca_topic_score_gemma":0.003682988,"domain_scores_codex":[0.9989403,0.0006301189,0.00004421345,0.0001666105,0.000138431,0.0000804165],"domain_scores_gemma":[0.9922008,0.006441087,0.0003003029,0.000401119,0.0002164524,0.0004402187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004029226,0.003978485,0.04864947,0.001761274,0.0004292553,0.001374591,0.008911597,0.1913005,0.02038888,0.2381517,0.176872,0.3041531],"study_design_scores_gemma":[0.0006439756,0.0009338442,0.01446975,0.0001611054,0.00007144558,0.0003073084,0.001270527,0.7738605,0.01307455,0.1159094,0.07917273,0.0001248167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2908002,0.0001089179,0.6411827,0.001133368,0.0002047509,0.003316842,0.01318074,0.01300503,0.03706746],"genre_scores_gemma":[0.6144122,0.00008154572,0.363206,0.0002349163,0.00002458034,0.005280898,0.004642752,0.0008269755,0.01128997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01819113,"threshold_uncertainty_score":0.06085539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006597794666484868,"score_gpt":0.2282930124168555,"score_spread":0.2216952177503707,"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."}}