{"id":"W2285945197","doi":"","title":"Using the Knowledge Modeling Approach to Assess Effectiveness of Electronic Learning","year":2002,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Innovative Educational Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Champlain Regional College","funders":"","keywords":"Computer science; Data science; Artificial intelligence","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":[0.00187529,0.0003286082,0.0003802895,0.0003271725,0.0004536814,0.0002204325,0.0007832214,0.0001202184,0.00002538277],"category_scores_gemma":[0.0001874475,0.0002977889,0.0000460863,0.001822513,0.0001110136,0.0003920579,0.0002505372,0.001320007,0.0000207397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009531604,"about_ca_system_score_gemma":0.0006303012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000268583,"about_ca_topic_score_gemma":0.00004181881,"domain_scores_codex":[0.9962541,0.001253285,0.000521832,0.0007941771,0.0005949988,0.0005815387],"domain_scores_gemma":[0.9979652,0.0003782542,0.0006262933,0.0004971947,0.0004274998,0.0001055827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003807594,0.0005083058,0.02197743,0.0002369044,0.00002475445,5.286144e-7,0.001734618,0.01062741,0.000877779,0.9454542,0.00007550287,0.01844448],"study_design_scores_gemma":[0.00141378,0.001508383,0.2324271,0.002627555,0.00004265763,0.00002920549,0.0071425,0.6734195,0.001430054,0.06479901,0.01322794,0.001932348],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7298722,0.002918771,0.119441,0.01218416,0.002215222,0.002520689,0.000004825972,0.000607705,0.1302354],"genre_scores_gemma":[0.9901834,0.0001416529,0.005109276,0.0002029363,0.0001059673,0.000156208,0.000007435562,0.00003341418,0.004059769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8806552,"threshold_uncertainty_score":0.9999474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2119498540985323,"score_gpt":0.3466309833849242,"score_spread":0.1346811292863918,"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."}}