{"id":"W2269664611","doi":"","title":"Technology Drives Learning - Learning Never Ends","year":2002,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Active learning (machine learning); Artificial intelligence","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":[0.003746178,0.0004252262,0.0004019218,0.00114253,0.003131766,0.01299455,0.0008479636,0.003252324,0.02262736],"category_scores_gemma":[0.02081224,0.0004401628,0.0004467564,0.0007942122,0.007696623,0.0140546,0.00590887,0.002961963,0.00596138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001831327,"about_ca_system_score_gemma":0.002385136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004938368,"about_ca_topic_score_gemma":0.0007387699,"domain_scores_codex":[0.9939084,0.002211126,0.000239416,0.0008751724,0.001901778,0.000864055],"domain_scores_gemma":[0.9673382,0.01847016,0.002399266,0.003186282,0.004303881,0.004302153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002769793,0.0005639088,0.02217613,0.0003205847,0.00006193955,0.0003612344,0.0100662,0.001091347,0.001476389,0.8869658,0.008184865,0.06845456],"study_design_scores_gemma":[0.00008764284,0.0002429384,0.01512004,0.0001910028,0.00006298869,0.0003398178,0.01592939,0.002752019,0.003765731,0.870403,0.09104986,0.00005563463],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2267801,0.0008790748,0.01813192,0.01163297,0.0002836415,0.0001090722,0.0001079972,0.0001997621,0.7418755],"genre_scores_gemma":[0.9818309,0.0002522684,0.00167768,0.0005150684,0.00005754462,0.00004772601,0.00004395602,0.00008153523,0.01549342],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02262736,"threshold_uncertainty_score":0.07569605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03006017231411791,"score_gpt":0.2978286227894415,"score_spread":0.2677684504753236,"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."}}