{"id":"W2062963558","doi":"10.2316/journal.208.2006.1.208-1005","title":"A COLLABORATIVE LEARNING ENVIRONMENT ARCHITECTURE SUPPORTING QUALITY OF SERVICE","year":2006,"lang":"en","type":"article","venue":"Advanced Technology for Learning","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Adaptation (eye); Computer science; Architecture; Field (mathematics); Quality (philosophy); Service (business); Quality of service; Multimedia; Order (exchange); Human–computer interaction; Computer network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001036244,0.0004440018,0.0003977335,0.0006292498,0.001442984,0.002745446,0.001651705,0.002054501,0.003552911],"category_scores_gemma":[0.002023168,0.0003075472,0.0007720329,0.0006945831,0.0007387509,0.002135092,0.001780423,0.001104253,0.001093253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007532351,"about_ca_system_score_gemma":0.001997692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003509527,"about_ca_topic_score_gemma":0.002625237,"domain_scores_codex":[0.9990552,0.0002772182,0.00007452595,0.000160419,0.0002881731,0.0001444397],"domain_scores_gemma":[0.9988575,0.0002528993,0.00007461914,0.0002572884,0.0003441099,0.0002135119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001031836,0.001447663,0.00460404,0.0005188771,0.0002853869,0.001473159,0.001339583,0.336121,0.05016275,0.2665105,0.01106475,0.3254404],"study_design_scores_gemma":[0.0003664757,0.001119254,0.001780021,0.00007346308,0.0002146274,0.001178471,0.0001689102,0.8441081,0.02138915,0.0530745,0.07639365,0.000133316],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06286124,0.0002691202,0.9098982,0.0007543949,0.0001704094,0.0003644913,0.00009231855,0.002274008,0.0233158],"genre_scores_gemma":[0.5808344,0.0003150769,0.4034702,0.0001734719,0.0000809726,0.0003925306,0.0002217999,0.00007511172,0.01443651],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003552911,"threshold_uncertainty_score":0.0118857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002957281321460645,"score_gpt":0.2370715409961244,"score_spread":0.2341142596746637,"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."}}