{"id":"W2917561171","doi":"10.1016/j.ssresearch.2019.02.004","title":"In the mix: Social integration and social media adoption","year":2019,"lang":"en","type":"article","venue":"Social Science Research","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Science Foundation of Sri Lanka; Canadian Institute for Advanced Research; Research Council, Rutgers, The State University of New Jersey; Spencer Foundation; Russell Sage Foundation","keywords":"Social media; Social integration; Dominance (genetics); Community integration; Sociology; Social engagement; Social competence; Social network (sociolinguistics); Public relations; Psychology; Social change; Political science; Computer science; Social science; World Wide Web; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002345069,0.0002925411,0.0002910233,0.00201081,0.001456453,0.006973382,0.0005616602,0.001046975,0.01162588],"category_scores_gemma":[0.0123706,0.0003170109,0.0003034944,0.001799244,0.00148012,0.007369843,0.004500065,0.002299856,0.0005802584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008634508,"about_ca_system_score_gemma":0.0009822686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003783387,"about_ca_topic_score_gemma":0.006593678,"domain_scores_codex":[0.998354,0.000707004,0.00006973262,0.000216609,0.0004407225,0.0002119773],"domain_scores_gemma":[0.9929478,0.003004745,0.001712365,0.0002874932,0.000517456,0.001530061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002369062,0.0006892547,0.8032076,0.00009766447,0.0001505009,0.0003626091,0.05061258,0.0001528484,0.001855345,0.07603259,0.002038824,0.06456328],"study_design_scores_gemma":[0.00004234971,0.0002741576,0.7934691,0.0003499168,0.000255436,0.0007528533,0.1303954,0.002642974,0.001559928,0.04669776,0.02350474,0.00005538361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753852,0.0008993675,0.001050276,0.005276043,0.0000900466,0.00001882701,0.0001074274,0.00001651935,0.0171564],"genre_scores_gemma":[0.9972423,0.000299019,0.0003580116,0.0002086868,0.00005447494,0.00001660456,0.00003201311,0.000009023119,0.001779844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01162588,"threshold_uncertainty_score":0.03889245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1005469363619703,"score_gpt":0.4677361891750966,"score_spread":0.3671892528131263,"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."}}