{"id":"W2561216005","doi":"10.19173/irrodl.v17i6.2622","title":"Coordinated Implicitly? An Empirical Study on the Role of Social Media in Collaborative Learning","year":2016,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"State Administration of Foreign Experts Affairs; National Natural Science Foundation of China","keywords":"Transactive memory; Teamwork; Social media; Leverage (statistics); Computer science; Knowledge management; Computer-mediated communication; Empirical research; Psychology; World Wide Web; Artificial intelligence; The Internet","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01159645,0.00006288046,0.0001990524,0.0001183959,0.0003206582,0.00009248205,0.0009451489,0.00002875819,0.0002350927],"category_scores_gemma":[0.007223084,0.00003304796,0.00002339888,0.000883896,0.0002929557,0.000172552,0.0004940794,0.0003941961,0.000007403097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001139994,"about_ca_system_score_gemma":0.000134599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004949452,"about_ca_topic_score_gemma":0.001162383,"domain_scores_codex":[0.996023,0.002666959,0.0002877186,0.0001683268,0.0006551525,0.0001988678],"domain_scores_gemma":[0.9968455,0.002514741,0.0001292563,0.00008645561,0.0003891642,0.00003492336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002738873,0.0004835527,0.7743611,0.00008194399,0.00006184779,0.000007486835,0.03617879,0.00001117544,0.0001817563,0.1120754,0.0007816646,0.07550141],"study_design_scores_gemma":[0.001765189,0.0004192292,0.3225512,0.004607178,0.00001468686,3.095271e-7,0.5554841,0.0004248785,0.0001088006,0.007517619,0.106914,0.0001928639],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9340482,0.001179714,0.00001105869,0.01348724,0.00003715346,0.001042348,0.00001408306,0.00000789327,0.05017236],"genre_scores_gemma":[0.9979462,0.001678805,0.000001843094,0.00002296627,0.00004121317,0.0000584883,0.00001097335,0.000004242047,0.0002352928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5193053,"threshold_uncertainty_score":0.8647228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1250634539700275,"score_gpt":0.4991936607009597,"score_spread":0.3741302067309322,"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."}}