{"id":"W4387845731","doi":"10.18357/otessaj.2023.3.1.48","title":"The Complexities of Using Digital Social Networks in Teaching and Learning","year":2023,"lang":"en","type":"article","venue":"The Open/Technology in Education Society and Scholarship Association Journal","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Tampa","keywords":"Misinformation; Descriptive statistics; Computer science; Social network (sociolinguistics); Social media; Social network analysis; Mathematics education; Psychology; World Wide Web; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.01649523,0.0002830253,0.0003312606,0.001743643,0.007814073,0.01339489,0.001424953,0.001359679,0.003134855],"category_scores_gemma":[0.03254703,0.0005490805,0.0003023703,0.001435009,0.01175515,0.01245749,0.009576159,0.002777341,0.0003968774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003337196,"about_ca_system_score_gemma":0.005047095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003487741,"about_ca_topic_score_gemma":0.007204575,"domain_scores_codex":[0.9715884,0.02182875,0.000658075,0.001038667,0.003262755,0.001623387],"domain_scores_gemma":[0.9602202,0.02874381,0.004716777,0.001965534,0.0015466,0.00280717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005778066,0.0003333782,0.0752557,0.0004756687,0.0000427759,0.001894057,0.6642458,0.0006489541,0.001579876,0.09203681,0.002075593,0.1613535],"study_design_scores_gemma":[0.00001723646,0.0001585957,0.02633168,0.0008296776,0.00003294206,0.001617086,0.8698933,0.001027006,0.000939697,0.02555746,0.07354303,0.0000522759],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9066699,0.002123357,0.009252311,0.0187627,0.0001345957,0.0001513632,0.00003294788,0.00004344805,0.06282943],"genre_scores_gemma":[0.996096,0.0007530044,0.001610861,0.0002642745,0.00003707234,0.0000461529,0.000005568257,0.00000840659,0.001178803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01649523,"threshold_uncertainty_score":0.08723617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03961270747805771,"score_gpt":0.3742509360509713,"score_spread":0.3346382285729136,"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."}}