{"id":"W4311197618","doi":"10.31234/osf.io/tu9xq","title":"The Social Network: How People Infer Relationships From Mutual Connections","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Psychology; Friendship; Social psychology; Social network (sociolinguistics); Social relationship; Social relation; Developmental psychology; Computer science; Social media","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":[0.003907733,0.000483418,0.0003754873,0.002298221,0.000731334,0.002652238,0.0005754248,0.0009465074,0.002660045],"category_scores_gemma":[0.03767952,0.0005036602,0.0004278182,0.00124477,0.002325378,0.01027614,0.001617593,0.0009578162,0.0004115785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000490293,"about_ca_system_score_gemma":0.0002470361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002201057,"about_ca_topic_score_gemma":0.001654902,"domain_scores_codex":[0.9976534,0.001392148,0.00009084065,0.0004595801,0.0003379652,0.00006598049],"domain_scores_gemma":[0.9811163,0.01444786,0.002417805,0.001035896,0.0006726346,0.0003095298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007803066,0.0002125211,0.3414796,0.001226721,0.001237095,0.000881573,0.04063228,0.01527378,0.01882778,0.1304695,0.006044932,0.4429339],"study_design_scores_gemma":[0.00008627341,0.000291527,0.2550471,0.0003713637,0.0004327565,0.002037752,0.009270115,0.1190616,0.00573023,0.5829924,0.0244215,0.0002573333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7497447,0.002901783,0.2197756,0.004671031,0.0001286097,0.0001298664,0.0006786736,0.0002217235,0.02174799],"genre_scores_gemma":[0.9759287,0.0008368662,0.02201292,0.0001786329,0.0000704719,0.00004535175,0.0002448344,0.00003256946,0.0006495635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003907733,"threshold_uncertainty_score":0.0206663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03409284614571528,"score_gpt":0.2915519485556805,"score_spread":0.2574591024099652,"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."}}