{"id":"W2052188164","doi":"10.1016/j.jtrangeo.2013.06.006","title":"Distance patterns of personal networks in four countries: a comparative study","year":2013,"lang":"en","type":"article","venue":"Journal of Transport Geography","topic":"Urban, Neighborhood, and Segregation Studies","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Western University","funders":"","keywords":"Closeness; Id, ego and super-ego; Multilevel model; Personal network; Relevance (law); Social psychology; Social network (sociolinguistics); Psychology; Geography; Economic geography; Demographic economics; Sociology; Economics; Computer science; Statistics; Political science; Mathematics; 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":[0.0006419416,0.0001209247,0.0004609103,0.0002343336,0.0001696407,0.00002547322,0.0002129768,0.00005222362,0.0002303282],"category_scores_gemma":[0.000009659605,0.00009827795,0.0002293949,0.0004570869,0.0002218116,0.0003573702,0.000004405071,0.0002182232,0.000001292098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002639355,"about_ca_system_score_gemma":0.00007861654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002841117,"about_ca_topic_score_gemma":0.01027681,"domain_scores_codex":[0.9982463,0.0001320306,0.0006265072,0.0001179835,0.0006374727,0.0002396794],"domain_scores_gemma":[0.9987377,0.0001732305,0.0004365312,0.00006825875,0.0004858231,0.0000984922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005550403,0.0002279442,0.9352745,0.0000086505,0.0001469759,0.00001604161,0.06375778,0.0001070123,7.483974e-7,0.0001350481,0.0001544472,0.0001152812],"study_design_scores_gemma":[0.000770967,0.0002168892,0.9407509,0.00007173255,0.00005076573,9.307726e-7,0.05575047,0.00004469494,9.897643e-7,0.0001204351,0.002123564,0.00009766401],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948792,0.0009271305,0.00236653,0.0003425707,0.0002315066,0.000325216,0.00001198867,0.000006861236,0.0009089336],"genre_scores_gemma":[0.9991072,0.000560998,0.00005271595,0.00005549752,0.0001467651,0.00001042515,8.628376e-7,0.000004964548,0.00006059992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008007309,"threshold_uncertainty_score":0.5734699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02567603860009787,"score_gpt":0.2830378664289294,"score_spread":0.2573618278288315,"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."}}