{"id":"W1634932822","doi":"10.1609/socs.v2i1.18200","title":"Degrees of Separation in Social Networks","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International Symposium on Combinatorial Search","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Node (physics); Degree (music); Six degrees of separation; The Internet; Greedy algorithm; Social network (sociolinguistics); Theoretical computer science; Social media; World Wide Web; Algorithm; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004130113,0.00007482827,0.000130985,0.00006704741,0.00007001052,0.0000876776,0.001022385,0.00005999817,0.00000481627],"category_scores_gemma":[0.00007430929,0.00006435417,0.00009996839,0.0003622435,0.0000386771,0.0002215149,0.0004322591,0.0002033356,0.000001556219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001022548,"about_ca_system_score_gemma":0.00006023683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000103818,"about_ca_topic_score_gemma":0.000005328767,"domain_scores_codex":[0.9987115,0.00002018345,0.000253783,0.0002045748,0.0006798595,0.0001300589],"domain_scores_gemma":[0.9990703,0.00007966572,0.0001197461,0.00008262625,0.0006263789,0.00002128537],"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":[0.00009552395,0.0002789749,0.0112939,0.00001625445,0.00003501065,0.000001379664,0.0004271712,0.001598707,0.08940233,0.8954108,0.0008128915,0.0006270363],"study_design_scores_gemma":[0.004872672,0.0004857195,0.05210719,0.0005412674,0.00002505086,0.00002878729,0.0003442681,0.4524007,0.4499484,0.037182,0.001493084,0.0005709234],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814582,0.00002458851,0.0002870428,0.004445734,0.002873447,0.0001086887,0.000002309095,0.00002027606,0.01077969],"genre_scores_gemma":[0.9994026,0.00001347662,0.00007123918,0.00004857654,0.0002642954,0.000005762573,0.000001242881,0.000004650022,0.0001881918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8582288,"threshold_uncertainty_score":0.2624287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01999027754451357,"score_gpt":0.2756694242229075,"score_spread":0.255679146678394,"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."}}