{"id":"W2240767361","doi":"","title":"A Collaboratory Ubiquitous Pedagogical Environment","year":2005,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Collaboratory; Computer science; Human–computer interaction; World Wide Web","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":[0.002353808,0.0006422746,0.0006570763,0.0007616299,0.002941856,0.004096014,0.002413854,0.00227407,0.01385695],"category_scores_gemma":[0.003272032,0.0004880234,0.0007667788,0.0008858272,0.0007946895,0.004415143,0.01371043,0.00171724,0.00559754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003110651,"about_ca_system_score_gemma":0.001382569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000879021,"about_ca_topic_score_gemma":0.001550414,"domain_scores_codex":[0.9978359,0.0008382986,0.0001330637,0.0004254398,0.0004970458,0.0002700961],"domain_scores_gemma":[0.9964413,0.0006971791,0.00009890206,0.001194621,0.0003154777,0.001252446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0019949,0.002777409,0.01183132,0.000518477,0.0001357194,0.002779353,0.01452388,0.005076297,0.08215979,0.08485088,0.06470161,0.7286504],"study_design_scores_gemma":[0.001020741,0.003064086,0.008382607,0.000276133,0.0003109871,0.004721181,0.006727269,0.1139441,0.04454553,0.05629189,0.76035,0.0003653528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1070224,0.0007104868,0.7822683,0.00119733,0.000729194,0.0005923214,0.0005004915,0.03360757,0.07337195],"genre_scores_gemma":[0.5270768,0.0004207776,0.4140722,0.0006811938,0.0002634894,0.0008172658,0.001006226,0.001435971,0.05422598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01385695,"threshold_uncertainty_score":0.04635608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03883946845623472,"score_gpt":0.2872327565973938,"score_spread":0.2483932881411591,"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."}}