{"id":"W3012208933","doi":"10.3991/ijet.v15i05.11898","title":"A Framework to Leverage and Mature Learning Ecosystems","year":2020,"lang":"en","type":"article","venue":"International Journal of Emerging Technologies in Learning (iJET)","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Central Leather Research Institute","keywords":"Lifelong learning; Knowledge management; Social learning; Leverage (statistics); Corporate governance; Open learning; Pace; Experiential learning; Collaborative learning; Business; Informal learning; Learning organization; Cooperative learning; Computer science; Psychology; Mathematics education; Pedagogy; Artificial intelligence; Teaching method","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":[0.004286913,0.001095985,0.000532086,0.003886244,0.003565335,0.01295084,0.003025544,0.004243894,0.006341295],"category_scores_gemma":[0.004613074,0.000572476,0.001379391,0.002831699,0.01156078,0.01998081,0.01017725,0.003476517,0.001610376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005055188,"about_ca_system_score_gemma":0.00632261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006944338,"about_ca_topic_score_gemma":0.008689341,"domain_scores_codex":[0.9974189,0.0012776,0.0001726662,0.0004242285,0.0003470308,0.0003596065],"domain_scores_gemma":[0.9975743,0.0007952045,0.0002537575,0.0003643584,0.0004048529,0.0006075308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000222622,0.00001228081,0.000333463,0.00003519567,0.000004064221,0.0001092568,0.0009821781,0.001394407,0.00008979048,0.9908447,0.0009242431,0.005268165],"study_design_scores_gemma":[0.000006687641,0.0000171709,0.0003133974,0.0002038157,0.000009671778,0.0002153573,0.002312946,0.009008501,0.0001315823,0.8309348,0.1568268,0.00001926477],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01260061,0.0023702,0.7413245,0.01973396,0.0003495781,0.0005429112,0.0003279594,0.0008655144,0.2218848],"genre_scores_gemma":[0.3836613,0.003603759,0.5790347,0.0016065,0.000286168,0.001569635,0.000477823,0.0002717624,0.0294883],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01295084,"threshold_uncertainty_score":0.03667814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564180975164748,"score_gpt":0.2979610384715413,"score_spread":0.2823192287198938,"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."}}