{"id":"W3187967110","doi":"10.3390/educsci11080425","title":"Knowledge Building in Online Mode: Insights and Reflections","year":2021,"lang":"en","type":"article","venue":"Education Sciences","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Knowledge building; Asynchronous communication; Computer science; Online discussion; Analytics; Knowledge management; Leverage (statistics); Data science; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000127701,0.00004447047,0.00005707608,0.0001869467,0.000194528,0.0001812326,0.0002146192,0.00001936571,0.000003633131],"category_scores_gemma":[0.0001391526,0.00003999371,0.00001155219,0.00151299,0.00006436377,0.0003610227,0.00008006091,0.00008572315,0.000005490675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002172246,"about_ca_system_score_gemma":0.0007909536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003169129,"about_ca_topic_score_gemma":0.0002181235,"domain_scores_codex":[0.9993786,0.00005362861,0.000106687,0.0002597922,0.0001009435,0.0001003327],"domain_scores_gemma":[0.9996412,0.00007014196,0.0000310622,0.0001273068,0.00008547336,0.00004476043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[4.347216e-7,0.001120075,0.0219149,0.00002486129,0.00000547143,0.000004876804,0.01390362,0.001920173,0.005659032,0.7055225,0.0008722606,0.2490518],"study_design_scores_gemma":[0.0002770994,0.0001069981,0.04993232,0.0003352087,0.000008152448,0.00008735932,0.007397048,0.6809379,0.002831861,0.1917155,0.06587203,0.0004985786],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9526867,0.002530476,0.01903958,0.01659334,0.0009779128,0.00003571058,4.46898e-7,0.00006358083,0.008072288],"genre_scores_gemma":[0.9114621,0.00007946015,0.08681542,0.0001561726,0.00008529839,0.000002002799,0.0000011182,0.000001344013,0.001397095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6790177,"threshold_uncertainty_score":0.174763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05927602702450002,"score_gpt":0.437394687216105,"score_spread":0.3781186601916049,"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."}}