{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001644803,0.0007200296,0.0005898018,0.001189214,0.0008317469,0.003862536,0.001367505,0.001381609,0.005477747],"category_scores_gemma":[0.00756361,0.0007358119,0.001294064,0.001253366,0.0005307164,0.009217719,0.004039963,0.001750434,0.001885723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005337765,"about_ca_system_score_gemma":0.000637051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001086434,"about_ca_topic_score_gemma":0.001769728,"domain_scores_codex":[0.9987625,0.0004164805,0.0001303815,0.0002243716,0.0003754148,0.0000909334],"domain_scores_gemma":[0.9955338,0.001763183,0.0002067469,0.001464897,0.000708755,0.0003226224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004173209,0.003264715,0.009921056,0.0003501262,0.0002210182,0.0004418937,0.001505035,0.1564056,0.01846995,0.07396623,0.004868954,0.7301682],"study_design_scores_gemma":[0.00006267959,0.0002315652,0.0006214744,0.00008099839,0.00008290497,0.0001230833,0.0003515478,0.9071426,0.01861928,0.0610581,0.01158817,0.00003767537],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07527307,0.00009276672,0.9152768,0.0001846911,0.00004409128,0.000184934,0.00009696813,0.003057407,0.005789305],"genre_scores_gemma":[0.4655181,0.0002344564,0.5251505,0.00008045976,0.00001365846,0.000341477,0.0005469443,0.0004974497,0.007616906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005477747,"threshold_uncertainty_score":0.01832491,"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."}}