{"id":"W1982520167","doi":"10.1177/0002764215580615","title":"Can Family Financial Resources Buy Friends?","year":2015,"lang":"en","type":"article","venue":"American Behavioral Scientist","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Friendship; Socioeconomic status; China; Demographic economics; Geography; Socioeconomics; Economic growth; Sociology; Demography; Economics; Psychology; Social psychology; Population","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":[0.0009238304,0.0002652,0.0003257373,0.001014583,0.001585166,0.002437301,0.0004760986,0.0009909837,0.01627818],"category_scores_gemma":[0.009236564,0.0001787999,0.0002013663,0.000912555,0.001457088,0.003461555,0.0009987635,0.0007764646,0.0006929216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007742516,"about_ca_system_score_gemma":0.0005628268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004700002,"about_ca_topic_score_gemma":0.009614986,"domain_scores_codex":[0.9994189,0.0002668682,0.00001925896,0.00006686406,0.00007837423,0.0001497405],"domain_scores_gemma":[0.9947455,0.002432543,0.00125296,0.0001601061,0.0003393362,0.001069497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002447,0.0004261173,0.8099929,0.0002436821,0.0002369921,0.002199759,0.01766336,0.000265615,0.0001710285,0.02657674,0.01789052,0.1240886],"study_design_scores_gemma":[0.000058671,0.0002154093,0.834382,0.0006290942,0.0001691238,0.001698891,0.09626845,0.0005902809,0.000238772,0.01738835,0.04829984,0.000061053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9167795,0.003706728,0.0002862558,0.0171879,0.0002165823,0.00002191563,0.0004089385,0.00001101519,0.06138114],"genre_scores_gemma":[0.9972091,0.0008184989,0.00004563118,0.0003720979,0.00005788546,0.000005511542,0.00005084951,0.000001425035,0.001438891],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01627818,"threshold_uncertainty_score":0.05445594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03559310151790053,"score_gpt":0.3404186975299737,"score_spread":0.3048255960120732,"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."}}