{"id":"W2036874139","doi":"10.1371/journal.pone.0039795","title":"An Actor-Based Model of Social Network Influence on Adolescent Body Size, Screen Time, and Playing Sports","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Mental Health Research Topics","field":"Psychology","cited_by":133,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; Gillings School of Public Health; University of North Carolina at Chapel Hill; National Institutes of Health","keywords":"Homophily; Friendship; Social network (sociolinguistics); Adolescent health; Social influence; Psychology; Interpersonal ties; Social network analysis; Emotional contagion; Social psychology; Social media; Developmental psychology; Computer science; Medicine; World Wide Web","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":[0.0004642902,0.0001139475,0.0002293757,0.00004489512,0.0001243191,0.000008132492,0.0001302736,0.0001199583,0.0003428672],"category_scores_gemma":[0.00003583925,0.0001159569,0.00002185825,0.00009049695,0.00008149827,0.00010454,0.0000364406,0.0002700789,0.0000451808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005798202,"about_ca_system_score_gemma":0.00004605677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005031172,"about_ca_topic_score_gemma":0.000005371866,"domain_scores_codex":[0.9984106,0.0001386792,0.0002370039,0.0001971535,0.00047694,0.0005395798],"domain_scores_gemma":[0.9992065,0.0001048418,0.000109607,0.0002618718,0.00005024112,0.0002669061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003591604,0.01521222,0.9165692,0.000833668,0.0002057661,0.00001567852,0.002477652,0.0008328873,0.05071256,0.003775028,0.001822754,0.003951014],"study_design_scores_gemma":[0.00104644,0.0004985183,0.9826012,0.000303921,0.00004234719,4.534243e-7,0.00003023908,0.01292281,0.002223162,0.0000976799,0.00003136682,0.0002019066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968321,0.00007841641,0.00002645928,0.0001355287,0.00002744719,0.0004207819,0.00004278267,0.0000339879,0.002402503],"genre_scores_gemma":[0.9972635,0.000006055523,0.00141554,0.0006779641,0.0003141637,0.00001854193,0.0000185672,0.0000232675,0.0002623946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06603199,"threshold_uncertainty_score":0.4728586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1084511805937921,"score_gpt":0.3732449639929927,"score_spread":0.2647937833992006,"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."}}