{"id":"W2948206605","doi":"","title":"Let's tweet again? The impact of social networks on literature achievement in high school students : Evidence from a randomized controlled trial","year":2019,"lang":"en","type":"preprint","venue":"Econstor (Econstor)","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fondazione Cariplo; Collegio Carlo Alberto; York University","keywords":"Student achievement; Reading comprehension; Mathematics education; Reading (process); Psychology; Randomized experiment; Test (biology); The Internet; Randomized controlled trial; Comprehension; Scale (ratio); Achievement test; Academic achievement; Standardized test; Computer science; Mathematics; Political science; Medicine; World Wide Web; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.009693128,0.001033066,0.005068472,0.0006530185,0.0006028276,0.0006742069,0.003380492,0.002231387,0.0009646349],"category_scores_gemma":[0.006156361,0.0007322617,0.002579372,0.0004712183,0.001910839,0.0003565777,0.001024793,0.003951786,0.0001199043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002585688,"about_ca_system_score_gemma":0.002745833,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007109967,"about_ca_topic_score_gemma":0.001262656,"domain_scores_codex":[0.9878575,0.005754373,0.002354334,0.001263708,0.001570908,0.001199187],"domain_scores_gemma":[0.9906527,0.004319864,0.003060347,0.001363518,0.0003082471,0.0002953376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.5611977,0.001185235,0.4204815,0.00003209842,0.002408304,0.00002718348,0.00575506,0.001113176,0.000009044784,0.0003405244,0.007218019,0.0002321054],"study_design_scores_gemma":[0.836247,0.0003854306,0.1568115,0.002626581,0.0005189029,9.092246e-7,0.000764442,0.0002855945,0.000006698239,0.00139872,0.00006196148,0.0008922903],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9697921,0.002551989,0.00004724708,0.002206766,0.007457382,0.01580735,0.0002223518,0.0001720247,0.001742827],"genre_scores_gemma":[0.9944872,0.0009152535,0.00005337931,0.0003848634,0.001888726,0.0009325164,0.00006079126,0.0000658821,0.001211376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2750493,"threshold_uncertainty_score":0.9999486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01535173427065481,"score_gpt":0.3243375664865055,"score_spread":0.3089858322158507,"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."}}