{"id":"W1946980480","doi":"10.24908/pceea.v0i0.3815","title":"SCALING ISSUES ASSOCIATED WITH USING CLASSROOM TECHNOLOGIES","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Web and Library Services","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Context (archaeology); Inclusion (mineral); Emerging technologies; Educational technology; Value (mathematics); Computer science; Certainty; Pedagogy; Multimedia; Mathematics education; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.03373811,0.0008176542,0.000879822,0.002792783,0.004113215,0.01675754,0.004116774,0.003123837,0.01199353],"category_scores_gemma":[0.1516544,0.0008680588,0.0008408917,0.004035286,0.003793538,0.02272917,0.008156781,0.004493275,0.004827364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004519071,"about_ca_system_score_gemma":0.004410348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007761579,"about_ca_topic_score_gemma":0.005178003,"domain_scores_codex":[0.9548385,0.01367158,0.003399656,0.004080836,0.0218535,0.002156],"domain_scores_gemma":[0.8532906,0.06874177,0.007048638,0.02630018,0.03974473,0.004874163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002464692,0.0007883814,0.03351709,0.001303841,0.0001379033,0.0005354489,0.01526098,0.006849345,0.006629016,0.08951931,0.02255415,0.8226582],"study_design_scores_gemma":[0.0002078973,0.002166931,0.06799385,0.002881796,0.0003013483,0.002852929,0.05853914,0.02406823,0.009661087,0.2101179,0.6207649,0.0004440289],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3185686,0.009702072,0.1636755,0.05042733,0.002333601,0.002571787,0.0006727507,0.002757206,0.4492912],"genre_scores_gemma":[0.9194674,0.004369446,0.05193161,0.003767279,0.001121323,0.001866066,0.0003356666,0.0007948243,0.0163464],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03373811,"threshold_uncertainty_score":0.1784263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225464581629666,"score_gpt":0.1858877777528762,"score_spread":0.1736331319365795,"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."}}