{"id":"W1572810886","doi":"","title":"Building E-Learning Architectures: Reconsidering the Structure of Distributed Learning Environments To Span the Digital Divide","year":2003,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"E-Learning and Knowledge Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Span (engineering); Artificial intelligence; Engineering","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"],"consensus_categories":[],"category_scores_codex":[0.001081138,0.0005175885,0.0004826891,0.0002658238,0.0009772193,0.0007789913,0.0008980726,0.0001328103,0.0001110058],"category_scores_gemma":[0.0006189094,0.0004008092,0.00009579599,0.001191058,0.0002270446,0.0002899645,0.0004296789,0.002080151,0.00003408541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004386287,"about_ca_system_score_gemma":0.0003194426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001895446,"about_ca_topic_score_gemma":0.0002411017,"domain_scores_codex":[0.9952196,0.001235907,0.0007638574,0.001033477,0.0009645164,0.000782665],"domain_scores_gemma":[0.9971691,0.0006597906,0.001076925,0.0007107042,0.00009499126,0.0002884591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001373438,0.0003487717,0.2625437,0.0002664023,0.0001311869,0.00001190659,0.006395384,0.042382,0.001317941,0.4297154,0.0005184662,0.2562315],"study_design_scores_gemma":[0.001624644,0.001593686,0.4785104,0.001934749,0.00008105465,0.00004676351,0.009715518,0.006972464,0.001772968,0.0356269,0.4601239,0.001996957],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8906854,0.001294826,0.02960889,0.03894384,0.002834862,0.002611804,0.00002782347,0.000476336,0.03351616],"genre_scores_gemma":[0.9852719,0.000115209,0.001380035,0.0005680948,0.0001307844,0.0000567015,0.00001928463,0.0000512562,0.01240674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4596055,"threshold_uncertainty_score":0.9998444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05416235346718667,"score_gpt":0.2649765968788015,"score_spread":0.2108142434116149,"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."}}