{"id":"W1971896209","doi":"10.1007/pl00013690","title":"Spatial social networks","year":2000,"lang":"en","type":"article","venue":"Review of Economic Design","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":203,"is_retracted":false,"has_abstract":false,"ca_institutions":"SR Research (Canada)","funders":"","keywords":"Pairwise comparison; Subgame perfect equilibrium; Computer science; Network formation; Construct (python library); Nash equilibrium; Incentive; Variable (mathematics); Network topology; Mathematical economics; Social network (sociolinguistics); Topology (electrical circuits); Microeconomics; Economics; Mathematics; Artificial intelligence; Combinatorics; Computer network","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00297375,0.00007173704,0.0003308956,0.00002595919,0.00007152995,0.00002481933,0.0004793291,0.00003293979,0.02361742],"category_scores_gemma":[0.00009376589,0.00005663683,0.0001430442,0.0001053567,0.00007625155,0.00008535747,0.00001762853,0.00005001726,0.003801253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001751341,"about_ca_system_score_gemma":0.0000463037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005951182,"about_ca_topic_score_gemma":0.000001478279,"domain_scores_codex":[0.9987066,0.0002634722,0.0006112013,0.0002047067,0.000101062,0.0001129906],"domain_scores_gemma":[0.9988592,0.0005391998,0.0002076532,0.0003253914,0.00002809908,0.00004045071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009692901,0.00001599378,0.00001922929,0.00002815108,0.000007265363,1.905036e-7,0.00002013311,0.0007557541,0.000005519759,0.01383724,0.04713739,0.9381635],"study_design_scores_gemma":[0.0002975848,0.00006272674,0.001377218,0.0004910415,0.00005555662,0.000009127086,0.00001836524,0.01035223,0.0001332435,0.1426211,0.8442993,0.0002825509],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01911587,0.07386965,0.484168,0.008122256,0.0007230609,0.002967156,0.00006714968,0.0001290917,0.4108378],"genre_scores_gemma":[0.964802,0.02483075,0.001623266,0.001880815,0.0005274612,0.0000698334,0.00000597882,0.00001587647,0.006244042],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9456861,"threshold_uncertainty_score":0.9969744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1448590396153295,"score_gpt":0.3977631086563847,"score_spread":0.2529040690410552,"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."}}