{"id":"W2901982539","doi":"","title":"Scripting and Orchestrating Learning Communities: A Role for Learning Analytics.","year":2017,"lang":"en","type":"article","venue":"Computer Supported Collaborative Learning","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Scripting language; Learning analytics; Analytics; Data science; Human–computer interaction; World Wide Web; Software engineering; Programming language","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":[0.004895658,0.0005354285,0.0005272065,0.001312054,0.001493399,0.004187184,0.002228849,0.00112005,0.004403471],"category_scores_gemma":[0.02266392,0.0003890572,0.0004879346,0.001242265,0.002200516,0.009413728,0.004212831,0.001613356,0.002415395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005785511,"about_ca_system_score_gemma":0.001976744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00139506,"about_ca_topic_score_gemma":0.001539527,"domain_scores_codex":[0.9964836,0.00193092,0.0002204189,0.0006348881,0.0005626028,0.0001674928],"domain_scores_gemma":[0.9823478,0.006225588,0.00139943,0.005909872,0.001479535,0.002637824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004313948,0.0007891881,0.01647081,0.0008278093,0.0001259979,0.0005207348,0.0135096,0.01738868,0.04421727,0.1985619,0.02330985,0.6838468],"study_design_scores_gemma":[0.00008647833,0.0003423936,0.005541516,0.0003881649,0.00007007216,0.0004744917,0.006594469,0.1937863,0.02788136,0.6041481,0.1605203,0.0001663426],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06642698,0.0009500023,0.8965027,0.001620343,0.0002978804,0.0005850326,0.000360763,0.01145658,0.02179964],"genre_scores_gemma":[0.5155461,0.0006272848,0.4709928,0.000327843,0.0001660715,0.0005719865,0.0009576388,0.001084631,0.009725627],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004895658,"threshold_uncertainty_score":0.02589101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02359888831048644,"score_gpt":0.2933381023513165,"score_spread":0.26973921404083,"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."}}