{"id":"W2238132473","doi":"","title":"Building Learning Webs Using Blended Learning Models","year":2006,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Camosun College; Vancouver Island University","funders":"","keywords":"Blended learning; Computer science; Environmental science; Artificial intelligence; Educational technology; Mathematics education; Psychology","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":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001606491,0.0007661106,0.0007658789,0.0007114034,0.00151175,0.001404624,0.0008893675,0.0003159292,0.0003451003],"category_scores_gemma":[0.0001524902,0.000871043,0.0001318654,0.001957864,0.0001557941,0.001818079,0.0003743693,0.003182765,0.0001185397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291743,"about_ca_system_score_gemma":0.001808254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002354671,"about_ca_topic_score_gemma":0.0003890467,"domain_scores_codex":[0.9930328,0.001420685,0.001174442,0.001728022,0.001356134,0.001287963],"domain_scores_gemma":[0.9964077,0.0003459668,0.001752241,0.0006020715,0.000407204,0.0004848542],"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":[0.0001044814,0.0005182492,0.09707275,0.0002079088,0.00003330986,0.00001562255,0.001421911,0.05315501,0.001494249,0.8133327,0.0005068593,0.03213689],"study_design_scores_gemma":[0.003835872,0.001838085,0.2959418,0.00320617,0.000110801,0.00010848,0.01357732,0.4251676,0.0007945212,0.07974064,0.1710006,0.004678101],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6484556,0.001842165,0.01973678,0.02955634,0.005841723,0.00207765,0.000006289367,0.001789371,0.2906941],"genre_scores_gemma":[0.9273083,0.0003748601,0.0114256,0.0006545214,0.0005137631,0.0001075143,0.00004631488,0.0001045252,0.05946464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7335922,"threshold_uncertainty_score":0.9997882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08647318574322221,"score_gpt":0.3065051823255069,"score_spread":0.2200319965822847,"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."}}