{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01138461,0.0008846649,0.0005834047,0.001603384,0.006097741,0.01041084,0.002100688,0.002879729,0.00514676],"category_scores_gemma":[0.02427584,0.0005175099,0.0005658608,0.001201056,0.01017952,0.01202987,0.006897541,0.008077725,0.001476817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002856344,"about_ca_system_score_gemma":0.002237167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003039537,"about_ca_topic_score_gemma":0.005215423,"domain_scores_codex":[0.9895782,0.006829232,0.0002200199,0.0006106918,0.001510975,0.001250966],"domain_scores_gemma":[0.9689204,0.02595617,0.0008038918,0.001040666,0.001852843,0.001426166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001276579,0.0005350483,0.003369832,0.0002262073,0.00001524589,0.002413083,0.9119805,0.000377587,0.002931974,0.02268226,0.007277424,0.04806325],"study_design_scores_gemma":[0.00001833157,0.0001986272,0.002241807,0.0003623998,0.00001714774,0.0009261196,0.8638837,0.0008869601,0.00434429,0.00723729,0.1198209,0.00006247733],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7560217,0.002444923,0.03240564,0.03389207,0.001234214,0.0003760101,0.0003407733,0.0003427201,0.1729418],"genre_scores_gemma":[0.9595698,0.001825301,0.005593291,0.003071713,0.0004046672,0.000127785,0.0000972341,0.0002971356,0.02901296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01138461,"threshold_uncertainty_score":0.06020826,"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."}}