{"id":"W7124164311","doi":"10.65109/etbf8642","title":"Social distance games","year":2011,"lang":"","type":"article","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Closeness; Context (archaeology); Social distance; Measure (data warehouse); Stability (learning theory); Graph; Welfare","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003405148,0.0003836656,0.0003911948,0.0001863997,0.0003612942,0.0002759617,0.003918658,0.0002736165,0.0004008422],"category_scores_gemma":[0.00008860491,0.0003711978,0.0001567009,0.001502401,0.0004111193,0.0006103225,0.002129241,0.000365448,0.001483149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001091948,"about_ca_system_score_gemma":0.000111524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008241329,"about_ca_topic_score_gemma":0.0001210624,"domain_scores_codex":[0.9968671,0.00006230822,0.0004600919,0.001011124,0.0005350148,0.001064405],"domain_scores_gemma":[0.9982145,0.00004645232,0.0001454584,0.001236859,0.0001713372,0.0001854373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000164427,0.0001262518,0.0010439,0.00001121933,0.00003248166,0.0000485639,0.005085268,0.000002495648,0.0000386863,0.5170627,0.09097227,0.3855597],"study_design_scores_gemma":[0.001258712,0.001341469,0.09154701,0.0001945614,0.00008498395,0.00005982953,0.001342609,0.03527442,0.02200141,0.3021146,0.5407071,0.004073239],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006614854,0.0004377592,0.8343995,0.008806353,0.0012233,0.0003119685,0.000004581565,0.001571941,0.1466297],"genre_scores_gemma":[0.8745993,0.00003305595,0.1122533,0.001059704,0.0002090946,0.00002942164,3.837239e-7,0.00002027974,0.01179542],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8679845,"threshold_uncertainty_score":0.999874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05356203370962737,"score_gpt":0.2635601401702703,"score_spread":0.2099981064606429,"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."}}