{"id":"W2244158293","doi":"","title":"When Your LMS isn’t Enough: A Case for Combining an LMS with a CMS","year":2010,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Least mean squares filter; Mathematics; Adaptive filter; Algorithm","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":[0.02150915,0.0008097204,0.0006442586,0.001662744,0.009715337,0.01499182,0.004437758,0.01913502,0.01502845],"category_scores_gemma":[0.06768037,0.0009262427,0.001121195,0.001407324,0.007580408,0.02493245,0.01117765,0.01354752,0.006167384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002927916,"about_ca_system_score_gemma":0.003819313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003488715,"about_ca_topic_score_gemma":0.005304584,"domain_scores_codex":[0.972618,0.01348833,0.001137011,0.002123824,0.007514468,0.003118306],"domain_scores_gemma":[0.9530128,0.02373469,0.0025164,0.004356171,0.006458019,0.009921877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006814998,0.001361911,0.05464761,0.0004836172,0.0002346244,0.09538078,0.06838558,0.001699819,0.01036842,0.2968527,0.2289056,0.2409979],"study_design_scores_gemma":[0.0001610502,0.0006602617,0.0102739,0.001378097,0.0002940915,0.08438408,0.07747882,0.0197947,0.007928213,0.1625135,0.6347687,0.0003645279],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1449984,0.001344023,0.05925531,0.4390916,0.002880506,0.0001615922,0.00009180614,0.001507759,0.350669],"genre_scores_gemma":[0.8715129,0.0005953073,0.04599782,0.03735785,0.001071605,0.0001340471,0.00009639243,0.0009808784,0.0422532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02150915,"threshold_uncertainty_score":0.1137527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03584867013139914,"score_gpt":0.2919030192923356,"score_spread":0.2560543491609364,"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."}}