{"id":"W7000343083","doi":"","title":"The effects of twitter on undergraduate learning","year":2014,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Theme (computing); Social media; Framing (construction); Dynamics (music); Microblogging; Student engagement; Key (lock); Process (computing)","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":[0.001789564,0.0002627744,0.0002865684,0.0008465883,0.002296284,0.003165734,0.0004873184,0.0005769771,0.003963595],"category_scores_gemma":[0.01265639,0.0001765329,0.0002303362,0.0005370846,0.001185628,0.0023691,0.00383042,0.0008943374,0.0007213394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001253471,"about_ca_system_score_gemma":0.0008864251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001538041,"about_ca_topic_score_gemma":0.003555726,"domain_scores_codex":[0.9979569,0.001002087,0.0000916159,0.0001550257,0.0004572176,0.0003371819],"domain_scores_gemma":[0.9891549,0.006026774,0.001812361,0.0003242701,0.0007580139,0.001923715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00141754,0.002441526,0.5092724,0.0006448691,0.00009478215,0.001432526,0.1852905,0.0007891477,0.02077252,0.00774147,0.007112083,0.2629907],"study_design_scores_gemma":[0.00008111347,0.002193594,0.6426538,0.0003847983,0.00008964829,0.0005276505,0.2652444,0.002298698,0.01172893,0.004659414,0.07000478,0.0001330365],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.983124,0.0002696807,0.0004275418,0.001540075,0.00004604435,0.00002918089,0.00006766539,0.0000331375,0.01446262],"genre_scores_gemma":[0.9977864,0.0002024627,0.0002084915,0.0001214785,0.0000281122,0.00002616509,0.00002935397,0.000008304467,0.001589273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003963595,"threshold_uncertainty_score":0.01325953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01111315331317011,"score_gpt":0.2775651569991942,"score_spread":0.2664520036860241,"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."}}