{"id":"W2783282341","doi":"10.1007/978-3-319-93058-9_12","title":"Stable and Efficient Structures for the Content Production and Consumption in Information Communities","year":2018,"lang":"en","type":"book-chapter","venue":"EAI/Springer Innovations in Communication and Computing","topic":"Expert finding and Q&A systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Consumption (sociology); Production (economics); Community structure; Core (optical fiber); Computer science; Nash equilibrium; Microeconomics; Operations research; Mathematics; Economics; Sociology; Social science","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":[0.00135998,0.0001927949,0.0002267305,0.0004700906,0.000678062,0.0003923916,0.0004259248,0.0001355105,0.000003083819],"category_scores_gemma":[0.0000884502,0.0001699114,0.00001804528,0.0001529237,0.0002573505,0.0003338339,0.0005723229,0.0003957096,0.000001404799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008390877,"about_ca_system_score_gemma":0.00003293365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001926888,"about_ca_topic_score_gemma":0.0003625141,"domain_scores_codex":[0.9987823,0.00006797194,0.0006341209,0.0001992952,0.0001564079,0.0001599322],"domain_scores_gemma":[0.9981498,0.0004328944,0.0004065649,0.000717859,0.0002718314,0.00002109752],"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":[0.0000150817,0.00002216324,0.004243895,0.0002083265,0.00003654431,1.173504e-7,0.02630309,0.0007881167,0.00003035145,0.9087578,0.000278849,0.05931564],"study_design_scores_gemma":[0.002321203,0.000185939,0.09628528,0.004425373,0.00004447278,0.0001083476,0.009825332,0.7830577,0.000169466,0.02768002,0.07446023,0.001436644],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6192958,0.01995427,0.3226973,0.01042267,0.002591762,0.00701539,0.0000538078,0.0005764512,0.01739252],"genre_scores_gemma":[0.9876447,0.000767935,0.01031447,0.0002090058,0.00005451174,0.00005037375,0.0000356719,0.00001343801,0.0009098941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8810778,"threshold_uncertainty_score":0.6928785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08911119912587748,"score_gpt":0.2855934356985237,"score_spread":0.1964822365726462,"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."}}