{"id":"W2165972187","doi":"10.1257/aer.102.5.1857","title":"Social Capital and Social Quilts: Network Patterns of Favor Exchange","year":2012,"lang":"en","type":"article","venue":"American Economic Review","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"","keywords":"Social capital; Social exchange theory; Social network (sociolinguistics); Interpersonal ties; Business; Information exchange; Economics; Sociology; Social psychology; Psychology; Political science; Computer science; Law; Social media; Social science; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006162622,0.0001321724,0.0001571305,0.001902237,0.0006206772,0.001510011,0.0003789364,0.0004084926,0.005300534],"category_scores_gemma":[0.009666081,0.00008669585,0.00009828386,0.003682868,0.001344936,0.001858332,0.001074145,0.0003106804,0.0003410504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008153493,"about_ca_system_score_gemma":0.000246897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002845731,"about_ca_topic_score_gemma":0.004390306,"domain_scores_codex":[0.9995722,0.0001639621,0.00002473925,0.00008006137,0.0000892955,0.00006967485],"domain_scores_gemma":[0.9916631,0.003156667,0.003872906,0.0003859461,0.0004267428,0.0004947328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002089753,0.000158575,0.8390526,0.0002021926,0.0001589305,0.000321376,0.004882123,0.006612461,0.0009168934,0.0764012,0.004363537,0.06672121],"study_design_scores_gemma":[0.00002236842,0.00009210654,0.9220437,0.00008590015,0.00005642998,0.0003866396,0.004971074,0.01010819,0.000293745,0.0532942,0.008615071,0.00003056218],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763358,0.0005790638,0.002377814,0.001313402,0.00001353762,0.00002023822,0.0006361859,0.00001473001,0.01870929],"genre_scores_gemma":[0.9991399,0.0001292101,0.0001821222,0.00001546218,0.000008961942,0.000005508548,0.00008397568,0.000001239056,0.0004336869],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005300534,"threshold_uncertainty_score":0.01773202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03028469099727623,"score_gpt":0.3194824902205478,"score_spread":0.2891977992232716,"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."}}